APTWI and stretch-exponential model DWI based 18F-FDG PET/MRI for differentiation of benign and malignant solitary pulmonary lesions
Motivation: Although most solitary pulmonary lesions (SPLs) are eventually determined to be benign, early differentiation between benign and malignant lesions remains crucial for effective patient management. Goal(s): This study aimed to perform simultaneous chest 18F-FDG PET, APTWI, MEM-DWI, and SEM-DWI scans in patients with SPLs to compare the differences in each parameter between the benign and malignant groups. Approach: The AUC was used to assess diagnostic efficacy. The Logistic regression analysis was used to identify independent predictors. Results: SUVmax, MTV, TLG, α, and MTRasym(3.5ppm) values were lower and ADC, DDC values were higher in benign SPLs than malignant SPLs (all P < 0.01). Impact: Multiparametric PET/MRI based on 18 F-FDG PET, MEM-DWI, SEM-DWI, and APTWI can effectively evaluate the characteristics of SPLs. The prediction model comprising SUVmax, ADC, and MTRasym (3.5 ppm) demonstrated superior diagnostic efficacy compared with individual parameters.
Authors
- Nan Meng (ORCID: https://orcid.org/0000-0003-4336-1474)
- Yihang Zhou (ORCID: https://orcid.org/0000-0001-6354-1259)
- Pengyang Feng (ORCID: https://orcid.org/0000-0002-0667-4562)
- Yaping Wu (ORCID: https://orcid.org/0000-0002-2979-5332)
- Xuan Yu (ORCID: https://orcid.org/0000-0003-3343-7105)
- Jian‐Min Yuan (ORCID: https://orcid.org/0000-0002-4620-3108)
- Yang Yang (ORCID: https://orcid.org/0000-0001-6417-3654)
- Zhe Wang (ORCID: https://orcid.org/0000-0003-2017-1045)
- Meiyun Wang
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/2577
- Primary Topic
- Medical Imaging and Pathology Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00