Chenao Zhan, Dazhong Tang, Lu Huang, Yayuan Geng, T. Ai, L. Xia
{"title":"原生T1影像对左心室肥厚病因鉴别诊断的放射组学分析","authors":"Chenao Zhan, Dazhong Tang, Lu Huang, Yayuan Geng, T. Ai, L. Xia","doi":"10.5812/iranjradiol.113335","DOIUrl":null,"url":null,"abstract":"Background: The clinical manifestations of amyloid cardiomyopathy (AC) are not specific; therefore, AC is often misdiagnosed as hypertrophic cardiomyopathy (HCM) or hypertensive heart disease (HHD). A differential diagnosis of these three conditions is often necessary in the clinical setting. Objectives: To investigate the differential diagnostic performance of radiomic analysis, based on cardiac magnetic resonance (CMR) native T1 mapping images for the left ventricular hypertrophy (LVH) etiologies. Methods: This retrospective, case-control study was conducted on 91 participants (68 males and 23 females; mean age: 48 ± 13 years), including 22 patients with HHD, 27 patients with AC, 28 patients with HCM, and 14 controls in Tongji Hospital (Shanghai, China). All participants underwent 3.0T CMR imaging. Besides, radiomic analyses were performed using T1 mapping images. The cases were divided into training and test datasets using a random seed. Next, the models were constructed with the training dataset and evaluated with the test dataset. Results: A total of 1,033 radiomic features were extracted in this study. Overall, 11, 28, 19, and eight features were selected to construct the basal T1 mapping, mid-chamber T1 mapping, apical T1 mapping, and multi-module conjoint models, respectively. Optimal performance was reported in the mid-chamber and basal T1 mapping models. The area under the curve (AUC), precision, recall, and F1 score were 0.96, 0.84, 0.82, and 0.83 for the mid-chamber T1 mapping model and 0.96, 0.90, 0.89, and 0.88 for the basal T1 mapping model in the independent test dataset, respectively. The lowest diagnostic performance was observed in the apical T1 mapping model. The AUC, precision, recall, and F1 score of the apical T1 mapping model were 0.86, 0.71, 0.70, and 0.70 in the independent test dataset, respectively. Conclusions: The radiomic analysis of T1 mapping could accurately distinguish the three causes of myocardial hypertrophy, including HCM, HHD, and AC. It may be also a suitable alternative to late gadolinium enhancement-CMR.","PeriodicalId":50273,"journal":{"name":"Iranian Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":0.2000,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Radiomic Analysis of Native T1 Mapping Images for Differential Diagnosis of Left Ventricular Hypertrophy Etiologies\",\"authors\":\"Chenao Zhan, Dazhong Tang, Lu Huang, Yayuan Geng, T. Ai, L. Xia\",\"doi\":\"10.5812/iranjradiol.113335\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: The clinical manifestations of amyloid cardiomyopathy (AC) are not specific; therefore, AC is often misdiagnosed as hypertrophic cardiomyopathy (HCM) or hypertensive heart disease (HHD). A differential diagnosis of these three conditions is often necessary in the clinical setting. Objectives: To investigate the differential diagnostic performance of radiomic analysis, based on cardiac magnetic resonance (CMR) native T1 mapping images for the left ventricular hypertrophy (LVH) etiologies. Methods: This retrospective, case-control study was conducted on 91 participants (68 males and 23 females; mean age: 48 ± 13 years), including 22 patients with HHD, 27 patients with AC, 28 patients with HCM, and 14 controls in Tongji Hospital (Shanghai, China). All participants underwent 3.0T CMR imaging. Besides, radiomic analyses were performed using T1 mapping images. The cases were divided into training and test datasets using a random seed. Next, the models were constructed with the training dataset and evaluated with the test dataset. Results: A total of 1,033 radiomic features were extracted in this study. Overall, 11, 28, 19, and eight features were selected to construct the basal T1 mapping, mid-chamber T1 mapping, apical T1 mapping, and multi-module conjoint models, respectively. Optimal performance was reported in the mid-chamber and basal T1 mapping models. The area under the curve (AUC), precision, recall, and F1 score were 0.96, 0.84, 0.82, and 0.83 for the mid-chamber T1 mapping model and 0.96, 0.90, 0.89, and 0.88 for the basal T1 mapping model in the independent test dataset, respectively. The lowest diagnostic performance was observed in the apical T1 mapping model. The AUC, precision, recall, and F1 score of the apical T1 mapping model were 0.86, 0.71, 0.70, and 0.70 in the independent test dataset, respectively. Conclusions: The radiomic analysis of T1 mapping could accurately distinguish the three causes of myocardial hypertrophy, including HCM, HHD, and AC. It may be also a suitable alternative to late gadolinium enhancement-CMR.\",\"PeriodicalId\":50273,\"journal\":{\"name\":\"Iranian Journal of Radiology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2021-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Iranian Journal of Radiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.5812/iranjradiol.113335\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iranian Journal of Radiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5812/iranjradiol.113335","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Radiomic Analysis of Native T1 Mapping Images for Differential Diagnosis of Left Ventricular Hypertrophy Etiologies
Background: The clinical manifestations of amyloid cardiomyopathy (AC) are not specific; therefore, AC is often misdiagnosed as hypertrophic cardiomyopathy (HCM) or hypertensive heart disease (HHD). A differential diagnosis of these three conditions is often necessary in the clinical setting. Objectives: To investigate the differential diagnostic performance of radiomic analysis, based on cardiac magnetic resonance (CMR) native T1 mapping images for the left ventricular hypertrophy (LVH) etiologies. Methods: This retrospective, case-control study was conducted on 91 participants (68 males and 23 females; mean age: 48 ± 13 years), including 22 patients with HHD, 27 patients with AC, 28 patients with HCM, and 14 controls in Tongji Hospital (Shanghai, China). All participants underwent 3.0T CMR imaging. Besides, radiomic analyses were performed using T1 mapping images. The cases were divided into training and test datasets using a random seed. Next, the models were constructed with the training dataset and evaluated with the test dataset. Results: A total of 1,033 radiomic features were extracted in this study. Overall, 11, 28, 19, and eight features were selected to construct the basal T1 mapping, mid-chamber T1 mapping, apical T1 mapping, and multi-module conjoint models, respectively. Optimal performance was reported in the mid-chamber and basal T1 mapping models. The area under the curve (AUC), precision, recall, and F1 score were 0.96, 0.84, 0.82, and 0.83 for the mid-chamber T1 mapping model and 0.96, 0.90, 0.89, and 0.88 for the basal T1 mapping model in the independent test dataset, respectively. The lowest diagnostic performance was observed in the apical T1 mapping model. The AUC, precision, recall, and F1 score of the apical T1 mapping model were 0.86, 0.71, 0.70, and 0.70 in the independent test dataset, respectively. Conclusions: The radiomic analysis of T1 mapping could accurately distinguish the three causes of myocardial hypertrophy, including HCM, HHD, and AC. It may be also a suitable alternative to late gadolinium enhancement-CMR.
期刊介绍:
The Iranian Journal of Radiology is the official journal of Tehran University of Medical Sciences and the Iranian Society of Radiology. It is a scientific forum dedicated primarily to the topics relevant to radiology and allied sciences of the developing countries, which have been neglected or have received little attention in the Western medical literature.
This journal particularly welcomes manuscripts which deal with radiology and imaging from geographic regions wherein problems regarding economic, social, ethnic and cultural parameters affecting prevalence and course of the illness are taken into consideration.
The Iranian Journal of Radiology has been launched in order to interchange information in the field of radiology and other related scientific spheres. In accordance with the objective of developing the scientific ability of the radiological population and other related scientific fields, this journal publishes research articles, evidence-based review articles, and case reports focused on regional tropics.
Iranian Journal of Radiology operates in agreement with the below principles in compliance with continuous quality improvement:
1-Increasing the satisfaction of the readers, authors, staff, and co-workers.
2-Improving the scientific content and appearance of the journal.
3-Advancing the scientific validity of the journal both nationally and internationally.
Such basics are accomplished only by aggregative effort and reciprocity of the radiological population and related sciences, authorities, and staff of the journal.