Download Mobile App

Video Library

Clinical Software Effectively Categorizes Benign and Malignant Spots on Smokers’ Lung Scans

By MedImaging International staff writers
Posted on 17 Sep 2013

A study has developed a new clinical risk calculator software that effectively classifies, nine out of 10 times, which spots (lesions[nodules]) are benign and cancerous on an initial lung computed tomography (CT) scan among individuals at high risk for lung cancer.

The findings are expected to have immediate clinical bearing worldwide among health professionals who currently diagnose and treat individuals at risk for or who are diagnosed with lung cancer, and provide new evidence for developing and improving lung-cancer screening programs. A total of 12,029 lung cancer nodules seen on CT scans of 2,961 current and former smokers were studied in the population-based study.

The investigators, from the Terry Fox Research Institute (TFRI; Vancouver, BC, Canada), and other Canadian institutions, published their study’s findings in the September 5, 2013, issue of the New England Journal of Medicine (NEJM), and will have an instant impact on clinical practice, according to co-lead investigator Dr. Stephen Lam, chair of BC’s Provincial Lung Tumor Group at the BC Cancer Agency and a professor of medicine at the University of British Columbia (Vancouver, BC, Canada).

“We already know that CT screening saves lives. Now, we have evidence that our model and risk calculator can accurately predict which abnormalities that show up on a first CT require further follow-up, such as a repeat CT scan, a biopsy, or surgery, and which ones do not. This is extremely good news for everyone—from the people who are high risk for developing lung cancer to the radiologists, respirologists, and thoracic surgeons who detect and treat it. Currently, there are no Canadian guidelines for us to use in clinical practice.”

In countries where guidelines do exist, they largely relate to nodule size. The pan-Canadian investigators’ prediction model, developed by Brock University (St. Catharines, ON, Canada) epidemiologist Dr. Martin Tammemägi, includes a risk calculator that takes into account several factors in addition to size: older age, female sex, family history of lung cancer, emphysema, nodule location in the upper lobe, part-solid nodule type, lower nodule count and spiculation. “Reducing the number of needless tests and increasing rapid, intensive diagnostic workups in individuals with high-risk nodules are major goals of the model,” said Dr. Tammemägi.

The TFRI team used two sets of data to determine their findings, studying 12,029 nodules from 2,961 individuals—current and former smokers, aged 50–75, who had undergone low-dose CT screening. One set involved participants in the TFRI Pan-Canadian Early Detection of Lung Cancer Study from 2008 to 2010, where 1,871 individuals with a total of 7,008 nodules (102 of which were malignant) were screened and tracked. The other set involved 1,090 persons with 5,021 nodules (of which 42 were malignant) who took part in several lung cancer prevention trials conducted by the BC Cancer Agency during 2000-2010 and were funded through the US National Cancer Institute (NCI; Bethesda, MD, USA). In the former study, participants were followed for an average of three years; in the latter, for an average of eight-and-a-half years.

Dr. Lam noted that the prediction model holds up even in cases where clinicians are faced with the roughest challenges; for example, deciding what to do when nodules are one centimeter (the approximate width of an adult thumbnail) or smaller. Whereas nodule size is one predictor of lung cancer, the largest nodule appearing on the CT was not necessarily cancerous. The pan-Canadian study researchers discovered that nodules located in the upper lobes of the lung carry an increased possibility of cancer. In both data sets studied, researchers found that where cancer was present, fewer nodules were found. This model will simplify the work involved, particularly for radiologists, in evaluating and assessing nodules on scans, as well as respirologists and thoracic surgeons who must make decisions about tests and treatment for their patients.

“An accurate and practical model that can predict the probability that a lung nodule is malignant and that can be used to guide clinical decision making will reduce costs and the risk of morbidity and mortality in screening programs,” wrote Dr. Lam and study colleagues in the article.

“The findings in this study bolster the potential for the successful implementation of a lung cancer screening program using low-dose computed tomography [CT] within a high-risk population. This tool, combined with CT-screening, will increase our success in earlier detection, diagnosis and treatment of the disease. Further, this model combined with new guidelines for best clinical practice, will provide our health care system with both effective and affordable tools to implement such a program,” said thoracic surgeon Dr. Michael Johnston, a member of the study team from Nova Scotia (Canada). Dr. Johnston serves on the executive of the Terry Fox Research Institute and is chair of the medical advisory committee of Lung Cancer Canada.

“Many jurisdictions throughout the world are now considering whether or how to best implement lung cancer screening. Studies like this one are key to answering important questions so decisions are most likely to result in good practice and planning, and ultimately benefit patients,” said Dr. Heather Bryant, vice-president, cancer control at the Canadian Partnership Against Cancer.

The significant findings come on the heels of the US National Lung Screening Trial (2011) that found a 20% reduction in lung cancer mortality with the use of low-dose thoracic CT.

Dr. Christine Berg, co-principal investigator of the US National Lung Screening Trial and former chief, Early Detection Research Group, division of cancer prevention, for the National Cancer Institute in the United States, said, “This important work of Dr. Lam and colleagues is a major advance for clinicians performing lung cancer screening. They provide a tool to grapple with the problem of the high rate of positive low-dose CT scans. Fewer follow-up scans with their attendant cost and fewer biopsies with their complications will need to be performed while continuing to diagnosis lung cancer at an early stage to lower mortality. Coupled with continued public health efforts to lower cigarette smoking, this work will have international impact on the leading cause of cancer death worldwide.”

Related Links:
Terry Fox Research Institute
Brock University
University of British Columbia

Visit expo >

Gold Member

Electrode Solution and Skin Prep

Signaspray

Gold Member

Ultrasound System

FUTUS LE

X-Ray Protective Head Cap

RA611 & RA612

Forensic Imaging System

EXERO-DR

Latest Imaging IT News

Channels

Radiography

view channel

3D Mammography Almost Halves Breast Cancer Incidence between Two Screening Tests

Breast cancer represents 28.9% of all cancers in women and is the primary cause of cancer-related deaths among this group. Interval breast cancers are those diagnosed in the period between two screening... Read more

MRI

view channel

Image: PET/MRI can accurately classify prostate cancer patients (Photo courtesy of 123RF)

PET/MRI Improves Diagnostic Accuracy for Prostate Cancer Patients

The Prostate Imaging Reporting and Data System (PI-RADS) is a five-point scale to assess potential prostate cancer in MR images. PI-RADS category 3 which offers an unclear suggestion of clinically significant... Read more

Next Generation MR-Guided Focused Ultrasound Ushers In Future of Incisionless Neurosurgery

Essential tremor, often called familial, idiopathic, or benign tremor, leads to uncontrollable shaking that significantly affects a person’s life. When traditional medications do not alleviate symptoms,... Read more

Image: Shorter scan to diagnose prostate cancer can increase availability and reduce cost (Photo courtesy of 123RF)

Two-Part MRI Scan Detects Prostate Cancer More Quickly without Compromising Diagnostic Quality

Prostate cancer ranks as the most prevalent cancer among men. Over the last decade, the introduction of MRI scans has significantly transformed the diagnosis process, marking the most substantial advancement... Read more

World’s Most Powerful MRI Machine Images Living Brain with Unrivaled Clarity

The world's most powerful magnetic resonance imaging (MRI) scanner has generated its first images of the human brain, demonstrating new precision levels that could shed more light on the mysterious human... Read more

Ultrasound

view channel

Deep Learning Advances Super-Resolution Ultrasound Imaging

Ultrasound localization microscopy (ULM) is an advanced imaging technique that offers high-resolution visualization of microvascular structures. It employs microbubbles, FDA-approved contrast agents, injected... Read more

Image: Schematic diagram of the ultrasound-stimulated phase-shift nanoparticle drug delivery system for biofilm therapy (Photo courtesy of BIO Integration)

Novel Ultrasound-Launched Targeted Nanoparticle Eliminates Biofilm and Bacterial Infection

Biofilms, formed by bacteria aggregating into dense communities for protection against harsh environmental conditions, are a significant contributor to various infectious diseases. Biofilms frequently... Read more

AI-Guided Ultrasound System Enables Rapid Assessments of DVT

Deep vein thrombosis (DVT), a condition in which a blood clot is usually found in the leg, is a major cause of preventable hospital death in Europe and the United States. Patients have to wait for hours... Read more

Image: The QA protocol will ensure guided focused ultrasound devices and treatment is safe and function consistently (Photo courtesy of Chen Lab)

Focused Ultrasound Technique Gets Quality Assurance Protocol

In recent years, researchers have harnessed the potential of focused ultrasound (FUS) in combination with microbubbles to temporarily open the blood-brain barrier (BBB), a method that significantly enhances... Read more

Nuclear Medicine

view channel

New SPECT/CT Technique Could Change Imaging Practices and Increase Patient Access

The development of lead-212 (212Pb)-PSMA–based targeted alpha therapy (TAT) is garnering significant interest in treating patients with metastatic castration-resistant prostate cancer. The imaging of 212Pb,... Read more

New Radiotheranostic System Detects and Treats Ovarian Cancer Noninvasively

Ovarian cancer is the most lethal gynecological cancer, with less than a 30% five-year survival rate for those diagnosed in late stages. Despite surgery and platinum-based chemotherapy being the standard... Read more

AI System Automatically and Reliably Detects Cardiac Amyloidosis Using Scintigraphy Imaging

Cardiac amyloidosis, a condition characterized by the buildup of abnormal protein deposits (amyloids) in the heart muscle, severely affects heart function and can lead to heart failure or death without... Read more

Early 30-Minute Dynamic FDG-PET Acquisition Could Halve Lung Scan Times

F-18 FDG-PET scans are a way to look inside the body using a special dye, and these scans can be either static or dynamic. Static scans happen 60 minutes after the dye is administered into the body, showing... Read more

General/Advanced Imaging

view channel

Image: The Tyche machine-learning model could help capture crucial information. (Photo courtesy of 123RF)

New AI Method Captures Uncertainty in Medical Images

In the field of biomedicine, segmentation is the process of annotating pixels from an important structure in medical images, such as organs or cells. Artificial Intelligence (AI) models are utilized to... Read more

CT Coronary Angiography Reduces Need for Invasive Tests to Diagnose Coronary Artery Disease

Coronary artery disease (CAD), one of the leading causes of death worldwide, involves the narrowing of coronary arteries due to atherosclerosis, resulting in insufficient blood flow to the heart muscle.... Read more

$Image: An amyloid blood test can help identify patients who may forgo imaging evaluation for Alzheimer\'s disease (Photo courtesy of 123RF)$

Novel Blood Test Could Reduce Need for PET Imaging of Patients with Alzheimer’s

Alzheimer's disease (AD), a condition marked by cognitive decline and the presence of beta-amyloid (Aβ) plaques and neurofibrillary tangles in the brain, poses diagnostic challenges. Amyloid positron emission... Read more

CT-Based Deep Learning Algorithm Accurately Differentiates Benign From Malignant Vertebral Fractures

The rise in the aging population is expected to result in a corresponding increase in the prevalence of vertebral fractures which can cause back pain or neurologic compromise, leading to impaired function... Read more

Industry News

view channel

Bayer and Google Partner on New AI Product for Radiologists

Medical imaging data comprises around 90% of all healthcare data, and it is a highly complex and rich clinical data modality and serves as a vital tool for diagnosing patients. Each year, billions of medical... Read more

Image: Samsung Medison CEO Mr. Yongkwan Kim and Bracco Imaging CEO Dr. Fulvio Renoldi Bracco endorsed a MoU agreement (Photo courtesy of Bracco Group)

Samsung and Bracco Enter Into New Diagnostic Ultrasound Technology Agreement

Samsung Medison (Seoul, South Korea) and Bracco Imaging (Milan, Italy) have entered into a Memorandum of Understanding (MoU) agreement to pioneer a new area for diagnostic ultrasound devices and contrast agents.... Read more

Image: The acquisition will expand IBA’s medical imaging quality assurance offering (Photo courtesy of Radcal)

IBA Acquires Radcal to Expand Medical Imaging Quality Assurance Offering

Ion Beam Applications S.A. (IBA, Louvain-La-Neuve, Belgium), the global leader in particle accelerator technology and a world-leading provider of dosimetry and quality assurance (QA) solutions, has entered... Read more

International Societies Suggest Key Considerations for AI Radiology Tools

Artificial intelligence (AI) holds the potential to significantly disrupt the field of radiology, presenting both opportunities and challenges. Its integration could transform healthcare by enhancing the... Read more

1 (80.108642578125): SET sql_mode = 'MYSQL40'

2 (!!!!! 3438.9495849609): SELECT folder, element, published, params FROM jos_mambots WHERE published >= 1 AND access <= 0 AND folder = 'system' ORDER BY ordering

3 (!!!!! 10425.090789795): SELECT template FROM jos_templates_menu WHERE client_id = 0 AND ( menuid = 0 OR menuid = 294748254 ) ORDER BY menuid DESC LIMIT 1

4 (338.07754516602): DELETE FROM jos_session WHERE time < 1750255810 AND guest = 1 AND userid = 0

5 (48.87580871582): SELECT livesite FROM jos_dp_categories WHERE id=10 AND published='1' LIMIT 1

6 (31.948089599609): SELECT livesite FROM jos_dp_categories WHERE id=10 AND published='1' LIMIT 1

7 (30.994415283203): SELECT livesite FROM jos_dp_categories WHERE id=10 AND published='1' LIMIT 1

8 (356.91261291504): SELECT * FROM jos_menu WHERE id = 294748254

9 (!!!!! 1470.0889587402): SELECT dp.*, ch.title as channel, ch.name as channel_name, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 #AND dp.cat=10 AND dp.id=294748254 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

10 (628.94821166992): SELECT dp.*, ch.title as channel, ch.name as channel_name, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets_archive as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 #AND dp.cat=10 AND dp.id=294748254 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

11 (82.015991210938): SELECT dp.*, ch.title as channel, ch.name as channel_name, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets_archive as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 #AND dp.cat=10 AND dp.id=294748254 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

12 (952.95906066895): SELECT * FROM jos_deeppockets WHERE 1=1 AND cat=10 AND type='deeppockets_item' AND published='1' AND (id<>294748254) AND (fid=216) ORDER BY id DESC, `created` DESC LIMIT 0,16

13 (398.87428283691): SELECT * FROM jos_deeppockets WHERE 1=1 AND cat=10 AND type='deeppockets_item' AND published='1' AND (id<>294748254) AND (fid=216) ORDER BY id DESC, `created` DESC LIMIT 0,16

14 (!!!!! 8298.8739013672): SELECT jos_item.* FROM jos_item INNER JOIN jos_number ON jos_item.numberID=jos_number.id WHERE 1=1 AND (jos_item.imgMini<>'') AND jos_item.type='P' AND jos_item.numberID= ( SELECT jos_number.id FROM jos_number WHERE jos_number.journalID IN (10) and jos_item.fid=216 and jos_number.id in (select distinct jos_number.id from jos_number join jos_item on jos_item.numberid=jos_number.id where jos_item.type='P') ORDER BY (CONVERT(SUBSTRING(issue,1,2),SIGNED) + (CONVERT(SUBSTRING(issue,3,2),SIGNED)*100)) DESC LIMIT 0,1 ) AND (jos_number.channelID=294748254 OR jos_number.channelID=0) ORDER BY RAND() DESC LIMIT 3

15 (!!!!! 4707.0980072021): SELECT jos_item.* FROM jos_item INNER JOIN jos_number ON jos_item.numberID=jos_number.id WHERE 1=1 AND (jos_item.imgMini<>'') AND jos_item.type='P' AND jos_item.numberID= ( SELECT jos_number.id FROM jos_number WHERE jos_number.journalID IN (10) and jos_item.fid=216 and jos_number.id in (select distinct jos_number.id from jos_number join jos_item on jos_item.numberid=jos_number.id where jos_item.type='P') ORDER BY (CONVERT(SUBSTRING(issue,1,2),SIGNED) + (CONVERT(SUBSTRING(issue,3,2),SIGNED)*100)) DESC LIMIT 0,1 ) AND (jos_number.channelID=294748254 OR jos_number.channelID=0) ORDER BY RAND() DESC LIMIT 3

16 (!!!!! 4034.0423583984): SELECT jos_item.* FROM jos_item INNER JOIN jos_number ON jos_item.numberID=jos_number.id WHERE 1=1 AND (jos_item.imgMini<>'') AND jos_item.type='P' AND jos_item.numberID= ( SELECT jos_number.id FROM jos_number WHERE jos_number.journalID IN (10) and jos_number.id in (select distinct jos_number.id from jos_number join jos_item on jos_item.numberid=jos_number.id where jos_item.type='P') ORDER BY (CONVERT(SUBSTRING(issue,1,2),SIGNED) + (CONVERT(SUBSTRING(issue,3,2),SIGNED)*100)) DESC LIMIT 0,1 ) AND (jos_number.channelID=294748254 OR jos_number.channelID=0) ORDER BY RAND() DESC LIMIT 3

17 (!!!!! 4113.9125823975): SELECT jos_item.* FROM jos_item INNER JOIN jos_number ON jos_item.numberID=jos_number.id WHERE 1=1 AND (jos_item.imgMini<>'') AND jos_item.type='P' AND jos_item.numberID= ( SELECT jos_number.id FROM jos_number WHERE jos_number.journalID IN (10) and jos_number.id in (select distinct jos_number.id from jos_number join jos_item on jos_item.numberid=jos_number.id where jos_item.type='P') ORDER BY (CONVERT(SUBSTRING(issue,1,2),SIGNED) + (CONVERT(SUBSTRING(issue,3,2),SIGNED)*100)) DESC LIMIT 0,1 ) AND (jos_number.channelID=294748254 OR jos_number.channelID=0) ORDER BY RAND() DESC LIMIT 3

18 (!!!!! 2500.057220459): SELECT name,id,title FROM jos_deeppockets WHERE id=216 LIMIT 1

19 (705.00373840332): SELECT name,id,title FROM jos_deeppockets WHERE id=216 LIMIT 1

20 (!!!!! 2063.9896392822): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.id=294748254 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

21 (!!!!! 1203.0601501465): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets_archive as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.id=294748254 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

22 (67.949295043945): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.id=294748254 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

23 (53.882598876953): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets_archive as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.id=294748254 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

24 (!!!!! 9261.8465423584): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.cat=10 AND dp.id=294748254 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

25 (!!!!! 6839.9906158447): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets_archive as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.cat=10 AND dp.id=294748254 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

26 (226.02081298828): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.id=294748254 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

27 (411.9873046875): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets_archive as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.id=294748254 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

28 (188.11225891113): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.cat=10 AND dp.id=294748254 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

29 (130.17654418945): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets_archive as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.cat=10 AND dp.id=294748254 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

30 (348.09112548828): SELECT conference_items.channel_id, conference_items.tracking_code FROM conference_items LEFT JOIN conference_groups ON conference_groups.id = conference_items.group_id LEFT JOIN jos_deeppockets ON jos_deeppockets.id = conference_items.channel_id LEFT JOIN jos_journal ON jos_journal.cat = jos_deeppockets.cat AND jos_journal.real = 1 AND jos_journal.directory IS NOT NULL WHERE 1 = 1 ORDER BY conference_items.id

31 (!!!!! 1054.048538208): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294748254 LIMIT 1

32 (51.021575927734): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294748254 LIMIT 1

33 (315.90461730957): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets_archive AS dp WHERE dp.id = 294748254 LIMIT 1

34 (38.14697265625): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets_archive AS dp WHERE dp.id = 294748254 LIMIT 1

35 (53.882598876953): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294748254 LIMIT 1

36 (33.140182495117): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294748254 LIMIT 1

37 (30.994415283203): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets_archive AS dp WHERE dp.id = 294748254 LIMIT 1

38 (30.994415283203): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets_archive AS dp WHERE dp.id = 294748254 LIMIT 1

39 (!!!!! 1116.9910430908): SELECT id, title, module, position, content, showtitle, params FROM jos_modules AS m INNER JOIN jos_modules_menu AS mm ON mm.moduleid = m.id WHERE m.published = 1 AND m.access <= 0 AND m.client_id != 1 AND ( mm.menuid = 0 OR mm.menuid = 294748254 ) ORDER BY ordering

40 (!!!!! 1854.8965454102): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

41 (77.962875366211): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

42 (!!!!! 4621.9825744629): SELECT * FROM jos_bannersmanager_banner WHERE `groupid` = 98 AND `site_id` = 10 AND `published` = 1

43 (!!!!! 4966.9742584229): SELECT * FROM jos_bannersmanager_banner WHERE `groupid` = 99 AND `site_id` = 10 AND `published` = 1

44 (!!!!! 2426.1474609375): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

45 (!!!!! 9865.9992218018): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

46 (!!!!! 2769.947052002): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

47 (!!!!! 1006.8416595459): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

48 (!!!!! 3176.9275665283): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

49 (107.0499420166): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

50 (170.23086547852): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

51 (75.101852416992): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

52 (288.00964355469): SELECT name FROM jos_deeppockets WHERE id=294748254 LIMIT 1

53 (185.01281738281): SELECT name FROM jos_deeppockets_archive WHERE id=294748254 LIMIT 1

54 (254.15420532227): SELECT a.* FROM jos_components AS a WHERE ( a.admin_menu_link = 'option=com_syndicate' OR a.admin_menu_link = 'option=com_syndicate&hidemainmenu=1' ) AND a.option = 'com_syndicate'

55 (200.03318786621): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.cat=10 AND dp.id=294748254 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

56 (!!!!! 1352.071762085): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets_archive as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.cat=10 AND dp.id=294748254 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

57 (!!!!! 1319.8852539062): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

58 (61.988830566406): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

59 (126.12342834473): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

60 (63.180923461914): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

61 (92.983245849609): select cover from jos_number where journalid in (5) and cover is not null order by left(issue,2)+right(issue,2)*12 desc limit 1

62 (498.05641174316): SELECT fid FROM jos_deeppockets WHERE id=294748254 AND published='1' union SELECT fid FROM jos_deeppockets_archive WHERE id=294748254 AND published='1' LIMIT 1

63 (431.06079101562): SELECT id,name,sponsor_text FROM jos_deeppockets dp left outer join jos_channel_sponsor cs on dp.id=cs.fid WHERE cat=10 AND TYPE='file_folder' AND published=1 AND id=216 ORDER BY `ordering`

64 (52.928924560547): select jos_twitters.link from jos_twitters where cat=10

65 (30.994415283203): select jos_facebook.link from jos_facebook where cat=10

66 (30.994415283203): select jos_google_plus.link from jos_google_plus where cat=10

67 (29.087066650391): select jos_linkedin.link from jos_linkedin where cat=10

68 (31.948089599609): SELECT fid FROM jos_deeppockets WHERE id=294748254 AND published='1' union SELECT fid FROM jos_deeppockets_archive WHERE id=294748254 AND published='1' LIMIT 1

69 (36.001205444336): SELECT id,name,sponsor_text FROM jos_deeppockets dp left outer join jos_channel_sponsor cs on dp.id=cs.fid WHERE cat=10 AND TYPE='file_folder' AND published=1 AND id=216 ORDER BY `ordering`

70 (250.10108947754): SELECT fid FROM jos_deeppockets WHERE cat=10 AND id=294748254 AND (type='deeppockets_item' OR type='deeppockets_item_link') AND published='1' LIMIT 1

71 (218.86825561523): SELECT fid FROM jos_deeppockets_archive WHERE cat=10 AND id=294748254 AND (type='deeppockets_item' OR type='deeppockets_item_link') AND published='1' LIMIT 1

72 (49.829483032227): SELECT id,name,title FROM jos_deeppockets WHERE cat=10 AND TYPE='file_folder' AND published=1 AND id != 294743300 AND id != 294743301 AND id != 294743302 AND id != 294743303 AND id != 294743304 AND id != 294743305 AND id != 294743306 AND id != 294743307 AND id != 294743308 AND id != 294743309 AND id != 294743310 AND metakey != 'aacc' ORDER BY `ordering`

73 (63.896179199219): SELECT show_live FROM jos_com_show_setting LIMIT 1

74 (32.186508178711): SELECT show_live FROM jos_com_show_setting LIMIT 1

75 (28.133392333984): SELECT show_live FROM jos_com_show_setting LIMIT 1

76 (28.133392333984): SELECT show_live FROM jos_com_show_setting LIMIT 1

77 (26.941299438477): SELECT show_live FROM jos_com_show_setting LIMIT 1

78 (27.894973754883): SELECT show_live FROM jos_com_show_setting LIMIT 1

79 (26.941299438477): SELECT show_live FROM jos_com_show_setting LIMIT 1

80 (34.093856811523): SELECT show_live FROM jos_com_show_setting LIMIT 1

81 (33.855438232422): SELECT show_live FROM jos_com_show_setting LIMIT 1

82 (28.133392333984): SELECT show_live FROM jos_com_show_setting LIMIT 1

83 (26.941299438477): SELECT show_live FROM jos_com_show_setting LIMIT 1

84 (27.894973754883): SELECT show_live FROM jos_com_show_setting LIMIT 1

85 (30.994415283203): SELECT show_live FROM jos_com_show_setting LIMIT 1

86 (27.894973754883): SELECT show_live FROM jos_com_show_setting LIMIT 1

87 (56.982040405273): SELECT fid FROM jos_deeppockets WHERE cat=10 AND id=294748254 AND (type='deeppockets_item' OR type='deeppockets_item_link') AND published='1' LIMIT 1

88 (30.040740966797): SELECT fid FROM jos_deeppockets_archive WHERE cat=10 AND id=294748254 AND (type='deeppockets_item' OR type='deeppockets_item_link') AND published='1' LIMIT 1

89 (35.04753112793): SELECT id,name,title FROM jos_deeppockets WHERE cat=10 AND TYPE='file_folder' AND published=1 AND id != 294743300 AND id != 294743301 AND id != 294743302 AND id != 294743303 AND id != 294743304 AND id != 294743305 AND id != 294743306 AND id != 294743307 AND id != 294743308 AND id != 294743309 AND id != 294743310 AND metakey != 'aacc' ORDER BY `ordering`

90 (52.928924560547): SELECT show_live FROM jos_com_show_setting LIMIT 1

91 (30.994415283203): SELECT show_live FROM jos_com_show_setting LIMIT 1

92 (27.894973754883): SELECT show_live FROM jos_com_show_setting LIMIT 1

93 (27.894973754883): SELECT show_live FROM jos_com_show_setting LIMIT 1

94 (27.894973754883): SELECT show_live FROM jos_com_show_setting LIMIT 1

95 (27.894973754883): SELECT show_live FROM jos_com_show_setting LIMIT 1

96 (33.855438232422): SELECT show_live FROM jos_com_show_setting LIMIT 1

97 (28.133392333984): SELECT show_live FROM jos_com_show_setting LIMIT 1

98 (30.040740966797): SELECT show_live FROM jos_com_show_setting LIMIT 1

99 (27.894973754883): SELECT show_live FROM jos_com_show_setting LIMIT 1

100 (27.179718017578): SELECT show_live FROM jos_com_show_setting LIMIT 1

101 (32.186508178711): SELECT show_live FROM jos_com_show_setting LIMIT 1

102 (36.001205444336): SELECT show_live FROM jos_com_show_setting LIMIT 1

103 (30.994415283203): SELECT show_live FROM jos_com_show_setting LIMIT 1

104 (73.19450378418): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

105 (45.061111450195): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

106 (55.074691772461): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.cat=10 AND dp.id=294748254 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

107 (49.829483032227): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets_archive as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.cat=10 AND dp.id=294748254 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

108 (82.015991210938): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

109 (47.206878662109): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

110 (49.114227294922): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.id=294748254 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

111 (487.08915710449): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets_archive as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.id=294748254 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

112 (580.0724029541): SELECT dp.name, dp.id, dp2.name as channel, ex.name as author_name, ex.specialization, ex.images FROM jos_deeppockets as dp LEFT JOIN jos_experts as ex ON ex.id = dp.author LEFT JOIN jos_deeppockets as dp2 ON dp2.id = dp.fid WHERE dp.author != 0 AND dp.cat = 10 AND dp.published = 1 AND ( (dp.fid = 294743300) OR (dp.fid = 294743301) OR (dp.fid = 294743302) OR (dp.fid = 294743303) OR (dp.fid = 294743304) OR (dp.fid = 294743305) OR (dp.fid = 294743306) OR (dp.fid = 294743307) OR (dp.fid = 294743308) OR (dp.fid = 294743309) OR (dp.fid = 294743310) ) ORDER BY RAND() LIMIT 1

113 (360.96572875977): SELECT dp.name, dp.id, dp2.name as channel, ex.name as author_name, ex.specialization, ex.images FROM jos_deeppockets as dp LEFT JOIN jos_experts as ex ON ex.id = dp.author LEFT JOIN jos_deeppockets as dp2 ON dp2.id = dp.fid WHERE dp.author != 0 AND dp.cat = 10 AND dp.published = 1 AND ( (dp.fid = 294743300) OR (dp.fid = 294743301) OR (dp.fid = 294743302) OR (dp.fid = 294743303) OR (dp.fid = 294743304) OR (dp.fid = 294743305) OR (dp.fid = 294743306) OR (dp.fid = 294743307) OR (dp.fid = 294743308) OR (dp.fid = 294743309) OR (dp.fid = 294743310) ) ORDER BY RAND() LIMIT 1

114 (120.16296386719): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

115 (83.208084106445): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

116 (177.86026000977): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

117 (68.187713623047): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

118 (139.95170593262): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

119 (59.843063354492): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

120 (324.01084899902): SELECT * FROM trending_articles WHERE `journal_id` = 10 AND `timestamp` <= NOW() + INTERVAL 7 DAY ORDER BY `order`

121 (!!!!! 21204.948425293): SELECT * FROM jos_deeppockets WHERE jos_deeppockets.cat = 10 AND jos_deeppockets.type = 'deeppockets_item' AND jos_deeppockets.published = 1 AND jos_deeppockets.created + INTERVAL 14 DAY >= NOW() ORDER BY jos_deeppockets.hits DESC LIMIT 7

122 (95.129013061523): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

123 (46.968460083008): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

124 (482.08236694336): SELECT fid FROM jos_deeppockets WHERE cat=10 AND id=294748254 AND type='deeppockets_item' AND published='1' union SELECT fid FROM jos_deeppockets_archive WHERE cat=10 AND id=294748254 AND type='deeppockets_item' AND published='1' LIMIT 1

125 (!!!!! 550004.00543213): ( SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.video != '' AND dp.video_source != '' AND dp.cat = 10 AND dp.published = 1 AND dp.type != 'deeppockets_item_link' ORDER BY created DESC LIMIT 3 ) UNION ( SELECT dpa.id, dpa.name, dpa.title, dpa.video, dpa.video_source, dpa.created FROM jos_deeppockets_archive AS dpa WHERE dpa.video != '' AND dpa.video_source != '' AND dpa.cat = 10 AND dpa.published = 1 AND dpa.type != 'deeppockets_item_link' ORDER BY created DESC LIMIT 3 ) ORDER BY created DESC LIMIT 3

126 (81.062316894531): ( SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.video != '' AND dp.video_source != '' AND dp.cat = 10 AND dp.published = 1 AND dp.type != 'deeppockets_item_link' ORDER BY created DESC LIMIT 3 ) UNION ( SELECT dpa.id, dpa.name, dpa.title, dpa.video, dpa.video_source, dpa.created FROM jos_deeppockets_archive AS dpa WHERE dpa.video != '' AND dpa.video_source != '' AND dpa.cat = 10 AND dpa.published = 1 AND dpa.type != 'deeppockets_item_link' ORDER BY created DESC LIMIT 3 ) ORDER BY created DESC LIMIT 3

127 (36.001205444336): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800513 LIMIT 1

128 (30.040740966797): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800513 LIMIT 1

129 (38.862228393555): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800359 LIMIT 1

130 (30.040740966797): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800359 LIMIT 1

131 (43.153762817383): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800361 LIMIT 1

132 (36.954879760742): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800361 LIMIT 1

133 (576.01928710938): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND (type='deeppockets_item' OR type='deeppockets_item_link') AND published='1' LIMIT 1

134 (444.17381286621): SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND (type='deeppockets_item' OR type='deeppockets_item_link') AND published='1' LIMIT 1

135 (219.10667419434): SELECT name FROM jos_deeppockets WHERE id=216

136 (34.093856811523): SELECT name FROM jos_deeppockets WHERE id=216

137 (449.89585876465): SELECT *, DATE_FORMAT(publish_up,'%d %b %Y') AS date_publish_up, DATE_FORMAT(publish_down,'%d %b %Y') AS date_publish_down FROM jos_events WHERE state=1 AND publish_up > NOW() and extra_info REGEXP '((;)|(^))216((;)|($))' AND catid IN (0,110) ORDER BY publish_up ASC LIMIT 3

138 (369.07196044922): SELECT *, DATE_FORMAT(publish_up,'%d %b %Y') AS date_publish_up, DATE_FORMAT(publish_down,'%d %b %Y') AS date_publish_down FROM jos_events WHERE state=1 AND publish_up > NOW() and extra_info REGEXP '((;)|(^))216((;)|($))' AND catid IN (0,110) ORDER BY publish_up ASC LIMIT 3

139 (89.883804321289): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

140 (66.041946411133): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

141 (!!!!! 11677.026748657): TRUNCATE TABLE jos_trademed_module

142 (93.936920166016): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.cat=10 AND dp.id=294748254 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

143 (60.081481933594): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets_archive as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.cat=10 AND dp.id=294748254 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

144 (525.95138549805): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND (type='deeppockets_item' OR type='deeppockets_item_link') AND published='1' LIMIT 1

145 (66.041946411133): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND (type='deeppockets_item' OR type='deeppockets_item_link') AND published='1' LIMIT 1

146 (126.12342834473): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

147 (76.055526733398): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

148 (!!!!! 1507.043838501): SELECT jos_item.* FROM jos_item INNER JOIN jos_number ON jos_item.numberID=jos_number.id WHERE 1=1 AND (jos_item.imgMini<>'') AND jos_item.type='L' AND jos_item.numberID= ( SELECT jos_number.id FROM jos_number WHERE jos_number.journalID IN (10) and jos_number.id in (select distinct jos_number.id from jos_number join jos_item on jos_item.numberid=jos_number.id where jos_item.type='P') ORDER BY (CONVERT(SUBSTRING(issue,1,2),SIGNED) + (CONVERT(SUBSTRING(issue,3,2),SIGNED)*100)) DESC LIMIT 0,1 ) ORDER BY RAND() DESC LIMIT 6

149 (76.055526733398): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

150 (53.167343139648): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

151 (67.949295043945): SELECT fid FROM jos_deeppockets WHERE cat=10 AND id=294748254 AND type='deeppockets_item' AND published='1' union SELECT fid FROM jos_deeppockets_archive WHERE cat=10 AND id=294748254 AND type='deeppockets_item' AND published='1' LIMIT 1

152 (41.007995605469): select distinct links.* from jos_textlinks links join jos_textlinks_placement placement on links.id=placement.link_id where journal_id=(10) and (channel_id=216 or channel_id is null)

153 (34.093856811523): select distinct links.* from jos_textlinks links join jos_textlinks_placement placement on links.id=placement.link_id where journal_id=(10) and (channel_id=216 or channel_id is null)

154 (38.14697265625): SELECT livesite FROM jos_dp_categories WHERE id=10 AND published='1' LIMIT 1

155 (182.8670501709): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

156 (79.154968261719): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294748254 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294748254 AND published='1' LIMIT 1

157 (63.896179199219): select jos_twitters.link from jos_twitters where cat=10

158 (41.007995605469): select jos_facebook.link from jos_facebook where cat=10

159 (38.14697265625): select jos_google_plus.link from jos_google_plus where cat=10

160 (32.901763916016): select jos_linkedin.link from jos_linkedin where cat=10

161 (330.92498779297): update jos_bannersmanager_banner set impmade=impmade+1 where id in(14615,14202,14203)

162 (!!!!! 1541.8529510498): insert into jos_banners_delta values (14615,'2025-06-18 14:25:11','216.73.216.120','view'),(14202,'2025-06-18 14:25:11','216.73.216.120','view'),(14203,'2025-06-18 14:25:11','216.73.216.120','view')

Download Mobile App

Video Library

Clinical Software Effectively Categorizes Benign and Malignant Spots on Smokers’ Lung Scans

Latest Imaging IT News

Channels

Radiography

Novel Breast Imaging System Proves As Effective As Mammography

AI Assistance Improves Breast-Cancer Screening by Reducing False Positives

AI Could Boost Clinical Adoption of Chest DDR

3D Mammography Almost Halves Breast Cancer Incidence between Two Screening Tests

MRI

PET/MRI Improves Diagnostic Accuracy for Prostate Cancer Patients

Next Generation MR-Guided Focused Ultrasound Ushers In Future of Incisionless Neurosurgery

Two-Part MRI Scan Detects Prostate Cancer More Quickly without Compromising Diagnostic Quality

World’s Most Powerful MRI Machine Images Living Brain with Unrivaled Clarity

Ultrasound

Deep Learning Advances Super-Resolution Ultrasound Imaging

Novel Ultrasound-Launched Targeted Nanoparticle Eliminates Biofilm and Bacterial Infection

AI-Guided Ultrasound System Enables Rapid Assessments of DVT

Focused Ultrasound Technique Gets Quality Assurance Protocol

Nuclear Medicine

New SPECT/CT Technique Could Change Imaging Practices and Increase Patient Access

New Radiotheranostic System Detects and Treats Ovarian Cancer Noninvasively

AI System Automatically and Reliably Detects Cardiac Amyloidosis Using Scintigraphy Imaging

Early 30-Minute Dynamic FDG-PET Acquisition Could Halve Lung Scan Times

General/Advanced Imaging

New AI Method Captures Uncertainty in Medical Images

CT Coronary Angiography Reduces Need for Invasive Tests to Diagnose Coronary Artery Disease

Novel Blood Test Could Reduce Need for PET Imaging of Patients with Alzheimer’s

CT-Based Deep Learning Algorithm Accurately Differentiates Benign From Malignant Vertebral Fractures

Industry News

Bayer and Google Partner on New AI Product for Radiologists

Samsung and Bracco Enter Into New Diagnostic Ultrasound Technology Agreement

IBA Acquires Radcal to Expand Medical Imaging Quality Assurance Offering

International Societies Suggest Key Considerations for AI Radiology Tools

MedImaging

Channels

Features

Partner Sites

Archive:

Click for LinkXpress Reader Inquiry Service
Enter code to receive information:

Where I can find code?

LinkXpress

Download Mobile App

Video Library

Clinical Software Effectively Categorizes Benign and Malignant Spots on Smokers’ Lung Scans

Latest Imaging IT News

Channels

MedImaging

Channels

Features

Partner Sites

Archive: