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圆柱状 TGR 作为 GEPNETs 中 RLT 进展的早期放射学预测指标:概念验证。

Cylindrical TGR as early radiological predictor of RLT progression in GEPNETs: a proof of concept.

机构信息

Nuclear Medicine Department, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy.

Department of Radiodiagnostics and Radiotherapy, IRCCS Fondazione Istituto Nazionale Tumori, Milan, Italy.

出版信息

Sci Rep. 2024 Jul 9;14(1):15782. doi: 10.1038/s41598-024-66668-9.

DOI:10.1038/s41598-024-66668-9
PMID:38982134
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11233714/
Abstract

This study aims to assess the predictive capability of cylindrical Tumor Growth Rate (cTGR) in the prediction of early progression of well-differentiated gastro-entero-pancreatic tumours after Radio Ligand Therapy (RLT), compared to the conventional TGR. Fifty-eight patients were included and three CT scans per patient were collected at baseline, during RLT, and follow-up. RLT response, evaluated at follow-up according to RECIST 1.1, was calculated as a percentage variation of lesion diameters over time (continuous values) and as four different RECIST classes. TGR between baseline and interim CT was computed using both conventional (approximating lesion volume to a sphere) and cylindrical (called cTGR, approximating lesion volume to an elliptical cylinder) formulations. Receiver Operating Characteristic (ROC) curves were employed for Progressive Disease class prediction, revealing that cTGR outperformed conventional TGR (area under the ROC equal to 1.00 and 0.92, respectively). Multivariate analysis confirmed the superiority of cTGR in predicting continuous RLT response, with a higher coefficient for cTGR (1.56) compared to the conventional one (1.45). This study serves as a proof of concept, paving the way for future clinical trials to incorporate cTGR as a valuable tool for assessing RLT response.

摘要

本研究旨在评估圆柱形肿瘤生长率 (cTGR) 在预测放射性配体治疗 (RLT) 后高分化胃肠胰腺肿瘤早期进展方面的预测能力,与传统 TGR 相比。纳入了 58 名患者,每位患者在基线、RLT 期间和随访时采集了三次 CT 扫描。根据 RECIST 1.1 标准,在随访时评估 RLT 反应,计算为病变直径随时间的百分比变化(连续值)和四个不同的 RECIST 类别。使用传统(将病变体积近似为球体)和圆柱形(称为 cTGR,将病变体积近似为椭圆形圆柱体)公式在基线和中期 CT 之间计算 TGR。采用受试者工作特征 (ROC) 曲线预测进行性疾病类别,结果表明 cTGR 优于传统 TGR(ROC 下面积分别为 1.00 和 0.92)。多变量分析证实 cTGR 在预测连续 RLT 反应方面具有优越性,cTGR 的系数(1.56)高于传统 TGR(1.45)。本研究为概念验证,为未来临床试验将 cTGR 作为评估 RLT 反应的有价值工具铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/11233714/2f535522ba8e/41598_2024_66668_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/11233714/9a8247b75153/41598_2024_66668_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/11233714/b35d4c729dee/41598_2024_66668_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/11233714/2d7f9a0cfc73/41598_2024_66668_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/11233714/1dd536d6fc09/41598_2024_66668_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/11233714/2f535522ba8e/41598_2024_66668_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/11233714/9a8247b75153/41598_2024_66668_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/11233714/b35d4c729dee/41598_2024_66668_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/11233714/2d7f9a0cfc73/41598_2024_66668_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/11233714/1dd536d6fc09/41598_2024_66668_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fae/11233714/2f535522ba8e/41598_2024_66668_Fig5_HTML.jpg

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本文引用的文献

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Incidence and survival of neuroendocrine neoplasia in England 1995-2018: A retrospective, population-based study.1995 - 2018年英格兰神经内分泌肿瘤的发病率和生存率:一项基于人群的回顾性研究。
Lancet Reg Health Eur. 2022 Sep 23;23:100510. doi: 10.1016/j.lanepe.2022.100510. eCollection 2022 Dec.
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Overview of the 2022 WHO Classification of Neuroendocrine Neoplasms.
《2022 年世卫组织神经内分泌肿瘤分类概述》。
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Defining disease status in gastroenteropancreatic neuroendocrine tumors: Choi-criteria or RECIST?胃肠胰神经内分泌肿瘤疾病状态的定义:Choi标准还是RECIST标准?
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