计算机断层扫描(CT)上的肿瘤与胸膜关系可对肺成像报告和数据系统(Lung-RADS)评分为 4X 的周围肺结节进行有效的风险分层。

IF 2.9 2区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Quantitative Imaging in Medicine and Surgery Pub Date : 2024-10-01 Epub Date: 2024-09-21 DOI:10.21037/qims-24-530
Liangna Deng, Kaibo Zhu, Jingjing Yang, Yuting Zhang, Mengyuan Jing, Peng Zhang, Tao Han, Bin Zhang, Junlin Zhou
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引用次数: 0

摘要

背景:肺部影像报告和数据系统(Lung-RADS)4X肺结节具有更大的临床意义,在治疗前准确区分Lung-RADS 4X外周肺结节的病理类型和内脏胸膜侵犯(VPI)有助于分层。本研究旨在探讨计算机断层扫描(CT)上的肿瘤与胸膜关系是否能对肺-RADS 4X外周肺结节进行有效的风险分层:这是一项单机构回顾性研究,研究对象是2019年1月至2023年12月期间连续482例经病理诊断为结核性肉芽肿和腺癌的Lung-RADS评分4X患者。我们评估了临床因素(基线特征和肿瘤标志物)和 CT 结果。采用单变量和多变量逻辑回归分析来确定肺结节的分类和VPI的预测因素:结果:多变量分析表明,性别[几率比(OR)=0.392;PC结论:肿瘤与胸膜的关系将影响VPI的预测:肿瘤与胸膜的关系有助于对肺-RADS 4X 评分的周围肺结节进行进一步的风险分层。
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Tumour-pleura relationship on computed tomography (CT) provides effective risk stratification for peripheral pulmonary nodules with Lung Imaging Reporting and Data System (Lung-RADS) score of 4X.

Background: Pulmonary nodules with Lung Imaging Reporting and Data System (Lung-RADS) 4X are of greater clinical significance, and accurate differentiation of pathological types and visceral pleural invasion (VPI) of Lung-RADS 4X peripheral pulmonary nodules before treatment can aid in stratification. This study set out to investigate whether the tumour-pleura relationship on computed tomography (CT) can provide effective risk stratification for peripheral pulmonary nodules with Lung-RADS 4X.

Methods: This was a single institution, retrospective study of 482 consecutive patients with Lung-RADS score 4X, who were pathologically diagnosed with tuberculous granuloma and adenocarcinoma from January 2019 to December 2023. We assessed clinical factors (baseline characteristics and tumour markers) and CT findings. Univariate and multivariate logistic regression analyses were used to determine the classification of pulmonary nodules and predictors of VPI.

Results: Multivariate analysis revealed that gender [odds ratio (OR) =0.392; P<0.001], carcinoembryonic antigen (CEA) level (OR =8.331; P<0.001), type of nodules (OR =13.551 and 7.478; P<0.001 and P=0.016) and maximum base width of soft tissue component on the pleura side (OR =0.857; P=0.005) were significant independent factors for distinguishing tuberculous granuloma from adenocarcinoma. And the type of linear connection between lesion and pleura (OR =3.936; P<0.001), and the maximum base width of soft tissue components on the pleura side (OR =1.359; P=0.001) were correlated independently with VPI. The area under the curve (AUC) for predicting pulmonary nodules classification was 82.60% [95% confidence interval (CI): 78.85-86.35%), and the AUC for predicting VPI was 76.10% (95% CI: 69.83-82.38%).

Conclusions: The tumour-pleura relationship will be helpful in further risk stratification for peripheral pulmonary nodules with a score of Lung-RADS 4X.

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来源期刊
Quantitative Imaging in Medicine and Surgery
Quantitative Imaging in Medicine and Surgery Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
4.20
自引率
17.90%
发文量
252
期刊介绍: Information not localized
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