A clinical-radiological predictive model for solitary pulmonary nodules and the relationship between radiological features and pathological subtype

被引：1

作者：

Ye, Y. ^{[1
]}

Sun, Y. ^{[1
]}

Hu, J. ^{[2
]}

Ren, Z. ^{[1
]}

Chen, X. ^{[3
]}

Chen, C. ^{[1
,4
]}

机构：

[1] Zhejiang Prov Peoples Hosp, Affiliated Peoples Hosp Canc Ctr, Hangzhou Med Coll, Affiliated Peoples Hosp,Canc Ctr, Hangzhou 310014, Zhejiang, Peoples R China

[2] Gen Surg Canc Ctr Affiliated Peoples Hosp, Zhejiang Prov Peoples Hosp, Hangzhou Med Coll, Gen Surg,Canc Ctr,Affiliated Peoples Hosp, Hangzhou 310014, Zhejiang, Peoples R China

[3] Zhejiang Prov Peoples Hosp, Affiliated Peoples Hosp, Hangzhou Med Coll, Canc Ctr,Dept Med Oncol, Hangzhou 310014, Zhejiang, Peoples R China

[4] 158 Shangtang St, Hangzhou 310014, Zhejiang, Peoples R China

来源：

CLINICAL RADIOLOGY | 2024年 / 79卷 / 03期

关键词：

GROUND-GLASS OPACITY; MINIMALLY INVASIVE ADENOCARCINOMA; THIN-SECTION CT; HISTOPATHOLOGIC COMPARISONS; LUNG-CANCER; MALIGNANCY; BENIGN; DIFFERENTIATION; PROBABILITY; DIAGNOSIS;

D O I：

10.1016/j.crad.2023.11.013

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

AIM: To develop a clinical-radiological model to predict the malignancy of solitary pulmonary nodules (SPNs) and to evaluate the accuracy of chest computed tomography imaging characteristics of SPN in diagnosing pathological type. MATERIALS AND METHODS: The predictive model was developed using a retrospective cohort of 601 SPN patients (Group A) between July 2015 and July 2020. The established model was tested using a second retrospective cohort of 124 patients between August 2020 and August 2021 (Group B). The radiological characteristics of all adenocarcinomas in two groups were analysed to determine the correlation between radiological and pathological characteristics. RESULTS: Malignant nodules were found in 78.87% of cases and benign in 21.13%. Two clinical characteristics (age and gender) and four radiological characteristics (calcification, vascular convergence, pleural retraction sign, and density) were identified as independent predictors of malignancy in patients with SPN using logistic regression analysis. The area under the receiver operating characteristic curve (0.748) of the present model was greater than the other two reported models. Diameter, spiculation, lobulation, vascular convergence, and pleural retraction signs differed significantly among pre-invasive lesions, minimally invasive adenocarcinoma, and invasive adenocarcinoma. Only diameter and density were significantly different among invasive adenocarcinoma subtypes. CONCLUSIONS: Older age, male gender, no calcification, vascular convergence, pleural contraction sign, and lower density were independent malignancy predictors of SPNs. Furthermore, the pathological classification can be clarified based on the radiological characteristics of SPN, providing a new option for the prevention and treatment of early lung cancer. (c) 2023 Published by Elsevier Ltd on behalf of The Royal College of Radiologists.

引用

页码：e432 / e439

页数：8