Background: Atelectasis is an important prognostic factor that can cause pleuritic chest pain, coughing or dyspnea, and even may be a cause of death. In this study, we aimed to investigate the potential impact of atelectasis and PET parameters on survival and the relation between atelectasis and PET parameters.
Materials And Methods: The study consisted of patients with lung cancer with or without atelectasis who underwent (18)F-FDG PET/CT examination before receiving any treatment. (18)F-FDG PET/CT derived parameters including tumor size, SUVmax, SUVmean, MTV, total lesion glycosis (TLG), SUV mean of atelectasis area, atelectasis volume, and histological and TNM stage were considered as potential prognostic factors for overall survival.
Results: Fifty consecutive lung cancer patients (22 patients with atelectasis and 28 patients without atelectasis, median age of 65 years) were evaluated in the present study. There was no relationship between tumor size and presence or absence of atelectasis, nor between presence/absence of atelectasis and TLG of primary tumors. The overall one-year survival rate was 83% and median survival was 20 months (n=22) in the presence of atelectasis; the overall one-year survival rate was 65.7% (n=28) and median survival was 16 months (p=0.138) in the absence of atelectasis. With respect to PFS; the one-year survival rate of AT+ patients was 81.8% and median survival was 19 months; the one-year survival rate of AT- patients was 64.3% and median survival was 16 months (p=0.159). According to univariate analysis, MTV, TLG and tumor size were significant risk factors for PFS and OS (p<0.05). However, SUVmax was not a significant factor for PFS and OS (p>0.05).
Conclusions: The present study suggested that total lesion glycolysis and metabolic tumor volume were important predictors of survival in lung cancer patients, in contrast to SUVmax. In addition, having a segmental lung atelectasis seems not to be a significant factor on survival.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.7314/apjcp.2014.15.9.4085 | DOI Listing |
JNCI Cancer Spectr
January 2025
Division of Cardiology, Department of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, United States.
Background: Cancer patients have up to a 3-fold higher risk for cardiovascular disease (CVD) than the general population. Traditional CVD risk scores may be less accurate for them. We aimed to develop cancer-specific CVD risk scores and compare them with conventional scores in predicting 10-year CVD risk for patients with breast cancer (BC), colorectal cancer (CRC), or lung cancer (LC).
View Article and Find Full Text PDFPulmonology
December 2025
Department of General Surgery, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, Jiangsu, China.
Pulmonology
December 2025
Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Pulmonology
December 2025
Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Guidelines for the follow-up of pulmonary subsolid nodule (SSN) vary in terms of frequency and criteria for discontinuation. We aimed to evaluate the growth risk of SSNs and define appropriate follow-up intervals and endpoints. The immediate risk (IR) and cumulative risk (CR) of SSN growth were assessed using the Kaplan-Meier method according to nodule consistency and size.
View Article and Find Full Text PDFPulmonology
December 2025
Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Cone-beam computed tomography (CBCT) assisted bronchoscopy shows prospective advantages in diagnosing peripheral pulmonary lesions (PPLs), but its diagnostic value and potential influencing factors remain unclear. What is the clinical value and optimal strategy of CBCT-assisted bronchoscopy in diagnosing PPLs? The references were searched from PubMed, EmBase, and Web of Science. Studies reporting diagnostic yield and potential influencing factors of CBCT-assisted bronchoscopy were included.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!