COMPARATIVE STUDY OF DWI VS DYNAMIC CONTRAST ENHANCED MRI IN DIAGNOSIS OF BREAST TUMORS KEEPING HISTOPATHOLOGY AS GOLD STANDARD

Background: Breast cancer remains a leading cause of morbidity and mortality among women worldwide. Early and accurate detection plays a crucial role in improving treatment outcomes and survival rates. Imaging modalities such as Diffusion-Weighted Imaging (DWI) and Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) offer promising non-invasive diagnostic approaches. These methods provide valuable anatomical and functional information, particularly in cases where biopsy is limited by lesion size or location. Objective: To assess and compare the diagnostic accuracy of DWI and DCE-MRI in differentiating between benign and malignant breast tumors, using histopathology as the gold standard. Methods: This cross-sectional study was conducted at the Armed Forces Institute of Radiology and Imaging (AFIRI), Rawalpindi, from September 2022 to August 2024. A total of 100 female patients aged 18–75 years were enrolled through purposive sampling after obtaining informed consent. All participants underwent breast MRI using a 1.5 Tesla machine, incorporating both DWI with b-values of 0 and 750 s/mm² and DCE-MRI. Time-Intensity Curves (TIC) were generated, and tumor classification was performed according to ACR BI-RADS. Imaging findings were compared with histopathological outcomes to calculate sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy (DA). Results: The mean age of patients with benign tumors was 39.76 ± 12.30 years, while for malignant tumors it was 44.62 ± 11.68 years. Histopathological evaluation confirmed 29% benign and 71% malignant tumors. DWI showed a sensitivity of 97.18%, specificity of 89.66%, PPV of 95.83%, NPV of 92.86%, and diagnostic accuracy of 95%. DCE-MRI demonstrated sensitivity of 97.18%, specificity of 86.21%, PPV of 94.52%, NPV of 92.59%, and diagnostic accuracy of 94%. Combining both modalities improved diagnostic accuracy to 97%. Conclusion:DWI and DCE-MRI demonstrated high diagnostic performance in distinguishing breast tumor types. Combined use further enhances accuracy and may reduce the need for invasive procedures, especially in diagnostically challenging cases.

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Publication Details

Journal
Insights-Journal of Health and Rehabilitation
Published
2025-05-15
DOI
https://doi.org/10.71000/kqry8e80
Primary Topic
Digital Imaging for Blood Diseases
Type
article
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article

COMPARATIVE STUDY OF DWI VS DYNAMIC CONTRAST ENHANCED MRI IN DIAGNOSIS OF BREAST TUMORS KEEPING HISTOPATHOLOGY AS GOLD STANDARD

Sarah Nathaniel, Rabia Haq, Adnan Yousaf, M. Asif Naeem et al.
Insights-Journal of Health and Rehabilitation
Digital Imaging for Blood Diseases
article

COMPARATIVE STUDY OF DWI VS DYNAMIC CONTRAST ENHANCED MRI IN DIAGNOSIS OF BREAST TUMORS KEEPING HISTOPATHOLOGY AS GOLD STANDARD

Sarah Nathaniel, Rabia Haq, Adnan Yousaf, M. Asif Naeem, Muhammad Zeeshan Ali, Sania Nathaniel
article en

Abstract

Background: Breast cancer remains a leading cause of morbidity and mortality among women worldwide. Early and accurate detection plays a crucial role in improving treatment outcomes and survival rates. Imaging modalities such as Diffusion-Weighted Imaging (DWI) and Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) offer promising non-invasive diagnostic approaches. These methods provide valuable anatomical and functional information, particularly in cases where biopsy is limited by lesion size or location. Objective: To assess and compare the diagnostic accuracy of DWI and DCE-MRI in differentiating between benign and malignant breast tumors, using histopathology as the gold standard. Methods: This cross-sectional study was conducted at the Armed Forces Institute of Radiology and Imaging (AFIRI), Rawalpindi, from September 2022 to August 2024. A total of 100 female patients aged 18–75 years were enrolled through purposive sampling after obtaining informed consent. All participants underwent breast MRI using a 1.5 Tesla machine, incorporating both DWI with b-values of 0 and 750 s/mm² and DCE-MRI. Time-Intensity Curves (TIC) were generated, and tumor classification was performed according to ACR BI-RADS. Imaging findings were compared with histopathological outcomes to calculate sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy (DA). Results: The mean age of patients with benign tumors was 39.76 ± 12.30 years, while for malignant tumors it was 44.62 ± 11.68 years. Histopathological evaluation confirmed 29% benign and 71% malignant tumors. DWI showed a sensitivity of 97.18%, specificity of 89.66%, PPV of 95.83%, NPV of 92.86%, and diagnostic accuracy of 95%. DCE-MRI demonstrated sensitivity of 97.18%, specificity of 86.21%, PPV of 94.52%, NPV of 92.59%, and diagnostic accuracy of 94%. Combining both modalities improved diagnostic accuracy to 97%. Conclusion:DWI and DCE-MRI demonstrated high diagnostic performance in distinguishing breast tumor types. Combined use further enhances accuracy and may reduce the need for invasive procedures, especially in diagnostically challenging cases.

Insights-Journal of Health and RehabilitationVol. 3(3 (Health & Allied))
Armed Forces Institute of Pathology (PK), Bolan University of Medical and Health Sciences (PK)
Openalex Percentile: Top 90%
Digital Imaging for Blood Diseases
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