Using radiomics model for predicting extraprostatic extension with PSMA PET/CT studies: a comparative study with the Mehralivand grading system

The radiomics model derived from PSMA PET/CT can better capture features associated with EPE and shows promise for aiding preoperative assessment in prostate cancer. However, further validation in larger, independent cohorts is necessary to confirm its stability and clinical utility.

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Publication Details

Journal
Cancer Imaging
Published
2025-06-18
DOI
https://doi.org/10.1186/s40644-025-00894-w
Citations
4
Primary Topic
Prostate Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
6.07

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article

Using radiomics model for predicting extraprostatic extension with PSMA PET/CT studies: a comparative study with the Mehralivand grading system

Yige Peng, Lei Bi, Qiufang Liu, F. Liu et al.
4 citations
Cancer Imaging
Prostate Cancer Diagnosis and Treatment
6.07
article

Using radiomics model for predicting extraprostatic extension with PSMA PET/CT studies: a comparative study with the Mehralivand grading system

Yige Peng, Lei Bi, Qiufang Liu, F. Liu, Panli Li, Shaoli Song, Xinyu Liu, Linjie Bian
article en
4 citations

Abstract

The radiomics model derived from PSMA PET/CT can better capture features associated with EPE and shows promise for aiding preoperative assessment in prostate cancer. However, further validation in larger, independent cohorts is necessary to confirm its stability and clinical utility.

Cancer ImagingVol. 25(1)
Shanghai Medical College of Fudan University (CN), Shanghai Jiao Tong University (CN), Shanghai Normal University (CN), Fudan University (CN), Fudan University Shanghai Cancer Center (CN), Wuxi No.2 People's Hospital (CN), United Imaging Healthcare (China) (CN)
Shanghai Hospital Development Center
Life in Land
Openalex Percentile: Top 4%
Prostate Cancer Diagnosis and Treatment
6.07
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Using radiomics model for predicting extraprostatic extension with PSMA PET/CT studies: a comparative study with the Mehralivand grading system — Yige Peng, Lei Bi, et al. · Cancer Imaging (2025) | TGRS Research Map | TGRS