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Differentiation of giant cell tumours of bone, primary aneurysmal bone cysts, and aneurysmal bone cysts secondary to giant cell tumour of bone: using whole-tumour CT texture analysis parameters as quantitative biomarkers

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收录情况： ◇ SCIE

作者：
Wang J-Y[1] * ; Sun D[1] ; Liu C-Y[1] ; Hou B-W[1] ; Li Y-T[1] ; Hu S[1] ; Zhang Y[1] ; Morelli J N[2] ; Li X-M[1,*1] ;
单位： [1]Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China. [2]Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
出处：
DOI： 10.1016/j.crad.2023.03.004
ISSN：

摘要：
To determine whether computed tomography (CT) texture analysis parameters can be used as quantitative biomarkers to help differentiate giant cell tumour of bones (GCTs), primary aneurysmal bone cysts (PABCs), and aneurysmal bone cysts (ABCs) secondary to giant cell tumours of bone (GABCs).One hundred and seven patients with 63 GCTs, 31 PABCs, and 13 GABCs were analysed retrospectively. All patients underwent preoperative CT. Two radiologists independently evaluated the qualitative features of the CT images and extracted texture parameters. Patient demographics, qualitative features, and texture parameters among GCTs, PABCs, and GABCs were compared statistically. Differences in these parameters between ABCs and GCTs were also assessed. ROC curves were obtained to determine optimal parameter values.The best preoperative CT parameters to differentiate GCTs, PABCs, and GABCs included one qualitative feature (location around the knee) and four texture parameters (95th percentile, maximum intensity, skewness, and kurtosis). Age and three texture parameters (5th percentile, inhomogeneity, and kurtosis) enabled statistically significant differentiation between GCTs and ABCs. Combination of the above four parameters generated the largest area under the ROC curve (AUC) for the differentiation of GCTs and ABCs.CT texture analysis parameters can be used as quantitative biomarkers for preoperative differentiation among GCTs, PABCs, and GABCs.Copyright © 2023 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

基金：
National Natural Science Foundation of China (grant number: 81930045).
语种：
外文
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中科院(CAS)分区：
出版当年[2022]版：
大类 | 4 区 医学
小类 | 4 区 核医学
最新[2025]版：
大类 | 4 区 医学
小类 | 4 区 核医学
JCR分区：
出版当年[2021]版：
Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2023]版：
Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子： 最新[2023版] 最新五年平均 出版当年[2021版] 出版当年五年平均 出版前一年[2020版] 出版后一年[2022版]

第一作者：
第一作者单位： [1]Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
通讯作者：
通讯机构： [1]Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China. [*1]1095 Jiefang Avenue, Qiaokou District, Wuhan, Hubei Province, China
推荐引用方式(GB/T 7714)：
Wang J-Y,Sun D,Liu C-Y,et al.Differentiation of giant cell tumours of bone, primary aneurysmal bone cysts, and aneurysmal bone cysts secondary to giant cell tumour of bone: using whole-tumour CT texture analysis parameters as quantitative biomarkers[J].CLINICAL RADIOLOGY.2023,78(7):532-539.doi:10.1016/j.crad.2023.03.004.
APA：
Wang J-Y,Sun D,Liu C-Y,Hou B-W,Li Y-T...&Li X-M.(2023).Differentiation of giant cell tumours of bone, primary aneurysmal bone cysts, and aneurysmal bone cysts secondary to giant cell tumour of bone: using whole-tumour CT texture analysis parameters as quantitative biomarkers.CLINICAL RADIOLOGY,78,(7)
MLA：
Wang J-Y,et al."Differentiation of giant cell tumours of bone, primary aneurysmal bone cysts, and aneurysmal bone cysts secondary to giant cell tumour of bone: using whole-tumour CT texture analysis parameters as quantitative biomarkers".CLINICAL RADIOLOGY 78..7(2023):532-539

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