개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.2
- 수록면
- 14 - 24 (11page)
이용수
초록· 키워드
오류제보하기
This study aims to assess the quality and performance of predictive models for colorectal cancer liver metastasis (CRCLM). A systematic review was performed to identify relevant studies from various databases. Studies that described or validated predictive models for CRCLM were included. The methodological quality of the predictive models was assessed. Model performance was evaluated by the reported area under the receiver operating characteristic curve (AUC). Of the 117 articles screened, seven studies comprising 14 predictive models were included. The distribution of included predictive models was as follows: radiomics (n = 3), logistic regression (n = 3), Cox regression (n = 2), nomogram (n = 3), support vector machine (SVM, n = 2), random forest (n = 2), and convolutional neural network (CNN, n = 2). Age, sex, carcinoembryonic antigen, and tumor staging (T and N stage) were the most frequently used clinicopathological predictors for CRCLM. The mean AUCs ranged from 0.697 to 0.870, with 86% of the models demonstrating clear discriminative ability (AUC > 0.70). A hybrid approach combining clinical and radiomic features with SVM provided the best performance, achieving an AUC of 0.870. The overall risk of bias was identified as high in 71% of the included studies. This review highlights the potential of predictive modeling to accurately predict the occurrence of CRCLM. Integrating clinicopathological and radiomic features with machine learning algorithms demonstrates superior predictive capabilities.
목차
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
Conclusion
REFERENCES
참고문헌 (0)
참고문헌 신청이 논문의 저자 정보
이 논문과 함께 이용한 논문
Exploring the role of copine 1 in human colorectal cancer: investigating its association with tumorigenesis andmetastasis
Jin-Kwon Lee
,
Seung-Jun Lee
,
Young-Sool Hah
외 11명
Annals of Surgical Treatment and Research
2023
.12
Totally laparoscopic central bisectionectomy for colorectal cancer liver metastasis using indocyanine green fluorescence imaging
Youngmok PARK
,
Jae
,
i KIM
외 2명
Annals of Hepato-Biliary-Pancreatic Surgery
2021
.12
[Colorectal] Risk Factors Associated with Survival after Metastasectomy in Patients with Pulmonary Metastasis from Colorectal Cancer: A Single Center Experience
Seung Ah Lee
,
Dae Hee Pyo
,
Seung Hyeon Yun
외 7명
대한외과학회 학술대회 초록집
2022
.11
The Effect of Para-aortic Lymph Node Dissection for Colorectal Cancer Patients with Other Distant Metastasis
Jun Woo Bong
대한외과학회 학술대회 초록집
2022
.11
The Susceptibility Prediction of Chemotherapy (FOLFIRI + Cetuximab Therapy) to Patients with Colorectal Cancer Liver Metastasis
Sanghee Kang
,
Sang Chul Oh
,
Yeonuk Ju
외 4명
대한외과학회 학술대회 초록집
2022
.11
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-151-24-02-089379068