Prediction of Microsatellite Instability in Colorectal Cancer Using a Machine Learning Model Based on PET/CT Radiomics-Reference-Cited by-同舟云学术

Prediction of Microsatellite Instability in Colorectal Cancer Using a Machine Learning Model Based on PET/CT Radiomics

Published:2023 Issue:5 Volume:64 Page:320
ISSN:0513-5796
Container-title:Yonsei Medical Journal
language:en
Short-container-title:Yonsei Med J

Author:

Kim Soyoung¹^ORCID,Lee Jae-Hoon¹^ORCID,Park Eun Jung²^ORCID,Lee Hye Sun³^ORCID,Baik Seung Hyuk²^ORCID,Jeon Tae Joo¹^ORCID,Lee Kang Young⁴^ORCID,Ryu Young Hoon¹^ORCID,Kang Jeonghyun²^ORCID

Affiliation:

1. Department of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.

2. Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.

3. Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Korea.

4. Department of Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.

Publisher

XMLink

Subject

General Medicine

Link

https://eymj.org/pdf/10.3349/ymj.2022.0548

Reference40 articles.

1. Microsatellite Instability in Colorectal Cancer

2. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

3. The efficacy of adjuvant chemotherapy with 5-fluorouracil in colorectal cancer depends on the mismatch repair status

4. First FDA Approval Agnostic of Cancer Site — When a Biomarker Defines the Indication

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