微卫星不稳定性状态的术前预测:基于泛癌症 PET/CT 放射组学模型的开发与验证。

IF 1.3 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Nuclear Medicine Communications Pub Date : 2024-05-01 Epub Date: 2024-02-03 DOI:10.1097/MNM.0000000000001816
Menglu Wang, Mengye Peng, Xinyue Yang, Ying Zhang, Tingting Wu, Zeyu Wang, Kezheng Wang
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引用次数: 0

摘要

研究目的本研究旨在通过应用基于 PET/CT 的放射模型,验证术前预测患者微卫星不稳定状态的可行性:这项回顾性研究最终纳入了 142 名患者。开发了三种预测模型。所有模型的预测性能均通过接收者操作特征曲线和曲线下面积值进行评估。通过计算 PET/CT 放射组织学评分(Radscore)来评估微卫星不稳定性状态,并建立了相应的提名图。分析了临床因素与放射学特征之间的相关性,以验证放射学特征在预测微卫星不稳定状态方面的价值:结果:保留了12个特征,建立了放射学和临床特征的综合预测模型。肿瘤的 M 期已被证实是微卫星不稳定性状态的独立预测因子。接受者操作特征结果显示,放射组学模型的训练集和验证集的曲线下面积值分别为 0.82 和 0.75。训练集的灵敏度、特异性、阳性预测值和阴性预测值分别为 0.72、0.78、0.83 和 0.66。验证集的灵敏度、特异性、阳性预测值和阴性预测值分别为 1.00、0.50、0.76 和 1.00。通过 Radscore 和 nomograph 计算微卫星不稳定性患者的风险,临界值为-0.4385。决策曲线和校准曲线证实了结果的有效性:结论:基于 PET/CT 的放射学模型可以对几种不同类型癌症的微卫星不稳定性状态进行临床实用的无创预测,在一定程度上减少或避免了不必要的活检。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preoperative prediction of microsatellite instability status: development and validation of a pan-cancer PET/CT-based radiomics model.

Objective: The purpose of this study is to verify the feasibility of preoperative prediction of patients' microsatellite instability status by applying a PET/CT-based radiation model.

Methods: This retrospective study ultimately included 142 patients. Three prediction models have been developed. The predictive performance of all models was evaluated by the receiver operating characteristic curve and area under the curve values. The PET/CT radiological histology score (Radscore) was calculated to evaluate the microsatellite instability status, and the corresponding nomogram was established. The correlation between clinical factors and radiological characteristics was analyzed to verify the value of radiological characteristics in predicting microsatellite instability status.

Results: Twelve features were retained to establish a comprehensive prediction model of radiological and clinical features. M phase of the tumor has been proven to be an independent predictor of microsatellite instability status. The receiver operating characteristic results showed that the area under the curve values of the training set and the validation set of the radiomics model were 0.82 and 0.75, respectively. The sensitivity, specificity, positive predictive value and negative predictive value of the training set were 0.72, 0.78, 0.83 and 0.66, respectively. The sensitivity, specificity, positive predictive value and negative predictive value of the validation set were 1.00, 0.50, 0.76 and 1.00, respectively. The risk of patients with microsatellite instability was calculated by Radscore and nomograph, and the cutoff value was -0.4385. The validity of the results was confirmed by the decision and calibration curves.

Conclusion: Radiological models based on PET/CT can provide clinical and practical noninvasive prediction of microsatellite instability status of several different cancer types, reducing or avoiding unnecessary biopsy to a certain extent.

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来源期刊
CiteScore
2.20
自引率
6.70%
发文量
212
审稿时长
3-8 weeks
期刊介绍: Nuclear Medicine Communications, the official journal of the British Nuclear Medicine Society, is a rapid communications journal covering nuclear medicine and molecular imaging with radionuclides, and the basic supporting sciences. As well as clinical research and commentary, manuscripts describing research on preclinical and basic sciences (radiochemistry, radiopharmacy, radiobiology, radiopharmacology, medical physics, computing and engineering, and technical and nursing professions involved in delivering nuclear medicine services) are welcomed, as the journal is intended to be of interest internationally to all members of the many medical and non-medical disciplines involved in nuclear medicine. In addition to papers reporting original studies, frankly written editorials and topical reviews are a regular feature of the journal.
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