AJR Podcasts

Latest Episodes:

Navigating Dizziness in the ER: Decoding the Cost-Effectiveness of Different Neuroimaging Modalities Dec 11, 2023

Show notes

Full article: https://www.ajronline.org/doi/10.2214/AJR.23.30060

Shruti Kumar, MD discusses a study that investigates the optimal neuroimaging approaches for patients with dizziness in the emergency department. It explores how specialized MRI emerges as the most cost-effective strategy, offering enhanced stroke detection and improving long-term outcomes and preventive measures.

Decoding Skeletal Muscle Area and Index on CT: Refining Height Scaling Standards for Enhanced Mortality Risk Prediction Dec 11, 2023

Show notes

Full article: https://www.ajronline.org/doi/10.2214/AJR.23.29889

This podcast from George Vilanilam, MD focusses on sarcopenia and its assessment using CT scans. Sarcopenia is often assessed using the Skeletal Muscle Index (SMI), which is calculated by dividing the Skeletal Muscle Area (SMA) at the third lumbar vertebra (L3) by the patient's height squared. However, this study aimed to determine whether there's a more accurate way to scale muscle area relative to patient height and to explore how this might affect the ability of SMI to predict all-cause mortality.

Adrenal Mass Biopsy - Should We Perform it in Patients Without Extra-Adrenal Primary Malignancy? Nov 27, 2023

Show notes

Full article: https://www.ajronline.org/doi/10.2214/AJR.23.29826

Hong Linda Li, MD discusses a new article that examines the need for a comprehensive approach that integrates clinical, radiological, and histopathological data for accurate diagnosis and management of adrenal masses.

AI for Timely Detection of Improper Tracheal Tube Placement: Where AI Can Readily Save Lives Nov 14, 2023

Show notes

Full article: https://www.ajronline.org/doi/10.2214/AJR.23.29769

In this podcast, Bahram Mohajer, MD, MPH introduces a study on AI's role in assessing endotracheal tube positions on chest radiographs. The study demonstrates high sensitivity and specificity in identifying tube presence and positioning, especially in critical cases. The AI system's potential to expedite detection and reduce delays in repositioning is highlighted. While the study's strengths include a large sample size and multi-institutional data, the author acknowledges limitations such as the retrospective design and lack of clinical outcome data. The podcast concludes by emphasizing the promising impact of AI on radiologists' efficiency and patient safety, with the need for further validation and integration into diverse healthcare settings.

Cracking the Code: Nasopharyngeal Carcinoma and Lymph Node Involvement Oct 26, 2023

Show notes

Full article: https://ajronline.org/doi/10.2214/AJR.23.29984

Robbie Hill, MD discusses an article in which the authors derive an optimal size threshold for determining retropharyngeal lymph node involvement in nasopharyngeal carcinoma (NPC) based on outcome predictions. The authors show that the optimally derived threshold of 6mm provides better outcome predictions and may lead to improved treatment decision-making for patients with NPC.

Do PIRADS 2.0 and PIRADS 2.1 Perform Differently in Predicting Gleason Grade Upgrades and Downgrade Rates? Oct 26, 2023

Show notes

Full article: https://www.ajronline.org/doi/10.2214/AJR.23.29964

Xiao Xiao Tong, MD discusses an original research article that focuses on the pathological correlation of MRI scoring systems. The upgrade and downgrade rates from targeted biopsy to radical prostatectomy were not significantly different between patients whose MRI examinations were clinically interpreted using PI-RADS v2.0 or v2.1. Additional and alternative biopsy techniques with different accuracy rates should be considered in future research to implement the correlation between imaging findings and histology.

More Proof That Photon-Counting Detector CT Will Replace Conventional CT: Original Research in Lumbar Spine CT Oct 05, 2023

Show notes

Full article: https://www.ajronline.org/doi/10.2214/AJR.23.29950

In this episode, Alessandro Micelli, MD discusses an article detailing the advantages that photon-counting detector (PCD) CT can give in the setting of lumbar spine CT, specifically in terms of better CNR and lower radiation dose exposure. This original research study represents first steps in the PCD CT era and will be useful to guide future studies to establish a standard protocol for specific indications of lumbar spine examinations.

The Radiologist's Role Regarding Retained Biopsy Site Markers Following Breast Lesion Resection Sep 25, 2023

Show notes

Full article: https://www.ajronline.org/doi/10.2214/AJR.23.29670

Sid Dogra, MD discusses an AJR article in which the authors show that retained biopsy site markers following resection of breast lesions increases risk of residual malignancy, particularly in patients whose initial pathology suggested malignancy. Radiologists can improve patient care by more explicitly noting missing biopsy site markers and recommending early postoperative mammogram on initial intraoperative specimen radiographs.

Comparing Breast Cancer Screening Approaches in Dense Breasts, Exploring the Role of Mammography, Artificial Intelligence, and Ultrasound Sep 13, 2023

Show notes

Full article: https://www.ajronline.org/doi/10.2214/AJR.23.29655

Shruti Kumar, MD discusses an AJR study that compares the performance of mammography alone, standalone artificial intelligence (AI), ultrasound alone, and a combination of these methods in a sample of 1,325 women. The study suggests that adding AI to mammography and ultrasound does not provide significant benefit in cancer detection rates in patients with dense breasts. However, the study's limitations, including single-institution data and specific AI platform, must be considered before generalizing the results.

Automated Abdominal Adipose Tissue Mapping in Adolescents: Deep Learning Meets MRI Sep 13, 2023

Show notes

Full article: https://www.ajronline.org/doi/10.2214/ajr.23.29570

Childhood obesity is a growing epidemic globally. Precisely quantifying abdominal fat distribution on MRI could be valuable for research and clinical care, but manual segmentation is extremely tedious. Farzaneh Ghazi Sherbaf, MD discusses a recent study in which the authors developed and validated an AI method to automatically segment subcutaneous and visceral abdominal fat on MRI in adolescents. The work has implications for making obesity research and care more effective through automated, personalized abdominal fat mapping.

Our TOPPODCAST Picks

Follow Us

Stay Connected

Related Podcasts

Links

Stay Connected