Thoracic Imaging: Page 40

PET features help guide dose escalation
By Cynthia E. Keen
Quantitative imaging features (QIFs) from FDG-PET combined with conventional prognostic factors of patients with non-small cell lung cancer (NSCLC) show potential to enhance overall survival risk stratification. That's the conclusion of study findings published in the Red Journal and Radiology.
December 17, 2015
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Lung CT screening pilot has good detection rate of early cancers
By Frances Rylands-Monk
Low-dose CT has proved to be pivotal in the early detection of lung cancer in a groundbreaking U.K. lung cancer screening pilot project that aimed to discover if CT was a viable cost-effective option. The findings were published online by BMJ on 8 December.
December 15, 2015
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Automated CAC fares well in CT lung screening scans
By Eric Barnes
Automated coronary artery calcium (CAC) scoring is robust and accurate when applied to lung cancer screening exams -- even when applied to a different population than the algorithm was designed for, according to results presented at RSNA 2015 in Chicago.
December 9, 2015
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Tomosynthesis boosts accuracy in cancer cases
By Philip Ward
Digital tomosynthesis can improve the diagnostic accuracy and confidence of chest radiography in oncologic patients with suspected pulmonary lesions, and it allows CT to be skipped in about 50% of cases, Italian researchers found in a study published online on 1 December by European Radiology.
December 6, 2015
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Tomo-CAD combo targets lung cancer screening
By Brian Casey
What if you had a lung cancer screening modality that was better than x-ray and nearly as good as CT, but with less radiation and expense? Researchers from Hungary are investigating the idea with a digital tomosynthesis system that they assembled themselves, along with homegrown computer-aided detection (CAD) software.
November 24, 2015
2015 11 24 12 07 53 458 Hungarian Flag 200
Lung MRI rivals CT in complex pneumonia
By Philip Ward
MRI is accurate for detecting problems in children with lower airway tract infection and can pinpoint the dynamics of morphologic changes during treatment, and soon it may replace CT in cases of complicated pneumonia, according to award-winning German research.
November 2, 2015
2015 11 02 13 36 09 530 Lung And Body 200
CAD systems compared: What you should look for
By Frances Rylands-Monk
A Dutch study suggests the best computer-aided detection (CAD) system can detect most pulmonary nodules at a low false-positive rate and find additional lesions missed by human readers, but awareness of the varying reliability of different CAD algorithms is crucial.
October 25, 2015
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Get savvy on neonatal chest x-rays
By Philip Ward
It's time to brush up your knowledge of neonatal chest x-rays, and doing so will have a positive impact on patient management. That's the view of radiologists who presented their experiences at the 2015 annual meeting of the European Society of Thoracic Imaging, held in Barcelona, Spain.
October 20, 2015
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ESTI award goes to CT study of severe emphysema
By Philip Ward
CT can detect changes accurately in regional lung volume after bronchoscopic volume reduction using a synthetic polymer sealant, according to prize-winning research presented at the 2015 annual meeting of the European Society of Thoracic Imaging (ESTI), held in Barcelona, Spain.
September 30, 2015
2013 07 08 12 09 51 69 Sagrada Familia 200
Lung cancer surgery patients live longer with CT follow-up
By Eric Barnes
Patients with recurrent lung cancer live longer after surgery if their management includes CT follow-up, concludes a new Danish study presented on 27 September at the European Respiratory Society conference in Amsterdam.
September 27, 2015
Advanced image processing boosts neck tumor assessment
By Eric Barnes
Which image postprocessing techniques are best for evaluating tumors of the trachea and bronchus? Multiplanar reformations, volume rendering, and virtual bronchoscopy each have their roles, concludes a new study in PLOS One.
September 24, 2015
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CAD picks patients with TB drug resistance
By Eric Barnes
Researchers in Belarus have developed a computer-aided diagnosis (CAD) scheme that can fairly accurately predict drug resistance in tuberculosis (TB) patients. The results show that the prediction tool could potentially improve triage and care of TB patients.
August 23, 2015
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