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Slotman DJ, Bartels LW, Nijholt IM, Huirne JAF, Moonen CTW, Boomsma MF. Development and validation of a deep learning-based method for automatic measurement of uterus, fibroid, and ablated volume in MRI after MR-HIFU treatment of uterine fibroids. Eur J Radiol 2024; 178:111602. [PMID: 38991285 DOI: 10.1016/j.ejrad.2024.111602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 06/21/2024] [Accepted: 07/02/2024] [Indexed: 07/13/2024]
Abstract
INTRODUCTION The non-perfused volume divided by total fibroid load (NPV/TFL) is a predictive outcome parameter for MRI-guided high-intensity focused ultrasound (MR-HIFU) treatments of uterine fibroids, which is related to long-term symptom relief. In current clinical practice, the MR-HIFU outcome parameters are typically determined by visual inspection, so an automated computer-aided method could facilitate objective outcome quantification. The objective of this study was to develop and evaluate a deep learning-based segmentation algorithm for volume measurements of the uterus, uterine fibroids, and NPVs in MRI in order to automatically quantify the NPV/TFL. MATERIALS AND METHODS A segmentation pipeline was developed and evaluated using expert manual segmentations of MRI scans of 115 uterine fibroid patients, screened for and/or undergoing MR-HIFU treatment. The pipeline contained three separate neural networks, one per target structure. The first step in the pipeline was uterus segmentation from contrast-enhanced (CE)-T1w scans. This segmentation was subsequently used to remove non-uterus background tissue for NPV and fibroid segmentation. In the following step, NPVs were segmented from uterus-only CE-T1w scans. Finally, fibroids were segmented from uterus-only T2w scans. The segmentations were used to calculate the volume for each structure. Reliability and agreement between manual and automatic segmentations, volumes, and NPV/TFLs were assessed. RESULTS For treatment scans, the Dice similarity coefficients (DSC) between the manually and automatically obtained segmentations were 0.90 (uterus), 0.84 (NPV) and 0.74 (fibroid). Intraclass correlation coefficients (ICC) were 1.00 [0.99, 1.00] (uterus), 0.99 [0.98, 1.00] (NPV) and 0.98 [0.95, 0.99] (fibroid) between manually and automatically derived volumes. For manually and automatically derived NPV/TFLs, the mean difference was 5% [-41%, 51%] (ICC: 0.66 [0.32, 0.85]). CONCLUSION The algorithm presented in this study automatically calculates uterus volume, fibroid load, and NPVs, which could lead to more objective outcome quantification after MR-HIFU treatments of uterine fibroids in comparison to visual inspection. When robustness has been ascertained in a future study, this tool may eventually be employed in clinical practice to automatically measure the NPV/TFL after MR-HIFU procedures of uterine fibroids.
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Affiliation(s)
- Derk J Slotman
- Department of Radiology, Isala, Zwolle, the Netherlands; Imaging & Oncology Division, University Medical Center Utrecht, Utrecht, the Netherlands.
| | - Lambertus W Bartels
- Imaging & Oncology Division, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Ingrid M Nijholt
- Department of Radiology, Isala, Zwolle, the Netherlands; Imaging & Oncology Division, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Judith A F Huirne
- Department of Obstetrics and Gynaecology, Amsterdam UMC, Amsterdam, the Netherlands; Amsterdam Reproduction and Development, Amsterdam, the Netherlands
| | - Chrit T W Moonen
- Imaging & Oncology Division, University Medical Center Utrecht, Utrecht, the Netherlands; Focused Ultrasound Foundation, Charlottesville, VA, United States of America
| | - Martijn F Boomsma
- Department of Radiology, Isala, Zwolle, the Netherlands; Imaging & Oncology Division, University Medical Center Utrecht, Utrecht, the Netherlands
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Slotman DJ, Bartels LW, Nijholt IM, Froeling M, Huirne JAF, Moonen CTW, Boomsma MF. Intravoxel incoherent motion (IVIM)-derived perfusion fraction mapping for the visual evaluation of MR-guided high intensity focused ultrasound (MR-HIFU) ablation of uterine fibroids. Int J Hyperthermia 2024; 41:2321980. [PMID: 38616245 DOI: 10.1080/02656736.2024.2321980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 02/19/2024] [Indexed: 04/16/2024] Open
Abstract
BACKGROUND A method for periprocedural contrast agent-free visualization of uterine fibroid perfusion could potentially shorten magnetic resonance-guided high intensity focused ultrasound (MR-HIFU) treatment times and improve outcomes. Our goal was to test feasibility of perfusion fraction mapping by intravoxel incoherent motion (IVIM) modeling using diffusion-weighted MRI as method for visual evaluation of MR-HIFU treatment progression. METHODS Conventional and T2-corrected IVIM-derived perfusion fraction maps were retrospectively calculated by applying two fitting methods to diffusion-weighted MRI data (b = 0, 50, 100, 200, 400, 600 and 800 s/mm2 at 1.5 T) from forty-four premenopausal women who underwent MR-HIFU ablation treatment of uterine fibroids. Contrast in perfusion fraction maps between areas with low perfusion fraction and surrounding tissue in the target uterine fibroid immediately following MR-HIFU treatment was evaluated. Additionally, the Dice similarity coefficient (DSC) was calculated between delineated areas with low IVIM-derived perfusion fraction and hypoperfusion based on CE-T1w. RESULTS Average perfusion fraction ranged between 0.068 and 0.083 in areas with low perfusion fraction based on visual assessment, and between 0.256 and 0.335 in surrounding tissues (all p < 0.001). DSCs ranged from 0.714 to 0.734 between areas with low perfusion fraction and the CE-T1w derived non-perfused areas, with excellent intraobserver reliability of the delineated areas (ICC 0.97). CONCLUSION The MR-HIFU treatment effect in uterine fibroids can be visualized using IVIM perfusion fraction mapping, in moderate concordance with contrast enhanced MRI. IVIM perfusion fraction mapping has therefore the potential to serve as a contrast agent-free imaging method to visualize the MR-HIFU treatment progression in uterine fibroids.
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Affiliation(s)
- Derk J Slotman
- Department of Radiology, Isala Hospital, Zwolle, The Netherlands
- Imaging & Oncology Division, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Lambertus W Bartels
- Imaging & Oncology Division, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Ingrid M Nijholt
- Department of Radiology, Isala Hospital, Zwolle, The Netherlands
- Imaging & Oncology Division, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Martijn Froeling
- Imaging & Oncology Division, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Judith A F Huirne
- Department of Obstetrics and Gynaecology, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Reproduction and Development, Amsterdam UMC, Amsterdam, The Netherlands
| | - Chrit T W Moonen
- Imaging & Oncology Division, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Martijn F Boomsma
- Department of Radiology, Isala Hospital, Zwolle, The Netherlands
- Imaging & Oncology Division, University Medical Center Utrecht, Utrecht, The Netherlands
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Li C, He Z, Lv F, Liu Y, Hu Y, Zhang J, Liu H, Ma S, Xiao Z. An interpretable MRI-based radiomics model predicting the prognosis of high-intensity focused ultrasound ablation of uterine fibroids. Insights Imaging 2023; 14:129. [PMID: 37466728 DOI: 10.1186/s13244-023-01445-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 04/28/2023] [Indexed: 07/20/2023] Open
Abstract
BACKGROUND Accurate preoperative assessment of the efficacy of high-intensity focused ultrasound (HIFU) ablation for uterine fibroids is essential for good treatment results. The aim of this study was to develop robust radiomics models for predicting the prognosis of HIFU-treated uterine fibroids and to explain the internal predictive process of the model using Shapley additive explanations (SHAP). METHODS This retrospective study included 300 patients with uterine fibroids who received HIFU and were classified as having a favorable or unfavorable prognosis based on the postoperative nonperfusion volume ratio. Patients were divided into a training set (N = 240) and a test set (N = 60). The 1295 radiomics features were extracted from T2-weighted imaging (T2WI) and contrast-enhanced T1-weighted imaging (CE-T1WI) scans. After data preprocessing and feature filtering, radiomics models were constructed by extreme gradient boosting and light gradient boosting machine (LightGBM), and the optimal performance was obtained by Bayesian optimization. Finally, the SHAP approach was used to explain the internal prediction process. RESULTS The models constructed using LightGBM had the best performance, and the AUCs of the T2WI and CE-T1WI models were 87.2 (95% CI = 87.1-87.5) and 84.8 (95% CI = 84.6-85.7), respectively. The use of SHAP technology can help physicians understand the impact of radiomic features on the predicted outcomes of the model from a global and individual perspective. CONCLUSION Multiparametric radiomic models have shown their robustness in predicting HIFU prognosis. Radiomic features can be a potential source of biomarkers to support preoperative assessment of HIFU treatment and improve the understanding of uterine fibroid heterogeneity. CLINICAL RELEVANCE STATEMENT An interpretable radiomics model can help clinicians to effectively predict the prognosis of HIFU treatment for uterine fibroids. The heterogeneity of fibroids can be characterized by various radiomics features and the application of SHAP can be used to visually explain the prediction process of radiomics models.
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Affiliation(s)
- Chengwei Li
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China
| | - Zhimin He
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China
| | - Fajin Lv
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yang Liu
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China
| | - Yan Hu
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China
| | - Jian Zhang
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China
| | - Hui Liu
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China
| | - Si Ma
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China
| | - Zhibo Xiao
- State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China.
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
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Huang BS, Hsieh CY, Chai WY, Lin Y, Huang YL, Lu KY, Chiang HJ, Schulte RF, Lin CYE, Lin G. Comparing Magnetic Resonance Fingerprinting (MRF) and the MAGiC Sequence for Simultaneous T1 and T2 Quantitative Measurements in the Female Pelvis: A Prospective Study. Diagnostics (Basel) 2023; 13:2147. [PMID: 37443541 DOI: 10.3390/diagnostics13132147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 05/29/2023] [Accepted: 06/21/2023] [Indexed: 07/15/2023] Open
Abstract
The aim of this study was to explore the potential of magnetic resonance fingerprinting (MRF), an emerging quantitative MRI technique, in measuring relaxation values of female pelvic tissues compared to the conventional magnetic resonance image compilation (MAGiC) sequence. The study included 32 female patients who underwent routine pelvic MRI exams using anterior and posterior array coils on a 3T clinical scanner. Our findings demonstrated significant correlations between MRF and MAGiC measured T1 and T2 values (p < 0.0001) for various pelvic tissues, including ilium, femoral head, gluteus, obturator, iliopsoas, erector spinae, uterus, cervix, and cutaneous fat. The tissue contrasts generated from conventional MRI and synthetic MRF also showed agreement in bone, muscle, and uterus for both T1-weighted and T2-weighted images. This study highlights the strengths of MRF in providing simultaneous T1 and T2 mapping. MRF offers distinct tissue contrast and has the potential for accurate diagnosis of female pelvic diseases, including tumors, fibroids, endometriosis, and pelvic inflammatory disease. Additionally, MRF shows promise in monitoring disease progression or treatment response. Overall, the study demonstrates the potential of MRF in the field of female pelvic organ imaging and suggests that it could be a valuable addition to the clinical practice of pelvic MRI exams. Further research is needed to establish the clinical utility of MRF and to develop standardized protocols for its implementation in clinical practice.
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Affiliation(s)
- Bo-Syuan Huang
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan 33382, Taiwan
| | - Ching-Yi Hsieh
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan 33382, Taiwan
- Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan
| | - Wen-Yen Chai
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan 33382, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, 5 Fuhsing St., Guishan, Taoyuan 33382, Taiwan
| | - Yenpo Lin
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan 33382, Taiwan
| | - Yen-Ling Huang
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan 33382, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, 5 Fuhsing St., Guishan, Taoyuan 33382, Taiwan
| | - Kuan-Ying Lu
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan 33382, Taiwan
- Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, 5 Fuhsing St., Guishan, Taoyuan 33382, Taiwan
| | - Hsin-Ju Chiang
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan 33382, Taiwan
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, 5 Fuhsing St., Guishan, Taoyuan 33382, Taiwan
| | | | | | - Gigin Lin
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital at Linkou, Taoyuan 33382, Taiwan
- Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan
- Department of Medical Imaging and Radiological Sciences, Chang Gung University, 5 Fuhsing St., Guishan, Taoyuan 33382, Taiwan
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, 5 Fuhsing St., Guishan, Taoyuan 33382, Taiwan
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Jiang Y, Qin S, Wang Y, Liu Y, Liu N, Tang L, Fang J, Jia Q, Huang X. Intravoxel incoherent motion diffusion-weighted MRI for predicting the efficacy of high-intensity focused ultrasound ablation for uterine fibroids. Front Oncol 2023; 13:1178649. [PMID: 37427113 PMCID: PMC10324408 DOI: 10.3389/fonc.2023.1178649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 06/08/2023] [Indexed: 07/11/2023] Open
Abstract
Purpose To evaluate the significance of magnetic resonance (MR) intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) quantitative parameters in predicting early efficacy of high-intensity focused ultrasound (HIFU) ablation of uterine fibroids before treatment. Method 64 patients with 89 uterine fibroids undergoing HIFU ablation (51 sufficient ablations and 38 insufficient ablations) were enrolled in the study and completed MR imaging and IVIM-DWI before treatment. The IVIM-DWI parameters, including D (diffusion coefficient), D* (pseudo-diffusion coefficient), f (perfusion fraction) and relative blood flow (rBF) were calculated. The logistic regression (LR) model was constructed to analyze the predictors of efficacy. The receiver operating characteristic (ROC) curve was drawn to assess the model's performance. A nomograph was constructed to visualize the model. Results The D value of the sufficient ablation group (931.0(851.5-987.4) × 10-6 mm2/s) was significantly lower than that of the insufficient ablation group (1052.7(1019.6-1158.7) × 10-6 mm2/s) (p<0.001). However, differences in D*, f, and rBF values between the groups were not significant (p>0.05). The LR model was constructed with D value, fibroid position, ventral skin distance, T2WI signal intensity, and contrast enhanced degree. The area under the ROC curve, specificity, and sensitivity of the model were 0.858 (95% confidence interval: 0.781, 0.935), 0.686, and 0.947. The nomogram and calibration curves confirmed that the model had excellent performance. Conclusion The IVIM-DWI quantitative parameters can be used to predict early effects of HIFU ablation on uterine fibroids. A high D value before treatment may indicate that the treatment will be less effective in the early stages.
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Affiliation(s)
- Yu Jiang
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Shize Qin
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Yanlin Wang
- Department of Clinical Medicine, North Sichuan Medical College, Nanchong, China
| | - Yang Liu
- Department of Urology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Nian Liu
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Lingling Tang
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Jie Fang
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Qing Jia
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Xiaohua Huang
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
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Slotman DJ, Bartels LW, Zijlstra A, Verpalen IM, van Osch JAC, Nijholt IM, Heijman E, van 't Veer-Ten Kate M, de Boer E, van den Hoed RD, Froeling M, Boomsma MF. Diffusion-weighted MRI with deep learning for visualizing treatment results of MR-guided HIFU ablation of uterine fibroids. Eur Radiol 2022; 33:4178-4188. [PMID: 36472702 DOI: 10.1007/s00330-022-09294-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 10/25/2022] [Accepted: 10/27/2022] [Indexed: 12/13/2022]
Abstract
OBJECTIVES No method is available to determine the non-perfused volume (NPV) repeatedly during magnetic resonance-guided high-intensity focused ultrasound (MR-HIFU) ablations of uterine fibroids, as repeated acquisition of contrast-enhanced T1-weighted (CE-T1w) scans is inhibited by safety concerns. The objective of this study was to develop and test a deep learning-based method for translation of diffusion-weighted imaging (DWI) into synthetic CE-T1w scans, for monitoring MR-HIFU treatment progression. METHODS The algorithm was retrospectively trained and validated on data from 33 and 20 patients respectively who underwent an MR-HIFU treatment of uterine fibroids between June 2017 and January 2019. Postablation synthetic CE-T1w images were generated by a deep learning network trained on paired DWI and reference CE-T1w scans acquired during the treatment procedure. Quantitative analysis included calculation of the Dice coefficient of NPVs delineated on synthetic and reference CE-T1w scans. Four MR-HIFU radiologists assessed the outcome of MR-HIFU treatments and NPV ratio based on the synthetic and reference CE-T1w scans. RESULTS Dice coefficient of NPVs was 71% (± 22%). The mean difference in NPV ratio was 1.4% (± 22%) and not statistically significant (p = 0.79). Absolute agreement of the radiologists on technical treatment success on synthetic and reference CE-T1w scans was 83%. NPV ratio estimations on synthetic and reference CE-T1w scans were not significantly different (p = 0.27). CONCLUSIONS Deep learning-based synthetic CE-T1w scans derived from intraprocedural DWI allow gadolinium-free visualization of the predicted NPV, and can potentially be used for repeated gadolinium-free monitoring of treatment progression during MR-HIFU therapy for uterine fibroids. KEY POINTS • Synthetic CE-T1w scans can be derived from diffusion-weighted imaging using deep learning. • Synthetic CE-T1w scans may be used for visualization of the NPV without using a contrast agent directly after MR-HIFU ablations of uterine fibroids.
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Affiliation(s)
- Derk J Slotman
- Department of Radiology, Isala Hospital, Zwolle, The Netherlands.
- Imaging & Oncology Division, Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Lambertus W Bartels
- Imaging & Oncology Division, Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Aylene Zijlstra
- Department of Radiology, Isala Hospital, Zwolle, The Netherlands
| | - Inez M Verpalen
- Department of Radiology, Isala Hospital, Zwolle, The Netherlands
- Department of Radiology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | | | - Ingrid M Nijholt
- Department of Radiology, Isala Hospital, Zwolle, The Netherlands
| | - Edwin Heijman
- Faculty of Medicine and University Hospital of Cologne, Institute of Diagnostic and Interventional Radiology, University of Cologne, Cologne, Germany
- Philips Research Eindhoven, High Tech Campus, Eindhoven, The Netherlands
| | | | - Erwin de Boer
- Department of Radiology, Isala Hospital, Zwolle, The Netherlands
| | | | - Martijn Froeling
- Imaging & Oncology Division, Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
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Anneveldt KJ, van ’t Oever HJ, Verpalen IM, Nijholt IM, Bartels W, Dijkstra JR, van den Hoed RD, van ’t Veer - ten Kate M, de Boer E, Veersema S, Huirne JA, Schutte JM, Boomsma MF. Increased MR-guided high intensity focused ultrasound (MR-HIFU) sonication efficiency of uterine fibroids after carbetocin administration. Eur J Radiol Open 2022; 9:100413. [PMID: 35340827 PMCID: PMC8942847 DOI: 10.1016/j.ejro.2022.100413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 03/07/2022] [Accepted: 03/09/2022] [Indexed: 11/01/2022] Open
Abstract
Purpose Method Results Conclusion Carbetocin administration resulted in more efficient MR-HIFU fibroid sonications. 16.7% of the women experienced mild side effects of carbetocin administration. Carbetocin may lead to a broader patient eligibility and reduced treatment times.
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Anneveldt KJ, Verpalen IM, Nijholt IM, Dijkstra JR, van den Hoed RD, Van't Veer-Ten Kate M, de Boer E, van Osch JAC, Heijman E, Naber HR, Ista E, Franx A, Veersema S, Huirne JAF, Schutte JM, Boomsma MF. Lessons learned during implementation of MR-guided High-Intensity Focused Ultrasound treatment of uterine fibroids. Insights Imaging 2021; 12:188. [PMID: 34921657 PMCID: PMC8684568 DOI: 10.1186/s13244-021-01128-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 11/11/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Although promising results have been reported for Magnetic Resonance image-guided High-Intensity Focused Ultrasound (MR-HIFU) treatment of uterine fibroids, this treatment is not yet widely implemented in clinical practice. During the implementation of a new technology, lessons are learned and an institutional learning-curve often has to be completed. The primary aim of our prospective cohort study was to characterize our learning-curve based on our clinical outcomes. Secondary aims included identifying our lessons learned during implementation of MR-HIFU on a technical, patient selection, patient counseling, medical specialists and organizational level. RESULTS Our first seventy patients showed significant symptom reduction and improvement of quality of life at 3, 6 and 12 months after MR-HIFU treatment compared to baseline. After the first 25 cases, a clear plateau phase was reached in terms of failed treatments. The median non-perfused volume percentage of these first 25 treatments was 44.6% (range: 0-99.7), compared to a median of 74.7% (range: 0-120.6) for the subsequent treatments. CONCLUSIONS Our findings describe the learning-curve during the implementation of MR-HIFU and include straightforward suggestions to shorten learning-curves for future users. Moreover, the lessons we learned on technique, patient selection, patient counseling, medical specialists and organization, together with the provided supplements, may be of benefit to other institutions aiming to implement MR-HIFU treatment of uterine fibroids. Trial registration ISRCTN14634593. Registered January 12, 2021-Retrospectively registered, https://www.isrctn.com/ISRCTN14634593 .
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Affiliation(s)
- K J Anneveldt
- Department of Radiology, Isala Hospital, Zwolle, The Netherlands. .,Department of Gynecology, Isala Hospital, Zwolle, The Netherlands.
| | - I M Verpalen
- Department of Radiology, Amsterdam University Medical Center, location AMC, Amsterdam, The Netherlands
| | - I M Nijholt
- Department of Radiology, Isala Hospital, Zwolle, The Netherlands
| | - J R Dijkstra
- Department of Gynecology, Isala Hospital, Zwolle, The Netherlands
| | - R D van den Hoed
- Department of Radiology, Isala Hospital, Zwolle, The Netherlands
| | | | - E de Boer
- Department of Radiology, Isala Hospital, Zwolle, The Netherlands
| | - J A C van Osch
- Department of Medical Physics, Isala Hospital, Zwolle, The Netherlands
| | - E Heijman
- Department of Diagnostic and Interventional Radiology, University of Cologne, Cologne, Germany.,Department of Oncology, Philips Research Eindhoven, Eindhoven, The Netherlands
| | - H R Naber
- Department of Anesthesiology, Isala Hospital, Zwolle, The Netherlands
| | - E Ista
- Department of Internal Medicine, Section of Nursing Science, Erasmus Medical Center, Rotterdam, The Netherlands
| | - A Franx
- Department of Obstetrics and Gynecology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - S Veersema
- Department of Reproductive Medicine and Gynecology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - J A F Huirne
- Department of Gynecology, Amsterdam University Medical Center, location AMC, Amsterdam, The Netherlands
| | - J M Schutte
- Department of Gynecology, Isala Hospital, Zwolle, The Netherlands
| | - M F Boomsma
- Department of Radiology, Isala Hospital, Zwolle, The Netherlands
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Sainio T, Saunavaara J, Komar G, Otonkoski S, Joronen K, Viitala A, Perheentupa A, Blanco Sequeiros R. Feasibility of T2 relaxation time in predicting the technical outcome of MR-guided high-intensity focused ultrasound treatment of uterine fibroids. Int J Hyperthermia 2021; 38:1384-1393. [PMID: 34542013 DOI: 10.1080/02656736.2021.1976850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
Abstract
PURPOSE The aim of this study was to assess the feasibility of T2 relaxation time in predicting the immediate technical outcome i.e., nonperfused volume ratio (NPVr) of magnetic resonance-guided high-intensity focused ultrasound (MRgHIFU) treatment of symptomatic uterine fibroids and to compare it with existing T2-weighted imaging methods (Funaki classification and scaled signal intensity, SSI). MATERIALS AND METHODS 30 patients with 32 uterine fibroids underwent an MRI study including a quantitative T2 relaxation time measurement prior to MRgHIFU treatment. T2 relaxation times were measured with a multi-echo fast imaging-based technique with 16 echoes. The correlation between pretreatment values of the uterine fibroids and treatment outcomes, that is nonperfused volume ratios (NPVr), was assessed with nonparametric statistical measures. T2 relaxation time-based method was compared to existing T2-weighted imaging-based methods using receiver-operating-characteristics (ROC) curve analysis and Chi-square test. RESULTS Nonparametric measures of association revealed a statistically significant negative correlation between T2 relaxation time values and NPVr. The T2 relaxation time classification (T2 I, T2 II, and T2 III) resulted in the whole model p-value of 0.0019, whereas the Funaki classification resulted in a p-value of 0.56. The T2 relaxation time classification (T2 I and T2 II) achieved a whole model of a p-value of 0.0024, whereas the SSI classification had a p-value of 0.0749. CONCLUSIONS A longer T2 relaxation time of the fibroid prior to treatment correlated with a lower NPVr. Based on our results, the T2 relaxation time classifications seem to outperform the Funaki classification and the SSI method.
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Affiliation(s)
- Teija Sainio
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Jani Saunavaara
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Gaber Komar
- Department of Radiology, Turku University Hospital, Turku, Finland
| | - Saara Otonkoski
- Department of Obstetrics and Gynecology, Turku University Hospital, Turku, Finland
| | - Kirsi Joronen
- Department of Obstetrics and Gynecology, Turku University Hospital, Turku, Finland
| | - Antti Viitala
- Department of Radiology, Turku University Hospital, Turku, Finland
| | - Antti Perheentupa
- Department of Obstetrics and Gynecology, Turku University Hospital, Turku, Finland
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