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This study evaluates how magnetic resonance imaging (MRI) radiomics features relate to the histologic grade of invasive ductal carcinoma (IDC) and whether they provide diagnostic value. Two conventional MRI quantitative indicators, ADC and initial enhancement rate, were combined with manually segmented radiomics features on DCE-MRI and ADC images, comparing Grades I–III in 112 patients.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/value-of-magnetic-resonance-imaging-radiomics-features-in-predicting-histologic-grade-of-invasive-ductal-carcinoma-of-the-breast/332066/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/value-of-magnetic-resonance-imaging-radiomics-features-in-predicting-histologic-grade-of-invasive-ductal-carcinoma-of-the-breast/332066.png","ImageObject",300,407,{"name":92,"@type":93},"Aurora","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-28","2026-09-21",true,{"@type":102,"interactionType":103,"userInteractionCount":34},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the goal of this study?","Question",{"text":112,"@type":113},"To investigate the relationship between MRI radiomics features and the histologic grade of invasive ductal carcinoma, and to evaluate diagnostic efficacy for grading.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Which MRI indicators and imaging data were used?",{"text":117,"@type":113},"ADC values from diffusion-weighted imaging and the initial enhancement rate from dynamic contrast-enhanced MRI were used, alongside radiomics features extracted after manual segmentation from DCE-MRI and ADC images.",{"name":119,"@type":110,"acceptedAnswer":120},"What did the results show about ADC and radiomics signatures?",{"text":121,"@type":113},"ADC-related radiomics signatures performed better than single ADC values and DCE radiomics signatures in identifying different IDC grades, with improved accuracy and predictive metrics.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},332066,1790490910,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":34,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":52,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":144},4810365810221,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","Technology and Health Care 32 (2024) 1609–1618 1609  \nDOI 10.3233/THC-230671 IOS Press  \nValue of magnetic resonance imaging radiomics features in predicting histologic grade of invasive ductal carcinoma of the breast  \nXin-Lei Yanga ; 1 , Dong-He Nib ; 1 , Yang Yuc , Jin-Cui Zhaoc , Rui Lina , Chao Xiuc ;􀀃 and Zhe-Xing Changa  \na Blood Tumor Treatment Center, Beihua University Affiliated Hospital, Jilin, China b Department of Radiology, Jilin Province Integrated Traditional Chinese and Western Medicine Hospital, Jilin, China  \nc Department of Radiology, Beihua University Affiliated Hospital, Jilin, China  \nReceived 25 May 2023 Accepted 10 August 2023  \nAbstract.  \nBACKGROUND: Breast cancer has the second highest mortality rate of all cancers and occurs mainly in women. OBJECTIVE: To investigate the relationship between magnetic resonance imaging (MRI) radiomics features and histological grade of invasive ductal carcinoma (IDC) of the breast and to evaluate its diagnostic efficacy.  \nMETHODS: The two conventional MRI quantitative indicators, i.e. the apparent diffusion coefficient (ADC) and the initial enhancement rate, were collected from 112 patients with breast cancer. The breast cancer lesions were manually segmented in dynamic contrast-enhanced MRI (DCE-MRI) and ADC images, the differences in radiomics features between Grades I, II and III IDCs were compared and the diagnostic efficacy was evaluated.  \nRESULTS: The ADC values (0 .77 􀀆 0.22 vs 0 .91 􀀆 0 .22 vs 0 .92 􀀆 0 .20, F = 4.204, p \u003C 0.01), as well as the B_sum_variance (188.51 􀀆 67.803 vs 265.37 􀀆 77.86 vs 263.74 􀀆 82.58, F = 6.040, p \u003C 0.01), L_energy (0.03 􀀆 0.02 vs 0.13 􀀆 0.11 vs 0.12 􀀆 0.14, F = 7.118, p \u003C 0.01) and L_sum_average (0.78 􀀆 0.32 vs 16.34 􀀆 4.23 vs 015.45 􀀆 3.74, F = 21.860, p \u003C 0.001) values of patients with Grade III IDC were significantly lower than those of patients with Grades I and II IDC. The B_uniform (0 .15 􀀆 0. 12 vs 0 .11 􀀆 0 .04 vs 0 . 12 􀀆 0 .03, F = 3.797, p \u003C 0.01) and L_SRE (0 .85 􀀆 0.07 vs 0 .78 􀀆 0.03 vs 0 .79 􀀆 0 .32, F = 3.024, p \u003C 0.01) values of patients with Grade III IDC were significantly higher than those of patients with Grades I and II IDC. All differences were statistically significant (p \u003C 0.05) . The ADC radiomics signature model had a higher area-under-the-curve value in identifying different grades of IDC than the ADC value model and the DCE radiomics signature model (0.869 vs 0.711 vs 0.682) . The accuracy (0.812 vs 0.647 vs 0.710), specificity (0.731 vs 0.435 vs 0.342), positive predictive value (0.815 vs 0.663 vs 0.669) and negative predictive value (0.753 vs 0.570 vs 0.718) of the ADC radiomics signature model were all significantly better than the ADC value model and the DCE radiomics signature model.  \nCONCLUSION: ADC values and breast MRI radiomics signatures are significant in identifying the histological grades of IDC, with the ADC radiomics signatures having greater value.  \nKeywords: Invasive ductal carcinoma, magnetic resonance imaging, radiomics, histological grading  \n1These authors contributed equally to this study.  \n􀀃 Corresponding author: Chao Xiu, Department of Radiology, Beihua University Affiliated Hospital, No. 12 Jiefang Middle Road, Chuanying District, Jilin 132000, China. Tel: +86 15143258448; E-mail: [xiu1941chao@163.com](xiu1941chao@163.com).  \n0928-7329 􀀍c 2024 – The authors. Published by IOS Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (CC BY-NC 4 .0) .  \n1610 X.-L. Yang et al. / The value of imageomics in tissue grading of breast cancer  \n1. Introduction  \nBreast cancer has the second highest mortality rate of all cancers and occurs mainly in women. Its incidence and mortality rate are expected to increase significantly in the coming years [1] . The most common pathological type of breast cancer in clinical practice is invasive ductal carcinoma (IDC) [2] . Studies have shown that IDC's histological grade is associated with","cbCaia7Nc0P8rszS","https://ap.wps.com/l/cbCaia7Nc0P8rszS","pdf",753245,"English","# Abstract\n# Introduction\n# Data and methods\n## Participants","[{\"question\":\"What is the goal of this study?\",\"answer\":\"To investigate the relationship between MRI radiomics features and the histologic grade of invasive ductal carcinoma, and to evaluate diagnostic efficacy for grading.\"},{\"question\":\"Which MRI indicators and imaging data were used?\",\"answer\":\"ADC values from diffusion-weighted imaging and the initial enhancement rate from dynamic contrast-enhanced MRI were used, alongside radiomics features extracted after manual segmentation from DCE-MRI and ADC images.\"},{\"question\":\"What did the results show about ADC and radiomics signatures?\",\"answer\":\"ADC-related radiomics signatures performed better than single ADC values and DCE radiomics signatures in identifying different IDC grades, with improved accuracy and predictive metrics.\"}]","Value of magnetic resonance imaging radiomics features in predicting histologic grade of invasive ductal carcinoma of the breast | PDF",1789996579,25]