Preoperative Prediction of Lymphovascular Invasion of Colorectal Cancer Based on Radiomics Approach
10.3969/j.issn.1005-5185.2018.03.008
- VernacularTitle:基于影像组学方法术前预测结直肠癌淋巴血管侵犯
- Author:
Cuishan LIANG
1
;
Yanqi HUANG
;
Lan HE
;
Xiaomei HUANG
;
Zixuan CHENG
;
Zaiyi LIU
Author Information
1. 南方医科大学研究生院
- Keywords:
Colorectal neoplasms;
Lymph;
Blood vessels;
Tomography;
spiral computed;
Image processing;
computer-assisted;
Forecasting;
Radiomics
- From:
Chinese Journal of Medical Imaging
2018;26(3):191-196,201
- CountryChina
- Language:Chinese
-
Abstract:
Purpose Lymph-vascular invasion (LVI) is a risk factor for the prognosis of colorectal cancer, and it is of great value to evaluate the status of lymphatic vessels before treatment. This study aims to predict colorectal cancer LVI preoperatively based on radiomics. Materials and Methods Radiomics features were extracted from preoperative CT images of colorectal cancer retrospectively collected and radiomics labels were constructed. The predictive efficacy of radiomics labels were assessed and internally verified. Joint predictive factors were established by combining clinical factors with independent predictive efficacy and radiomics labels, and their predictive efficacy was evaluated. Results Radiomics labels consisted of 58 radiomics features were correlated with LVI status (P<0.0001)with the former showing good discrimination ability[C-index 0.719,95% CI:0.715-0.723]and classification ability(sensitivity 0.726, specificity 0.628) with internal validation (C-index 0.720). Joint predictive factors containing radiomics labels and carcino-embryonic antigen further enhanced the predictability of radiomics labels (C-index 0.751, sensitivity 0.788, specificity 0.667). Conclusion The radiomics labels built in this study can provide individualized prediction of LVI status of patients with colorectal cancer before surgery. Joint predictive factors in combination with clinical risk factors further improved predictive efficacy.