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BMC Medical Imaging
Published in: BMC Medical Imaging 1/2020

01-12-2020 | Cervical Cancer | Research article

Potentialities of multi-b-values diffusion-weighted imaging for predicting efficacy of concurrent chemoradiotherapy in cervical cancer patients

Authors: Bing Liu, Wan-Ling Ma, Guang-Wen Zhang, Zhen Sun, Meng-Qi Wei, Wei-Huan Hou, Bing-Xin Hou, Li-Chun Wei, Yi Huan

Published in: BMC Medical Imaging | Issue 1/2020

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Abstract

Background

To testify whether multi-b-values diffusion-weighted imaging (DWI) can be used to ultra-early predict treatment response of concurrent chemoradiotherapy (CCRT) in cervical cancer patients and to assess the predictive ability of concerning parameters.

Methods

Fifty-three patients with biopsy proved cervical cancer were retrospectively recruited in this study. All patients underwent pelvic multi-b-values DWI before and at the 3rd day during treatment. The apparent diffusion coefficient (ADC), true diffusion coefficient (Dslow), perfusion-related pseudo-diffusion coefficient (Dfast), perfusion fraction (f), distributed diffusion coefficient (DDC) and intravoxel diffusion heterogeneity index(α) were generated by mono-exponential, bi-exponential and stretched exponential models. Treatment response was assessed based on Response Evaluation Criteria in Solid Tumors (RECIST v1.1) at 1 month after the completion of whole CCRT. Parameters were compared using independent t test or Mann-Whitney U test as appropriate. Receiver operating characteristic (ROC) curves was used for statistical evaluations.

Results

ADC-T0 (p = 0.02), Dslow-T0 (p <  0.01), DDC-T0 (p = 0.03), ADC-T1 (p <  0.01), Dslow-T1 (p <  0.01), ΔADC (p = 0.04) and Δα (p <  0.01) were significant lower in non-CR group patients. ROC analyses showed that ADC-T1 and Δα exhibited high prediction value, with area under the curves of 0.880 and 0.869, respectively.

Conclusions

Multi-b-values DWI can be used as a noninvasive technique to assess and predict treatment response in cervical cancer patients at the 3rd day of CCRT. ADC-T1 and Δα can be used to differentiate good responders from poor responders.
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Metadata
Title
Potentialities of multi-b-values diffusion-weighted imaging for predicting efficacy of concurrent chemoradiotherapy in cervical cancer patients
Authors
Bing Liu
Wan-Ling Ma
Guang-Wen Zhang
Zhen Sun
Meng-Qi Wei
Wei-Huan Hou
Bing-Xin Hou
Li-Chun Wei
Yi Huan
Publication date
01-12-2020
Publisher
BioMed Central
Published in
BMC Medical Imaging / Issue 1/2020
Electronic ISSN: 1471-2342
DOI
https://doi.org/10.1186/s12880-020-00496-x

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