Here are links to cited references to further explore the topics proposed in our newsletters.
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Srinivas Rao S, Ghosh S, Vardar BU et al. Imaging in malignant peritoneal neoplasms. Abdom Radiol (NY). 2025 Mar;50(3):1285-306.
von Bechtolsheim F, Spindler M, Jungmann V et al. Predictive factors for the detection of occult metastases during staging laparoscopy in patients with gastric carcinoma and adenocarcinoma of the esophagogastric junction. Langenbecks Arch Surg. 2025 Jul 4;410(1):215.
Požar I, Bajrović FF, Umek L, Popović KS. Automated assessment of collateral circulation and infarct core: predictors of functional outcomes in acute ischemic stroke following endovascular thrombectomy. Neuroradiology. 2025 Feb 4.
Gragnano E, Cocozza S, Rizzuti M et al. Evolution of CT perfusion software in stroke imaging: from deconvolution to artificial intelligence. Eur Radiol. 2025 Jul 9.
Zhao Q, Liu L, Xian H et al. Prognostic value of computed tomography-derived fractional flow reserve in patients with diabetes mellitus and unstable angina. Cardiovasc Diabetol. 2024 Nov 8;23(1):404.
Tomizawa N, Fan R, Fujimoto S et al. High-resolution deep learning reconstruction to improve the accuracy of CT fractional flow reserve. Eur Radiol. 2025 May 22.
Harada T, Watari T, Watanuki S et al. Preventable diagnostic errors of lower gastrointestinal perforation: a secondary analysis of a large-scale multicenter retrospective study. Int J Emerg Med. 2024 Dec 20;17(1):192.
LinkChiu I-M, Huang T-Y, Ouyang D et al. PACT-3D, a deep learning algorithm for pneumoperitoneum detection in abdominal CT scans. Nat Commun. 2024 Nov 7;15(1):9660.
LinkHarmath C, Fung A, Aslam A et al. LI-RADS radiation-based treatment response algorithm for HCC: what to know and how to use it. Abdom Radiol (NY). 2024 Oct 19. doi: 10.1007/s00261-024-04611-2.
LinkKierans AS, Fowler KJ, Chernyak V. LI-RADS in 2024: recent updates, planned refinements, and future directions. Abdom Radiol (NY). 2024 Dec 13. doi: 10.1007/s00261-024-04730-w.
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