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Hemon C, Rigaud B, Barateau A, Tilquin F, Noblet V, Sarrut D, Meyer P, Bert J, De Crevoisier R, Simon A. Contour-guided deep learning based deformable image registration for dose monitoring during CBCT-guided radiotherapy of prostate cancer. J Appl Clin Med Phys 2023; 24:e13991. [PMID: 37232048 PMCID: PMC10445205 DOI: 10.1002/acm2.13991] [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: 07/15/2022] [Revised: 02/16/2023] [Accepted: 03/17/2023] [Indexed: 05/27/2023] Open
Abstract
PURPOSE To evaluate deep learning (DL)-based deformable image registration (DIR) for dose accumulation during radiotherapy of prostate cancer patients. METHODS AND MATERIALS Data including 341 CBCTs (209 daily, 132 weekly) and 23 planning CTs from 23 patients was retrospectively analyzed. Anatomical deformation during treatment was estimated using free-form deformation (FFD) method from Elastix and DL-based VoxelMorph approaches. The VoxelMorph method was investigated using anatomical scans (VMorph_Sc) or label images (VMorph_Msk), or the combination of both (VMorph_Sc_Msk). Accumulated doses were compared with the planning dose. RESULTS The DSC ranges, averaged for prostate, rectum and bladder, were 0.60-0.71, 0.67-0.79, 0.93-0.98, and 0.89-0.96 for the FFD, VMorph_Sc, VMorph_Msk, and VMorph_Sc_Msk methods, respectively. When including both anatomical and label images, VoxelMorph estimated more complex deformations resulting in heterogeneous determinant of Jacobian and higher percentage of deformation vector field (DVF) folding (up to a mean value of 1.90% in the prostate). Large differences were observed between DL-based methods regarding estimation of the accumulated dose, showing systematic overdosage and underdosage of the bladder and rectum, respectively. The difference between planned mean dose and accumulated mean dose with VMorph_Sc_Msk reached a median value of +6.3 Gy for the bladder and -5.1 Gy for the rectum. CONCLUSION The estimation of the deformations using DL-based approach is feasible for male pelvic anatomy but requires the inclusion of anatomical contours to improve organ correspondence. High variability in the estimation of the accumulated dose depending on the deformable strategy suggests further investigation of DL-based techniques before clinical deployment.
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Affiliation(s)
- Cédric Hemon
- Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI – UMR 1099RennesFrance
| | - Bastien Rigaud
- Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI – UMR 1099RennesFrance
| | - Anais Barateau
- Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI – UMR 1099RennesFrance
| | - Florian Tilquin
- Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI – UMR 1099RennesFrance
| | - Vincent Noblet
- Laboratoire des sciences de l'ingénieurde l'informatique et de l'imagerieICube UMR 7357Illkirch‐GraffenstadenFrance
| | - David Sarrut
- Université de LyonCREATIS, CNRS UMR5220Inserm U1294INSA‐LyonUniversité Lyon 1LyonFrance
| | - Philippe Meyer
- Department of Medical PhysicsPaul Strauss CenterStrasbourgFrance
| | - Julien Bert
- Faculty of MedicineLaTIM, INSERM UMR 1101, IBRBS, Univ BrestBrestFrance
| | | | - Antoine Simon
- Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI – UMR 1099RennesFrance
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Bohoudi O, Lagerwaard FJ, Bruynzeel AM, Niebuhr NI, Johnen W, Senan S, Slotman BJ, Pfaffenberger A, Palacios MA. End-to-end empirical validation of dose accumulation in MRI-guided adaptive radiotherapy for prostate cancer using an anthropomorphic deformable pelvis phantom. Radiother Oncol 2019; 141:200-207. [DOI: 10.1016/j.radonc.2019.09.014] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 09/12/2019] [Accepted: 09/14/2019] [Indexed: 10/25/2022]
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Qiao Y, Jagt T, Hoogeman M, Lelieveldt BPF, Staring M. Evaluation of an Open Source Registration Package for Automatic Contour Propagation in Online Adaptive Intensity-Modulated Proton Therapy of Prostate Cancer. Front Oncol 2019; 9:1297. [PMID: 31828037 PMCID: PMC6890846 DOI: 10.3389/fonc.2019.01297] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Accepted: 11/08/2019] [Indexed: 12/17/2022] Open
Abstract
Objective: Our goal was to investigate the performance of an open source deformable image registration package, elastix, for fast and robust contour propagation in the context of online-adaptive intensity-modulated proton therapy (IMPT) for prostate cancer. Methods: A planning and 7–10 repeat CT scans were available of 18 prostate cancer patients. Automatic contour propagation of repeat CT scans was performed using elastix and compared with manual delineations in terms of geometric accuracy and runtime. Dosimetric accuracy was quantified by generating IMPT plans using the propagated contours expanded with a 2 mm (prostate) and 3.5 mm margin (seminal vesicles and lymph nodes) and calculating dosimetric coverage based on the manual delineation. A coverage of V95% ≥ 98% (at least 98% of the target volumes receive at least 95% of the prescribed dose) was considered clinically acceptable. Results: Contour propagation runtime varied between 3 and 30 s for different registration settings. For the fastest setting, 83 in 93 (89.2%), 73 in 93 (78.5%), and 91 in 93 (97.9%) registrations yielded clinically acceptable dosimetric coverage of the prostate, seminal vesicles, and lymph nodes, respectively. For the prostate, seminal vesicles, and lymph nodes the Dice Similarity Coefficient (DSC) was 0.87 ± 0.05, 0.63 ± 0.18, and 0.89 ± 0.03 and the mean surface distance (MSD) was 1.4 ± 0.5 mm, 2.0 ± 1.2 mm, and 1.5 ± 0.4 mm, respectively. Conclusion: With a dosimetric success rate of 78.5–97.9%, this software may facilitate online adaptive IMPT of prostate cancer using a fast, free and open implementation.
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Affiliation(s)
- Yuchuan Qiao
- The Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Thyrza Jagt
- Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Mischa Hoogeman
- Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Boudewijn P. F. Lelieveldt
- The Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
- Intelligent Systems Department, Faculty of EEMCS, Delft University of Technology, Delft, Netherlands
| | - Marius Staring
- The Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
- Intelligent Systems Department, Faculty of EEMCS, Delft University of Technology, Delft, Netherlands
- Department of Radiotherapy, Leiden University Medical Center, Leiden, Netherlands
- *Correspondence: Marius Staring
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Rigaud B, Simon A, Castelli J, Lafond C, Acosta O, Haigron P, Cazoulat G, de Crevoisier R. Deformable image registration for radiation therapy: principle, methods, applications and evaluation. Acta Oncol 2019; 58:1225-1237. [PMID: 31155990 DOI: 10.1080/0284186x.2019.1620331] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Background: Deformable image registration (DIR) is increasingly used in the field of radiation therapy (RT) to account for anatomical deformations. The aims of this paper are to describe the main applications of DIR in RT and discuss current DIR evaluation methods. Methods: Articles on DIR published from January 2000 to October 2018 were extracted from PubMed and Science Direct. Our search was restricted to articles that report data obtained from humans, were written in English, and address DIR methods for RT. A total of 207 articles were selected from among 2506 identified in the search process. Results: At planning, DIR is used for organ delineation using atlas-based segmentation, deformation-based planning target volume definition, functional planning and magnetic resonance imaging-based dose calculation. In image-guided RT, DIR is used for contour propagation and dose calculation on per-treatment imaging. DIR is also used to determine the accumulated dose from fraction to fraction in external beam RT and brachytherapy, both for dose reporting and adaptive RT. In the case of re-irradiation, DIR can be used to estimate the cumulated dose of the two irradiations. Finally, DIR can be used to predict toxicity in voxel-wise population analysis. However, the evaluation of DIR remains an open issue, especially when dealing with complex cases such as the disappearance of matter. To quantify DIR uncertainties, most evaluation methods are limited to geometry-based metrics. Software companies have now integrated DIR tools into treatment planning systems for clinical use, such as contour propagation and fraction dose accumulation. Conclusions: DIR is increasingly important in RT applications, from planning to toxicity prediction. DIR is routinely used to reduce the workload of contour propagation. However, its use for complex dosimetric applications must be carefully evaluated by combining quantitative and qualitative analyses.
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Affiliation(s)
- Bastien Rigaud
- CLCC Eugène Marquis, University of Rennes, Inserm , Rennes , France
| | - Antoine Simon
- CLCC Eugène Marquis, University of Rennes, Inserm , Rennes , France
| | - Joël Castelli
- CLCC Eugène Marquis, University of Rennes, Inserm , Rennes , France
| | - Caroline Lafond
- CLCC Eugène Marquis, University of Rennes, Inserm , Rennes , France
| | - Oscar Acosta
- CLCC Eugène Marquis, University of Rennes, Inserm , Rennes , France
| | - Pascal Haigron
- CLCC Eugène Marquis, University of Rennes, Inserm , Rennes , France
| | - Guillaume Cazoulat
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center , Houston , TX , USA
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Rigaud B, Simon A, Gobeli M, Lafond C, Leseur J, Barateau A, Jaksic N, Castelli J, Williaume D, Haigron P, De Crevoisier R. CBCT-guided evolutive library for cervical adaptive IMRT. Med Phys 2018; 45:1379-1390. [DOI: 10.1002/mp.12818] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2017] [Revised: 12/29/2017] [Accepted: 02/02/2018] [Indexed: 11/09/2022] Open
Affiliation(s)
- Bastien Rigaud
- LTSI; Université de Rennes 1; Campus de Beaulieu Rennes F-35042 France
- INSERM; U1099, Campus de Beaulieu Rennes F-35042 France
| | - Antoine Simon
- LTSI; Université de Rennes 1; Campus de Beaulieu Rennes F-35042 France
- INSERM; U1099, Campus de Beaulieu Rennes F-35042 France
| | - Maxime Gobeli
- Radiotherapy Department; Centre Eugene Marquis; Rennes F-35000 France
| | - Caroline Lafond
- LTSI; Université de Rennes 1; Campus de Beaulieu Rennes F-35042 France
- Radiotherapy Department; Centre Eugene Marquis; Rennes F-35000 France
| | - Julie Leseur
- Radiotherapy Department; Centre Eugene Marquis; Rennes F-35000 France
| | - Anais Barateau
- LTSI; Université de Rennes 1; Campus de Beaulieu Rennes F-35042 France
- INSERM; U1099, Campus de Beaulieu Rennes F-35042 France
| | - Nicolas Jaksic
- Radiotherapy Department; Centre Eugene Marquis; Rennes F-35000 France
| | - Joël Castelli
- LTSI; Université de Rennes 1; Campus de Beaulieu Rennes F-35042 France
- INSERM; U1099, Campus de Beaulieu Rennes F-35042 France
- Radiotherapy Department; Centre Eugene Marquis; Rennes F-35000 France
| | - Danièle Williaume
- Radiotherapy Department; Centre Eugene Marquis; Rennes F-35000 France
| | - Pascal Haigron
- LTSI; Université de Rennes 1; Campus de Beaulieu Rennes F-35042 France
- INSERM; U1099, Campus de Beaulieu Rennes F-35042 France
| | - Renaud De Crevoisier
- LTSI; Université de Rennes 1; Campus de Beaulieu Rennes F-35042 France
- INSERM; U1099, Campus de Beaulieu Rennes F-35042 France
- Radiotherapy Department; Centre Eugene Marquis; Rennes F-35000 France
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Barateau A, Céleste M, Lafond C, Henry O, Couespel S, Simon A, Acosta O, de Crevoisier R, Périchon N. Calcul de dose de radiothérapie à partir de tomographies coniques : état de l’art. Cancer Radiother 2018; 22:85-100. [PMID: 29276135 DOI: 10.1016/j.canrad.2017.07.050] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2017] [Revised: 06/06/2017] [Accepted: 07/07/2017] [Indexed: 01/26/2023]
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Qin A, Liang J, Han X, O'Connell N, Yan D. Technical Note: The impact of deformable image registration methods on dose warping. Med Phys 2018; 45:1287-1294. [PMID: 29297939 DOI: 10.1002/mp.12741] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Revised: 11/15/2017] [Accepted: 12/12/2017] [Indexed: 11/08/2022] Open
Abstract
PURPOSE The purpose of this study was to investigate the clinical-relevant discrepancy between doses warped by pure image based deformable image registration (IM-DIR) and by biomechanical model based DIR (BM-DIR) on intensity-homogeneous organs. METHODS AND MATERIALS Ten patients (5Head&Neck, 5Prostate) were included. A research DIR tool (ADMRIE_v1.12) was utilized for IM-DIR. After IM-DIR, BM-DIR was carried out for organs (parotids, bladder, and rectum) which often encompass sharp dose gradient. Briefly, high-quality tetrahedron meshes were generated and deformable vector fields (DVF) from IM-DIR were interpolated to the surface nodes of the volume meshes as boundary condition. Then, a FEM solver (ABAQUS_v6.14) was used to simulate the displacement of internal nodes, which were then interpolated to image-voxel grids to get the more physically plausible DVF. Both geometrical and subsequent dose warping discrepancies were quantified between the two DIR methods. Target registration discrepancy(TRD) was evaluated to show the geometry difference. The re-calculated doses on second CT were warped to the pre-treatment CT via two DIR. Clinical-relevant dose parameters and γ passing rate were compared between two types of warped dose. The correlation was evaluated between parotid shrinkage and TRD/dose discrepancy. RESULT The parotid shrunk to 75.7% ± 9% of its pre-treatment volume and the percentage of volume with TRD>1.5 mm) was 6.5% ± 4.7%. The normalized mean-dose difference (NMDD) of IM-DIR and BM-DIR was -0.8% ± 1.5%, with range (-4.7% to 1.5%). 2 mm/2% passing rate was 99.0% ± 1.4%. A moderate correlation was found between parotid shrinkage and TRD and NMDD. The bladder had a NMDD of -9.9% ± 9.7%, with BM-DIR warped dose systematically higher. Only minor deviation was observed for rectum NMDD (0.5% ± 1.1%). CONCLUSION Impact of DIR method on treatment dose warping is patient and organ-specific. Generally, intensity-homogeneous organs, which undergo larger deformation/shrinkage during treatment and encompass sharp dose gradient, will have greater dose warping uncertainty. For these organs, BM-DIR could be beneficial to the evaluation of DIR/dose-warping uncertainty.
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Affiliation(s)
- An Qin
- Dept. of Radiation Oncology, Beaumont Health System, Royal Oak, MI, USA
| | - Jian Liang
- Dept. of Radiation Oncology, Beaumont Health System, Royal Oak, MI, USA
| | - Xiao Han
- Elekta Inc., Maryland Heights, MO, 63043, USA
| | | | - Di Yan
- Dept. of Radiation Oncology, Beaumont Health System, Royal Oak, MI, USA
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Polan DF, Feng M, Lawrence TS, Ten Haken RK, Brock KK. Implementing Radiation Dose-Volume Liver Response in Biomechanical Deformable Image Registration. Int J Radiat Oncol Biol Phys 2017; 99:1004-1012. [PMID: 28864401 DOI: 10.1016/j.ijrobp.2017.06.2455] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 05/06/2017] [Accepted: 06/19/2017] [Indexed: 01/25/2023]
Abstract
PURPOSE Understanding anatomic and functional changes in the liver resulting from radiation therapy is fundamental to the improvement of normal tissue complication probability models needed to advance personalized medicine. The ability to link pretreatment and posttreatment imaging is often compromised by significant dose-dependent volumetric changes within the liver that are currently not accounted for in deformable image registration (DIR) techniques. This study investigated using delivered dose, in combination with other patient factors, to biomechanically model longitudinal changes in liver anatomy for follow-up care and re-treatment planning. METHODS AND MATERIALS Population models describing the relationship between dose and hepatic volume response were produced using retrospective data from 33 patients treated with focal radiation therapy. A DIR technique was improved by implementing additional boundary conditions associated with the dose-volume response in series with a previously developed biomechanical DIR algorithm. Evaluation of this DIR technique was performed on computed tomography imaging from 7 patients by comparing the model-predicted volumetric change within the liver with the observed change, tracking vessel bifurcations within the liver through the deformation process, and then determining target registration error between the predicted and identified posttreatment bifurcation points. RESULTS Evaluation of the proposed DIR technique showed that all lobes were volumetrically deformed to within the respective contour variability of each lobe. The average target registration error achieved was 7.3 mm (2.8 mm left-right and anterior-posterior and 5.1 mm superior-inferior), with the superior-inferior component within the average limiting slice thickness (6.0 mm). This represented a significant improvement (P<.01, Wilcoxon test) over the application of the previously published biomechanical DIR algorithm (10.9 mm). CONCLUSIONS This study demonstrates the feasibility of implementing dose-driven volumetric response in deformable registration, enabling improved accuracy of modeling liver anatomy changes, which could allow for improved dose accumulation, particularly for patients who require additional liver radiation therapy.
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Affiliation(s)
- Daniel F Polan
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
| | - Mary Feng
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, University of California, San Francisco, California
| | - Theodore S Lawrence
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Randall K Ten Haken
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Kristy K Brock
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, Texas
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Is Dose Deformation–Invariance Hypothesis Verified in Prostate IGRT? Int J Radiat Oncol Biol Phys 2017; 97:830-838. [DOI: 10.1016/j.ijrobp.2016.12.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2016] [Revised: 10/10/2016] [Accepted: 12/05/2016] [Indexed: 12/25/2022]
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Simon A, Nassef M, Rigaud B, Cazoulat G, Castelli J, Lafond C, Acosta O, Haigron P, de Crevoisier R. Roles of Deformable Image Registration in adaptive RT: From contour propagation to dose monitoring. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2016; 2015:5215-8. [PMID: 26737467 DOI: 10.1109/embc.2015.7319567] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Adaptive radiation therapy (ART) is based on the optimization of the treatment plan during the treatment delivery to compensate for anatomical deformations. Deformable Image Registration (DIR) then constitutes a key step in order to analyze the huge amount of daily or weekly images to provide clinically usefull information. Two main applications of DIR have been developped in ART: delineation propagation and dose accumulation. If delineation propagation is well validated and transfered in the clinic, some challenges remain to address for dose accumulation. In this paper, we review the recent developments of DIR in ART, particularly in prostate and head-and-neck (H&N), with a focus on their evaluation.
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Zhang P, Simon A, Rigaud B, Castelli J, Ospina Arango JD, Nassef M, Henry O, Zhu J, Haigron P, Li B, Shu H, De Crevoisier R. Optimal adaptive IMRT strategy to spare the parotid glands in oropharyngeal cancer. Radiother Oncol 2016; 120:41-7. [PMID: 27372223 DOI: 10.1016/j.radonc.2016.05.028] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2015] [Revised: 05/21/2016] [Accepted: 05/25/2016] [Indexed: 10/21/2022]
Abstract
PURPOSE In oropharyngeal cancer adaptive radiation therapy (ART), this study aimed to quantify the dosimetric benefit of numerous replanning strategies, defined by various numbers and timings of replannings, with regard to parotid gland (PG) sparing. MATERIAL AND METHODS Thirteen oropharyngeal cancer patients had one planning and then six weekly CT scans during the seven weeks of IMRT. Weekly doses were recalculated without replanning or with replanning to spare the PG. Sixty-three ART scenarios were simulated by considering all the combinations of numbers and timings of replanning. The PG cumulated doses corresponding to "standard" IMRT and ART scenarios were estimated and compared, either by calculating the average of weekly doses or using deformable image registration (DIR). RESULTS Considering average weekly doses, the mean PG overdose using standard IMRT, compared to the planned dose, was 4.1Gy. The mean dosimetric benefit of 6 replannings was 3.3Gy. Replanning at weeks 1, 1-5, 1-2-5, 1-2-4-5 and 1-2-4-5-6 produced the lowest PG mean doses, 94% of the maximum benefit being obtained with 3 replannings. The percentage of patients who had a benefit superior to 5Gy for the contralateral PG was 31% for the three-replannings strategy. The same conclusions were found using DIR. CONCLUSION Early replannings proved the most beneficial for PG sparing, three replannings (weeks 1-2-5), representing an attractive combination for ART in oropharyngeal cancer.
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Affiliation(s)
- Pengcheng Zhang
- National Key Laboratory for Electronic Measurement Technology, North University of China, Taiyuan, People's Republic of China; Université de Rennes 1, LTSI, France; INSERM, U1099, Rennes, France; Centre de Recherche en Information médicale sino-français (CRIBs), Rennes, France
| | - Antoine Simon
- Université de Rennes 1, LTSI, France; INSERM, U1099, Rennes, France; Centre de Recherche en Information médicale sino-français (CRIBs), Rennes, France
| | - Bastien Rigaud
- Université de Rennes 1, LTSI, France; INSERM, U1099, Rennes, France.
| | - Joël Castelli
- Université de Rennes 1, LTSI, France; INSERM, U1099, Rennes, France; Centre Eugene Marquis, Radiotherapy Department, Rennes, France
| | | | - Mohamed Nassef
- Université de Rennes 1, LTSI, France; INSERM, U1099, Rennes, France
| | - Olivier Henry
- Centre Eugene Marquis, Radiotherapy Department, Rennes, France
| | - Jian Zhu
- Department of Radiation Oncology, Shandong Cancer Hospital, Jinan, People's Republic of China; Laboratory of Image Science and Technology, Southeast University, Nanjing, People's Republic of China
| | - Pascal Haigron
- Université de Rennes 1, LTSI, France; INSERM, U1099, Rennes, France; Centre de Recherche en Information médicale sino-français (CRIBs), Rennes, France
| | - Baosheng Li
- Department of Radiation Oncology, Shandong Cancer Hospital, Jinan, People's Republic of China; Laboratory of Image Science and Technology, Southeast University, Nanjing, People's Republic of China
| | - Huazhong Shu
- Centre de Recherche en Information médicale sino-français (CRIBs), Rennes, France; Laboratory of Image Science and Technology, Southeast University, Nanjing, People's Republic of China
| | - Renaud De Crevoisier
- Université de Rennes 1, LTSI, France; INSERM, U1099, Rennes, France; Centre de Recherche en Information médicale sino-français (CRIBs), Rennes, France; Centre Eugene Marquis, Radiotherapy Department, Rennes, France.
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Dréan G, Acosta O, Lafond C, Simon A, de Crevoisier R, Haigron P. Interindividual registration and dose mapping for voxelwise population analysis of rectal toxicity in prostate cancer radiotherapy. Med Phys 2016; 43:2721-2730. [DOI: 10.1118/1.4948501] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
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Nassef M, Simon A, Cazoulat G, Duménil A, Blay C, Lafond C, Acosta O, Balosso J, Haigron P, de Crevoisier R. Quantification of dose uncertainties in cumulated dose estimation compared to planned dose in prostate IMRT. Radiother Oncol 2016; 119:129-36. [DOI: 10.1016/j.radonc.2016.03.007] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2015] [Revised: 03/02/2016] [Accepted: 03/02/2016] [Indexed: 12/25/2022]
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Foley D, O'Brien DJ, León-Vintró L, McClean B, McBride P. Phase correlation applied to the 3D registration of CT and CBCT image volumes. Phys Med 2016; 32:618-24. [PMID: 26988935 DOI: 10.1016/j.ejmp.2016.02.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2015] [Revised: 02/24/2016] [Accepted: 02/25/2016] [Indexed: 11/17/2022] Open
Abstract
PURPOSE In this study, a 3D phase correlation algorithm was investigated to test feasibility for use in determining the anatomical changes that occur throughout a patient's radiotherapy treatment. The algorithm determines the transformations between two image volumes through analysis in the Fourier domain and has not previously been used in radiotherapy for 3D registration of CT and CBCT volumes. METHODS Various known transformations were applied to a patient's prostate CT image volume to create 12 different test cases. The mean absolute error and standard deviation were determined by evaluating the difference between the known contours and those calculated from the registration process on a point-by-point basis. Similar evaluations were performed on images with increasing levels of noise added. The improvement in structure overlap offered by the algorithm in registering clinical CBCT to CT images was evaluated using the Dice Similarity Coefficient (DSC). RESULTS A mean error of 2.35 (σ = 1.54) mm was calculated for the 12 deformations applied. When increasing levels of noise were introduced to the images, the mean errors were observed to rise up to a maximum increase of 1.77 mm. For CBCT to CT registration, maximum improvements in the DSC of 0.09 and 0.46 were observed for the bladder and rectum, respectively. CONCLUSIONS The Fourier-based 3D phase correlation registration algorithm investigated displayed promising results in CT to CT and CT to CBCT registration, offers potential in terms of efficiency and robustness to noise, and is suitable for use in radiotherapy for monitoring patient anatomy throughout treatment.
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Affiliation(s)
- Daniel Foley
- St. Luke's Radiation Oncology Network, Highfield Road, Rathgar, Dublin 6, Ireland; School of Physics, University College Dublin, Belfield, Dublin 4, Ireland.
| | - Daniel J O'Brien
- St. Luke's Radiation Oncology Network, Highfield Road, Rathgar, Dublin 6, Ireland; School of Physics, University College Dublin, Belfield, Dublin 4, Ireland
| | - Luis León-Vintró
- School of Physics, University College Dublin, Belfield, Dublin 4, Ireland
| | - Brendan McClean
- St. Luke's Radiation Oncology Network, Highfield Road, Rathgar, Dublin 6, Ireland
| | - Peter McBride
- St. Luke's Radiation Oncology Network, Highfield Road, Rathgar, Dublin 6, Ireland
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Lafond C, Simon A, Henry O, Périchon N, Castelli J, Acosta O, de Crevoisier R. Radiothérapie adaptative en routine ? État de l’art : point de vue du physicien médical. Cancer Radiother 2015; 19:450-7. [DOI: 10.1016/j.canrad.2015.06.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2015] [Accepted: 06/01/2015] [Indexed: 12/22/2022]
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Gobeli M, Simon A, Getain M, Leseur J, Lahlou E, Lafond C, Dardelet E, Williaume D, Rigaud B, de Crevoisier R. Bénéfice de la radiothérapie adaptative par bibliothèque de plans de traitement pour les cancers du col utérin ? Cancer Radiother 2015; 19:471-8. [DOI: 10.1016/j.canrad.2015.06.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2015] [Revised: 06/09/2015] [Accepted: 06/12/2015] [Indexed: 11/16/2022]
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Rigaud B, Simon A, Castelli J, Gobeli M, Ospina Arango JD, Cazoulat G, Henry O, Haigron P, De Crevoisier R. Evaluation of deformable image registration methods for dose monitoring in head and neck radiotherapy. BIOMED RESEARCH INTERNATIONAL 2015; 2015:726268. [PMID: 25759821 PMCID: PMC4339705 DOI: 10.1155/2015/726268] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/10/2014] [Revised: 01/16/2015] [Accepted: 01/16/2015] [Indexed: 11/18/2022]
Abstract
In the context of head and neck cancer (HNC) adaptive radiation therapy (ART), the two purposes of the study were to compare the performance of multiple deformable image registration (DIR) methods and to quantify their impact for dose accumulation, in healthy structures. Fifteen HNC patients had a planning computed tomography (CT0) and weekly CTs during the 7 weeks of intensity-modulated radiation therapy (IMRT). Ten DIR approaches using different registration methods (demons or B-spline free form deformation (FFD)), preprocessing, and similarity metrics were tested. Two observers identified 14 landmarks (LM) on each CT-scan to compute LM registration error. The cumulated doses estimated by each method were compared. The two most effective DIR methods were the demons and the FFD, with both the mutual information (MI) metric and the filtered CTs. The corresponding LM registration accuracy (precision) was 2.44 mm (1.30 mm) and 2.54 mm (1.33 mm), respectively. The corresponding LM estimated cumulated dose accuracy (dose precision) was 0.85 Gy (0.93 Gy) and 0.88 Gy (0.95 Gy), respectively. The mean uncertainty (difference between maximal and minimal dose considering all the 10 methods) to estimate the cumulated mean dose to the parotid gland (PG) was 4.03 Gy (SD = 2.27 Gy, range: 1.06-8.91 Gy).
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Affiliation(s)
- Bastien Rigaud
- Université de Rennes 1, LTSI, Campus de Beaulieu, 35000 Rennes, France
- INSERM, U1099, Campus de Beaulieu, 35000 Rennes, France
| | - Antoine Simon
- Université de Rennes 1, LTSI, Campus de Beaulieu, 35000 Rennes, France
- INSERM, U1099, Campus de Beaulieu, 35000 Rennes, France
| | - Joël Castelli
- Université de Rennes 1, LTSI, Campus de Beaulieu, 35000 Rennes, France
- INSERM, U1099, Campus de Beaulieu, 35000 Rennes, France
- Centre Eugene Marquis, Radiotherapy Department, 35000 Rennes, France
| | - Maxime Gobeli
- Centre Eugene Marquis, Radiotherapy Department, 35000 Rennes, France
| | - Juan-David Ospina Arango
- Université de Rennes 1, LTSI, Campus de Beaulieu, 35000 Rennes, France
- INSERM, U1099, Campus de Beaulieu, 35000 Rennes, France
| | - Guillaume Cazoulat
- Université de Rennes 1, LTSI, Campus de Beaulieu, 35000 Rennes, France
- INSERM, U1099, Campus de Beaulieu, 35000 Rennes, France
| | - Olivier Henry
- Centre Eugene Marquis, Radiotherapy Department, 35000 Rennes, France
| | - Pascal Haigron
- Université de Rennes 1, LTSI, Campus de Beaulieu, 35000 Rennes, France
- INSERM, U1099, Campus de Beaulieu, 35000 Rennes, France
| | - Renaud De Crevoisier
- Université de Rennes 1, LTSI, Campus de Beaulieu, 35000 Rennes, France
- INSERM, U1099, Campus de Beaulieu, 35000 Rennes, France
- Centre Eugene Marquis, Radiotherapy Department, 35000 Rennes, France
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Castelli J, Simon A, Louvel G, Henry O, Chajon E, Nassef M, Haigron P, Cazoulat G, Ospina JD, Jegoux F, Benezery K, de Crevoisier R. Impact of head and neck cancer adaptive radiotherapy to spare the parotid glands and decrease the risk of xerostomia. Radiat Oncol 2015; 10:6. [PMID: 25573091 PMCID: PMC4311461 DOI: 10.1186/s13014-014-0318-z] [Citation(s) in RCA: 99] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2014] [Accepted: 12/22/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Large anatomical variations occur during the course of intensity-modulated radiation therapy (IMRT) for locally advanced head and neck cancer (LAHNC). The risks are therefore a parotid glands (PG) overdose and a xerostomia increase. The purposes of the study were to estimate: - the PG overdose and the xerostomia risk increase during a "standard" IMRT (IMRTstd); - the benefits of an adaptive IMRT (ART) with weekly replanning to spare the PGs and limit the risk of xerostomia. MATERIAL AND METHODS Fifteen patients received radical IMRT (70 Gy) for LAHNC. Weekly CTs were used to estimate the dose distributions delivered during the treatment, corresponding either to the initial planning (IMRTstd) or to weekly replanning (ART). PGs dose were recalculated at the fraction, from the weekly CTs. PG cumulated doses were then estimated using deformable image registration. The following PG doses were compared: pre-treatment planned dose, per-treatment IMRTstd and ART. The corresponding estimated risks of xerostomia were also compared. Correlations between anatomical markers and dose differences were searched. RESULTS Compared to the initial planning, a PG overdose was observed during IMRTstd for 59% of the PGs, with an average increase of 3.7 Gy (10.0 Gy maximum) for the mean dose, and of 8.2% (23.9% maximum) for the risk of xerostomia. Compared to the initial planning, weekly replanning reduced the PG mean dose for all the patients (p<0.05). In the overirradiated PG group, weekly replanning reduced the mean dose by 5.1 Gy (12.2 Gy maximum) and the absolute risk of xerostomia by 11% (p<0.01) (30% maximum). The PG overdose and the dosimetric benefit of replanning increased with the tumor shrinkage and the neck thickness reduction (p<0.001). CONCLUSION During the course of LAHNC IMRT, around 60% of the PGs are overdosed of 4 Gy. Weekly replanning decreased the PG mean dose by 5 Gy, and therefore by 11% the xerostomia risk.
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Affiliation(s)
- Joel Castelli
- Department of Radiotherapy, Centre Eugene Marquis, Avenue de la bataille Flandre Dunkerque, F-35000, Rennes, France.
- Rennes University 1, LTSI, Campus de Beaulieu, Rennes, F-35000, France.
- INSERM, U1099, Campus de Beaulieu, Rennes, F-35000, France.
| | - Antoine Simon
- Rennes University 1, LTSI, Campus de Beaulieu, Rennes, F-35000, France.
- INSERM, U1099, Campus de Beaulieu, Rennes, F-35000, France.
| | - Guillaume Louvel
- Department of Radiotherapy, Centre Eugene Marquis, Avenue de la bataille Flandre Dunkerque, F-35000, Rennes, France.
| | - Olivier Henry
- Department of Radiotherapy, Centre Eugene Marquis, Avenue de la bataille Flandre Dunkerque, F-35000, Rennes, France.
| | - Enrique Chajon
- Department of Radiotherapy, Centre Eugene Marquis, Avenue de la bataille Flandre Dunkerque, F-35000, Rennes, France.
| | - Mohamed Nassef
- Rennes University 1, LTSI, Campus de Beaulieu, Rennes, F-35000, France.
- INSERM, U1099, Campus de Beaulieu, Rennes, F-35000, France.
| | - Pascal Haigron
- Rennes University 1, LTSI, Campus de Beaulieu, Rennes, F-35000, France.
- INSERM, U1099, Campus de Beaulieu, Rennes, F-35000, France.
| | - Guillaume Cazoulat
- Rennes University 1, LTSI, Campus de Beaulieu, Rennes, F-35000, France.
- INSERM, U1099, Campus de Beaulieu, Rennes, F-35000, France.
| | - Juan David Ospina
- Rennes University 1, LTSI, Campus de Beaulieu, Rennes, F-35000, France.
- INSERM, U1099, Campus de Beaulieu, Rennes, F-35000, France.
| | | | | | - Renaud de Crevoisier
- Department of Radiotherapy, Centre Eugene Marquis, Avenue de la bataille Flandre Dunkerque, F-35000, Rennes, France.
- Rennes University 1, LTSI, Campus de Beaulieu, Rennes, F-35000, France.
- INSERM, U1099, Campus de Beaulieu, Rennes, F-35000, France.
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