Role of Dynamic Contrast Enhanced MRI in the Evaluation and Characterisation of Breast Lesions with Pathological Correlation
Introduction: Magnetic Resonance Imaging (MRI) has an excellent soft tissue resolution and can detect and accurately characterise lesions which are not seen on other imaging modalities like mammography or ultrasonography. Dynamic Contrast Enhanced (DCE) MRI is better for characterisation of fib...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
JCDR Research and Publications Private Limited
2020-10-01
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Series: | Journal of Clinical and Diagnostic Research |
Subjects: | |
Online Access: | https://jcdr.net/articles/PDF/14090/45732_CE[Ra1]_F(SL)_PF1(AG_KM)_PFA(KM)_PB(AG_KM)_PN(SL).pdf |
Summary: | Introduction: Magnetic Resonance Imaging (MRI) has an
excellent soft tissue resolution and can detect and accurately
characterise lesions which are not seen on other imaging
modalities like mammography or ultrasonography. Dynamic
Contrast Enhanced (DCE) MRI is better for characterisation of
fibroglandular tissue and breast lesions as it further improves
specificity of MRI. Kinetic Curves (KC) derived from DCE MRI
according to the wash in and wash out patterns of intravenous
contrast are analysed and correlated with morphology of a
lesion.
Aim: To evaluate the efficacy of DCE MRI in detection and
characterisation of breast lesions according to KC analysis and
to correlate MRI findings with pathological findings.
Materials and Methods: A prospective observational study was
conducted at Guru Gobind Singh Medical College and Hospital,
Faridkot, Punjab, India. DCE MRI was performed after informed
consent in 50 females (Age ranging from 17 years to 80 years).
MRI was conducted on Siemens “MAGNETOM Avanto” 1.5
Tesla machine using standard dedicated breast matrix coils. The
standard MRI protocol included the T1 and T2 weighted fat-sat
sequences along with DCE MRI after intravenous administration
of Meglumine-Gadoterate (0.1 mmol/kg body weight) followed
by a 20-mL saline flush. Post processing manipulation included
standard subtraction, reverse subtraction, Maximum-Intensity
Projection (MIP) images and KC analysis. Findings of DCE
MRI were graded according to Breast Imaging-Reporting and
Data System (BI-RADS) category after morphological and KC
analysis and were correlated with pathological findings.
Results: MRI is a highly sensitive modality to detect breast
lesions especially bilateral and multifocal/multicentric lesions
with sensitivity of 98.18%. However, specificity was relatively
low (55.56%). The Positive and Negative Predictive Values (PPV,
NPV) of MRI in characterisation of breast lesions in present
study were 93.10% and 83.33%, respectively.
Conclusion: Although MRI is extremely sensitive for
detecting breast lesions it has a relatively low specificity.
Both morphological characteristics and KC analysis should
be used in combination for interpretation as it improves the
specificity of MRI. |
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ISSN: | 2249-782X 0973-709X |