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Clinical Article
The diagnostic value of radiomics based on HRT2WI and DWI in the breakthrough of the muscularis propria layer of rectal cancer
SHENG Fangting  TIAN Weizhong  FENG Zemeng 

Cite this article as: SHENG F T, TIAN W Z, FENG Z M. The diagnostic value of radiomics based on HRT2WI and DWI in the breakthrough of the muscularis propria layer of rectal cancer[J]. Chin J Magn Reson Imaging, 2023, 14(4): 102-106, 131. DOI:10.12015/issn.1674-8034.2023.04.017.

[Abstract] Objective To evaluate the diagnostic value of radiomics models based on high-resolution T2-weighted imaging (HRT2WI) and diffusion-weighted imaging (DWI) in the breakthrough of the muscularis propria of rectal cancer.Materials and Methods A retrospective analysis was performed on rectal cancer patients who underwent preoperative 3.0 T MRI scans including HRT2WI and DWI (b value of 800 s/mm2), and were confirmed by surgical pathology at Taizhou People's Hospital affiliated of Nanjing Medical University from January 2019 to December 2021. Patients with T1 and T2 staging were classified as the non-breakthrough group, and those with T3 and T4 staging were classified as the breakthrough group based on pathological staging. Radiomics features were extracted after manually delineating the volume of interest (VOI) on the lesion, and then independent sample t-tests and support vector machine (SVM) with a linear kernel were used for feature selection and dimensionality reduction, respectively, to select valuable radiomics features. The selected samples were randomly divided into training and validation sets at a ratio of 7∶3 for machine learning to build the SVM classifier model. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic performance of different models in terms of the area under the curve (AUC), sensitivity, specificity, and accuracy for detecting rectal cancer invasion beyond the muscularis propria. The DeLong test was used to compare the differences in AUC between different models.Results A total of 1142 radiomics features were extracted from the HRT2WI and DWI images of each patient's tumor tissue and screened by independent sample t-tests and SVM with a linear kernel. The SVM model constructed based on the radiomics features of HRT2WI images had a validation AUC value of 0.894, sensitivity of 90.0%, and specificity of 70.6%. The SVM model constructed based on the radiomics features of DWI images had a validation AUC value of 0.774, sensitivity of 60.0%, and specificity of 76.5%. The final predictive model combining HRT2WI and DWI had significantly better diagnostic performance than other models, with a validation AUC value of 0.927, sensitivity of 80.0%, and specificity of 88.2%. The DeLong test showed significant differences in predictive performance between the combined model and the single sequence models (P<0.05).Conclusions The radiomics model combining HRT2WI and DWI can effectively evaluate the breakthrough of the muscularis propria of rectal cancer, which may provide assistance for individualized clinical treatment.
[Keywords] rectal cancer;magnetic resonance imaging;radiomics;muscularis propria;diagnostic performan

SHENG Fangting1   TIAN Weizhong2*   FENG Zemeng3  

1 Graduate School of Dalian Medical University, Dalian 116000, China

2 Department of Radiology, Affiliated Taizhou Hospital of Nanjing Medical University, Taizhou 225300, China

3 School of Flexible Electronics (Future Technologies), Nanjing Tech University, Nanjing 210000, China

Corresponding author: Tian WZ, E-mail:

Conflicts of interest   None.

Received  2022-11-15
Accepted  2023-04-07
DOI: 10.12015/issn.1674-8034.2023.04.017
Cite this article as: SHENG F T, TIAN W Z, FENG Z M. The diagnostic value of radiomics based on HRT2WI and DWI in the breakthrough of the muscularis propria layer of rectal cancer[J]. Chin J Magn Reson Imaging, 2023, 14(4): 102-106, 131. DOI:10.12015/issn.1674-8034.2023.04.017.

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