Dr. James Ireland, Dr. Kedar Jambhekar, Linda Deloney, EdD

Residents/Fellows
6 Steps to Radiology: Part 2 -- The preapplication process
A new season has started for the Electronic Residency Application Service, and it's never too early to begin getting your ducks in a row. In our second 6 Steps to Radiology article, Dr. James Ireland, Dr. Kedar Jambhekar, and Linda Deloney, EdD, from the University of Arkansas for Medical Sciences offer some guidance.
August 16, 2018
2018 06 15 21 50 1414 Six Steps To Radiology Residency
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Two representative cases demonstrate the performance of PlaqueSegNet for coronary plaque segmentation. (A–D) Coronary CT angiography (CCTA) and intravascular US (IVUS) images in a 65-year-old male patient with chest pain for two months show plaque. (A) Cross-sectional IVUS image shows a lipid-rich plaque (hypoechoic, arrows). (B) Axial and (C) cross-sectional CCTA images show the same plaque (low-attenuation area, yellow line and arrows) in the proximal left anterior descending artery. (D) PlaqueSegNet segmentation of the noncalcified plaque (yellow shading) and coronary lumen (green shading) in the cross-sectional image. (E–G) CCTA images in a 57-year old female patient with chest pain for three months show multiple plaques. (E) Volume-rendered CCTA image of the coronary tree shows PlaqueSegNet plaque segmentation (yellow) in the right and left coronary arteries. (F, G) PlaqueSegNet segmentation delineates a mixed plaque (yellow shading) and coronary lumen (green shading) in the left main artery and proximal-to-mid left anterior descending artery.
CT
AI plus CCTA cuts plaque analysis time, predicts cardiac event risk
A deep-learning model quantifies coronary plaque volume from coronary CT angiography (CCTA) images.
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A 65-y-old man with HCC and liver cirrhosis confirmed by MRI. Ga-68 FAPI-46 PET/CT demonstrates increased focal uptake (SUVmax, 13.26, and TBRmax, 2.89) in liver, whereas F-18 FDG-PET/CT scans showed non–F-18 FDG-avid lesion (SUVmax, 3.24, and TBRmax, 1.43), indicated by solid arrows. Additionally, histologically proven adenocarcinoma in colon transversum was identified as pathologic with Ga-68 FAPI-46 alone (dashed arrows).
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Two representative cases demonstrate the performance of PlaqueSegNet for coronary plaque segmentation. (A–D) Coronary CT angiography (CCTA) and intravascular US (IVUS) images in a 65-year-old male patient with chest pain for two months show plaque. (A) Cross-sectional IVUS image shows a lipid-rich plaque (hypoechoic, arrows). (B) Axial and (C) cross-sectional CCTA images show the same plaque (low-attenuation area, yellow line and arrows) in the proximal left anterior descending artery. (D) PlaqueSegNet segmentation of the noncalcified plaque (yellow shading) and coronary lumen (green shading) in the cross-sectional image. (E–G) CCTA images in a 57-year old female patient with chest pain for three months show multiple plaques. (E) Volume-rendered CCTA image of the coronary tree shows PlaqueSegNet plaque segmentation (yellow) in the right and left coronary arteries. (F, G) PlaqueSegNet segmentation delineates a mixed plaque (yellow shading) and coronary lumen (green shading) in the left main artery and proximal-to-mid left anterior descending artery.
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