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2. Tools for large-scale data analytics of an international multi-center study in radiation oncology for cervical cancer

Author

Ecker, Stefan, Kirisits, Christian, Schmid, Maximilian, De Leeuw, Astrid, Seppenwoolde, Yvette, Knoth, Johannes, Trnkova, Petra, Heilemann, Gerd, Sturdza, Alina, Kirchheiner, Kathrin, Spampinato, Sofia, Serban, Monica, Jürgenliemk-Schulz, Ina, Chopra, Supriya, Nout, Remi, Tanderup, Kari, Pötter, Richard, and Eder-Nesvacil, Nicole

Published
2023
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4. Education and training for image-guided adaptive brachytherapy for cervix cancer—The (GEC)-ESTRO/EMBRACE perspective

Author

Tan, Li-Tee, Tanderup, Kari, Kirisits, Christian, Mahantshetty, Umesh, Swamidas, Jamema, Jürgenliemk-Schulz, Ina, Lindegaard, Jacob, de Leeuw, Astrid, Nesvacil, Nicole, Assenholt, Marianne, Berger, Daniel, Diendorfer, Tamara, Dimopoulos, Johannes, Duke, Simon, Ecker, Stefan, Fokdal, Lars, Hellebust, Taran, Jensen, Nina, Kirchheiner, Kathrin, Nout, Remi, Petric, Primoz, Schmid, Maximilian, Seppenwoolde, Yvette, Sturdza, Alina, Van Limbergen, Erik, Haie-Meder, Christine, and Pötter, Richard

Published
2020
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5. Importance of Technique, Target Selection, Contouring, Dose Prescription, and Dose-Planning in External Beam Radiation Therapy for Cervical Cancer: Evolution of Practice From EMBRACE-I to II

Author

Berger, Thomas, Seppenwoolde, Yvette, Pötter, Richard, Assenholt, Marianne Sanggaard, Lindegaard, Jacob C., Nout, Remi A., de Leeuw, Astrid, Jürgenliemk-Schulz, Ina, Tan, Li Tee, Georg, Dietmar, Kirisits, Christian, Dumas, Isabelle, Nesvacil, Nicole, Swamidas, Jamema, Hudej, Robert, Lowe, Gerry, Hellebust, Taran Paulsen, Menon, Geetha, Fokdal, Lars, and Tanderup, Kari

Published
2019
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8. Fully automated, multi-criterial planning for Volumetric Modulated Arc Therapy – An international multi-center validation for prostate cancer

Author

Heijmen, Ben, Voet, Peter, Fransen, Dennie, Penninkhof, Joan, Milder, Maaike, Akhiat, Hafid, Bonomo, Pierluigi, Casati, Marta, Georg, Dietmar, Goldner, Gregor, Henry, Ann, Lilley, John, Lohr, Frank, Marrazzo, Livia, Pallotta, Stefania, Pellegrini, Roberto, Seppenwoolde, Yvette, Simontacchi, Gabriele, Steil, Volker, Stieler, Florian, Wilson, Stuart, and Breedveld, Sebastiaan

Published
2018
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9. The EMBRACE II study: The outcome and prospect of two decades of evolution within the GEC-ESTRO GYN working group and the EMBRACE studies

Author

Pötter, Richard, Tanderup, Kari, Kirisits, Christian, de Leeuw, Astrid, Kirchheiner, Kathrin, Nout, Remi, Tan, Li Tee, Haie-Meder, Christine, Mahantshetty, Umesh, Segedin, Barbara, Hoskin, Peter, Bruheim, Kjersti, Rai, Bhavana, Huang, Fleur, Van Limbergen, Erik, Schmid, Max, Nesvacil, Nicole, Sturdza, Alina, Fokdal, Lars, Jensen, Nina Boje Kibsgaard, Georg, Dietmar, Assenholt, Marianne, Seppenwoolde, Yvette, Nomden, Christel, Fortin, Israel, Chopra, Supriya, van der Heide, Uulke, Rumpold, Tamara, Lindegaard, Jacob Christian, and Jürgenliemk-Schulz, Ina

Published
2018
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12. Tools for large-scale data analytics of an international multi-center study in radiation oncology for cervical cancer

Author

Klinische Fysica RT, Cancer, MS Radiotherapie, Ecker, Stefan, Kirisits, Christian, Schmid, Maximilian, De Leeuw, Astrid, Seppenwoolde, Yvette, Knoth, Johannes, Trnkova, Petra, Heilemann, Gerd, Sturdza, Alina, Kirchheiner, Kathrin, Spampinato, Sofia, Serban, Monica, Jürgenliemk-Schulz, Ina, Chopra, Supriya, Nout, Remi, Tanderup, Kari, Pötter, Richard, Eder-Nesvacil, Nicole, Klinische Fysica RT, Cancer, MS Radiotherapie, Ecker, Stefan, Kirisits, Christian, Schmid, Maximilian, De Leeuw, Astrid, Seppenwoolde, Yvette, Knoth, Johannes, Trnkova, Petra, Heilemann, Gerd, Sturdza, Alina, Kirchheiner, Kathrin, Spampinato, Sofia, Serban, Monica, Jürgenliemk-Schulz, Ina, Chopra, Supriya, Nout, Remi, Tanderup, Kari, Pötter, Richard, and Eder-Nesvacil, Nicole

Published
2023

16. Multi-center analysis of machine-learning predicted dose parameters in brachytherapy for cervical cancer

Author

Reijtenbagh, Dominique, Godart, Jérémy, de Leeuw, Astrid, Seppenwoolde, Yvette, Jürgenliemk-Schulz, Ina, Mens, Jan Willem, Nout, Remi, Hoogeman, Mischa, Reijtenbagh, Dominique, Godart, Jérémy, de Leeuw, Astrid, Seppenwoolde, Yvette, Jürgenliemk-Schulz, Ina, Mens, Jan Willem, Nout, Remi, and Hoogeman, Mischa

Abstract

Background and purpose: Image-guided adaptive brachytherapy (IGABT) is a key component in the treatment of cervical cancer, but the nature of the clinical workflow makes it vulnerable to suboptimal plans, as the theoretical optimal plan depends heavily on organ configuration. Patient anatomy-based quality-assurance (QA) with overlap volume histograms (OVHs) is a promising tool to detect such suboptimal plans, and in this analysis its suitability as a multi-institutional clinical QA tool is investigated. Materials and methods: A total of 223 plans of 145 patients treated in accordance with the current state-of-the-art IGABT protocols from UMC Utrecht (UMCU) and Erasmus MC (EMC) were included. Machine-learning models were trained to predict dose D2cm3 to bladder, rectum, sigmoid and small bowel with the help of OVHs. For this strategy, points are sampled on the organs-at-risk (OARs), and the distances of the sampled points to the target are computed and combined in a histogram. Machine-learning models can then be trained to predict dose-volume histograms (DVHs) for unseen data. Single-center model robustness to needle use and applicator type and multi-center model translatability were investigated. Performance of models was assessed by the difference between planned (clinical) and predicted D2cm3 values. Results: Intra-validation of UMCU data demonstrated OVH model robustness to needle use and applicator type. The model trained on UMCU data was found to be robust within the same protocol on EMC data, for all investigated OARs. Mean squared error between planned and predicted D2cm3 values of OARs ranged between 0.13 and 0.40 Gy within the same protocol, indicating model translatability. For the former protocol cohort of Erasmus MC large deviations were found between the planned and predicted D2cm3 values, indicating plan deviation from protocol. Mean squared error for this cohort ranged from 0.84 to 4.71 Gy. Conclusion: OV

Published
2022

17. Multi-center analysis of machine-learning predicted dose parameters in brachytherapy for cervical cancer

Author

Cancer, Klinische Fysica RT, MS Radiotherapie, Reijtenbagh, Dominique, Godart, Jérémy, de Leeuw, Astrid, Seppenwoolde, Yvette, Jürgenliemk-Schulz, Ina, Mens, Jan Willem, Nout, Remi, Hoogeman, Mischa, Cancer, Klinische Fysica RT, MS Radiotherapie, Reijtenbagh, Dominique, Godart, Jérémy, de Leeuw, Astrid, Seppenwoolde, Yvette, Jürgenliemk-Schulz, Ina, Mens, Jan Willem, Nout, Remi, and Hoogeman, Mischa

Published
2022

21. Early morbidity and dose–volume effects in definitive radiochemotherapy for locally advanced cervical cancer:a prospective cohort study covering modern treatment techniques

Author

Seppenwoolde, Yvette, Majercakova, Katarina, Buschmann, Martin, Dörr, Elke, Sturdza, Alina, Schmid, Maximilian P., Pötter, Richard, Georg, Dietmar, Seppenwoolde, Yvette, Majercakova, Katarina, Buschmann, Martin, Dörr, Elke, Sturdza, Alina, Schmid, Maximilian P., Pötter, Richard, and Georg, Dietmar

Published
2021

30. The EMBRACE II study:The outcome and prospect of two decades of evolution within the GEC-ESTRO GYN working group and the EMBRACE studies

Author

Pötter, Richard, Tanderup, Kari, Kirisits, Christian, de Leeuw, Astrid, Kirchheiner, Kathrin, Nout, Remi, Tan, Li Tee, Haie-Meder, Christine, Mahantshetty, Umesh, Segedin, Barbara, Hoskin, Peter, Bruheim, Kjersti, Rai, Bhavana, Huang, Fleur, Van Limbergen, Erik, Schmid, Max, Nesvacil, Nicole, Sturdza, Alina, Fokdal, Lars, Jensen, Nina Boje Kibsgaard, Georg, Dietmar, Assenholt, Marianne, Seppenwoolde, Yvette, Nomden, Christel, Fortin, Israel, Chopra, Supriya, van der Heide, Uulke, Rumpold, Tamara, Lindegaard, Jacob Christian, Jürgenliemk-Schulz, Ina, Pötter, Richard, Tanderup, Kari, Kirisits, Christian, de Leeuw, Astrid, Kirchheiner, Kathrin, Nout, Remi, Tan, Li Tee, Haie-Meder, Christine, Mahantshetty, Umesh, Segedin, Barbara, Hoskin, Peter, Bruheim, Kjersti, Rai, Bhavana, Huang, Fleur, Van Limbergen, Erik, Schmid, Max, Nesvacil, Nicole, Sturdza, Alina, Fokdal, Lars, Jensen, Nina Boje Kibsgaard, Georg, Dietmar, Assenholt, Marianne, Seppenwoolde, Yvette, Nomden, Christel, Fortin, Israel, Chopra, Supriya, van der Heide, Uulke, Rumpold, Tamara, Lindegaard, Jacob Christian, and Jürgenliemk-Schulz, Ina

Abstract

The publication of the GEC-ESTRO recommendations one decade ago was a significant step forward for reaching international consensus on adaptive target definition and dose reporting in image guided adaptive brachytherapy (IGABT) in locally advanced cervical cancer. Since then, IGABT has been spreading, particularly in Europe, North America and Asia, and the guidelines have proved their broad acceptance and applicability in clinical practice. However, a unified approach to volume contouring and reporting does not imply a unified administration of treatment, and currently both external beam radiotherapy (EBRT) and IGABT are delivered using a large variety of techniques and prescription/fractionation schedules. With IGABT, local control is excellent in limited and well-responding tumours. The major challenges are currently loco-regional control in advanced tumours, treatment-related morbidity, and distant metastatic disease. Emerging evidence from the RetroEMBRACE and EMBRACE I studies has demonstrated that clinical outcome is related to dose prescription and technique. The next logical step is to demonstrate excellent clinical outcome with the most advanced EBRT and brachytherapy techniques based on an evidence-based prospective dose and volume prescription protocol. The EMBRACE II study is an interventional and observational multicentre study which aims to benchmark a high level of local, nodal and systemic control while limiting morbidity, using state of the art treatment including an advanced target volume selection and contouring protocol for EBRT and brachytherapy, a multi-parametric brachytherapy dose prescription protocol (clinical validation of dose constraints), and use of advanced EBRT (IMRT and IGRT) and brachytherapy (IC/IS) techniques (clinical validation). The study also incorporates translational research including imaging and tissue biomarkers.

Published
2018

35. Automatisierte volumenmodulierte Arc-Therapieplanung für Ganzbecken-Prostatabestrahlung.

Author

Buschmann, Martin, Sharfo, Abdul Wahab M., Penninkhof, Joan, Seppenwoolde, Yvette, Goldner, Gregor, Georg, Dietmar, Breedveld, Sebastiaan, M.Heijmen, Ben J., and Heijmen, Ben J M

Subjects
ALGORITHMS, ANTHROPOMETRY, HUMAN body, COMPUTERS in medicine, METASTASIS, PELVIS, PROSTATE tumors, RADIATION doses, RADIOTHERAPY, RESEARCH funding
Abstract

Copyright of Strahlentherapie und Onkologie is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2018
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36. Dosimetric investigation of lung tumor motion compensation with a robotic respiratory tracking system: An experimental study

Author

Nioutsikou, E, Seppenwoolde, Yvette, Symonds-Tayler, JRN, Heijmen, Ben, Evans, P, Webb, S, and Radiation Oncology

Subjects
SDG 3 - Good Health and Well-being
Abstract

The benefits of using Synchrony (TM) Respiratory Tracking System (RTS) in conjunction with the CyberKnife robotic treatment device to treat a "breathing tumor" in an anthropomorphic, tissue-equivalent, thoracic phantom have been investigated. The following have been studied: (a) Synchrony's ability to allow the CyberKnife to deliver accurately a planned dose distribution to the free-breathing phantom and (b) the dosimetric implications when irregularities in the breathing cycle and phase differences between internal (tumor) and external (chest) motion exist in the course of one treatment fraction. The breathing phantom PULMONE (phantom used in lung motion experiments) has been used, which can imitate regular or irregular breathing patterns. The breathing traces from two patients with lung cancer have been selected as input. Both traces were irregular in amplitude, frequency, and base line. Patient B demonstrated a phase difference between internal and external motion, whereas patient A did not. The experiment was divided into three stages: In stage I-static, the treatment was delivered to the static phantom. In stage II-motion, the phantom was set to breathe, following the breathing trace of each of the two patients. Synchrony (TM) was switched off, so no motion compensation was made. In stage III-compensation, the phantom was set to breathe and Synchrony (TM) was switched on. A linear correspondence model was chosen to allow for phase differences between internal and external motion. Gafchromic EBT film was inserted in the phantom tumor to measure dose. To eradicate small errors in film alignment during readout, a gamma comparison with pass criteria of 3%/3 mm was selected. For a more quantitative approach, the percentage of pixels in each gamma map that exceeded the value of 1 (P-1) was also used. For both breathing signals, the dose blurring caused by the respiratory motion of the tumor in stage II was degraded considerably compared with stage I (P-1=15% for patient A and 8% for patient B). The motion compensation via the linear correspondence model was sufficient to provide a dose distribution that satisfied the set gamma criteria (P-1=3% for patient A and 2% for patient B). Synchrony (TM) RTS has been found satisfactory in recovering the initial detail in dose distribution, for realistic breathing signals, even in the case where a phase delay between internal tumor motion and external chest displacement exists. For the signals applied here, a linear correspondence model provided an acceptable degree of motion compensation. (C) 2008 American Association of Physicists in Medicine.

Published
2008

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