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Barten DLJ, van Kesteren Z, Laan JJ, Dassen MG, Westerveld GH, Pieters BR, de Jonge CS, Stoker J, Bel A. Precision assessment of bowel motion quantification using 3D cine-MRI for radiotherapy. Phys Med Biol 2024; 69:04NT01. [PMID: 38232395 DOI: 10.1088/1361-6560/ad1f89] [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: 08/30/2023] [Accepted: 01/17/2024] [Indexed: 01/19/2024]
Abstract
Objective. The bowel is an important organ at risk for toxicity during pelvic and abdominal radiotherapy. Identifying regions of high and low bowel motion with MRI during radiotherapy may help to understand the development of bowel toxicity, but the acquisition time of MRI is rather long. The aim of this study is to retrospectively evaluate the precision of bowel motion quantification and to estimate the minimum MRI acquisition time.Approach. We included 22 gynaecologic cancer patients receiving definitive radiotherapy with curative intent. The 10 min pre-treatment 3D cine-MRI scan consisted of 160 dynamics with an acquisition time of 3.7 s per volume. Deformable registration of consecutive images generated 159 deformation vector fields (DVFs). We defined two motion metrics, the 50th percentile vector lengths (VL50) of the complete set of DVFs was used to measure median bowel motion. The 95th percentile vector lengths (VL95) was used to quantify high motion of the bowel. The precision of these metrics was assessed by calculating their variation (interquartile range) in three different time frames, defined as subsets of 40, 80, and 120 consecutive images, corresponding to acquisition times of 2.5, 5.0, and 7.5 min, respectively.Main results. For the full 10 min scan, the minimum motion per frame of 50% of the bowel volume (M50%) ranged from 0.6-3.5 mm for the VL50 motion metric and 2.3-9.0 mm for the VL95 motion metric, across all patients. At 7.5 min scan time, the variation in M50% was less than 0.5 mm in 100% (VL50) and 95% (VL95) of the subsets. A scan time of 5.0 and 2.5 min achieved a variation within 0.5 mm in 95.2%/81% and 85.7%/57.1% of the subsets, respectively.Significance. Our 3D cine-MRI technique quantifies bowel loop motion with 95%-100% confidence with a precision of 0.5 mm variation or less, using a 7.5 min scan time.
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Affiliation(s)
- D L J Barten
- Amsterdam UMC location University of Amsterdam, Department of Radiation Oncology, Meibergdreef 9, 1105 AZAmsterdam, The Netherlands
| | - Z van Kesteren
- Amsterdam UMC location University of Amsterdam, Department of Radiation Oncology, Meibergdreef 9, 1105 AZAmsterdam, The Netherlands
| | - J J Laan
- Amsterdam UMC location University of Amsterdam, Department of Radiation Oncology, Meibergdreef 9, 1105 AZAmsterdam, The Netherlands
| | - M G Dassen
- Amsterdam UMC location University of Amsterdam, Department of Radiation Oncology, Meibergdreef 9, 1105 AZAmsterdam, The Netherlands
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - G H Westerveld
- Amsterdam UMC location University of Amsterdam, Department of Radiation Oncology, Meibergdreef 9, 1105 AZAmsterdam, The Netherlands
- Erasmus MC Cancer Institute, Erasmus University Medical Center, Department of Radiation Oncology, Rotterdam, The Netherlands
| | - B R Pieters
- Amsterdam UMC location University of Amsterdam, Department of Radiation Oncology, Meibergdreef 9, 1105 AZAmsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - C S de Jonge
- Amsterdam UMC location University of Amsterdam, Department of Radiology and Nuclear Medicine, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam, The Netherlands
| | - J Stoker
- Amsterdam UMC location University of Amsterdam, Department of Radiology and Nuclear Medicine, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
- Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam, The Netherlands
| | - A Bel
- Amsterdam UMC location University of Amsterdam, Department of Radiation Oncology, Meibergdreef 9, 1105 AZAmsterdam, The Netherlands
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Veldman JK, van Duren KML, Parkes M, Stevens MF, van Schuppen J, van Kesteren Z, van den Aardweg JG, van Tienhoven G, Bel A, van Dijk IW. Rapid Mechanical Ventilation Superior to Rapid Jet Ventilation for Diaphragm Motion Reduction in Radiotherapy. Int J Radiat Oncol Biol Phys 2023; 117:e731. [PMID: 37786127 DOI: 10.1016/j.ijrobp.2023.06.2251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) To account for respiratory motion in radiotherapy either large target volumes are defined, or patients are instructed to breath-hold repeatedly. Alternatively, non-invasive ventilation induced regularized breathing at high frequencies may reduce motion, minimizing irradiated volumes. We quantified the motion of the right hemidiaphragm during rapid non-invasive mechanical ventilation (NI-MV) and rapid non-invasive jet ventilation (JET) to compare the effectiveness on respiratory motion. MATERIALS/METHODS After ethics committee approval and written informed consent, 15 healthy volunteers enrolled in this study. During a first session, they were trained being ventilated with NI-MV and JET to regularize their breathing. The ventilation frequencies under investigation included 60 breaths per minute (brpm) NI-MV (60NI-MV), and 60, 150, 250 and 400 brpm JET (60JET, 150JET, 250JET and 400JET, respectively). In a second session, ultrasound movies of 40 sec (temporal resolution 23 Hz) were acquired in the sagittal plane twice for each ventilation frequency. We quantified the magnitude of ventilation-induced rhythmic motion as the mean distance between each subsequent end-inspiration and end-expiration position of the diaphragm. Also, we determined the overall maximum motion of the diaphragm over the 40 sec measurement. We tested for statistically significant differences between median rhythmic motion and overall maximum motion during all frequencies (paired Wilcoxon's tests (n = 10); corrected p-value for multiple testing (p = 0.05/N)). RESULTS All volunteers were successfully trained. There were no significant differences between repeated measurements of each ventilation frequency; hence we pooled the data. We found that 60NI-MV resulted in significantly smaller rhythmic motion compared to 60JET (median 5.0 mm and 8.9 mm respectively; p<0.001). Higher ventilation frequencies with JET decreased the median rhythmic motion magnitude (2.3 mm, 1.0 mm and 0.5 mm at 150JET, 250JET and 400JET respectively; p<0.001). However, during these higher frequencies the smaller rhythmic motion magnitudes did not result in smaller overall maximum motion compared to 60NI-MV. The median overall motion was 17.2 mm, 15.8 mm and 13.4 mm for 150JET, 250JET and 400JET respectively (p<0.005 only between 60JET and 400JET). The overall maximum motion during 60NI-MV was significantly smaller compared to 60JET (12.3 mm and 24.1 mm respectively; p<0.001). The US movies clearly showed that volunteers superimposed spontaneous breathing on top of JET. Finally, volunteers indicated NI-MV to be more comfortable than JET. CONCLUSION Mechanical ventilation at 60 brpm maximally reduced the overall motion of the right hemidiaphragm and was more comfortable than jet ventilation. Therefore, mechanical ventilation appears to be superior to control respiratory motion for radiotherapy.
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Affiliation(s)
- J K Veldman
- Department of Radiation Oncology, Amsterdam UMC - location University of Amsterdam, Amsterdam, The Netherlands
| | - K M L van Duren
- Department of Radiation Oncology, Amsterdam UMC - location University of Amsterdam, Amsterdam, The Netherlands
| | - M Parkes
- Department of Radiation Oncology, Amsterdam UMC - location University of Amsterdam, Amsterdam, The Netherlands
| | - M F Stevens
- Department of Anaesthesiology, Amsterdam UMC - location University of Amsterdam, Amsterdam, The Netherlands
| | - J van Schuppen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC - location University of Amsterdam, Amsterdam, The Netherlands
| | - Z van Kesteren
- Department of Radiation Oncology, Amsterdam UMC - location University of Amsterdam, Amsterdam, The Netherlands
| | - J G van den Aardweg
- Department of Pulmonology, Amsterdam UMC - location University of Amsterdam, Amsterdam, The Netherlands
| | - G van Tienhoven
- Department of Radiation Oncology, Amsterdam UMC - location University of Amsterdam, Amsterdam, The Netherlands
| | - A Bel
- Department of Radiation Oncology, Amsterdam UMC - location University of Amsterdam, Amsterdam, The Netherlands
| | - I W van Dijk
- Department of Radiation Oncology, Amsterdam UMC - location University of Amsterdam, Amsterdam, The Netherlands
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Bel A, Azzarouali S, Goudschaal K, den Boer D, Daniels L, Visser J, Hulshof M. Clinical Feasibility of Daily Online Adaptive Bladder Cancer Radiotherapy with Cone Beam CT, Using Fiducial Makers. Int J Radiat Oncol Biol Phys 2023; 117:e643. [PMID: 37785915 DOI: 10.1016/j.ijrobp.2023.06.2055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Radiotherapy (RT) for muscle invasive bladder cancer is challenging due to varying bladder filling. We assessed the efficacy and feasibility of online adaptive RT (oART), applying a focal boost to the tumor, in terms of dose and workflow. MATERIALS/METHODS Bladder cancer patients (N = 15) were treated with oART on a ring-shaped Linac. This system integrates imaging (CBCT) with AI-based organ and tumor segmentation, adaptive treatment planning and delivery. Before treatment the GTV was demarcated with liquid markers. On the planning CT organs-at-risk and the GTV were contoured. The reference treatment plan was optimized with total dose for PTV (elective bladder, lymph nodes) 40Gy/20 fractions and an integrated focal boost to the GTV (15Gy). Margins were 3mm (GTV-CTV) and 5mm (CTV-PTV). Before each daily treatment, a CBCT was acquired. Bladder, rectum and GTV were determined by the AI. Planning CT and CBCT were registered to generate other organs at risk. Subsequently, the dose of the reference plan was calculated for this anatomy (scheduled plan). An adaptive plan was generated by reoptimization. Subsequently, a second pretreatment CBCT (CBCT2) was made to verify and correct the position, when necessary. Target coverage for PTV and GTV (V95%) and dose outside the target were evaluated on CBCT2. Radiation therapists (RTTs) executed the oART workflow with medical physicists (MPs) and radiation oncologists (ROs) on call. The time (median [range]) and personnel involvement were monitored. RESULTS For all adaptive plans V95%>98% for CTV and GTV (boost) volumes. For scheduled plans this was 53.5% (CTV boost) and 98.5% (bladder+lymph nodes). For adaptive vs scheduled plans, the volume of dose (40Gy) to tissue outside the PTV reduced with 150cm3(p<0. 01). Median session time (patient entering-leaving) was 32 [25-45] min for the first 5 patients and reduced to 27 [20-61] min for subsequent patients. About 30% of this time was reoptimization. AI-generated GTVs were corrected in 75% for the first 5 patients and 40% for subsequent patients (taking 5min). Fiducial markers were clearly visible on CBCTs supporting GTV localization. ROs and MPs were consulted during each first fraction (5% of total) and 12% of the remaining fractions. CONCLUSION The adaptive procedure is well feasible in clinical practice with an RTT-only workflow. The procedure takes longer than conventional RT, with reoptimization as a main factor. Dosimetric result are clearly favorable compared to delivery of non-adaptive plans.
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Affiliation(s)
- A Bel
- Department of Radiation Oncology, Amsterdam UMC - location University of Amsterdam, Amsterdam, The Netherlands
| | - S Azzarouali
- Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - K Goudschaal
- Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - D den Boer
- Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - L Daniels
- Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - J Visser
- Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - M Hulshof
- Amsterdam University Medical Centers, Amsterdam, The Netherlands
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Corniquet M, Khalifé M, Lellouch AG, Bel A, Bellenfant F, Julia P, Alsac JM, El Batti S, Ben Abdallah I. Ruptured infective native thoracic aortic aneurysm treated by endovascular repair as a bridge therapy to open repair. J Med Vasc 2023; 48:36-40. [PMID: 37120270 DOI: 10.1016/j.jdmv.2023.02.001] [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] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 02/14/2023] [Indexed: 05/01/2023]
Abstract
We report the case of a 70-year-old woman who presented with a ruptured infective native thoracic aortic aneurysm (INTAA), associated with spondylodiscitis and posterior mediastinitis. She underwent a staged hybrid repair: urgent thoracic endovascular aortic repair was first performed as a bridge therapy in the context of septic shock. Allograft repair using cardiopulmonary bypass was performed five days later. Given the complexity of INTAA, multidisciplinary teamwork was paramount to determine the most appropriate treatment strategy, including procedure planning with multiple operators as well as perioperative care. Therapeutic alternatives are discussed.
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Affiliation(s)
- M Corniquet
- Department of cardiovascular surgery, Hôpital Européen Georges-Pompidou (HEGP), Université Paris Cité, Assistance publique-Hôpitaux de Paris (AP-HP), 20, rue Leblanc, 75015 Paris, France; Inserm, UMR S 1140, Fondation Alain Carpentier, Laboratoire de Recherches Biochirugicales, 75015 Paris, France.
| | - M Khalifé
- Department of orthopedic surgery, HEGP, Université Paris Cité, AP-HP, 20, rue Leblanc, 75015 Paris, France.
| | - A G Lellouch
- Department of plastic surgery, HEGP, Université Paris Cité, AP-HP, 20, rue Leblanc, 75015 Paris, France.
| | - A Bel
- Department of cardiovascular surgery, Hôpital Européen Georges-Pompidou (HEGP), Université Paris Cité, Assistance publique-Hôpitaux de Paris (AP-HP), 20, rue Leblanc, 75015 Paris, France; Inserm, UMR S 1140, Fondation Alain Carpentier, Laboratoire de Recherches Biochirugicales, 75015 Paris, France.
| | - F Bellenfant
- Department of anesthesiology and critical care, HEGP, Université Paris Cité, AP-HP, 20, rue Leblanc, 75015 Paris, France.
| | - P Julia
- Department of cardiovascular surgery, Hôpital Européen Georges-Pompidou (HEGP), Université Paris Cité, Assistance publique-Hôpitaux de Paris (AP-HP), 20, rue Leblanc, 75015 Paris, France.
| | - J-M Alsac
- Department of cardiovascular surgery, Hôpital Européen Georges-Pompidou (HEGP), Université Paris Cité, Assistance publique-Hôpitaux de Paris (AP-HP), 20, rue Leblanc, 75015 Paris, France; Inserm, UMR S 1140, Fondation Alain Carpentier, Laboratoire de Recherches Biochirugicales, 75015 Paris, France.
| | - S El Batti
- Department of cardiovascular surgery, Hôpital Européen Georges-Pompidou (HEGP), Université Paris Cité, Assistance publique-Hôpitaux de Paris (AP-HP), 20, rue Leblanc, 75015 Paris, France; Inserm, UMR S 1140, Fondation Alain Carpentier, Laboratoire de Recherches Biochirugicales, 75015 Paris, France.
| | - I Ben Abdallah
- Department of cardiovascular surgery, Hôpital Européen Georges-Pompidou (HEGP), Université Paris Cité, Assistance publique-Hôpitaux de Paris (AP-HP), 20, rue Leblanc, 75015 Paris, France; Inserm, UMR S 1140, Fondation Alain Carpentier, Laboratoire de Recherches Biochirugicales, 75015 Paris, France.
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Morfouace M, Hol M, Schoot R, Arruti N, Wiersma J, Mandeville H, Dávila-Fajardo R, Pieters B, Saeed P, Bel A, Indelicato D. Exploration of dose-toxicity for ophthalmological adverse events in pediatric head and neck rhabdomyosarcoma survivors. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.09.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Meijer K, Van Dijk I, Frank M, Hoek AVD, Balgobind B, Janssens G, Wendling M, Maduro J, Bryce-Atkinson A, Loginova A, Bel A. Interfractional diaphragm and abdominal organ motion in 189 children during radiotherapy: a multicenter study. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.09.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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van Kesteren Z, Veldman JK, Parkes MJ, Stevens MF, Balasupramaniam P, van den Aardweg JG, van Tienhoven G, Bel A, van Dijk IWEM. Correction: Quantifying the reduction of respiratory motion by mechanical ventilation with MRI for radiotherapy. Radiat Oncol 2022; 17:113. [PMID: 35765010 PMCID: PMC9238002 DOI: 10.1186/s13014-022-02071-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Affiliation(s)
- Z van Kesteren
- Department of Radiation Oncology, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
| | - J K Veldman
- Department of Radiation Oncology, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - M J Parkes
- Department of Radiation Oncology, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - M F Stevens
- Department of Anesthesiology, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.,Department of Anesthesiology, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - P Balasupramaniam
- Department of Radiation Oncology, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - J G van den Aardweg
- Department of Pulmonology, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - G van Tienhoven
- Department of Radiation Oncology, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - A Bel
- Department of Radiation Oncology, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - I W E M van Dijk
- Department of Radiation Oncology, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
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van Kesteren Z, Veldman JK, Parkes MJ, Stevens MF, Balasupramaniam P, van den Aardweg JG, van Tienhoven G, Bel A, van Dijk IWEM. Quantifying the reduction of respiratory motion by mechanical ventilation with MRI for radiotherapy. Radiat Oncol 2022; 17:99. [PMID: 35597956 PMCID: PMC9123684 DOI: 10.1186/s13014-022-02068-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 02/16/2022] [Accepted: 05/12/2022] [Indexed: 12/13/2022] Open
Abstract
Background Due to respiratory motion, accurate radiotherapy delivery to thoracic and abdominal tumors is challenging. We aimed to quantify the ability of mechanical ventilation to reduce respiratory motion, by measuring diaphragm motion magnitudes in the same volunteers during free breathing (FB), mechanically regularized breathing (RB) at 22 breaths per minute (brpm), variation in mean diaphragm position across multiple deep inspiration breath-holds (DIBH) and diaphragm drift during single prolonged breath-holds (PBH) in two MRI sessions. Methods In two sessions, MRIs were acquired from fifteen healthy volunteers who were trained to be mechanically ventilated non-invasively We measured diaphragm motion amplitudes during FB and RB, the inter-quartile range (IQR) of the variation in average diaphragm position from one measurement over five consecutive DIBHs, and diaphragm cranial drift velocities during single PBHs from inhalation (PIBH) and exhalation (PEBH) breath-holds. Results RB significantly reduced the respiratory motion amplitude by 39%, from median (range) 20.9 (10.6–41.9) mm during FB to 12.8 (6.2–23.8) mm. The median IQR for variation in average diaphragm position over multiple DIBHs was 4.2 (1.0–23.6) mm. During single PIBHs with a median duration of 7.1 (2.0–11.1) minutes, the median diaphragm cranial drift velocity was 3.0 (0.4–6.5) mm/minute. For PEBH, the median duration was 5.8 (1.8–10.2) minutes with 4.4 (1.8–15.1) mm/minute diaphragm drift velocity. Conclusions Regularized breathing at a frequency of 22 brpm resulted in significantly smaller diaphragm motion amplitudes compared to free breathing. This would enable smaller treatment volumes in radiotherapy. Furthermore, prolonged breath-holding from inhalation and exhalation with median durations of six to seven minutes are feasible. Trial registration Medical Ethics Committee protocol NL.64693.018.18.
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Affiliation(s)
- Z van Kesteren
- Department of Radiation Oncology, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
| | - J K Veldman
- Department of Radiation Oncology, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - M J Parkes
- Department of Radiation Oncology, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - M F Stevens
- Department of Anesthesiology, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.,Department of Anesthesiology, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - P Balasupramaniam
- Department of Radiation Oncology, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - J G van den Aardweg
- Department of Pulmonology, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - G van Tienhoven
- Department of Radiation Oncology, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - A Bel
- Department of Radiation Oncology, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - I W E M van Dijk
- Department of Radiation Oncology, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
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Azzarouali S, Goudschaal K, den Boer D, Visser J, Hulshof M, Bel A. PD-0235 AI-based online adaptive CBCT-guided radiotherapy for bladder cancer using SIB and fiducial markers. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)02790-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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van Kesteren Z, Veldman J, Parkes M, Tienhoven G, van den Aardweg J, Stevens M, Bel A, van Dijk I. PD-0233 Breathing amplitude is reduced by rapid shallow breathing at 60 breaths/minute. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)02788-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Parkes M, Van Dijk I, Veldman J, Van Kesteren Z, Stevens M, Van Tienhoven G, Van Den Aardweg J, Green S, Clutton-Brock T, Bel A. PO-1072 Mechanical re-inflation to maintain chest inflation during prolonged breath-holds for radiotherapy. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)03036-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Veldman J, van Kesteren Z, Gunwhy E, Parkes M, Stevens M, van den Aardweg J, van Tienhoven G, Bel A, van Dijk I. PD-0229 3D abdominal organ motion correlates strongly with the diaphragm during prolonged breath-holds. Radiother Oncol 2022. [DOI: 10.1016/s0167-8140(22)02784-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Van Ngoc Ty C, Bel A, Fitton I, Clement O. Radiation dose optimization for endomyocardial biopsies. Phys Med 2021. [DOI: 10.1016/s1120-1797(22)00495-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Dassen M, Barten D, Laan J, Westerveld H, Bel A, Van Kesteren Z. PH-0267 Exploration of feasible motion metrics for bowel motion quantification in pelvic radiotherapy. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)07282-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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15
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Bleeker M, Hulshof M, Bel A, Sonke J, van der Horst A. OC-0617 Gastric deformation models for adaptive radiotherapy: Personalized vs Population-based strategy. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)06973-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Frank M, de Jong R, Visser J, van Wieringen N, Wiersma J, Geijsen D, Bel A. OC-0618 Feasibility CBCT-based online adaptive 5x5Gy radiotherapy for neoadjuvant rectal cancer treatment. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)06974-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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van der Meer M, Pieters B, Niehoff P, Milickovic N, Niatsetski Y, Alderliesten T, Bosman P, Bel A. PO-0200 Comparison of catheter position planning algorithms for HDR prostate brachytherapy under uncertainty. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)06359-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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van der Meer M, van Dorth D, Bosman P, Pieters B, Niatsetski Y, Alderliesten T, Bel A. PO-0216 Healthy tissue constraints for catheter position optimization in HDR prostate brachytherapy planning. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)06375-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Virgolin M, Wang Z, Balgobind BV, van Dijk IWEM, Wiersma J, Kroon PS, Janssens GO, van Herk M, Hodgson DC, Zadravec Zaletel L, Rasch CRN, Bel A, Bosman PAN, Alderliesten T. Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy. Phys Med Biol 2020; 65:245021. [PMID: 32580177 DOI: 10.1088/1361-6560/ab9fcc] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
To study radiotherapy-related adverse effects, detailed dose information (3D distribution) is needed for accurate dose-effect modeling. For childhood cancer survivors who underwent radiotherapy in the pre-CT era, only 2D radiographs were acquired, thus 3D dose distributions must be reconstructed from limited information. State-of-the-art methods achieve this by using 3D surrogate anatomies. These can however lack personalization and lead to coarse reconstructions. We present and validate a surrogate-free dose reconstruction method based on Machine Learning (ML). Abdominal planning CTs (n = 142) of recently-treated childhood cancer patients were gathered, their organs at risk were segmented, and 300 artificial Wilms' tumor plans were sampled automatically. Each artificial plan was automatically emulated on the 142 CTs, resulting in 42,600 3D dose distributions from which dose-volume metrics were derived. Anatomical features were extracted from digitally reconstructed radiographs simulated from the CTs to resemble historical radiographs. Further, patient and radiotherapy plan features typically available from historical treatment records were collected. An evolutionary ML algorithm was then used to link features to dose-volume metrics. Besides 5-fold cross validation, a further evaluation was done on an independent dataset of five CTs each associated with two clinical plans. Cross-validation resulted in mean absolute errors ≤ 0.6 Gy for organs completely inside or outside the field. For organs positioned at the edge of the field, mean absolute errors ≤ 1.7 Gy for [Formula: see text], ≤ 2.9 Gy for [Formula: see text], and ≤ 13% for [Formula: see text] and [Formula: see text], were obtained, without systematic bias. Similar results were found for the independent dataset. To conclude, we proposed a novel organ dose reconstruction method that uses ML models to predict dose-volume metric values given patient and plan features. Our approach is not only accurate, but also efficient, as the setup of a surrogate is no longer needed.
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Affiliation(s)
- M Virgolin
- Life Sciences and Health Group, Centrum Wiskunde & Informatica, The Netherlands. shared first authorship, the two authors contributed equally to this work
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Bryce-Atkinson A, de Jong R, Bel A, Aznar MC, Whitfield G, van Herk M. Evaluation of Ultra-low-dose Paediatric Cone-beam Computed Tomography for Image-guided Radiotherapy. Clin Oncol (R Coll Radiol) 2020; 32:835-844. [PMID: 33067079 DOI: 10.1016/j.clon.2020.09.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 09/11/2020] [Accepted: 09/29/2020] [Indexed: 01/01/2023]
Abstract
AIMS In image-guided radiotherapy, daily cone-beam computed tomography (CBCT) is rarely applied to children due to concerns over imaging dose. Simulating low-dose CBCT can aid clinical protocol design by allowing visualisation of new scan protocols in patients without delivering additional dose. This work simulated ultra-low-dose CBCT and evaluated its use for paediatric image-guided radiotherapy by assessment of image registration accuracy and visual image quality. MATERIALS AND METHODS Ultra-low-dose CBCT was simulated by adding the appropriate amount of noise to projection images prior to reconstruction. This simulation was validated in phantoms before application to paediatric patient data. Scans from 20 patients acquired at our current clinical protocol (0.8 mGy) were simulated for a range of ultra-low doses (0.5, 0.4, 0.2 and 0.125 mGy) creating 100 scans in total. Automatic registration accuracy was assessed in all 100 scans. Inter-observer registration variation was next assessed for a subset of 40 scans (five scans at each simulated dose and 20 scans at the current clinical protocol). This subset was assessed for visual image quality by Likert scale grading of registration performance and visibility of target coverage, organs at risk, soft-tissue structures and bony anatomy. RESULTS Simulated and acquired phantom scans were in excellent agreement. For patient scans, bony atomy registration discrepancies for ultra-low-dose scans fell within 2 mm (translation) and 1° (rotation) compared with the current clinical protocol, with excellent inter-observer agreement. Soft-tissue registration showed large discrepancies. Bone visualisation and registration performance reached over 75% acceptability (rated 'well' or 'very well') down to the lowest doses. Soft-tissue visualisation did not reach this threshold for any dose. CONCLUSION Ultra-low-dose CBCT was accurately simulated and evaluated in patient data. Patient scans simulated down to 0.125 mGy were appropriate for bony anatomy set-up. The large dose reduction could allow for more frequent (e.g. daily) image guidance and, hence, more accurate set-up for paediatric radiotherapy.
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Affiliation(s)
- A Bryce-Atkinson
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
| | - R de Jong
- Department of Radiation Oncology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - A Bel
- Department of Radiation Oncology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - M C Aznar
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK; Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - G Whitfield
- Manchester Academic Health Science Centre, The Christie NHS Foundation Trust, Manchester, UK; The Children's Brain Tumour Research Network, The University of Manchester, Royal Manchester Children's Hospital, Manchester, UK
| | - M van Herk
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
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De Jong R, Visser J, Crama K, Van Wieringen N, Wiersma J, Geijsen D, Bel A. OC-0439: Quantifying the benefit of online adaptive radiotherapy for rectal cancer compared to plan selection. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)00461-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Laan J, Barten D, Van Kesteren Z, Pieters B, Bel A, Westerveld H. OC-0568: The effect of external beam radiotherapy on bowel motility in gynaecological cancer patients. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)00590-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Van Herten Y, Van Wieringen N, Wiersma J, De Jong R, Bel A. PO-1894: AD-HOC adaptive radiotherapy: how often do anatomical changes lead to treatment adaptation? Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)01912-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Bryce-Atkinson A, De Jong R, Bel A, Aznar M, Whitfield G, Van Herk M. PO-1740: Quantitative evaluation of ultra-low dose paediatric cone beam CT for image-guided radiotherapy. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)01758-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Van Dijk I, Parkes M, Stevens M, Balasupramaniam P, Van den Aardweg J, Van Tienhoven G, Van Kesteren Z, Bel A. OC-0339: First MRI based quantification of diaphragm motion during prolonged breath-holds up to 8 minutes. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)00363-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Crama K, Brondijk E, Visser J, Bel A. PO-1864: Can underdosage due to breast swelling be mitigated with robust optimization for breast radiotherapy. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)01882-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Barten D, Van Kesteren Z, Visser J, Laan J, Westerveld H, Bel A. PO-1730: Development of a framework to quantify bowel motility in 3D using MRI. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)01748-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Den Boer D, Veldman J, Bel A, Van Kesteren Z. PO-1723: Evaluation of outlier rejection in 4D-MRI for motion estimation of subsequent sessions. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)01741-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Bertholet J, Distefano G, Noble D, Bel A, VanLeeuwen R, Roggen T, Duchateau M, Thørnqvist S, Garibaldi C, Tilly N, Mollá RG, Bonaque J, Oelfke U, Aznar M, Heijmen B. PD-0311: Patterns of practice for adaptive and real-time radiation therapy part II: interfractional changes. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)00335-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Virgolin M, Wang Z, Balgobind B, Van Dijk I, Wiersma J, Hodgson D, Bryce-Atkinson A, Van Herk M, Rasch C, Zadravec Zaletel L, Kroon P, Janssens G, Bel A, Bosman P, Alderliesten T. OC-0225: Highly-individualized dose reconstruction for pediatric abdominal radiotherapy with machine learning. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)00249-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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31
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Veldman J, Den Boer D, Bel A, Van Kesteren Z. PO-1644: Inter-session variability of 4DMRI image quality after outlier rejection. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)01662-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Nelissen K, Barten D, Laan J, Westerveld H, Bel A, Van Kesteren Z. PO-1729: Quality assurance of deformable image registration for bowel motility quantification. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)01747-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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de Jong R, Crama KF, Visser J, van Wieringen N, Wiersma J, Geijsen ED, Bel A. Online adaptive radiotherapy compared to plan selection for rectal cancer: quantifying the benefit. Radiat Oncol 2020; 15:162. [PMID: 32641080 PMCID: PMC7371470 DOI: 10.1186/s13014-020-01597-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [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: 03/05/2020] [Accepted: 06/11/2020] [Indexed: 12/21/2022] Open
Abstract
Background To compare online adaptive radiation therapy (ART) to a clinically implemented plan selection strategy (PS) with respect to dose to the organs at risk (OAR) for rectal cancer. Methods The first 20 patients treated with PS between May–September 2016 were included. This resulted in 10 short (SCRT) and 10 long (LCRT) course radiotherapy treatment schedules with a total of 300 Conebeam CT scans (CBCT). New dual arc VMAT plans were generated using auto-planning for both the online ART and PS strategy. For each fraction bowel bag, bladder and mesorectum were delineated on daily Conebeam CTs. The dose distribution planned was used to calculate daily DVHs. Coverage of the CTV was calculated, as defined by the dose received by 99% of the CTV volume (D99%). The volume of normal tissue irradiated with 95% of the prescribed fraction dose was calculated by calculating the volume receiving 95% of the prescribed fraction or more dose minus the volume of the CTV. For each fraction the difference between the plan selection and online adaptive strategy of each DVH parameter was calculated, as well as the average difference per patient. Results Target coverage remained the same for online ART. The median volume of the normal tissue irradiated with 95% of the prescribed dose dropped from 642 cm3 (PS) to 237 cm3 (online-ART)(p < 0.001). Online ART reduced dose to the OARs for all tested dose levels for SCRT and LCRT (p < 0.001). For V15Gy of the bowel bag the median difference over all fractions of all patients was − 126 cm3 in LCRT, while the average difference per patient ranged from − 206 cm3 to − 40 cm3. For SCRT the median difference was − 62 cm3, while the range of the average difference per patient was − 105 cm3 to − 51 cm3. For V15Gy of the bladder the median difference over all fractions of all patients was 26% in LCRT, while the average difference per patient ranged from − 34 to 12%. For SCRT the median difference of V95% was − 8%, while the range of the average difference per patient was − 29 to 0%. Conclusions Online ART for rectal cancer reduces dose the OARs significantly compared to a clinically implemented plan selection strategy, without compromising target coverage. Trial registration Medical Research Involving Human Subjects Act (WMO) does not apply to this study and was retrospectively approved by the Medical Ethics review Committee of the Academic Medical Center (W19_357 # 19.420; Amsterdam University Medical Centers, Location Academic Medical Center, Amsterdam, The Netherlands).
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Affiliation(s)
- R de Jong
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands.
| | - K F Crama
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
| | - J Visser
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
| | - N van Wieringen
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
| | - J Wiersma
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
| | - E D Geijsen
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
| | - A Bel
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
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Maree SC, Bosman PAN, van Wieringen N, Niatsetski Y, Pieters BR, Bel A, Alderliesten T. Automatic bi-objective parameter tuning for inverse planning of high-dose-rate prostate brachytherapy. ACTA ACUST UNITED AC 2020; 65:075009. [DOI: 10.1088/1361-6560/ab7362] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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de Jong R, Visser J, Crama KF, van Wieringen N, Wiersma J, Geijsen ED, Bel A. Dosimetric benefit of an adaptive treatment by means of plan selection for rectal cancer patients in both short and long course radiation therapy. Radiat Oncol 2020; 15:13. [PMID: 31931829 PMCID: PMC6958623 DOI: 10.1186/s13014-020-1461-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [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: 08/09/2019] [Accepted: 01/06/2020] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND To compare target coverage and dose to the organs at risk in two approaches to rectal cancer: a clinically implemented adaptive radiotherapy (ART) strategy using plan selection, and a non-adaptive (non-ART) strategy. METHODS The inclusion of the first 20 patients receiving adaptive radiotherapy produced 10 patients with a long treatment schedule (25x2Gy) and 10 patients with a short schedule (5X5Gy). We prepared a library of three plans with different anterior PTV margins to the upper mesorectum, and selected the most appropriate plan on daily Conebeam CT scans (CBCT). We also created a non-adaptive treatment plan with a 20 mm margin. Bowel bag, bladder and target volume were delineated on CBCT. Daily DHVs were calculated based on the dose distribution of the selected and non-adaptive plans. Coverage of the target volume was compared per fraction between the ART and non-ART plans, as was the dose to the bladder and small bowel, assessing the following dose levels: V15Gy, V30Gy, V40Gy, V15Gy and V95% for long treatment schedules, and V15Gy and V95% for short ones. RESULTS Target volume coverage was maintained from 98.3% (non-ART) to 99.0% (ART)(p = 0.878). In the small bowel, ART appeared to have produced significant reductions in the long treatment schedule at V15Gy, V40Gy, V45Gy and V95% (p < 0.05), but with small absolute differences. The DVH parameters tested for the short treatment schedule did not differ significantly. In the bladder, all DVH parameters in both schedules showed significant reductions (p < 0.05), also with small absolute differences. CONCLUSIONS The adaptive treatment maintained target coverage and reduced dose to the organs at risk. TRIAL REGISTRATION Medical Research Involving Human Subjects Act (WMO) does not apply to this study and was retrospectively approved by the Medical Ethics review Committee of the Academic Medical Center, W19_194 # 19.233.
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Affiliation(s)
- R de Jong
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands.
| | - J Visser
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
| | - K F Crama
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
| | - N van Wieringen
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
| | - J Wiersma
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
| | - E D Geijsen
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
| | - A Bel
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
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Van Dijk I, Windmeijer C, De Jong R, Balgobind B, Bel A. An European survey to evaluate clinical practice of image-guided radiation therapy in children - On behalf of the participating members of the Pediatric Radiation Oncology Society and our projectbased consortium. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.07.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Brosseau C, Danger R, Durand M, Durand E, Foureau A, Lacoste P, Tissot A, Roux A, Reynaud-Gaubert M, Kessler R, Mussot S, Dromer C, Brugière O, Mornex JF, Guillemain R, Claustre J, Magnan A, Brouard S, Velly J, Rozé H, Blanchard E, Antoine M, Cappello M, Ruiz M, Sokolow Y, Vanden Eynden F, Van Nooten G, Barvais L, Berré J, Brimioulle S, De Backer D, Créteur J, Engelman E, Huybrechts I, Ickx B, Preiser T, Tuna T, Van Obberghe L, Vancutsem N, Vincent J, De Vuyst P, Etienne I, Féry F, Jacobs F, Knoop C, Vachiéry J, Van den Borne P, Wellemans I, Amand G, Collignon L, Giroux M, Angelescu D, Chavanon O, Hacini R, Martin C, Pirvu A, Porcu P, Albaladejo P, Allègre C, Bataillard A, Bedague D, Briot E, Casez‐Brasseur M, Colas D, Dessertaine G, Francony G, Hebrard A, Marino M, Protar D, Rehm D, Robin S, Rossi‐Blancher M, Augier C, Bedouch P, Boignard A, Bouvaist H, Briault A, Camara B, Chanoine S, Dubuc M, Quétant S, Maurizi J, Pavèse P, Pison C, Saint‐Raymond C, Wion N, Chérion C, Grima R, Jegaden O, Maury J, Tronc F, Flamens C, Paulus S, Philit F, Senechal A, Glérant J, Turquier S, Gamondes D, Chalabresse L, Thivolet‐Bejui F, Barnel C, Dubois C, Tiberghien A, Pimpec‐Barthes F, Bel A, Mordant P, Achouh P, Boussaud V, Méléard D, Bricourt M, Cholley B, Pezella V, Brioude G, D'Journo X, Doddoli C, Thomas P, Trousse D, Dizier S, Leone M, Papazian L, Bregeon F, Coltey B, Dufeu N, Dutau H, Garcia S, Gaubert J, Gomez C, Laroumagne S, Mouton G, Nieves A, Picard C, Rolain J, Sampol E, Secq V, Perigaud C, Roussel J, Senage T, Mugniot A, Danner I, Haloun A, Abbes S, Bry C, Blanc F, Lepoivre T, Botturi‐Cavaillès K, Loy J, Bernard M, Godard E, Royer P, Henrio K, Dartevelle P, Fabre D, Fadel E, Mercier O, Stephan F, Viard P, Cerrina J, Dorfmuller P, Feuillet S, Ghigna M, Hervén P, Le Roy Ladurie F, Le Pavec J, Thomas de Montpreville V, Lamrani L, Castier Y, Mordant P, Cerceau P, Augustin P, Jean‐Baptiste S, Boudinet S, Montravers P, Dauriat G, Jébrak G, Mal H, Marceau A, Métivier A, Thabut G, Lhuillier E, Dupin C, Bunel V, Falcoz P, Massard G, Santelmo N, Ajob G, Collange O, Helms O, Hentz J, Roche A, Bakouboula B, Degot T, Dory A, Hirschi S, Ohlmann‐Caillard S, Kessler L, Schuller A, Bennedif K, Vargas S, Bonnette P, Chapelier A, Puyo P, Sage E, Bresson J, Caille V, Cerf C, Devaquet J, Dumans‐Nizard V, Felten M, Fischler M, Si Larbi A, Leguen M, Ley L, Liu N, Trebbia G, De Miranda S, Douvry B, Gonin F, Grenet D, Hamid A, Neveu H, Parquin F, Picard C, Stern M, Bouillioud F, Cahen P, Colombat M, Dautricourt C, Delahousse M, D'Urso B, Gravisse J, Guth A, Hillaire S, Honderlick P, Lequintrec M, Longchampt E, Mellot F, Scherrer A, Temagoult L, Tricot L, Vasse M, Veyrie C, Zemoura L, Dahan M, Murris M, Benahoua H, Berjaud J, Le Borgne Krams A, Crognier L, Brouchet L, Mathe O, Didier A, Krueger T, Ris H, Gonzalez M, Aubert J, Nicod L, Marsland B, Berutto T, Rochat T, Soccal P, Jolliet P, Koutsokera A, Marcucci C, Manuel O, Bernasconi E, Chollet M, Gronchi F, Courbon C, Hillinger S, Inci I, Kestenholz P, Weder W, Schuepbach R, Zalunardo M, Benden C, Buergi U, Huber L, Isenring B, Schuurmans M, Gaspert A, Holzmann D, Müller N, Schmid C, Vrugt B, Rechsteiner T, Fritz A, Maier D, Deplanche K, Koubi D, Ernst F, Paprotka T, Schmitt M, Wahl B, Boissel J, Olivera‐Botello G, Trocmé C, Toussaint B, Bourgoin‐Voillard S, Séve M, Benmerad M, Siroux V, Slama R, Auffray C, Charron D, Lefaudeux D, Pellet J. Blood CD9 + B cell, a biomarker of bronchiolitis obliterans syndrome after lung transplantation. Am J Transplant 2019; 19:3162-3175. [PMID: 31305014 DOI: 10.1111/ajt.15532] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [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: 12/03/2018] [Revised: 06/12/2019] [Accepted: 07/07/2019] [Indexed: 01/25/2023]
Abstract
Bronchiolitis obliterans syndrome is the main limitation for long-term survival after lung transplantation. Some specific B cell populations are associated with long-term graft acceptance. We aimed to monitor the B cell profile during early development of bronchiolitis obliterans syndrome after lung transplantation. The B cell longitudinal profile was analyzed in peripheral blood mononuclear cells from patients with bronchiolitis obliterans syndrome and patients who remained stable over 3 years of follow-up. CD24hi CD38hi transitional B cells were increased in stable patients only, and reached a peak 24 months after transplantation, whereas they remained unchanged in patients who developed a bronchiolitis obliterans syndrome. These CD24hi CD38hi transitional B cells specifically secrete IL-10 and express CD9. Thus, patients with a total CD9+ B cell frequency below 6.6% displayed significantly higher incidence of bronchiolitis obliterans syndrome (AUC = 0.836, PPV = 0.75, NPV = 1). These data are the first to associate IL-10-secreting CD24hi CD38hi transitional B cells expressing CD9 with better allograft outcome in lung transplant recipients. CD9-expressing B cells appear as a contributor to a favorable environment essential for the maintenance of long-term stable graft function and as a new predictive biomarker of bronchiolitis obliterans syndrome-free survival.
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Affiliation(s)
- Carole Brosseau
- Centre de Recherche en Transplantation et Immunologie, UMR 1064, INSERM, Université de Nantes, Nantes, France.,Institut de Transplantation Urologie Néphrologie (ITUN), CHU Nantes, Nantes, France.,Institut du thorax, Inserm UMR 1087, CNRS, UMR 6291, Université de Nantes, Nantes, France.,Institut du thorax, CHU de Nantes, Nantes, France
| | - Richard Danger
- Centre de Recherche en Transplantation et Immunologie, UMR 1064, INSERM, Université de Nantes, Nantes, France.,Institut de Transplantation Urologie Néphrologie (ITUN), CHU Nantes, Nantes, France
| | - Maxim Durand
- Centre de Recherche en Transplantation et Immunologie, UMR 1064, INSERM, Université de Nantes, Nantes, France.,Institut de Transplantation Urologie Néphrologie (ITUN), CHU Nantes, Nantes, France.,Faculté de Médecine, Université de Nantes, Nantes, France
| | - Eugénie Durand
- Centre de Recherche en Transplantation et Immunologie, UMR 1064, INSERM, Université de Nantes, Nantes, France.,Institut de Transplantation Urologie Néphrologie (ITUN), CHU Nantes, Nantes, France
| | - Aurore Foureau
- Institut du thorax, Inserm UMR 1087, CNRS, UMR 6291, Université de Nantes, Nantes, France.,Institut du thorax, CHU de Nantes, Nantes, France
| | - Philippe Lacoste
- Institut du thorax, Inserm UMR 1087, CNRS, UMR 6291, Université de Nantes, Nantes, France.,Institut du thorax, CHU de Nantes, Nantes, France
| | - Adrien Tissot
- Centre de Recherche en Transplantation et Immunologie, UMR 1064, INSERM, Université de Nantes, Nantes, France.,Institut de Transplantation Urologie Néphrologie (ITUN), CHU Nantes, Nantes, France.,Institut du thorax, Inserm UMR 1087, CNRS, UMR 6291, Université de Nantes, Nantes, France.,Institut du thorax, CHU de Nantes, Nantes, France.,Faculté de Médecine, Université de Nantes, Nantes, France
| | - Antoine Roux
- Hôpital Foch, Suresnes, France.,Université Versailles Saint-Quentin-en-Yvelines, UPRES EA220, Versailles, France
| | | | | | - Sacha Mussot
- Centre Chirurgical Marie Lannelongue, Service de Chirurgie Thoracique, Vasculaire et Transplantation Cardiopulmonaire, Le Plessis Robinson, France
| | | | - Olivier Brugière
- Hôpital Bichat, Service de Pneumologie et Transplantation Pulmonaire, Paris, France
| | | | | | - Johanna Claustre
- Clinique Universitaire Pneumologie, Pôle Thorax et Vaisseaux, CHU Grenoble Alpes, Université Grenoble Alpes, Inserm U1055, Grenoble, France
| | - Antoine Magnan
- Institut du thorax, Inserm UMR 1087, CNRS, UMR 6291, Université de Nantes, Nantes, France.,Institut du thorax, CHU de Nantes, Nantes, France
| | - Sophie Brouard
- Centre de Recherche en Transplantation et Immunologie, UMR 1064, INSERM, Université de Nantes, Nantes, France.,Institut de Transplantation Urologie Néphrologie (ITUN), CHU Nantes, Nantes, France.,Centre d'Investigation Clinique (CIC) Biothérapie, CHU Nantes, Nantes, France
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Visser J, de Boer P, Crama KF, van Kesteren Z, Rasch CRN, Stalpers LJA, Bel A. Dosimetric comparison of library of plans and online MRI-guided radiotherapy of cervical cancer in the presence of intrafraction anatomical changes. Radiat Oncol 2019; 14:126. [PMID: 31300000 PMCID: PMC6624982 DOI: 10.1186/s13014-019-1322-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [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: 03/19/2019] [Accepted: 06/18/2019] [Indexed: 12/05/2022] Open
Abstract
Background Online magnetic resonance imaging (MRI)-guided radiotherapy of cervical cancer has the potential to further reduce dose to organs at risk (OAR) as compared to a library of plans (LOP) approach. This study presents a dosimetric comparison of an MRI-guided strategy with a LOP strategy taking intrafraction anatomical changes into account. Methods The 14 patients included in this study were treated with chemo radiation at our institute and received weekly MRIs after informed consent. The MRI-guided strategy consisted of treatment plans created on the weekly sagittal MRI with 3 mm and 5 mm planning target volume (PTV) margin for clinical target volume (CTV) cervix-uterus (MRI_3mm and MRI_5mm). The plans for the LOP strategy were based on interpolations of CTV cervix-uterus on pretreatment full and empty bladder scans. Dose volume histogram (DVH) parameters were compared for targets and OARs as delineated on the weekly transversal MRI, which was acquired on average 10 min after the sagittal MRI. Results For the MRI_5mm strategy D98% of the high-risk CTV was at least 95% for all weekly MRIs of all patients, while for the LOP and MRI_3mm strategy this requirement was not satisfied for at least one weekly MRI for 1 and 3 patients, respectively. The average reduction of the volume of the reference dose (95% of the prescribed dose) as compared to the LOP strategy was 464 cm3 for the MRI_3mm strategy, and 422 cm3 for the MRI_5mm strategy. The bowel bag constraint V40Gy < 350 cm3 was violated for 13 patients for the LOP strategy and for 5 patients for both MRI_3mm and MRI_5mm strategy. Conclusions With online MRI-guided radiotherapy of cervical cancer considerable sparing of OARs can be achieved. If a new treatment plan can be generated and delivered within 10 min, an online MRI-guided strategy with a 5 mm PTV margin for CTV cervix-uterus is sufficient to account for intrafraction anatomical changes. Trial registration NL44492.018.13. Electronic supplementary material The online version of this article (10.1186/s13014-019-1322-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- J Visser
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, the Netherlands.
| | - P de Boer
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, the Netherlands.,Present Address: Radiotherapeutisch Instituut Friesland, Borniastraat 36, Leeuwarden, the Netherlands
| | - K F Crama
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, the Netherlands
| | - Z van Kesteren
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, the Netherlands
| | - C R N Rasch
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, the Netherlands.,Present Address: Department of Radiation Oncology, Leiden University Medical Center, University of Leiden, Albinusdreef 2, Leiden, The Netherlands
| | - L J A Stalpers
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, the Netherlands
| | - A Bel
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, the Netherlands
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van Kesteren Z, van der Horst A, Gurney-Champion OJ, Bones I, Tekelenburg D, Alderliesten T, van Tienhoven G, Klaassen R, van Laarhoven HWM, Bel A. A novel amplitude binning strategy to handle irregular breathing during 4DMRI acquisition: improved imaging for radiotherapy purposes. Radiat Oncol 2019; 14:80. [PMID: 31088490 PMCID: PMC6518684 DOI: 10.1186/s13014-019-1279-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [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: 10/02/2018] [Accepted: 04/22/2019] [Indexed: 11/25/2022] Open
Abstract
Background For radiotherapy of abdominal cancer, four-dimensional magnetic resonance imaging (4DMRI) is desirable for tumor definition and the assessment of tumor and organ motion. However, irregular breathing gives rise to image artifacts. We developed a outlier rejection strategy resulting in a 4DMRI with reduced image artifacts in the presence of irregular breathing. Methods We obtained 2D T2-weighted single-shot turbo spin echo images, with an interleaved 1D navigator acquisition to obtain the respiratory signal during free breathing imaging in 2 patients and 12 healthy volunteers. Prior to binning, upper and lower inclusion thresholds were chosen such that 95% of the acquired images were included, while minimizing the distance between the thresholds (inclusion range (IR)). We compared our strategy (Min95) with three commonly applied strategies: phase binning with all images included (Phase), amplitude binning with all images included (MaxIE), and amplitude binning with the thresholds set as the mean end-inhale and mean end-exhale diaphragm positions (MeanIE). We compared 4DMRI quality based on:Data included (DI); percentage of images remaining after outlier rejection. Reconstruction completeness (RC); percentage of bin-slice combinations containing at least one image after binning. Intra-bin variation (IBV); interquartile range of the diaphragm position within the bin-slice combination, averaged over three central slices and ten respiratory bins. IR. Image smoothness (S); quantified by fitting a parabola to the diaphragm profile in a sagittal plane of the reconstructed 4DMRI.
A two-sided Wilcoxon’s signed-rank test was used to test for significance in differences between the Min95 strategy and the Phase, MaxIE, and MeanIE strategies. Results Based on the fourteen subjects, the Min95 binning strategy outperformed the other strategies with a mean RC of 95.5%, mean IBV of 1.6 mm, mean IR of 15.1 mm and a mean S of 0.90. The Phase strategy showed a poor mean IBV of 6.2 mm and the MaxIE strategy showed a poor mean RC of 85.6%, resulting in image artifacts (mean S of 0.76). The MeanIE strategy demonstrated a mean DI of 85.6%. Conclusions Our Min95 reconstruction strategy resulted in a 4DMRI with less artifacts and more precise diaphragm position reconstruction compared to the other strategies. Trial registration Volunteers: protocol W15_373#16.007; patients: protocol NL47713.018.14 Electronic supplementary material The online version of this article (10.1186/s13014-019-1279-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Z van Kesteren
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands.
| | - A van der Horst
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
| | - O J Gurney-Champion
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands.,Joint Department of Physics, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, UK, SM2 5NG, UK
| | - I Bones
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
| | - D Tekelenburg
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
| | - T Alderliesten
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
| | - G van Tienhoven
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
| | - R Klaassen
- Department of Medical Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
| | - H W M van Laarhoven
- Department of Medical Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
| | - A Bel
- Department of Radiation Oncology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands
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Van der Meer M, Bosman P, Pieters B, Niatsetski Y, Alderliesten T, Bel A. OC-0396 Robust HDR prostate brachytherapy planning accounting for organ reconstruction settings. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)30816-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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41
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Slooten E, Van Wieringen N, De Jong R, Balgobind B, Huijskens S, Windmeijer C, Van Dijk I, Bel A. EP-1991 PTV margin evaluation for pediatric craniospinal irradiation with 3D and 2D position verification. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)32411-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Visser J, De Boer P, Crama K, Van Kesteren Z, Rasch C, Stalpers L, Bel A. PO-0980 Dosimetric comparison of library of plans and online MRI-guided radiotherapy of cervical cancer. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)31400-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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43
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De Jong R, Visser J, Van Wieringen N, Crama K, Wiersma J, Geijsen D, Bel A. OC-0303 Dosimetric benefit of a clinically applied adaptive plan selection strategy for rectal cancer. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)30723-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Bleeker M, Goudschaal K, Bel A, Sonke J, Hulshof M, Van der Horst A. PO-0988 CBCT-based library of plans approach in gastric cancer radiotherapy: proof of concept. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)31408-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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45
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Windmeijer C, Bel A, De Jong R, Balgobind B, Collaboration G, Rasch C, Van Dijk I. PO-1018 Current status of pediatric image-guided radiation therapy in Europe: An international survey. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)31438-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Hofman P, Ayache N, Barbry P, Barlaud M, Bel A, Blancou P, Checler F, Chevillard S, Cristofari G, Demory M, Esnault V, Falandry C, Gilson E, Guérin O, Glaichenhaus N, Guigay J, Ilié M, Mari B, Marquette CH, Paquis-Flucklinger V, Prate F, Saintigny P, Seitz-Polsky B, Skhiri T, Van Obberghen-Schilling E, Van Obberghen E, Yvan-Charvet L. The OncoAge Consortium: Linking Aging and Oncology from Bench to Bedside and Back Again. Cancers (Basel) 2019; 11:E250. [PMID: 30795607 PMCID: PMC6406685 DOI: 10.3390/cancers11020250] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [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: 01/28/2019] [Revised: 02/17/2019] [Accepted: 02/19/2019] [Indexed: 01/04/2023] Open
Abstract
It is generally accepted that carcinogenesis and aging are two biological processes, which are known to be associated. Notably, the frequency of certain cancers (including lung cancer), increases significantly with the age of patients and there is now a wealth of data showing that multiple mechanisms leading to malignant transformation and to aging are interconnected, defining the so-called common biology of aging and cancer. OncoAge, a consortium launched in 2015, brings together the multidisciplinary expertise of leading public hospital services and academic laboratories to foster the transfer of scientific knowledge rapidly acquired in the fields of cancer biology and aging into innovative medical practice and silver economy development. This is achieved through the development of shared technical platforms (for research on genome stability, (epi)genetics, biobanking, immunology, metabolism, and artificial intelligence), clinical research projects, clinical trials, and education. OncoAge focuses mainly on two pilot pathologies, which benefit from the expertise of several members, namely lung and head and neck cancers. This review outlines the broad strategic directions and key advances of OncoAge and summarizes some of the issues faced by this consortium, as well as the short- and long-term perspectives.
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Affiliation(s)
- Paul Hofman
- Laboratory of Clinical and Experimental Pathology/Biobank 0033-00025, CHU Nice, FHU OncoAge, Université Côte d'Azur, 06001 Nice, France.
- Inserm U1081, CNRS UMR7284, Institut de Recherche sur le Cancer et le Vieillissement (IRCAN), FHU OncoAge, Université Côte d'Azur, 06107 Nice, France.
| | - Nicholas Ayache
- Epione Team, Inria, FHU OncoAge, Université Côte d'Azur, 06902 Sophia Antipolis, France.
| | - Pascal Barbry
- CNRS UMR7275, Institut de Pharmacologie Cellulaire et Moléculaire, FHU OncoAge, Université Côte d'Azur, 06560 Valbonne, France.
| | - Michel Barlaud
- i3S Sophia Antipolis, FHU OncoAge, Université Côte d'Azur, 06560 Sophia Antipolis, France.
| | - Audrey Bel
- Centre d'Innovation et d'Usages en Santé (CIUS), FHU OncoAge, Université Côte d'Azur, 06000 Nice, France.
| | - Philippe Blancou
- CNRS UMR7275, Institut de Pharmacologie Cellulaire et Moléculaire, FHU OncoAge, Université Côte d'Azur, 06560 Valbonne, France.
| | - Frédéric Checler
- CNRS UMR7275, Institut de Pharmacologie Cellulaire et Moléculaire, FHU OncoAge, Université Côte d'Azur, 06560 Valbonne, France.
| | - Sylvie Chevillard
- Laboratoire de Cancérologie Expérimentale, Institut François Jacob, CEA Direction de la Recherche Fondamentale, FHU OncoAge, Université Côte d'Azur, 92265 Fontenay-aux-Roses, France.
| | - Gael Cristofari
- Inserm U1081, CNRS UMR7284, Institut de Recherche sur le Cancer et le Vieillissement (IRCAN), FHU OncoAge, Université Côte d'Azur, 06107 Nice, France.
| | - Mathilde Demory
- Ville de Nice, Mairie de Nice, FHU OncoAge, Université Côte d'Azur, 06364 Nice, France.
| | - Vincent Esnault
- Nephrology Department, CHU Nice, FHU OncoAge, Université Côte d'Azur, 06001 Nice, France.
| | - Claire Falandry
- Geriatric Unit, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, FHU OncoAge, Université Claude Bernard Lyon 1, 69310 Pierre-Benite, France.
- Laboratoire CarMeN, Inserm U1060, INRA U139, INSA Lyon, Ecole de Médecine Charles Mérieux, Université Claude Bernard Lyon 1, 69921 Oullins, France.
| | - Eric Gilson
- Inserm U1081, CNRS UMR7284, Institut de Recherche sur le Cancer et le Vieillissement (IRCAN), FHU OncoAge, Université Côte d'Azur, 06107 Nice, France.
| | - Olivier Guérin
- Geriatric Coordination Unit for Geriatric Oncology (UCOG) PACA Est, CHU Nice, FHU OncoAge, Université Côte d'Azur, 06000 Nice, France.
| | - Nicolas Glaichenhaus
- CNRS UMR7275, Institut de Pharmacologie Cellulaire et Moléculaire, FHU OncoAge, Université Côte d'Azur, 06560 Valbonne, France.
| | - Joel Guigay
- Oncology Department, Centre Antoine Lacassagne, FHU OncoAge, Université Côté d'Azur, 06189 Nice, France.
| | - Marius Ilié
- Laboratory of Clinical and Experimental Pathology/Biobank 0033-00025, CHU Nice, FHU OncoAge, Université Côte d'Azur, 06001 Nice, France.
- Inserm U1081, CNRS UMR7284, Institut de Recherche sur le Cancer et le Vieillissement (IRCAN), FHU OncoAge, Université Côte d'Azur, 06107 Nice, France.
| | - Bernard Mari
- CNRS UMR7275, Institut de Pharmacologie Cellulaire et Moléculaire, FHU OncoAge, Université Côte d'Azur, 06560 Valbonne, France.
| | - Charles-Hugo Marquette
- Department of Pulmonary Medicine and Oncology, CHU Nice, FHU OncoAge, Université Côte d'Azur, 06000 Nice, France.
| | - Véronique Paquis-Flucklinger
- Inserm U1081, CNRS UMR7284, Institut de Recherche sur le Cancer et le Vieillissement (IRCAN), FHU OncoAge, Université Côte d'Azur, 06107 Nice, France.
| | - Frédéric Prate
- Geriatric Coordination Unit for Geriatric Oncology (UCOG) PACA Est, CHU Nice, FHU OncoAge, Université Côte d'Azur, 06000 Nice, France.
| | - Pierre Saintigny
- Département de Médecine, INSERM 1052, CNRS 5286, Centre de recherche en cancérologie de Lyon, Centre Léon Bérard, FHU OncoAge, Université Claude Bernard Lyon 1, 69008 Lyon, France.
| | - Barbara Seitz-Polsky
- CNRS UMR7275, Institut de Pharmacologie Cellulaire et Moléculaire, FHU OncoAge, Université Côte d'Azur, 06560 Valbonne, France.
- Laboratory of Immunology, CHU Nice, FHU OncoAge, Université Côte d'Azur, 06200 Nice, France.
| | - Taycir Skhiri
- Centre d'Innovation et d'Usages en Santé (CIUS), FHU OncoAge, Université Côte d'Azur, 06000 Nice, France.
| | | | | | - Laurent Yvan-Charvet
- Inserm U1065, Centre Méditerranéen de Médecine Moléculaire (C3M), FHU OncoAge, Université Côte d'Azur, 06200 Nice, France.
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Kemal Y, Kemal O, Kefeli M, Gün S, Bel A, Sahin N, Atmaca S, Koyuncu M, Yucel I. Human Papillomavirus in Laryngeal Cancer in Northern Region of Turkey. J Glob Oncol 2018. [DOI: 10.1200/jgo.18.94900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Background and context: Human papilloma virus (HPV) has recently emerged as a new important etiological factor in the development of head and neck squamous cell carcinoma (HNSCC). The association of HPV in laryngeal squamous cell carcinoma (LSCC) is investigated in several studies but controversial results are established. Aim: This retrospective study aimed to evaluate the HPV DNA positivity in LSCC patients diagnosed and treated in 2 otorhinolaryngology referral center in northern region of Turkey. Strategy/Tactics: 52 formalin-fixed, paraffin-embedded (FFPE) tissue blocks of laryngeal cancers, diagnosed and treated between 2010 and 2016, were included. Detection and genotyping of HPV genotypes were done using a polymerase chain reaction (PCR) protocol. Program/Policy process: The study was planned as a retrospective investigation of laryngeal squamous cell cancer patients who had been diagnosed and treated in Samsun 19 Mayis University Hospital and Samsun Training and Research Hospital - otorhinolaryngology referral centers - between January 2010 and December 2016. Samsun is in the middle part of northern Turkey and stated as an oncology center in this region. Approval for the study was granted by the 19 Mayıs University Ethics Committee. The clinical characteristics of the patients were obtained from the computerized database. LSCC tissue samples fixed using 10% neutral buffered formalin and embedded blocks were used. Outcomes: PCR amplification was successful in 40 of 52 patients. Among the 40 LSCC samples HPV DNA was detected in 1 patient (2.5%). HPV 16 subtype was detected in this male patient aged 70 years, with a smoking history and stage III laryngeal cancer. After surgery, the patient received adjuvant radiotherapy and was still alive at 48 months without relapse. What was learned: In northern region of Turkey, this is the first study that evaluated HPV positivity in LSCC. Our results may suggest that HPV-related LSCC has not yet emerged as a significant health burden in our region. This finding may be due to the genetic, cultural or religious characteristics of our patients that are not conducive to oral HPV transmission. Unfortunately tobacco smoking is still the main reason for HNSCC in our city. There is a need for a nationwide screening study to investigate HPV prevalence variability among different regions in Turkey.
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Affiliation(s)
- Y. Kemal
- Samsun Training and Research Hospital, Medical Oncology, Samsun, Turkey
| | - O. Kemal
- 19 Mayis University Hospital, Samsun, Turkey
| | - M. Kefeli
- 19 Mayis University Hospital, Samsun, Turkey
| | - S. Gün
- 19 Mayis University Hospital, Samsun, Turkey
| | - A. Bel
- 19 Mayis University Hospital, Samsun, Turkey
| | - N. Sahin
- Samsun Training and Research Hospital, Samsun, Turkey
| | - S. Atmaca
- 19 Mayis University Hospital, Samsun, Turkey
| | - M. Koyuncu
- 19 Mayis University Hospital, Samsun, Turkey
| | - I. Yucel
- 19 Mayis University Hospital, Samsun, Turkey
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van Leeuwen CM, Oei AL, Crezee J, Bel A, Franken NAP, Stalpers LJA, Kok HP. The alfa and beta of tumours: a review of parameters of the linear-quadratic model, derived from clinical radiotherapy studies. Radiat Oncol 2018. [PMID: 29769103 DOI: 10.1186/s13014a018-1040-z] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/06/2023] Open
Abstract
BACKGROUND Prediction of radiobiological response is a major challenge in radiotherapy. Of several radiobiological models, the linear-quadratic (LQ) model has been best validated by experimental and clinical data. Clinically, the LQ model is mainly used to estimate equivalent radiotherapy schedules (e.g. calculate the equivalent dose in 2 Gy fractions, EQD2), but increasingly also to predict tumour control probability (TCP) and normal tissue complication probability (NTCP) using logistic models. The selection of accurate LQ parameters α, β and α/β is pivotal for a reliable estimate of radiation response. The aim of this review is to provide an overview of published values for the LQ parameters of human tumours as a guideline for radiation oncologists and radiation researchers to select appropriate radiobiological parameter values for LQ modelling in clinical radiotherapy. METHODS AND MATERIALS We performed a systematic literature search and found sixty-four clinical studies reporting α, β and α/β for tumours. Tumour site, histology, stage, number of patients, type of LQ model, radiation type, TCP model, clinical endpoint and radiobiological parameter estimates were extracted. Next, we stratified by tumour site and by tumour histology. Study heterogeneity was expressed by the I2 statistic, i.e. the percentage of variance in reported values not explained by chance. RESULTS A large heterogeneity in LQ parameters was found within and between studies (I2 > 75%). For the same tumour site, differences in histology partially explain differences in the LQ parameters: epithelial tumours have higher α/β values than adenocarcinomas. For tumour sites with different histologies, such as in oesophageal cancer, the α/β estimates correlate well with histology. However, many other factors contribute to the study heterogeneity of LQ parameters, e.g. tumour stage, type of LQ model, TCP model and clinical endpoint (i.e. survival, tumour control and biochemical control). CONCLUSIONS The value of LQ parameters for tumours as published in clinical radiotherapy studies depends on many clinical and methodological factors. Therefore, for clinical use of the LQ model, LQ parameters for tumour should be selected carefully, based on tumour site, histology and the applied LQ model. To account for uncertainties in LQ parameter estimates, exploring a range of values is recommended.
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Affiliation(s)
- C M van Leeuwen
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105, Amsterdam, AZ, The Netherlands
| | - A L Oei
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105, Amsterdam, AZ, The Netherlands
- Laboratory for Experimental Oncology and Radiobiology (LEXOR)/Center for Experimental Molecular Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - J Crezee
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105, Amsterdam, AZ, The Netherlands
| | - A Bel
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105, Amsterdam, AZ, The Netherlands
| | - N A P Franken
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105, Amsterdam, AZ, The Netherlands
- Laboratory for Experimental Oncology and Radiobiology (LEXOR)/Center for Experimental Molecular Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - L J A Stalpers
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105, Amsterdam, AZ, The Netherlands
| | - H P Kok
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105, Amsterdam, AZ, The Netherlands.
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van Leeuwen CM, Oei AL, Crezee J, Bel A, Franken NAP, Stalpers LJA, Kok HP. The alfa and beta of tumours: a review of parameters of the linear-quadratic model, derived from clinical radiotherapy studies. Radiat Oncol 2018; 13:96. [PMID: 29769103 PMCID: PMC5956964 DOI: 10.1186/s13014-018-1040-z] [Citation(s) in RCA: 253] [Impact Index Per Article: 42.2] [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: 02/06/2018] [Accepted: 04/30/2018] [Indexed: 12/16/2022] Open
Abstract
Background Prediction of radiobiological response is a major challenge in radiotherapy. Of several radiobiological models, the linear-quadratic (LQ) model has been best validated by experimental and clinical data. Clinically, the LQ model is mainly used to estimate equivalent radiotherapy schedules (e.g. calculate the equivalent dose in 2 Gy fractions, EQD2), but increasingly also to predict tumour control probability (TCP) and normal tissue complication probability (NTCP) using logistic models. The selection of accurate LQ parameters α, β and α/β is pivotal for a reliable estimate of radiation response. The aim of this review is to provide an overview of published values for the LQ parameters of human tumours as a guideline for radiation oncologists and radiation researchers to select appropriate radiobiological parameter values for LQ modelling in clinical radiotherapy. Methods and materials We performed a systematic literature search and found sixty-four clinical studies reporting α, β and α/β for tumours. Tumour site, histology, stage, number of patients, type of LQ model, radiation type, TCP model, clinical endpoint and radiobiological parameter estimates were extracted. Next, we stratified by tumour site and by tumour histology. Study heterogeneity was expressed by the I2 statistic, i.e. the percentage of variance in reported values not explained by chance. Results A large heterogeneity in LQ parameters was found within and between studies (I2 > 75%). For the same tumour site, differences in histology partially explain differences in the LQ parameters: epithelial tumours have higher α/β values than adenocarcinomas. For tumour sites with different histologies, such as in oesophageal cancer, the α/β estimates correlate well with histology. However, many other factors contribute to the study heterogeneity of LQ parameters, e.g. tumour stage, type of LQ model, TCP model and clinical endpoint (i.e. survival, tumour control and biochemical control). Conclusions The value of LQ parameters for tumours as published in clinical radiotherapy studies depends on many clinical and methodological factors. Therefore, for clinical use of the LQ model, LQ parameters for tumour should be selected carefully, based on tumour site, histology and the applied LQ model. To account for uncertainties in LQ parameter estimates, exploring a range of values is recommended. Electronic supplementary material The online version of this article (10.1186/s13014-018-1040-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- C M van Leeuwen
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105, Amsterdam, AZ, The Netherlands
| | - A L Oei
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105, Amsterdam, AZ, The Netherlands.,Laboratory for Experimental Oncology and Radiobiology (LEXOR)/Center for Experimental Molecular Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - J Crezee
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105, Amsterdam, AZ, The Netherlands
| | - A Bel
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105, Amsterdam, AZ, The Netherlands
| | - N A P Franken
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105, Amsterdam, AZ, The Netherlands.,Laboratory for Experimental Oncology and Radiobiology (LEXOR)/Center for Experimental Molecular Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - L J A Stalpers
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105, Amsterdam, AZ, The Netherlands
| | - H P Kok
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105, Amsterdam, AZ, The Netherlands.
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van Leeuwen CM, Crezee J, Oei AL, Franken NAP, Stalpers LJA, Bel A, Kok HP. The effect of time interval between radiotherapy and hyperthermia on planned equivalent radiation dose. Int J Hyperthermia 2018; 34:901-909. [PMID: 29749270 DOI: 10.1080/02656736.2018.1468930] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
PURPOSE Thermoradiotherapy is an effective treatment for locally advanced cervical cancer. However, the optimal time interval between radiotherapy and hyperthermia, resulting in the highest therapeutic gain, remains unclear. This study aims to evaluate the effect of time interval on the therapeutic gain using biological treatment planning. METHODS Radiotherapy and hyperthermia treatment plans were created for 15 cervical cancer patients. Biological modeling was used to calculate the equivalent radiation dose, that is, the radiation dose that results in the same biological effect as the thermoradiotherapy treatment, for different time intervals ranging from 0-4 h. Subsequently, the thermal enhancement ratio (TER, i.e. the ratio of the dose for the thermoradiotherapy and the radiotherapy-only plan) was calculated for the gross tumor volume (GTV) and the organs at risk (OARs: bladder, rectum, bowel), for each time interval. Finally, the therapeutic gain factor (TGF, i.e. TERGTV/TEROAR) was calculated for each OAR. RESULTS The median TERGTV ranged from 1.05 to 1.16 for 4 h and 0 h time interval, respectively. Similarly, for bladder, rectum and bowel, TEROARs ranged from 1-1.03, 1-1.04 and 1-1.03, respectively. Radiosensitization in the OARs was much less than in the GTV, because temperatures were lower, fractionation sensitivity was higher (lower α/β) and direct cytotoxicity was assumed negligible in normal tissue. TGFs for the three OARs were similar, and were highest (around 1.12) at 0 h time interval. CONCLUSION This planning study indicates that the largest therapeutic gain for thermoradiotherapy in cervical cancer patients can be obtained when hyperthermia is delivered immediately before or after radiotherapy.
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Affiliation(s)
- C M van Leeuwen
- a Department of Radiation Oncology , Academic Medical Center, University of Amsterdam , Amsterdam , the Netherlands
| | - J Crezee
- a Department of Radiation Oncology , Academic Medical Center, University of Amsterdam , Amsterdam , the Netherlands
| | - A L Oei
- a Department of Radiation Oncology , Academic Medical Center, University of Amsterdam , Amsterdam , the Netherlands.,b Laboratory for Experimental Oncology and Radiobiology (LEXOR)/Center for Experimental Molecular Medicine , Academic Medical Center, University of Amsterdam , Amsterdam , the Netherlands
| | - N A P Franken
- a Department of Radiation Oncology , Academic Medical Center, University of Amsterdam , Amsterdam , the Netherlands.,b Laboratory for Experimental Oncology and Radiobiology (LEXOR)/Center for Experimental Molecular Medicine , Academic Medical Center, University of Amsterdam , Amsterdam , the Netherlands
| | - L J A Stalpers
- a Department of Radiation Oncology , Academic Medical Center, University of Amsterdam , Amsterdam , the Netherlands
| | - A Bel
- a Department of Radiation Oncology , Academic Medical Center, University of Amsterdam , Amsterdam , the Netherlands
| | - H P Kok
- a Department of Radiation Oncology , Academic Medical Center, University of Amsterdam , Amsterdam , the Netherlands
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