Have a personal or library account? Click to login
The superior value of radiomics to sonographic assessment for ultrasound-based evaluation of extrathyroidal extension in papillary thyroid carcinoma: a retrospective study Cover

The superior value of radiomics to sonographic assessment for ultrasound-based evaluation of extrathyroidal extension in papillary thyroid carcinoma: a retrospective study

Open Access
|Sep 2024

References

  1. Deng Y, Li H, Wang M, Li N, Tian T, Wu Y, et al. Global burden of thyroid cancer from 1990 to 2017. JAMA Netw Open 2020; 3: e208759. doi: 10.1001/jamanetworkopen.2020.8759
  2. Liu T, Ge X, Yu J, Guo Y, Wang Y, Wang W, et al. Comparison of the application of B-mode and strain elastography ultrasound in the estimation of lymph node metastasis of papillary thyroid carcinoma based on a radiomics approach. Int J Comput Assist Radiol Surg 2018; 13: 1617–27. doi: 10.1007/s11548-018-1796-5
  3. Liu Z, Huang Y, Chen S, Hu D, Wang M, Zhou L, et al. Minimal extrathyroidal extension affects the prognosis of differentiated thyroid cancer: Is there a need for change in the AJCC classification system? PLoS One 2019; 14: e0218171. doi: 10.1371/journal.pone.0218171
  4. Radowsky JS, Howard RS, Burch HB, Stojadinovic A. Impact of degree of extrathyroidal extension of disease on papillary thyroid cancer outcome. Thyroid 2014; 24: 241–4. doi: 10.1089/thy.2012.0567
  5. Youngwirth LM, Adam MA, Scheri RP, Roman SA, Sosa JA. Extrathyroidal extension is associated with compromised survival in patients with thyroid cancer. Thyroid 2017; 27: 626–31. doi: 10.1089/thy.2016.0132
  6. Bortz MD, Kuchta K, Winchester DJ, Prinz RA, Moo-Young TA. Extrathyroidal extension predicts negative clinical outcomes in papillary thyroid cancer. Surgery 2021; 169: 2–6. doi: 10.1016/j.surg.2020.04.003
  7. Wang X, Agyekum EA, Ren Y, Zhang J, Zhang Q, Sun H, et al. A radiomic nomogram for the ultrasound-based evaluation of extrathyroidal extension in papillary thyroid carcinoma. Front Oncol 2021; 11: 625646. doi: 10.3389/fonc.2021.625646
  8. Chen B, Zhong L, Dong D, Zheng J, Fang M, Yu C, et al. Computed tomography radiomic nomogram for preoperative prediction of extrathyroidal extension in papillary thyroid carcinoma. Front Oncol 2019; 9: 829. doi: 10.3389/fonc.2019.00829
  9. Kim M, Kim WG, Oh HS, Park S, Kwon H, Song DE, et al. Comparison of the seventh and eighth editions of the American joint committee on cancer/union for international cancer control tumor-node-metastasis staging system for differentiated thyroid cancer. Thyroid 2017; 27: 1149–55. doi: 10.1089/thy.2017.0050
  10. Lamartina L, Bidault S, Hadoux J, Guerlain J, Girard E, Breuskin I, et al. Can preoperative ultrasound predict extrathyroidal extension of differentiated thyroid cancer? Eur J Endocrinol 2021; 185: 13–22. doi: 10.1530/EJE-21-0091
  11. Kwak JY, Kim EK, Youk JH, Kim MJ, Son EJ, Choi SH, et al. Extrathyroid extension of well-differentiated papillary thyroid microcarcinoma on US. Thyroid 2008; 18: 6094. doi: 10.1089=thy.2007.0345
  12. Park JS, Son KR, Na DG, Kim E, Kim S. Performance of preoperative sonographic staging of papillary thyroid carcinoma based on the sixth edition of the AJCC/UICC TNM classification system. AJR Am J Roentgenol 2009; 192: 66–72. doi: 10.2214/AJR.07.3731
  13. Lee CY, Kim SJ, Ko KR, Chung KW, Lee JH. Predictive factors for extrathyroidal extension of papillary thyroid carcinoma based on preoperative sonography. J Ultrasound Med 2014; 33: 231–8. doi: 10.7863/ultra.33.2.231
  14. Jiang M, Li C, Tang S, Lv W, Yi A, Wang B, et al. Nomogram based on shear-wave elastography radiomics can improve preoperative cervical lymph node staging for papillary thyroid carcinoma. Thyroid 2020; 30: 885–97. doi: 10.1089/thy.2019.0780
  15. He J, Zhang H, Wang X, Sun Z, Ge Y, Wang K, et al. A pilot study of radiomics signature based on biparametric MRI for preoperative prediction of extrathyroidal extension in papillary thyroid carcinoma. J Xray Sci Technol 2021; 29: 171–83. doi: 10.3233/XST-200760
  16. Lee H, Lee EJ, Ham S, Lee HB, Lee JS, Kwon SU, et al. Machine learning approach to identify stroke within 4.5 hours. Stroke 2020; 51: 860–6. doi: 10.1161/STROKEAHA.119.027611
  17. Wang H, Song B, Ye N, Ren J, Sun X, Dai Z, et al. Machine learning-based multiparametric MRI radiomics for predicting the aggressiveness of papillary thyroid carcinoma. Eur J Radiol 2020; 122: 108755. doi: 10.1016/j.ejrad.2019.108755
  18. Kwon MR, Shin JH, Park H, Cho H, Kim E, Hahn SY. Radiomics based on thyroid ultrasound can predict distant metastasis of follicular thyroid carcinoma. J Clin Med 2020; 9: 2156. doi: 10.3390/jcm9072156
  19. Haugen BR, Alexander EK, Bible KC, Doherty GM, Mandel SJ, Nikiforov YE, et al. 2015 American thyroid association management guidelines for adult patients with thyroid nodules and differentiated thyroid cancer: The American thyroid association guidelines task force on thyroid nodules and differentiated thyroid cancer. Thyroid 2016; 26: 1–133. doi: 10.1089/thy.2015.0020
  20. Hu W, Wang H, Wei R, Wang L, Dai Z, Duan S, et al. MRI-based radiomics analysis to predict preoperative lymph node metastasis in papillary thyroid carcinoma. Gland Surg 2020; 9: 1214–26. doi: 10.21037/gs-20-479
  21. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 1988; 44: 837–45. doi: 10.2307/2531595
  22. Almeida MFO, Couto JS, Ticly ALT, Guardia VC, Marone MMS, Scalissi NM, et al. The impact of minimal extrathyroidal extension in the recurrence of papillary thyroid cancer patients. Arch Endocrinol Metab 2020; 64: 251–6. doi: 10.20945/2359-3997000000245
  23. Danilovic DLS, Castroneves LA, Suemoto CK, Elias LO, Soares IC, Camargo RY, et al. Is there a difference between minimal and gross extension into the strap muscles for the risk of recurrence in papillary thyroid carcinomas? Thyroid 2020; 30: 1008–16. doi: 10.1089/thy.2019.0753
  24. Han DY, Sohn YM, Seo M, Yun SJ, Park WS, Jeon SH, et al. Shear-wave elastography in thyroid ultrasound: Can be a predictor of extrathyroidal extension and cervical lymph node metastasis in papillary thyroid carcinoma? Medicine 2020; 99: e23654. doi: 10.1097/MD.0000000000023654
  25. Lee YC, Jung AR, Sohn YM, Kim EJ, Eun YG. Ultrasonographic features associated with false-negative and false-positive results of extrathyroidal extensions in papillary thyroid microcarcinoma. Eur Arch Otorhinolaryngol 2018; 275: 2817–22. doi: 10.1007/s00405-018-5115-0
  26. Hu S, Zhang H, Sun Z, Ge Y, Li J, Yu C, et al. Preoperative assessment of extrathyroidal extension of papillary thyroid carcinomas by ultrasound and magnetic resonance imaging: a comparative study. Radiol Med 2020; 125: 870–6. doi: 10.1007/s11547-020-01184-0
  27. Nazari M, Shiri I, Hajianfar G, Oveisi N, Abdollahi H, Deevband MR, et al. Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning. Radiol Med 2020; 125: 754–62. doi: 10.1007/s11547-020-01169-z
  28. Osapoetra LO, Chan W, Tran W, Kolios MC, Czarnota GJ. Comparison of methods for texture analysis of QUS parametric images in the characterization of breast lesions. PLoS One 2020; 15: e0244965. doi: 10.1371/journal.pone.0244965
  29. Dinapoli N, Barbaro B, Gatta R, Chiloiro G, Casa C, Masciocchi C, et al. Magnetic resonance, vendor-independent, intensity histogram analysis predicting pathologic complete response after radiochemotherapy of rectal cancer. Int J Radiat Oncol Biol Phys 2018; 102: 765–74. doi: 10.1016/j.ijrobp.2018.04.065
  30. Suo S-T, Zhuang Z-G, Cao M-Q, Qian L-J, Wang X, Gao R-L, et al. Differentiation of pyogenic hepatic abscesses from malignant mimickers using multislice-based texture acquired from contrast-enhanced computed tomography. Hepatobiliary & Pancreatic Diseases International 2016; 15: 391–8. doi: 10.1016/s1499-3872(15)60031-5
  31. Vuong D, Tanadini-Lang S, Huellner MW, Veit-Haibach P, Unkelbach J, Andratschke N, et al. Interchangeability of radiomic features between [18F]-FDG PET/CT and [18F]-FDG PET/MR. Med Phys 2019; 46: 1677–85. doi: 10.1002/mp.13422
DOI: https://doi.org/10.2478/raon-2024-0040 | Journal eISSN: 1581-3207 | Journal ISSN: 1318-2099
Language: English
Page range: 386 - 396
Submitted on: Apr 4, 2024
|
Accepted on: Jul 1, 2024
|
Published on: Sep 15, 2024
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Hui Zhu, Hongxia Luo, Yanyan Li, Yuhua Zhang, Zhijing Wu, Yan Yang, published by Association of Radiology and Oncology
This work is licensed under the Creative Commons Attribution 4.0 License.