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Buschmann M, Kauer-Dorner D, Konrad S, Georg D, Widder J, Knäusl B. Stereoscopic X-ray image and thermo-optical surface guidance for breast cancer radiotherapy in deep inspiration breath-hold. Strahlenther Onkol 2024; 200:306-313. [PMID: 37796341 DOI: 10.1007/s00066-023-02153-y] [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: 05/11/2023] [Accepted: 08/30/2023] [Indexed: 10/06/2023]
Abstract
PURPOSE To investigate the feasibility of a thermo-optical surface imaging (SGRT) system combined with room-based stereoscopic X‑ray image guidance (IGRT) in a dedicated breast deep inspiration breath-hold (DIBH) irradiation workflow. In this context, benchmarking of portal imaging (EPID) and cone-beam CT (CBCT) against stereoscopic X‑rays was performed. METHODS SGRT + IGRT data of 30 left-sided DIBH breast patients (1 patient with bilateral cancer) treated in 351 fractions using thermo-optical surface imaging and X-ray IGRT were retrospectively analysed. Patients were prepositioned based on a free-breathing surface reference derived from a CT scan. Once the DIBH was reached using visual feedback, two stereoscopic X‑ray images were acquired and registered to the digitally reconstructed radiographs derived from the DIBH CT. Based on this registration, a couch correction was performed. Positioning and monitoring by surface and X-ray imaging were verified by protocol-based EPID or CBCT imaging at selected fractions and the calculation of residual geometric deviations. RESULTS The median X‑ray-derived couch correction vector was 4.9 (interquartile range [IQR] 3.3-7.1) mm long. Verification imaging was performed for 134 fractions (216 RT field verifications) with EPID and for 37 fractions with CBCT, respectively. The median 2D/3D deviation vector length over all verification images was 2.5 (IQR 1.6-3.9) mm/3.4 (IQR 2.2-4.8) mm for EPID/CBCT, both being well within the planning target volume (PTV) margins (7 mm). A moderate correlation (0.49-0.65) was observed between the surface signal and X-ray position in DIBH. CONCLUSION DIBH treatments using thermo-optical SGRT and X-ray IGRT were feasible for breast cancer patients. Stereoscopic X‑ray positioning was successfully verified by standard IGRT techniques.
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Affiliation(s)
- Martin Buschmann
- Department of Radiation Oncology, Comprehensive Cancer Center, Medical University of Vienna/AKH Wien, Währinger Gürtel 18-20, Vienna, 1090, Austria
| | - Daniela Kauer-Dorner
- Department of Radiation Oncology, Comprehensive Cancer Center, Medical University of Vienna/AKH Wien, Währinger Gürtel 18-20, Vienna, 1090, Austria
| | - Stefan Konrad
- Department of Radiation Oncology, Comprehensive Cancer Center, Medical University of Vienna/AKH Wien, Währinger Gürtel 18-20, Vienna, 1090, Austria
| | - Dietmar Georg
- Department of Radiation Oncology, Comprehensive Cancer Center, Medical University of Vienna/AKH Wien, Währinger Gürtel 18-20, Vienna, 1090, Austria
| | - Joachim Widder
- Department of Radiation Oncology, Comprehensive Cancer Center, Medical University of Vienna/AKH Wien, Währinger Gürtel 18-20, Vienna, 1090, Austria
| | - Barbara Knäusl
- Department of Radiation Oncology, Comprehensive Cancer Center, Medical University of Vienna/AKH Wien, Währinger Gürtel 18-20, Vienna, 1090, Austria.
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Gal R, van Velzen SGM, Hooning MJ, Emaus MJ, van der Leij F, Gregorowitsch ML, Blezer ELA, Gernaat SAM, Lessmann N, Sattler MGA, Leiner T, de Jong PA, Teske AJ, Verloop J, Penninkhof JJ, Vaartjes I, Meijer H, van Tol-Geerdink JJ, Pignol JP, van den Bongard DHJG, Išgum I, Verkooijen HM. Identification of Risk of Cardiovascular Disease by Automatic Quantification of Coronary Artery Calcifications on Radiotherapy Planning CT Scans in Patients With Breast Cancer. JAMA Oncol 2021; 7:1024-1032. [PMID: 33956083 DOI: 10.1001/jamaoncol.2021.1144] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Importance Cardiovascular disease (CVD) is common in patients treated for breast cancer, especially in patients treated with systemic treatment and radiotherapy and in those with preexisting CVD risk factors. Coronary artery calcium (CAC), a strong independent CVD risk factor, can be automatically quantified on radiotherapy planning computed tomography (CT) scans and may help identify patients at increased CVD risk. Objective To evaluate the association of CAC with CVD and coronary artery disease (CAD) in patients with breast cancer. Design, Setting, and Participants In this multicenter cohort study of 15 915 patients with breast cancer receiving radiotherapy between 2005 and 2016 who were followed until December 31, 2018, age, calendar year, and treatment-adjusted Cox proportional hazard models were used to evaluate the association of CAC with CVD and CAD. Exposures Overall CAC scores were automatically extracted from planning CT scans using a deep learning algorithm. Patients were classified into Agatston risk categories (0, 1-10, 11-100, 101-399, >400 units). Main Outcomes and Measures Occurrence of fatal and nonfatal CVD and CAD were obtained from national registries. Results Of the 15 915 participants included in this study, the mean (SD) age at CT scan was 59.0 (11.2; range, 22-95) years, and 15 879 (99.8%) were women. Seventy percent (n = 11 179) had no CAC. Coronary artery calcium scores of 1 to 10, 11 to 100, 101 to 400, and greater than 400 were present in 10.0% (n = 1584), 11.5% (n = 1825), 5.2% (n = 830), and 3.1% (n = 497) respectively. After a median follow-up of 51.2 months, CVD risks increased from 5.2% in patients with no CAC to 28.2% in patients with CAC scores higher than 400. After adjustment, CVD risk increased with higher CAC score (hazard ratio [HR]CAC = 1-10 = 1.1; 95% CI, 0.9-1.4; HRCAC = 11-100 = 1.8; 95% CI, 1.5-2.1; HRCAC = 101-400 = 2.1; 95% CI, 1.7-2.6; and HRCAC>400 = 3.4; 95% CI, 2.8-4.2). Coronary artery calcium was particularly strongly associated with CAD (HRCAC>400 = 7.8; 95% CI, 5.5-11.2). The association between CAC and CVD was strongest in patients treated with anthracyclines (HRCAC>400 = 5.8; 95% CI, 3.0-11.4) and patients who received a radiation boost (HRCAC>400 = 6.1; 95% CI, 3.8-9.7). Conclusions and Relevance This cohort study found that coronary artery calcium on breast cancer radiotherapy planning CT scan results was associated with CVD, especially CAD. Automated CAC scoring on radiotherapy planning CT scans may be used as a fast and low-cost tool to identify patients with breast cancer at increased risk of CVD, allowing implementing CVD risk-mitigating strategies with the aim to reduce the risk of CVD burden after breast cancer. Trial Registration ClinicalTrials.gov Identifier: NCT03206333.
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Affiliation(s)
- Roxanne Gal
- Division of Imaging and Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands
| | - Sanne G M van Velzen
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands.,Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers-Location AMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Maartje J Hooning
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Marleen J Emaus
- Division of Imaging and Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands
| | - Femke van der Leij
- Department of Radiation Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands
| | - Madelijn L Gregorowitsch
- Division of Imaging and Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands
| | - Erwin L A Blezer
- Division of Imaging and Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands
| | - Sofie A M Gernaat
- Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Karolinska University, Stockholm, Sweden
| | - Nikolas Lessmann
- Department of Radiology and Nuclear Medicine, Radboudumc, Nijmegen, the Netherlands
| | - Margriet G A Sattler
- Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Tim Leiner
- Department of Radiology, Utrecht University Medical Centre, University of Utrecht, Utrecht, the Netherlands
| | - Pim A de Jong
- Department of Radiology, Utrecht University Medical Centre, University of Utrecht, Utrecht, the Netherlands
| | - Arco J Teske
- Department of Cardiology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands
| | - Janneke Verloop
- Department of Research, Netherlands Comprehensive Cancer Organisation, Utrecht, the Netherlands
| | - Joan J Penninkhof
- Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Ilonca Vaartjes
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands
| | - Hanneke Meijer
- Department of Radiation Oncology, Radboudumc, Nijmegen, the Netherlands
| | | | - Jean-Philippe Pignol
- Department of Radiation Oncology, Dalhousie University, Halifax, Nova Scotia, Canada
| | | | - Ivana Išgum
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands.,Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers-Location AMC, University of Amsterdam, Amsterdam, the Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers - Location AMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Helena M Verkooijen
- Division of Imaging and Oncology, University Medical Center Utrecht, University of Utrecht, Utrecht, the Netherlands
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Anastasi G, Bertholet J, Poulsen P, Roggen T, Garibaldi C, Tilly N, Booth JT, Oelfke U, Heijmen B, Aznar MC. Patterns of practice for adaptive and real-time radiation therapy (POP-ART RT) part I: Intra-fraction breathing motion management. Radiother Oncol 2020; 153:79-87. [PMID: 32585236 PMCID: PMC7758783 DOI: 10.1016/j.radonc.2020.06.018] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 06/08/2020] [Accepted: 06/12/2020] [Indexed: 12/25/2022]
Abstract
PURPOSE The POP-ART RT study aims to determine to what extent and how intra-fractional real-time respiratory motion management (RRMM) and plan adaptation for inter-fractional anatomical changes (ART), are used in clinical practice and to understand barriers to implementation. Here we report on part I: RRMM. MATERIAL AND METHODS A questionnaire was distributed worldwide to assess current clinical practice, wishes for expansion or new implementation and barriers to implementation. RRMM was defined as inspiration/expiration gating in free-breathing or breath-hold, or tracking where the target and the beam are continuously realigned. RESULTS The questionnaire was completed by 200 centres from 41 countries. RRMM was used by 68% of respondents ('users') for a median (range) of 2 (1-6) tumour sites. Eighty-one percent of users applied inspiration breath-hold in at least one tumour site (breast: 96%). External marker was used to guide RRMM by 61% of users. KV/MV imaging was frequently used for liver and pancreas (with fiducials) and for lung (with or without fiducials). Tracking was mainly performed on robotic linacs with hybrid internal-external monitoring. For breast and lung, approximately 75% of respondents used or wished to implement RRMM, which was lower for liver (44%) and pancreas (27%). Seventy-one percent of respondents wished to implement RRMM for a new tumour site. Main barriers were human/financial resources and capacity on the machine. CONCLUSION Sixty-eight percent of respondents used RRMM and 71% wished to implement RRMM for a new tumour site. The main barriers to implementation were human/financial resources and capacity on treatment machines.
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Affiliation(s)
- Gail Anastasi
- St. Luke's Cancer Centre, Royal Surrey Foundation Trust, Radiotherapy Physics, Guildford, United Kingdom.
| | - Jenny Bertholet
- The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, Joint Department of Physics, London, United Kingdom; Division of Medical Radiation Physics, Department of Radiation Oncology, Inselspital, Bern University Hospital, Switzerland
| | - Per Poulsen
- Aarhus University Hospital, Department of Oncology and Danish Center for Particle Therapy, Aarhus, Denmark
| | - Toon Roggen
- Varian Medical Systems Imaging Laboratory GmbH, Applied Research, Dättwil AG, Switzerland
| | - Cristina Garibaldi
- European Institute of Oncology IRCCS, IEO-Unit of Radiation Research, Milan, Italy
| | - Nina Tilly
- Elekta Instruments AB, Stockholm, Sweden; Medical Radiation Physics, Department of Immunology, Genetics and Pathology, Uppsala University, Sweden
| | - Jeremy T Booth
- Royal North Shore Hospital, Northern Sydney Cancer Centre, Australia
| | - Uwe Oelfke
- The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, Joint Department of Physics, London, United Kingdom
| | - Ben Heijmen
- Erasmus MC Cancer Institute, Department of Radiation Oncology, Rotterdam, Netherlands
| | - Marianne C Aznar
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, The Christie NHS Foundation Trust, Manchester, United Kingdom; Nuffield Department of Population Health, University of Oxford, United Kingdom
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