A dynamic online nomogram predicting prostate cancer short-term prognosis based on 18F-PSMA-1007 PET/CT of periprostatic adipose tissue: a multicenter study

Background Rising prostate-specific antigen (PSA) levels following radical prostatectomy are indicative of a poor prognosis, which may associate with periprostatic adipose tissue (PPAT). Accordingly, we aimed to construct a dynamic online nomogram to predict tumor short-term prognosis based on 18 F-...

Full description

Saved in:
Bibliographic Details
Published in:Abdominal imaging 2024-10, Vol.49 (10), p.3747-3757
Main Authors: Bian, Shuying, Hong, Weifeng, Su, Xinhui, Yao, Fei, Yuan, Yaping, Zhang, Yayun, Xie, Jiageng, Li, Tiancheng, Pan, Kehua, Xue, Yingnan, Zhang, Qiongying, Yu, Zhixian, Tang, Kun, Yang, Yunjun, Zhuang, Yuandi, Lin, Jie, Xu, Hui
Format: Article
Language:English
Subjects:
Adipose tissue
Body fat
Fluorine isotopes
Gastroenterology
Hepatology
Imaging
Medical prognosis
Medicine
Medicine & Public Health
Nomograms
Performance prediction
Prognosis
Prostate cancer
Prostate-specific antigen
Prostatectomy
Radiology
Radiomics
Redundancy
Regression analysis
Technical
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Background Rising prostate-specific antigen (PSA) levels following radical prostatectomy are indicative of a poor prognosis, which may associate with periprostatic adipose tissue (PPAT). Accordingly, we aimed to construct a dynamic online nomogram to predict tumor short-term prognosis based on 18 F-PSMA-1007 PET/CT of PPAT. Methods Data from 268 prostate cancer (PCa) patients who underwent 18 F-PSMA-1007 PET/CT before prostatectomy were analyzed retrospectively for model construction and validation (training cohort: n = 156; internal validation cohort: n = 65; external validation cohort: n = 47). Radiomics features (RFs) from PET and CT were extracted. Then, the Rad-score was constructed using logistic regression analysis based on the 25 optimal RFs selected through maximal relevance and minimal redundancy, as well as the least absolute shrinkage and selection operator. A nomogram was constructed to predict short-term prognosis which determined by persistent PSA. Results The Rad-score consisting of 25 RFs showed good discrimination for classifying persistent PSA in all cohorts (all P 
ISSN:2366-0058
2366-004X
2366-0058
DOI:10.1007/s00261-024-04421-6