{"title":"基底神经节铁沉积的栖息地分析诊断慢性肾脏疾病的认知障碍:来自病例对照研究的证据","authors":"Hao Wang, Yu Qi, Xu Liu, Li-Jun Song, Wen-Bo Yang, Ming-An Li, Xiao-Yan Bai, Mao-Sheng Xu, Hao-Nan Zhu, Si-Qing Cai, Yi Wang, Zheng-Han Yang, Yuan-Zhe Li, Zhen-Chang Wang, Yi-Fan Guo","doi":"10.1186/s12880-025-01656-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Chronic kidney disease induces alterations in the heterogeneity of iron deposition within the basal ganglia. Quantitative analysis of the heterogeneity of iron deposition within the basal ganglia may be valuable for diagnosing chronic kidney disease-related cognitive impairment.</p><p><strong>Methods: </strong>In this prospective observational cohort study, quantitative susceptibility mapping (QSM) was performed in chronic kidney disease patients. Susceptibility values of each nucleus within the basal ganglia were measured. Radiomic features were extracted from habitats of the basal ganglia on QSM images. Habitat-based models for diagnosing cognitive impairment were constructed using the random forest algorithm. Logistic regression was employed to build the clinical model and the combined model. The performance of each model was evaluated by the receiver operating characteristic (ROC) analysis.</p><p><strong>Results: </strong>A total of 146 patients (mean age, 51 ± 13 years; 92 male) were included, of which 79 had cognitive impairment. The two habitats-based model achieved an area under the curve of 0.926 (95% CI 0.842-1.000) on the test set, the highest among all prediction models. The two-habitat maps indicated that chronic kidney disease had two distinct patterns of impact on iron deposition in the basal ganglia region. The capability of the two habitats-based model to identify chronic kidney disease-related cognitive impairment was significantly superior to that of the susceptibility values measured in various nuclei (all p < 0.05).</p><p><strong>Conclusions: </strong>This study innovatively applied a habitat-based quantitative analysis technique to QSM, successfully constructing a model that accurately diagnoses chronic kidney disease-related cognitive impairment.</p><p><strong>Trial registration: </strong>This study was approved by the Beijing Friendship Hospital Ethics Board (ClinicalTrials.gov Identifier: NCTO5137470) and conducted in accordance with the Declaration of Helsinki ethical standards.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"113"},"PeriodicalIF":2.9000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Habitat analysis of iron deposition in the basal ganglia for diagnosing cognitive impairment in chronic kidney disease: evidence from a case-control study.\",\"authors\":\"Hao Wang, Yu Qi, Xu Liu, Li-Jun Song, Wen-Bo Yang, Ming-An Li, Xiao-Yan Bai, Mao-Sheng Xu, Hao-Nan Zhu, Si-Qing Cai, Yi Wang, Zheng-Han Yang, Yuan-Zhe Li, Zhen-Chang Wang, Yi-Fan Guo\",\"doi\":\"10.1186/s12880-025-01656-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Chronic kidney disease induces alterations in the heterogeneity of iron deposition within the basal ganglia. Quantitative analysis of the heterogeneity of iron deposition within the basal ganglia may be valuable for diagnosing chronic kidney disease-related cognitive impairment.</p><p><strong>Methods: </strong>In this prospective observational cohort study, quantitative susceptibility mapping (QSM) was performed in chronic kidney disease patients. Susceptibility values of each nucleus within the basal ganglia were measured. Radiomic features were extracted from habitats of the basal ganglia on QSM images. Habitat-based models for diagnosing cognitive impairment were constructed using the random forest algorithm. Logistic regression was employed to build the clinical model and the combined model. The performance of each model was evaluated by the receiver operating characteristic (ROC) analysis.</p><p><strong>Results: </strong>A total of 146 patients (mean age, 51 ± 13 years; 92 male) were included, of which 79 had cognitive impairment. The two habitats-based model achieved an area under the curve of 0.926 (95% CI 0.842-1.000) on the test set, the highest among all prediction models. The two-habitat maps indicated that chronic kidney disease had two distinct patterns of impact on iron deposition in the basal ganglia region. 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引用次数: 0
摘要
背景:慢性肾脏疾病引起基底神经节内铁沉积异质性的改变。定量分析基底神经节内铁沉积的异质性可能对诊断慢性肾脏疾病相关的认知障碍有价值。方法:在这项前瞻性观察队列研究中,对慢性肾脏疾病患者进行定量易感性制图(QSM)。测定基底神经节内各核的敏感性值。在QSM图像上提取基底神经节栖息地的放射学特征。采用随机森林算法构建了基于生境的认知障碍诊断模型。采用Logistic回归建立临床模型和联合模型。采用受试者工作特征(ROC)分析评价各模型的疗效。结果:共146例患者(平均年龄51±13岁;92例(男性),其中79例有认知障碍。两种基于栖息地的模型在测试集上的曲线下面积为0.926 (95% CI 0.842-1.000),是所有预测模型中最高的。双栖图显示慢性肾脏病对基底神经节区铁沉积有两种不同的影响模式。结论:本研究创新性地将基于栖息地的定量分析技术应用于QSM,成功构建了一个能够准确诊断慢性肾脏疾病相关认知障碍的模型。试验注册:本研究经北京友谊医院伦理委员会(ClinicalTrials.gov识别码:NCTO5137470)批准,并按照《赫尔辛基伦理标准宣言》进行。
Habitat analysis of iron deposition in the basal ganglia for diagnosing cognitive impairment in chronic kidney disease: evidence from a case-control study.
Background: Chronic kidney disease induces alterations in the heterogeneity of iron deposition within the basal ganglia. Quantitative analysis of the heterogeneity of iron deposition within the basal ganglia may be valuable for diagnosing chronic kidney disease-related cognitive impairment.
Methods: In this prospective observational cohort study, quantitative susceptibility mapping (QSM) was performed in chronic kidney disease patients. Susceptibility values of each nucleus within the basal ganglia were measured. Radiomic features were extracted from habitats of the basal ganglia on QSM images. Habitat-based models for diagnosing cognitive impairment were constructed using the random forest algorithm. Logistic regression was employed to build the clinical model and the combined model. The performance of each model was evaluated by the receiver operating characteristic (ROC) analysis.
Results: A total of 146 patients (mean age, 51 ± 13 years; 92 male) were included, of which 79 had cognitive impairment. The two habitats-based model achieved an area under the curve of 0.926 (95% CI 0.842-1.000) on the test set, the highest among all prediction models. The two-habitat maps indicated that chronic kidney disease had two distinct patterns of impact on iron deposition in the basal ganglia region. The capability of the two habitats-based model to identify chronic kidney disease-related cognitive impairment was significantly superior to that of the susceptibility values measured in various nuclei (all p < 0.05).
Conclusions: This study innovatively applied a habitat-based quantitative analysis technique to QSM, successfully constructing a model that accurately diagnoses chronic kidney disease-related cognitive impairment.
Trial registration: This study was approved by the Beijing Friendship Hospital Ethics Board (ClinicalTrials.gov Identifier: NCTO5137470) and conducted in accordance with the Declaration of Helsinki ethical standards.
期刊介绍:
BMC Medical Imaging is an open access journal publishing original peer-reviewed research articles in the development, evaluation, and use of imaging techniques and image processing tools to diagnose and manage disease.