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Samanci Y, Askeroglu MO, Düzkalir AH, Peker S. Assessing the impact of distortion correction on Gamma Knife radiosurgery for multiple metastasis: Volumetric and dosimetric analysis. BRAIN & SPINE 2024; 4:102791. [PMID: 38584868 PMCID: PMC10995810 DOI: 10.1016/j.bas.2024.102791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 03/11/2024] [Accepted: 03/19/2024] [Indexed: 04/09/2024]
Abstract
Introduction Magnetic resonance imaging (MRI) is a robust neuroimaging technique and is the preferred method for stereotactic radiosurgery (SRS) planning. However, MRI data always contain distortions caused by hardware and patient factors. Research question Can these distortions potentially compromise the effectiveness and safety of SRS treatments? Material and methods Twenty-six MR datasets with multiple metastatic brain tumors (METs) used for Gamma Knife radiosurgery (GKRS) were retrospectively evaluated. A commercially available software was used for distortion correction. Geometrical agreement between corrected and uncorrected tumor volumes was evaluated using MacDonald criteria, Euclidian distance, and Dice similarity coefficient (DSC). SRS plans were generated using uncorrected tumor volumes, which were assessed to determine their coverage of the corrected tumor volumes. Results The median target volume was 0.38 cm3 (range,0.01-12.38 cm3). A maximum displacement of METs of up to 2.87 mm and a median displacement of 0.55 mm (range,0.1-2.87 mm) were noted. The median DSC between uncorrected and corrected MRI was 0.92, and the most concerning case had a DSC of 0.46. Although all plans met the optimization criterion of at least 98% of the uncorrected tumor volume (median 99.55%, range 98.1-100%) receiving at least 100% of the prescription dose, the percent of the corrected tumor volume receiving the total prescription dose was a median of 95.45% (range,23.1-99.5%). Discussion and conclusion MRI distortion, though visually subtle, has significant implications for SRS planning. Regular utilization of corrected MRI is recommended for SRS planning as distortion is sometimes enough to cause a volumetric miss of SRS targets.
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Affiliation(s)
- Yavuz Samanci
- Department of Neurosurgery, Koc University School of Medicine, Istanbul, Turkey
- Gamma Knife Center, Department of Neurosurgery, Koc University Hospital, Istanbul, Turkey
| | - M. Orbay Askeroglu
- Gamma Knife Center, Department of Neurosurgery, Koc University Hospital, Istanbul, Turkey
| | - Ali Haluk Düzkalir
- Gamma Knife Center, Department of Neurosurgery, Koc University Hospital, Istanbul, Turkey
- Department of Neurosurgery, Koc University Hospital, Istanbul, Turkey
| | - Selcuk Peker
- Department of Neurosurgery, Koc University School of Medicine, Istanbul, Turkey
- Gamma Knife Center, Department of Neurosurgery, Koc University Hospital, Istanbul, Turkey
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Jung H, Yoon J, Dona Lemus O, Tanny S, Zhou Y, Milano M, Usuki K, Hardy S, Zheng D. Dosimetric evaluation of LINAC-based single-isocenter multi-target multi-fraction stereotactic radiosurgery with more than 20 targets: comparing MME, HyperArc, and RapidArc. Radiat Oncol 2024; 19:19. [PMID: 38326813 PMCID: PMC10848506 DOI: 10.1186/s13014-024-02416-7] [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: 12/08/2023] [Accepted: 01/31/2024] [Indexed: 02/09/2024] Open
Abstract
BACKGROUND To compare the dosimetric quality of three widely used techniques for LINAC-based single-isocenter multi-target multi-fraction stereotactic radiosurgery (fSRS) with more than 20 targets: dynamic conformal arc (DCA) in BrainLAB Multiple Metastases Elements (MME) module and volumetric modulated arc therapy (VMAT) using RapidArc (RA) and HyperArc (HA) in Varian Eclipse. METHODS Ten patients who received single-isocenter fSRS with 20-37 targets were retrospectively replanned using MME, RA, and HA. Various dosimetric parameters, such as conformity index (CI), Paddick CI, gradient index (GI), normal brain dose exposures, maximum organ-at-risk (OAR) doses, and beam-on times were extracted and compared among the three techniques. Wilcoxon signed-rank test was used for statistical analysis. RESULTS All plans achieved the prescribed dose coverage goal of at least 95% of the planning target volume (PTV). HA plans showed superior conformity compared to RA and MME plans. MME plans showed superior GI compared to RA and HA plans. RA plans resulted in significantly higher low and intermediate dose exposure to normal brain compared to HA and MME plans, especially for lower doses of ≥ 8Gy and ≥ 5Gy. No significant differences were observed in the maximum dose to OARs among the three techniques. The beam-on time of MME plans was about two times longer than RA and HA plans. CONCLUSIONS HA plans achieved the best conformity, while MME plans achieved the best dose fall-off for LINAC-based single-isocenter multi-target multi-fraction SRS with more than 20 targets. The choice of the optimal technique should consider the trade-offs between dosimetric quality, beam-on time, and planning effort.
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Affiliation(s)
- Hyunuk Jung
- Department of Radiation Oncology, University of Rochester, Rochester, NY, USA.
| | - Jihyung Yoon
- Department of Radiation Oncology, University of Rochester, Rochester, NY, USA
| | - Olga Dona Lemus
- Department of Radiation Oncology, University of Rochester, Rochester, NY, USA
| | - Sean Tanny
- Department of Radiation Oncology, University of Rochester, Rochester, NY, USA
| | - Yuwei Zhou
- Department of Radiation Oncology, University of Rochester, Rochester, NY, USA
| | - Michael Milano
- Department of Radiation Oncology, University of Rochester, Rochester, NY, USA
| | - Kenneth Usuki
- Department of Radiation Oncology, University of Rochester, Rochester, NY, USA
| | - Sara Hardy
- Department of Radiation Oncology, University of Rochester, Rochester, NY, USA
| | - Dandan Zheng
- Department of Radiation Oncology, University of Rochester, Rochester, NY, USA
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Hiscoke K, Leong A, Hogan AM, Cowley I. Plan quality assessment of modern radiosurgery technologies in the treatment of multiple brain metastases. Biomed Phys Eng Express 2024; 10:025021. [PMID: 38262047 DOI: 10.1088/2057-1976/ad218f] [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: 09/21/2023] [Accepted: 01/23/2024] [Indexed: 01/25/2024]
Abstract
Stereotactic radiosurgery (SRS) of multiple brain metastases has evolved over the last 40 years allowing centres to treat an increasing number of brain metastases in a single treatment fraction. HyperArcTMplanning optimisation technique is one such development that streamlines the treatment of multiple metastases with a single isocentre. Several studies have investigated the plan quality of HyperArc compared to CyberKnife or Gamma Knife, however there are limited number of studies that include all three modalities. It is the aim of this study to provide an assessment of plan quality between the three SRS platforms across ten patients with multiple brain metastases ranging from three to eight metastases per patient. Strict planning workflows were established to avoid bias towards any particular treatment platform. Plan quality was assessed through dose to organs at risk, Paddick conformity index (PCI), gradient index (GI), global efficiency index (Gη) and dose to normal brain tissue. Results from this study found mean PCI observed across Gamma Knife plans was significantly lower than HyperArc and CyberKnife. HyperArc plans observed significantly shorter beam-on times which were 10 to 20 times faster than CyberKnife and Gamma Knife plans. Gamma Knife and CyberKnife were found to produce plans with significantly superior GI, global efficiency index and the volume of healthy brain receiving greater than 12 Gy (V12Gy) when compared to HyperArc plans. Lesion volume was seen to influence the relative difference in dose metrics between systems. The study revealed that all three treatment modalities produced high quality plans for the SRS treatment of multiple brain metastases, each with respective benefits and limitations.
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Affiliation(s)
- K Hiscoke
- Bowen Icon Cancer Centre, Wellington, New Zealand
| | - A Leong
- Bowen Icon Cancer Centre, Wellington, New Zealand
- Department of Radiation Therapy, University of Otago, Wellington, New Zealand
| | - A M Hogan
- Department of Medical Physics, The Harley Street Clinic, London, United Kingdom
| | - I Cowley
- Department of Medical Physics, The Harley Street Clinic, London, United Kingdom
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Li F, Mail N, Stefania diMayorca M, McCaw TJ, Ozhasoglu C, Lalonde R, Chang J, Huq MS. Single isocenter HyperArc treatment of multiple intracranial metastases: Targeting accuracy. J Appl Clin Med Phys 2024; 25:e14234. [PMID: 38059673 PMCID: PMC10795440 DOI: 10.1002/acm2.14234] [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: 05/01/2023] [Revised: 10/12/2023] [Accepted: 10/25/2023] [Indexed: 12/08/2023] Open
Abstract
PURPOSE/OBJECTIVES (A) To examine the alignment accuracy of CBCT guidance for brain metastases with off centered isocenters, (B) to test dose delivery and targeting accuracy for single isocenter treatments with multiple brain metastases. We report the results of the end-to-end test for Truebeam stereotactic radiosurgery (SRS). MATERIALS/METHODS An anthropomorphic CT head phantom was drilled with five MOSFET inserts and two PTW Pinpoint chamber inserts. The phantom was simulated, planned, and delivered. For the purpose of comparing the accuracy of alignment, CBCTs were acquired with the isocenter centered and offset superiorly 8 cm, inferiorly 8 cm, anteriorly 7 cm, posteriorly 7 cm, and right 5 cm. There were six degrees of freedom corrections applied to the plans, as well as intentional rotational and translational errors for dose comparisons. Dose accuracy checks were performed with MOSFET and PTW Pinpoint chamber, and targeting accuracy was assessed with GafChromic films. RESULT (A) Compared to centered CBCT, off-centered CBCT scan showed some alignment errors, with a maximum difference of 0.6-degree pitch and 0.9 mm translation when the phantom was placed 8 cm inferior off center. (B) For the single isocenter plan, measured doses of the five MOSFET were 95%-100% of the planned dose, whereas the multiple isocenter plans were 96%-100%. With intentional setup errors of 1-degree pitch, doses were 97.1%-100.4% compared to the perfect setup. The same was found for the two pinpoint chamber readings with 1-degree rotation and 1 mm translation. (C) Targeting accuracy for targets at the isocenter is 0.67 mm, within the machine specification of 0.75 mm. Targeting accuracy for isocenters 6-12 cm away from the target is in the range 0.67-1.18 mm. CONCLUSION (A) Single isocenter HyperArc treatments for multiple brain metastases are feasible and targeting accuracy is clinically acceptable. (B) The vertex in a cranial scan is very important for proper alignment.
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Affiliation(s)
- Fang Li
- Radiation OncologyUPMC Hillman Cancer CenterPittsburghPennsylvaniaUSA
| | - Noor Mail
- Radiation OncologyUPMC Hillman Cancer CenterPittsburghPennsylvaniaUSA
| | | | - Travis J. McCaw
- Radiation OncologyUPMC Hillman Cancer CenterPittsburghPennsylvaniaUSA
| | - Cihat Ozhasoglu
- Radiation OncologyUPMC Hillman Cancer CenterPittsburghPennsylvaniaUSA
| | - Ronald Lalonde
- Radiation OncologyUPMC Hillman Cancer CenterPittsburghPennsylvaniaUSA
| | - Jina Chang
- Radiation OncologyUPMC Hillman Cancer CenterPittsburghPennsylvaniaUSA
| | - Mohammed Saiful Huq
- Radiation OncologyUniversity of Pittsburgh School of Medicine and UPMC Hillman Cancer CenterPittsburghPennsylvaniaUSA
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Yu H, Zhang Z, Xia W, Liu Y, Liu L, Luo W, Zhou J, Zhang Y. DeSeg: auto detector-based segmentation for brain metastases. Phys Med Biol 2023; 68. [PMID: 36535028 DOI: 10.1088/1361-6560/acace7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022]
Abstract
Delineation of brain metastases (BMs) is a paramount step in stereotactic radiosurgery treatment. Clinical practice has specific expectation on BM auto-delineation that the method is supposed to avoid missing of small lesions and yield accurate contours for large lesions. In this study, we propose a novel coarse-to-fine framework, named detector-based segmentation (DeSeg), to incorporate object-level detection into pixel-wise segmentation so as to meet the clinical demand. DeSeg consists of three components: a center-point-guided single-shot detector to localize the potential lesion regions, a multi-head U-Net segmentation model to refine contours, and a data cascade unit to connect both tasks smoothly. Performance on tiny lesions is measured by the object-based sensitivity and positive predictive value (PPV), while that on large lesions is quantified by dice similarity coefficient (DSC), average symmetric surface distance (ASSD) and 95% Hausdorff distance (HD95). Besides, computational complexity is also considered to study the potential of method in real-time processing. This study retrospectively collected 240 BM patients with Gadolinium injected contrast-enhanced T1-weighted magnetic resonance imaging (T1c-MRI), which were randomly split into training, validating and testing datasets (192, 24 and 24 scans, respectively). The lesions in the testing dataset were further divided into two groups based on the volume size (smallS: ≤1.5 cc,N= 88; largeL: > 1.5 cc,N= 15). On average, DeSeg yielded a sensitivity of 0.91 and a PPV of 0.77 on S group, and a DSC of 0.86, an ASSD 0f 0.76 mm and a HD95 of 2.31 mm onLgroup. The results indicated that DeSeg achieved leading sensitivity and PPV for tiny lesions as well as segmentation metrics for large ones. After our clinical validation, DeSeg showed competitive segmentation performance while kept faster processing speed comparing with existing 3D models.
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Affiliation(s)
- Hui Yu
- College of Computer Science, Sichuan University, Chengdu, 610065, People's Republic of China
| | - Zhongzhou Zhang
- College of Computer Science, Sichuan University, Chengdu, 610065, People's Republic of China
| | - Wenjun Xia
- College of Computer Science, Sichuan University, Chengdu, 610065, People's Republic of China
| | - Yan Liu
- College of Electrical Engineering, Sichuan University, Chengdu, 610065, People's Republic of China
| | - Lunxin Liu
- Department of Neurosurgery, West China Hospital of Sichuan University, Chengdu, 610044, People's Republic of China
| | - Wuman Luo
- School of Applied Sciences, Macao Polytechnic University, Macao, 999078, People's Republic of China
| | - Jiliu Zhou
- College of Computer Science, Sichuan University, Chengdu, 610065, People's Republic of China
| | - Yi Zhang
- School of Cyber Science and Engineering, Sichuan University, Chengdu, 610065, People's Republic of China
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Rogers SJ, Lomax N, Alonso S, Lazeroms T, Riesterer O. Radiosurgery for Five to Fifteen Brain Metastases: A Single Centre Experience and a Review of the Literature. Front Oncol 2022; 12:866542. [PMID: 35619914 PMCID: PMC9128547 DOI: 10.3389/fonc.2022.866542] [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: 01/31/2022] [Accepted: 03/07/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose Stereotactic radiosurgery (SRS) is now mainstream for patients with 1-4 brain metastases however the management of patients with 5 or more brain metastases remains controversial. Our aim was to evaluate the clinical outcomes of patients with 5 or more brain metastases and to compare with published series as a benchmarking exercise. Methods Patients with 5 or more brain metastases treated with a single isocentre dynamic conformal arc technique on a radiosurgery linac were identified from the institutional database. Endpoints were local control, distant brain failure, leptomeningeal disease and overall survival. Dosimetric data were extracted from the radiosurgery plans. Series reporting outcomes following SRS for multiple brain metastases were identified by a literature search. Results 36 patients, of whom 35 could be evaluated, received SRS for 5 or more brain metastases between February 2015 and October 2021. 25 patients had 5-9 brain metastases (group 1) and 10 patients had 10-15 brain metastases (group 2). The mean number of brain metastases in group 1 was 6.3 (5-9) and 12.3 (10-15) in group 2. The median cumulative irradiated volume was 4.6 cm3 (1.25-11.01) in group 1 and 7.2 cm3 (2.6-11.1) in group 2. Median follow-up was 12 months. At last follow-up, local control rates per BM were 100% and 99.8% as compared with a median of 87% at 1 year in published series. Distant brain failure was 36% and 50% at a median interval of 5.2 months and 7.4 months after SRS in groups 1 and 2 respectively and brain metastasis velocity at 1 year was similar in both groups (9.7 and 11). 8/25 patients received further SRS and 7/35 patients received whole brain radiotherapy. Median overall survival was 10 months in group 1 and 15.7 months in group 2, which compares well with the 7.5 months derived from the literature. There was one neurological death in group 2, leptomeningeal disease was rare (2/35) and there were no cases of radionecrosis. Conclusion With careful patient selection, overall survival following SRS for multiple brain metastases is determined by the course of the extracranial disease. SRS is an efficacious and safe modality that can achieve intracranial disease control and should be offered to patients with 5 or more brain metastases and a constellation of good prognostic factors.
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Affiliation(s)
- Susanne J Rogers
- Radiation Oncology Center KSA-KSB, Canton Hospital Aarau, Aarau, Switzerland
| | - Nicoletta Lomax
- Radiation Oncology Center KSA-KSB, Canton Hospital Aarau, Aarau, Switzerland
| | - Sara Alonso
- Radiation Oncology Center KSA-KSB, Canton Hospital Aarau, Aarau, Switzerland
| | - Tessa Lazeroms
- Radiation Oncology Center KSA-KSB, Canton Hospital Aarau, Aarau, Switzerland
| | - Oliver Riesterer
- Radiation Oncology Center KSA-KSB, Canton Hospital Aarau, Aarau, Switzerland
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