{"title":"先进的磁共振成像模式诊断乳腺癌:最近的发现和观点综述。","authors":"Daryoush Shahbazi-Gahrouei, Fahimeh Aminolroayaei, Hamide Nematollahi, Mohammad Ghaderian, Sogand Shahbazi Gahrouei","doi":"10.3390/diagnostics12112741","DOIUrl":null,"url":null,"abstract":"<p><p>Breast cancer is the most prevalent cancer among women and the leading cause of death. Diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) are advanced magnetic resonance imaging (MRI) procedures that are widely used in the diagnostic and treatment evaluation of breast cancer. This review article describes the characteristics of new MRI methods and reviews recent findings on breast cancer diagnosis. This review study was performed on the literature sourced from scientific citation websites such as Google Scholar, PubMed, and Web of Science until July 2021. All relevant works published on the mentioned scientific citation websites were investigated. Because of the propensity of malignancies to limit diffusion, DWI can improve MRI diagnostic specificity. Diffusion tensor imaging gives additional information about diffusion directionality and anisotropy over traditional DWI. Recent findings showed that DWI and DTI and their characteristics may facilitate earlier and more accurate diagnosis, followed by better treatment. Overall, with the development of instruments and novel MRI modalities, it may be possible to diagnose breast cancer more effectively in the early stages.</p>","PeriodicalId":520604,"journal":{"name":"Diagnostics (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689118/pdf/","citationCount":"4","resultStr":"{\"title\":\"Advanced Magnetic Resonance Imaging Modalities for Breast Cancer Diagnosis: An Overview of Recent Findings and Perspectives.\",\"authors\":\"Daryoush Shahbazi-Gahrouei, Fahimeh Aminolroayaei, Hamide Nematollahi, Mohammad Ghaderian, Sogand Shahbazi Gahrouei\",\"doi\":\"10.3390/diagnostics12112741\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Breast cancer is the most prevalent cancer among women and the leading cause of death. Diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) are advanced magnetic resonance imaging (MRI) procedures that are widely used in the diagnostic and treatment evaluation of breast cancer. This review article describes the characteristics of new MRI methods and reviews recent findings on breast cancer diagnosis. This review study was performed on the literature sourced from scientific citation websites such as Google Scholar, PubMed, and Web of Science until July 2021. All relevant works published on the mentioned scientific citation websites were investigated. Because of the propensity of malignancies to limit diffusion, DWI can improve MRI diagnostic specificity. Diffusion tensor imaging gives additional information about diffusion directionality and anisotropy over traditional DWI. Recent findings showed that DWI and DTI and their characteristics may facilitate earlier and more accurate diagnosis, followed by better treatment. Overall, with the development of instruments and novel MRI modalities, it may be possible to diagnose breast cancer more effectively in the early stages.</p>\",\"PeriodicalId\":520604,\"journal\":{\"name\":\"Diagnostics (Basel, Switzerland)\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689118/pdf/\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Diagnostics (Basel, Switzerland)\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3390/diagnostics12112741\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diagnostics (Basel, Switzerland)","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3390/diagnostics12112741","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
摘要
乳腺癌是妇女中最常见的癌症,也是导致死亡的主要原因。弥散加权成像(DWI)和弥散张量成像(DTI)是先进的磁共振成像(MRI)技术,广泛应用于乳腺癌的诊断和治疗评估。这篇综述文章介绍了新的MRI方法的特点,并回顾了乳腺癌诊断的最新发现。本综述研究的文献来源为截至2021年7月的科学引文网站,如Google Scholar、PubMed和Web of Science。对上述科学引文网站上发表的所有相关文献进行调查。由于恶性肿瘤倾向于限制扩散,DWI可以提高MRI诊断的特异性。与传统的DWI相比,扩散张量成像提供了关于扩散方向性和各向异性的额外信息。最近的研究结果表明,DWI和DTI及其特征可能有助于早期和更准确的诊断,随后更好的治疗。总的来说,随着仪器和新型MRI模式的发展,可能在早期阶段更有效地诊断乳腺癌。
Advanced Magnetic Resonance Imaging Modalities for Breast Cancer Diagnosis: An Overview of Recent Findings and Perspectives.
Breast cancer is the most prevalent cancer among women and the leading cause of death. Diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) are advanced magnetic resonance imaging (MRI) procedures that are widely used in the diagnostic and treatment evaluation of breast cancer. This review article describes the characteristics of new MRI methods and reviews recent findings on breast cancer diagnosis. This review study was performed on the literature sourced from scientific citation websites such as Google Scholar, PubMed, and Web of Science until July 2021. All relevant works published on the mentioned scientific citation websites were investigated. Because of the propensity of malignancies to limit diffusion, DWI can improve MRI diagnostic specificity. Diffusion tensor imaging gives additional information about diffusion directionality and anisotropy over traditional DWI. Recent findings showed that DWI and DTI and their characteristics may facilitate earlier and more accurate diagnosis, followed by better treatment. Overall, with the development of instruments and novel MRI modalities, it may be possible to diagnose breast cancer more effectively in the early stages.