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Artificial intelligence to assess body composition on routine abdominal CT scans and predict mortality in pancreatic cancer- A recipe for your local application.

Hsu, Tzu-Ming Harry, Khoschy Schawkat, Seth J Berkowitz, Jesse L Wei, Alina Makoyeva, Kaila Legare, Corinne DeCicco, et al. 2021. “Artificial Intelligence to Assess Body Composition on Routine Abdominal CT Scans and Predict Mortality in Pancreatic Cancer- A Recipe for Your Local Application.”. European Journal of Radiology 142: 109834.

Improved estimates of strength and stiffness in pathologic vertebrae with bone metastases using CT-derived bone density compared with radiographic bone lesion quality classification.

Alkalay, Ron N, Michael W Groff, Marc A Stadelmann, Florian M Buck, Sven Hoppe, Nicolas Theumann, Umesh Mektar, Roger B Davis, and David B Hackney. 2022. “Improved Estimates of Strength and Stiffness in Pathologic Vertebrae With Bone Metastases Using CT-Derived Bone Density Compared With Radiographic Bone Lesion Quality Classification.”. Journal of Neurosurgery. Spine 36 (1): 113-24.

Ultrasound-Guided Lateral Abdominal Wall Botulinum Toxin Injection Before Ventral Hernia Repair: A Review for Radiologists.

Kurumety, Sasha, Austin Walker, Jonathan Samet, Thomas Grant, Gregory A Dumanian, and Swati Deshmukh. 2021. “Ultrasound-Guided Lateral Abdominal Wall Botulinum Toxin Injection Before Ventral Hernia Repair: A Review for Radiologists.”. Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine 40 (10): 2019-30.

Ovarian cancer reporting lexicon for computed tomography (CT) and magnetic resonance (MR) imaging developed by the SAR Uterine and Ovarian Cancer Disease-Focused Panel and the ESUR Female Pelvic Imaging Working Group.

Shinagare, Atul B, Elizabeth A Sadowski, Hyesun Park, Olga R Brook, Rosemarie Forstner, Sumer K Wallace, Jeanne M Horowitz, et al. 2022. “Ovarian Cancer Reporting Lexicon for Computed Tomography (CT) and Magnetic Resonance (MR) Imaging Developed by the SAR Uterine and Ovarian Cancer Disease-Focused Panel and the ESUR Female Pelvic Imaging Working Group.”. European Radiology 32 (5): 3220-35.