Clinical Evaluation of Stereotactic Target Localization Using 3-Tesla MRI for Radiosurgery Planning

MacFadden, Derek R.; Zhang, Bei Bei; Brock, Kristy K.; Hodaie, Mojgan; Laperrière, Normand; Schwartz, Michael L.; Tsao, May; Stainsby, Jeffrey A.; Lockwood, Gina; Mikulis, David J.; Ménard, Cynthia

doi:10.1016/j.ijrobp.2009.03.020

Cited by 22 publications

(13 citation statements)

References 32 publications

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“…Geometrical and target localisation were investigated in depth on 3.0 T scanners by MacFadden [42]; Zhang et al [43] proposed an optimized protocol in 3.0 T acquisitions for stereotactic therapy, thus firmly establishing this field strength for RTP use, when available.…”

Section: Mri and Radiosurgerymentioning

confidence: 99%

Review of potential improvements using MRI in the radiotherapy workflow

Torresin

Brambilla

Monti

et al. 2015

Zeitschrift für Medizinische Physik

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Section: Mri and Radiosurgerymentioning

confidence: 99%

Review of potential improvements using MRI in the radiotherapy workflow

Torresin

Brambilla

Monti

et al. 2015

Zeitschrift für Medizinische Physik

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“…Zhang et al [43] developed a geometrically accurate imaging protocol at a 3.0-T scanner for stereotactic radiosurgery. In a comparison between 1.5- and 3.0-T magnets, the same group showed that for two sets of spoiled gradient echo and fast-relaxation fast-spin echo sequences, the mean discrepancy in tumor surface was significantly less than 1 mm, with no differences in delineated volume [43,44]. …”

Section: Technical Challenges For the Use Of Mri For Rt Dose Paintingmentioning

confidence: 99%

Functional MRI for radiotherapy dose painting

Heide

Houweling

Groenendaal

et al. 2012

Magnetic Resonance Imaging

138

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Modern radiation therapy techniques are exceptionally flexible in the deposition of radiation dose in a target volume. Complex distributions of dose can be delivered reliably, so that the tumor is exposed to a high dose, whereas nearby healthy structures can be avoided. As a result, an increase in curative dose is no longer invariably associated with an increased level of toxicity. This modern technology can be exploited further by modulating the required dose in space so as to match the variation in radiation sensitivity in the tumor. This approach is called dose painting. For dose painting to be effective, functional imaging techniques are essential to identify regions in a tumor that require a higher dose. Several techniques are available in nuclear medicine and radiology. In recent years, there has been a considerable research effort concerning the integration of magnetic resonance imaging (MRI) into the external radiotherapy workflow motivated by the superior soft tissue contrast as compared to computed tomography. In MRI, diffusion-weighted MRI reflects the cell density of tissue and thus may indicate regions with a higher tumor load. Dynamic contrast-enhanced MRI reflects permeability of the microvasculature and blood flow, correlated to the oxygenation of the tumor. These properties have impact on its radiation sensitivity. New questions must be addressed when these techniques are applied in radiation therapy: scanning in treatment position requires alternative solutions to the standard patient setup in the choice of receive coils compared to a diagnostic department. This standard positioning also facilitates repeated imaging. The geometrical accuracy of MR images is critical for high-precision radiotherapy. In particular, when multiparametric functional data are used for dose painting, quantification of functional parameters at a high spatial resolution becomes important. In this review, we will address these issues and describe clinical developments in MRI-guided dose painting.

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“…Macfadden had proved 3T MRI could target localization more precisely than 1.5T MRI (13). Even using a 3.0T field strength MRI, it may be difficult to collect signals of some tiny nerves.…”

Section: █ Discussionmentioning

confidence: 99%

Preoperative visualization of cranial nerves in skull base tumor surgery using diffusion tensor imaging technology

Ma¹,

Su²,

Yue³

et al. 2015

Turkish Neurosurgery

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ABSTRACTdiffusion tensor imaging (DTI) technology (17), it is possible now to identify the major brain white matter fibers. However, it is still difficult to achieve imaging of the small fiber bundles such as CNs. A number of recent researches have attempted to identify CNs using high-resolution or high-density DTI in subjects with or without skull base lesions (7,20). The present study aimed to identify CNs in patients with skull base tumor using DTI technology with special parameters and analyze the technological parameters used. It also involved the evaluation of preoperative estimates and intraoperative confirmation of the relationship between nerves and tumor by verifying the accuracy of visualization. █ INTRODUCTIONA dvances in neuroimaging, intraoperative monitoring, and microsurgical technique have shifted the current focus of skull base surgery from preserving life to preserving cranial nerve function. Preoperative planning using 3-dimensional (3D) visualization of image fusion has become an important development trend in skull base surgery. However, exact visualization and identification of cranial nerves (CNs) is still a challenging task with these imaging techniques due to lack of practical technology support, especially during pathological conditions. Thanks to the rapid development of AIm: To visualize cranial nerves (CNs) using diffusion tensor imaging (DTI) with special parameters. This study also involved the evaluation of preoperative estimates and intraoperative confirmation of the relationship between nerves and tumor by verifying the accuracy of visualization. mATERIAl and mEThODS: 3T magnetic resonance imaging scans including 3D-FSPGR, FIeSTA, and DTI were used to collect information from 18 patients with skull base tumor. DTI data were integrated into the 3D slicer for fiber tracking and overlapped anatomic images to determine course of nerves. 3D reconstruction of tumors was achieved to perform neighboring, encasing, and invading relationship between lesion and nerves. RESUlTS:Optic pathway including the optic chiasm could be traced in cases of tuberculum sellae meningioma and hypophysoma (pituitary tumor). The oculomotor nerve, from the interpeduncular fossa out of the brain stem to supraorbital fissure, was clearly visible in parasellar meningioma cases. Meanwhile, cisternal parts of trigeminal nerve and abducens nerve, facial nerve were also imaged well in vestibular schwannomas and petroclival meningioma cases. The 3D-spatial relationship between CNs and skull base tumor estimated preoperatively by tumor modeling and tractography corresponded to the results determined during surgery. CONClUSION:Supported by DTI and 3D slicer, preoperative 3D reconstruction of most CNs related to skull base tumor is feasible in pathological circumstances. We consider DTI Technology to be a useful tool for predicting the course and location of most CNs, and syntopy between them and skull base tumor.

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Clinical Evaluation of Stereotactic Target Localization Using 3-Tesla MRI for Radiosurgery Planning

Cited by 22 publications

References 32 publications

Review of potential improvements using MRI in the radiotherapy workflow

Review of potential improvements using MRI in the radiotherapy workflow

Functional MRI for radiotherapy dose painting

Preoperative visualization of cranial nerves in skull base tumor surgery using diffusion tensor imaging technology

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