ROLE OF DIFFUSION WEIGHTED MRI IN THE IMAGING OF BENIGN AND MALIGNANT BREAST LESIONS : A HOSPITAL BASED, CROSS-SECTIONAL STUDY IN A TERTIARY CARE HOSPITAL IN CENTRAL INDIA

Breast cancer remains a leading cause of morbidity and mortality among women worldwide, underscoring the need for accurate and non-invasive diagnostic tools. While mammography and ultrasound are first-line modalities, magnetic resonance imaging (MRI) has assumed a pivotal role, particularly with the addition of diffusion-weighted imaging (DWI). This hospital-based cross-sectional study evaluated the diagnostic utility of DWI and apparent diffusion coefficient (ADC) values in differentiating benign and malignant breast lesions. A total of 53 patients undergoing breast MRI were reviewed over 24 months, of whom 45 were included based on strict criteria. All underwent conventional MRI and DWI at bvalues of 0, 500, and 1000 s/mm², with findings correlated against histopathology. Of the 45 lesions, 21 were malignant and 24 benign. Malignant lesions consistently showed diffusion restriction and lower ADC values, with significant differences from benign lesions at both b-values. ROC analysis demonstrated superior diagnostic performance at b=1000 (AUC 0.948). Cohen's Kappa showed substantial agreement at b=500 (κ=0.73) and near-perfect agreement at b=1000 (κ=0.91). Discordant cases highlighted the value of higher b-values in reducing false positives. These results support the inclusion of DWI and ADC mapping, particularly at b=1000, in breast MRI protocols to enhance specificity, reduce unnecessary biopsies, and guide clinical decision-making.

Authors

Institutions

Publication Details

Journal
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH
Published
2025-11-01
DOI
https://doi.org/10.36106/ijsr/5301798
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ROLE OF DIFFUSION WEIGHTED MRI IN THE IMAGING OF BENIGN AND MALIGNANT BREAST LESIONS : A HOSPITAL BASED, CROSS-SECTIONAL STUDY IN A TERTIARY CARE HOSPITAL IN CENTRAL INDIA

Mayur Patel, Aarti Anand, Niveditha R. Nairy, Vidhina Khade
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH
MRI in cancer diagnosis
article

ROLE OF DIFFUSION WEIGHTED MRI IN THE IMAGING OF BENIGN AND MALIGNANT BREAST LESIONS : A HOSPITAL BASED, CROSS-SECTIONAL STUDY IN A TERTIARY CARE HOSPITAL IN CENTRAL INDIA

Mayur Patel, Aarti Anand, Niveditha R. Nairy, Vidhina Khade
article en

Abstract

Breast cancer remains a leading cause of morbidity and mortality among women worldwide, underscoring the need for accurate and non-invasive diagnostic tools. While mammography and ultrasound are first-line modalities, magnetic resonance imaging (MRI) has assumed a pivotal role, particularly with the addition of diffusion-weighted imaging (DWI). This hospital-based cross-sectional study evaluated the diagnostic utility of DWI and apparent diffusion coefficient (ADC) values in differentiating benign and malignant breast lesions. A total of 53 patients undergoing breast MRI were reviewed over 24 months, of whom 45 were included based on strict criteria. All underwent conventional MRI and DWI at bvalues of 0, 500, and 1000 s/mm², with findings correlated against histopathology. Of the 45 lesions, 21 were malignant and 24 benign. Malignant lesions consistently showed diffusion restriction and lower ADC values, with significant differences from benign lesions at both b-values. ROC analysis demonstrated superior diagnostic performance at b=1000 (AUC 0.948). Cohen's Kappa showed substantial agreement at b=500 (κ=0.73) and near-perfect agreement at b=1000 (κ=0.91). Discordant cases highlighted the value of higher b-values in reducing false positives. These results support the inclusion of DWI and ADC mapping, particularly at b=1000, in breast MRI protocols to enhance specificity, reduce unnecessary biopsies, and guide clinical decision-making.

INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH
Department of Physics, Mathematics and Informatics (BY)
Openalex Percentile: Top 50%
MRI in cancer diagnosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.