A Prospective Study of Predicting the Nuclear Grade of Breast Cancer Using Diffusion Weighted Imaging: An Institutional Based Study
European Journal of Molecular & Clinical Medicine,
2022, Volume 9, Issue 7, Pages 370-374
AbstractIntroduction: As it has to aware that the breast cancer is the commonest cancer among women around the globe. Diffusion Weighted Imaging (DWI) helps to evaluate the physiological and functional environment of the lesion by observing the random motion of water molecules, tissue cellularity, fluid viscosity, membrane permeability and blood flow pattern that could be measured quantitatively by Apparent Diffusion Coefficient (ADC) values.
Materials and Methodology: A total of 70 patients with histo-pathologically proven breast carcinoma form the study sample in the study (3 patients had bilateral malignancy). MRI examinations were performed within 2 weeks before surgery. All the 70 participants who had done breast MRI underwent surgery. Statistical analysis was performed using SPSS (Statistical package for social science version16.0 for windows). Students T test and Analysis of Variance (ANOVA) were used to study the difference in ADC between two groups.
Results: Out of all the total 70 breast lesions, 53 lesions were (76%) single, while 9(13%) were multifocal carcinoma and 8 (11%) were multicentric multifocal breast carcinoma. Histological types included invasive ductal carcinoma no special type (65) invasive lobular carcinoma (1) mucinous carcinoma (2) papillary carcinoma (1) medullary carcinoma (1). The ADC value was correlated with pathological grading of the tumour (r = ‑0.497, P < 0.001).
Conclusion: DWI usually takes short acquisition time and post‑processing time and does not require any administration of contrast dyes and provides a real-time quantitative functional parameter for evaluating the tumour aggressiveness.
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