Ultra-high resolution computed tomography with deep-learning-reconstruction: diagnostic ability in the assessment of gastric cancer and the depth of invasion-Reference-Cited by-同舟云学术

Ultra-high resolution computed tomography with deep-learning-reconstruction: diagnostic ability in the assessment of gastric cancer and the depth of invasion

Published:2024-06-28 Issue: Volume: Page:
ISSN:2366-0058
Container-title:Abdominal Radiology
language:en
Short-container-title:Abdom Radiol

Author:

Tanabe Masaya,Tanabe Masahiro^ORCID,Onoda Hideko,Nakashima Masatoshi,Higashi Mayumi,Kawano Yosuke,Hideura Keiko,Ueda Takaaki,Kobayashi Taiga,Ito Katsuyoshi

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00261-024-04363-z.pdf

Reference16 articles.

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2. Hallinan JT, Venkatesh SK (2013) Gastric carcinoma: imaging diagnosis, staging and assessment of treatment response. Cancer Imaging. 13(2):212-227. https://doi.org/10.1102/1470-7330.2013.0023

3. Zytoon AA, El-Atfey SIB, Hassanein SA-H (2020) Diagnosis of gastric cancer by MDCT gastrography: diagnostic characteristics and management potential. Egyptian Journal of Radiology and Nuclear Medicine. 51(1):30. https://doi.org/10.1186/s43055-020-0148-y

4. Shimizu K, Ito K, Matsunaga N, Shimizu A, Kawakami Y (2005) Diagnosis of gastric cancer with MDCT using the water-filling method and multiplanar reconstruction: CT-histologic correlation. AJR Am J Roentgenol. 185(5):1152-1158. https://doi.org/10.2214/ajr.04.0651

5. Oostveen LJ, Boedeker KL, Brink M, Prokop M, de Lange F, Sechopoulos I (2020) Physical evaluation of an ultra-high-resolution CT scanner. Eur Radiol. 30(5):2552-2560. https://doi.org/10.1007/s00330-019-06635-5