Meeting Banner
Abstract #2577

APTWI and stretch-exponential model DWI based 18F-FDG PET/MRI for differentiation of benign and malignant solitary pulmonary lesions

Nan Meng1, Pengyang Feng1, Yihang Zhou1, Xuan Yu1, Yaping Wu1, Jianmin Yuan2, Yang Yang3, Zhe Wang2, and Meiyun Wang1
1Henan Provincial People’s Hospital, zhengzhou, China, 2Central Research Institute, United Imaging Healthcare Group, Shanghai, China, 3Beijing United Imaging Research Institute of Intelligent Imaging, Beijing, China

Synopsis

Keywords: IVIM, Lung

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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords