1,437
Views
1
CrossRef citations to date
0
Altmetric
Research Article

Development and validation of a combined model based on dual-sequence MRI radiomics for predicting the efficacy of high-intensity focused ultrasound ablation for hysteromyoma

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Article: 2149862 | Received 13 Sep 2022, Accepted 13 Nov 2022, Published online: 19 Dec 2022

References

  • Stewart EA, Cookson CL, Gandolfo RA, et al. Epidemiology of uterine fibroids: a systematic review. BJOG. 2017;124(10):1501–1512.
  • Donnez J, Dolmans MM. Uterine fibroid management: from the present to the future. Hum Reprod Update. 2016;22(6):665–686.
  • Giuliani E, As-Sanie S, Marsh EE. Epidemiology and management of uterine fibroids. Int J Gynaecol Obstet. 2020;149(1):3–9.
  • De La Cruz MS, Buchanan EM. Uterine fibroids: diagnosis and treatment. Am Fam Physician. 2017;95(2):100–107.
  • Wang Y, Zhang S, Li C, et al. Minimally invasive surgery for uterine fibroids. Ginekol Pol. 2020;91(3):149–157.
  • Islam MS, Ciavattini A, Petraglia F, et al. Extracellular matrix in uterine leiomyoma pathogenesis: a potential target for future therapeutics. Hum Reprod Update. 2018;24(1):59–85.
  • Anneveldt KJ, van 't Oever HJ, Nijholt IM, et al. Systematic review of reproductive outcomes after high intensity focused ultrasound treatment of uterine fibroids. Eur J Radiol. 2021;141:109801.
  • Napoli A, Alfieri G, Andrani F, et al. Uterine myomas: focused ultrasound surgery. Semin Ultrasound CT MR. 2021;42(1):25–36.
  • Lee KW. The Asian perspective on HIFU. Int J Hyperthermia. 2021;38(2):5–8.
  • Jeng CJ, Ou KY, Long CY, et al. 500 cases of high-intensity focused ultrasound (HIFU) ablated uterine fibroids and adenomyosis. Taiwan J Obstet Gynecol. 2020;59(6):865–871.
  • Marinova M, Ghaei S, Recker F, et al. Efficacy of ultrasound-guided high-intensity focused ultrasound (USgHIFU) for uterine fibroids: an observational single-center study. Int J Hyperthermia. 2021;38(2):30–38.
  • Kim YS. Clinical application of high-intensity focused ultrasound ablation for uterine fibroids. Biomed Eng Lett. 2017;7(2):99–105.
  • Sainio T, Saunavaara J, Komar G, et al. Feasibility of apparent diffusion coefficient in predicting the technical outcome of MR-guided high-intensity focused ultrasound treatment of uterine fibroids – a comparison with the Funaki classification. Int J Hyperthermia. 2021;38(1):85–94.
  • Liao D, Xiao Z, Lv F, et al. Non-contrast enhanced MRI for assessment of uterine fibroids’ early response to ultrasound-guided high-intensity focused ultrasound thermal ablation. Eur J Radiol. 2020;122:108670.
  • Wu G, Jochems A, Refaee T, et al. Structural and functional radiomics for lung cancer. Eur J Nucl Med Mol Imaging. 2021;48(12):3961–3974.
  • Lafata KJ, Wang Y, Konkel B, et al. Radiomics: a primer on high-throughput image phenotyping. Abdom Radiol. 2021;47(9):2986–3002.
  • Lambin P, Leijenaar R, Deist TM, et al. Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol. 2017;14(12):749–762.
  • Zheng Y, Chen L, Liu M, et al. Nonenhanced MRI-based radiomics model for preoperative prediction of nonperfused volume ratio for high-intensity focused ultrasound ablation of uterine leiomyomas. Int J Hyperthermia. 2021;38(1):1349–1358.
  • Zheng Y, Chen L, Liu M, et al. Prediction of clinical outcome for high-intensity focused ultrasound ablation of uterine leiomyomas using multiparametric MRI radiomics-based machine leaning model. Front Oncol. 2021;11:618604.
  • Keserci B, Duc NM, Nadarajan C, et al. Volumetric MRI-guided, high-intensity focused ultrasound ablation of uterine leiomyomas: ASEAN preliminary experience. Diagn Interv Radiol. 2020;26(3):207–215.
  • Orsini LF, Salardi S, Pilu G, et al. Pelvic organs in premenarcheal girls: real-time ultrasonography. Radiology. 1984;153(1):113–116.
  • Wei C, Li N, Shi B, et al. The predictive value of conventional MRI combined with radiomics in the immediate ablation rate of HIFU treatment for uterine fibroids. Int J Hyperthermia. 2022;39(1):475–484.
  • Che D, Yang Z, Wei H, et al. The Adler grade by Doppler ultrasound is associated with clinical pathology of cervical cancer: implication for clinical management. PLOS One. 2020;15(8):e236725.
  • Zhao WP, Chen JY, Chen WZ. Effect of biological characteristics of different types of uterine fibroids, as assessed with T2-weighted magnetic resonance imaging, on ultrasound-guided high-intensity focused ultrasound ablation. Ultrasound Med Biol. 2015;41(2):423–431.
  • Mayerhoefer ME, Materka A, Langs G, et al. Introduction to radiomics. J Nucl Med. 2020;61(4):488–495.
  • Bortolotto C, Lancia A, Stelitano C, et al. Radiomics features as predictive and prognostic biomarkers in NSCLC. Expert Rev Anticancer Ther. 2021;21(3):257–266.
  • Huang H, Ran J, Xiao Z, et al. Reasons for different therapeutic effects of high-intensity focused ultrasound ablation on excised uterine fibroids with different signal intensities on T2-weighted MRI: a study of histopathological characteristics. Int J Hyperthermia. 2019;36(1):477–484.
  • Oguchi O, Mori A, Kobayashi Y, et al. Prediction of histopathologic features and proliferative activity of uterine leiomyoma by magnetic resonance imaging prior to GnRH analogue therapy: correlation between T2-weighted images and effect of GnRH analogue. J Obstet Gynaecol (Tokyo 1995). 1995;21(2):107–117.
  • Zhao WP, Chen JY, Chen WZ. Dynamic contrast-enhanced MRI serves as a predictor of HIFU treatment outcome for uterine fibroids with hyperintensity in T2-weighted images. Exp Ther Med. 2016;11(1):328–334.
  • Andreozzi A, Brunese L, Iasiello M, et al. Modeling heat transfer in tumors: a review of thermal therapies. Ann Biomed Eng. 2019;47(3):676–693.
  • Pennes HH. Analysis of tissue and arterial blood temperatures in the resting human forearm. 1948. J Appl Physiol (1985). 1998;85(1):5–34.
  • Keserci B, Duc NM. The role of T1 perfusion-based classification in magnetic resonance-guided high-intensity focused ultrasound ablation of uterine fibroids. Eur Radiol. 2017;27(12):5299–5308.
  • Hou L, Zhou W, Ren J, et al. Radiomics analysis of multiparametric MRI for the preoperative prediction of lymph node metastasis in cervical cancer. Front Oncol. 2020;10:1393.
  • Zhao Y, Wang N, Wu J, et al. Radiomics analysis based on contrast-enhanced MRI for prediction of therapeutic response to transarterial chemoembolization in hepatocellular carcinoma. Front Oncol. 2021;11:582788.