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Robotics in the neurosurgical treatment of glioma

Identifieur interne : 003719 ( Ncbi/Merge ); précédent : 003718; suivant : 003720

Robotics in the neurosurgical treatment of glioma

Auteurs : Garnette R. Sutherland [Canada] ; Yaser Maddahi [Canada] ; Liu Shi Gan [Canada] ; Sanju Lama [Canada] ; Kourosh Zareinia [Canada]

Source :

RBID : PMC:4338497

Abstract

Background:

The treatment of glioma remains a significant challenge with high recurrence rates, morbidity, and mortality. Merging image guided robotic technology with microsurgery adds a new dimension as they relate to surgical ergonomics, patient safety, precision, and accuracy.

Methods:

An image-guided robot, called neuroArm, has been integrated into the neurosurgical operating room, and used to augment the surgical treatment of glioma in 18 patients. A case study illustrates the specialized technical features of a teleoperated robotic system that could well enhance the performance of surgery. Furthermore, unique positional and force information of the bipolar forceps during surgery were recorded and analyzed.

Results:

The workspace of the bipolar forceps in this robot-assisted glioma resection was found to be 25 × 50 × 50 mm. Maximum values of the force components were 1.37, 1.84, and 2.01 N along x, y, and z axes, respectively. The maximum total force was 2.45 N. The results indicate that the majority of the applied forces were less than 0.6 N.

Conclusion:

Robotic surgical systems can potentially increase safety and performance of surgical operation via novel features such as virtual fixtures, augmented force feedback, and haptic high-force warning system. The case study using neuroArm robot to resect a glioma, for the first time, showed the positional information of surgeon's hand movement and tool-tissue interaction forces.


Url:
DOI: 10.4103/2152-7806.151321
PubMed: 25722932
PubMed Central: 4338497

Links toward previous steps (curation, corpus...)


Links to Exploration step

PMC:4338497

Le document en format XML

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<title>Background:</title>
<p>The treatment of glioma remains a significant challenge with high recurrence rates, morbidity, and mortality. Merging image guided robotic technology with microsurgery adds a new dimension as they relate to surgical ergonomics, patient safety, precision, and accuracy.</p>
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<title>Methods:</title>
<p>An image-guided robot, called neuroArm, has been integrated into the neurosurgical operating room, and used to augment the surgical treatment of glioma in 18 patients. A case study illustrates the specialized technical features of a teleoperated robotic system that could well enhance the performance of surgery. Furthermore, unique positional and force information of the bipolar forceps during surgery were recorded and analyzed.</p>
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<title>Results:</title>
<p>The workspace of the bipolar forceps in this robot-assisted glioma resection was found to be 25 × 50 × 50 mm. Maximum values of the force components were 1.37, 1.84, and 2.01 N along x, y, and z axes, respectively. The maximum total force was 2.45 N. The results indicate that the majority of the applied forces were less than 0.6 N.</p>
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<title>Conclusion:</title>
<p>Robotic surgical systems can potentially increase safety and performance of surgical operation via novel features such as virtual fixtures, augmented force feedback, and haptic high-force warning system. The case study using neuroArm robot to resect a glioma, for the first time, showed the positional information of surgeon's hand movement and tool-tissue interaction forces.</p>
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<name sortKey="Maddahi, Yaser" sort="Maddahi, Yaser" uniqKey="Maddahi Y" first="Yaser" last="Maddahi">Yaser Maddahi</name>
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<name sortKey="Gan, Liu Shi" sort="Gan, Liu Shi" uniqKey="Gan L" first="Liu Shi" last="Gan">Liu Shi Gan</name>
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<name sortKey="Zareinia, Kourosh" sort="Zareinia, Kourosh" uniqKey="Zareinia K" first="Kourosh" last="Zareinia">Kourosh Zareinia</name>
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<series>
<title level="j">Surgical Neurology International</title>
<idno type="ISSN">2229-5097</idno>
<idno type="eISSN">2152-7806</idno>
<imprint>
<date when="2015">2015</date>
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<div type="abstract" xml:lang="en">
<sec id="st1">
<title>Background:</title>
<p>The treatment of glioma remains a significant challenge with high recurrence rates, morbidity, and mortality. Merging image guided robotic technology with microsurgery adds a new dimension as they relate to surgical ergonomics, patient safety, precision, and accuracy.</p>
</sec>
<sec id="st2">
<title>Methods:</title>
<p>An image-guided robot, called neuroArm, has been integrated into the neurosurgical operating room, and used to augment the surgical treatment of glioma in 18 patients. A case study illustrates the specialized technical features of a teleoperated robotic system that could well enhance the performance of surgery. Furthermore, unique positional and force information of the bipolar forceps during surgery were recorded and analyzed.</p>
</sec>
<sec id="st3">
<title>Results:</title>
<p>The workspace of the bipolar forceps in this robot-assisted glioma resection was found to be 25 × 50 × 50 mm. Maximum values of the force components were 1.37, 1.84, and 2.01 N along x, y, and z axes, respectively. The maximum total force was 2.45 N. The results indicate that the majority of the applied forces were less than 0.6 N.</p>
</sec>
<sec id="st4">
<title>Conclusion:</title>
<p>Robotic surgical systems can potentially increase safety and performance of surgical operation via novel features such as virtual fixtures, augmented force feedback, and haptic high-force warning system. The case study using neuroArm robot to resect a glioma, for the first time, showed the positional information of surgeon's hand movement and tool-tissue interaction forces.</p>
</sec>
</div>
</front>
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<region type="state">Alberta</region>
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<author>
<name sortKey="Lama, Sanju" sort="Lama, Sanju" uniqKey="Lama S" first="Sanju" last="Lama">Sanju Lama</name>
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<nlm:affiliation>Project NeuroArm, Department of Clinical Neuroscience and The Hotchkiss Brain Institute, University of Calgary, 3280 Hospital Dr NW, Calgary, AB T2N 4Z6, Canada.</nlm:affiliation>
<country xml:lang="fr">Canada</country>
<wicri:regionArea>Project NeuroArm, Department of Clinical Neuroscience and The Hotchkiss Brain Institute, University of Calgary, 3280 Hospital Dr NW, Calgary, AB T2N 4Z6</wicri:regionArea>
<orgName type="university">Université de Calgary</orgName>
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<settlement type="city">Calgary</settlement>
<region type="state">Alberta</region>
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<author>
<name sortKey="Zareinia, Kourosh" sort="Zareinia, Kourosh" uniqKey="Zareinia K" first="Kourosh" last="Zareinia">Kourosh Zareinia</name>
<affiliation wicri:level="4">
<nlm:affiliation>Project NeuroArm, Department of Clinical Neuroscience and The Hotchkiss Brain Institute, University of Calgary, 3280 Hospital Dr NW, Calgary, AB T2N 4Z6, Canada.</nlm:affiliation>
<country xml:lang="fr">Canada</country>
<wicri:regionArea>Project NeuroArm, Department of Clinical Neuroscience and The Hotchkiss Brain Institute, University of Calgary, 3280 Hospital Dr NW, Calgary, AB T2N 4Z6</wicri:regionArea>
<orgName type="university">Université de Calgary</orgName>
<placeName>
<settlement type="city">Calgary</settlement>
<region type="state">Alberta</region>
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<series>
<title level="j">Surgical neurology international</title>
<idno type="ISSN">2229-5097</idno>
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<date when="2015" type="published">2015</date>
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<front>
<div type="abstract" xml:lang="en">The treatment of glioma remains a significant challenge with high recurrence rates, morbidity, and mortality. Merging image guided robotic technology with microsurgery adds a new dimension as they relate to surgical ergonomics, patient safety, precision, and accuracy.</div>
</front>
</TEI>
</pubmed>
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