Basit öğe kaydını göster

dc.contributor.authorAgkoc, Melek
dc.contributor.authorToker, Alper
dc.contributor.authorDuman, Salih
dc.contributor.authorErturk, Sukru Mehmet
dc.contributor.authorKara, Murat
dc.contributor.authorErdogdu, Eren
dc.contributor.authorOzkan, Berker
dc.date.accessioned2022-07-04T14:07:01Z
dc.date.available2022-07-04T14:07:01Z
dc.identifier.citationErdogdu E., Ozkan B., Duman S., Agkoc M., Erturk S. M. , Kara M., Toker A., "Predictors of malignancy in patients with solitary pulmonary nodules undergoing pulmonary resection", CLINICAL RESPIRATORY JOURNAL, 2022
dc.identifier.issn1752-6981
dc.identifier.othervv_1032021
dc.identifier.otherav_68c537c0-7598-4afe-bf7e-6e1c17e53647
dc.identifier.urihttp://hdl.handle.net/20.500.12627/183128
dc.identifier.urihttps://doi.org/10.1111/crj.13489
dc.description.abstractBackground The management of a solitary pulmonary nodule is a challenging issue in pulmonary disease. Although many factors have been defined as predictors for malignancy in solitary pulmonary nodules, the accurate diagnosis can only be established with the permanent histological diagnosis. Objective We tried to clarify the possible predictors of malignancy in solitary pulmonary nodules in patients who had definitive histological diagnosis. Methods We made a retrospective study to collect the data of patients with solitary pulmonary nodules who had histological diagnosis either before or after surgery. We made a statistical analysis of both the clinic and radiological features of these nodules with respect to malignancy both in contingency tables and with logistic regression analysis. Results We had a total of 223 patients with a radiological diagnosis of solitary pulmonary nodule. Age, smoking status and pack years of smoking, maximum standardized uptake value (SUVmax), and radiological features such as solid component, spiculation, pleural tag, lobulation, calcification, and higher density were significant predictors of malignancy in contingency tables. Age, smoking status and smoking (pack/year), SUVmax, and radiological features including spiculation, pleural tag, lobulation, calcification, and higher density were the significant predictors in univariate analysis. However, multivariate analysis revealed only SUVmax greater than 2.5 (p < 0.0001), spiculation (p = 0.009), and age older than 61 years (p = 0.015) as the significant predictors for malignancy. Conclusion Age, SUVmax, and spiculation are the independent predictors of malignancy in patients with solitary pulmonary nodules.
dc.language.isoeng
dc.subjectRespiratory Care
dc.subjectPulmonary and Respiratory Medicine
dc.subjectHealth Sciences
dc.subjectDahili Tıp Bilimleri
dc.subjectGöğüs Hastalıkları ve Allerji
dc.subjectSağlık Bilimleri
dc.subjectTıp
dc.subjectKlinik Tıp (MED)
dc.subjectKlinik Tıp
dc.subjectSOLUNUM SİSTEMİ
dc.titlePredictors of malignancy in patients with solitary pulmonary nodules undergoing pulmonary resection
dc.typeMakale
dc.relation.journalCLINICAL RESPIRATORY JOURNAL
dc.contributor.departmentİstanbul Üniversitesi , ,
dc.contributor.firstauthorID3416891


Bu öğenin dosyaları:

DosyalarBoyutBiçimGöster

Bu öğe ile ilişkili dosya yok.

Bu öğe aşağıdaki koleksiyon(lar)da görünmektedir.

Basit öğe kaydını göster