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在骨质减少患者的CT扫描中检测骨髓多发性骨髓瘤浸润:放射组学分析的可行性

Detecting Multiple Myeloma Infiltration of the Bone Marrow on CT Scans in Patients with Osteopenia: Feasibility of Radiomics Analysis.

作者信息

Park Hyerim, Lee So-Yeon, Lee Jooyeon, Pak Juyoung, Lee Koeun, Lee Seung-Eun, Jung Joon-Yong

机构信息

Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.

Department of Radiology, Soonchunhyang University Cheoan Hospital, Cheonan 31151, Korea.

出版信息

Diagnostics (Basel). 2022 Apr 7;12(4):923. doi: 10.3390/diagnostics12040923.

Abstract

It is difficult to detect multiple myeloma (MM) infiltration of the bone marrow on computed tomography (CT) scans of patients with osteopenia. Our aim is to determine the feasibility of using radiomics analysis to detect MM infiltration of the bone marrow on CT scans of patients with osteopenia. The contrast-enhanced thoracic CT scans of 104 patients with MM and 104 age- and sex-matched controls were retrospectively evaluated. All individuals had decreased bone density on radiography. The study group was divided into development (n = 160) and temporal validation sets (n = 48). The radiomics model was developed using 805 texture features extracted from the bone marrow for a development set, using a Random Forest algorithm. The developed models were applied to evaluate a temporal validation set. For comparison, three radiologists evaluated the CTs for the possibility of MM infiltration in the bone marrow. The diagnostic performances were assessed and compared using an area under the receiver operating characteristic curve (AUC) analysis. The AUC of the radiomics model was not significantly different from those of the radiologists ( = 0.056-0.821). The radiomics analysis results showed potential for detecting MM infiltration in the bone marrow on CT scans of patients with osteopenia.

摘要

在骨质减少患者的计算机断层扫描(CT)中,很难检测到骨髓的多发性骨髓瘤(MM)浸润。我们的目的是确定在骨质减少患者的CT扫描中使用放射组学分析检测骨髓MM浸润的可行性。回顾性评估了104例MM患者和104例年龄和性别匹配的对照者的胸部增强CT扫描。所有个体的X线片骨密度均降低。研究组分为开发集(n = 160)和时间验证集(n = 48)。使用随机森林算法,从发育集的骨髓中提取805个纹理特征,建立放射组学模型。将建立的模型应用于评估时间验证集。作为比较,三名放射科医生评估了CT上骨髓MM浸润的可能性。使用受试者操作特征曲线(AUC)分析下的面积评估和比较诊断性能。放射组学模型的AUC与放射科医生的AUC无显著差异(= 0.056 - 0.821)。放射组学分析结果显示,在骨质减少患者的CT扫描中检测骨髓MM浸润具有潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f53/9025143/c51c6ec60802/diagnostics-12-00923-g001.jpg

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