Full article: https://www.ajronline.org/doi/10.2214/ajr.23.29674

Peter Gunderman, MD discusses a recent study that finds artificial intelligence can accurately predict the pathology of pure ground glass nodules, at least in the subset of nodules representing variants of adenocarcinoma.

Full article: https://www.ajronline.org/doi/abs/10.2214/AJR.23.29609

Hong Linda Li, MD discusses a new AJR article that details how preoperative MRI-based staging can predict biochemical recurrence of prostate cancer after radical prostatectomy as effectively as post-surgical pathologic staging.

Full article: https://www.ajronline.org/doi/10.2214/AJR.23.29414

Shambo Guha Roy, MD discusses an article in which the authors developed a deep learning model to predict 30-day mortality of community acquired pneumonia from chest radiographs.

Full article: https://www.ajronline.org/doi/10.2214/AJR.23.29340

Wenhui Zhou, MD, PhD reviews a recent AJR article that explored the feasibility of pulmonary MRA for evaluating pulmonary embolism during a contrast media shortage in 2022. The results of this study highlight the value of pulmonary MRA as a practical alternative to pulmonary CTA, especially in emergency settings.

Full article: https://www.ajronline.org/doi/10.2214/AJR.23.29285

Leo Jia, MD discusses a new AJR article that finds radiologic evidence of unambiguous extranodal extension of lymph node metastases may have a role in the initial staging evaluation of patients diagnosed with non-small cell lung cancer.

Full article: https://www.ajronline.org/doi/abs/10.2214/AJR.23.29151

Rachana Borkar, MBBS discusses a study shows high negative predictive value for clear cell renal cell carcinoma. The score could impact clinical decisions in patients by guiding risk stratification and patient selection for active surveillance through identification of patients unlikely to have clear cell renal cell carcinoma.

Full article: https://www.ajronline.org/doi/abs/10.2214/AJR.23.29120

With the exponential rise of AI, and with radiology being at the forefront of this revolution, this article breaks the model by taking a unique approach in performing experimental and validation studies using natural language processing modules and focusing on recommendations for additional imaging alone. Aruj Chawla, DO discusses a new study that details the utility and limitations of current applications.

Full article: https://www.ajronline.org/doi/10.2214/AJR.23.29352

Transient ischemic attacks (TIAs) are very common in the United States, and prompt diagnosis of TIAs is important as they are associated with an increased risk of subsequent stroke. Jesi Kim, MD provides a discussion and critical analysis of an important article that demonstrates increased odds of subsequent stroke in patients who had incomplete neurovascular imaging after an emergency department encounter for TIA.

Full article: https://www.ajronline.org/doi/abs/10.2214/AJR.23.29139

Most patients with cancer will undergo multiple contrast-enhanced CT examinations in the diagnosis and treatment on malignancy, raising concern for contrast-associated renal injury for often medically complex patients. Juliet Alla, MD discusses an article that seeks to develop and validate a model to predict the risk of contrast-associated acute kidney injury in patients with cancer. We discuss the implications kidney injury risk stratification for the imaging care of patients with cancer.

Full article: https://www.ajronline.org/doi/abs/10.2214/AJR.23.29002

Mohanned Alnammi, MD discusses a study that assessed the frequency of mucinous degeneration following neoadjuvant therapy and to compare outcomes among patients with nonmucinous, mucinous tumors, and those with mucinous degeneration on MRI. It revealed that mucinous degeneration is relatively uncommon and did not have a clear association with cancer recurrence or patient survival. The study emphasized the limitations of MRI in differentiating between cellular and acellular mucin and indicated a need for more advanced imaging techniques.