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The Zap-X Radiosurgical System in the Treatment of Intracranial Tumors: A Technical Case Report.

Identifieur interne : 000010 ( Main/Exploration ); précédent : 000009; suivant : 000011

The Zap-X Radiosurgical System in the Treatment of Intracranial Tumors: A Technical Case Report.

Auteurs : Longsheng Pan [République populaire de Chine] ; Baolin Qu [République populaire de Chine] ; Jingmin Bai [République populaire de Chine] ; Lichao Huang [République populaire de Chine] ; Jinyuan Wang [République populaire de Chine] ; Chengcheng Wang [République populaire de Chine] ; Xiangkun Dai [République populaire de Chine] ; Georg Weidlich [États-Unis] ; John R. Adler [États-Unis]

Source :

RBID : pubmed:33442727

Abstract

BACKGROUND AND IMPORTANCE

The Zap-X system (Zap Surgical Systems Inc, San Carlos, California) is a radically new surgical robot designed for brain and head and neck radiosurgery. It represents the first new dedicated brain stereotactic radiosurgery platform in almost half a century optimizing the goals of safety, speed, and accuracy. The Zap-X system was used in a required Chinese National Medical Products Administration clinical study. In early January 2020, 2 patients were treated with the Zap-X robot prior to a national COVID-19 lockdown. Both were closely followed via clinical exam and magnetic resonance imaging (MRI) imaging. Prospectively collected data were used to generate this report.

CLINICAL PRESENTATION

Two female patients, each harboring either a trigeminal schwannoma or petroclival meningioma, were treated with the Zap-X robot. Respective tumor volumes were 2.60 and 4.02 cm3. A radiation dose of 13 Gy was prescribed to the 50% isodose line. At 8 mo of follow-up, preoperative symptoms were either resolved or stable and MRI imaging demonstrated a 31% and 56% reduction in lesion volume, respectively. In both patients, symptoms improved, and tumor volumes decreased, whereas no major complication was observed.

CONCLUSION

Given only 2 patients and short-term follow-up, any conclusions about the safety and efficacy of the Zap-X radiosurgery robot are preliminary. However, in the absence of any other published outcomes to date, this small case series may be of interest to many radiosurgical specialists.


DOI: 10.1093/neuros/nyaa550
PubMed: 33442727


Affiliations:


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


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<p>The Zap-X system (Zap Surgical Systems Inc, San Carlos, California) is a radically new surgical robot designed for brain and head and neck radiosurgery. It represents the first new dedicated brain stereotactic radiosurgery platform in almost half a century optimizing the goals of safety, speed, and accuracy. The Zap-X system was used in a required Chinese National Medical Products Administration clinical study. In early January 2020, 2 patients were treated with the Zap-X robot prior to a national COVID-19 lockdown. Both were closely followed via clinical exam and magnetic resonance imaging (MRI) imaging. Prospectively collected data were used to generate this report.</p>
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<p>Two female patients, each harboring either a trigeminal schwannoma or petroclival meningioma, were treated with the Zap-X robot. Respective tumor volumes were 2.60 and 4.02 cm3. A radiation dose of 13 Gy was prescribed to the 50% isodose line. At 8 mo of follow-up, preoperative symptoms were either resolved or stable and MRI imaging demonstrated a 31% and 56% reduction in lesion volume, respectively. In both patients, symptoms improved, and tumor volumes decreased, whereas no major complication was observed.</p>
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   |area=    CovidStanfordV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:33442727
   |texte=   The Zap-X Radiosurgical System in the Treatment of Intracranial Tumors: A Technical Case Report.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:33442727" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a CovidStanfordV1 

Wicri

This area was generated with Dilib version V0.6.38.
Data generation: Tue Feb 2 21:24:25 2021. Site generation: Tue Feb 2 21:26:08 2021