scholarly journals Multiparametric MRI analysis for the evaluation of MR-guided high intensity focused ultrasound tumor treatment

2015 ◽  
Vol 28 (9) ◽  
pp. 1125-1140 ◽  
Author(s):  
Stefanie J. C. G. Hectors ◽  
Igor Jacobs ◽  
Edwin Heijman ◽  
Jochen Keupp ◽  
Monique Berben ◽  
...  
Keyword(s):  
High Intensity ◽  
Focused Ultrasound ◽  
Multiparametric Mri ◽  
High Intensity Focused Ultrasound ◽  
Tumor Treatment

scholarly journals T1 ρ mapping for the evaluation of high intensity focused ultrasound tumor treatment

2014 ◽  
Vol 73 (4) ◽  
pp. 1593-1601 ◽  
Author(s):  
Stefanie J. C. G. Hectors ◽  
Rik P. M. Moonen ◽  
Gustav J. Strijkers ◽  
Klaas Nicolay
Keyword(s):  
High Intensity ◽  
Focused Ultrasound ◽  
High Intensity Focused Ultrasound ◽  
Tumor Treatment

Modeling and Simulation of High-Intensity Focused Ultrasound Therapy for Breast Cancer

2013 ◽  
Author(s):  
Kohei Okita ◽  
Ryuta Narumi ◽  
Takashi Azuma ◽  
Shu Takagi ◽  
Yoichiro Matsumoto
Keyword(s):  
High Intensity ◽  
Focused Ultrasound ◽  
Treatment Time ◽  
The Body ◽  
High Intensity Focused Ultrasound ◽  
Ultrasound Therapy ◽  
Tumor Treatment ◽  
Therapeutic Application ◽  
Noninvasive Treatment ◽  
Blood Brain Barrier Opening

Therapeutic application of ultrasound is of interest for a tumor treatment, thrombolysis, drag delivery, blood-brain barrier opening and so on. High-intensity focused ultrasound (HIFU) therapy has been developed as the noninvasive treatment deep cancers in particular. Issues as the defocusing and distortion of ultrasound in the body and the long treatment time in current HIFU should be resolved quickly. Numerical simulation is required for the early development of the advance HIFU system.

scholarly journals Multiparametric MRI Analysis for the Identification of High Intensity Focused Ultrasound-Treated Tumor Tissue

PLoS ONE ◽  
2014 ◽  
Vol 9 (6) ◽  
pp. e99936 ◽  
Author(s):  
Stefanie J. C. G. Hectors ◽  
Igor Jacobs ◽  
Gustav J. Strijkers ◽  
Klaas Nicolay
Keyword(s):  
High Intensity ◽  
Focused Ultrasound ◽  
Tumor Tissue ◽  
Multiparametric Mri ◽  
High Intensity Focused Ultrasound

scholarly journals Prediction of Clinical Outcome for High-Intensity Focused Ultrasound Ablation of Uterine Leiomyomas Using Multiparametric MRI Radiomics-Based Machine Leaning Model

2021 ◽  
Vol 11 ◽  
Author(s):  
Yineng Zheng ◽  
Liping Chen ◽  
Mengqi Liu ◽  
Jiahui Wu ◽  
Renqiang Yu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Predictive Value ◽  
High Intensity ◽  
Focused Ultrasound ◽  
Multiparametric Mri ◽  
Uterine Leiomyomas ◽  
High Intensity Focused Ultrasound ◽  
Hifu Ablation ◽  
Preoperative Prediction ◽  
Machine Learning Model

ObjectivesThis study sought to develop a multiparametric MRI radiomics-based machine learning model for the preoperative prediction of clinical success for high-intensity-focused ultrasound (HIFU) ablation of uterine leiomyomas.MethodsOne hundred and thirty patients who received HIFU ablation therapy for uterine leiomyomas were enrolled in this retrospective study. Radiomics features were extracted from T2-weighted (T2WI) image and ADC map derived from diffusion-weighted imaging (DWI). Three feature selection algorithms including least absolute shrinkage and selection operator (LASSO), recursive feature elimination (RFE), and ReliefF algorithm were used to select radiomics features, respectively, which were fed into four machine learning classifiers including k-nearest neighbors (KNN), logistic regression (LR), random forest (RF), and support vector machine (SVM) for the construction of outcome prediction models before HIFU treatment. The performance, predication ability, and clinical usefulness of these models were verified and evaluated using receiver operating characteristics (ROC), calibration, and decision curve analyses.ResultsThe radiomics analysis provided an effective preoperative prediction for HIFU ablation of uterine leiomyomas. Using SVM with ReliefF algorithm, the multiparametric MRI radiomics model showed the favorable performance with average accuracy of 0.849, sensitivity of 0.814, specificity of 0.896, positive predictive value (PPV) of 0.903, negative predictive value (NPV) of 0.823, and the area under the ROC curve (AUC) of 0.887 (95% CI = 0.848–0.939) in fivefold cross-validation, followed by RF with ReliefF. Calibration and decision curve analyses confirmed the potential of model in predication ability and clinical usefulness.ConclusionsThe radiomics-based machine learning model can predict preoperatively HIFU ablation response for the patients with uterine leiomyomas and contribute to determining individual treatment strategies.

scholarly journals An Introduction to High Intensity Focused Ultrasound: Systematic Review on Principles, Devices, and Clinical Applications

2020 ◽  
Vol 9 (2) ◽  
pp. 460 ◽  
Author(s):  
Zahra Izadifar ◽  
Zohreh Izadifar ◽  
Dean Chapman ◽  
Paul Babyn
Keyword(s):  
Magnetic Resonance ◽  
High Intensity ◽  
Focused Ultrasound ◽  
Malignant Tumors ◽  
Soft Tissue Sarcomas ◽  
Clinical Applications ◽  
High Intensity Focused Ultrasound ◽  
Neurosurgical Procedures ◽  
Tumor Treatment ◽  
Non Invasive

Ultrasound can penetrate deep into tissues and interact with human tissue via thermal and mechanical mechanisms. The ability to focus an ultrasound beam and its energy onto millimeter-size targets was a significant milestone in the development of therapeutic applications of focused ultrasound. Focused ultrasound can be used as a non-invasive thermal ablation technique for tumor treatment and is being developed as an option to standard oncologic therapies. High-intensity focused ultrasound has now been used for clinical treatment of a variety of solid malignant tumors, including those in the pancreas, liver, kidney, bone, prostate, and breast, as well as uterine fibroids and soft-tissue sarcomas. Magnetic resonance imaging and Ultrasound imaging can be combined with high intensity focused ultrasound to provide real-time imaging during ablation. Magnetic resonance guided focused ultrasound represents a novel non-invasive method of treatment that may play an important role as an alternative to open neurosurgical procedures for treatment of a number of brain disorders. This paper briefly reviews the underlying principles of HIFU and presents current applications, outcomes, and complications after treatment. Recent applications of Focused ultrasound for tumor treatment, drug delivery, vessel occlusion, histotripsy, movement disorders, and vascular, oncologic, and psychiatric applications are reviewed, along with clinical challenges and potential future clinical applications of HIFU.

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