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Tri-Compartmental Restriction Spectrum Imaging Based on 18F-FDG PET/MR for Identification of Primary Benign and Malignant Lung Lesions.
Liu, Xue; Meng, Nan; Zhou, Yihang; Fu, Fangfang; Yuan, Jianmin; Wang, Zhe; Yang, Yang; Xiong, Zhongyan; Zou, Chao; Wang, Meiyun.
Afiliação
  • Liu X; Department of Medical Imaging, Zhengzhou University People's Hospital, Zhengzhou, China.
  • Meng N; Department of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, China.
  • Zhou Y; Department of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, China.
  • Fu F; Department of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, China.
  • Yuan J; Department of Medical Imaging, Xinxiang Medical University Henan Provincial People's Hospital, Zhengzhou, China.
  • Wang Z; Department of Medical Imaging, Henan Provincial People's Hospital, Zhengzhou, China.
  • Yang Y; Central Research Institute, United Imaging Healthcare Group, Shanghai, China.
  • Xiong Z; Central Research Institute, United Imaging Healthcare Group, Shanghai, China.
  • Zou C; Beijing United Imaging Research Institute of Intelligent Imaging, United Imaging Healthcare Group, Beijing, China.
  • Wang M; Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
J Magn Reson Imaging ; 2024 Jun 17.
Article em En | MEDLINE | ID: mdl-38886922
ABSTRACT

BACKGROUND:

Restriction spectrum imaging (RSI), as an advanced quantitative diffusion-weighted magnetic resonance imaging technique, has the potential to distinguish primary benign and malignant lung lesions.

OBJECTIVE:

To explore how well the tri-compartmental RSI performs in distinguishing primary benign from malignant lung lesions compared with diffusion-weighted imaging (DWI), and to further explore whether positron emission tomography/magnetic resonance imaging (PET/MRI) can improve diagnostic efficacy. STUDY TYPE Prospective. POPULATION 137 patients, including 108 malignant and 29 benign lesions (85 males, 52 females; average age = 60.0 ± 10.0 years). FIELD STRENGTH/SEQUENCE T2WI, T1WI, multi-b value DWI, MR-based attenuation correction, and PET imaging on a 3.0 T whole-body PET/MR system. ASSESSMENT The apparent diffusion coefficient (ADC), RSI-derived parameters (restricted diffusion f 1 $$ {f}_1 $$ , hindered diffusion f 2 $$ {f}_2 $$ , and free diffusion f 3 $$ {f}_3 $$ ) and the maximum standardized uptake value (SUVmax) were calculated and analyzed for diagnostic efficacy individually or in combination. STATISTICAL TESTS Student's t-test, Mann-Whitney U test, receiver operating characteristic (ROC) curves, Delong test, Spearman's correlation analysis. P < 0.05 was considered statistically significant.

RESULTS:

The f 1 $$ {f}_1 $$ , SUVmax were significantly higher, and f 3 $$ {f}_3 $$ , ADC were significantly lower in the malignant group [0.717 ± 0.131, 9.125 (5.753, 13.058), 0.194 ± 0.099, 1.240 (0.972, 1.407)] compared to the benign group [0.504 ± 0.236, 3.390 (1.673, 6.030), 0.398 ± 0.195, 1.485 ± 0.382]. The area under the ROC curve (AUC) values ranked from highest to lowest as follows AUC (SUVmax) > AUC ( f 3 $$ {f}_3 $$ ) > AUC ( f 1 $$ {f}_1 $$ ) > AUC (ADC) > AUC ( f 2 $$ {f}_2 $$ ) (AUC = 0.819, 0.811, 0.770, 0.745, 0549). The AUC (AUC = 0.900) of the combined model of RSI with PET was significantly higher than that of either single-modality imaging.

CONCLUSION:

RSI-derived parameters ( f 1 $$ {f}_1 $$ , f 3 $$ {f}_3 $$ ) might help to distinguish primary benign and malignant lung lesions and the discriminatory utility of f 2 $$ {f}_2 $$ was not observed. The RSI exhibits comparable or potentially enhanced performance compared with DWI, and the combined RSI and PET model might improve diagnostic efficacy. TECHNICAL EFFICACY Stage 2.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China