ArticleEuropean radiology2021
Utilization of radiomics to predict long-term outcome of magnetic resonance-guided focused ultrasound ablation therapy in adenomyosis.
Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Prediction of Anemia in Adenomyosis Patients Using Transvaginal Ultrasound Radiomics.Diagnostics (Basel, Switzerland) · 2026Article
- Development and validation of a clinical prediction model for the success of focused ultrasound ablation system for the treatment of adenomyosis.Scientific reports · 2026Article
- Navigating transcranial mr guided focused ultrasound complexities with machine learning: Overcoming obstacles and expanding therapeutic horizons.Neurosurgical review · 2026Review
- [Enhancement of radiomics-based machine learning models for predicting efficacy of high-intensity focused ultrasound ablation of uterine fibroids using undersampling methods].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026Article
- Magnetic resonance-guided focused ultrasound surgery for adenomyosis: current evidence and future directions.Frontiers in medicine · 2026Review
- Development and validation of MRI-based radiomics model for clinical symptom stratification of extrinsic adenomyosis.Annals of medicine · 2025Article
- Machine learning-based predictive analysis of energy efficiency factors necessary for the HIFU treatment of adenomyosis.Frontiers in physiology · 2025Article
- Diffusion-weighted imaging as a non-gadolinium alternative for immediate assessing nonperfused area of adenomyosis after magnetic resonance-guided focused ultrasound (MRgFUS) ablation: a potential technique but with slightly overestimate.Quantitative imaging in medicine and surgery · 2024Article
- MRI-Based Radiomics as a Promising Noninvasive Diagnostic Technique for Adenomyosis.Journal of clinical medicine · 2024Article
- Development and validation of a radiomics model based on T2-weighted imaging for predicting the efficacy of high intensity focused ultrasound ablation in uterine fibroids.Quantitative imaging in medicine and surgery · 2024Article
- Evaluation of the neoadjuvant chemotherapy response in osteosarcoma using the MRI DWI-based machine learning radiomics nomogram.Frontiers in oncology · 2024Article
- Deep learning-enhanced radiomics for histologic classification and grade stratification of stage IA lung adenocarcinoma: a multicenter study.Frontiers in oncology · 2023Article
- MRI-Based Radiomics Analysis for Intraoperative Risk Assessment in Gravid Patients at High Risk with Placenta Accreta Spectrum.Diagnostics (Basel, Switzerland) · 2022Article
- Ultrasound radiomics features predicting the dosimetry for focused ultrasound surgery of benign breast tumor: A retrospective study.Frontiers in genetics · 2022Article
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9 authors.
Funding
Abstract
objectiveTo develop and evaluate a T MATERIALS AND
methodsSixty-nine patients (mean age, 38.6 years; age range, 26-50 years) with adenomyosis treated by MRgFUS were reviewed and allocated to training (n = 48) and testing cohorts (n = 21). One thousand one hundred eighteen radiomics features were extracted from T
resultsGood response was achieved in 47 patients (68.1%) and failed in 22 patients (38.9%). The radiomics model comprised four selected features and demonstrated a degree of prediction capability of patients' poor response to MRgFUS treatment. The radiomics-clinical model showed good discrimination, with an AUC of 0.81 (95% confidence interval, 0.592-0.975) in the testing cohort. The decision curve analysis also showed favorable performance of the radiomics-clinical model.
conclusionsA prediction model composed of T2WI-based radiomics features and clinical parameters could be applied to guide the radiologist to evaluate MRgFUS for patients with adenomyosis who will achieve good response. KEY POINTS: • Magnetic resonance imaging-guided focused ultrasound surgery represents an alternative treatment for adenomyosis, but nearly one third of patients remain symptomatic 6 months after MRgFUS. • Combining four radiomics features of T
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