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Geometric inaccuracy and co-registration errors for CT, DynaCT and MRI images used in robotic stereotactic radiosurgery treatment planning. Phys Med 2020; 69:212-222. [PMID: 31918373 DOI: 10.1016/j.ejmp.2019.12.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 11/08/2019] [Accepted: 12/04/2019] [Indexed: 11/21/2022] Open
Abstract
PURPOSE To measure the combined errors due to geometric inaccuracy and image co-registration on secondary images (dynamic CT angiography (dCTA), 3D DynaCT angiography (DynaCTA), and magnetic resonance images (MRI)) that are routinely used to aid in target delineation and planning for stereotactic radiosurgery (SRS). METHODS Three phantoms (one commercial and two in-house built) and two different analysis approaches (commercial and MATLAB based) were used to quantify the magnitude of geometric image distortion and co-registration errors for different imaging modalities within CyberKnife's MultiPlan treatment planning software. For each phantom, the combined errors were reported as a mean target registration error (TRE). The mean TRE's for different intramodality imaging parameters (e.g., mAs, kVp, and phantom set-ups) and for dCTA, DynaCTA, and MRI systems were measured. RESULTS Only X-ray based imaging can be performed with the commercial phantom, and the mean TRE ± standard deviation values were large compared to the in-house analysis using MATLAB. With the 3D printed phantom, even drastic changes in treatment planning CT imaging protocols did not greatly influence the mean TRE (<0.5 mm for a 1 mm slice thickness CT). For all imaging modalities, the largest mean TRE was found on DynaCT, followed by T2-weighted MR images (albeit all <1 mm). CONCLUSIONS The user may overestimate the mean TRE if the commercial phantom and MultiPlan were used solely. The 3D printed phantom design is a sensitive and suitable quality assurance tool for measuring 3D geometric inaccuracy and co-registration errors across all imaging modalities.
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Huang Y, Singer TG, Iv M, Lanzman B, Nair S, Stadler JA, Wang J, Edwards MSB, Grant GA, Cheshier SH, Yeom KW. Ferumoxytol-enhanced MRI for surveillance of pediatric cerebral arteriovenous malformations. J Neurosurg Pediatr 2019; 24:407-414. [PMID: 31323627 DOI: 10.3171/2019.5.peds1957] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 05/03/2019] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Children with intracranial arteriovenous malformations (AVMs) undergo digital DSA for lesion surveillance following their initial diagnosis. However, DSA carries risks of radiation exposure, particularly for the growing pediatric brain and over lifetime. The authors evaluated whether MRI enhanced with a blood pool ferumoxytol (Fe) contrast agent (Fe-MRI) can be used for surveillance of residual or recurrent AVMs. METHODS A retrospective cohort was assembled of children with an established AVM diagnosis who underwent surveillance by both DSA and 3-T Fe-MRI from 2014 to 2016. Two neuroradiologists blinded to the DSA results independently assessed Fe-enhanced T1-weighted spoiled gradient recalled acquisition in steady state (Fe-SPGR) scans and, if available, arterial spin labeling (ASL) perfusion scans for residual or recurrent AVMs. Diagnostic confidence was examined using a Likert scale. Sensitivity, specificity, and intermodality reliability were determined using DSA studies as the gold standard. Radiation exposure related to DSA was calculated as total dose area product (TDAP) and effective dose. RESULTS Fifteen patients were included in this study (mean age 10 years, range 3-15 years). The mean time between the first surveillance DSA and Fe-MRI studies was 17 days (SD 47). Intermodality agreement was excellent between Fe-SPGR and DSA (κ = 1.00) but poor between ASL and DSA (κ = 0.53; 95% CI 0.18-0.89). The sensitivity and specificity for detecting residual AVMs using Fe-SPGR were 100% and 100%, and using ASL they were 72% and 100%, respectively. Radiologists reported overall high diagnostic confidence using Fe-SPGR. On average, patients received two surveillance DSA studies over the study period, which on average equated to a TDAP of 117.2 Gy×cm2 (95% CI 77.2-157.4 Gy×cm2) and an effective dose of 7.8 mSv (95% CI 4.4-8.8 mSv). CONCLUSIONS Fe-MRI performed similarly to DSA for the surveillance of residual AVMs. Future multicenter studies could further investigate the efficacy of Fe-MRI as a noninvasive alternative to DSA for monitoring AVMs in children.
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Affiliation(s)
| | | | - Michael Iv
- 2Department of Radiology, Lucile Packard Children's Hospital, Stanford University School of Medicine
| | - Bryan Lanzman
- 2Department of Radiology, Lucile Packard Children's Hospital, Stanford University School of Medicine
| | | | - James A Stadler
- 5Department of Neurosurgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Jia Wang
- 3Environmental Health and Safety, Stanford University, Stanford, California
| | | | | | - Samuel H Cheshier
- 4Department of Neurosurgery, University of Utah School of Medicine, Salt Lake City, Utah; and
| | - Kristen W Yeom
- 2Department of Radiology, Lucile Packard Children's Hospital, Stanford University School of Medicine
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Holmes OE, Szanto J, Abitbul VT, Al Mansoori T, Al-Qahtani H, Sinclair J, Iancu D, Malone S. Selective and super-selective C-arm based cone beam CT angiography (CBCTA) with DynaCT for CyberKnife radiosurgery planning of intracranial arteriovenous malformations (AVMs). JOURNAL OF RADIOSURGERY AND SBRT 2018; 5:305-313. [PMID: 30538891 PMCID: PMC6255721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Accepted: 06/13/2018] [Indexed: 06/09/2023]
Abstract
BACKGROUND Successful radiosurgery for intracranial arteriovenous malformations (AVMs) requires accurate delineation of the nidus in 3D. Exact targeting and precise equipment is needed to achieve obliteration of the nidus while minimizing toxicity to the surrounding brain. In some micro-AVMs and poorly visible AVMs we have used cone beam CT angiography (CBCTA) with selective and super-selective angiography where a micro-catheter is advanced into the feeding arteries- to assist with nidus definition for CyberKnife radiosurgery planning. METHODS Four patients who had AVMs inadequately visualized with MRI, MRA, CT, CTA, and dynamic CT angiography (dCTA) were identified for selective angiography (2 had super-selective angiography) for CyberKnife radiosurgery. The mean age at the time of treatment was 45 years (range: 22 - 71 years). All patients had suffered prior hemorrhage and were deemed inoperable. Super-selective angiography was done under general anesthesia to minimize motion artefact and the risk of arterial dissection. Angiography was performed using the biplane angiographic suite (ArtisQ; Siemens). Cone beam reconstructions were performed using DynaCT software. For each scan, volumetric data was acquired over 20 seconds in a single rotation of the C-arm mounted flat-panel detector cone-beam CT system. The data set was imported into the CyberKnife TPS and co-registered with the treatment planning CT, T2 MRI and Toshiba dCTA. Delineation of the AVM nidus was performed by the multi-disciplinary AVM team. RESULTS There were no adverse events related to the angiography or radiosurgery treatment. CBCTA data sets created using DynaCT were accurately co-registered with the treatment planning scans in the CyberKnife treatment planning system (Multiplan). For all 4 patients, feeding arteries, draining veins and nidi were clearly visualized and used to develop radiosurgery plans. Mean nidus size was 0.45cc (range: 0.07 - 1.00cc). CONCLUSIONS For intracranial micro-AVMs and AVMs otherwise poorly visualized using DSA, MRA, CTA or dCTA, selective and super-selective CBCTA images (created using DynaCT) can be successfully imported into the CyberKnife TPS to assist in nidus delineation. Advancement of a micro-catheter into the feeding arteries to allow continuous contrast injection during volumetric scanning constitutes super-selective CBCTA. This technique provides superior visualization of micro-AVMs and should be utilized for radiosurgery planning of poorly visualized AVMs.
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Affiliation(s)
- Oliver Edwin Holmes
- Division of Radiation Oncology, Dr. H. Bliss Murphy Cancer Centre, St. John’s, NL, Canada
- Faculty of Medicine, Memorial University of Newfoundland, St. John’s, NL, Canada
- Division of Radiation Oncology, University of Ottawa, Ottawa, ON, Canada
| | - Janos Szanto
- Department of Medical Physics, Ottawa Hospital Cancer Centre, Ottawa, ON, Canada
| | | | - Taleb Al Mansoori
- Radiology Department, College of Medicine and Health Sciences, Al Ain, United Arab Emirates
| | - Hanan Al-Qahtani
- Department of Radiology, University of Ottawa, Ottawa, ON, Canada
| | - John Sinclair
- Department of Neurosurgery, University of Ottawa, Ottawa, ON, Canada
| | - Daniela Iancu
- Department of Radiology, University of Ottawa, Ottawa, ON, Canada
| | - Shawn Malone
- Division of Radiation Oncology, University of Ottawa, Ottawa, ON, Canada
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Turner RC, Lucke-Wold BP, Josiah D, Gonzalez J, Schmidt M, Tarabishy AR, Bhatia S. Stereotactic radiosurgery planning based on time-resolved CTA for arteriovenous malformation: a case report and review of the literature. Acta Neurochir (Wien) 2016; 158:1555-62. [PMID: 27334738 PMCID: PMC4944162 DOI: 10.1007/s00701-016-2874-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2016] [Accepted: 06/02/2016] [Indexed: 02/05/2023]
Abstract
Stereotactic radiosurgery has long been recognized as the optimal form of management for high-grade arteriovenous malformations not amenable to surgical resection. Radiosurgical plans have generally relied upon the integration of stereotactic magnetic resonance angiography (MRA), standard contrast-enhanced magnetic resonance imaging (MRI), or computed tomography angiography (CTA) with biplane digital subtraction angiography (DSA). Current options are disadvantageous in that catheter-based biplane DSA is an invasive test associated with a small risk of complications and perhaps more importantly, the two-dimensional nature of DSA is an inherent limitation in creating radiosurgical contours. The necessity of multiple scans to create DSA contours for radiosurgical planning puts patients at increased risk. Furthermore, the inability to import two-dimensional plans into some radiosurgery programs, such as Cyberknife TPS, limits treatment options for patients. Defining the nidus itself is sometimes difficult in any of the traditional modalities as all draining veins and feeding arteries are included in the images. This sometimes necessitates targeting a larger volume, than strictly necessary, with stereotactic radiosurgery for treatment of the AVM. In this case report, we show the ability to use a less-invasive and three-dimensional form of angiography based on time-lapsed CTA (4D-CTA) rather than traditional DSA for radiosurgical planning. 4D-CTA may allow generation of a series of images, which can show the flow of contrast through the AVM. A review of these series may allow the surgeon to pick and use a volume set that best outlines the nidus with least interference from feeding arteries or draining veins. In addition, 4D-CTA scans can be uploaded into radiosurgery programs and allow three-dimensional targeting. This is the first reported case demonstrating the use of a 4D CTA and an MRI to delineate the AVM nidus for Gamma Knife radiosurgery, with complete obliteration of the nidus over time and subsequent management of associated radiation necrosis with bevacizumab.
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Affiliation(s)
- Ryan C Turner
- Department of Neurosurgery, West Virginia University School of Medicine, One Medical Center Drive, Suite 9183, Morgantown, WV, 26506, USA
- Center for Neuroscience, West Virginia University School of Medicine, Morgantown, WV, 26506, USA
| | - Brandon P Lucke-Wold
- Department of Neurosurgery, West Virginia University School of Medicine, One Medical Center Drive, Suite 9183, Morgantown, WV, 26506, USA
- Center for Neuroscience, West Virginia University School of Medicine, Morgantown, WV, 26506, USA
| | - Darnell Josiah
- Department of Neurosurgery, West Virginia University School of Medicine, One Medical Center Drive, Suite 9183, Morgantown, WV, 26506, USA
- Center for Neuroscience, West Virginia University School of Medicine, Morgantown, WV, 26506, USA
| | - Javier Gonzalez
- Department of Neurology, West Virginia University School of Medicine, Morgantown, WV, 26506, USA
| | - Matthew Schmidt
- Department of Radiology, West Virginia University School of Medicine, Morgantown, WV, 26506, USA
| | - Abdul Rahman Tarabishy
- Department of Radiology, West Virginia University School of Medicine, Morgantown, WV, 26506, USA
| | - Sanjay Bhatia
- Department of Neurosurgery, West Virginia University School of Medicine, One Medical Center Drive, Suite 9183, Morgantown, WV, 26506, USA.
- Center for Neuroscience, West Virginia University School of Medicine, Morgantown, WV, 26506, USA.
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