Predictors of malignancy in patients with solitary pulmonary nodules undergoing pulmonary resection


Erdogdu E., Ozkan B., Duman S., Agkoc M., Erturk S. M., Kara M., ...Daha Fazla

CLINICAL RESPIRATORY JOURNAL, cilt.16, sa.5, ss.361-368, 2022 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 16 Sayı: 5
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1111/crj.13489
  • Dergi Adı: CLINICAL RESPIRATORY JOURNAL
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, EMBASE, MEDLINE
  • Sayfa Sayıları: ss.361-368
  • Anahtar Kelimeler: lung carcinoma, malignancy, predictor, solitary pulmonary nodule, LUNG-CANCER, PROBABILITY, CT, DIAGNOSIS, PET/CT, CM
  • İstanbul Üniversitesi Adresli: Evet

Özet

Background 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.