Factors distinguishing invasive from pre-invasive adenocarcinoma presenting as pure ground glass pulmonary nodules

Autor: Xiu-Chun Xu, Yilv Lv, Xing-Hai Fan, Bo Ye, Huan-Huan Yang, Ding-Zhong Hu, Zhi-Yong Ai
Rok vydání: 2020
Předmět:
lcsh:Medical physics. Medical radiology. Nuclear medicine
Adult
Male
Lung Neoplasms
medicine.medical_treatment
lcsh:R895-920
Computed tomography
Adenocarcinoma of Lung
Adenocarcinoma
lcsh:RC254-282
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Carcinoembryonic antigen
Hounsfield scale
Image Processing
Computer-Assisted
Medicine
Humans
Radiology
Nuclear Medicine and imaging
Neoplasm Invasiveness
Pathological
Aged
Retrospective Studies
Mean diameter
Lung
biology
medicine.diagnostic_test
business.industry
Research
Solitary Pulmonary Nodule
Middle Aged
medicine.disease
lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Prognosis
Radiation therapy
medicine.anatomical_structure
Oncology
030220 oncology & carcinogenesis
biology.protein
Female
business
Nuclear medicine
Tomography
X-Ray Computed
Ground-glass nodule
Zdroj: Radiation Oncology (London, England)
Radiation Oncology, Vol 15, Iss 1, Pp 1-10 (2020)
ISSN: 1748-717X
Popis: Background To investigate predictors of pathological invasiveness and prognosis of lung adenocarcinoma in patients with pure ground-glass nodules (pGGNs). Methods Clinical and computed tomography (CT) features of invasive adenocarcinomas (IACs) and pre-IACs were retrospectively compared in 641 consecutive patients with pGGNs and confirmed lung adenocarcinomas who had undergone postoperative CT follow-up. Potential predictors of prognosis were investigated in these patients. Results Of 659 pGGNs in 641 patients, 258 (39.1%) were adenocarcinomas in situ, 265 (40.2%) were minimally invasive adenocarcinomas, and 136 (20.6%) were IACs. Respective optimal cutoffs for age, serum carcinoembryonic antigen concentration, maximal diameter, mean diameter, and CT density for distinguishing pre-IACs from IACs were 53 years, 2.19 ng/mL, 10.78 mm, 10.09 mm, and − 582.28 Hounsfield units (HU). Univariable analysis indicated that sex, age, maximal diameter, mean diameter, CT density, and spiculation were significant predictors of lung IAC. In multivariable analysis age, maximal diameter, and CT density were significant predictors of lung IAC. During a median follow-up of 41 months no pGGN IACs recurred. Conclusions pGGNs may be lung IACs, especially in patients aged > 55 years with lesions that are > 1 cm in diameter and exhibit CT density > − 600 HU. pGGN IACs of
Databáze: OpenAIRE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje