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Journal Of Modern Oncology[ISSN:1672-4992/CN:61-1415/R]

Issue:

2024 18

Page:

3543-3548

Research Field:

Publishing date:

Info

Title:

Predictive value of clinical-CT radiomics nomograms for disease-free survival of colorectal cancer

Author(s):

ZHANG Hu¹; WU Shujian²; XU Jiajun¹; ZHANG Fanghong¹; GUO Yong¹; FAN Wenjun¹; WANG Jiawei³; ZHANG Xiaojin¹

1.Medical Imaging Department;3.Urology Department,the Second People's Hospital of Wuhu,Anhui Wuhu 241000,China;2.Department of Radiology,the First Affiliated Hospital of Wannan Medical College,Anhui Wuhu 241000,China.

Keywords:

tomography; X-ray computed; radiomics; colorectal cancer; disease-free survival; nomograms

PACS:

R735.3

DOI:

10.3969/j.issn.1672-4992.2024.18.023

Abstract:

Objective:To construct a clinical model,radscore,and a joint model based on the above two to predict disease-free survival (DFS) in colorectal cancer (CRC) patients,and to compare the diagnostic efficacy of each model.Methods:The data of stage II and III CRC patients who underwent enhanced CT examination,primary radical surgery,and adjuvant chemotherapy between January 2015 and December 2019 were collected.There were 212 cases of DFS and 91 cases of progression disease (PD).The samples were randomly divided into a training group (n=217 cases) and a validation group (n=86 cases).The differences between clinical variables were compared and a clinical model for predicting DFS was established.In the venous phase CT image,the three-dimensional volume of interest (VOI) of the tumor was delineated,and the extracted radiomics features were dimensionally reduced and screened to obtain 11 optimal features for establishing the radscore,and a clinical+radscore joint model was constructed.The optimal model was presented in a nomogram and its calibration and clinical benefits were evaluated.The performance of various models in predicting DFS was compared.Results:There were statistically significant differences in intestinal obstruction,preoperative CEA,preoperative CA199,poor differentiation,T staging,lymph node metastasis,lymph-vascular invasion (LVI),perineural invasion (PNI),and the number of lymph node dissection between the two groups (all P£¼0.05).The AUC of clinical model,radscore,and joint model was 0.745,0.771,and 0.842 respectively (training group),0.753,0.738,0.834 (validation group).The joint model showed high calibration,with clinical benefits in the DCA threshold range of 0.12~0.90.The AUC of the combined model was greater than that of the clinical model and radscore (all P£¼0.05).Conclusion:The nomograms constructed based on clinical variables and CT radiomics can be used to predict DFS in CRC,and is expected to become a new tool for evaluating the prognosis of CRC.

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