Nonenhanced MRI-based radiomics model for preoperative prediction of nonperfused volume ratio for high-intensity focused ultrasound ablation of uterine leiomyomas

References

• Marshall LM, Spiegelman D, Barbieri RL, et al. Variation in the incidence of uterine leiomyoma among premenopausal women by age and race. Obstet Gynecol. 1997;90(6):967–973.,
   PubMed Web of Science ®Google Scholar
• Ali M, Chaudhry ZT, Al-Hendy A. Successes and failures of uterine leiomyoma drug discovery. Expert Opin Drug Discov. 2018;13(2):169–177.
   PubMed Web of Science ®Google Scholar
• Khan AT, Shehmar M, Gupta JK. Uterine fibroids: current perspectives. Int J Women's Health. 2014;6:95.
   PubMedGoogle Scholar
• Jun F, Yamin L, Xinli X, et al. Uterine artery embolization versus surgery for symptomatic uterine fibroids: a randomized controlled trial and a meta-analysis of the literature. Arch Gynecol Obstet. 2012;285(5):1407–1413.
   PubMed Web of Science ®Google Scholar
• van der Kooij SM, Bipat S, Hehenkamp WJ, et al. Uterine artery embolization versus surgery in the treatment of symptomatic fibroids: a systematic review and metaanalysis. Am J Obstet Gynecol. 2011;205(4):317.e1–e318.
   PubMed Web of Science ®Google Scholar
• R. Investigators. Uterine-artery embolization versus surgery for symptomatic uterine fibroids. New Eng J Med. 2007;356:360–370.
   PubMed Web of Science ®Google Scholar
• Manyonda IT, Bratby M, Horst JS, et al. Uterine artery embolization versus myomectomy: impact on quality of life—results of the FUME (fibroids of the uterus: myomectomy versus embolization) trial. Cardiovasc Intervent Radiol. 2012;35(3):530–536.
   PubMed Web of Science ®Google Scholar
• Cheung VY. High-intensity focused ultrasound therapy. Best Pract Res Clin Obstet Gynaecol. 2018;46:74–83.
   PubMed Web of Science ®Google Scholar
• Chen J, Li Y, Wang Z, Committee of the Clinical Trial of HIFU versus Surgical Treatment for Fibroids, et al. C.o.t.C.T.o.H.v.S.T.f. Fibroids, evaluation of high‐intensity focused ultrasound ablation for uterine fibroids: an IDEAL prospective exploration study. BJOG: Int J Obstet Gy. 2018;125(3):354–364.,
   PubMed Web of Science ®Google Scholar
• Ji Y, Hu K, Zhang Y, et al. High-intensity focused ultrasound (HIFU) treatment for uterine fibroids: a meta-analysis. Arch Gynecol Obstet. 2017;296(6):1181–1188.,
   PubMed Web of Science ®Google Scholar
• Mindjuk I, Trumm CG, Herzog P, et al. MRI predictors of clinical success in MR-guided focused ultrasound (MRgFUS) treatments of uterine fibroids: results from a single centre. Eur Radiol. 2015;25(5):1317–1328.
   PubMed Web of Science ®Google Scholar
• Kim Y-S, Lim HK, Park MJ, et al. Screening magnetic resonance imaging-based prediction model for assessing immediate therapeutic response to magnetic resonance imaging-guided high-intensity focused ultrasound ablation of uterine fibroids. Invest Radiol. 2016;51(1):15–24.,
   PubMed Web of Science ®Google Scholar
• Andrews S, Yuan Q, Bailey A, et al. Multiparametric MRI characterization of funaki types of uterine fibroids considered for MR-guided high-intensity focused ultrasound (MR-HIFU) therapy. Acad Radiol. 2019;26(4):e9–e17.,
   PubMedGoogle Scholar
• Zhao W-P, Chen J-Y, Zhang L, et al. Feasibility of ultrasound-guided high intensity focused ultrasound ablating uterine fibroids with hyperintense on T2-weighted MR imaging. Eur J Radiol. 2013;82(1):e43–e49.,
   PubMed Web of Science ®Google Scholar
• Funaki K, Fukunishi H, Funaki T, et al. Magnetic resonance-guided focused ultrasound surgery for uterine fibroids: relationship between the therapeutic effects and signal intensity of preexisting T2-weighted magnetic resonance images. Am J Obstet Gynecol. 2007;196(2):184. e181–184. e186.,
   Google Scholar
• Mikami K, Murakami T, Okada A, et al. Magnetic resonance imaging-guided focused ultrasound ablation of uterine fibroids: early clinical experience. Radiat Med. 2008;26(4):198–205.,
   PubMedGoogle Scholar
• Yoon S-W, Lee C, Kim KA, et al. Contrast-enhanced dynamic MR imaging of uterine fibroids as a potential predictor of patient eligibility for MR guided focused ultrasound (MRgFUS) treatment for symptomatic uterine fibroids. Obstet Gynecol Int. 2010;2010,
   Google Scholar
• Jha RC, Zanello PA, Ascher SM, et al. Diffusion-weighted imaging (DWI) of adenomyosis and fibroids of the uterus. Abdom Imaging. 2014;39(3):562–569.,
   PubMedGoogle Scholar
• 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.
   PubMed Web of Science ®Google Scholar
• Kim Y-S, Lim HK, Kim J-H, et al. Dynamic contrast-enhanced magnetic resonance imaging predicts immediate therapeutic response of magnetic resonance-guided high-intensity focused ultrasound ablation of symptomatic uterine fibroids. Invest Radiol. 2011;46:639–647.,
   PubMed Web of Science ®Google Scholar
• Wei C, Fang X, Wang C-B, et al. The predictive value of quantitative DCE metrics for immediate therapeutic response of high-intensity focused ultrasound ablation (HIFU) of symptomatic uterine fibroids. Abdom Radiol. 2018;43(8):2169–2175.,
   PubMed Web of Science ®Google Scholar
• Keserci B, Duc NM. Magnetic resonance imaging parameters in predicting the treatment outcome of high-intensity focused ultrasound ablation of uterine fibroids with an immediate nonperfused volume ratio of at least 90. Acad Radiol. 2018;25(10):1257–1269. %,
   PubMed Web of Science ®Google Scholar
• Lambin P, Leijenaar RT, Deist TM, et al. Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol. 2017;14(12):749–762.,
   PubMed Web of Science ®Google Scholar
• Huang Y-Q, Liang C-h, He L, et al. Development and validation of a radiomics nomogram for preoperative prediction of lymph node metastasis in colorectal cancer. J Clin Oncol. 2016;34(18):2157–2164.,
   PubMed Web of Science ®Google Scholar
• Gillies RJ, Kinahan PE, Hricak H. Radiomics: images are more than pictures, they are data. Radiology. 2016;278(2):563–577.
   PubMed Web of Science ®Google Scholar
• Li Z, Zhang J, Song Y, et al. Utilization of radiomics to predict long-term outcome of magnetic resonance-guided focused ultrasound ablation therapy in adenomyosis. Eur Radiol. 2021;31(1):392–402.,
   PubMed Web of Science ®Google Scholar
• Aerts HJ, Velazquez ER, Leijenaar RT, et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun. 2014;5(1):1–9.,
   Google Scholar
• Zwanenburg A, Vallières M, Abdalah MA, et al. The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping. Radiology. 2020;295(2):328–338.
   PubMed Web of Science ®Google Scholar
• Vallières M, Freeman CR, Skamene SR, et al. A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities. Phys Med Biol. 2015;60(14):5471–5496.,
   PubMed Web of Science ®Google Scholar
• Pavic M, Bogowicz M, Würms X, et al. Influence of inter-observer delineation variability on radiomics stability in different tumor sites. Acta Oncol. 2018;57(8):1070–1074.,
   PubMed Web of Science ®Google Scholar
• Chang Y, Lafata K, Sun W, et al. An investigation of machine learning methods in Delta-radiomics feature analysis. PLoS One. 2019;14(12):e0226348.,
   PubMed Web of Science ®Google Scholar
• Lafata K, Cai J, Wang C, et al. Spatial-temporal variability of radiomic features and its effect on the classification of lung cancer histology. Phys Med Biol. 2018;63(22):225003
   PubMed Web of Science ®Google Scholar
• Pencina MJ, D' Agostino RB, D' Agostino RB, et al. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Statist Med. 2008;27(2):157–172.,
   PubMed Web of Science ®Google Scholar
• Alba AC, Agoritsas T, Walsh M, et al. Discrimination and calibration of clinical prediction models: Users' Guides to the Medical Literature. JAMA. 2017;318(14):1377–1384.,
   PubMed Web of Science ®Google Scholar
• Wang W, Wang Y, Wang T, et al. Safety and efficacy of US-guided high-intensity focused ultrasound for treatment of submucosal fibroids. Eur Radiol. 2012;22(11):2553–2558.,
   PubMed Web of Science ®Google Scholar
• Leung JH, Yu SC, Cheung EC, et al. Safety and efficacy of sonographically guided high‐intensity focused ultrasound for symptomatic uterine fibroids: Preliminary study of a modified protocol. J Ultrasound Med. 2014;33(10):1811–1818.,
   PubMed Web of Science ®Google Scholar
• Keserci B, Duc NM. Magnetic resonance imaging features influencing high-intensity focused ultrasound ablation of adenomyosis with a nonperfused volume ratio of≥ 90% as a measure of clinical treatment success: retrospective multivariate analysis. Int J Hyperthermia. 2018;35(1):626–636.
   PubMed Web of Science ®Google Scholar
• Kim Y-S, Lee J-W, Choi CH, et al. Uterine fibroids: correlation of T2 signal intensity with semiquantitative perfusion MR parameters in patients screened for MR-guided high-intensity focused ultrasound ablation. Radiology. 2016;278(3):925–935.,
   PubMed Web of Science ®Google Scholar
• Park H, Yoon SW, Sokolov A. Scaled signal intensity of uterine fibroids based on T2-weighted MR images: a potential objective method to determine the suitability for magnetic resonance-guided focused ultrasound surgery of uterine fibroids. Eur Radiol. 2015;25(12):3455–3458.
   PubMed Web of Science ®Google Scholar
• Ueda H, Togashi K, Konishi I, et al. Unusual appearances of uterine leiomyomas: MR imaging findings and their histopathologic backgrounds. Radiographics. 1999;19 Spec No:S131–S145.
   PubMed Web of Science ®Google Scholar
• Funaki K, Fukunishi H, Funaki T, et al. Mid-term outcome of magnetic resonance-guided focused ultrasound surgery for uterine myomas: from six to twelve months after volume reduction. J Minim Invasive Gynecol. 2007;14(5):616–621.
   PubMed Web of Science ®Google Scholar
• Lénárd ZM, McDannold NJ, Fennessy FM, et al. Uterine leiomyomas: MR imaging-guided focused ultrasound surgery-imaging predictors of success. Radiology. 2008;249(1):187–194.,
   PubMed Web of Science ®Google Scholar
• Liu J, Keserci B, Yang X, et al. Volume transfer constant (K(trans)) maps from dynamic contrast enhanced MRI as potential guidance for MR-guided high intensity focused ultrasound treatment of hypervascular uterine fibroids. Magn Reson Imaging. 2014;32(9):1156–1161.,
   PubMed Web of Science ®Google Scholar
• 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.
   PubMed Web of Science ®Google Scholar