Dynamic Contrast Enhanced Magnetic Resonance Imaging in Evaluation of Various Breast Pathologies with Histopathological Correlation
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by
Ashwini Murlidhar Bakde,
Jasdeep Kaur,
Prajwalit Gaur
2019 RO07-RO11
Abstract
Introduction: MRI Breast came as a promising modality for
evaluation of breast pathologies. Dynamic Contrast-Enhanced
(DCE) MRI of the breast has recently emerged as the most sensitive
(95-100%) instrument for the detection of breast cancer which
makes it an excellent tool in specific clinical situations, such as the
screening of patients at high risk for breast cancer, evaluation of the
extent of disease in patients with a new diagnosis, axillary carcinoma
of unknown primary, assessing neoadjuvant chemotherapy
treatment response and detection of local recurrence in patients
who have received breast-conservation therapy.
Aim: To study the characterization of various breast masses and
differentiating breast lesions into benign and malignant based
on their contrast enhancement curves and correlating them with
histopathological diagnosis.
Materials and Methods: An observational Study was performed
on 52 patients for duration of two years. For MRI imaging; a
Philips Achieva 1.5 Tesla MRI Machine was used. All the patients
underwent FNAC and/or HPE following MRI. Patients with lump/
pain in breast, nipple discharge/nipple retraction were included
in the study.
Results: Most of the patients were females and in 41-50
years age group. Most common type enhancement curve in
the malignant tumours was the type 3 curve. Majority of the
malignant tumours showed diffusion restriction on DWI. On
correlation with histopathology, the sensitivity of MRI was found
to be 96.29%, specificity 89.47 %, positive predictive value
92.85% and negative predictive value 94.44% and accuracy
93.47%.
Conclusions: Dynamic contrast enhanced MRI is useful in
accurate diagnosis of breast lesions, its detection and also in
monitoring the breast lesions. MRI has the advantage of being
non-invasive, three dimensional and the extension of the lesions
are better visualised on MRI.
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