Quantitative parameters of HRCT target scan to predict the risk of lung adenocarcinoma based on the detection of lung ground-glass nodules.

IF 2.8 3区医学 Q2 ONCOLOGY

Clinical & Translational Oncology Pub Date : 2025-03-01 Epub Date: 2024-08-24 DOI:10.1007/s12094-024-03676-1

Jingfang Zhang, Peili Peng

{"title":"Quantitative parameters of HRCT target scan to predict the risk of lung adenocarcinoma based on the detection of lung ground-glass nodules.","authors":"Jingfang Zhang, Peili Peng","doi":"10.1007/s12094-024-03676-1","DOIUrl":null,"url":null,"abstract":"Background: To explore the value of high-resolution computed tomography (HRCT) in the differential diagnosis of benign and malignant ground-glass nodules (GGNs), and to provide a theoretical basis for the clinical application of HRCT.Methods: A total of 208 patients with GGN who had been clinically confirmed by surgical pathology and clinical confirmation were collected, and HRCT target scanning technology was used to scan and collect general information of patients, and observe the distribution of GGN, GGN size, GGN cross-sectional area, diameter, transverse diameter, solid composition, relationship with bronchi, and relationship with blood vessels and other indicators. Multivariate regression analysis and risk factor prediction are performed.Results: The differences were statistically significant in multivariate regression analysis, such as nodule location, maximum diameter, maximum cross-sectional area, GGN status, nodule boundary and relationship with blood vessels (P < 0.05). The results of ROC curve showed that the AUC value of nodule site and nodule boundary was greater than 0.5, and the nodule boundary AUC value was 0.676, which was more sensitive to predict whether GGN deteriorated to lung adenocarcinoma (LUAD).Conclusion: Nodule site and nodule boundary are effective risk predictors for LUAD in patients with GGN, and nodule boundary is the most valuable independent predictor.","PeriodicalId":50685,"journal":{"name":"Clinical & Translational Oncology","volume":" ","pages":"1084-1091"},"PeriodicalIF":2.8000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical & Translational Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12094-024-03676-1","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/24 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Background: To explore the value of high-resolution computed tomography (HRCT) in the differential diagnosis of benign and malignant ground-glass nodules (GGNs), and to provide a theoretical basis for the clinical application of HRCT.

Methods: A total of 208 patients with GGN who had been clinically confirmed by surgical pathology and clinical confirmation were collected, and HRCT target scanning technology was used to scan and collect general information of patients, and observe the distribution of GGN, GGN size, GGN cross-sectional area, diameter, transverse diameter, solid composition, relationship with bronchi, and relationship with blood vessels and other indicators. Multivariate regression analysis and risk factor prediction are performed.

Results: The differences were statistically significant in multivariate regression analysis, such as nodule location, maximum diameter, maximum cross-sectional area, GGN status, nodule boundary and relationship with blood vessels (P < 0.05). The results of ROC curve showed that the AUC value of nodule site and nodule boundary was greater than 0.5, and the nodule boundary AUC value was 0.676, which was more sensitive to predict whether GGN deteriorated to lung adenocarcinoma (LUAD).

Conclusion: Nodule site and nodule boundary are effective risk predictors for LUAD in patients with GGN, and nodule boundary is the most valuable independent predictor.

Abstract Image

查看原文本刊更多论文

基于肺磨玻璃结节检测的 HRCT 靶向扫描定量参数预测肺腺癌风险。

研究背景目的：探讨高分辨率计算机断层扫描（HRCT）在良恶性磨玻璃结节（GGN）鉴别诊断中的价值，为HRCT的临床应用提供理论依据：方法：共收集208例经手术病理及临床确诊的GGN患者，采用HRCT靶向扫描技术对患者进行扫描并收集患者一般资料，观察GGN的分布、GGN大小、GGN横截面积、直径、横径、实体成分、与支气管的关系、与血管的关系等指标。进行多变量回归分析和危险因素预测：在多变量回归分析中，结节部位、最大直径、最大横截面积、GGN 状态、结节边界、与血管的关系等指标差异有统计学意义（P 结论：结节部位和结节边界是预测风险的重要指标：结节部位和结节边界是预测 GGN 患者 LUAD 风险的有效指标，而结节边界是最有价值的独立预测指标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Clinical & Translational Oncology 医学-肿瘤学

CiteScore

6.20

自引率

2.90%

发文量

240

审稿时长

1 months

期刊介绍： Clinical and Translational Oncology is an international journal devoted to fostering interaction between experimental and clinical oncology. It covers all aspects of research on cancer, from the more basic discoveries dealing with both cell and molecular biology of tumour cells, to the most advanced clinical assays of conventional and new drugs. In addition, the journal has a strong commitment to facilitating the transfer of knowledge from the basic laboratory to the clinical practice, with the publication of educational series devoted to closing the gap between molecular and clinical oncologists. Molecular biology of tumours, identification of new targets for cancer therapy, and new technologies for research and treatment of cancer are the major themes covered by the educational series. Full research articles on a broad spectrum of subjects, including the molecular and cellular bases of disease, aetiology, pathophysiology, pathology, epidemiology, clinical features, and the diagnosis, prognosis and treatment of cancer, will be considered for publication.