Accuracy of deep neural learning models in the imaging prediction of pathological complete response after neoadjuvant chemoradiotherapy for locally advanced rectal cancer: a systematic review-Reference-Cited by-同舟云学术

Accuracy of deep neural learning models in the imaging prediction of pathological complete response after neoadjuvant chemoradiotherapy for locally advanced rectal cancer: a systematic review

Published:2023-08-18 Issue:1 Volume:408 Page:
ISSN:1435-2451
Container-title:Langenbeck's Archives of Surgery
language:en
Short-container-title:Langenbecks Arch Surg

Author:

Prabhakaran Sowmya^ORCID,Choong Keith Wai Keong^ORCID,Prabhakaran Swetha^ORCID,Choy Kay Tai^ORCID,Kong Joseph CH^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Surgery

Link

https://link.springer.com/content/pdf/10.1007/s00423-023-03039-4.pdf

Reference42 articles.

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2. Janjan NA, Khoo VS, Abbruzzese J, Pazdur R, Dubrow R, Cleary KR et al (1999) Tumor downstaging and sphincter preservation with preoperative chemoradiation in locally advanced rectal cancer: the M. D. Anderson Cancer Center experience. Int J Radiat Oncol Biol Phys 44(5):1027–1038

3. Pucciarelli S, Friso ML, Toppan P, Fornasiero A, Carnio S, Marchiori E et al (2000) Preoperative Combined Radiotherapy and Chemotherapy for Middle and Lower Rectal Cancer: Preliminary Results. Ann Surg Oncol 7(1):38–44

4. Moreno CC, Sullivan PS, Mittal PK (2017) MRI Evaluation of Rectal Cancer: Staging and Restaging. Curr Probl Diagn Radiol 46(3):234–241

5. Panagiotopoulou IG, Parashar D, Qasem E, Mezher-Sikafi R, Parmar J, Wells AD et al (2015) Neoadjuvant Long-Course Chemoradiotherapy for Rectal Cancer: Does Time to Surgery Matter? Int Surg 100(6):968–973

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