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van Overeem Felter M, Møller PK, Josipovic M, Bekke SN, Bernchou U, Serup-Hansen E, Madsen K, Parikh PJ, Kim J, Geertsen P, Behrens CP, Vogelius IR, Pøhl M, Schytte T, Persson GF. MR-guided stereotactic radiotherapy of infra-diaphragmatic oligometastases: Evaluation of toxicity and dosimetric parameters. Radiother Oncol 2024; 192:110090. [PMID: 38224916 DOI: 10.1016/j.radonc.2024.110090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 11/15/2023] [Accepted: 01/08/2024] [Indexed: 01/17/2024]
Abstract
BACKGROUND AND PURPOSE The SOFT trial is a prospective, multicenter, phase 2 trial investigating magnetic resonance (MR)-guided stereotactic ablative radiotherapy (SABR) for abdominal, soft tissue metastases in patients with oligometastatic disease (OMD) (clinicaltrials.gov ID NCT04407897). We present the primary endpoint analysis of 1-year treatment-related toxicity (TRAE). MATERIALS AND METHODS Patients with up to five oligometastases from non-hematological cancers were eligible for inclusion. A risk-adapted strategy prioritized fixed organs at risk (OAR) constraints over target coverage. Fractionation schemes were 45-67.5 Gy in 3-8 fractions. The primary endpoint was grade ≥ 4 TRAE within 12 months post-SABR. The association between the risk of gastrointestinal (GI) toxicity and clinical and dosimetric parameters was tested using a normal tissue complication probability model. RESULTS We included 121 patients with 147 oligometastatic targets, mainly located in the liver (41 %), lymph nodes (35 %), or adrenal glands (14 %). Nearly half of all targets (48 %, n = 71) were within 10 mm of a radiosensitive OAR. No grade 4 or 5 TRAEs, 3.5 % grade 3 TRAEs, and 43.7 % grade 2 TRAEs were reported within the first year of follow-up. We found a significant association between grade ≥ 2 GI toxicity and the parameters GI OAR D0.1cc, D1cc, and D20cc. CONCLUSION In this phase II study of MR-guided SABR of oligometastases in the infra-diaphragmatic region, we found a low incidence of toxicity despite half of the lesions being within 10 mm of a radiosensitive OAR. GI OAR D0.1cc, D1cc, and D20cc were associated with grade ≥ 2 GI toxicity.
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Affiliation(s)
- Mette van Overeem Felter
- Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte, Borgmester Ib Juuls Vej 1, 2730 Herlev, Denmark.
| | - Pia Krause Møller
- Department of Oncology, Odense University Hospital, J.B. Winsløws Vej 4, 5000 Odense C, Denmark; OPEN, Open Patient data Explorative Network at Odense University Hospital, J.B. Winsløws Vej 9a, 5000 Odense C, Denmark
| | - Mirjana Josipovic
- Department of Oncology, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
| | - Susanne Nørring Bekke
- Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte, Borgmester Ib Juuls Vej 1, 2730 Herlev, Denmark
| | - Uffe Bernchou
- Department of Oncology, Odense University Hospital, J.B. Winsløws Vej 4, 5000 Odense C, Denmark; Department of Clinical Research, University of Southern Denmark, J.B. Winsløws Vej 19, 3. 5000 Odense C, Denmark
| | - Eva Serup-Hansen
- Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte, Borgmester Ib Juuls Vej 1, 2730 Herlev, Denmark
| | - Kasper Madsen
- Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte, Borgmester Ib Juuls Vej 1, 2730 Herlev, Denmark
| | - Parag J Parikh
- Department of Oncology, Henry Ford Hospital, 2800 W Grand Blvd, Detroit, MI 48202, United States
| | - Joshua Kim
- Department of Oncology, Henry Ford Hospital, 2800 W Grand Blvd, Detroit, MI 48202, United States
| | - Poul Geertsen
- Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte, Borgmester Ib Juuls Vej 1, 2730 Herlev, Denmark
| | - Claus P Behrens
- Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte, Borgmester Ib Juuls Vej 1, 2730 Herlev, Denmark; Department of Health Technology, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, Denmark
| | - Ivan R Vogelius
- Department of Oncology, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
| | - Mette Pøhl
- Department of Oncology, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark
| | - Tine Schytte
- Department of Oncology, Odense University Hospital, J.B. Winsløws Vej 4, 5000 Odense C, Denmark; Department of Clinical Research, University of Southern Denmark, J.B. Winsløws Vej 19, 3. 5000 Odense C, Denmark
| | - Gitte Fredberg Persson
- Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte, Borgmester Ib Juuls Vej 1, 2730 Herlev, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
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Refsgaard L, Skarsø ER, Ravkilde T, Nissen HD, Olsen M, Boye K, Laursen KL, Bekke SN, Lorenzen EL, Brink C, Thorsen LBJ, Offersen BV, Korreman SS. End-to-end framework for automated collection of large multicentre radiotherapy datasets demonstrated in a Danish Breast Cancer Group cohort. Phys Imaging Radiat Oncol 2023; 27:100485. [PMID: 37705727 PMCID: PMC10495662 DOI: 10.1016/j.phro.2023.100485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 08/18/2023] [Accepted: 08/18/2023] [Indexed: 09/15/2023] Open
Abstract
Large Digital Imaging and Communications in Medicine (DICOM) datasets are key to support research and the development of machine learning technology in radiotherapy (RT). However, the tools for multi-centre data collection, curation and standardisation are not readily available. Automated batch DICOM export solutions were demonstrated for a multicentre setup. A Python solution, Collaborative DICOM analysis for RT (CORDIAL-RT) was developed for curation, standardisation, and analysis of the collected data. The setup was demonstrated in the DBCG RT-Nation study, where 86% (n = 7748) of treatments in the inclusion period were collected and quality assured, supporting the applicability of the end-to-end framework.
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Affiliation(s)
- Lasse Refsgaard
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Emma Riis Skarsø
- Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Thomas Ravkilde
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Henrik Dahl Nissen
- Department of Oncology, Vejle Hospital, University Hospital of Southern Denmark, Denmark
| | - Mikael Olsen
- Department of Oncology, Zealand University Hospital, Department of Clinical Oncology and Palliative Care, Næstved, Denmark
| | - Kristian Boye
- Department of Oncology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Kasper Lind Laursen
- Department of Medical Physics, Aalborg University Hospital, Aalborg, Denmark
| | - Susanne Nørring Bekke
- Department of Oncology, Copenhagen University Hospital – Herlev and Gentofte, Copenhagen, Denmark
| | - Ebbe Laugaard Lorenzen
- Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, Odense, Denmark
| | - Carsten Brink
- Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, Odense, Denmark
| | - Lise Bech Jellesmark Thorsen
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Denmark
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Birgitte Vrou Offersen
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Denmark
- Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Stine Sofia Korreman
- Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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Wahlstedt I, George Smith A, Andersen CE, Behrens CP, Nørring Bekke S, Boye K, van Overeem Felter M, Josipovic M, Petersen J, Risumlund SL, Tascón-Vidarte JD, van Timmeren JE, Vogelius IR. Interfractional dose accumulation for MR-guided liver SBRT: Variation among algorithms is highly patient- and fraction-dependent. Radiother Oncol 2022; 182:109448. [PMID: 36566988 DOI: 10.1016/j.radonc.2022.109448] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 11/22/2022] [Accepted: 12/12/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND PURPOSE Daily plan adaptations could take the dose delivered in previous fractions into account. Due to high dose delivered per fraction, low number of fractions, steep dose gradients, and large interfractional organ deformations, this might be particularly important for liver SBRT. This study investigates inter-algorithm variation of interfractional dose accumulation for MR-guided liver SBRT. MATERIALS AND METHODS We assessed 27 consecutive MR-guided liver SBRT treatments of 67.5 Gy in three (n = 15) or 50 Gy in five fractions (n = 12), both prescribed to the GTV. We calculated fraction doses on daily patient anatomy, warped these doses to the simulation MRI using seven different algorithms, and accumulated the warped doses. Thus, we obtained differences in planned doses and warped or accumulated doses for each algorithm. This enabled us to calculate the inter-algorithm variations in warped doses per fraction and in accumulated doses per treatment course. RESULTS The four intensity-based algorithms were more consistent with planned PTV dose than affine or contour-based algorithms. The mean (range) variation of the dose difference for PTV D95% due to dose warping by these intensity-based algorithms was 10.4 percentage points (0.3 to 43.7) between fractions and 8.6 (0.3 to 24.9) between accumulated treatment doses. As seen by these ranges, the variation was very dependent on the patient and the fraction being analyzed. Nevertheless, no correlations between patient or plan characteristics on the one hand and inter-algorithm dose warping variation on the other hand was found. CONCLUSION Inter-algorithm dose accumulation variation is highly patient- and fraction-dependent for MR-guided liver SBRT. We advise against trusting a single algorithm for dose accumulation in liver SBRT.
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Affiliation(s)
- Isak Wahlstedt
- Department of Health Technology, Technical University of Denmark, Anker Engelunds Vej 1, Bygning 101A, 2800 Kongens Lyngby, Denmark; Department of Oncology, Centre for Cancer and Organ Diseases, Copenhagen University Hospital - Rigshospitalet (RH), Blegdamsvej 9, 2100 Copenhagen, Denmark; Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte (HGH), Borgmester Ib Juuls Vej 7, 2730 Herlev, Denmark.
| | - Abraham George Smith
- Department of Oncology, Centre for Cancer and Organ Diseases, Copenhagen University Hospital - Rigshospitalet (RH), Blegdamsvej 9, 2100 Copenhagen, Denmark; Department of Computer Science, University of Copenhagen, Universitetsparken 1, 2100 Copenhagen, Denmark
| | - Claus Erik Andersen
- Department of Health Technology, Technical University of Denmark, Anker Engelunds Vej 1, Bygning 101A, 2800 Kongens Lyngby, Denmark
| | - Claus Preibisch Behrens
- Department of Health Technology, Technical University of Denmark, Anker Engelunds Vej 1, Bygning 101A, 2800 Kongens Lyngby, Denmark; Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte (HGH), Borgmester Ib Juuls Vej 7, 2730 Herlev, Denmark
| | - Susanne Nørring Bekke
- Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte (HGH), Borgmester Ib Juuls Vej 7, 2730 Herlev, Denmark
| | - Kristian Boye
- Department of Oncology, Centre for Cancer and Organ Diseases, Copenhagen University Hospital - Rigshospitalet (RH), Blegdamsvej 9, 2100 Copenhagen, Denmark
| | - Mette van Overeem Felter
- Department of Oncology, Copenhagen University Hospital - Herlev and Gentofte (HGH), Borgmester Ib Juuls Vej 7, 2730 Herlev, Denmark
| | - Mirjana Josipovic
- Department of Oncology, Centre for Cancer and Organ Diseases, Copenhagen University Hospital - Rigshospitalet (RH), Blegdamsvej 9, 2100 Copenhagen, Denmark; Department of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
| | - Jens Petersen
- Department of Oncology, Centre for Cancer and Organ Diseases, Copenhagen University Hospital - Rigshospitalet (RH), Blegdamsvej 9, 2100 Copenhagen, Denmark; Department of Computer Science, University of Copenhagen, Universitetsparken 1, 2100 Copenhagen, Denmark
| | - Signe Lenora Risumlund
- Department of Oncology, Centre for Cancer and Organ Diseases, Copenhagen University Hospital - Rigshospitalet (RH), Blegdamsvej 9, 2100 Copenhagen, Denmark
| | - José David Tascón-Vidarte
- Department of Computer Science, University of Copenhagen, Universitetsparken 1, 2100 Copenhagen, Denmark
| | | | - Ivan Richter Vogelius
- Department of Oncology, Centre for Cancer and Organ Diseases, Copenhagen University Hospital - Rigshospitalet (RH), Blegdamsvej 9, 2100 Copenhagen, Denmark; Department of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
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Calmels L, Blak Nyrup Biancardo S, Sibolt P, Nørring Bekke S, Bjelkengren U, Wilken E, Geertsen P, Sjöström D, Behrens CF. Single-isocenter stereotactic non-coplanar arc treatment of 200 patients with brain metastases: multileaf collimator size and setup uncertainties. Strahlenther Onkol 2021; 198:436-447. [PMID: 34528112 PMCID: PMC9038816 DOI: 10.1007/s00066-021-01846-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 07/01/2021] [Indexed: 11/24/2022]
Abstract
Purpose The purpose of this study was to evaluate our 2 years’ experience with single-isocenter, non-coplanar, volumetric modulated arc therapy (VMAT) for brain metastasis (BM) stereotactic radiosurgery (SRS). Methods A total of 202 patients treated with the VMAT SRS solution were analyzed retrospectively. Plan quality was assessed for 5 mm (120) and 2.5 mm (high-definition, HD) central leaf width multileaf collimators (MLCs). For BMs at varying distances from the plan isocenter, the geometric offset from the ideal position for two image-guided radiotherapy workflows was calculated. In the workflow with ExacTrac (BrainLAB, München, Germany; W‑ET), patient positioning errors were corrected at each couch rotation. In the workflow without ExacTrac (W-noET), only the initial patient setup correction was considered. The dose variation due to rotational errors was simulated for multiple-BM plans with the HD-MLC. Results Plan conformity and quality assurance were equivalent for plans delivered with the two MLCs while the HD-MLC plans provided better healthy brain tissue (BmP) sparing. 95% of the BMs had residual intrafractional setup errors ≤ 2 mm for W‑ET and 68% for W‑noET. For small BM (≤1 cc) situated >3 cm from the plan isocenter, the dose received by 95% of the BM decreased in median (interquartile range) by 6.3% (2.8–8.8%) for a 1-degree rotational error. Conclusion This study indicates that the HD-MLC is advantageous compared to the 120-MLC for sparing healthy brain tissue. When a 2-mm margin is applied, W‑noET is sufficient to ensure coverage of BM situated ≤ 3 cm of the plan isocenter, while for BM further away, W‑ET is recommended.
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Affiliation(s)
- Lucie Calmels
- Department of Oncology, Radiotherapy Research Unit (52AA), Herlev & Gentofte Hospital, University of Copenhagen, Borgmester Ib Juuls vej 7, 2730, Herlev, Denmark.
| | - Susan Blak Nyrup Biancardo
- Department of Oncology, Radiotherapy Research Unit (52AA), Herlev & Gentofte Hospital, University of Copenhagen, Borgmester Ib Juuls vej 7, 2730, Herlev, Denmark
| | - Patrik Sibolt
- Department of Oncology, Radiotherapy Research Unit (52AA), Herlev & Gentofte Hospital, University of Copenhagen, Borgmester Ib Juuls vej 7, 2730, Herlev, Denmark
| | - Susanne Nørring Bekke
- Department of Oncology, Radiotherapy Research Unit (52AA), Herlev & Gentofte Hospital, University of Copenhagen, Borgmester Ib Juuls vej 7, 2730, Herlev, Denmark
| | - Ulf Bjelkengren
- Department of Oncology, Radiotherapy Research Unit (52AA), Herlev & Gentofte Hospital, University of Copenhagen, Borgmester Ib Juuls vej 7, 2730, Herlev, Denmark
| | - Eva Wilken
- Department of Oncology, Radiotherapy Research Unit (52AA), Herlev & Gentofte Hospital, University of Copenhagen, Borgmester Ib Juuls vej 7, 2730, Herlev, Denmark
| | - Poul Geertsen
- Department of Oncology, Radiotherapy Research Unit (52AA), Herlev & Gentofte Hospital, University of Copenhagen, Borgmester Ib Juuls vej 7, 2730, Herlev, Denmark
| | - David Sjöström
- Department of Oncology, Radiotherapy Research Unit (52AA), Herlev & Gentofte Hospital, University of Copenhagen, Borgmester Ib Juuls vej 7, 2730, Herlev, Denmark
| | - Claus F Behrens
- Department of Oncology, Radiotherapy Research Unit (52AA), Herlev & Gentofte Hospital, University of Copenhagen, Borgmester Ib Juuls vej 7, 2730, Herlev, Denmark
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Kügele M, Mannerberg A, Nørring Bekke S, Alkner S, Berg L, Mahmood F, Thornberg C, Edvardsson A, Bäck SÅJ, Behrens CF, Ceberg S. Surface guided radiotherapy (SGRT) improves breast cancer patient setup accuracy. J Appl Clin Med Phys 2019; 20:61-68. [PMID: 31478615 PMCID: PMC6753725 DOI: 10.1002/acm2.12700] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 06/13/2019] [Accepted: 07/26/2019] [Indexed: 11/11/2022] Open
Abstract
PURPOSE The purpose of the study was to investigate if surface guided radiotherapy (SGRT) can decrease setup deviations for tangential and locoregional breast cancer patients compared to conventional laser-based setup (LBS). MATERIALS AND METHODS Both tangential (63 patients) and locoregional (76 patients) breast cancer patients were enrolled in this study. For LBS, the patients were positioned by aligning skin markers to the room lasers. For the surface based setup (SBS), an optical surface scanning system was used for daily setup using both single and three camera systems. To compare the two setup methods, the patient position was evaluated using verification imaging (field images or orthogonal images). RESULTS For both tangential and locoregional treatments, SBS decreased the setup deviation significantly compared to LBS (P < 0.01). For patients receiving tangential treatment, 95% of the treatment sessions were within the clinical tolerance of ≤ 4 mm in any direction (lateral, longitudinal or vertical) using SBS, compared to 84% for LBS. Corresponding values for patients receiving locoregional treatment were 70% and 54% for SBS and LBS, respectively. No significant difference was observed comparing the setup result using a single camera system or a three camera system. CONCLUSIONS Conventional laser-based setup can with advantage be replaced by surface based setup. Daily SGRT improves patient setup without additional imaging dose to breast cancer patients regardless if a single or three camera system was used.
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Affiliation(s)
- Malin Kügele
- Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden.,Medical Radiation Physics, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Annika Mannerberg
- Medical Radiation Physics, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Susanne Nørring Bekke
- Radiotherapy Research Unit, Department of Oncology, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Sara Alkner
- Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden.,Department of Clinical Sciences, Division of Oncology and Pathology, Lund University, Lund, Sweden
| | - Lovisa Berg
- Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden
| | - Faisal Mahmood
- Department of Oncology, Odense University Hospital, Odense C, Denmark
| | - Charlotte Thornberg
- Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden
| | - Anneli Edvardsson
- Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden
| | - Sven Å J Bäck
- Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden
| | - Claus F Behrens
- Radiotherapy Research Unit, Department of Oncology, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Sofie Ceberg
- Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden.,Medical Radiation Physics, Department of Clinical Sciences, Lund University, Lund, Sweden
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