Critique of Al-Ameri et al. (2015) - Risk of malignancy in pulmonary nodules: A validation study of four prediction models

Lung Cancer

Volumn 90, Issue 1, 2015, Pages 118-119

  Perandini, Simone ^a   Soardi, Gian Alberto ^a   Motton, Massimiliano ^a   Montemezzi, Stefania ^a  

^a UNIVERSITY HOSPITAL OF VERONA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; CANCER RISK; DISEASE COURSE; HUMAN; LETTER; LUNG NODULE; PREDICTION; PRIORITY JOURNAL; RISK ASSESSMENT; VALIDATION STUDY; LUNG NEOPLASMS; MULTIPLE PULMONARY NODULES; PATHOLOGY; PREDICTIVE VALUE; RECEIVER OPERATING CHARACTERISTIC; RISK; SOLITARY PULMONARY NODULE;

HUMANS; LUNG NEOPLASMS; MULTIPLE PULMONARY NODULES; PREDICTIVE VALUE OF TESTS; RISK; ROC CURVE; SOLITARY PULMONARY NODULE;

EID: 84940959795     PISSN: 01695002     EISSN: 18728332     Source Type: Journal    
DOI: 10.1016/j.lungcan.2015.05.015     Document Type: Letter

References (3)

1. Gould M.K., Donington J., Lynch W.R., et al. Evaluation of individuals with pulmonary nodules: when is it lung cancer?: diagnosis and management of lung cancer, 3rd ed. American College of Chest Physicians Evidence-Based Clinical Practice Guidelines. Chest 2013, 143(5 Suppl.):e93S-e120S.
2. Isbell J.M., Deppen S., Putnam J.B., et al. Existing general population models inaccurately predict lung cancer risk in patients referred for surgical evaluation. Ann Thorac Surg 2011, 91:227-233.
3. Perandini S., Soardi G.A., Motton M., Dallaserra C., Montemezzi S. Limited value of logistic regression analysis in solid solitary pulmonary nodules characterization: a single center experience on 288 consecutive cases. J Surg Oncol 2014, 110:883-887.