Abstract

This study is to investigate optimum apparent diffusion coefficient (ADC) parameter for predicting lymphovascular invasion (LVI), lymph node metastasis (LNM) and histology type in resectable rectal cancer. 58 consecutive patients with resectable rectal cancer were retrospectively identified. The minimum, maximum, average ADC and ADC difference value were obtained on ADC maps. Maximum ADC and ADC difference value increased with the appearance of LVI (r = 0.501 and 0.495, P < 0.001, respectively) and development of N category (r = 0.615 and 0.695, P < 0.001, respectively). ADC difference value tended to rise with lower tumor differentiation (r = − 0.269, P = 0.041). ADC difference value was an independent risk factor for predicting LVI (odds ratio = 1.323; P = 0.005) and LNM (odds ratio = 1.526; P = 0.005). Maximum ADC and ADC difference value could distinguish N0 from N1 category, N0 from N1–N2, N0–N1 from N2 (all P < 0.001). Only ADC difference value could distinguish histology type (P = 0.041). ADC difference value had higher area under the receiver operating characteristic curve than maximum ADC in identifying LVI (0.828 vs 0.797), N0 from N1 category (0.947 vs 0.847), N0 from N1–N2 (0.935 vs 0.874), and N0–N1 from N2 (0.814 vs 0.770). ADC difference value may be superior to the other ADC value parameters to predict LVI, N category and histology type of resectable rectal cancer.

Details

Title
Assessment of histologic prognostic factors of resectable rectal cancer: comparison of diagnostic performance using various apparent diffusion coefficient parameters
Author
Li, Hang 1 ; Guang-wen, Chen 1 ; Yi-Sha, Liu 2 ; Pu, Hong 1 ; Long-lin, Yin 1 ; Neng-yi, Hou 3 ; Xiao-li, Chen 4 

 Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, Department of Radiology, Chengdu, China (GRID:grid.410646.1) (ISNI:0000 0004 1808 0950) 
 Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, Department of Pathology, Chengdu, China (GRID:grid.410646.1) (ISNI:0000 0004 1808 0950) 
 Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, Department of Gastrointestinal Surgery, Chengdu, China (GRID:grid.410646.1) (ISNI:0000 0004 1808 0950) 
 University of Electronic Science and Technology of China, Sichuan Cancer Hospital, Department of Radiology, Affiliated Cancer Hospital of Medical School, Chengdu, China (GRID:grid.410646.1) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2423655444
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.