Whole-tumor histogram analysis of apparent diffusion coefficients for predicting lymphovascular space invasion in stage IB-IIA cervical cancer.

Autor: Cheng JM; Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China., Luo WX; Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China., Tan BG; Department of Radiology, Panzhihua Central Hospital, Panzhihua, Sichuan, China., Pan J; Department of General Practice, Taiping Town Central Health Center, Leshan, Sichuan, China., Zhou HY; Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China., Chen TW; Sichuan Key Laboratory of Medical Imaging, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Jazyk: angličtina
Zdroj: Frontiers in oncology [Front Oncol] 2023 Jun 19; Vol. 13, pp. 1206659. Date of Electronic Publication: 2023 Jun 19 (Print Publication: 2023).
DOI: 10.3389/fonc.2023.1206659
Abstrakt: Objectives: To investigate the value of apparent diffusion coefficient (ADC) histogram analysis based on whole tumor volume for the preoperative prediction of lymphovascular space invasion (LVSI) in patients with stage IB-IIA cervical cancer.
Methods: Fifty consecutive patients with stage IB-IIA cervical cancer were stratified into LVSI-positive (n = 24) and LVSI-negative (n = 26) groups according to the postoperative pathology. All patients underwent pelvic 3.0T diffusion-weighted imaging with b-values of 50 and 800 s/mm 2 preoperatively. Whole-tumor ADC histogram analysis was performed. Differences in the clinical characteristics, conventional magnetic resonance imaging (MRI) features, and ADC histogram parameters between the two groups were analyzed. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance of ADC histogram parameters in predicting LVSI.
Results: ADC max , ADC range , ADC 90 , ADC 95 , and ADC 99 were significantly lower in the LVSI-positive group than in the LVSI-negative group (all P -values < 0.05), whereas no significant differences were reported for the remaining ADC parameters, clinical characteristics, and conventional MRI features between the groups (all P -values > 0.05). For predicting LVSI in stage IB-IIA cervical cancer, a cutoff ADC max of 1.75×10 -3 mm 2 /s achieved the largest area under ROC curve (A z ) of 0.750, followed by a cutoff ADC range of 1.36×10 -3 mm 2 /s and ADC 99 of 1.75×10 -3 mm 2 /s (A z = 0.748 and 0.729, respectively), and the cutoff ADC 90 and ADC 95 achieved an A z of <0.70.
Conclusion: Whole-tumor ADC histogram analysis has potential value for preoperative prediction of LVSI in patients with stage IB-IIA cervical cancer. ADC max , ADC range, and ADC 99 are promising prediction parameters.
Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
(Copyright © 2023 Cheng, Luo, Tan, Pan, Zhou and Chen.)
Databáze: MEDLINE
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