Deferral of eGFR testing prior to contrast enhanced CT in low-risk ED patients: assessment of safety and impact on throughput
To assess the safety and utility of deferring eGFR testing prior to contrast enhanced CT (CECT) in low-risk Emergency Department (ED) patients. (Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - November 5, 2023 Category: Radiology Authors: Gowthaman Gunabushanam, Daniella Asch, Janelle van Luling, Alexander Kuehne, Abedalrazaq Alkukhun, Lawrence Staib, Arjun Venkatesh, Jay Kumar Pahade Source Type: research

Appropriateness Criteria Relative Radiation Levels: What They Mean for You
(Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - November 2, 2023 Category: Radiology Authors: David W. Jordan, Loretta M. Johnson, Diana E. Litmanovich, Beth A. Schueler Source Type: research

Best practices for artificial intelligence and machine learning for computer-aided diagnosis in medical imaging
The American Association of Physicists in Medicine (AAPM) Task Group (TG) 273 has been charged with developing recommendations on best practices for the development and performance assessment of computer-aided decision support systems. The TG report [1] addresses broad issues common to the development of most, if not all, CAD-AI applications and their translation from the bench to the clinic. The goal was to bring attention to issues such as proper data collection and training and validation methods for ML algorithms, aiming to improve generalizability and reliability and thus accelerate the adoption of CAD-AI systems for ...
Source: Journal of the American College of Radiology : JACR - November 2, 2023 Category: Radiology Authors: Daniel Vergara, Samuel G. Armato, Lubomir Hadjiiski, Karen Drukker Source Type: research

No Surprises Act: Legal Challenges and Implications for Radiology
When the word “surprise” is used as a noun, it generally describes an unexpected event. When “surprise” is used in conjunction with “billing,” it conjures up concerns with which even the most hardened backroom medical administrator can empathize. One’s first reaction is likely patient-based—that a person received medical services from a health care provider or facility that resulted in charges greater than anticipated based on in-network rates. As a result, the bill for services incorporates that, no doubt unpleasant, surprise. (Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - November 1, 2023 Category: Radiology Authors: Joshua A. Hirsch, Karen Buch, Kathryn Keysor, William A. Mehan, James M. Milburn Tags: Review Source Type: research

Predictors for Early Liver Cancer Survival After Ablation and Surgical Resection: A Surveillance, Epidemiology, and End Results Program-Medicare Study
To identify independent predictors of all-cause and cancer-specific mortality after ablation or surgical resection (SR) for small hepatocellular carcinomas (HCCs), after adjusting for key confounders. (Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - November 1, 2023 Category: Radiology Authors: Resmi A. Charalel, Alvin I. Mushlin, Xinyan Zheng, Jialin Mao, Ruth Carlos, Robert S. Brown, Brett E. Fortune, Adam D. Talenfeld, David C. Madoff, Said Ibrahim, Matthew S. Johnson, Art Sedrakyan Tags: Original Article Source Type: research

Transforming Radiology With AI Visual Chatbot
The article by Goktas and Agildere recognizes the potential benefits of artificial intelligence (AI) visual chatbots in radiology, such as increased efficiency, decreased workload, and improved patient care [1]. It stresses chatbots ’ capacity to assist radiologists with activities such as image interpretation, report preparation, and decision assistance. The authors also acknowledge the technology’s hurdles and limits, such as issues about accuracy, reliability, ethical considerations, and the need for sufficient training and oversight. (Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - November 1, 2023 Category: Radiology Authors: Hinpetch Daungsupawong, Viroj Wiwanitkit Tags: Letter to the Editor Source Type: research

An Interuniversity Competition for Medical Students to Learn Radiology in the Second Life Metaverse
The aim of this study was to evaluate an interuniversity competition online to learn radiology held in a 3-D virtual world, the Second Life metaverse, by analyzing the results of the game and students ’ perceptions. (Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - November 1, 2023 Category: Radiology Authors: Teodoro Rudolphi-Solero, Roc ío Lorenzo-Álvarez, Dolores Domínguez-Pinos, Miguel José Ruiz-Gómez, Francisco Sendra-Portero Tags: Original Article Source Type: research

Future Potential Challenges of Using Large Language Models Like ChatGPT in  Daily Medical Practice
Large language models (LLMs) are artificial intelligence (AI) systems trained on large amounts of words from various articles and Internet-based content [1]. Through continuous training, LLMs learn how words and patterns are used in a natural way, similar to how humans choose their words [1]. A recent example of a very popular LLM application is Chat Generative Pre-trained Transformer (ChatGBT). The chatbot was introduced in 2022 and soon after attracted masses of users and scientists [2]. Although with the introduction of ChatGPT, people worldwide realized that the AI revolution could be nearer than expected, many challen...
Source: Journal of the American College of Radiology : JACR - November 1, 2023 Category: Radiology Authors: Sam Sedaghat Tags: Opinion Source Type: research

Wait —Everyone Can See My wRVUs Now?
The chief of your practice and/or division wants to place an emphasis on productivity and report to all members the number of cases and work relative value units (wRVUs) read in a way that would be visible to all. How do you feel about this? (Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - November 1, 2023 Category: Radiology Authors: Jennifer Nathan, Frank Lexa, Elizabeth Bergey, Melissa M. Chen, Scott Truhlar, Ian Weissman Tags: Devilish Dilemma Source Type: research

The Importance of Outcomes Ascertainment for Accurate Assessment of the Mammography Screening Cancer Detection Rate: A Simulation Study
Cancer detection rate (CDR), an important metric in the mammography screening audit, is designed to ensure adequate sensitivity. Most practices use biopsy results as the reference standard; however, commonly ascertainment of biopsy results is incomplete. We used simulation to determine the relationship between the cancer ascertainment rate of biopsy (AR-biopsy), CDR estimation, and associated error rates in classifying whether practices and radiologists meet the established ACR benchmark of 2.5 per 1,000. (Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - November 1, 2023 Category: Radiology Authors: Elizabeth S. Burnside, Michael R. Lasarev, Brian L. Sprague, Diana L. Miglioretti, Roxana A. Alexandridis, Janie M. Lee, Etta D. Pisano, Robert A. Smith Tags: Original Article Source Type: research

“Transforming Radiology With AI Visual Chatbot”: Correspondence
We follow the topic on “Transforming Radiology With AI Visual Chatbot: A Balanced Perspective” [1]. The article recognizes the potential benefits of artificial intelligence (AI) visual chatbots in radiology, such as increased efficiency, decreased workload, and improved patient care. It stresses chatbots’ capacity t o assist radiologists with activities such as image interpretation, report preparation, and decision assistance. The authors also acknowledge the technology’s hurdles and limits, such as issues about accuracy, reliability, ethical considerations, and the need for sufficient training and oversight. (Sour...
Source: Journal of the American College of Radiology : JACR - November 1, 2023 Category: Radiology Authors: Hinpetch Daungsupawong, Viroj Wiwanitkit Tags: Letter to the Editor Source Type: research

ACR Appropriateness Criteria ® Tinnitus: 2023 Update
Tinnitus is abnormal perception of sound and has many subtypes. Clinical evaluation, audiometry, and otoscopy should be performed before ordering any imaging, as the choice of imaging will depend on various factors. Type of tinnitus (pulsatile or nonpulsatile) and otoscopy findings of a vascular retrotympanic lesion are key determinants to guide the choice of imaging studies. High-resolution CT temporal bone is an excellent tool to detect glomus tumors, abnormal course of vessels, and some other abnormalities when a vascular retrotympanic lesion is seen on otoscopy. (Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - November 1, 2023 Category: Radiology Authors: Expert Panel on Neurological Imaging, Vikas Jain, Bruno Policeni, Amy F. Juliano, Oliver Adunka, Mohit Agarwal, Prachi Dubey, Elliott R. Friedman, Maria K. Gule-Monroe, Mari Hagiwara, Christopher H. Hunt, Bruce M. Lo, Esther S. Oh, Tanya J. Rath, J. Kirk Tags: Appropriate Use Criteria Source Type: research

ACR Appropriateness Criteria ® Sudden Onset of Cold, Painful Leg: 2023 Update
The objectives of initial imaging include confirmation of diagnosis, identifying the location and extent of vascular occlusion, and preprocedural/presurgical planning. (Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - November 1, 2023 Category: Radiology Authors: Expert Panel on Vascular Imaging, William F. Browne, Jeffrey Sung, Bill S. Majdalany, Minhaj S. Khaja, Keith Calligaro, Benjamin N. Contrella, Maros Ferencik, Andrew J. Gunn, Baljendra S. Kapoor, Nicole A. Keefe, Nima Kokabi, Christopher M. Kramer, Richar Tags: Appropriate Use Criteria Source Type: research

ACR Appropriateness Criteria ® Staging and Post-Therapy Assessment of Head and Neck Cancer
Imaging of head and neck cancer at initial staging and as part of post-treatment surveillance is a key component of patient care as it guides treatment strategy and aids determination of prognosis. Head and neck cancer includes a heterogenous group of malignancies encompassing several anatomic sites and histologies, with squamous cell carcinoma the most common. Together this comprises the seventh most common cancer worldwide. At initial staging comprehensive imaging delineating the anatomic extent of the primary site, while also assessing the nodal involvement of the neck is necessary. (Source: Journal of the American Coll...
Source: Journal of the American College of Radiology : JACR - November 1, 2023 Category: Radiology Authors: Expert Panel on Neurological Imaging, Maria K. Gule-Monroe, Susana Calle, Bruno Policeni, Amy F. Juliano, Mohit Agarwal, Laura Q.M. Chow, Prachi Dubey, Elliott R. Friedman, Mari Hagiwara, Kate DuChene Hanrahan, Vikas Jain, Tanya J. Rath, Russell B. Smith, Tags: Appropriate Use Criteria Source Type: research

ACR Appropriateness Criteria ® Pulsatile Abdominal Mass, Suspected Abdominal Aortic Aneurysm: 2023 Update
Abdominal aortic aneurysm (AAA) is defined as abnormal dilation of the infrarenal abdominal aortic diameter to 3.0 cm or greater. The natural history of AAA consists of progressive expansion and potential rupture. Although most AAAs are clinically silent, a pulsatile abdominal mass identified on physical examination may indicate the presence of an AAA. When an AAA is suspected, an imaging study is essential to confirm the diagnosis. This document reviews the relative appropriateness of various imaging procedures for the initial evaluation of suspected AAA. (Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - November 1, 2023 Category: Radiology Authors: Expert Panel on Vascular Imaging, David S. Wang, Jody Shen, Bill S. Majdalany, Minhaj S. Khaja, Salman Bhatti, Maros Ferencik, Suvranu Ganguli, Andrew J. Gunn, John F. Heitner, Amer M. Johri, Piotr Obara, Robert Ohle, Mehran M. Sadeghi, Marc Schermerhorn, Tags: Appropriate Use Criteria Source Type: research