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Feasibility Study of Synthetic Diffusion-Weighted MRI in Patients with Breast Cancer in Comparison with Conventional Diffusion-Weighted MRI

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dc.contributor.authorChoi, Bo Hwa-
dc.contributor.authorBaek, Hye Jin-
dc.contributor.authorHa, Ji Young-
dc.contributor.authorRyu, Kyeong Hwa-
dc.contributor.authorMoon, Jin Il-
dc.contributor.authorPark, Sung Eun-
dc.contributor.authorBae, Kyungsoo-
dc.contributor.authorJeon, Kyung Nyeo-
dc.contributor.authorJung, Eun Jung-
dc.date.accessioned2022-12-26T12:31:28Z-
dc.date.available2022-12-26T12:31:28Z-
dc.date.issued2020-09-
dc.identifier.issn1229-6929-
dc.identifier.issn2005-8330-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/6249-
dc.description.abstractObjective: To investigate the clinical feasibility of synthetic diffusion-weighted imaging (sDWI) at different b-values in patients with breast cancer by assessing the diagnostic image quality and the quantitative measurements compared with conventional diffusion-weighted imaging (cDWI). Materials and Methods: Fifty patients with breast cancer were assessed using cDWI at b-values of 800 and 1500 s/mm(2) (cDWI(800) and cDWI(1500)) and sDWI at b-values of 1000 and 1500 s/mm(2) (sDWI(1000) and sDWI(1500)). Qualitative analysis (normal glandular tissue suppression, overall image quality, and lesion conspicuity) was performed using a 4-point Likert-scale for all DWI sets and the cancer detection rate (CDR) was calculated. We also evaluated cancer-to-parenchyma contrast ratios for each DWI set in 45 patients with the lesion identified on any of the DWI sets. Statistical comparisons were performed using Friedman test, one-way analysis of variance, and Cochran's Q test. Results: All parameters of qualitative analysis, cancer-to-parenchyma contrast ratios, and CDR increased with increasing b-values, regardless of the type of imaging (synthetic or conventional) (p < 0.001). Additionally, sDWI(1500) provided better lesion conspicuity than cDWI(1500) (3.52 +/- 0.92 vs. 3.39 +/- 0.90, p < 0.05). Although cDWI(1500) showed better normal glandular tissue suppression and overall image quality than sDWI(1500) (3.66 +/- 0.78 and 3.73 +/- 0.62 vs. 3.32 +/- 0.90 and 3.35 +/- 0.81, respectively; p < 0.05), there was no significant difference in their CDR (90.0%). Cancer-to-parenchyma contrast ratios were greater in sDWI(1500) than in cDWI1500 (0.63 +/- 0.17 vs. 0.55 +/- 0.18, p < 0.001). Conclusion: sDWI(1500) can be feasible for evaluating breast cancers in clinical practice. It provides higher tumor conspicuity, better cancer-to-parenchyma contrast ratio, and comparable CDR when compared with cDWI(1500).-
dc.format.extent9-
dc.language영어-
dc.language.isoENG-
dc.publisher대한영상의학회-
dc.titleFeasibility Study of Synthetic Diffusion-Weighted MRI in Patients with Breast Cancer in Comparison with Conventional Diffusion-Weighted MRI-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.3348/kjr.2019.0568-
dc.identifier.scopusid2-s2.0-85088448897-
dc.identifier.wosid000550662500002-
dc.identifier.bibliographicCitationKorean Journal of Radiology, v.21, no.9, pp 1036 - 1044-
dc.citation.titleKorean Journal of Radiology-
dc.citation.volume21-
dc.citation.number9-
dc.citation.startPage1036-
dc.citation.endPage1044-
dc.type.docTypeArticle-
dc.identifier.kciidART002614554-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.subject.keywordPlusECHO DIXON TECHNIQUE-
dc.subject.keywordPlusB-VALUE-
dc.subject.keywordPlusPROSTATE-
dc.subject.keywordPlusCOEFFICIENT-
dc.subject.keywordPlusAGREEMENT-
dc.subject.keywordPlusCONTRAST-
dc.subject.keywordPlusS/MM(2)-
dc.subject.keywordPlusIMAGES-
dc.subject.keywordPlusKAPPA-
dc.subject.keywordPlus3D-
dc.subject.keywordAuthorBreast cancer-
dc.subject.keywordAuthorb-value-
dc.subject.keywordAuthorDiffusion-weighted imaging-
dc.subject.keywordAuthorMRI-
dc.subject.keywordAuthorSynthetic MRI-
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