Assessment of Repeatability, Reproducibility, and Performances of T2 Mapping-Based Radiomics Features: A Comparative Study

被引:14
|
作者
Crombe, Amandine [1 ,2 ,3 ]
Buy, Xavier [1 ]
Han, Fei [4 ]
Toupin, Solenn [5 ]
Kind, Michele [1 ]
机构
[1] Comprehens Canc Ctr Nouvelle Aquitaine, Inst Bergonie, Dept Oncol Imaging, Bordeaux, France
[2] Bordeaux Univ, Bordeaux, France
[3] INRIA Bordeaux Sud Ouest, Modelisat Oncol MOnc Team, CNRS, UMR 5251, Talence, France
[4] Siemens Med Solut USA, Los Angeles, CA USA
[5] Siemens Healthcare France, St Denis, France
关键词
magnetic resonance imaging; reproducibility of results; abdomen; volunteers; biomarkers; radiomics;
D O I
10.1002/jmri.27558
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Background Magnetic resonance imaging (MRI)-based radiomics features (RFs) quantify tumors radiological phenotypes but are sensitive to postprocessing parameters, including the intensity harmonization technique (IHT), while mappings enable objective quantitative assessment. Purpose To investigate whether T2 mapping could improve repeatability, reproducibility, and performances of radiomics compared to conventional T2-weighted imaging (T2WI). Study Type Prospective. Subjects Twenty-six healthy adults. Field Strength/Sequence Respiratory-trigged radial turbo spin echo (TSE) multiecho T2 mapping (prototype) and conventional TSE T2WI of the abdomen were acquired twice at 1.5 T. Assessment T2 maps were reconstructed using a two-parameter exponential fitting model. Volumes-of-interest (VOIs) were manually drawn in six tissues: liver, kidney, pancreas, muscle, bone, and spleen. After co-registration, conventional T2WIs were processed with two IHTs (standardization [std] and histogram-matching [HM]) resulting in four paired input image types: initial T2WI, T2WI(std), T2WI(HM), and T2-map. VOIs were propagated to extract 45 RFs from MRI-1 and MRI-2 of each image type (LIFEx, v5.10). Statistical Tests Influence of the input data type on RF values was evaluated with analysis of variance. RFs test-retest repeatability and reproducibility over multiple segmentations were evaluated with intra-class correlation coefficient (ICC). Correlations between k-means clusters and the six tissues depending on the RFs dataset were investigated with adjusted-Rand-index (ARI). Results About 41 of 45 (91.1%) RFs were significantly influenced by the input image type (P values < 0.05), which was the most influential factor on repeatability of RFs (P-value < 0.05). Repeatability ICCs from T2-map displayed intermediate values between the initial T2WI (range: 0.407-0.736) and the T2WI(HM) (range: 0.724-0.817). The number of RFs with interobserver and intraobserver reproducibility ICCs >= 0.90 was 37/45 (82.2%) for T2WI(HM), 33/45 (73.3%) for T2WI(std), 31/45 (68.9%) for T2 map, and 25/45 (55.6%) for the initial T2WI. T2 map provided the best tissue discrimination (ARI = 0.414 vs. 0.157 with T2WI(HM)). Data Conclusion T2 mapping provided RFs with moderate to substantial repeatability and reproducibility ICCs, along with the most preserved discriminative information. Level of Evidence 1 Technical Efficacy 1
引用
收藏
页码:537 / 548
页数:12
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