Dr. Hooman Noorchashm, PhD

Ultrasound
Why we need a BI-RADS-like system for uterine tumors
Does radiology need a scoring system like BI-RADS for tracking uterine tumors? In this Second Opinion article, Dr. Hooman Noorchashm, PhD, proposes just such a system, which he believes is necessary after a painful personal experience: the death of his wife, Dr. Amy Josephine Reed, from a uterine soft-tissue sarcoma.
February 3, 2019
2016 10 11 13 31 21 852 Am Second Opinion 400
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CT
Deep learning helps find, segment lung tumors on CT imaging
Using a deep-learning model with lung CT imaging shows promise for identifying and segmenting tumors, researchers have reported.
Stroke Evt
Interventional
EVT promising in patients with extracranial ICA occlusions
Images depict a 49-year-old female participant with cryptogenic cirrhosis who presented with a 3.2-cm liver lesion. This biopsy-confirmed hepatocellular carcinoma (HCC) with an initial categorization of Liver Imaging Reporting and Data System (LI-RADS) category LR-4 (probably HCC) at CT was upgraded to LR-5 (definitely HCC) at contrast-enhanced ultrasound (CEUS). (A) Precontrast CT images in the liver show vague hypoattenuation in the medial left hepatic lobe (arrows). (B) Arterial phase images demonstrate no definite arterial phase hyperenhancement (arrows). (C) Washout and an enhancing capsule (arrows) on a late-phase image resulted in an LR-4 categorization. (D) B-mode ultrasound shows a round hypoechoic nodule (arrows). (E) An early-phase CEUS image shows clear arterial-phase hyperenhancement (arrows); (F) No washout at one minute (arrows), and (G) late, mild washout at four minutes (arrows) resulted in a CEUS LR-5 categorization.
Ultrasound
CEUS resolves indeterminate CT, MRI liver observations
Ctca
Molecular Imaging
PET/CT can rule out CAV in heart transplant patients
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CT
Machine learning can predict immunotherapy response in NSCLC patients
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