CC BY-NC-ND 4.0 · Indian J Radiol Imaging 2019; 29(04): 404-411
DOI: 10.4103/ijri.IJRI_339_19
Oncoradiology

Role of ADC values in assessing clinical response and identifying residual disease post-chemo radiation in uterine cervix cancer

Ankush Jajodia
Departments of Radiology, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi
,
Vivek Mahawar
Departments of Radiology, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi
,
Arvind K Chaturvedi
Departments of Radiology, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi
,
Avinash Rao
Departments of Radiology, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi
,
Rishu Singla
Departments of Radiology, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi
,
Swarupa Mitra
Departments of Radiation Oncology, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi
,
Sumit Goyal
Departments of Medical Oncology, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi
,
Sikha Kesan
Department of Obstetrics and Gynecology, KEM Hospital, Mumbai, Maharashtra, India
,
Sunil Pasricha
Departments of Histopathology, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi
,
Udip Maheshwari
Departments of Medical Oncology, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi
,
Rupal Tripathi
Departments of Research, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi
,
Venkata Pradeep Babu Koyyala
Departments of Radiation Oncology, Rajiv Gandhi Cancer Hospital and Research Institute, Sector 5, Rohini, Delhi
› Institutsangaben
Financial support and sponsorship Nil.

Abstract

Objectives: To evaluate the role of apparent diffusion coefficient (ADC) values in assessing response after chemo-radiotherapy in cervix cancer and investigate the utility of ADC as a tool to identify residual disease, after the treatment completion. Methods: A prospective study was done in 100 patients with histopathologically proven cancer of uterine cervix who were classified as either complete response (CR) or residual disease posttreatment. MRI was done pretreatment and after 6 weeks post-treatment with chemo-radiation. 53 patients among the cohort also underwent a fluoro-deoxy glucose positron-emission computed tomography (FDG-PET CT). ADC values, change in ADC values, and metabolic activity obtained from FDG-PET CT were correlated with clinical outcome, and statistical analysis was done to determine the better tool for assessing response evaluation between ADC and PET-CT. Results: Residual lesions have notably lower ADC value than that of posttreatment changes. The mean ADC values of residual tumors: 1.26 ± 0.238 × 10−3 mm2/s and mean ADC values of lesions due to posttreatment changes: 1.540 ± 0.218 × 10−3 mm2/s (statistically significant difference between malignant and posttreatment lesions, P < 0.05). ADC has 67% sensitivity, 83% specificity, 35% positive predictive values (PPV), 95% negative predictive values (NPV), and 81% accuracy in differentiating residual disease from post treatment changes. PPV, NPV, sensitivity, and specificity with PET-CT were 93%, 89%, 98%, and 73%, respectively. PPV, NPV, sensitivity, and specificity of contrast MRI were 16%, 91%, 58%, and 59%, respectively. Conclusion: Diffusion imaging differentiates residual cervix malignancies from post treatment changes based on ADC values and can be a promising and evocative biomarker. Complimentary use of ADC and PET/CT may increase diagnostic confidence.



Publikationsverlauf

Eingereicht: 10. August 2019

Angenommen: 26. November 2019

Artikel online veröffentlicht:
21. Juli 2021

© 2019. Indian Radiological Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

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