Eric Barnes

CT
AuntMinnie.com CT Insider
November 10, 2015
Breast
Breast density analysis IDs women needing more screening
Friday, December 4 | 11:30 a.m.-11:40 a.m. | SST01-07 | Room E450BIn this Friday session, Dutch investigators will present an automated way to identify women who most need supplemental breast cancer screening, based on breast density.
November 10, 2015
MRI
Texture analysis sorts out uterine findings at MRI
Thursday, December 3 | 11:50 a.m.-12:00 p.m. | SSQ10-09 | Room E450BWith the help of texture analysis, MRI can distinguish between two uterine findings that have traditionally been difficult to separate, a group from Memorial Sloan Kettering Cancer Center reports.
November 10, 2015
CT
Researchers model breast CT compression, deformation
Tuesday, December 1 | 11:30 a.m.-11:40 a.m. | SSG16-07 | Room S502ABResearchers are working toward automated lesion segmentation in breast image analysis, but targeting breast compression and localization is the first step -- and the subject of this presentation from the University of Michigan.
November 10, 2015
Advanced Visualization
3D printing revolutionizes breast cancer management
Sunday, November 29 | 1:00 p.m.-1:30 p.m. | IN104-ED-SUB8 | Lakeside Learning Center, Station 83D printing combined with volumetric analysis of breasts with 3D reconstruction is poised to completely reshape breast cancer care, according to this Sunday presentation.
November 10, 2015
Advanced Visualization
Road to RSNA 2015: Advanced Visualization Preview
RSNA 2015 is the culmination of a year of progress in advanced visualization, 3D, and computer-aided detection (CAD) technologies that shine a light on tasks that radiologists can now perform better, faster, and often more cheaply. Other hot topics at this year's conference include texture analysis, CT colonography, and 3D printing.
November 9, 2015
2014 11 03 11 22 44 485 Road To Rsna 200
Image Processing
Breast density analysis IDs women needing more screening
Friday, December 4 | 11:30 a.m.-11:40 a.m. | SST01-07 | Room E450BIn this Friday session, Dutch investigators will present an automated way to identify women who most need supplemental breast cancer screening, based on breast density.
November 9, 2015
Image Processing
Texture analysis sorts out uterine findings at MRI
Thursday, December 3 | 11:50 a.m.-12:00 p.m. | SSQ10-09 | Room E450BWith the help of texture analysis, MRI can distinguish between two uterine findings that have traditionally been difficult to separate, a group from Memorial Sloan Kettering Cancer Center reports.
November 9, 2015
Image Processing
Liver volume at CT predicts outcome for liver disease
Thursday, December 3 | 11:20 a.m.-11:30 a.m. | SSQ06-06 | Room E350A new study from France has found that liver volume at CT predicted clinical outcomes in patients with decompensated alcoholic steatohepatitis.
November 9, 2015
AI
CAD automates calcium scoring in CT lung cancer screening
Thursday, December 3 | 11:00 a.m.-11:10 a.m. | SSQ20-04 | Room S404ABIn an international tour de force on computer-aided detection (CAD), Dutch researchers took an automated calcium scoring algorithm designed for a European lung cancer screening study and applied it to a Canadian screening study.
November 9, 2015
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Digital X-Ray
Chest x-rays reveal atherosclerosis in patients undergoing amputations
Lower limb amputation is an increasingly common major complication of advanced peripheral arterial disease and diabetes mellitus.
Cardiac Mri Adobe Samunella
MRI
3D MRI technique helps plan treatment for pediatric heart conditions
Images of a 39-year-old who underwent screening mammography. Right craniocaudal (left) and mediolateral oblique (middle) views from preoperative mammography show suspicious grouped fine pleomorphic calcifications (arrows). After biopsy showed ductal carcinoma of situ (DCIS), patient underwent breast-conserving surgery, yielding final diagnosis of ductal carcinoma in situ (intermediate grade, hormone receptor positive). (Right) Screenshot of an output of a commercial AI tool applied to preoperative mammography. AI detected right breast lesion with score of 95% on both views (concentric colored circles). Present study’s reviewing radiologist deemed AI marking to correspond with site of DCIS.
Womens Imaging
Could AI scoring help with managing DCIS?
Axial contrast-enhanced CT scan in a 28-year-old premenopausal woman shows an incidentally detected solid-appearing left ovarian lesion (solid arrow) anterior to the uterus (U), associated with trace ascites in the right adnexa and cul de sac (dashed arrows). At pathologic analysis, this was shown to be ovarian dysgerminoma. Two readers misdiagnosed this lesion, one as a leiomyoma and one as an ovarian fibroma.
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