ArticleThe Indian journal of radiology & imaging
Diffusion weighted imaging in breast cancer - Can it be a noninvasive predictor of nuclear grade?
Article in The Indian journal of radiology & imaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 4 citations in OpenAlex.
- The role of magnetic resonance imaging (MRI) in breast cancer molecular subtypes.Polish journal of radiology · 2026Review
- Associations Between Apparent Diffusion Coefficient Values and Histopathologic Prognostic Factors in Breast Cancer: A Retrospective Study.International journal of breast cancer · 2026Article
- Comparative analysis of apparent diffusion coefficient (ADC) metrics for the differential diagnosis of breast mass lesions.BMC medical imaging · 2025Article
- Determining the Diagnostic Value of DWIBS in the Diagnosis of Breast Lesions Compared to Dynamic Contrast-Enhanced MRI: A Retrospective Observational Study.Advanced biomedical research · 2025Article
- Diagnostic value of multiple b-value diffusion-weighted imaging in discriminating the malignant from benign breast lesions.BMC medical imaging · 2023Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDWI and ADC values are noninvasive MRI techniques, which provide quantitative information about tumor heterogeneity.
aimTo determine the minimum and mean ADC values in breast carcinoma and to correlate ADC values with various prognostic factors. SETTINGS AND
designProspective observational study. MATERIALS AND
methodsFifty-five patients with biopsy-proven breast carcinoma were included in this study. MRI with DWI was performed with Siemens 3T Skyra scanner. ADC values were measured by placing regions of interest (ROIs) within the targeted lesions on ADC maps manually. The histopathological and immunohistochemical analysis of surgical specimen was done to determine the prognostic factors. STATISTICAL ANALYSIS: Students T test and ANOVA were used to study the difference in ADC between two groups. Pearson correlation coefficient was used to quantify the correlation between ADC values and prognostic factors.
resultsLower grade (grade I) breast carcinoma had a significantly high ADC value as compared to higher grade carcinoma (grade II and III). For differentiating Grade I tumors from grade II and III, a minimum ADC cut-off value was 0.79 × 10-3 mm
conclusionADC values can be used to differentiate lower grade breast carcinoma (grade I) from higher grades (grade II and III). Minimum ADC values are more accurate in predicting the grade of the breast tumor than mean ADC value.
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