Chest Radiology: Page 158

Educating radiologists about CTPA doesn't reduce overuse rates
By Kate Madden Yee
Monday, November 29 | 3:10 p.m.-3:20 p.m. | SSE12-02 | Room S102DIn this scientific session, Michigan researchers will discuss how educating radiologists about workup guidelines for suspected pulmonary embolus doesn't necessarily curb overutilization rates for CT pulmonary angiography (CTPA) in the emergency room.
November 16, 2010
FDG-PET/CT contributes to the diagnosis of tuberculosis-induced inflammation
By Wayne Forrest
Thursday, December 2 | 11:20 a.m.-11:30 a.m. | SSQ15-06 | Room S505ABGerman researchers have found that FDG-PET/CT may contribute to the diagnosis of tuberculosis-induced intraocular inflammation, especially in the case of latent and asymptomatic infection.
November 15, 2010
Visual search patterns of volumetric datasets may reveal much
By Erik L. Ridley
Thursday, December 2 | 11:20 a.m.-11:30 a.m. | SSQ10-06 | Room S402ABResearchers from Stanford University in Stanford, CA, will share their work in this Thursday session on investigating the perceptual capabilities of the human visual system in relation to medical images.
November 14, 2010
Concurrent use of CAD fares well in low-dose CT
By Erik L. Ridley
Wednesday, December 1 | 10:40 a.m.-10:50 a.m. | SSK05-02 | Room S404CDWhat are the effects of running a computer-aided detection (CAD) algorithm concurrently during the reading process for low-dose CT studies? A group from Kobe University in Japan sought answers in this study.
November 14, 2010
Bone suppression bolsters detection of pneumonia
By Erik L. Ridley
Monday, November 29 | 3:10 p.m.-3:20 p.m. | SSE06-02 | Room S404CDIn another paper presentation from the University of Chicago, researchers will highlight the value of bone suppression imaging for improving detection of pneumonia on chest x-rays.
November 14, 2010
Chest x-ray CAD scheme suppresses ribs to improve results
By Erik L. Ridley
Monday, November 29 | 3:00 p.m.-3:10 p.m. | SSE06-01 | Room S404CDResearchers from the University of Chicago were able to improve the sensitivity of computer-aided detection (CAD) in detecting lung nodules -- presenter Sheng Chen will share their results in this Monday afternoon session.
November 14, 2010
iPhone provides high image quality, but low speed
By Erik L. Ridley
Monday, November 29 | 11:50 a.m.-12:00 p.m. | SSC08-09 | Room S402ABA research team from Massachusetts General Hospital in Boston found both advantages and disadvantages to using an iPhone for preliminary diagnosis of chest CT pulmonary embolism studies.
November 14, 2010
Research weighs iPad clinical utility
By Erik L. Ridley
Monday, November 29 | 11:30 a.m.-11:40 a.m. | SSC08-07 | Room S402ABIn this scientific paper presentation, a study team from the University of Maryland in Baltimore will describe how the iPad fared when used to evaluate a screening chest x-ray for tuberculosis.
November 14, 2010
Algorithm can automatically detect abnormal lung volumes
By Erik L. Ridley
Sunday, November 28 | 11:45 a.m.-11:55 a.m. | SSA19-07 | Room S403BIn this paper presentation, researchers will provide details on a computerized method for identifying abnormal lung volumes from interstitial lung disease.
November 14, 2010
CAD may help detect pulmonary embolism
By Erik L. Ridley
Sunday, November 28 | 11:25 a.m.-11:35 a.m. | SSA19-05 | Room S403BA research team from the University of Michigan in Ann Arbor will share developments with its computer-aided detection (CAD) algorithm for detecting pulmonary embolism on CT pulmonary angiography.
November 14, 2010
CAD offers potential in detecting tuberculosis
By Erik L. Ridley
Sunday, November 28 | 11:15 a.m.-11:25 a.m. | SSA19-04 | Room S403BA Dutch research group will share promising initial results from using prototype computer-aided detection (CAD) software to identify tuberculosis on chest x-ray images in this Sunday morning session.
November 14, 2010
ASIR may bolster CAD performance in lung nodules
By Erik L. Ridley
Sunday, November 28 | 11:05 a.m.-11:15 a.m. | SSA19-03 | Room S403BIn this scientific session, a team from Osaka University Medical School in Japan will present data detailing the benefits of adaptive statistical iterative reconstruction (ASIR) technology for computer-aided detection (CAD) of lung nodules.
November 14, 2010
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