术前基于ct的放射组学模型预测I期周围性肺浸润性腺癌的微乳头状/实型:倾向评分匹配研究。

IF 2 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Yachao Ruan, Meirong Li, Zhan Feng, Lvbin Xie, Fangyu Sun, Fenhua Zhao, Feng Chen
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引用次数: 0

摘要

目的:建立并验证基于计算机断层扫描的放射组学模型,用于倾向评分匹配(PSM)后预测t1期肺浸润性腺癌(IAC)的高级别(微乳头状/实性)模式。材料和方法:我们从2个队列中招募了546名参与者,这些参与者在2020年1月至2021年8月期间进行了完全手术切除,组织学诊断为肺IAC。将患者分为高级别组和非高级别组,采用PSM进行匹配。利用匹配的患者HRCT图像从肿瘤中勾画出感兴趣的区域,提取放射组学特征,并利用随机森林方法构建放射组学模型。采用受试者工作特征曲线下面积(曲线下面积)评价模型的性能,并进行外部验证以评价模型的通用性。结果:PSM治疗前,两组患者年龄差异无统计学意义,但两组患者结节类型、性别差异有统计学意义(P < 0.05)。PSM后,我们在两个队列中匹配了176对和97对患者。在这两个队列中,两组患者的性别和结节类型相同,男性和实性结节的比例都较高。我们的模型在PSM后表现出中等的预测性能,开发组和外部验证组的曲线下面积分别为0.75 (95% CI: 0.70-0.80)和0.71 (95% CI: 0.63-0.80)。结论:尽管结节类型降低了模型性能的有效性,但我们的研究结果表明,我们的急性计算机断层扫描放射组学模型可以术前预测PSM后I期肺IAC患者的微乳头状/实体形态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preoperative CT-based Radiomics Model for Predicting Micropapillary/Solid Patterns in Stage I Peripheral Lung Invasive Adenocarcinoma: A Propensity Score Matching Study.

Purpose: To develop and validate an accurate computed tomography-based radiomics model for predicting high-grade (micropapillary/solid) patterns in T1-stage lung invasive adenocarcinoma (IAC) after propensity score matching (PSM).

Materials and methods: We enrolled 546 participants from 2 cohorts with histologically diagnosed lung IAC after complete surgical resection between January 2020 and August 2021. The patients were divided into high-grade and non-high-grade groups and matched using PSM. Matched patient HRCT images were used to delineate regions of interest from tumors and extract radiomics features, and the random forest method was used to construct a radiomics model. The area under the receiver operating characteristic curve (area under the curve) was used to evaluate the model's performance, and external validation was performed to assess the model's generalizability.

Results: Before PSM, there was no statistically significant difference in age between the two groups, though nodule type and sex exhibited significant differences (P < 0.05) in both cohorts. After PSM, we matched 176 and 97 pairs of patients in the 2 cohorts. In both cohorts, sex and nodule type were equal between the two groups, with a higher percentage of males and solid nodules in both groups. Our model exhibited moderate predictive performance after PSM, with area under the curve values of 0.75 (95% CI: 0.70-0.80) and 0.71 (95% CI: 0.63-0.80) for the development and external validation cohorts, respectively.

Conclusion: Although the nodule type compromised the validity of the model's performance, our results suggest that our acute computed tomography-based radiomics model could preoperatively predict micropapillary/solid patterns in patients with stage I lung IAC after PSM.

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来源期刊
Journal of Thoracic Imaging
Journal of Thoracic Imaging 医学-核医学
CiteScore
7.10
自引率
9.10%
发文量
87
审稿时长
6-12 weeks
期刊介绍: Journal of Thoracic Imaging (JTI) provides authoritative information on all aspects of the use of imaging techniques in the diagnosis of cardiac and pulmonary diseases. Original articles and analytical reviews published in this timely journal provide the very latest thinking of leading experts concerning the use of chest radiography, computed tomography, magnetic resonance imaging, positron emission tomography, ultrasound, and all other promising imaging techniques in cardiopulmonary radiology. Official Journal of the Society of Thoracic Radiology: Japanese Society of Thoracic Radiology Korean Society of Thoracic Radiology European Society of Thoracic Imaging.
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