已发表论文

固体成分不可吸收炎性和恶性皮下结节的鉴别诊断 ≤5 毫米

 

Authors He XQ, Li X, Wu Y, Wu S, Luo TY, Lv FJ, Li Q

Received 26 December 2021

Accepted for publication 1 March 2022

Published 11 March 2022 Volume 2022:15 Pages 1785—1796

DOI https://doi.org/10.2147/JIR.S355848

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 4

Editor who approved publication: Professor Ning Quan

Purpose: To investigate the differential clinical and computed tomography (CT) characteristics of pulmonary nonabsorbable inflammatory and malignant subsolid nodules (SSNs) with a solid component ≤ 5 mm.
Patients and Methods: We retrospectively analyzed 576 consecutive patients who underwent surgical resection and had SSNs with a solid component ≤ 5 mm on CT images. These patients were divided into inflammatory and malignant groups according to pathology. Their clinical and imaging data were analyzed and compared. Multiple logistic regression analysis was used to identify independent prognostic factors differentiating inflammatory from malignant SSNs. Furthermore, 146 consecutive patients were included as internal validation cohort to test the prediction efficiency of this model.
Results: Significant differences in 11 clinical characteristics and CT features were found between both groups (< 0.05). Presence of respiratory symptoms, distribution of middle/lower lobe, irregular shape, part-solid nodule (PSNs), CT value of ground-glass opacity (GGO) areas <− 657 Hu, presence of abnormal intra-nodular vessel sign, and interlobular septal thickening were the most effective factors for diagnosing nonabsorbable inflammatory SSNs, with an AUC (95% CI), accuracy, sensitivity, and specificity of 0.843 (95% CI: 0.811– 0.872), 89.76%, 72.86%, and 81.23%, respectively. The internal validation cohort obtained an AUC (95% CI), accuracy, sensitivity, and specificity of 0.830 (95% CI: 0.759– 0.887), 83.56%, 73.91%, and 76.42%, respectively.
Conclusion: Nonabsorbable inflammatory and malignant SSNs with a solid component ≤ 5 mm exhibited different clinical and imaging characteristics.
Keywords: subsolid nodule, ground-glass opacity, computed tomography, pathology