Increasing diagnostic accuracy for thyroid nodules by an integrated multivariate approach: a methodological study

Clin Ter. 2011;162(1):31-5.

Abstract

Objectives: Current guidelines for diagnostic management of thyroid nodules are based on a linear approach, using categorial classifications to cluster diagnostic findings and they still lead to unnecessary surgery. A diagnostic scoring system, based on clinical, cytological and ultrasound findings is described.

Materials and methods: Two groups of patients (168 and 55 pts) were used to compute a multivariate model and the discriminating threshold by ROC curves. The performance of the derived scoring system was assessed by a simulation on a third group of 60 patients, who had undergone surgery according to current guidelines.

Results: The scoring system displayed a sensitivity of 100%, specificity 53.3%, positive and negative predictive values of 68.1% and 100%. According to the scoring system, 16 out of 60 operations would have been saved.

Conclusions: A scoring system can take into account in a more accurate way the full informative content of the fine-grained description of diagnostic and clinical features.

Publication types

  • Evaluation Study

MeSH terms

  • Adult
  • Aged
  • Biopsy, Fine-Needle
  • Decision Support Techniques
  • Diagnosis, Differential
  • Female
  • Humans
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Practice Guidelines as Topic
  • Predictive Value of Tests
  • ROC Curve
  • Retrospective Studies
  • Sensitivity and Specificity
  • Severity of Illness Index
  • Thyroid Diseases / diagnosis
  • Thyroid Neoplasms / diagnosis*
  • Thyroid Neoplasms / surgery
  • Thyroid Nodule / diagnosis*
  • Thyroid Nodule / diagnostic imaging
  • Thyroid Nodule / pathology
  • Thyroid Nodule / surgery
  • Thyroidectomy
  • Ultrasonography
  • Unnecessary Procedures