The Solid Volume Ratio is Better Than the Consolidation Tumor Ratio in Predicting the Malignant Pathological Features of cT1 Lung Adenocarcinoma.

IF 1.3 4区 医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS
Yu Liu, Ning Jiang, Zhiqiang Zou, Hongxiu Liu, Chuanhang Zang, Jia Gu, Ning Xin
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Abstract

Background:  More effective methods are urgently needed for predicting the pathological grade and lymph node metastasis of cT1-stage lung adenocarcinoma.

Methods:  We analyzed the relationships between CT quantitative parameters (including three-dimensional parameters) and pathological grade and lymph node metastasis in cT1-stage lung adenocarcinoma patients of our center between January 2015 and December 2023.

Results:  A total of 343 patients were included, of which there were 233 males and 110 females, aged 61.8 ± 9.4 (30-82) years. The area under the receiver operating characteristic (ROC) curve for predicting the pathological grade of lung adenocarcinoma using the consolidation-tumor ratio (CTR) and the solid volume ratio (SVR) were 0.761 and 0.777, respectively. The areas under the ROC curves (AUCs) for predicting lymph node metastasis were 0.804 and 0.873, respectively. Multivariate logistic regression analysis suggested that the SVR was an independent predictor of highly malignant lung adenocarcinoma pathology, while the SVR and pathological grade were independent predictors of lymph node metastasis. The sensitivity of predicting the pathological grading of lung adenocarcinoma based on SVR >5% was 97.2%, with a negative predictive value of 96%. The sensitivity of predicting lymph node metastasis based on SVR >47.1% was 97.3%, and the negative predictive value was 99.5%.

Conclusion:  The SVR has greater diagnostic value than the CTR in the preoperative prediction of pathologic grade and lymph node metastasis in stage cT1-stage lung adenocarcinoma patients, and the SVR may replace the diameter and CTR as better criteria for guiding surgical implementation.

固体体积比在预测 cT1 肺腺癌病理特征方面的作用。
背景迫切需要更有效的方法来预测cT1期肺腺癌的病理分级和淋巴结转移:分析2015年1月至2023年12月本中心cT1期肺腺癌患者CT定量参数(包括三维参数)与病理分级和淋巴结转移的关系:共纳入343例患者,其中男性233例,女性110例,年龄为(61.8±9.4)(30-82)岁。用合并肿瘤比(CTR)和实变体积比(SVR)预测肺腺癌病理分级的接收者操作特征曲线下面积分别为0.761和0.777。预测淋巴结转移的 ROC 曲线下面积(AUC)分别为 0.804 和 0.873。多变量逻辑回归分析表明,SVR 是高度恶性肺腺癌病理的独立预测指标,而 SVR 和病理分级是淋巴结转移的独立预测指标。基于 SVR>5% 预测肺腺癌病理分级的灵敏度为 97.2%,阴性预测值为 96%。基于 SVR>47.1% 预测淋巴结转移的灵敏度为 97.3%,阴性预测值为 99.5%:在术前预测 cT1 期肺腺癌患者的病理分级和淋巴结转移方面,SVR 比 CTR 具有更高的诊断价值,SVR 可能取代直径和 CTR 成为指导手术实施的更好标准。
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来源期刊
CiteScore
3.40
自引率
6.70%
发文量
365
审稿时长
3 months
期刊介绍: The Thoracic and Cardiovascular Surgeon publishes articles of the highest standard from internationally recognized thoracic and cardiovascular surgeons, cardiologists, anesthesiologists, physiologists, and pathologists. This journal is an essential resource for anyone working in this field. Original articles, short communications, reviews and important meeting announcements keep you abreast of key clinical advances, as well as providing the theoretical background of cardiovascular and thoracic surgery. Case reports are published in our Open Access companion journal The Thoracic and Cardiovascular Surgeon Reports.
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