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Benign and malignant pulmonary part-solid nodules: differentiation via thin-section computed tomography.
Li, Wang-Jia; Lv, Fa-Jin; Tan, Yi-Wen; Fu, Bin-Jie; Chu, Zhi-Gang.
  • Li WJ; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Lv FJ; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Tan YW; Department of Pathology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Fu BJ; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Chu ZG; Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Quant Imaging Med Surg ; 12(1): 699-710, 2022 Jan.
Article en En | MEDLINE | ID: mdl-34993112
ABSTRACT

BACKGROUND:

Pulmonary part-solid nodules (PSNs) reportedly have a high possibility of malignancy, while benign PSNs are common. This study aimed to reveal the differences between benign and malignant PSNs by comparing their thin-section computed tomography (CT) features.

METHODS:

Patients with PSNs confirmed by postoperative pathological examination or follow-up (at the same period) were retrospectively enrolled from March 2016 to January 2020. The clinical data of patients and CT features of benign and malignant PSNs were reviewed and compared. Binary logistic regression analysis was performed to reveal the predictors of malignant PSNs.

RESULTS:

A total of 119 PSNs in 117 patients [age (mean ± standard deviation), 56±11 years; 70 women] were evaluated. Of the 119 PSNs, 44 (37.0%) were benign, and 75 (63.0%) were malignant (12 adenocarcinomas in situ, 22 minimally invasive adenocarcinomas, and 41 invasive adenocarcinomas). There were significant differences in the patients' age and smoking history between benign and malignant PSNs. In terms of CT characteristics, malignant and benign lesions significantly differed in the following CT features whole nodule, internal solid component, and peripheral ground-glass opacity. The binary logistic regression analysis revealed that well-defined border [odds ratio (OR), 4.574; 95% confidence interval (CI), 1.186-17.643; P=0.027] and lobulation (OR, 61.739; 95% CI, 5.230-728.860; P=0.001) of the nodule, as well as irregular shape (OR, 9.502; 95% CI, 1.788-50.482; P=0.008) and scattered distribution (OR, 13.238; 95% CI, 1.359-128.924; P=0.026) of the internal solid components were significant independent predictors distinguishing malignant PSNs. However, the lesion shape, density, and margin were similar between malignant and benign lesions.

CONCLUSIONS:

Well-defined and lobulated PSNs with irregular and scattered solid components are highly likely to be malignant.
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article