{"title":"基于乳腺影像学报告和数据系统词汇描述符的DWI和T2WI 2型动态曲线乳腺病变形态学评估","authors":"Liying Zhang, Gongsheng Zhu, Kefan Wang, Tongzhen Zhang, Lin Lu, Xin Zhao","doi":"10.1155/tbj/9957678","DOIUrl":null,"url":null,"abstract":"<p><b>Purpose:</b> This study aimed to qualitatively assess the added diagnostic value of diffusion-weighted imaging (DWI) and T2-weighted imaging (T2WI), using Breast Imaging Reporting and Data System (BI-RADS) lexicon descriptors, in evaluating breast lesions with type 2 dynamic curves.</p><p><b>Materials and Methods:</b> We retrospectively reviewed 181 breast lesions with type 2 dynamic curves in 181 consecutive patients who underwent 3-Tesla (3-T) magnetic resonance imaging (MRI). Trained radiologists assessed the morphological features of the lesions on dynamic contrast-enhanced (DCE) MRI, DWI, and T2WI using BI-RADS lexicon descriptors and measured the apparent diffusion coefficient (ADC). Statistical analysis was performed to compare variables in lesion type groups (mass-like group vs. nonmass-like group). Diagnostic performance was evaluated using the area under the receiver operating characteristic curve (AUC) and the DeLong test, with statistical significance at <i>p</i> < 0.05.</p><p><b>Results:</b> In mass-like lesions, all morphological parameters significantly distinguished benign from malignant lesions on DCE, DWI, and T2WI (all <i>p</i> < 0.05). ADC values also showed significant differences (<i>p</i> < 0.05). The combined approach (DCE + DWI + T2WI) yielded the highest AUC (0.895), significantly outperforming the individual methods (all <i>p</i> < 0.05). In nonmass-like lesions, no parameter significantly predicted malignancy (all <i>p</i> > 0.05).</p><p><b>Conclusion:</b> The addition of DWI and T2WI, interpreted using the BI-RADS lexicon descriptors, enhances the differential diagnosis of breast lesions with type 2 dynamic curves.</p>","PeriodicalId":56326,"journal":{"name":"Breast Journal","volume":"2025 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/tbj/9957678","citationCount":"0","resultStr":"{\"title\":\"Morphological Assessment of Breast Lesions With Type 2 Dynamic Curves Using DWI and T2WI Based on Breast Imaging Reporting and Data System Lexicon Descriptors\",\"authors\":\"Liying Zhang, Gongsheng Zhu, Kefan Wang, Tongzhen Zhang, Lin Lu, Xin Zhao\",\"doi\":\"10.1155/tbj/9957678\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><b>Purpose:</b> This study aimed to qualitatively assess the added diagnostic value of diffusion-weighted imaging (DWI) and T2-weighted imaging (T2WI), using Breast Imaging Reporting and Data System (BI-RADS) lexicon descriptors, in evaluating breast lesions with type 2 dynamic curves.</p><p><b>Materials and Methods:</b> We retrospectively reviewed 181 breast lesions with type 2 dynamic curves in 181 consecutive patients who underwent 3-Tesla (3-T) magnetic resonance imaging (MRI). Trained radiologists assessed the morphological features of the lesions on dynamic contrast-enhanced (DCE) MRI, DWI, and T2WI using BI-RADS lexicon descriptors and measured the apparent diffusion coefficient (ADC). Statistical analysis was performed to compare variables in lesion type groups (mass-like group vs. nonmass-like group). Diagnostic performance was evaluated using the area under the receiver operating characteristic curve (AUC) and the DeLong test, with statistical significance at <i>p</i> < 0.05.</p><p><b>Results:</b> In mass-like lesions, all morphological parameters significantly distinguished benign from malignant lesions on DCE, DWI, and T2WI (all <i>p</i> < 0.05). ADC values also showed significant differences (<i>p</i> < 0.05). The combined approach (DCE + DWI + T2WI) yielded the highest AUC (0.895), significantly outperforming the individual methods (all <i>p</i> < 0.05). In nonmass-like lesions, no parameter significantly predicted malignancy (all <i>p</i> > 0.05).</p><p><b>Conclusion:</b> The addition of DWI and T2WI, interpreted using the BI-RADS lexicon descriptors, enhances the differential diagnosis of breast lesions with type 2 dynamic curves.</p>\",\"PeriodicalId\":56326,\"journal\":{\"name\":\"Breast Journal\",\"volume\":\"2025 1\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1155/tbj/9957678\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Breast Journal\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1155/tbj/9957678\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"OBSTETRICS & GYNECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Breast Journal","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/tbj/9957678","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
Morphological Assessment of Breast Lesions With Type 2 Dynamic Curves Using DWI and T2WI Based on Breast Imaging Reporting and Data System Lexicon Descriptors
Purpose: This study aimed to qualitatively assess the added diagnostic value of diffusion-weighted imaging (DWI) and T2-weighted imaging (T2WI), using Breast Imaging Reporting and Data System (BI-RADS) lexicon descriptors, in evaluating breast lesions with type 2 dynamic curves.
Materials and Methods: We retrospectively reviewed 181 breast lesions with type 2 dynamic curves in 181 consecutive patients who underwent 3-Tesla (3-T) magnetic resonance imaging (MRI). Trained radiologists assessed the morphological features of the lesions on dynamic contrast-enhanced (DCE) MRI, DWI, and T2WI using BI-RADS lexicon descriptors and measured the apparent diffusion coefficient (ADC). Statistical analysis was performed to compare variables in lesion type groups (mass-like group vs. nonmass-like group). Diagnostic performance was evaluated using the area under the receiver operating characteristic curve (AUC) and the DeLong test, with statistical significance at p < 0.05.
Results: In mass-like lesions, all morphological parameters significantly distinguished benign from malignant lesions on DCE, DWI, and T2WI (all p < 0.05). ADC values also showed significant differences (p < 0.05). The combined approach (DCE + DWI + T2WI) yielded the highest AUC (0.895), significantly outperforming the individual methods (all p < 0.05). In nonmass-like lesions, no parameter significantly predicted malignancy (all p > 0.05).
Conclusion: The addition of DWI and T2WI, interpreted using the BI-RADS lexicon descriptors, enhances the differential diagnosis of breast lesions with type 2 dynamic curves.
期刊介绍:
The Breast Journal is the first comprehensive, multidisciplinary source devoted exclusively to all facets of research, diagnosis, and treatment of breast disease. The Breast Journal encompasses the latest news and technologies from the many medical specialties concerned with breast disease care in order to address the disease within the context of an integrated breast health care. This editorial philosophy recognizes the special social, sexual, and psychological considerations that distinguish cancer, and breast cancer in particular, from other serious diseases. Topics specifically within the scope of The Breast Journal include:
Risk Factors
Prevention
Early Detection
Diagnosis and Therapy
Psychological Issues
Quality of Life
Biology of Breast Cancer.