Histogram Analysis of Diffusion-Weighted Magnetic Resonance Imaging as a Biomarker to Predict Lymph Node Metastasis in T3 Stage Rectal Carcinoma
Authors Li J, Zhou Y, Wang X, Yu Y, Zhou X, Luan K
Received 25 December 2020
Accepted for publication 3 March 2021
Published 1 April 2021 Volume 2021:13 Pages 2983—2993
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Prof. Dr. Xueqiong Zhu
Jin Li,1,* Yang Zhou,1,2,* Xinxin Wang,2 Yanyan Yu,2 Xueyan Zhou,3 Kuan Luan1
1College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, 150001, Heilongjiang Province, People’s Republic of China; 2Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, 150001, Heilongjiang Province, People’s Republic of China; 3School of Technology, Harbin University, Harbin, 150001, Heilongjiang Province, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Kuan Luan
College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, 150001, Heilongjiang Province, People’s Republic of China
Email [email protected]
Purpose: This study investigated the predictive value of apparent diffusion coefficient (ADC) histogram parameters of the primary tumor for regional lymph node metastasis (LNM) in pathological T3 stage rectal cancer.
Patients and Methods: We retrospectively studied 175 patients with T3 stage rectal cancer who underwent preoperative MRI, including diffusion-weighted imaging, between January 2015 and October 2017. Based on pathological analysis of surgical specimens, 113 patients were classified into the LN− group and 62 in the LN+ group. We analyzed clinical data, radiological characteristics and histogram parameters derived from ADC maps. Then, receiver operating characteristic curve (ROC) analyses were generated to determine the best diagnostic performance.
Results: The mean (p=0.002, cutoff=1.08× 10– 3 s/mm2), coefficient of variation (CV) (p=0.040, cutoff=0.249) of the ADC map, carbohydrate antigen 199, and N stage with magnetic resonance (mrN stage) were independent factors for LNM. Combining these factors yielded the best diagnostic performance, with the area under the ROC curve of 0.838, 72.9% sensitivity, 79.1% specificity, 65.2% positive predictive value, and 84.5% negative predictive value.
Conclusion: With the mean > 1.08× 10– 3 s/mm2 and CV < 0.249, the ADC improved the diagnostic performance of LNM in T3 stage rectal cancer, which could assist surgeons with neoadjuvant chemoradiotherapy.
Keywords: diffusion-weighted magnetic resonance imaging, rectal cancer, lymph node metastasis, histogram analysis
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