Here are links to cited references to further explore the topics proposed in our newsletters.
Results
Zhang M, Gu S, Yuhui S. The use of deep learning methods in low-dose computed tomography image reconstruction: a systematic review. Complex Intell Syst. 2022;8:5545-5561.
LinkSato M, Ichikawa Y, Domae K et al. Deep learning image reconstruction for improving image quality of contrast-enhanced dual-energy CT in abdomen. Eur Radiol. 2022 Aug;32(8):5499-5507.
LinkGriffin LM. Computed tomography for aortic assessment in children. Pediatr Radiol. 2022 Dec;52(13):2470-2484.
LinkMalone LM, Morin CE, Browne LP. Coronary computed tomography angiography in children. Pediatr Radiol. 2022 Dec;52(13):2498-2509.
LinkZucker EJ. Computed tomography in tetralogy of Fallot: pre- and postoperative imaging evaluation. Planning the Procedure Pediatr Radiol. 2022 Dec;52(13):2485-2497.
LinkScaglione M, Galluzzo M, Santucci D et al. Small bowel obstruction and intestinal ischemia: emphasizing the role of MDCT in the management decision process. Abdom Radiol (NY). 2022 May;47(5):1541-1555.
LinkSrisajjakul S, Prapaisilp P, Bangchokdee S. Comprehensive review of acute small bowel ischemia: CT imaging findings, pearls, and pitfalls. Emerg Radiol. 2022 Jun;29(3):531-544.
LinkZimmerman SL, Rowe SP, Fishman EK. Cinematic rendering of CT angiography for visualization of complex vascular anatomy after hybrid endovascular aortic aneurysm repair. Emerg Radiol. 2021 Aug;28(4):839-843.
LinkSawada Y, Shimohira M, Nakagawa M et al. Advanced monoenergetic reconstruction technique for dual-energy computed tomography to evaluate endoleaks after endovascular stent-graft placement. Abdom Radiol (NY). 2020 Aug;45(8):2569-2575.
LinkKarmazanovsky G, Gruzdev I, Tikhonova V et al. Computed tomography-based radiomics approach in pancreatic tumors characterization. Radiol Med. 2021 Aug 12. doi: 10.1007/s11547-021-01405-0.
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