Role of Functional Magnetic Resonance Imaging Derived Parameters as Imaging Biomarkers and Correlation with Clinicopathological Features in Carcinoma of Uterine Cervix
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 tu...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
JCDR Research and Publications Private Limited
2017-08-01
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Series: | Journal of Clinical and Diagnostic Research |
Subjects: | |
Online Access: | https://jcdr.net/articles/PDF/10426/29165_CE(RA1)_F(T)_PF1(NE_VT_SS)_PFA(NE_SS).pdf |
Summary: | 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
T2
W MRI based tumour volume (TV) was 48.18 (±34.3, range:
7–206) and on DWI images was 36.68(±33.72, range: 2.5–200).
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 T2
W 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. |
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ISSN: | 2249-782X 0973-709X |