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

IF 2.3 3区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Abdominal Radiology Pub Date : 2024-06-18 DOI:10.1007/s00261-024-04421-6

Shuying Bian, Weifeng Hong, Xinhui Su, Fei Yao, Yaping Yuan, Yayun Zhang, Jiageng Xie, Tiancheng Li, Kehua Pan, Yingnan Xue, Qiongying Zhang, Zhixian Yu, Kun Tang, Yunjun Yang, Yuandi Zhuang, Jie Lin, Hui Xu

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引用次数: 0

Abstract

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 ¹⁸F-PSMA-1007 PET/CT of PPAT.

Methods

Data from 268 prostate cancer (PCa) patients who underwent ¹⁸F-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 < 0.05). Based on the logistic analysis, the radiomics-clinical combined model, which contained the optimal RFs and the predictive clinical variables, demonstrated optimal performance at an AUC of 0.85 (95% CI: 0.78—0.91), 0.77 (95% CI: 0.62—0.91) and 0.84 (95% CI: 0.70—0.93) in the training, internal validation and external validation cohorts. In all cohorts, the calibration curve was well-calibrated. Analysis of decision curves revealed greater clinical utility for the radiomics-clinical combined nomogram.

Conclusion

The radiomics-clinical combined nomogram serves as a novel tool for preoperative individualized prediction of short-term prognosis among PCa patients.

Abstract Image

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基于前列腺周围脂肪组织 18F-PSMA-1007 PET/CT 预测前列腺癌短期预后的动态在线提名图：一项多中心研究。

背景：根治性前列腺切除术后前列腺特异性抗原（PSA）水平升高表明预后不良，这可能与前列腺周围脂肪组织（PPAT）有关。因此，我们旨在根据 PPAT 的 18F-PSMA-1007 PET/CT 构建一个动态在线提名图来预测肿瘤的短期预后：方法：我们回顾性分析了268名前列腺癌（PCa）患者的数据，这些患者在前列腺切除术前接受了18F-PSMA-1007 PET/CT检查，用于构建和验证模型（训练队列：n = 156；内部验证队列：n = 65；外部验证队列：n = 47）。从 PET 和 CT 中提取放射组学特征 (RF)。然后，基于通过最大相关性和最小冗余度以及最小绝对收缩和选择算子选出的 25 个最佳 RF，利用逻辑回归分析构建 Rad-score。结果显示，由25个RFs组成的Rad-score可用于预测PSA持续存在的短期预后：结果：由 25 个 RFs 组成的 Rad-score 在所有队列中对持续性 PSA 的分类显示出良好的区分度（所有 P 均为结论）：放射计量学-临床综合提名图是 PCa 患者术前个体化预测短期预后的新工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Abdominal Radiology Medicine-Radiology, Nuclear Medicine and Imaging

CiteScore

5.20

自引率

8.30%

发文量

334

期刊介绍： Abdominal Radiology seeks to meet the professional needs of the abdominal radiologist by publishing clinically pertinent original, review and practice related articles on the gastrointestinal and genitourinary tracts and abdominal interventional and radiologic procedures. Case reports are generally not accepted unless they are the first report of a new disease or condition, or part of a special solicited section. Reasons to Publish Your Article in Abdominal Radiology: · Official journal of the Society of Abdominal Radiology (SAR) · Published in Cooperation with: European Society of Gastrointestinal and Abdominal Radiology (ESGAR) European Society of Urogenital Radiology (ESUR) Asian Society of Abdominal Radiology (ASAR) · Efficient handling and Expeditious review · Author feedback is provided in a mentoring style · Global readership · Readers can earn CME credits