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Bassiri N, Bayouth J, Chuong MD, Kotecha R, Weiss Y, Mehta MP, Gutierrez AN, Mittauer KE. Quality assurance of an established online adaptive radiotherapy program: patch and software upgrade. Front Oncol 2024; 14:1358487. [PMID: 38863634 PMCID: PMC11165228 DOI: 10.3389/fonc.2024.1358487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 05/07/2024] [Indexed: 06/13/2024] Open
Abstract
Introduction The ability to dynamically adjust target contours, derived Boolean structures, and ultimately, the optimized fluence is the end goal of online adaptive radiotherapy (ART). The purpose of this work is to describe the necessary tests to perform after a software patch installation and/or upgrade for an established online ART program. Methods A patch upgrade on a low-field MR Linac system was evaluated for post-software upgrade quality assurance (QA) with current infrastructure of ART workflow on (1) the treatment planning system (TPS) during the initial planning stage and (2) the treatment delivery system (TDS), which is a TPS integrated into the delivery console for online ART planning. Online ART QA procedures recommended for post-software upgrade include: (1) user interface (UI) configuration; (2) TPS beam model consistency; (3) segmentation consistency; (4) dose calculation consistency; (5) optimizer robustness consistency; (6) CT density table consistency; and (7) end-to-end absolute ART dose and predicted dose measured including interruption testing. Differences of calculated doses were evaluated through DVH and/or 3D gamma comparisons. The measured dose was assessed using an MR-compatible A26 ionization chamber in a motion phantom. Segmentation differences were assessed through absolute volume and visual inspection. Results (1) No UI configuration discrepancies were observed. (2) Dose differences on TPS pre-/post-software upgrade were within 1% for DVH metrics. (3) Differences in segmentation when observed were small in general, with the largest change noted for small-volume regions of interest (ROIs) due to partial volume impact. (4) Agreement between TPS and TDS calculated doses was 99.9% using a 2%/2-mm gamma criteria. (5) Comparison between TPS and online ART plans for a given patient plan showed agreement within 2% for targets and 0.6 cc for organs at risk. (6) Relative electron densities demonstrated comparable agreement between TPS and TDS. (7) ART absolute and predicted measured end-to-end doses were within 1% of calculated TDS. Discussion An online ART QA program for post-software upgrade has been developed and implemented on an MR Linac system. Testing mechanics and their respective baselines may vary across institutions, but all necessary components for a post-software upgrade QA have been outlined and detailed. These outlined tests were demonstrated feasible for a low-field MR Linac system; however, the scope of this work may be applied and adapted more broadly to other online ART platforms.
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Affiliation(s)
- Nema Bassiri
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, United States
- Herbert Wertheim College of Medicine, Florida International University, Miami, FL, United States
| | - John Bayouth
- Department of Radiation Medicine, Oregon Health and Science University, Portland, OR, United States
| | - Michael D. Chuong
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, United States
- Herbert Wertheim College of Medicine, Florida International University, Miami, FL, United States
| | - Rupesh Kotecha
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, United States
- Herbert Wertheim College of Medicine, Florida International University, Miami, FL, United States
| | - Yonatan Weiss
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, United States
- Herbert Wertheim College of Medicine, Florida International University, Miami, FL, United States
| | - Minesh P. Mehta
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, United States
- Herbert Wertheim College of Medicine, Florida International University, Miami, FL, United States
| | - Alonso N. Gutierrez
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, United States
- Herbert Wertheim College of Medicine, Florida International University, Miami, FL, United States
| | - Kathryn E. Mittauer
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, United States
- Herbert Wertheim College of Medicine, Florida International University, Miami, FL, United States
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Tseng CL, Zeng KL, Mellon EA, Soltys SG, Ruschin M, Lau AZ, Lutsik NS, Chan RW, Detsky J, Stewart J, Maralani PJ, Sahgal A. Evolving concepts in margin strategies and adaptive radiotherapy for glioblastoma: A new future is on the horizon. Neuro Oncol 2024; 26:S3-S16. [PMID: 38437669 PMCID: PMC10911794 DOI: 10.1093/neuonc/noad258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2024] Open
Abstract
Chemoradiotherapy is the standard treatment after maximal safe resection for glioblastoma (GBM). Despite advances in molecular profiling, surgical techniques, and neuro-imaging, there have been no major breakthroughs in radiotherapy (RT) volumes in decades. Although the majority of recurrences occur within the original gross tumor volume (GTV), treatment of a clinical target volume (CTV) ranging from 1.5 to 3.0 cm beyond the GTV remains the standard of care. Over the past 15 years, the incorporation of standard and functional MRI sequences into the treatment workflow has become a routine practice with increasing adoption of MR simulators, and new integrated MR-Linac technologies allowing for daily pre-, intra- and post-treatment MR imaging. There is now unprecedented ability to understand the tumor dynamics and biology of GBM during RT, and safe CTV margin reduction is being investigated with the goal of improving the therapeutic ratio. The purpose of this review is to discuss margin strategies and the potential for adaptive RT for GBM, with a focus on the challenges and opportunities associated with both online and offline adaptive workflows. Lastly, opportunities to biologically guide adaptive RT using non-invasive imaging biomarkers and the potential to define appropriate volumes for dose modification will be discussed.
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Affiliation(s)
- Chia-Lin Tseng
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - K Liang Zeng
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
- Department of Radiation Oncology, Simcoe Muskoka Regional Cancer Program, Royal Victoria Regional Health Centre, University of Toronto, Toronto, Ontario, Canada
| | - Eric A Mellon
- Department of Radiation Oncology, Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, Florida, USA
| | - Scott G Soltys
- Department of Radiation Oncology, Stanford University, Stanford, California, USA
| | - Mark Ruschin
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Angus Z Lau
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Natalia S Lutsik
- Department of Radiation Oncology, Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, Florida, USA
| | - Rachel W Chan
- Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Jay Detsky
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - James Stewart
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Pejman J Maralani
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
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Yau T, Kempe J, Gaede S. A four-dimensional dynamic conformal arc approach for real-time tumor tracking: A retrospective treatment planning study. J Appl Clin Med Phys 2024; 25:e14224. [PMID: 38146134 DOI: 10.1002/acm2.14224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 10/10/2023] [Accepted: 11/15/2023] [Indexed: 12/27/2023] Open
Abstract
PURPOSE For many thoracic tumors, patient respiration can introduce a significant amount of variability in tumor position that must be accounted for during radiotherapy. Of all existing techniques, real-time dynamic tumor tracking (DTT) represents the most ideal motion management strategy but can be limited by the treatment delivery technique. Our objective was to analyze the dosimetric performance of a dynamic conformal arc (DCA) approach to tumor tracking on standard linear accelerators that may offer similar dosimetric benefit, but with less complexity compared to intensity-modulated radiation therapy (IMRT) or volumetric modulated arc therapy (VMAT). METHODS Ten patients who previously received free-breathing VMAT for lung cancer were retrospectively analyzed. Patient 4D-CT and respiratory traces were simultaneously acquired prior to treatment and re-planned with DCA and VMAT using the Eclipse v15.6 Treatment Planning System with gated, deep inspiration breath hold (DIBH), and motion encompassment techniques taken into consideration, generating seven new plans per patient. DTT with DCA was simulated using an in-house MATLAB script to parse the radiation dose into each phase of the 4D-CT based on the patient's respiratory trace. Dose distributions were normalized to the same prescription and analyzed using dose volume histograms (DVHs). DVH metrics were assessed using ANOVA with subsequent paired t-tests. RESULTS The DCA-based DTT plans outperformed or showed comparable performance in their DVH metrics compared to all other combinations of treatment techniques while using motion management in normal lung sparing (p < 0.05). Normal lung sparing was not significantly different when comparing DCA-based DTT to gated and DIBH VMAT (p > 0.05), while both outperformed the corresponding DCA plans (p < 0.05). Simulated treatment times using DCA-based DTT were significantly shorter than both gating and DIBH plans (p < 0.05). CONCLUSIONS A DCA-based DTT technique showed significant advantages over conventional motion encompassment treatments in lung cancer radiotherapy, with comparable performance to stricter techniques like gating and DIBH while conferring greater time-saving benefits.
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Affiliation(s)
- Timothy Yau
- Department of Medical Biophysics, University of Western Ontario, London, Canada
- London Health Sciences Centre, London, Canada
| | - Jeff Kempe
- London Health Sciences Centre, London, Canada
| | - Stewart Gaede
- Department of Medical Biophysics, University of Western Ontario, London, Canada
- London Health Sciences Centre, London, Canada
- Lawson Health Research Institute, London, Canada
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Mittauer KE, Tolakanahalli R, Kotecha R, Chuong MD, Mehta MP, Gutierrez AN, Bassiri N. Commissioning Intracranial Stereotactic Radiosurgery for a Magnetic Resonance-Guided Radiation Therapy (MRgRT) System: MR-RT Localization and Dosimetric End-to-End Validation. Int J Radiat Oncol Biol Phys 2024; 118:512-524. [PMID: 37793574 DOI: 10.1016/j.ijrobp.2023.08.043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 08/04/2023] [Accepted: 08/13/2023] [Indexed: 10/06/2023]
Abstract
PURPOSE This is the first reporting of the MRIdian A3iTM intracranial package (BrainTxTM) and benchmarks the end-to-end localization and dosimetric accuracy for commissioning an magnetic resonace (MR)-guided stereotactic radiosurgery program. We characterized the localization accuracy between MR and radiation (RT) isocenter through an end-to-end hidden target test, relative dose profile intercomparison, and absolute dose validation. METHODS AND MATERIALS BrainTx consists of a dedicated head coil, integrated mask immobilization system, and high-resolution MR sequences. Coil and baseplate attenuation was quantified. An in-house phantom (Cranial phantOm foR magNetic rEsonance Localization of a stereotactIc radiosUrgery doSimeter, CORNELIUS) was developed from a mannequin head filled with silicone gel, film, and MR BB with pinprick. A hidden target test evaluated MR-RT localization of the 1×1×1 mm3 TrueFISP MR and relative dose accuracy in film for a 1 cm diameter (International Electrotechnical Commission (IEC)-X/IEC-Y) and 1.5 cm diameter (IEC-Y/IEC-Z) spherical target. Two clinical cases (irregular-shaped target and target abutting brainstem) were mapped to the CORNELIUS phantom for feasibility assessment. A 2-dimensional (2D)-gamma compared calculated and measured dose for spherical and clinical targets with 1 mm/1% and 2 mm/2% criteria, respectively. A small-field chamber (A26MR) measured end-to-end absolute dose for a 1 cm diameter target. RESULTS Coil and baseplate attenuation were 0.7% and 2.7%, respectively. The displacement of MR to RT localization as defined through the pinprick was 0.49 mm (IEC-X), 0.27 mm (IEC-Y), and 0.51 mm (IEC-Z) (root mean square 0.76 mm). The reproducibility across IEC-Y demonstrated high fidelity (<0.02 mm). Gamma pass rates were 97.1% and 95.4% for 1 cm and 1.5 cm targets, respectively. Dose profiles for an irregular-shaped target and abutting organ-at-risk-target demonstrated pass rates of 99.0% and 92.9%, respectively. The absolute end-to-end dose difference was <1%. CONCLUSIONS All localization and dosimetric evaluation demonstrated submillimeter accuracy, per the TG-142, TG-101, MPPG 9.a. criteria for SRS/SRT systems, indicating acceptable delivery capabilities with a 1 mm setup margin.
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Affiliation(s)
- Kathryn E Mittauer
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida; Herbert Wertheim College of Medicine, Florida International University, Miami, Florida.
| | - Ranjini Tolakanahalli
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida; Herbert Wertheim College of Medicine, Florida International University, Miami, Florida
| | - Rupesh Kotecha
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida; Herbert Wertheim College of Medicine, Florida International University, Miami, Florida
| | - Michael D Chuong
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida; Herbert Wertheim College of Medicine, Florida International University, Miami, Florida
| | - Minesh P Mehta
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida; Herbert Wertheim College of Medicine, Florida International University, Miami, Florida
| | - Alonso N Gutierrez
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida; Herbert Wertheim College of Medicine, Florida International University, Miami, Florida
| | - Nema Bassiri
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida; Herbert Wertheim College of Medicine, Florida International University, Miami, Florida
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La Rosa A, Mittauer KE, Bassiri N, Rzepczynski AE, Chuong MD, Yarlagadda S, Kutuk T, McAllister NC, Hall MD, Gutierrez AN, Tolakanahalli R, Mehta MP, Kotecha R. Accelerated Hypofractionated Magnetic Resonance Guided Adaptive Radiation Therapy for Ultracentral Lung Tumors. Tomography 2024; 10:169-180. [PMID: 38250959 PMCID: PMC10820032 DOI: 10.3390/tomography10010013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 01/04/2024] [Accepted: 01/10/2024] [Indexed: 01/23/2024] Open
Abstract
Radiotherapy for ultracentral lung tumors represents a treatment challenge, considering the high rates of high-grade treatment-related toxicities with stereotactic body radiation therapy (SBRT) or hypofractionated schedules. Accelerated hypofractionated magnetic resonance-guided adaptive radiation therapy (MRgART) emerged as a potential game-changer for tumors in these challenging locations, in close proximity to central organs at risk, such as the trachea, proximal bronchial tree, and esophagus. In this series, 13 consecutive patients, predominantly male (n = 9), with a median age of 71 (range (R): 46-85), underwent 195 MRgART fractions (all 60 Gy in 15 fractions) to metastatic (n = 12) or primary ultra-central lung tumors (n = 1). The median gross tumor volumes (GTVs) and planning target volumes (PTVs) were 20.72 cc (R: 0.54-121.65 cc) and 61.53 cc (R: 3.87-211.81 cc), respectively. The median beam-on time per fraction was 14 min. Adapted treatment plans were generated for all fractions, and indications included GTV/PTV undercoverage, OARs exceeding tolerance doses, or both indications in 46%, 18%, and 36% of fractions, respectively. Eight patients received concurrent systemic therapies, including immunotherapy (four), chemotherapy (two), and targeted therapy (two). The crude in-field loco-regional control rate was 92.3%. No CTCAE grade 3+ toxicities were observed. Our results offer promising insights, suggesting that MRgART has the potential to mitigate toxicities, enhance treatment precision, and improve overall patient care in the context of ultracentral lung tumors.
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Affiliation(s)
- Alonso La Rosa
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; (K.E.M.); (N.B.); (A.E.R.); (M.D.C.); (S.Y.); (T.K.); (N.C.M.); (M.D.H.); (A.N.G.); (R.T.); (M.P.M.)
| | - Kathryn E. Mittauer
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; (K.E.M.); (N.B.); (A.E.R.); (M.D.C.); (S.Y.); (T.K.); (N.C.M.); (M.D.H.); (A.N.G.); (R.T.); (M.P.M.)
- Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
| | - Nema Bassiri
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; (K.E.M.); (N.B.); (A.E.R.); (M.D.C.); (S.Y.); (T.K.); (N.C.M.); (M.D.H.); (A.N.G.); (R.T.); (M.P.M.)
- Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
| | - Amy E. Rzepczynski
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; (K.E.M.); (N.B.); (A.E.R.); (M.D.C.); (S.Y.); (T.K.); (N.C.M.); (M.D.H.); (A.N.G.); (R.T.); (M.P.M.)
| | - Michael D. Chuong
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; (K.E.M.); (N.B.); (A.E.R.); (M.D.C.); (S.Y.); (T.K.); (N.C.M.); (M.D.H.); (A.N.G.); (R.T.); (M.P.M.)
- Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
| | - Sreenija Yarlagadda
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; (K.E.M.); (N.B.); (A.E.R.); (M.D.C.); (S.Y.); (T.K.); (N.C.M.); (M.D.H.); (A.N.G.); (R.T.); (M.P.M.)
| | - Tugce Kutuk
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; (K.E.M.); (N.B.); (A.E.R.); (M.D.C.); (S.Y.); (T.K.); (N.C.M.); (M.D.H.); (A.N.G.); (R.T.); (M.P.M.)
| | - Nicole C. McAllister
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; (K.E.M.); (N.B.); (A.E.R.); (M.D.C.); (S.Y.); (T.K.); (N.C.M.); (M.D.H.); (A.N.G.); (R.T.); (M.P.M.)
| | - Matthew D. Hall
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; (K.E.M.); (N.B.); (A.E.R.); (M.D.C.); (S.Y.); (T.K.); (N.C.M.); (M.D.H.); (A.N.G.); (R.T.); (M.P.M.)
- Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
| | - Alonso N. Gutierrez
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; (K.E.M.); (N.B.); (A.E.R.); (M.D.C.); (S.Y.); (T.K.); (N.C.M.); (M.D.H.); (A.N.G.); (R.T.); (M.P.M.)
- Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
| | - Ranjini Tolakanahalli
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; (K.E.M.); (N.B.); (A.E.R.); (M.D.C.); (S.Y.); (T.K.); (N.C.M.); (M.D.H.); (A.N.G.); (R.T.); (M.P.M.)
- Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
| | - Minesh P. Mehta
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; (K.E.M.); (N.B.); (A.E.R.); (M.D.C.); (S.Y.); (T.K.); (N.C.M.); (M.D.H.); (A.N.G.); (R.T.); (M.P.M.)
- Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
| | - Rupesh Kotecha
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; (K.E.M.); (N.B.); (A.E.R.); (M.D.C.); (S.Y.); (T.K.); (N.C.M.); (M.D.H.); (A.N.G.); (R.T.); (M.P.M.)
- Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
- Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
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Mittauer KE, Yarlagadda S, Bryant JM, Bassiri N, Romaguera T, Gomez AG, Herrera R, Kotecha R, Mehta MP, Gutierrez AN, Chuong MD. Online adaptive radiotherapy: Assessment of planning technique and its impact on longitudinal plan quality robustness in pancreatic cancer. Radiother Oncol 2023; 188:109869. [PMID: 37657726 DOI: 10.1016/j.radonc.2023.109869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 07/14/2023] [Accepted: 08/22/2023] [Indexed: 09/03/2023]
Abstract
BACKGROUND AND PURPOSE Planning on a static dataset that reflects the simulation day anatomy is routine for SBRT. We hypothesize the quality of on-table adaptive plans is similar to the baseline plan when delivering stereotactic MR-guided adaptive radiotherapy (SMART) for pancreatic cancer (PCa). MATERIALS AND METHODS Sixty-seven inoperable PCa patients were prescribed 50 Gy/5-fraction SMART. Baseline planning included: 3-5 mm gastrointestinal (GI) PRV, 50 Gy optimization target (PTVopt) based on GI PRV, conformality rings, and contracted GTV to guide the hotspot. For each adaptation, GI anatomy was re-contoured, followed by re-optimization. Plan quality was evaluated for target coverage (TC = PTVopt V100%/volume), PTV D90% and D80%, homogeneity index (HI = PTVopt D2%/D98%), prescription isodose/target volume (PITV), low-dose conformity (D2cm = maximum dose at 2 cm from PTVopt/Rx dose), and gradient index (R50%=50% Rx isodose volume/PTVopt volume).A novel global planning metric, termed the Pancreas Adaptive Radiotherapy Score (PARTS), was developed and implemented based on GI OAR sparing, PTV/GTV coverage, and conformality. Adaptive robustness (baseline to fraction 1) and stability (difference between two fractions with highest GI PRV variation) were quantified. RESULTS OAR constraints were met on all baseline (n = 67) and adaptive (n = 318) plans. Coverage for baseline/adaptive plans was mean ± SD at 44.9 ± 5.8 Gy/44.3 ± 5.5 Gy (PTV D80%), 50.1 ± 4.2 Gy/49.1 ± 4.7 Gy (PTVopt D80%), and 80%±18%/74%±18% (TC), respectively. Mean homogeneity and conformality for baseline/adaptive plans were 0.87 ± 0.25/0.81 ± 0.30 (PITV), 3.81 ± 1.87/3.87 ± 2.0 (R50%), 1.53 ± 0.23/1.55 ± 0.23 (HI), and 58%±7%/59%±7% (D2cm), respectively. PARTS was found to be a sensitive metric due to its additive influence of geometry changes on PARTS' sub-metrics. There were no statistical differences (p > 0.05) for stability, except for PARTS (p = 0.04, median difference -0.6%). Statistical differences for robustness when significant were small for most metrics (<2.0% median). Median adaptive re-optimizations were 2. CONCLUSION We describe a 5-fraction ablative SMART planning approach for PCa that is robust and stable during on-table adaption, due to gradients controlled by a GI PRV technique and the use of rings. These findings are noteworthy given that daily interfraction anatomic GI OAR differences are routine, thus necessitating on-table adaptation. This work supports feasibility towards utilizing a patient-independent, template on-table adaptive approach.
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Affiliation(s)
- Kathryn E Mittauer
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA.
| | - Sreenija Yarlagadda
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA.
| | - John M Bryant
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA.
| | - Nema Bassiri
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA.
| | - Tino Romaguera
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA.
| | - Andres G Gomez
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA.
| | - Robert Herrera
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA.
| | - Rupesh Kotecha
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA.
| | - Minesh P Mehta
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA.
| | - Alonso N Gutierrez
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA.
| | - Michael D Chuong
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA.
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van den Dobbelsteen M, Hackett SL, van Asselen B, Oolbekkink S, Wolthaus JW, de Vries JW, Raaymakers BW. Experimental validation of multi-fraction online adaptations in magnetic resonance guided radiotherapy. Phys Imaging Radiat Oncol 2023; 28:100507. [PMID: 38035206 PMCID: PMC10685304 DOI: 10.1016/j.phro.2023.100507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 11/01/2023] [Accepted: 11/02/2023] [Indexed: 12/02/2023] Open
Abstract
Background and purpose Radiotherapy plan verification is generally performed on the reference plan based on the pre-treatment anatomy. However, the introduction of online adaptive treatments demands a new approach, as plans are created daily on different anatomies. The aim of this study was to experimentally validate the accuracy of total doses of multi-fraction plan adaptations in magnetic resonance imaging guided radiotherapy in a phantom study, isolated from the uncertainty of deformable image registration. Materials and methods We experimentally verified the total dose, measured on external beam therapy 3 (EBT3) film, using a treatment with five online adapted fractions. Three series of experiments were performed, each focusing on a category of inter-fractional variation; translations, rotations and body modifications. Variations were introduced during each fraction and adapted plans were generated and irradiated. Single fraction doses and total doses over five online adapted fractions were investigated. Results The online adapted measurements and calculations showed a good agreement for single fractions and multi-fraction treatments for the dose profiles, gamma passing rates, dose deviations and distances to agreement. The gamma passing rate using a 2%/2 mm criterion ranged from 99.2% to 99.5% for a threshold dose of 10% of the maximum dose (Dmax) and from 96.2% to 100% for a threshold dose of 90% of Dmax, for the total translations, rotations and body modifications. Conclusions The total doses of multi-fraction treatments showed similar accuracies compared to single fraction treatments, indicating an accurate dosimetric outcome of a multi-fraction treatment in adaptive magnetic resonance imaging guided radiotherapy.
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Affiliation(s)
- Madelon van den Dobbelsteen
- Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Sara L. Hackett
- Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Bram van Asselen
- Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Stijn Oolbekkink
- Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Jochem W.H. Wolthaus
- Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - J.H. Wilfred de Vries
- Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Bas W. Raaymakers
- Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
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8
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La Rosa A, Mittauer KE, Chuong MD, Hall MD, Kutuk T, Bassiri N, McCulloch J, Alvarez D, Herrera R, Gutierrez AN, Tolakanahalli R, Mehta MP, Kotecha R. Accelerated hypofractionated magnetic resonance-guided adaptive radiotherapy for oligoprogressive non-small cell lung cancer. Med Dosim 2023; 48:238-244. [PMID: 37330328 DOI: 10.1016/j.meddos.2023.05.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 04/12/2023] [Accepted: 05/08/2023] [Indexed: 06/19/2023]
Abstract
Given the positive results from recent randomized controlled trials in patients with oligometastatic, oligoprogressive, or oligoresidual disease, the role of radiotherapy has expanded in patients with metastatic non-small cell lung cancer (NSCLC). While small metastatic lesions are commonly treated with stereotactic body radiotherapy (SBRT), treatment of the primary tumor and involved regional lymph nodes may require prolonged fractionation schedules to ensure safety especially when treating larger volumes in proximity to critical organs-at-risk (OARs). We have developed an institutional MR-guided adaptive radiotherapy (MRgRT) workflow for these patients. We present a 71-year-old patient with stage IV NSCLC with oligoprogression of the primary tumor and associated regional lymph nodes in which MR-guided, online adaptive radiotherapy was performed, prescribing 60 Gy in 15 fractions. We describe our workflow, dosimetric constraints, and daily dosimetric comparisons for the critical OARs (esophagus, trachea, and proximal bronchial tree [PBT] maximum doses [D0.03cc]), in comparison to the original treatment plan recalculated on the anatomy of the day (i.e., predicted doses). During MRgRT, few fractions met the original dosimetric objectives: 6.6% for esophagus, 6.6% for PBT, and 6.6% for trachea. Online adaptive radiotherapy reduced the cumulative doses to the structures by 11.34%, 4.2%, and 5.62% when comparing predicted plan summations to the final delivered summation. Therefore, this case study presets a workflow and treatment paradigm for accelerated hypofractionated MRgRT due to the significant variations in daily dose to the central thoracic OARs to reduce treatment-related toxicity associated with radiotherapy.
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Affiliation(s)
- Alonso La Rosa
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA.
| | - Kathryn E Mittauer
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Michael D Chuong
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Matthew D Hall
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Tugce Kutuk
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA
| | - Nema Bassiri
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA
| | - James McCulloch
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA
| | - Diane Alvarez
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA
| | - Robert Herrera
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA
| | - Alonso N Gutierrez
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Ranjini Tolakanahalli
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Minesh P Mehta
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Rupesh Kotecha
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA; Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA.
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9
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La Rosa A, Mittauer KE, Rzepczynski AE, Chuong MD, Kutuk T, Bassiri N, McAllister NC, Hall MD, McCulloch J, Alvarez D, Herrera R, Gutierrez AN, Tolakanahalli R, Odia Y, Ahluwalia MS, Mehta MP, Kotecha R. Treatment of glioblastoma using MRIdian® A3i BrainTx™: Imaging and treatment workflow demonstration. Med Dosim 2023:S0958-3947(23)00019-5. [PMID: 36966049 DOI: 10.1016/j.meddos.2023.02.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 02/09/2023] [Accepted: 02/17/2023] [Indexed: 03/27/2023]
Abstract
For patients with newly diagnosed glioblastoma, the current standard-of-care includes maximal safe resection, followed by concurrent chemoradiotherapy and adjuvant temozolomide, with tumor treating fields. Traditionally, diagnostic imaging is performed pre- and post-resection, without additional dedicated longitudinal imaging to evaluate tumor volumes or other treatment-related changes. However, the recent introduction of MR-guided radiotherapy using the ViewRay MRIdian A3i system includes a dedicated BrainTx package to facilitate the treatment of intracranial tumors and provides daily MR images. We present the first reported case of a glioblastoma imaged and treated using this workflow. In this case, a 67-year-old woman underwent adjuvant chemoradiotherapy after gross total resection of a left frontal glioblastoma. The radiotherapy treatment plan consisted of a traditional two-phase design (46 Gy followed by a sequential boost to a total dose of 60 Gy at 2 Gy/fraction). The treatment planning process, institutional workflow, treatment imaging, treatment timelines, and target volume changes visualized during treatment are presented. This case example using our institutional A3i system workflow successfully allows for imaging and treatment of primary brain tumors and has the potential for margin reduction, detection of early disease progression, or to detect the need for dose adaptation due to interfraction tumor volume changes.
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Affiliation(s)
- Alonso La Rosa
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Kathryn E Mittauer
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA; Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Amy E Rzepczynski
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Michael D Chuong
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA; Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Tugce Kutuk
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Nema Bassiri
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Nicole C McAllister
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Matthew D Hall
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA; Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - James McCulloch
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA; Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Diane Alvarez
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA; Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Roberto Herrera
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Alonso N Gutierrez
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA; Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Ranjini Tolakanahalli
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA; Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Yazmin Odia
- Department of Neuro-Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Manmeet S Ahluwalia
- Department of Medical Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Minesh P Mehta
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA; Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Rupesh Kotecha
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA; Department of Radiation Oncology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA; Department of Translational Medicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA.
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10
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Bordeau K, Michalet M, Keskes A, Valdenaire S, Debuire P, Cantaloube M, Cabaillé M, Jacot W, Draghici R, Demontoy S, Quantin X, Ychou M, Assenat E, Mazard T, Gauthier L, Dupuy M, Guiu B, Bourgier C, Aillères N, Fenoglietto P, Azria D, Riou O. Stereotactic MR-Guided Radiotherapy for Liver Metastases: First Results of the Montpellier Prospective Registry Study. J Clin Med 2023; 12:jcm12031183. [PMID: 36769831 PMCID: PMC9917771 DOI: 10.3390/jcm12031183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 01/24/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023] Open
Abstract
Liver stereotactic body radiotherapy (SBRT) is a local treatment that provides good local control and low toxicity. We present the first clinical results from our prospective registry of stereotactic MR-guided radiotherapy (MRgRT) for liver metastases. All patients treated for liver metastases were included in this prospective registry study. Stereotactic MRgRT indication was confirmed by multidisciplinary specialized tumor boards. The primary endpoints were acute and late toxicities. The secondary endpoints were survival outcomes (local control, overall survival (OS), disease-free survival, intrahepatic relapse-free survival). Twenty-six consecutive patients were treated for thirty-one liver metastases between October 2019 and April 2022. The median prescribed dose was 50 Gy (40-60) in 5 fractions. No severe acute MRgRT-related toxicity was noted. Acute and late gastrointestinal and liver toxicities were low and mostly unrelated to MRgRT. Only 5 lesions (16.1%) required daily adaptation because of the proximity of organs at risk (OAR). With a median follow-up time of 17.3 months since MRgRT completion, the median OS, 1-year OS and 2-year OS rates were 21.7 months, 83.1% (95% CI: 55.3-94.4%) and 41.6% (95% CI: 13.5-68.1%), respectively, from MRgRT completion. The local control at 6 months, 1 year and 2 years was 90.9% (95% CI: 68.3-97.7%). To our knowledge, we report the largest series of stereotactic MRgRT for liver metastases. The treatment was well-tolerated and achieved a high LC rate. Distant relapse remains a challenge in this population.
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Affiliation(s)
- Karl Bordeau
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - Morgan Michalet
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - Aïcha Keskes
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - Simon Valdenaire
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - Pierre Debuire
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - Marie Cantaloube
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - Morgane Cabaillé
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - William Jacot
- Medical Oncology Department, Montpellier Cancer Institute (ICM), University Montpellier, 34298 Montpellier, France
| | - Roxana Draghici
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - Sylvain Demontoy
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - Xavier Quantin
- Medical Oncology Department, Montpellier Cancer Institute (ICM), University Montpellier, 34298 Montpellier, France
| | - Marc Ychou
- Medical Oncology Department, Montpellier Cancer Institute (ICM), University Montpellier, 34298 Montpellier, France
| | - Eric Assenat
- Medical Oncology Department, CHU St. Eloi, 34000 Montpellier, France
| | - Thibault Mazard
- Medical Oncology Department, Montpellier Cancer Institute (ICM), University Montpellier, 34298 Montpellier, France
| | - Ludovic Gauthier
- Biometrics Unit, Montpellier Cancer Institute (ICM), University Montpellier, 34298 Montpellier, France
| | - Marie Dupuy
- Medical Oncology Department, CHU St. Eloi, 34000 Montpellier, France
| | - Boris Guiu
- Radiology Department, CHU St. Eloi, 34000 Montpellier, France
| | - Céline Bourgier
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - Norbert Aillères
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - Pascal Fenoglietto
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - David Azria
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - Olivier Riou
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
- Correspondence:
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11
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Bordeau K, Michalet M, Keskes A, Valdenaire S, Debuire P, Cantaloube M, Cabaillé M, Portales F, Draghici R, Ychou M, Assenat E, Mazard T, Samalin E, Gauthier L, Colombo PE, Carrere S, Souche FR, Aillères N, Fenoglietto P, Azria D, Riou O. Stereotactic MR-Guided Adaptive Radiotherapy for Pancreatic Tumors: Updated Results of the Montpellier Prospective Registry Study. Cancers (Basel) 2022; 15:cancers15010007. [PMID: 36612004 PMCID: PMC9817834 DOI: 10.3390/cancers15010007] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/12/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022] Open
Abstract
Introduction: Stereotactic MR-guided Adaptive RadioTherapy (SMART) is a novel process to treat pancreatic tumors. We present an update of the data from our prospective registry of SMART for pancreatic tumors. Materials and methods: After the establishment of the SMART indication in a multidisciplinary board, we included all patients treated for pancreatic tumors. Primary endpoints were acute and late toxicities. Secondary endpoints were survival outcomes (local control, overall survival, distant metastasis free survival) and dosimetric advantages of adaptive process on targets volumes and OAR. Results: We included seventy consecutive patients in our cohort between October 2019 and April 2022. The prescribed dose was 50 Gy in 5 consecutive fractions. No severe acute SMART related toxicity was noted. Acute and late Grade ≤ 2 gastro intestinal were low. Daily adaptation significantly improved PTV and GTV coverage as well as OAR sparing. With a median follow-up of 10.8 months since SMART completion, the median OS, 6-months OS, and 1-year OS were 20.9 months, 86.7% (95% CI: (75−93%), and 68.6% (95% CI: (53−80%), respectively, from SMART completion. Local control at 6 months, 1 year, and 2 years were, respectively, 96.8 % (95% CI: 88−99%), 86.5 (95% CI: 68−95%), and 80.7% (95% CI: 59−92%). There was no grade > 2 late toxicities. Locally Advanced Pancreatic Cancers (LAPC) and Borderline Resectable Pancreatic Cancers (BRPC) patients (52 patients) had a median OS, 6-months OS, and 1-year OS from SMART completion of 15.2 months, 84.4% (95% CI: (70−92%)), and 60.5% (95% CI: (42−75%)), respectively. The median OS, 1-year OS, and 2-year OS from initiation of induction chemotherapy were 22.3 months, 91% (95% CI: (78−97%)), and 45.8% (95% CI: (27−63%)), respectively. Twenty patients underwent surgical resection (38.7 % of patients with initially LAPC) with negative margins (R0). Conclusion: To our knowledge, this is the largest series of SMART for pancreatic tumors. The treatment was well tolerated with only low-grade toxicities. Long-term OS and LC rates were achieved. SMART achieved high secondary resection rates in LAPC patients.
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Affiliation(s)
- Karl Bordeau
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - Morgan Michalet
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - Aïcha Keskes
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - Simon Valdenaire
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - Pierre Debuire
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - Marie Cantaloube
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - Morgane Cabaillé
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - Fabienne Portales
- Medical Oncology Department, ICM, Montpellier Cancer Institute, University Montpellier, 34298 Montpellier, France
| | - Roxana Draghici
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - Marc Ychou
- Medical Oncology Department, ICM, Montpellier Cancer Institute, University Montpellier, 34298 Montpellier, France
| | - Eric Assenat
- Medical Oncology Department, CHU St. Eloi, 34000 Montpellier, France
| | - Thibault Mazard
- Medical Oncology Department, ICM, Montpellier Cancer Institute, University Montpellier, 34298 Montpellier, France
| | - Emmanuelle Samalin
- Medical Oncology Department, ICM, Montpellier Cancer Institute, University Montpellier, 34298 Montpellier, France
| | - Ludovic Gauthier
- Biometrics Unit, ICM, Montpellier Cancer Institute, University Montpellier, 34298 Montpellier, France
| | - Pierre-Emmanuel Colombo
- Digestive Surgery Department, ICM, Montpellier Cancer Institute, University Montpellier, 34298 Montpellier, France
| | - Sebastien Carrere
- Digestive Surgery Department, ICM, Montpellier Cancer Institute, University Montpellier, 34298 Montpellier, France
| | | | - Norbert Aillères
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - Pascal Fenoglietto
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - David Azria
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
| | - Olivier Riou
- Montpellier Cancer Institute (ICM), University Federation of Radiation Oncology of Mediterranean Occitanie, University Montpellier, INSERM U1194 IRCM, 34298 Montpellier, France
- Correspondence:
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12
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Chen X, Ma X, Yan X, Luo F, Yang S, Wang Z, Wu R, Wang J, Lu N, Bi N, Yi J, Wang S, Li Y, Dai J, Men K. Personalized auto-segmentation for magnetic resonance imaging guided adaptive radiotherapy of prostate cancer. Med Phys 2022; 49:4971-4979. [PMID: 35670079 DOI: 10.1002/mp.15793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 05/13/2022] [Accepted: 05/30/2022] [Indexed: 11/07/2022] Open
Abstract
PURPOSE Fast and accurate delineation of organs on treatment-fraction images is critical in magnetic resonance imaging-guided adaptive radiotherapy (MRIgART). This study proposes a personalized auto-segmentation (AS) framework to assist online delineation of prostate cancer using MRIgART. METHODS Image data from 26 patients diagnosed with prostate cancer and treated using hypofractionated MRIgART (5 fractions per patient) were collected retrospectively. Daily pretreatment T2-weighted MRI was performed using a 1.5-T MRI system integrated into a Unity MR-linac. First-fraction image and contour data from 16 patients (80 image-sets) were used to train the population AS model, and the remaining 10 patients composed the test set. The proposed personalized AS framework contained two main steps. First, a convolutional neural network was employed to train the population model using the training set. Second, for each test patient, the population model was progressively fine-tuned with manually checked delineations of the patient's current and previous fractions to obtain a personalized model that was applied to the next fraction. RESULTS Compared with the population model, the personalized models substantially improved the mean Dice similarity coefficient from 0.79 to 0.93 for the prostate clinical target volume (CTV), 0.91 to 0.97 for the bladder, 0.82 to 0.92 for the rectum, 0.91 to 0.93 for the femoral heads, respectively. CONCLUSIONS The proposed method can achieve accurate segmentation and potentially shorten the overall online delineation time of MRIgART. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Xinyuan Chen
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Xiangyu Ma
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Xuena Yan
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Fei Luo
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Siran Yang
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Zekun Wang
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Runye Wu
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jianyang Wang
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Ningning Lu
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Nan Bi
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Junlin Yi
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Shulian Wang
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Yexiong Li
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jianrong Dai
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Kuo Men
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
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13
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Qin A, Chen S, Liang J, Snyder M, Yan D. Evaluation of DIR schemes on tumor/organ with progressive shrinkage: accuracy of tumor/organ internal tissue tracking during the radiation treatment. Radiother Oncol 2022; 173:170-178. [PMID: 35667570 DOI: 10.1016/j.radonc.2022.05.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 05/31/2022] [Accepted: 05/31/2022] [Indexed: 11/19/2022]
Abstract
PURPOSE Accuracy of intratumoral treatment dose accumulation and response assessment highly depends on the accuracy of a DIR method. However, achievable accuracy of the existing DIR methods for tumor/organ with large and progressive shrinkage during the radiotherapy course have not been explored. This study aimed to use a bio-tissue phantom to quantify the achievable accuracy of different DIR schemes. MATERIALS /METHODS A fresh porcine liver was used for phantom material. Sixty gold markers were implanted on the surface and inside of the liver. To simulate the progressive radiation-induced tumor/organ shrinkage, the phantom was heated using a microwave oven incrementally from 30s to 200s in 8 phases. For each phase, the phantom was scanned by CT. Two extra image sets were generated from the original images: 1) the image set with overriding the high-density gold markers (feature image); 2) the image set with overriding the entire phantom to the mean soft tissue intensity (featureless image). Ten DIR schemes were evaluated to mimic clinical treatment situations of tumor/critical organ with respect to their surface and internal condition of image features, availability of intermediate feedback images and DIR methods. The internal marker's positions were utilized to evaluate DIR accuracy quantified by target registration error (TRE). RESULTS Volume reduction was about 20% ∼ 40% of the initial volume after 90s ∼ 200s of the heating. Without image features on the surface and inside of the phantom, the hybrid-DIR (image-based DIR followed by biomechanical model-based refinement) with the surface constraint achieved the registration TRE from 2.6 ± 1.2mm to 5.3 ± 2.6mm proportional to the %volume shrinkage. Meanwhile, the hybrid-DIR with the surface-marker constraint achieved the TRE from 2.4 ± 1.2mm to 2.6 ± 1.0mm. If both the surface and internal image features would be viable on the feedback images, the achievable accuracy could be minimal with the TRE from 1.6±0.9mm to 1.9 ± 1.2mm. CONCLUSIONS Standard DIR methods cannot guarantee intratumoral tissue registration accuracy for tumor/organ with large progressive shrinkage. Achievable accuracy with using the hybrid DIR method is highly dependent on the surface registration accuracy. If the surface registration mean TRE can be controlled within 2mm, the mean TRE of internal tissue can be controlled within 3mm.
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Affiliation(s)
- An Qin
- Dept. of Radiation Oncology, Beaumont Health System, Royal Oak, United States
| | - Shupeng Chen
- Dept. of Radiation Oncology, Beaumont Health System, Royal Oak, United States
| | - Jian Liang
- Dept. of Radiation Oncology, Beaumont Health System, Royal Oak, United States
| | - Michael Snyder
- Dept. of Radiation Oncology, Beaumont Health System, Royal Oak, United States
| | - Di Yan
- Dept. of Radiation Oncology, Beaumont Health System, Royal Oak, United States; Radiation Oncology, Huaxi Hospitals & Medical School, Chengdu, China.
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14
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Ferris WS, Chao EH, Smilowitz JB, Kimple RJ, Bayouth JE, Culberson WS. Using 4D dose accumulation to calculate organ-at-risk dose deviations from motion-synchronized liver and lung tomotherapy treatments. J Appl Clin Med Phys 2022; 23:e13627. [PMID: 35486094 PMCID: PMC9278681 DOI: 10.1002/acm2.13627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 03/22/2022] [Accepted: 04/11/2022] [Indexed: 11/06/2022] Open
Abstract
Tracking systems such as Radixact Synchrony change the planned delivery of radiation during treatment to follow the target. This is typically achieved without considering the location changes of organs at risk (OARs). The goal of this work was to develop a novel 4D dose accumulation framework to quantify OAR dose deviations due to the motion and tracked treatment. The framework obtains deformation information and the target motion pattern from a four-dimensional computed tomography dataset. The helical tomotherapy treatment plan is split into 10 plans and motion correction is applied separately to the jaw pattern and multi-leaf collimator (MLC) sinogram for each phase based on the location of the target in each phase. Deformable image registration (DIR) is calculated from each phase to the references phase using a commercial algorithm, and doses are accumulated according to the DIR. The effect of motion synchronization on OAR dose was analyzed for five lung and five liver subjects by comparing planned versus synchrony-accumulated dose. The motion was compensated by an average of 1.6 cm of jaw sway and by an average of 5.7% of leaf openings modified, indicating that most of the motion compensation was from jaw sway and not MLC changes. OAR dose deviations as large as 19 Gy were observed, and for all 10 cases, dose deviations greater than 7 Gy were observed. Target dose remained relatively constant (D95% within 3 Gy), confirming that motion-synchronization achieved the goal of maintaining target dose. Dose deviations provided by the framework can be leveraged during the treatment planning process by identifying cases where OAR doses may change significantly from their planned values with respect to the critical constraints. The framework is specific to synchronized helical tomotherapy treatments, but the OAR dose deviations apply to any real-time tracking technique that does not consider location changes of OARs.
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Affiliation(s)
- William S Ferris
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | | | - Jennifer B Smilowitz
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.,Department of Human Oncology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Randall J Kimple
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.,Department of Human Oncology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.,University of Wisconsin Carbone Cancer Center, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - John E Bayouth
- Department of Human Oncology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Wesley S Culberson
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
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15
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Michalet M, Bordeau K, Cantaloube M, Valdenaire S, Debuire P, Simeon S, Portales F, Draghici R, Ychou M, Assenat E, Dupuy M, Gourgou S, Colombo PE, Carrere S, Souche FR, Aillères N, Fenoglietto P, Azria D, Riou O. Stereotactic MR-Guided Radiotherapy for Pancreatic Tumors: Dosimetric Benefit of Adaptation and First Clinical Results in a Prospective Registry Study. Front Oncol 2022; 12:842402. [PMID: 35356227 PMCID: PMC8959839 DOI: 10.3389/fonc.2022.842402] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 01/31/2022] [Indexed: 01/05/2023] Open
Abstract
Introduction Stereotactic MR-guided adaptive radiotherapy (SMART) is an attractive modality of radiotherapy for pancreatic tumors. The objectives of this prospective registry study were to report the dosimetric benefits of daily adaptation of SMART and the first clinical results in pancreatic tumors. Materials and Methods All patients treated in our center with SMART for a pancreatic tumor were included. Patients were planned for five daily-adapted fractions on consecutive days. Endpoints were acute toxicities, late toxicities, impact of adaptive treatment on target volume coverage and organs at risk (OAR) sparing, local control (LC) rate, distant metastasis-free survival (DMFS), and overall survival (OS). Results Thirty consecutive patients were included between October 2019 and April 2021. The median dose prescription was 50 Gy. No patient presented grade > 2 acute toxicities. The most frequent grade 1–2 toxicities were asthenia (40%), abdominal pain (40%), and nausea (43%). Daily adaptation significantly improved planning target volume (PTV) and gross tumor volume (GTV) coverage and OAR sparing. With a median follow-up of 9.7 months, the median OS, 6-month OS, and 1-year OS were 14.1 months, 89% (95% CI: 70%–96%), and 75% (95% CI: 51%–88%), respectively, from SMART completion. LC at 6 months and 1 year was respectively 97% (95% CI: 79–99.5%) and 86% (95% CI: 61%–95%). There were no grade > 2 late toxicities. With a median follow-up of 10.64 months, locally advanced pancreatic cancer (LAPC) and borderline resectable pancreatic cancer (BRPC) patients (22 patients) had a median OS, 6-month OS, and 1-year OS from SMART completion of 14.1 months, 76% (95% CI: 51%–89%), and 70% (95% CI: 45%–85%), respectively. Nine patients underwent surgical resection (42.1% of patients with initial LAPC and 33.3% of patients with BRPC), with negative margins (R0). Resected patients had a significantly better OS as compared to unresected patients (p = 0.0219, hazard ratio (HR) = 5.78 (95% CI: 1.29–25.9)). Conclusion SMART for pancreatic tumors is feasible without limiting toxicities. Daily adaptation demonstrated a benefit for tumor coverage and OAR sparing. The severity of observed acute and late toxicities was low. OS and LC rates were promising. SMART achieved a high secondary resection rate in LAPC patients. Surgery after SMART seemed to be feasible and might increase OS in these patients.
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Affiliation(s)
- Morgan Michalet
- University Federation of Radiation Oncology of Mediterranean Occitanie, Montpellier Cancer Institute (ICM), Univ Montpellier, INSERM U1194 Institut de Recherche en Cancérologie de Montpellier (IRCM), Montpellier, France
| | - Karl Bordeau
- University Federation of Radiation Oncology of Mediterranean Occitanie, Montpellier Cancer Institute (ICM), Univ Montpellier, INSERM U1194 Institut de Recherche en Cancérologie de Montpellier (IRCM), Montpellier, France
| | - Marie Cantaloube
- University Federation of Radiation Oncology of Mediterranean Occitanie, Montpellier Cancer Institute (ICM), Univ Montpellier, INSERM U1194 Institut de Recherche en Cancérologie de Montpellier (IRCM), Montpellier, France
| | - Simon Valdenaire
- University Federation of Radiation Oncology of Mediterranean Occitanie, Montpellier Cancer Institute (ICM), Univ Montpellier, INSERM U1194 Institut de Recherche en Cancérologie de Montpellier (IRCM), Montpellier, France
| | - Pierre Debuire
- University Federation of Radiation Oncology of Mediterranean Occitanie, Montpellier Cancer Institute (ICM), Univ Montpellier, INSERM U1194 Institut de Recherche en Cancérologie de Montpellier (IRCM), Montpellier, France
| | - Sebastien Simeon
- University Federation of Radiation Oncology of Mediterranean Occitanie, Montpellier Cancer Institute (ICM), Univ Montpellier, INSERM U1194 Institut de Recherche en Cancérologie de Montpellier (IRCM), Montpellier, France
| | - Fabienne Portales
- Medical Oncology Department, Institut du Cancer de Montpellier (ICM), Montpellier Cancer Institute, Univ Montpellier, Montpellier, France
| | - Roxana Draghici
- University Federation of Radiation Oncology of Mediterranean Occitanie, Montpellier Cancer Institute (ICM), Univ Montpellier, INSERM U1194 Institut de Recherche en Cancérologie de Montpellier (IRCM), Montpellier, France
| | - Marc Ychou
- Medical Oncology Department, Institut du Cancer de Montpellier (ICM), Montpellier Cancer Institute, Univ Montpellier, Montpellier, France
| | - Eric Assenat
- Medical Oncology Department, Centre Hospitalier Universitaire (CHU) St Eloi, Montpellier, France
| | - Marie Dupuy
- Medical Oncology Department, Centre Hospitalier Universitaire (CHU) St Eloi, Montpellier, France
| | - Sophie Gourgou
- Biometrics Unit Institut du Cancer de Montpellier (ICM), Montpellier Cancer Institute, Univ Montpellier, Montpellier, France
| | - Pierre-Emmanuel Colombo
- Digestive Surgery Department, Institut du Cancer de Montpellier (ICM), Montpellier Cancer Institute, Univ Montpellier, Montpellier, France
| | - Sebastien Carrere
- Digestive Surgery Department, Institut du Cancer de Montpellier (ICM), Montpellier Cancer Institute, Univ Montpellier, Montpellier, France
| | - François-Regis Souche
- Surgical Department, Centre Hospitalier Universitaire (CHU) St Eloi, Montpellier, France
| | - Norbert Aillères
- University Federation of Radiation Oncology of Mediterranean Occitanie, Montpellier Cancer Institute (ICM), Univ Montpellier, INSERM U1194 Institut de Recherche en Cancérologie de Montpellier (IRCM), Montpellier, France
| | - Pascal Fenoglietto
- University Federation of Radiation Oncology of Mediterranean Occitanie, Montpellier Cancer Institute (ICM), Univ Montpellier, INSERM U1194 Institut de Recherche en Cancérologie de Montpellier (IRCM), Montpellier, France
| | - David Azria
- University Federation of Radiation Oncology of Mediterranean Occitanie, Montpellier Cancer Institute (ICM), Univ Montpellier, INSERM U1194 Institut de Recherche en Cancérologie de Montpellier (IRCM), Montpellier, France
| | - Olivier Riou
- University Federation of Radiation Oncology of Mediterranean Occitanie, Montpellier Cancer Institute (ICM), Univ Montpellier, INSERM U1194 Institut de Recherche en Cancérologie de Montpellier (IRCM), Montpellier, France
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16
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Nierer L, Kamp F, Reiner M, Corradini S, Rabe M, Dietrich O, Parodi K, Belka C, Kurz C, Landry G. Evaluation of an anthropomorphic ion chamber and 3D gel dosimetry head phantom at a 0.35 T MR-linac using separate 1.5 T MR-scanners for gel readout. Z Med Phys 2022; 32:312-325. [PMID: 35305857 PMCID: PMC9948847 DOI: 10.1016/j.zemedi.2022.01.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 01/27/2022] [Accepted: 01/31/2022] [Indexed: 12/22/2022]
Abstract
PURPOSE To date, no universally accepted technique for the evaluation of the overall dosimetric performance of hybrid integrated magnetic resonance imaging (MR) - linear accelerators (linacs) is available. We report on the suitability and reliability of a novel phantom with modular inserts for combined polymer gel (PG) and ionisation chamber (IC) measurements at a 0.35 T MR-linac. METHODS Three 3D-printed, modular head phantoms, based on real patient anatomy, were used for repeated (2 times) PG irradiations of cranial treatment plans on a 0.35 T MR-linac. The PG readout was performed on two 1.5 T diagnostic MR-scanners to reduce scanning time. The PG dose volumes were normalised to the IC dose (normalised dose N1) and to the median planning target volume dose (normalised dose N2). Linearity of the PG dose response was validated and dose profiles, centres of mass (COM) of the 95% isodoses and dose volume histograms (DVH) were compared between planned and measured dose distributions and a 3D gamma analysis was performed. RESULTS Dose linearity of the PG was good (R2> 0.99 for all linear fit functions). High agreement was found between planned and measured dose volumes in the dose profiles and DVHs. The largest dose deviation was found in the intermediate dose region (mean dose deviation 0.2Gy; 5.6%). A mean COM offset of 1.2mm indicated high spatial accuracy. Mean 3D gamma passing rates (2%, 2mm) of 83.3% for N1 and 91.6% for N2 dose distributions were determined. When comparing repeated PG measurements to each other, a mean gamma passing rate of 95.7% was found. CONCLUSION The new modular phantom was found practical for use at a 0.35 T MR-linac. In contrast to the high dose region, larger mean deviations were found in the mid dose range. The PG measurements showed high reproducibility. The MR-linac performed well in a non-adaptive setting in terms of spatial and dosimetric accuracy.
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Affiliation(s)
- Lukas Nierer
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany.
| | - Florian Kamp
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany; Department of Radiation Oncology, University Hospital Cologne, Kerpener Str. 62, 50937 Cologne, Germany
| | - Michael Reiner
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Stefanie Corradini
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Moritz Rabe
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Olaf Dietrich
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Katia Parodi
- Department of Medical Physics, Faculty of Physics, Ludwig-Maximilians-Universität München, 85748 Garching, Germany
| | - Claus Belka
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany; German Cancer Consortium (DKTK), partner site Munich, Munich, Germany
| | - Christopher Kurz
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Guillaume Landry
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
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17
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Hu P, Li X, Liu W, Yan B, Xue X, Yang F, Ford JC, Portelance L, Yang Y. Dosimetry impact of gating latency in cine magnetic resonance image guided breath-hold pancreatic cancer radiotherapy. Phys Med Biol 2022; 67. [PMID: 35144247 DOI: 10.1088/1361-6560/ac53e0] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 02/10/2022] [Indexed: 12/31/2022]
Abstract
Objective.We investigated dosimetry effect of gating latency in cine magnetic resonance image (cine MRI) guided breath-hold pancreatic cancer radiotherapy.Approach.The gating latency was calculated based on cine MRI obtained from 17 patients who received MRI guided radiotherapy. Because of the cine MRI-related latency, beam overshoot occurs when beam remains on while the tracking target already moves out of the target boundary. The number of beam on/off events was calculated from the cine MRI data. We generated both IMRT and VMAT plans for all 17 patients using 33 Gy prescription, and created motion plans by applying isocenter shift that corresponds to motion-induced tumor displacement. The GTV and PTV coverage and dose to nearby critical structures were compared between the motion and original plan to evaluate the dosimetry change caused by cine MRI latency.Main results.The time ratio of cine MRI imaging latency over the treatment duration is 6.6 ± 3.1%, the mean and median percentage of beam-on events <4 s are 67.0 ± 14.3% and 66.6%. When a gating boundary of 4 mm and a target-out threshold of 5% is used, there is no significant difference for GTV V33Gy between the motion and original plan (p = 0.861 and 0.397 for IMRT and VMAT planning techniques, respectively). However, the PTV V33Gy and stomach Dmax for the motion plans are significantly lower; duodenum V12.5 Gy and V18Gy are significantly higher when compared with the original plans, for both IMRT and VMAT planning techniques.Significance.The cine MRI gating latency can significantly decrease the dose delivered to the PTV, and increase the dose to the nearby critical structures. However, no significant difference is observed for the GTV coverage. The dosimetry impact can be mitigated by implementing additional beam-on control techniques which reduces unnecessary beam on events and/or by using faster cine MRI sequences which reduces the latency period.
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Affiliation(s)
- Panpan Hu
- Department of Engineering and Applied Physics, School of Physical Sciences, University of Science and Technology of China, Hefei, People's Republic of China.,Department of Radiation Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Xiaoyang Li
- Department of Engineering and Applied Physics, School of Physical Sciences, University of Science and Technology of China, Hefei, People's Republic of China.,Department of Radiation Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Wei Liu
- Department of Radiation Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Bing Yan
- Department of Radiation Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Xudong Xue
- Department of Radiation Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China.,Department of Radiation Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Fei Yang
- Department of Radiation Oncology, The Miller School of Medicine, University of Miami, Miami, United States of America
| | - John Chetley Ford
- Department of Radiation Oncology, The Miller School of Medicine, University of Miami, Miami, United States of America
| | - Lorraine Portelance
- Department of Radiation Oncology, The Miller School of Medicine, University of Miami, Miami, United States of America
| | - Yidong Yang
- Department of Engineering and Applied Physics, School of Physical Sciences, University of Science and Technology of China, Hefei, People's Republic of China.,Department of Radiation Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China.,Department of Radiation Oncology, The Miller School of Medicine, University of Miami, Miami, United States of America
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18
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Tillery H, Moore M, Gallagher KJ, Taddei PJ, Leuro E, Argento DC, Moffitt GB, Kranz M, Carey M, Heymsfield S, Newhauser WD. Personalized 3D-printed anthropomorphic whole-body phantom irradiated by protons, photons, and neutrons. Biomed Phys Eng Express 2022; 8. [PMID: 35045408 DOI: 10.1088/2057-1976/ac4d04] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Accepted: 01/19/2022] [Indexed: 11/12/2022]
Abstract
The objective of this study was to confirm the feasibility of three-dimensionally-printed (3D-printed), personalized whole-body anthropomorphic phantoms for radiation dose measurements in a variety of charged and uncharged particle radiation fields. We 3D-printed a personalized whole-body phantom of an adult female with a height of 154.8 cm, mass of 90.7 kg, and body mass index of 37.8 kg/m2. The phantom comprised of a hollow plastic shell filled with water and included a watertight access conduit for positioning dosimeters. It is compatible with a wide variety of radiation dosimeters, including ionization chambers that are suitable for uncharged and charged particles. Its mass was 6.8 kg empty and 98 kg when filled with water. Watertightness and mechanical robustness were confirmed after multiple experiments and transportations between institutions. The phantom was irradiated to the cranium with therapeutic beams of 170-MeV protons, 6-MV photons, and fast neutrons. Radiation absorbed dose was measured from the cranium to the pelvis along the longitudinal central axis of the phantom. The dose measurements were made using established dosimetry protocols and well-characterized instruments. For the therapeutic environments considered in this study, stray radiation from intracranial treatment beams was the lowest for proton therapy, intermediate for photon therapy, and highest for neutron therapy. An illustrative example set of measurements at the location of the thyroid for a square field of 5.3 cm per side resulted in 0.09, 0.59, and 1.93 cGy/Gy from proton, photon, and neutron beams, respectively. In this study, we found that 3D-printed personalized phantoms are feasible, inherently reproducible, and well-suited for therapeutic radiation measurements. The measurement methodologies we developed enabled the direct comparison of radiation exposures from neutron, proton, and photon beam irradiations.
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Affiliation(s)
- Hunter Tillery
- Radiation Medicine, Oregon Health & Science University, 3181 S.W. Sam Jackson Park Road, KPV4, Portland, Oregon, 97239-3098, UNITED STATES
| | - Meagan Moore
- Louisiana State University, 439-B Nicholson Hall, Tower Dr., Baton Rouge, Louisiana, 70803-4001, UNITED STATES
| | - Kyle Joseph Gallagher
- Radiation Medicine, Oregon Health & Science University, 3181 S.W. Sam Jackson Park Road, KPV4, Portland, Oregon, 97239-3098, UNITED STATES
| | - Phillip J Taddei
- Department of Radiation Oncology, Mayo Clinic, 200 First St. SW, Rochester, Minnesota, 55905, UNITED STATES
| | - Eric Leuro
- Seattle Cancer Care Alliance, 1570 N 115th St, Seattle, Washington, 98133, UNITED STATES
| | - David C Argento
- Radiation Oncology, University of Washington School of Medicine, 1959 NE Pacific St, Seattle, Washington, 98195, UNITED STATES
| | - Gregory B Moffitt
- Radiation Oncology, University of Washington School of Medicine, 1959 NE Pacific St, Seattle, Washington, 98195, UNITED STATES
| | - Marissa Kranz
- University of Washington School of Medicine, 1959 NE Pacific St, Seattle, Washington, 98195, UNITED STATES
| | - Margaret Carey
- Louisiana State University, 439-B Nicholson Hall, Tower Dr., Baton Rouge, Louisiana, 70803-4001, UNITED STATES
| | - Steven Heymsfield
- Louisiana State University, 439-B Nicholson Hall, Tower Dr., Baton Rouge, Louisiana, 70803-4001, UNITED STATES
| | - Wayne David Newhauser
- Louisiana State University, 439-B Nicholson Hall, Tower Dr., Baton Rouge, Louisiana, 70803-4001, UNITED STATES
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19
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CT-guided versus MR-guided radiotherapy: Impact on gastrointestinal sparing in adrenal stereotactic body radiotherapy. Radiother Oncol 2021; 166:101-109. [PMID: 34843842 DOI: 10.1016/j.radonc.2021.11.024] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 11/18/2021] [Accepted: 11/21/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND AND PURPOSE To quantify the indication for adaptive, gated breath-hold (BH) MR-guided radiotherapy (MRgRTBH) versus BH or free-breathing (FB) CT-based image-guided radiotherapy (CT-IGRT) for the ablative treatment of adrenal malignancies. MATERIALS AND METHODS Twenty adrenal patients underwent adaptive IMRT MRgRTBH to a median dose of 50 Gy/5 fractions. Each patient was replanned for VMAT CT-IGRTBH and CT-IGRTFB on a c-arm linac. Only CT-IGRTFB used an ITV, summed from GTVs of all phases of the 4DCT respiratory evaluation. All used the same 5 mm GTV/ITV to PTV expansion. Metrics evaluated included: target volume and coverage, conformality, mean ipsilateral kidney and 0.5 cc gastrointestinal organ-at-risk (OAR) doses (D0.5cc). Adaptive dose for MRgRTBH and predicted dose (i.e., initial plan re-calculated on anatomy of the day) was performed for CT-IGRTBH and MRgRTBH to assess frequency of OAR violations and coverage reductions for each fraction. RESULTS The more common VMAT CT-IGRTFB, with its significantly larger target volumes, proved inferior to MRgRTBH in mean PTV and ITV/GTV coverage, as well as small bowel D0.5cc. Conversely, VMAT CT-IGRTBH delivered a dosimetrically superior initial plan in terms of statistically significant (p ≤ 0.02) improvements in target coverage, conformality and D0.5cc to the large bowel, duodenum and mean ipsilateral kidney compared to IMRT MRgRTBH. However, non-adaptive CT-IGRTBH had a 71.8% frequency of predicted indications for adaptation and was 2.8 times more likely to experience a coverage reduction in PTV D95% than predicted for MRgRTBH. CONCLUSION Breath-hold VMAT radiotherapy provides superior target coverage and conformality over MRgRTBH, but the ability of MRgRTBH to safely provide ablative doses to adrenal lesions near mobile luminal OAR through adaptation and direct, real-time motion tracking is unmatched.
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20
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Halloran A, Newhauser W, Chu C, Donahue W. Personalized 3D-printed anthropomorphic phantoms for dosimetry in charged particle fields. Phys Med Biol 2021; 66. [PMID: 34654002 DOI: 10.1088/1361-6560/ac3047] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 10/15/2021] [Indexed: 11/11/2022]
Abstract
Anthropomorphic phantoms used for radiation dose measurements are designed to mimic human tissue in shape, size, and tissue composition. Reference phantoms are widely available and are sufficiently similar to many, but not all, human subjects. 3D printing has the potential to overcome some of these shortcomings by enabling rapid fabrication of personalized phantoms for individual human subjects based on radiographic imaging data.Objective. The objective of this study was to test the efficacy of personalized 3D printed phantoms for charged particle therapy. To accomplish this, we measured dose distributions from 6 to 20 MeV electron beams, incident on printed and molded slices of phantoms.Approach. Specifically, we determined the radiological properties of 3D printed phantoms, including beam penetration range. Additionally, we designed and printed a personalized head phantom to compare results obtained with a commercial, reference head phantom for quality assurance of therapeutic electron beam dose calculations.Main Results. For regions of soft tissue, gamma index analyses revealed a 3D printed slice was able to adequately model the same electron beam penetration ranges as the molded reference slice. The printed, personalized phantom provided superior dosimetric accuracy compared to the molded reference phantom for electron beam dose calculations at all electron beam energies. However, current limitations in the ability to print high-density structures, such as bone, limited pass rates of 60% or better at 16 and 20 MeV electron beam energies.Significance. This study showed that creating personalized phantoms using 3D printing techniques is a feasible way to substantially improve the accuracy of dose measurements of therapeutic electron beams, but further improvements in printing techniques are necessary in order to increase the printable density in phantoms.
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Affiliation(s)
- Andrew Halloran
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, Louisiana, United States of America
| | - Wayne Newhauser
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, Louisiana, United States of America.,Department of Radiation Physics, Mary Bird Perkins Cancer Center, Baton Rouge, Louisiana, United States of America
| | - Connel Chu
- Department of Radiation Physics, Mary Bird Perkins Cancer Center, Baton Rouge, Louisiana, United States of America
| | - William Donahue
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, Louisiana, United States of America
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21
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Doty DG, Chuong MD, Gomez AG, Bryant J, Contreras J, Romaguera T, Alvarez D, Kotecha R, Mehta MP, Gutierrez AN, Mittauer KE. Stereotactic MR-guided online adaptive radiotherapy reirradiation (SMART reRT) for locally recurrent pancreatic adenocarcinoma: A case report. Med Dosim 2021; 46:384-388. [PMID: 34120803 DOI: 10.1016/j.meddos.2021.04.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 04/29/2021] [Indexed: 11/16/2022]
Abstract
INTRODUCTION Stereotactic MR-guided online adaptive radiation therapy (SMART) has demonstrated a superior radiotherapeutic ratio for pancreatic patients, by enabling dose escalation while minimizing the dose to the proximal gastrointestinal organs at risk through online adaptive radiotherapy. The safe delivery of stereotactic body radiation therapy (SBRT) is of particular importance in the reirradiation setting and has been historically limited to CT-based nonadaptive modalities. Herein, we report the first use of online adaptive radiotherapy in the reirradiation setting, specifically for treatment of locally recurrent pancreatic adenocarcinoma through SMART reirradiation (SMART reRT). CASE DESCRIPTION We describe the treatment of a 68-year-old male who was diagnosed with, unresectable locally advanced pancreatic adenocarcinoma. Initial treatment included FOLFIRINOX followed by 45 Gy in 25 fractions on a helical intensity-modulated radiotherapy (IMRT) device with concurrent capecitabine, followed by a boost of 14.4 Gy in 8 fractions to a on an MR-guided radiotherapy (MRgRT) linac. At approximately 12 months from initial radiotherapy, the patient experienced local progression of the pancreas body/tail and therefore SMART reRT of 50 Gy in 5 fractions was initiated. The technical considerations of cumulative dose for gastrointestinal organs across multiple courses, treatment planning principles, and adaptive radiotherapy details are outlined in this case study. The patient tolerated treatment well with minimal fatigue. CONCLUSIONS The therapeutic ratio of reirradiation may be improved using daily MR guidance with online adaptive replanning, especially for lesions in proximity to critical structures. Future studies are warranted to assess long-term outcomes of dose escalated MR-guided reRT, define OAR dose constraints for reRT, and assess cumulative dose across the adapted SMART reRT fractions and the original RT plan.
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Affiliation(s)
- Delia G Doty
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA; Souther Illinois University, Carbondale, IL, USA
| | - Michael D Chuong
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
| | - Andres G Gomez
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA
| | - John Bryant
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA
| | - Jessika Contreras
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
| | - Tino Romaguera
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
| | - Diane Alvarez
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
| | - Rupesh Kotecha
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA
| | - Minesh P Mehta
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA
| | - Alonso N Gutierrez
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA
| | - Kathryn E Mittauer
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL 33176, USA; Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA.
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22
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Cusumano D, Boldrini L, Dhont J, Fiorino C, Green O, Güngör G, Jornet N, Klüter S, Landry G, Mattiucci GC, Placidi L, Reynaert N, Ruggieri R, Tanadini-Lang S, Thorwarth D, Yadav P, Yang Y, Valentini V, Verellen D, Indovina L. Artificial Intelligence in magnetic Resonance guided Radiotherapy: Medical and physical considerations on state of art and future perspectives. Phys Med 2021; 85:175-191. [PMID: 34022660 DOI: 10.1016/j.ejmp.2021.05.010] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 04/15/2021] [Accepted: 05/04/2021] [Indexed: 12/14/2022] Open
Abstract
Over the last years, technological innovation in Radiotherapy (RT) led to the introduction of Magnetic Resonance-guided RT (MRgRT) systems. Due to the higher soft tissue contrast compared to on-board CT-based systems, MRgRT is expected to significantly improve the treatment in many situations. MRgRT systems may extend the management of inter- and intra-fraction anatomical changes, offering the possibility of online adaptation of the dose distribution according to daily patient anatomy and to directly monitor tumor motion during treatment delivery by means of a continuous cine MR acquisition. Online adaptive treatments require a multidisciplinary and well-trained team, able to perform a series of operations in a safe, precise and fast manner while the patient is waiting on the treatment couch. Artificial Intelligence (AI) is expected to rapidly contribute to MRgRT, primarily by safely and efficiently automatising the various manual operations characterizing online adaptive treatments. Furthermore, AI is finding relevant applications in MRgRT in the fields of image segmentation, synthetic CT reconstruction, automatic (on-line) planning and the development of predictive models based on daily MRI. This review provides a comprehensive overview of the current AI integration in MRgRT from a medical physicist's perspective. Medical physicists are expected to be major actors in solving new tasks and in taking new responsibilities: their traditional role of guardians of the new technology implementation will change with increasing emphasis on the managing of AI tools, processes and advanced systems for imaging and data analysis, gradually replacing many repetitive manual tasks.
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Affiliation(s)
- Davide Cusumano
- Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy
| | - Luca Boldrini
- Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy
| | | | - Claudio Fiorino
- Medical Physics, San Raffaele Scientific Institute, Milan, Italy
| | - Olga Green
- Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | - Görkem Güngör
- Acıbadem MAA University, School of Medicine, Department of Radiation Oncology, Maslak Istanbul, Turkey
| | - Núria Jornet
- Servei de Radiofísica i Radioprotecció, Hospital de la Santa Creu i Sant Pau, Spain
| | - Sebastian Klüter
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Guillaume Landry
- Department of Radiation Oncology, LMU Munich, Munich, Germany; German Cancer Consortium (DKTK), Munich, Germany
| | | | - Lorenzo Placidi
- Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy.
| | - Nick Reynaert
- Department of Medical Physics, Institut Jules Bordet, Belgium
| | - Ruggero Ruggieri
- Dipartimento di Radioterapia Oncologica Avanzata, IRCCS "Sacro cuore - don Calabria", Negrar di Valpolicella (VR), Italy
| | - Stephanie Tanadini-Lang
- Department of Radiation Oncology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Daniela Thorwarth
- Section for Biomedical Physics, Department of Radiation Oncology, University Hospital Tüebingen, Tübingen, Germany
| | - Poonam Yadav
- Department of Human Oncology School of Medicine and Public Heath University of Wisconsin - Madison, USA
| | - Yingli Yang
- Department of Radiation Oncology, David Geffen School of Medicine, University of California Los Angeles, USA
| | - Vincenzo Valentini
- Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy
| | - Dirk Verellen
- Department of Medical Physics, Iridium Cancer Network, Belgium; Faculty of Medicine and Health Sciences, Antwerp University, Antwerp, Belgium
| | - Luca Indovina
- Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy
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Axford A, Dikaios N, Roberts DA, Clark CH, Evans PM. An end-to-end assessment on the accuracy of adaptive radiotherapy in an MR-linac. Phys Med Biol 2021; 66:055021. [PMID: 33503604 DOI: 10.1088/1361-6560/abe053] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
PURPOSE To develop and demonstrate an end-to-end assessment procedure for adaptive radiotherapy (ART) within an MR-guided system. METHODS AND MATERIALS A 3D printed pelvic phantom was designed and constructed for use in this study. The phantom was put through the complete radiotherapy treatment chain, with planned internal changes made to model prostate translations and shape changes, allowing an investigation into three ART techniques commonly used. Absolute dosimetry measurements were made within the phantom using both gafchromic film and alanine. Comparisons between treatment planning system (TPS) calculations and measured dose values were made using the gamma evaluation with criteria of 3 mm/3% and 2 mm/2%. RESULTS Gamma analysis evaluations for each type of treatment plan adaptation investigated showed a very high agreement with pass rates for each experiment ranging from 98.10% to 99.70% and 92.60% to 97.55%, for criteria of 3%/3 mm and 2%/2 mm respectively. These pass rates were consistent for both shape and position changes. Alanine measurements further supported the results, showing an average difference of 1.98% from the TPS. CONCLUSION The end-to-end assessment procedure provided demanding challenges for treatment plan adaptations to demonstrate the capabilities and achieved high consistency in all findings.
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Affiliation(s)
- A Axford
- The Centre for Vision Speech and Signal Processing (CVSSP), University of Surrey, Guildford, Surrey, United Kingdom. Metrology for Medical Physics (MEMPHYS), National Physical Laboratory, Teddington, United Kingdom
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