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Efficacy of high-resolution, 3-D diffusion-weighted imaging in the detection of breast cancer compared to dynamic contrastenhanced magnetic resonance imaging
breast cancer
DCE-MRI
breast MRI
diagnostic technique
diffusion weighted
screening
Bibliogr. s. e285-e286
Purpose: To evaluate the utility of high-resolution, 3-D diffusion-weighted imaging (DWI) in the detection of breast cancer and to compare the sensitivity, specificity, and area under the curves of DWI and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Material and method: Prospective IEC approved study included 131 breast lesions detected on mammography and breast ultrasound. Cases underwent MRI on a 3 Tesla scanner using a dedicated breast coil. T2WI, STIR, T1WI, and dynamic post contrast MR. DWI MRI with b value of 50, 800, and 1500 s/mm2. Post-processing data with apparent diffusion coefficient (ADC) calculations and kinetic curves were obtained. Characteristics for lesions were analysed as per ACR BI-RADS descriptors. Final histopathological diagnosis was considered as the standard of reference. c2 test, t-test, receiver operating characteristic (ROC) curve analysis, pairwise comparison of ROC curves, sensitivity, specificity, diagnostic accuracy, and area under the curve (AUC) were calculated. Results: Sixty-six (50.38%) malignant and 65 (59.62%) benign lesions were included in the study. The mean ADC of malignant lesions was 0.870 × 10-3 mm2/s and 1.637 × 10-3 mm2/s (p < 0.0001) for benign lesions. Sensitivity and specificity for DWI were 95.45% and 90.76%, respectively, and for DCE-MRI they were 96.97% and 87.69%, respectively. Positive predictive value (PPV) and negative predictive value (NPV) were obtained at 91.30% and 95.16%, respectively, in DWI while in DCE-MRI they were 88.88% and 96.61%, respectively. The AUC for ADC was 0.979. In ROC comparison of AUC for DWI 0.931 and for DCE-MRI 0.923, the difference between the areas was 0.00781 (p = 0.782). Conclusions: High-resolution DWI is a non-contrast MRI technique, which improves the lesion detection with diagnostic performance comparable to DCE-MRI and has potential as an adjunct with screening mammography.
cris.lastimport.wos | 2024-04-09T18:07:16Z | |
dc.abstract.en | Purpose: To evaluate the utility of high-resolution, 3-D diffusion-weighted imaging (DWI) in the detection of breast cancer and to compare the sensitivity, specificity, and area under the curves of DWI and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Material and method: Prospective IEC approved study included 131 breast lesions detected on mammography and breast ultrasound. Cases underwent MRI on a 3 Tesla scanner using a dedicated breast coil. T2WI, STIR, T1WI, and dynamic post contrast MR. DWI MRI with b value of 50, 800, and 1500 s/mm2. Post-processing data with apparent diffusion coefficient (ADC) calculations and kinetic curves were obtained. Characteristics for lesions were analysed as per ACR BI-RADS descriptors. Final histopathological diagnosis was considered as the standard of reference. c2 test, t-test, receiver operating characteristic (ROC) curve analysis, pairwise comparison of ROC curves, sensitivity, specificity, diagnostic accuracy, and area under the curve (AUC) were calculated. Results: Sixty-six (50.38%) malignant and 65 (59.62%) benign lesions were included in the study. The mean ADC of malignant lesions was 0.870 × 10-3 mm2/s and 1.637 × 10-3 mm2/s (p < 0.0001) for benign lesions. Sensitivity and specificity for DWI were 95.45% and 90.76%, respectively, and for DCE-MRI they were 96.97% and 87.69%, respectively. Positive predictive value (PPV) and negative predictive value (NPV) were obtained at 91.30% and 95.16%, respectively, in DWI while in DCE-MRI they were 88.88% and 96.61%, respectively. The AUC for ADC was 0.979. In ROC comparison of AUC for DWI 0.931 and for DCE-MRI 0.923, the difference between the areas was 0.00781 (p = 0.782). Conclusions: High-resolution DWI is a non-contrast MRI technique, which improves the lesion detection with diagnostic performance comparable to DCE-MRI and has potential as an adjunct with screening mammography. | pl |
dc.contributor.author | Yadav, Pratiksha | pl |
dc.contributor.author | Harit, Saumya | pl |
dc.contributor.author | Kumar, Dileep | pl |
dc.date.accessioned | 2021-05-31T14:21:20Z | |
dc.date.available | 2021-05-31T14:21:20Z | |
dc.date.issued | 2021 | pl |
dc.date.openaccess | 0 | |
dc.description.accesstime | w momencie opublikowania | |
dc.description.additional | Bibliogr. s. e285-e286 | pl |
dc.description.physical | e277-e286 | pl |
dc.description.version | ostateczna wersja wydawcy | |
dc.description.volume | 86 | pl |
dc.identifier.doi | 10.5114/pjr.2021.106207 | pl |
dc.identifier.eissn | 1899-0967 | pl |
dc.identifier.issn | 1733-134X | pl |
dc.identifier.uri | https://ruj.uj.edu.pl/xmlui/handle/item/271990 | |
dc.language | eng | pl |
dc.language.container | eng | pl |
dc.rights | Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa | * |
dc.rights.licence | CC-BY-NC-ND | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl | * |
dc.share.type | otwarte czasopismo | |
dc.subject.en | breast cancer | pl |
dc.subject.en | DCE-MRI | pl |
dc.subject.en | breast MRI | pl |
dc.subject.en | diagnostic technique | pl |
dc.subject.en | diffusion weighted | pl |
dc.subject.en | screening | pl |
dc.subtype | Article | pl |
dc.title | Efficacy of high-resolution, 3-D diffusion-weighted imaging in the detection of breast cancer compared to dynamic contrastenhanced magnetic resonance imaging | pl |
dc.title.journal | Polish Journal of Radiology | pl |
dc.type | JournalArticle | pl |
dspace.entity.type | Publication |
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