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Amide proton transfer-weighted imaging and stretch-exponential model DWI based 18F-FDG PET/MRI for differentiation of benign and malignant solitary pulmonary lesions.
Meng, Nan; Song, Chen; Sun, Jing; Liu, Xue; Shen, Lei; Zhou, Yihang; Dai, Bo; Yu, Xuan; Wu, Yaping; Yuan, Jianmin; Yang, Yang; Wang, Zhe; Wang, Meiyun.
Afiliación
  • Meng N; Department of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China. 821157922@qq.com.
  • Song C; Laboratory of Brain Science and Brain-Like Intelligence Technology, Institute for Integrated Medical Science and Engineering, Henan Academy of Sciences, Zhengzhou, China. 821157922@qq.com.
  • Sun J; Biomedical Research Institute, Henan Academy of Sciences, Zhengzhou, China. 821157922@qq.com.
  • Liu X; Hematology Laboratory, the First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
  • Shen L; Department of Pediatrics, Zhengzhou Central Hospital Affiliated to Zhengzhou University & Zhengzhou Central Hospital, Zhengzhou, China.
  • Zhou Y; Department of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China.
  • Dai B; Department of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China.
  • Yu X; Department of Medical Imaging, Xinxiang Medical University People's Hospital & Henan Provincial People's Hospital, Zhengzhou, China.
  • Wu Y; Department of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China.
  • Yuan J; Department of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China.
  • Yang Y; Department of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou, China.
  • Wang Z; Central Research Institute, United Imaging Healthcare Group, Shanghai, China.
  • Wang M; Beijing United Imaging Research Institute of Intelligent Imaging, United Imaging Healthcare Group, Beijing, China.
Cancer Imaging ; 24(1): 33, 2024 Mar 04.
Article en En | MEDLINE | ID: mdl-38439101
ABSTRACT

OBJECTIVES:

To differentiate benign and malignant solitary pulmonary lesions (SPLs) by amide proton transfer-weighted imaging (APTWI), mono-exponential model DWI (MEM-DWI), stretched exponential model DWI (SEM-DWI), and 18F-FDG PET-derived parameters.

METHODS:

A total of 120 SPLs patients underwent chest 18F-FDG PET/MRI were enrolled, including 84 in the training set (28 benign and 56 malignant) and 36 in the test set (13 benign and 23 malignant). MTRasym(3.5 ppm), ADC, DDC, α, SUVmax, MTV, and TLG were compared. The area under receiver-operator characteristic curve (AUC) was used to assess diagnostic efficacy. The Logistic regression analysis was used to identify independent predictors and establish prediction model.

RESULTS:

SUVmax, MTV, TLG, α, and MTRasym(3.5 ppm) values were significantly lower and ADC, DDC values were significantly higher in benign SPLs than malignant SPLs (all P < 0.01). SUVmax, ADC, and MTRasym(3.5 ppm) were independent predictors. Within the training set, the prediction model based on these independent predictors demonstrated optimal diagnostic efficacy (AUC, 0.976; sensitivity, 94.64%; specificity, 92.86%), surpassing any single parameter with statistical significance. Similarly, within the test set, the prediction model exhibited optimal diagnostic efficacy. The calibration curves and DCA revealed that the prediction model not only had good consistency but was also able to provide a significant benefit to the related patients, both in the training and test sets.

CONCLUSION:

The SUVmax, ADC, and MTRasym(3.5 ppm) were independent predictors for differentiation of benign and malignant SPLs, and the prediction model based on them had an optimal diagnostic efficacy.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Protones / Fluorodesoxiglucosa F18 Límite: Humans Idioma: En Revista: Cancer Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / NEOPLASIAS Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Protones / Fluorodesoxiglucosa F18 Límite: Humans Idioma: En Revista: Cancer Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / NEOPLASIAS Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido