News
AuntMinnie Headlines
- Telix acquires assets targeting FAP in nuclear medicineby AuntMinnie.com staff writers on November 20, 2024 at 8:00 am
Telix Pharmaceuticals is expanding its theranostic pipeline with newly acquired assets targeting FAP in nuclear medicine.
- Russian researchers highlight fetal ultrasound training phantomby AuntMinnie.com staff writers on November 20, 2024 at 8:00 am
The Moscow Healthcare Department is highlighting a fetal ultrasound phantom that aims to help sonographers-in-training.
- Nomogram model predicts malignancy risk in ovarian massesby Amerigo Allegretto on November 19, 2024 at 10:44 am
A nomogram model based on O-RADS ultrasound findings and clinical and lab indicators can predict malignancy risk in adnexal cystic-solid...
- Trump to nominate Mehmet Oz, MD, to run CMSon November 19, 2024 at 10:32 am
U.S. President-elect Donald Trump plans to nominate Mehmet Oz, MD as head of the U.S. Centers for Medicare and Medicaid Services...
- PET links chronic stress to aggressive endometrial cancerby Will Morton on November 19, 2024 at 10:13 am
Brain activity related to chronic stress may be associated with the aggressiveness of tumors in women with endometrial cancer.
JACR News
- Office-Based Diagnostic Imaging Interpreted by Nonphysician Practitioners: Characteristics, Recent Trends, and State Variationby Eric W. Christensen, Clinton T. Case, Robert W. Morris, Casey E. Pelzl, Elizabeth Y. Rula, Richard Duszak on November 20, 2024 at 12:00 am
Diagnostic imaging interpretations by nonphysician practitioners (NPPs) are increasing. With hospital-based imaging overwhelmingly interpreted by radiologists, we studied office-based interpretations by NPPs by their physician employer specialty.
- Re-evaluating endometrial thickness in symptomatic postmenopausal patients for excluding cancer: Systematic review and meta-analysisby Ryan K.W. Chee, Reshma M. Koshy, Jordan Haidey, Mohammad H. Murad, Gavin Low, Mitchell P. Wilson on November 18, 2024 at 12:00 am
The current ACR and ACOG guidelines recommend a ≤4 mm endometrial thickness threshold for excluding endometrial cancer in symptomatic postmenopausal patients. This systematic review and meta-analysis aims to re-evaluate the optimal endometrial thickness threshold on imaging for excluding cancer in symptomatic postmenopausal patients.
- Impact of Deep Learning-Based Computer-Aided Detection and Electronic Notification System for Pneumothorax on Time to Treatment: Clinical Implementationby Si Nae Oh, Hyungkook Yang, Chun Kyon Lee, Sang-Hoon Park, Chang-Hoon Han, Ho Heo, Young Sung Kim on November 18, 2024 at 12:00 am
To assess whether the implementation of deep learning (DL) computer-aided detection (CAD) that screens for suspected pneumothorax (PTX) on chest radiography (CXR) combined with an electronic notification system (ENS) that simultaneously alerts both the radiologist and the referring clinician would affect time to treatment (TTT) in a real-world clinical practice.
- Incidental Detection of Previously Unknown Strokes on Head CT Examinations: An Untapped Opportunity for Secondary Preventionby Carys L. Kenny-Howell, Irene Dixe de Oliveira Santo, Charles Wira, Adam de Havenon, Long H. Tu on November 18, 2024 at 12:00 am
The incidental discovery of previously unknown strokes on neuroimaging is an opportunity to implement secondary prevention, reducing the risk of recurrent strokes by up to 80%.
- Multi-institutional Evaluation and Training of Breast Density Classification AI Algorithm Using ACR Connect and AI-LABby Laura Brink, Ricardo Amaya Romero, Laura Coombs, Mike Tilkin, Sina Mazaheri, Judy Gichoya, Zachary Zaiman, Hari Trivedi, Adam Medina, Bernardo C. Bizzo, Ken Chang, Jayashree Kalpathy-Cramer, Mannudeep K. Kalra, Bruno Astuto, Carolina Ramirez, Sharmila Majumdar, Amie Y. Lee, Christoph I. Lee, Nathan M. Cross, Po-Hao Chen, Michael Ciancibello, Allan Chiunda, Douglas Nachand, Chintan Shah, Christoph Wald on November 15, 2024 at 12:00 am
To demonstrate and test the capabilities of the American College of Radiology (ACR) Connect and AI-LAB software platform by implementing multi-institutional artificial intelligence (AI) training and validation for breast density classification.