mutation combined with American College of Radiology thyroid imaging report and data system significantly changes surgical resection rate and risk of malignancy in thyroid cytopathology practice.

Yun Zhu, Hongxun Wu, Botao Huang, Xin Shen, Gangming Cai, Xiaobo Gu
Author Information
  1. Yun Zhu: Department of Pathology, Jiangyuan Hospital Affiliated to Jiangsu Institute of Nuclear Medicine, Wuxi, China.
  2. Hongxun Wu: Department of Ultrasound, Jiangyuan Hospital Affiliated to Jiangsu Institute of Nuclear Medicine, Wuxi, China.
  3. Botao Huang: Department of Pathology, Jiangyuan Hospital Affiliated to Jiangsu Institute of Nuclear Medicine, Wuxi, China.
  4. Xin Shen: Department of Pathology, Jiangyuan Hospital Affiliated to Jiangsu Institute of Nuclear Medicine, Wuxi, China.
  5. Gangming Cai: Clinical Molecular Biology Laboratory, Jiangyuan Hospital Affiliated to Jiangsu Institute of Nuclear Medicine, Wuxi, China.
  6. Xiaobo Gu: Clinical Molecular Biology Laboratory, Jiangyuan Hospital Affiliated to Jiangsu Institute of Nuclear Medicine, Wuxi, China.

Abstract

BACKGROUND: Ultrasonography patterns and molecular testing may assist in stratifying the malignancy risk of indeterminate cytology diagnosis. The purpose of this study was to assess the value of fine needle aspiration (FNA) cytology in combination with American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) and mutation in differentiating high-risk thyroid nodules.
METHODS: From February 2010 to February 2014, 2,643 consecutive thyroid nodules from 2,399 patients (688 men and 1,711 women; mean age, 44.3±12.5 years) who underwent preoperative FNA biopsies were enrolled. The Jiangsu Institute of Nuclear Medicine has adopted TI-RADS stratification and mutation analysis as a routine procedure to assist in evaluating FNA cytopathology since January 2016. From February 2017 to July 2018, 1,905 thyroid nodules of 1,837 patients (501 men and 1,336 women, 49.5±12.8 years) who underwent preoperative ultrasound-guided FNA biopsies with mutation analysis and ACR TI-RADS grading data available were enrolled for comparison in this study.
RESULTS: The cancer risk in nodules with mutation was 99.7% (905/908) according to the histological findings. The risk of malignancy (ROM) was found to increase with advancing ACR TI-RADS category. High-risk ultrasound features (TI-RADS 5) did show a good performance in predicting malignancy (98.1%). The combination of TI-RADS 5 and mutation reached the best diagnostic efficiency [sensitivity 97.7%, specificity 94.8%, positive predictive value (PPV) 99.6%]. It is apparent that after the implementation of ACR TI-RADS and the mutation analysis, the resection rates (RRs) of The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) I and III categories showed significant decreases (39.1% 21.6% and 36.1% 16.7%, respectively). In contrast, the risks of malignancy of TBSRTC I and III categories indicated substantial increases (41.5% 80.0% and 34.6% 50.0%, respectively). The ROM of thyroid nodules with nondiagnostic (ND, I) category showed the most significant increase of 41.5% to 80.0%.
CONCLUSIONS: ACR TI-RADS, together with mutation and cytological diagnoses, can assist in improving the prediction of malignancy of thyroid nodules, especially in the TBSRTC I and III categories.

Keywords

References

  1. Cytopathology. 2017 Dec;28(6):455-466 [PMID: 29094782]
  2. Thyroid. 2017 Jul;27(7):953-959 [PMID: 28463597]
  3. Surgery. 2014 Oct;156(4):967-70 [PMID: 25074360]
  4. Eur Thyroid J. 2019 Apr;8(2):83-89 [PMID: 31192147]
  5. Arch Pathol Lab Med. 2016 Oct;140(10):1121-31 [PMID: 27684984]
  6. Radiology. 2011 Sep;260(3):892-9 [PMID: 21771959]
  7. J Pathol Transl Med. 2017 Nov;51(6):517-520 [PMID: 29046516]
  8. J Clin Endocrinol Metab. 2009 May;94(5):1748-51 [PMID: 19276237]
  9. Thyroid. 2016 Jan;26(1):1-133 [PMID: 26462967]
  10. Eur J Endocrinol. 2018 Jun;178(6):595-603 [PMID: 29626008]
  11. J Clin Endocrinol Metab. 2019 Jan 1;104(1):95-102 [PMID: 30299457]
  12. World J Surg. 2012 Feb;36(2):310-7 [PMID: 22190222]
  13. PLoS One. 2019 Jul 11;14(7):e0219383 [PMID: 31295281]
  14. Hum Pathol. 2015 Oct;46(10):1443-54 [PMID: 26232865]
  15. J Pathol Transl Med. 2017 Nov;51(6):571-578 [PMID: 29073758]
  16. Thyroid. 2013 Feb;23(2):194-200 [PMID: 22928739]
  17. Diagn Cytopathol. 2019 Sep;47(9):876-880 [PMID: 31074206]
  18. Radiology. 2015 Jan;274(1):287-95 [PMID: 25133852]
  19. Gland Surg. 2016 Jun;5(3):270-7 [PMID: 27294033]
  20. Sci Rep. 2015 Nov 24;5:16927 [PMID: 26597052]
  21. Eur J Surg Oncol. 2017 Jul;43(7):1219-1227 [PMID: 27923591]
  22. Thyroid. 2009 Nov;19(11):1159-65 [PMID: 19888858]
  23. AJR Am J Roentgenol. 2018 Jul;211(1):162-167 [PMID: 29702015]
  24. J Clin Endocrinol Metab. 2009 Jun;94(6):2092-8 [PMID: 19318445]
  25. Thyroid. 2017 Apr;27(4):481-483 [PMID: 28114862]
  26. Expert Rev Endocrinol Metab. 2014 Mar;9(2):97-110 [PMID: 30743753]
  27. J Clin Endocrinol Metab. 2012 Jul;97(7):2354-61 [PMID: 22535974]
  28. J Pathol Transl Med. 2017 Nov;51(6):528-532 [PMID: 29046513]
  29. Thyroid. 2005 Mar;15(3):274-8 [PMID: 15785247]
  30. Thyroid. 2017 Nov;27(11):1341-1346 [PMID: 29091573]
  31. Acta Cytol. 2012;56(4):333-9 [PMID: 22846422]
  32. Head Neck. 2018 Sep;40(9):1881-1888 [PMID: 29947030]
  33. Acta Cytol. 2007 Nov-Dec;51(6):850-2 [PMID: 18077975]
  34. Korean J Radiol. 2016 May-Jun;17(3):370-95 [PMID: 27134526]
  35. Cancer Cytopathol. 2020 Apr;128(4):238-249 [PMID: 31883438]
  36. J Clin Endocrinol Metab. 2008 Oct;93(10):3943-9 [PMID: 18682506]
  37. J Am Coll Radiol. 2017 May;14(5):587-595 [PMID: 28372962]

Word Cloud

Created with Highcharts 10.0.0TI-RADSmutationmalignancythyroidACRnodulesriskFNA1assistAmericanCollegeRadiologyThyroidReportingSystemFebruary5analysis7%ROM1%TBSRTCIIIcategories0%cytologystudyvaluefineneedleaspirationcombinationImagingData2patientsmenwomenyearsunderwentpreoperativebiopsiesenrolledcytopathologydata99increasecategoryresectionshowedsignificant6%respectively415%80BACKGROUND:Ultrasonographypatternsmoleculartestingmaystratifyingindeterminatediagnosispurposeassessdifferentiatinghigh-riskMETHODS:20102014643consecutive399688711meanage443±12JiangsuInstituteNuclearMedicineadoptedstratificationroutineprocedureevaluatingsinceJanuary20162017July2018905837501336495±128ultrasound-guidedgradingavailablecomparisonRESULTS:cancer905/908accordinghistologicalfindingsfoundadvancingHigh-riskultrasoundfeaturesshowgoodperformancepredicting98reachedbestdiagnosticefficiency[sensitivity97specificity948%positivepredictivePPV6%]apparentimplementationratesRRsBethesdaCytopathologydecreases39213616contrastrisksindicatedsubstantialincreases3450nondiagnosticNDCONCLUSIONS:togethercytologicaldiagnosescanimprovingpredictionespeciallycombinedimagingreportsystemsignificantlychangessurgicalratepracticeBRAFV600E

Similar Articles

Cited By