ArticleFrontiers in oncology2022
CT-Derived Body Composition Values and Complications After Pneumonectomy in Lung Cancer Patients: Time for a Sex-Related Analysis?
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 15 citations in OpenAlex.
- The Correlation of Computed Tomography (CT)-Based Body Composition and Survival in Pancreatic Cancer Patients: A Systematic Review.Tomography (Ann Arbor, Mich.) · 2026Pooled it
- Body composition as a predictor of chemotherapy-related toxicity in ovarian cancer patients: A systematic review.Frontiers in oncology · 2022Pooled it
- Body composition as a predictor of chemotherapy-related toxicity in pancreatic cancer patients: A systematic review.Frontiers in oncology · 2022Pooled it
- Body mass index as a predictor of postoperative complications after anatomical lung resection.Kardiochirurgia i torakochirurgia polska = Polish journal of cardio-thoracic surgery · 2026Article
- Predicting postoperative delayed awakening after flexible ureteroscopic lithotripsy based on radiomic features of body composition.Scientific reports · 2026Article
- CT-Assessed Body Composition as Predictor of Post-Operative Complications in Lung Cancer Patients.Cancers · 2026Review
- Article
- Increased adipose tissue is associated with improved overall survival, independent of skeletal muscle mass in non-small cell lung cancer.Journal of cachexia, sarcopenia and muscle · 2023Article
- CT-based body composition in diffuse large B cell lymphoma patients: changes after treatment and association with survival.La Radiologia medica · 2023Article
- Article
- Obesity and lung cancer-a narrative review.Journal of thoracic disease · 2023Review
- Whole-Body Composition Features by Computed Tomography in Ovarian Cancer: Pilot Data on Survival Correlations.Cancers · 2023Article
- Visceral Obesity in Non-Small Cell Lung Cancer.Cancers · 2022Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: This study aimed to assess if CT-derived body composition values and clinical characteristics are associated with the risk of postsurgical complications in men and women who underwent pneumonectomy for lung cancer. Materials and Methods: Patients who underwent pneumonectomy between 2004 and 2008 were selected. The ethics committee approved this retrospective study with waiver of informed content. Main clinical data collected were sex, age, weight and height to calculate body mass index (BMI), albumin, C-reactive protein, smoking status, side, sarcopenia, presurgical treatments, reoperation, and complications within 30 days after pneumonectomy, classified as: lung complications, cardiac complications, other complications, and any complication. From an axial CT image at the level of L3, automatic segmentations were performed to calculate skeletal muscle area (SMA), skeletal muscle density, subcutaneous adipose tissue, and visceral adipose tissue. Skeletal muscle index was calculated as SMA/square height. Univariate and multivariate logistic regression analyses were performed to estimate the risk of any complication, both on the total population and in a by sex subgroup analysis. All tests were two tailed and considered significant at 5% level. Results: A total of 107 patients (84 men and 23 women) were included. Despite no significant differences in BMI, there were significant differences of body composition values in muscle and adipose tissue parameters between men and women, with women being significantly more sarcopenic than men ( Conclusions: Body composition measurements extracted from routine CT may help in predicting complications after pneumonectomy, with men and women being different in quantity and distribution of muscle and fat, and men significantly more prone to postpneumonectomy complications with the increase of age and the decrease of skeletal muscle area.
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