Nomogram for predicting malignancy in thyroid nodules using clinical, biochemical, ultrasonographic, and cytologic features Journal Article


Authors: Nixon, I. J.; Ganly, I.; Hann, L. E.; Lin, O.; Yu, C.; Brandt, S.; Shah, J. P.; Shaha, A.; Kattan, M. W.; Patel, S. G.
Article Title: Nomogram for predicting malignancy in thyroid nodules using clinical, biochemical, ultrasonographic, and cytologic features
Abstract: Background: Thyroid nodules often discovered incidentally and present a management problem particularly when investigations suggest atypical or suspicious cells. Prediction of the risk of malignancy within such a thyroid nodule is based on clinical, biochemical, ultrasonographic, and cytologic features. Our aim was to create a nomogram to predict accurately the chance of malignancy within a thyroid nodule. Methods: All patients with thyroid nodules who underwent ultrasonographic-guided fine needle aspiration and operative resection at our institution during 2007-2008 were identified. Clinical records, biochemical profiles, pathology reports, ultrasonographic images, and cytology slides were reviewed. A multivariate logistic regression was used to quantify the value of the variables in estimating the risk of malignancy. Results: The records of 158 patients with 190 nodules were reviewed. Eighteen nodules were excluded. The 8 variables with the greatest predictive value selected for the nomogram were biochemical (thyroid-stimulating hormone), ultrasonography (shape, echo texture, and vascularity), and cytology (nuclear grooves, pseudoinclusions, cellularity, and presence of colloid). The nomogram had an excellent predictive accuracy with a concordance index of 91%. Conclusion: We produced a nomogram that can quantify accurately the risk of malignancy in a thyroid nodule based on biochemical, ultrasonographic, and cytologic features. © 2010 Mosby, Inc. All rights reserved.
Keywords: adult; human tissue; aged; major clinical study; diagnostic accuracy; chemical analysis; reproducibility of results; cytology; diagnosis, differential; calibration; vascularization; risk assessment; nomograms; echography; predictive value of tests; multivariate analysis; thyroid neoplasms; tertiary health care; aspiration biopsy; thyroid nodule; regression analysis; nomogram; thyrotropin; colloid; oxyphil cells
Journal Title: Surgery
Volume: 148
Issue: 6
ISSN: 0039-6060
Publisher: Elsevier Inc.  
Date Published: 2010-12-01
Start Page: 1120
End Page: 1127
Language: English
DOI: 10.1016/j.surg.2010.09.030
PUBMED: 21134542
PROVIDER: scopus
DOI/URL:
Notes: --- - "Export Date: 20 April 2011" - "CODEN: SURGA" - "Source: Scopus"
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MSK Authors
  1. Ashok R Shaha
    697 Shaha
  2. Snehal G Patel
    412 Patel
  3. Oscar Lin
    307 Lin
  4. Suzanne Marie Brandt
    5 Brandt
  5. Iain James Nixon
    60 Nixon
  6. Ian Ganly
    430 Ganly
  7. Lucy E Hann
    69 Hann
  8. Jatin P Shah
    721 Shah