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Image Fusion for Radiosurgery, Neurosurgery and Hypofractionated Radiotherapy.

Inoue HK, Nakajima A, Sato H, Noda SE, Saitoh J, Suzuki Y - Cureus (2015)

Bottom Line: All images are fused and registered on thin sliced CT sections and exactly demarcated targets are planned for treatment.Follow-up images are also able to register on this CT.Exact target changes, including volume, are possible in this fusion system.

View Article: PubMed Central - HTML - PubMed

Affiliation: Dept of Neurosurgery and Radiation Oncology, Institute of Neural Organization and Cyber Center, Kanto Neurosurgical Hospital.

ABSTRACT
Precise target detection is essential for radiosurgery, neurosurgery and hypofractionated radiotherapy because treatment results and complication rates are related to accuracy of the target definition. In skull base tumors and tumors around the optic pathways, exact anatomical evaluation of cranial nerves are important to avoid adverse effects on these structures close to lesions. Three-dimensional analyses of structures obtained with MR heavy T2-images and image fusion with CT thin-sliced sections are desirable to evaluate fine structures during radiosurgery and microsurgery. In vascular lesions, angiography is most important for evaluations of whole structures from feeder to drainer, shunt, blood flow and risk factors of bleeding. However, exact sites and surrounding structures in the brain are not shown on angiography. True image fusions of angiography, MR images and CT on axial planes are ideal for precise target definition. In malignant tumors, especially recurrent head and neck tumors, biologically active areas of recurrent tumors are main targets of radiosurgery. PET scan is useful for quantitative evaluation of recurrences. However, the examination is not always available at the time of radiosurgery. Image fusion of MR diffusion images with CT is always available during radiosurgery and useful for the detection of recurrent lesions. All images are fused and registered on thin sliced CT sections and exactly demarcated targets are planned for treatment. Follow-up images are also able to register on this CT. Exact target changes, including volume, are possible in this fusion system. The purpose of this review is to describe the usefulness of image fusion for 1) skull base, 2) vascular, 3) recurrent target detection, and 4) follow-up analyses in radiosurgery, neurosurgery and hypofractionated radiotherapy.

No MeSH data available.


Related in: MedlinePlus

Detection of marginal recurrence.A follow-up MR image after treatment showing recurrence (B) compared with the image before treatment (A). Image fusion using thin-sliced CT (based on the image from radiosurgery, center) enabled us to detect the treated part of the tumor (green) and the recurrent tumor from the medial margin of the tumor (arrows) on identical axial and coronal images (right). The treated part decreased in volume, as is shown in follow-up MR images fused with the image before radiosurgery.
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FIG14: Detection of marginal recurrence.A follow-up MR image after treatment showing recurrence (B) compared with the image before treatment (A). Image fusion using thin-sliced CT (based on the image from radiosurgery, center) enabled us to detect the treated part of the tumor (green) and the recurrent tumor from the medial margin of the tumor (arrows) on identical axial and coronal images (right). The treated part decreased in volume, as is shown in follow-up MR images fused with the image before radiosurgery.

Mentions: Evaluation and targeting of marginal recurrence, excluding the controlled part, is helpful to avoid the adverse effects of retreatment for recurrence after radiosurgery. Differential detection of the controlled part and marginal recurrence can be easily detected with the image fusion analyses as shown in Figure 14.


Image Fusion for Radiosurgery, Neurosurgery and Hypofractionated Radiotherapy.

Inoue HK, Nakajima A, Sato H, Noda SE, Saitoh J, Suzuki Y - Cureus (2015)

Detection of marginal recurrence.A follow-up MR image after treatment showing recurrence (B) compared with the image before treatment (A). Image fusion using thin-sliced CT (based on the image from radiosurgery, center) enabled us to detect the treated part of the tumor (green) and the recurrent tumor from the medial margin of the tumor (arrows) on identical axial and coronal images (right). The treated part decreased in volume, as is shown in follow-up MR images fused with the image before radiosurgery.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4494462&req=5

FIG14: Detection of marginal recurrence.A follow-up MR image after treatment showing recurrence (B) compared with the image before treatment (A). Image fusion using thin-sliced CT (based on the image from radiosurgery, center) enabled us to detect the treated part of the tumor (green) and the recurrent tumor from the medial margin of the tumor (arrows) on identical axial and coronal images (right). The treated part decreased in volume, as is shown in follow-up MR images fused with the image before radiosurgery.
Mentions: Evaluation and targeting of marginal recurrence, excluding the controlled part, is helpful to avoid the adverse effects of retreatment for recurrence after radiosurgery. Differential detection of the controlled part and marginal recurrence can be easily detected with the image fusion analyses as shown in Figure 14.

Bottom Line: All images are fused and registered on thin sliced CT sections and exactly demarcated targets are planned for treatment.Follow-up images are also able to register on this CT.Exact target changes, including volume, are possible in this fusion system.

View Article: PubMed Central - HTML - PubMed

Affiliation: Dept of Neurosurgery and Radiation Oncology, Institute of Neural Organization and Cyber Center, Kanto Neurosurgical Hospital.

ABSTRACT
Precise target detection is essential for radiosurgery, neurosurgery and hypofractionated radiotherapy because treatment results and complication rates are related to accuracy of the target definition. In skull base tumors and tumors around the optic pathways, exact anatomical evaluation of cranial nerves are important to avoid adverse effects on these structures close to lesions. Three-dimensional analyses of structures obtained with MR heavy T2-images and image fusion with CT thin-sliced sections are desirable to evaluate fine structures during radiosurgery and microsurgery. In vascular lesions, angiography is most important for evaluations of whole structures from feeder to drainer, shunt, blood flow and risk factors of bleeding. However, exact sites and surrounding structures in the brain are not shown on angiography. True image fusions of angiography, MR images and CT on axial planes are ideal for precise target definition. In malignant tumors, especially recurrent head and neck tumors, biologically active areas of recurrent tumors are main targets of radiosurgery. PET scan is useful for quantitative evaluation of recurrences. However, the examination is not always available at the time of radiosurgery. Image fusion of MR diffusion images with CT is always available during radiosurgery and useful for the detection of recurrent lesions. All images are fused and registered on thin sliced CT sections and exactly demarcated targets are planned for treatment. Follow-up images are also able to register on this CT. Exact target changes, including volume, are possible in this fusion system. The purpose of this review is to describe the usefulness of image fusion for 1) skull base, 2) vascular, 3) recurrent target detection, and 4) follow-up analyses in radiosurgery, neurosurgery and hypofractionated radiotherapy.

No MeSH data available.


Related in: MedlinePlus