Predictive value of infiltrating tumor border configuration of rectal cancer on MRI

BMC Medical Imaging

Research

Kai Shang¹  Erhu Jin²  Leilei Yuan³  Xue Kong³  Jizheng Li³  Baohua Lv⁴  Yanling Cheng⁵ 

[1] Department of Orthopedic, Taian City Central Hospital, Qingdao University, 271099, Tai’an, China;Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95, Yong-an Road, 100050, Beijing, China;Department of Radiology, Taian City Central Hospital, Qingdao University, 271099, Tai’an, China;Department of Radiology, Taian City Central Hospital, Qingdao University, 271099, Tai’an, China;Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95, Yong-an Road, 100050, Beijing, China;Respiratory department of Shandong Second Rehabilitation Hospital, 271000, Tai’an, China;

关键词: Magnetic resonance imaging;    Extramural vascular invasion;    Rectal cancer;    Tumor border configuration;   

DOI  :  10.1186/s12880-023-01118-y

 received in 2023-01-28, accepted in 2023-10-03,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundInfiltrating tumor border configuration (iTBC) is assessed by postoperative pathological examination, thus, is not helpful for preoperative treatment strategies. The study aimed to detect iTBC by magnetic resonance imaging (MRI) and evaluate its predictive value.Materials and methodsA total of 153 patients with rectal cancer were retrospectively analyzed. Clinicopathological and MRI data mainly including tumor border configuration (TBC) on MRI, MRI-detected extramural vascular invasion (MEMVI), tumor length, tumor growth pattern, maximal extramural depth, pathology-proven lymph node metastasis (PLN) and pathology-proven extramural vascular invasion (PEMVI) were analyzed. The correlation of MRI factors with PEMVI and PLN was analyzed by univariate and multivariate logistic regression analyses. The nomograms were established based on multivariate logistic regression analysis and were confirmed by Bootstrap self-sampling. The receiver operating characteristic (ROC) curve analysis and area under the curve (AUC) were used to evaluate the diagnostic efficiency.ResultsFifty cases of PEMVI and 48 cases of PLN were found. Forty cases of PEMVI and 34 cases of PLN in 62 cases of iTBC were also found. iTBC, MEMVI and maximal extramural depth were significantly associated with PEMVI and PLN (P < 0.05). iTBC (odds ratio = 3.84 and 3.02) and MEMVI (odds ratio = 7.27 and 3.22) were independent risk factors for PEMVI and PLN. The C-indices of the two nomograms for predicting PEMVI and PLN were 0.863 and 0.752, respectively. The calibration curves and ROC curves of the two nomograms showed that the correlation between the predicted and the actual incidence of PEMVI and PLN was good. The AUCs of iTBC for predicting PEMVI and PLN were 0.793 (95% CI: 0.714–0.872) and 0.721 (95% CI: 0.632–0.810), respectively. The DeLong test showed that the predictive efficiency of the nomogram in predicting PEMVI was better than that of iTBC (P = 0.0009) and MEMVI (P = 0.0095).ConclusioniTBC and MEMVI are risk factors for PEMVI and pelvic lymph node metastasis. The nomograms based on iTBC show a good performance in predicting PEMVI and pelvic lymph node metastasis, possessing a certain clinical reference value.Trial registrationThis study was approved by the Ethics Committee of Beijing Friendship Hospital, and individual consent was waived for this retrospective analysis.

【 授权许可】

CC BY   
© BioMed Central Ltd., part of Springer Nature 2023

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