{"title":"Radiomics for differential diagnosis of ischemic and dilated cardiomyopathy using non-contrast-enhanced cine cardiac magnetic resonance imaging.","authors":"Jaravee Lasode, Warath Chantaksinopas, Sararas Khongwirotphan, Pairoj Chattranukulchai, Yongkasem Vorasettakarnkij, Sira Sriswasdi, Monravee Tumkosit, Yothin Rakvongthai","doi":"10.1007/s11547-025-01979-z","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Our study investigated the effectiveness of using radiomics and non-gadolinium cine cardiac magnetic resonance (CMR) imaging for differential diagnosis between ischemic and dilated cardiomyopathy (ICM vs. DCM) and detecting myocardial scar without relying on gadolinium-based contrast agents.</p><p><strong>Materials and methods: </strong>We retrospectively enrolled 200 patients with age <math><mo>≥</mo></math> 18 who were diagnosed with ICM and DCM, both with and without myocardial scars, and had complete short-axis cine CMR images without artifacts over the heart area. Radiomic features were extracted from the myocardium and blood pools in short-axis cine CMR images. Feature selection was performed using intraclass correlation coefficient and recursive feature elimination with cross-validation (RFECV). Multivariate analysis with logistic regression was utilized to construct 3 radiomic models (ICM vs DCM, Scar vs NoScar in ICM and in DCM). Model performance was evaluated using area under the receiver operating characteristic (ROC) curve (AUC) and compared with radiologist's performance using cine CMR images.</p><p><strong>Results: </strong>For each of the three models, 21, 14, and 19 radiomic features were selected. The AUC values of each model were 0.964 ± 0.008, 0.989 ± 0.004, and 0.996 ± 0.004, respectively, in the training set and 0.918 ± 0.040, 0.955 ± 0.045, and 0.935 ± 0.052, respectively, in the test set (p < 0.0001). The radiomic models outperformed the radiologist as shown by the ROC curve.</p><p><strong>Conclusions: </strong>Radiomics showed promise in differentiating between ICM and DCM and detecting myocardial scar with cine CMR images, which offered an alternative for ICM and DCM differentiation in patients with gadolinium contraindication.</p>","PeriodicalId":20817,"journal":{"name":"Radiologia Medica","volume":" ","pages":"650-661"},"PeriodicalIF":9.7000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiologia Medica","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11547-025-01979-z","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/10 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: Our study investigated the effectiveness of using radiomics and non-gadolinium cine cardiac magnetic resonance (CMR) imaging for differential diagnosis between ischemic and dilated cardiomyopathy (ICM vs. DCM) and detecting myocardial scar without relying on gadolinium-based contrast agents.
Materials and methods: We retrospectively enrolled 200 patients with age 18 who were diagnosed with ICM and DCM, both with and without myocardial scars, and had complete short-axis cine CMR images without artifacts over the heart area. Radiomic features were extracted from the myocardium and blood pools in short-axis cine CMR images. Feature selection was performed using intraclass correlation coefficient and recursive feature elimination with cross-validation (RFECV). Multivariate analysis with logistic regression was utilized to construct 3 radiomic models (ICM vs DCM, Scar vs NoScar in ICM and in DCM). Model performance was evaluated using area under the receiver operating characteristic (ROC) curve (AUC) and compared with radiologist's performance using cine CMR images.
Results: For each of the three models, 21, 14, and 19 radiomic features were selected. The AUC values of each model were 0.964 ± 0.008, 0.989 ± 0.004, and 0.996 ± 0.004, respectively, in the training set and 0.918 ± 0.040, 0.955 ± 0.045, and 0.935 ± 0.052, respectively, in the test set (p < 0.0001). The radiomic models outperformed the radiologist as shown by the ROC curve.
Conclusions: Radiomics showed promise in differentiating between ICM and DCM and detecting myocardial scar with cine CMR images, which offered an alternative for ICM and DCM differentiation in patients with gadolinium contraindication.
目的:本研究探讨放射组学和非钆电影心脏磁共振(CMR)成像在不依赖钆造影剂的情况下鉴别缺血性和扩张型心肌病(ICM vs. DCM)和心肌瘢痕检测中的有效性。材料和方法:我们回顾性招募了200例年龄≥18岁的ICM和DCM患者,有或没有心肌疤痕,并有完整的心脏区域无伪影的短轴CMR图像。从短轴CMR图像中提取心肌和血池的放射学特征。使用类内相关系数和递归交叉验证特征消除(RFECV)进行特征选择。采用logistic回归多因素分析构建3个放射学模型(ICM vs DCM, ICM和DCM的Scar vs NoScar)。使用受试者工作特征(ROC)曲线下面积(AUC)评估模型的性能,并与放射科医生使用电影CMR图像的性能进行比较。结果:三种模型分别选择21、14和19个放射学特征。各模型的AUC在训练集分别为0.964±0.008、0.989±0.004、0.996±0.004,在测试集分别为0.918±0.040、0.955±0.045、0.935±0.052 (p)。结论:放射组学在鉴别ICM与DCM及CMR影像检测心肌瘢痕方面有良好的应用价值,为钆禁忌症患者鉴别ICM与DCM提供了一种替代方法。
期刊介绍:
Felice Perussia founded La radiologia medica in 1914. It is a peer-reviewed journal and serves as the official journal of the Italian Society of Medical and Interventional Radiology (SIRM). The primary purpose of the journal is to disseminate information related to Radiology, especially advancements in diagnostic imaging and related disciplines. La radiologia medica welcomes original research on both fundamental and clinical aspects of modern radiology, with a particular focus on diagnostic and interventional imaging techniques. It also covers topics such as radiotherapy, nuclear medicine, radiobiology, health physics, and artificial intelligence in the context of clinical implications. The journal includes various types of contributions such as original articles, review articles, editorials, short reports, and letters to the editor. With an esteemed Editorial Board and a selection of insightful reports, the journal is an indispensable resource for radiologists and professionals in related fields. Ultimately, La radiologia medica aims to serve as a platform for international collaboration and knowledge sharing within the radiological community.