Magnetic Resonance Elastography of Anterior Mediastinal Tumors

Author:

Zhou Lina1,Peng Qin23,Tang Wei1ORCID,Wu Ning1,Yang Lin4,Qi Linlin1,Li Jiang5,Huang Yao1

Affiliation:

1. Department of Diagnostic Radiology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

2. Department of Radiology Fudan University Shanghai Cancer Center Shanghai China

3. Department of Oncology Shanghai Medical College, Fudan University Shanghai China

4. Department of Pathology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

5. Office for Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

Abstract

BackgroundPreoperative differentiation of the types of mediastinal tumors is essential. Magnetic resonance (MR) elastography potentially provides a noninvasive method to assess the classification of mediastinal tumor subtypes.PurposeTo evaluate the use of MR elastography in anterior mediastinal masses and to characterize the mechanical properties of tumors of different subtypes.Study TypeProspective.Subjects189 patients with anterior mediastinal tumors (AMTs) confirmed by histopathology (62 thymomas, 53 thymic carcinomas, 57 lymphomas, and 17 germ cell tumors).Field Strength/SequenceA gradient echo‐based 2D MR elastography sequence and a diffusion‐weighted imaging (DWI) sequence at 3.0 T.AssessmentStiffness and apparent diffusion coefficients (ADC) were measured in AMTs using MR elastography‐derived elastograms and DWI‐derived ADC maps, respectively. The aim of this study is to identify whether MR elastography can differentiate between the histological subtypes of ATMs.Statistical TestsOne‐way analysis of variance (ANOVA), two‐way ANOVA, Pearson's linear correlation coefficient (r), receiver operating characteristic (ROC) curve analysis; P < 0.05 was considered significant.ResultsLymphomas had significantly lower stiffness than other AMTs (4.0 ± 0.63 kPa vs. 4.8 ± 1.39 kPa). The mean stiffness of thymic carcinomas was significantly higher than that of other AMTs (5.6 ± 1.41 kPa vs. 4.2 ± 0.94 kPa). Using a cutoff value of 5.0 kPa, ROC analysis showed that lymphomas could be differentiated from other AMTs with an accuracy of 59%, sensitivity of 97%, and specificity of 38%. Using a cutoff value of 5.1 kPa, thymic carcinomas could be differentiated from other AMTs with an accuracy of 84%, sensitivity of 67%, and specificity of 90%. However, there was an overlap in the stiffness values of individual thymomas (4.2 ± 0.71; 3.9–4.5), thymic carcinomas (5.6 ± 1.41; 5.0–6.1), lymphomas (4.0 ± 0.63; 3.8–4.2), and germ cell tumors (4.5 ± 1.79; 3.3–5.6).Data ConclusionMR elastography‐derived stiffness may be used to evaluate AMTs of various histologies.Level of Evidence4.Technical EfficacyStage 2.

Funder

Chinese Academy of Medical Sciences Initiative for Innovative Medicine

National Key Research and Development Program of China

Publisher

Wiley

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