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An exponential growth in incidence of thyroid cancer: trends and impact of CT imaging.

Publication ,  Journal Article
Hoang, JK; Choudhury, KR; Eastwood, JD; Esclamado, RM; Lyman, GH; Shattuck, TM; Nguyen, XV
Published in: AJNR Am J Neuroradiol
April 2014

BACKGROUND AND PURPOSE: Workup of incidental thyroid nodules detected on CT imaging could be contributing to the increased diagnosis of small thyroid cancers. The purpose of this study was to evaluate recent trends in the incidence of thyroid cancer, and to determine the relationship between annual CT imaging volume and rate of thyroid cancer diagnosis. MATERIALS AND METHODS: This retrospective cohort study used data bases for thyroid cancer and CT imaging volume. Thyroid cancer data from 1983-2009 were obtained from the Surveillance, Epidemiology, and End Results data base. National Council of Radiation Protection and Measurements Report No. 160 provided data on hospital and nonhospital CT imaging volume for 1993-2006. Trends in thyroid cancer were modeled for overall incidence on the basis of patient age, tumor histologic features, and tumor size and stage. Linear regression analysis was performed to evaluate the strength of the relationship between annual CT scan volume and the incidence of thyroid cancer by tumor size and histologic type. RESULTS: In 2009, the incidence of thyroid cancer was 14 per 100,000, which represented a 1.9-fold increase compared with 2000. The growth in incidence was exponential compared with a minimal linear increase in thyroid cancer mortality rate. The subgroup with the greatest change was subcentimeter papillary carcinoma, with doubling in incidence approximately every 6.2 years. The linear relationship between annual CT scan volume and the incidence of subcentimeter papillary carcinoma was very strong (R(2) = 0.98; P < .0001). CONCLUSIONS: The incidence of subcentimeter papillary carcinoma is growing at an exponential rate without significant change in mortality rate. The strong linear relationship between new cases of subcentimeter papillary carcinomas and the number of CT scans per year suggests that an increase in CT scans may increase the detection of incidental thyroid cancers.

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Published In

AJNR Am J Neuroradiol

DOI

EISSN

1936-959X

Publication Date

April 2014

Volume

35

Issue

4

Start / End Page

778 / 783

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Thyroid Nodule
  • Thyroid Neoplasms
  • SEER Program
  • Retrospective Studies
  • Nuclear Medicine & Medical Imaging
  • Male
  • Linear Models
  • Incidental Findings
  • Incidence
 

Citation

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Hoang, J. K., Choudhury, K. R., Eastwood, J. D., Esclamado, R. M., Lyman, G. H., Shattuck, T. M., & Nguyen, X. V. (2014). An exponential growth in incidence of thyroid cancer: trends and impact of CT imaging. AJNR Am J Neuroradiol, 35(4), 778–783. https://doi.org/10.3174/ajnr.A3743
Hoang, J. K., K. R. Choudhury, J. D. Eastwood, R. M. Esclamado, G. H. Lyman, T. M. Shattuck, and X. V. Nguyen. “An exponential growth in incidence of thyroid cancer: trends and impact of CT imaging.AJNR Am J Neuroradiol 35, no. 4 (April 2014): 778–83. https://doi.org/10.3174/ajnr.A3743.
Hoang JK, Choudhury KR, Eastwood JD, Esclamado RM, Lyman GH, Shattuck TM, et al. An exponential growth in incidence of thyroid cancer: trends and impact of CT imaging. AJNR Am J Neuroradiol. 2014 Apr;35(4):778–83.
Hoang, J. K., et al. “An exponential growth in incidence of thyroid cancer: trends and impact of CT imaging.AJNR Am J Neuroradiol, vol. 35, no. 4, Apr. 2014, pp. 778–83. Pubmed, doi:10.3174/ajnr.A3743.
Hoang JK, Choudhury KR, Eastwood JD, Esclamado RM, Lyman GH, Shattuck TM, Nguyen XV. An exponential growth in incidence of thyroid cancer: trends and impact of CT imaging. AJNR Am J Neuroradiol. 2014 Apr;35(4):778–783.

Published In

AJNR Am J Neuroradiol

DOI

EISSN

1936-959X

Publication Date

April 2014

Volume

35

Issue

4

Start / End Page

778 / 783

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Thyroid Nodule
  • Thyroid Neoplasms
  • SEER Program
  • Retrospective Studies
  • Nuclear Medicine & Medical Imaging
  • Male
  • Linear Models
  • Incidental Findings
  • Incidence