One Size Fits All?-Not Anymore: Personalizing Breast Cancer Treatment with Use of a Semiautomated Functional Tumor Volume-based Predictive Model in the Assessment of Neoadjuvant Therapy Response.
{"title":"One Size Fits All?-Not Anymore: Personalizing Breast Cancer Treatment with Use of a Semiautomated Functional Tumor Volume-based Predictive Model in the Assessment of Neoadjuvant Therapy Response.","authors":"Shruthi Ram","doi":"10.1148/rycan.230089","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":null,"pages":null},"PeriodicalIF":5.6000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413299/pdf/rycan.230089.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiology. Imaging cancer","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1148/rycan.230089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}