Analysis and validation of probabilistic models for predicting malignancy in solitary pulmonary nodules in a population in Brazil.

No abstract is available for this paper.

• Publication year

  2012

• Venue

  Jornal Brasileiro de Pneumologia

• Publication date

  Unknown publication date

• Fields of study

  Medicine

• Identifiers
  PMID 23147047
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Two Commonly Used Prediction Models (Mayo and VA) To Estimate the Probability of Malignancy in Patients With Solitary Pulmonary Nodules Are Not Applicable in a Country With a High Prevalence of Tuberculosis

  2010cited by this paper
• Evaluation of Patients with Pulmonary Nodules: When is it Lung Cancer?: ACCP Evidence-Based Clinical Practice Guidelines (2nd Edition)

  2009cited by this paper
• The evaluation and management of the solitary pulmonary nodule

  2008cited by this paper
• Management of solitary pulmonary nodule.

  2008cited by this paper
• A clinical model to estimate the pretest probability of lung cancer in patients with solitary pulmonary nodules.

  2007cited by this paper
• Validation of two models to estimate the probability of malignancy in patients with solitary pulmonary nodules

  2007influential reference
• Guidelines for management of small pulmonary nodules detected on CT scans: a statement from the Fleischner Society.

  2005cited by this paper
• Clinical prediction model to characterize pulmonary nodules: validation and added value of 18F-fluorodeoxyglucose positron emission tomography.

  2005cited by this paper
• CT screening for lung cancer: suspiciousness of nodules according to size on baseline scans.

  2004cited by this paper
• A curva ROC para testes diagnósticos

  2003cited by this paper
• Clinical practice. The solitary pulmonary nodule.

  2003cited by this paper
• Differentiation of malignant from benign solitary pulmonary lesions using chest radiography, spiral CT and HRCT.

  2000cited by this paper
• The probability of malignancy in solitary pulmonary nodules. Application to small radiologically indeterminate nodules.

  1997influential reference
• Management of the solitary pulmonary nodule.

  1993cited by this paper
• The meaning and use of the area under a receiver operating characteristic (ROC) curve.

  1982cited by this paper
• The solitary pulmonary nodule.

  1966cited by this paper

• Pulmonary nodule malignancy probability: a diagnostic accuracy meta-analysis of the Mayo model.

  2022cites this paper
• Solitary pulmonary nodule malignancy predictive models applicable to routine clinical practice: a systematic review

  2021cites this paper
• Risk-Based lung cancer screening: A systematic review.

  2020cites this paper
• The Impact Prediction Models of Neoplasia for Lung Nodules in High-Risk Patients

  2020cites this paper
• Minimally invasive interventions for pulmonary nodule biopsy: A systematic review protocol.

  2020cites this paper
• Applying Risk Prediction Models to Optimize Lung Cancer Screening: Current Knowledge, Challenges, and Future Directions

  2017cites this paper
• Limited value of logistic regression analysis in solid solitary pulmonary nodules characterization: A single‐center experience on 288 consecutive cases

  2014cites this paper
• Intrapulmonary lymph node: a common and underrecognized tomography finding

  2013cites this paper