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Hatamikia S, Elmirad S, Furtado H, Kronreif G, Steiner E, Birkfellner W. Intra-fractional lung tumor motion monitoring using arbitrary gantry angles during radiotherapy treatment. Z Med Phys 2024:S0939-3889(24)00045-X. [PMID: 38599955 DOI: 10.1016/j.zemedi.2024.03.004] [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: 11/11/2023] [Revised: 03/03/2024] [Accepted: 03/25/2024] [Indexed: 04/12/2024]
Abstract
Intensity-based 2D/3D registration using kilo-voltage (kV) and mega-voltage (MV) on-board imaging is a promising approach for real-time tumor motion tracking. So far, the performance of the kV images as well as kV-MV image pairs for 2D/3D registration using only one gantry angle (in anterior-posterior (AP) direction) has been investigated on patient data. In stereotactic body radiation therapy (SBRT), however, various gantry angles are typically used. This study attempts to answer the question of whether automatic 2D/3D registration is possible using kV images as well as kV-MV image pairs for gantry angles other than the AP direction. We also investigated the effect of additional portal MV images paired with kV images to improve 2D/3D registration in extracting cranio-caudal (CC) and AP displacement at arbitrary gantry angles and different fractions. The kV and MV image sequences as well as 3D volume data from five patients suffering from non-small cell lung cancer undergoing SBRT were used. Diaphragm motion served as the reference signal. The CC and AP displacements resulting from the registration results were compared with the corresponding reference motion signal. Pearson correlation coefficients (R value) was used to calculate the similarity measure between reference signal and the extracted displacements resulting from the registration. Signals we found that using 2D/3D registration tumor motion in 5 degrees of freedom (DOF) with kV images and in 6 degrees of freedom with kV-MV image pairs can be extracted for most gantry angles in all patients. Furthermore, our results have shown that the use of kV-MV image pairs increases the overall chance of tumor visibility and therefore leads to more successful extraction of CC as well as AP displacements for almost all gantry angles in all patients. We observed an improvement in registration of at least 0.29% more gantry angle for all patients when we used kV-MV images compared to kV images alone. In addition, an improvement in the R-value was observed in up to 16 fractions in various patients.
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Affiliation(s)
- Sepideh Hatamikia
- Department of Medicine, Danube Private University, Krems, Austria; Austrian Center for Medical Innovation and Technology, Wiener Neustadt, Austria; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
| | - Soraya Elmirad
- Institute for Radiation Oncology and Radiation Therapy, Landesklinikum Wiener Neustadt, Wiener Neustadt, Austria; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Hugo Furtado
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Gernot Kronreif
- Austrian Center for Medical Innovation and Technology, Wiener Neustadt, Austria
| | - Elisabeth Steiner
- Institute for Radiation Oncology and Radiation Therapy, Landesklinikum Wiener Neustadt, Wiener Neustadt, Austria
| | - Wolfgang Birkfellner
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
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Cai W, Fan Q, Li F, He X, Zhang P, Cervino L, Li X, Li T. Markerless motion tracking with simultaneous MV and kV imaging in spine SBRT treatment-a feasibility study. Phys Med Biol 2023; 68:10.1088/1361-6560/acae16. [PMID: 36549010 PMCID: PMC9944511 DOI: 10.1088/1361-6560/acae16] [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: 09/13/2022] [Accepted: 12/22/2022] [Indexed: 12/24/2022]
Abstract
Objective. Motion tracking with simultaneous MV-kV imaging has distinct advantages over single kV systems. This research is a feasibility study of utilizing this technique for spine stereotactic body radiotherapy (SBRT) through phantom and patient studies.Approach. A clinical spine SBRT plan was developed using 6xFFF beams and nine sliding-window IMRT fields. The plan was delivered to a chest phantom on a linear accelerator. Simultaneous MV-kV image pairs were acquired during beam delivery. KV images were triggered at predefined intervals, and synthetic MV images showing enlarged MLC apertures were created by combining multiple raw MV frames with corrections for scattering and intensity variation. Digitally reconstructed radiograph (DRR) templates were generated using high-resolution CBCT reconstructions (isotropic voxel size (0.243 mm)3) as the reference for 2D-2D matching. 3D shifts were calculated from triangulation of kV-to-DRR and MV-to-DRR registrations. To evaluate tracking accuracy, detected shifts were compared to known phantom shifts as introduced before treatment. The patient study included a T-spine patient and an L-spine patient. Patient datasets were retrospectively analyzed to demonstrate the performance in clinical settings.Main results. The treatment plan was delivered to the phantom in five scenarios: no shift, 2 mm shift in one of the longitudinal, lateral and vertical directions, and 2 mm shift in all the three directions. The calculated 3D shifts agreed well with the actual couch shifts, and overall, the uncertainty of 3D detection is estimated to be 0.3 mm. The patient study revealed that with clinical patient image quality, the calculated 3D motion agreed with the post-treatment cone beam CT. It is feasible to automate both kV-to-DRR and MV-to-DRR registrations using a mutual information-based method, and the difference from manual registration is generally less than 0.3 mm.Significance. The MV-kV imaging-based markerless motion tracking technique was validated through a feasibility study. It is a step forward toward effective motion tracking and accurate delivery for spinal SBRT.
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Affiliation(s)
- Weixing Cai
- Memorial Sloan Kettering Cancer Center, Department of Medical Physics, 1275 York Avenue, New York, NY 10065, United States of America
| | - Qiyong Fan
- Memorial Sloan Kettering Cancer Center, Department of Medical Physics, 1275 York Avenue, New York, NY 10065, United States of America
| | - Feifei Li
- Memorial Sloan Kettering Cancer Center, Department of Medical Physics, 1275 York Avenue, New York, NY 10065, United States of America
| | - Xiuxiu He
- Memorial Sloan Kettering Cancer Center, Department of Medical Physics, 1275 York Avenue, New York, NY 10065, United States of America
| | - Pengpeng Zhang
- Memorial Sloan Kettering Cancer Center, Department of Medical Physics, 1275 York Avenue, New York, NY 10065, United States of America
| | - Laura Cervino
- Memorial Sloan Kettering Cancer Center, Department of Medical Physics, 1275 York Avenue, New York, NY 10065, United States of America
| | - Xiang Li
- Memorial Sloan Kettering Cancer Center, Department of Medical Physics, 1275 York Avenue, New York, NY 10065, United States of America
| | - Tianfang Li
- Memorial Sloan Kettering Cancer Center, Department of Medical Physics, 1275 York Avenue, New York, NY 10065, United States of America
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Pop DD, Hopîrtean C, Coşer F, Dan F, Zah T, Fekete Z, Chiş A, Tufăscu G, Udrea A, Mihai A. Implementation of advanced radiotherapy techniques: stereotactic body radiotherapy (SBRT) for oligometastatic patients with lung metastasis - a single institution experience. Med Pharm Rep 2022; 95:410-417. [PMID: 36506614 PMCID: PMC9694750 DOI: 10.15386/mpr-2362] [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: 09/09/2021] [Revised: 11/29/2021] [Accepted: 12/15/2021] [Indexed: 12/15/2022] Open
Abstract
Background and aims The treatment of oligometastatic disease has become common practice as advanced radiotherapy techniques became more available. Lung is one of the main metastatic sites for a majority of cancers and many of these patients present with a limited metastatic disease burden. For these patients, SBRT (Stereotactic Body Radiation Therapy) represents a non-invasive treatment alternative. In this report we present our experience with our first series of patients with limited metastatic disease treated with lung SBRT. The purpose of this paper is to provide a qualitative and quantitative assessment of the lung SBRT treatment process and algorithm leading up to treatment delivery in a community-based radiotherapy department. Methods We have retrospectively reviewed our first series of 41 patients with lung oligometastases from various malignancies, treated using SBRT between March 2019 and December 2020. Demographic, technical and outcome data were analyzed. Results A number of 45 lung metastases (in 41 patients) were treated with SBRT during the specified time period. The median age was 65.7 years old (range 33-83). 16 patients (39%) were treated for multiple lesions and the mean number of treated lesions was 1 (range1-3). Median dose prescribed was 50 Gy /5 fractions (median BED10 =77 Gy). The median intra-fraction displacements were: Vertical (0.23cm), Longitudinal (-0.27 cm), Lateral (-0.1 cm), Pitch [0.22°], Roll [0.15°], Rotation [0.32°]. The median session time was 40 minutes. All patients completed the prescribed course of treatment.Preliminary clinical data were recorded. With a median follow-up of 9 months, local control was recorded in all but one patient. At the last known follow-up, local control was recorded for 39 (85%) out of 45 treated lesions. Conclusion For lung SBRT, the required corrections at the time of treatment delivery are small, as long as strict protocols are implemented. Preliminary data for lung metastasis in oligometastatic patients support SBRT as a viable method of achieving high rates of early local control. These results need to be further confirmed in a larger cohort of patients with longer follow-up.
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Affiliation(s)
- Dan Dumitru Pop
- Department of Radiation Oncology, Medisprof Cancer Center, Cluj-Napoca, Romania
| | - Claudiu Hopîrtean
- Department of Radiation Oncology, Medisprof Cancer Center, Cluj-Napoca, Romania
| | - Flavius Coşer
- Department of Radiation Oncology, Medisprof Cancer Center, Cluj-Napoca, Romania
| | - Florina Dan
- Department of Radiation Oncology, Medisprof Cancer Center, Cluj-Napoca, Romania
| | - Teodor Zah
- IOCN Oncology Institute “Prof. Dr. Ion Chiricuta” Cluj-Napoca, Romania
| | - Zsolt Fekete
- IOCN Oncology Institute “Prof. Dr. Ion Chiricuta” Cluj-Napoca, Romania,Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Aurel Chiş
- Department of Medical Physics, Medisprof Cancer Center, Cluj-Napoca, Romania
| | - Gabriela Tufăscu
- Department of Medical Physics, Medisprof Cancer Center, Cluj-Napoca, Romania
| | - Adrian Udrea
- Department of Medical Oncology, Medisprof Cancer Center, Cluj-Napoca, Romania
| | - Alina Mihai
- Department Radiotherapy, Beacon Hospital, Beacon Court, Sandyford, Dublin, Ireland
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Lee SK, Huang S, Zhang L, Ballangrud AM, Aristophanous M, Cervino Arriba LI, Li G. Accuracy of surface-guided patient setup for conventional radiotherapy of brain and nasopharynx cancer. J Appl Clin Med Phys 2021; 22:48-57. [PMID: 33792186 PMCID: PMC8130230 DOI: 10.1002/acm2.13241] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 02/16/2021] [Accepted: 03/14/2021] [Indexed: 11/25/2022] Open
Abstract
Purpose To evaluate the accuracy of surface‐guided radiotherapy (SGRT) in cranial patient setup by direct comparison between optical surface imaging (OSI) and cone‐beam computed tomography (CBCT), before applying SGRT‐only setup for conventional radiotherapy of brain and nasopharynx cancer. Methods and Materials Using CBCT as reference, SGRT setup accuracy was examined based on 269 patients (415 treatments) treated with frameless cranial stereotactic radiosurgery (SRS) during 2018‐2019. Patients were immobilized in customized head molds and open‐face masks and monitored using OSI during treatment. The facial skin area in planning CT was used as OSI region of interest (ROI) for automatic surface alignment and the skull was used as the landmark for automatic CBCT/CT registration. A 6 degrees of freedom (6DOF) couch was used. Immediately after CBCT setup, an OSI verification image was captured, recording the SGRT setup differences. These differences were analyzed in 6DOFs and as a function of isocenter positions away from the anterior surface to assess OSI‐ROI bias. The SGRT in‐room setup time was estimated and compared with CBCT and orthogonal 2D kilovoltage (2DkV) setups. Results The SGRT setup difference (magnitude) is found to be 1.0 ± 2.5 mm and 0.1˚±1.4˚ on average among 415 treatments and within 5 mm/3˚ with greater than 95% confidence level (P < 0.001). Outliers were observed for very‐posterior isocenters: 15 differences (3.6%) are >5.0mm and 9 (2.2%) are >3.0˚. The setup differences show minor correlations (|r| < 0.45) between translational and rotational DOFs and a minor increasing trend (<1.0 mm) in the anterior‐to‐posterior direction. The SGRT setup time is 0.8 ± 0.3 min, much shorter than CBCT (5 ± 2 min) and 2DkV (2 ± 1 min) setups. Conclusion This study demonstrates that SGRT has sufficient accuracy for fast in‐room patient setup and allows real‐time motion monitoring for beam holding during treatment, potentially useful to guide radiotherapy of brain and nasopharynx cancer with standard fractionation.
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Affiliation(s)
- Sang Kyu Lee
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sheng Huang
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Lei Zhang
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ase M Ballangrud
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michalis Aristophanous
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Laura I Cervino Arriba
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Guang Li
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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Zhang L, Vijayan S, Huang S, Song Y, Li T, Li X, Hipp E, Chan MF, Kuo HC, Tang X, Tang G, Lim SB, Lovelock DM, Ballangrud A, Li G. Commissioning of optical surface imaging systems for cranial frameless stereotactic radiosurgery. J Appl Clin Med Phys 2021; 22:182-190. [PMID: 33779052 PMCID: PMC8130243 DOI: 10.1002/acm2.13240] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Revised: 12/15/2020] [Accepted: 03/08/2021] [Indexed: 11/26/2022] Open
Abstract
Purpose This study aimed to evaluate and compare different system calibration methods from a large cohort of systems to establish a commissioning procedure for surface‐guided frameless cranial stereotactic radiosurgery (SRS) with intrafractional motion monitoring and gating. Using optical surface imaging (OSI) to guide non‐coplanar SRS treatments, the determination of OSI couch‐angle dependency, baseline drift, and gated‐delivered‐dose equivalency are essential. Methods Eleven trained physicists evaluated 17 OSI systems at nine clinical centers within our institution. Three calibration methods were examined, including 1‐level (2D), 2‐level plate (3D) calibration for both surface image reconstruction and isocenter determination, and cube phantom calibration to assess OSI‐megavoltage (MV) isocenter concordance. After each calibration, a couch‐angle dependency error was measured as the maximum registration error within the couch rotation range. A head phantom was immobilized on the treatment couch and the isocenter was set in the middle of the brain, marked with the room lasers. An on‐site reference image was acquired at couch zero, the facial region of interest (ROI) was defined, and static verification images were captured every 10° for 0°–90° and 360°–270°. The baseline drift was assessed with real‐time monitoring of the motionless phantom over 20 min. The gated‐delivered‐dose equivalency was assessed using the electron portal imaging device and gamma test (1%/1mm) in reference to non‐gated delivery. Results The maximum couch‐angle dependency error occurs in longitudinal and lateral directions and is reduced significantly (P < 0.05) from 1‐level (1.3 ± 0.4 mm) to 2‐level (0.8 ± 0.3 mm) calibration. The MV cube calibration does not further reduce the couch‐angle dependency error (0.8 ± 0.2 mm) on average. The baseline drift error plateaus at 0.3 ± 0.1 mm after 10 min. The gated‐delivered‐dose equivalency has a >98% gamma‐test passing rate. Conclusion A commissioning method is recommended using the 3D plate calibration, which is verified by radiation isocenter and validated with couch‐angle dependency, baseline drift, and gated‐delivered‐dose equivalency tests. This method characterizes OSI uncertainties, ensuring motion‐monitoring accuracy for SRS treatments.
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Affiliation(s)
- Lei Zhang
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sarath Vijayan
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sheng Huang
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yulin Song
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Bergen, NJ, USA
| | - Tianfang Li
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Commack, NY, USA
| | - Xiang Li
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Nassau, NY, USA
| | - Elizabeth Hipp
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Monmouth, NJ, USA
| | - Maria F Chan
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Baskin Ridge, NJ, USA
| | - Hsiang-Chi Kuo
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Norwalk, CT, USA
| | - Xiaoli Tang
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Westchester, NY, USA
| | - Grace Tang
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Seng Boh Lim
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Dale Michael Lovelock
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ase Ballangrud
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Guang Li
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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