Journal of Clinical and Diagnostic Research, ISSN - 0973 - 709X

Users Online : 12176

Original article / research
Table of Contents - Year : 2017 | Month : August | Volume : 11 | Issue : 8 | Page : XC06 - XC11

Role of Functional Magnetic Resonance Imaging Derived Parameters as Imaging Biomarkers and Correlation with Clinicopathological Features in Carcinoma of Uterine Cervix XC06-XC11

Ramireddy Jeba Karunya, Putta Tharani, Subhashini John, Ramani Manoj Kumar, Saikat Das

Dr. Saikat Das,
Associate Professor, Department of Radiotherapy, CMC Vellore-632004, Tamil Nadu, India.

Introduction: Magnetic Resonance Imaging (MRI) is emerging as a powerful tool in the evaluation and management of cervical cancer. The role of Diffusion Weighted Imaging (DWI) with Apparent Diffusion Coefficient (ADC) as a non-invasive imaging biomarker is promising in characterization of the tumour and prediction of response.

Aim: The aim of this study was to evaluate the role of conventional MRI and diffusion weighted MRI in predicting clinicopathological prognostic factors.

Materials and Methods: This was a retrospective study. The data of 100 cervical cancer patients who had MRI with DWI was retrieved from the database and analysed. Clinico pathological details were collected from the computerized hospital information system. SPSS version 15.0 was used for statistical analysis.

Results: The mean tumour dimensions on MRI in x, y and z axes were 43.04 mm (13.93, range: 17-85), 37.05mm (11.83, range: 9-80) and 39.63 mm (14.81, range: 14 76). The mean T2W MRI based tumour volume (TV) was 48.18 (34.3, range: 7206) and on DWI images was 36.68(33.72, range: 2.5200). The mean ADC value in patients with squamous cell carcinoma was 0.694 (0.125, n=88), adenocarcinoma was 0.989 (0.309, n=6), adenosquamous was 0.894 (0.324, n=4). There was statistical significant difference in mean ADC between squamous vs. non squamous histology (p = 0.02). The mean ADC values of well differentiated, moderately differentiated, and poorly differentiated tumours were 0.841(0.227, n= 26), 0.729 (0.125, n=28), 0.648 (0.099, n=46) respectively. There was significant statistical difference of mean ADC between well differentiated, moderately differentiated (p=0.020) and poorly differentiated tumours (p=0.0001). Difference between the mean ADC values between the node positive and node negative disease was statistically significant (p=0.0001). There was no correlation between the tumour volumes on T2W and DWI images and ADC values. Sixteen patients had residual/recurrent disease at a median follow up of 12 months (range: 3-59 months). The mean ADC values in this group was 0.71 (n=16) and was not significantly different from the disease free group (mean ADC =0.72, n=74).

Conclusion: Higher ADC values are associated with favourable histology and differentiation. Adenocarcinomas have higher ADC values followed by adenosquamous followed by squamous cell carcinomas. Well differentiated tumours had higher ADC values than moderately followed by poorly differentiated tumours. DWI with ADC have a potential role as an imaging biomarker for prognostication and needs further studies for routine clinical applications.