Evidence-based decision making in image-guided brachytherapy
Disciplines
Computer Sciences (20%); Clinical Medicine (50%); Medical Engineering (30%)
Keywords
- Image-Guided Brachytherapy,
- Evidence-Based Treatment Optimization,
- Treatment Planning,
- Online Treatment Verification,
- Cervical Cancer,
- Decision Support
Motivation The treatment of locally advanced cervical carcinoma has undergone tremendous improvement through the implementation of 3D-image guided brachytherapy during the last decade, which has led to improved local control while reducing treatment-related morbidity. Complex application techniques in combination with magnetic-resonance-imaging-guided treatment planning nowadays allow the treatment of a variety of patients with a wide range of disease-stages. In order to make the knowledge on advantages of certain treatment strategies gained by specialised centers applicable for a maximum number of patients, the Evi-Guide project aims at developing an evidence-based decision support system for image-guided brachytherapy. Additional software development within this project will lead to improved individual online dose-reporting and dose-response modelling for pelvic organs at risk, which are essential components of personalized evidence-based treatment planning. Methods Based on the findings of the multicentric EMBRACE study for image-guided brachytherapy with over 1400 patients from specialized centers, which has been led by our institution, software tools for the evaluation of different existing treatment concepts will be developed by use of combinations of dosimetric and clinical outcome parameters. For this purpose, fundamental clinical parameters, tumour dimensions, dose-volume parameters, application specific parameters and the latest dose- response models based on the EMBRACE study will be used. This will allow the user to derive information about the expected dosimetric and clinical outcome, in terms of probabilities for tumour control expected side effects for urinary bladder, rectum and bowel, of a selected treatment strategy, based on corresponding observations from a large patient cohort. The underlying dose-response models will be improved within the Evi-Guide project by development of software tools for i) optimization of radiobiological standard model parameters for the linear-quadratic model for pelvic radiotherapy, based on the EMBRACE cohort, and ii) reducing uncertainties of the reported dose by implementation of a systematic magnetic-resonance-imaging- based online dose verification procedure. The results of Evi-Guide could be applied worldwide by numerous centers for evidence-based optimization of image guided brachytherapy strategies. The software modules created within this project could serve as a model for decision-support systems for other indications and therapy options beyond brachytherapy. Future inclusion of knowledge emerging from the prospective EMBRACE II study is also considered. The increase of precision in dose reporting and optimization of radiobiological models will lead to an improved understanding of normal tissue complication probabilities, which will also be applicable to other applications in clinical radiation oncology.
Evidence-based decision making in image-guided brachytherapy - "Evi-Guide" The treatment of locally advanced cervical carcinoma has undergone tremendous improvement through the implementation of 3D-image guided brachytherapy during the last decade, which has led to improved local control while reducing treatment-related morbidity. Complex application techniques in combination with magnetic-resonance-imaging-guided treatment planning nowadays allow the treatment of a variety of patients with a wide range of disease-stages. In order to make the knowledge on advantages of certain treatment strategies gained by specialised centers applicable for a maximum number of patients, the "Evi-Guide" project aimed at developing an evidence-based decision support system for image-guided brachytherapy. Additional software development within this project lead to improved individual online dose-reporting and dose-response modelling for pelvic organs at risk, which are essential components of personalized evidence-based treatment planning. Based on the findings of the multicentric EMBRACE study for image-guided brachytherapy with over 1400 patients from specialized centers, which has been led by our institution, software tools for the evaluation of different existing treatment concepts were developed by use of combinations of dosimetric and clinical outcome parameters. For this purpose, fundamental clinical parameters, tumour dimensions, dose-volume parameters, application specific parameters and the latest dose-response models based on the EMBRACE study were used. This will allow users to derive information about the expected dosimetric and clinical outcome, in terms of probabilities for tumour control expected side effects for urinary bladder, rectum and bowel, of a selected treatment strategy, based on corresponding observations from a large patient cohort. The potential to improve underlying dose-response models was investigated within the "Evi-Guide" project by development of software tools for i) optimization of radiobiological standard model parameters for the linear-quadratic model for pelvic radiotherapy, based on the EMBRACE cohort, and ii) reducing uncertainties of the reported dose by implementation of a systematic magnetic-resonance-imaging-based online dose verification procedure. The results of "Evi-Guide" could be applied worldwide by numerous centers for evidence-based optimization of image guided brachytherapy strategies. The software modules created within this project could serve as a model for decision-support systems for other indications and therapy options beyond brachytherapy. Future inclusion of knowledge emerging from the prospective EMBRACE II study is also possible. The increase of precision in dose reporting and optimization of radiobiological models will lead to an improved understanding of normal tissue complication probabilities, which will also be applicable to other applications in clinical radiation oncology.
Research Output
- 1481 Citations
- 28 Publications
- 5 Scientific Awards
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2024
Title Transrectal ultrasound for intraoperative interstitial needle guidance in cervical cancer brachytherapy DOI 10.1007/s00066-024-02207-9 Type Journal Article Author Knoth J Journal Strahlentherapie und Onkologie Pages 684-690 Link Publication -
2023
Title EviGUIDE - a tool for evidence-based decision making in image-guided adaptive brachytherapy for cervical cancer DOI 10.1016/j.radonc.2023.109748 Type Journal Article Author Ecker S Journal Radiotherapy and Oncology Pages 109748 Link Publication -
2023
Title Risk Factors for Local Failure Following Chemoradiation and Magnetic Resonance Image–Guided Brachytherapy in Locally Advanced Cervical Cancer: Results From the EMBRACE-I Study DOI 10.1200/jco.22.01096 Type Journal Article Author Schmid M Journal Journal of Clinical Oncology Pages 1933-1942 Link Publication -
2023
Title Tools for large-scale data analytics of an international multi-center study in radiation oncology for cervical cancer DOI 10.1016/j.radonc.2023.109524 Type Journal Article Author Ecker S Journal Radiotherapy and Oncology Pages 109524 Link Publication -
2022
Title Prognostic Implications of Uterine Cervical Cancer Regression During Chemoradiation Evaluated by the T-Score in the Multicenter EMBRACE I Study DOI 10.1016/j.ijrobp.2022.02.005 Type Journal Article Author Lindegaard J Journal International Journal of Radiation Oncology*Biology*Physics Pages 379-389 -
2022
Title Neural network-assisted automated image registration for MRI-guided adaptive brachytherapy in cervical cancer DOI 10.1016/j.zemedi.2022.04.002 Type Journal Article Author Ecker S Journal Zeitschrift für Medizinische Physik Pages 488-499 Link Publication