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He Z, Xu G, Zhang G, Wang Z, Sun J, Li W, Liu D, Tian Y, Huang W, Cai D. Computed tomography and structured light imaging guided orthopedic navigation puncture system: effective reduction of intraoperative image drift and mismatch. Front Surg 2024; 11:1476245. [PMID: 39450295 PMCID: PMC11499228 DOI: 10.3389/fsurg.2024.1476245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2024] [Accepted: 09/23/2024] [Indexed: 10/26/2024] Open
Abstract
Background Image-guided surgical navigation systems are widely regarded as the benchmark for computer-assisted surgical robotic platforms, yet a persistent challenge remains in addressing intraoperative image drift and mismatch. It can significantly impact the accuracy and precision of surgical procedures. Therefore, further research and development are necessary to mitigate this issue and enhance the overall performance of these advanced surgical platforms. Objective The primary objective is to improve the precision of image guided puncture navigation systems by developing a computed tomography (CT) and structured light imaging (SLI) based navigation system. Furthermore, we also aim to quantifying and visualize intraoperative image drift and mismatch in real time and provide feedback to surgeons, ensuring that surgical procedures are executed with accuracy and reliability. Methods A CT-SLI guided orthopedic navigation puncture system was developed. Polymer bandages are employed to pressurize, plasticize, immobilize and toughen the surface of a specimen for surgical operations. Preoperative CT images of the specimen are acquired, a 3D navigation map is reconstructed and a puncture path planned accordingly. During surgery, an SLI module captures and reconstructs the 3D surfaces of both the specimen and a guiding tube for the puncture needle. The SLI reconstructed 3D surface of the specimen is matched to the CT navigation map via two-step point cloud registrations, while the SLI reconstructed 3D surface of the guiding tube is fitted by a cylindrical model, which is in turn aligned with the planned puncture path. The proposed system has been tested and evaluated using 20 formalin-soaked lower limb cadaver specimens preserved at a local hospital. Results The proposed method achieved image registration RMS errors of 0.576 ± 0.146 mm and 0.407 ± 0.234 mm between preoperative CT and intraoperative SLI surface models and between preoperative and postoperative CT surface models. In addition, preoperative and postoperative specimen surface and skeletal drifts were 0.033 ± 0.272 mm and 0.235 ± 0.197 mm respectively. Conclusion The results indicate that the proposed method is effective in reducing intraoperative image drift and mismatch. The system also visualizes intraoperative image drift and mismatch, and provides real time visual feedback to surgeons.
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Affiliation(s)
- Zaopeng He
- The Third Affiliated Hospital and Third School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Lecong Hospital of Shunde, Foshan, China
| | - Guanghua Xu
- Lecong Hospital of Shunde, Foshan, China
- Guangdong Engineering Research Center for Translation of Medical 3D Printing Application, Guangdong Provincial Key Laboratory of Medical Biomechanics, National Key Discipline of Human Anatomy and School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Guodong Zhang
- Department of Orthopedics, Affiliated Hospital of Putian University, Putian, China
| | - Zeyu Wang
- School of Basic Medical Sciences, Yanbian University, Yanbian, China
| | | | - Wei Li
- Lecong Hospital of Shunde, Foshan, China
| | - Dongbo Liu
- Lecong Hospital of Shunde, Foshan, China
| | - Yibin Tian
- College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China
| | - Wenhua Huang
- The Third Affiliated Hospital and Third School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Guangdong Engineering Research Center for Translation of Medical 3D Printing Application, Guangdong Provincial Key Laboratory of Medical Biomechanics, National Key Discipline of Human Anatomy and School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Daozhang Cai
- The Third Affiliated Hospital and Third School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Orthopedic Hospital of Guangdong Province, Academy of Orthopedics Guangdong Province, Guangzhou, China
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Ho JC, Grigsby EM, Damiani A, Liang L, Balaguer JM, Kallakuri S, Tang LW, Barrios-Martinez J, Karapetyan V, Fields D, Gerszten PC, Hitchens TK, Constantine T, Adams GM, Crammond DJ, Capogrosso M, Gonzalez-Martinez JA, Pirondini E. Potentiation of cortico-spinal output via targeted electrical stimulation of the motor thalamus. Nat Commun 2024; 15:8461. [PMID: 39353911 PMCID: PMC11445460 DOI: 10.1038/s41467-024-52477-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Accepted: 09/05/2024] [Indexed: 10/03/2024] Open
Abstract
Cerebral white matter lesions prevent cortico-spinal descending inputs from effectively activating spinal motoneurons, leading to loss of motor control. However, in most cases, the damage to cortico-spinal axons is incomplete offering a potential target for therapies aimed at improving volitional muscle activation. Here we hypothesize that, by engaging direct excitatory connections to cortico-spinal motoneurons, stimulation of the motor thalamus could facilitate activation of surviving cortico-spinal fibers thereby immediately potentiating motor output. To test this hypothesis, we identify optimal thalamic targets and stimulation parameters that enhance upper-limb motor-evoked potentials and grip forces in anesthetized monkeys. This potentiation persists after white matter lesions. We replicate these results in humans during intra-operative testing. We then design a stimulation protocol that immediately improves strength and force control in a patient with a chronic white matter lesion. Our results show that electrical stimulation targeting surviving neural pathways can improve motor control after white matter lesions.
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Affiliation(s)
- Jonathan C Ho
- School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA
| | - Erinn M Grigsby
- Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, USA
| | - Arianna Damiani
- Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lucy Liang
- Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
- Center for the Neural Basis of Cognition, Pittsburgh, PA, USA
| | - Josep-Maria Balaguer
- Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
- Center for the Neural Basis of Cognition, Pittsburgh, PA, USA
| | - Sridula Kallakuri
- Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lilly W Tang
- School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Vahagn Karapetyan
- Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
- Center for the Neural Basis of Cognition, Pittsburgh, PA, USA
| | - Daryl Fields
- Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - Peter C Gerszten
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - T Kevin Hitchens
- Department of Neurobiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Theodora Constantine
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - Gregory M Adams
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - Donald J Crammond
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - Marco Capogrosso
- Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
- Center for the Neural Basis of Cognition, Pittsburgh, PA, USA
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jorge A Gonzalez-Martinez
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Neurobiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Elvira Pirondini
- Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA, USA.
- Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA, USA.
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
- Center for the Neural Basis of Cognition, Pittsburgh, PA, USA.
- University of Pittsburgh Clinical and Translational Science Institute (CTSI), Pittsburgh, PA, USA.
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Spennato P, Di Costanzo M, Mirone G, Cicala D, De Martino L, Onorini N, Ruggiero C, Cinalli G. Image-guided biopsy of intracranial lesions in children, with a small robotic device: a case series. Childs Nerv Syst 2024; 40:1681-1688. [PMID: 38441630 DOI: 10.1007/s00381-024-06349-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 02/28/2024] [Indexed: 05/23/2024]
Abstract
BACKGROUND AND OBJECTIVES Robot-assisted biopsies have gained popularity in the last years. Most robotic procedures are performed with a floor-based robotic arm. Recently, Medtronic Stealth Autoguide, a miniaturized robotic arm that work together with an optical neuronavigation system, was launched. Its application in pediatric cases is relatively unexplored. In this study, we retrospectively report our experience using the Stealth Autoguide, for frameless stereotactic biopsies in pediatric patients. METHODS Pediatric patients who underwent stereotactic biopsy using the Stealth Autoguide cranial robotic platform from July 2020 to May 2023 were included in this study. Clinical, neuroradiological, surgical, and histological data were collected and analyzed. RESULTS Nineteen patients underwent 20 procedures (mean age was 9-year-old, range 1-17). In four patients, biopsy was part of a more complex surgical procedure (laser interstitial thermal therapy - LITT). The most common indication was diffuse intrinsic brain stem tumor, followed by diffuse supratentorial tumor. Nine procedures were performed in prone position, eight in supine position, and three in lateral position. Facial surface registration was adopted in six procedures, skull-fixed fiducials in 14. The biopsy diagnostic tissue acquisition rate was 100% in the patients who underwent only biopsy, while in the biopsy/LITT group, one case was not diagnostic. No patients developed clinically relevant postoperative complications. CONCLUSION The Stealth Autoguide system has proven to be safe, diagnostic, and highly accurate in performing stereotactic biopsies for both supratentorial and infratentorial lesions in the pediatric population.
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Affiliation(s)
- Pietro Spennato
- Department of Neurosciences, Division of Neurosurgery, Santobono-Pausilipon Children's Hospital, Via Mario Fiore 6, 80121, Naples, Italy.
| | - Marianna Di Costanzo
- Department of Neurosciences, Division of Neurosurgery, Santobono-Pausilipon Children's Hospital, Via Mario Fiore 6, 80121, Naples, Italy
- Division of Neurosurgery, Department of Neurosciences, Reproductive and Odontostomatological Sciences, Università degli Studi di Napoli "Federico II", Naples, Italy
| | - Giuseppe Mirone
- Department of Neurosciences, Division of Neurosurgery, Santobono-Pausilipon Children's Hospital, Via Mario Fiore 6, 80121, Naples, Italy
| | - Domenico Cicala
- Department of Neurosciences, Division of Neuroradiology, Santobono-Pausilipon Children's Hospital, Naples, Italy
| | - Lucia De Martino
- Department of Onco-Hematology, Unit of Neuro-oncology, Santobono-Pausilipon Children's Hospital, Naples, Italy
| | - Nicola Onorini
- Department of Neurosciences, Division of Neurosurgery, Santobono-Pausilipon Children's Hospital, Via Mario Fiore 6, 80121, Naples, Italy
| | - Claudio Ruggiero
- Department of Neurosciences, Division of Neurosurgery, Santobono-Pausilipon Children's Hospital, Via Mario Fiore 6, 80121, Naples, Italy
| | - Giuseppe Cinalli
- Department of Neurosciences, Division of Neurosurgery, Santobono-Pausilipon Children's Hospital, Via Mario Fiore 6, 80121, Naples, Italy
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Fayed I, Smit RD, Vinjamuri S, Kang K, Sathe A, Sharan A, Wu C. Robot-Assisted Minimally Invasive Asleep Single-Stage Deep Brain Stimulation Surgery: Operative Technique and Systematic Review. Oper Neurosurg (Hagerstown) 2024; 26:363-371. [PMID: 37888994 DOI: 10.1227/ons.0000000000000977] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 09/16/2023] [Indexed: 10/28/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Robotic assistance has garnered increased use in neurosurgery. Recently, this has expanded to include deep brain stimulation (DBS). Several studies have reported increased accuracy and improved efficiency with robotic assistance, but these are limited to individual robotic platforms with smaller sample sizes or are broader studies on robotics not specific to DBS. Our objectives are to report our technique for robot-assisted, minimally invasive, asleep, single-stage DBS surgery and to perform a meta-analysis comparing techniques from previous studies. METHODS We performed a single-center retrospective review of DBS procedures using a floor-mounted robot with a frameless transient fiducial array registration. We compiled accuracy data (radial entry error, radial target error, and 3-dimensional target error) and efficiency data (operative time, setup time, and total procedure time). We then performed a meta-analysis of previous studies and compared these metrics. RESULTS We analyzed 315 electrodes implanted in 160 patients. The mean radial target error was 0.9 ± 0.5 mm, mean target 3-dimensional error was 1.3 ± 0.7 mm, and mean radial entry error was 1.1 ± 0.8 mm. The mean procedure time (including pulse generator placement) was 182.4 ± 47.8 minutes, and the mean setup time was 132.9 ± 32.0 minutes. The overall complication rate was 8.8% (2.5% hemorrhagic/ischemic, 2.5% infectious, and 0.6% revision). Our meta-analysis showed increased accuracy with floor-mounted over skull-mounted robotic platforms and with fiducial-based registrations over optical registrations. CONCLUSION Our technique for robot-assisted, minimally invasive, asleep, single-stage DBS surgery is safe, accurate, and efficient. Our data, combined with a meta-analysis of previous studies, demonstrate that robotic assistance can provide similar or increased accuracy and improved efficiency compared with traditional frame-based techniques. Our analysis also suggests that floor-mounted robots and fiducial-based registration methods may be more accurate.
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Affiliation(s)
- Islam Fayed
- Department of Neurosurgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia , Pennsylvania , USA
| | - Rupert D Smit
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia , Pennsylvania , USA
| | - Shreya Vinjamuri
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia , Pennsylvania , USA
| | - KiChang Kang
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia , Pennsylvania , USA
| | - Anish Sathe
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia , Pennsylvania , USA
| | - Ashwini Sharan
- Department of Neurosurgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia , Pennsylvania , USA
| | - Chengyuan Wu
- Department of Neurosurgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia , Pennsylvania , USA
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Bao D, Ni S, Chang B, Zhang W, Zhang H, Niu C. Short-term outcomes of robot-assisted minimally invasive surgery for brainstem hemorrhage: A case-control study. Heliyon 2024; 10:e25912. [PMID: 38384554 PMCID: PMC10878924 DOI: 10.1016/j.heliyon.2024.e25912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 01/09/2024] [Accepted: 02/05/2024] [Indexed: 02/23/2024] Open
Abstract
Objective This work focused on investigating if robot-assisted minimally invasive surgery improved middle term vital outcome for primary brainstem hemorrhage (PBSH). Methods This work obtained clinical data from patients with PBSH admitted from July 2019 to August 2021. All cases were classified as surgical or conservative treatment group. The general information, Glasgow coma scale (GCS) score, Glasgow outcome score (GOS), along with survival time in patients 60 days after robot-assisted surgery were recorded and analyzed. Results A prospective analysis was performed on 82 cases meeting eligibility criteria, including 36 from surgical group whereas 46 from the conservative group. Sixty days after onset, the death rate was found to be 19.44% and 50.00% of surgical and conservative groups, separately (cases versus controls, P < 0.05). Furthermore, postoperative GOS and GCS scores of surgical group were significantly higher, and hydrocephalus was lower compared with conservative group. Central fever incidence did not exhibit any significant difference between two groups. Conclusion Robot-assisted PBSH drainage may improve survivorship and reduce the occurrence of hydrocephalus.
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Affiliation(s)
- Dejun Bao
- Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, No. 17 Lujiang Road, Hefei, 230001, Anhui Province, China
- Anhui Province Key Laboratory of Brain Function and Brain Disease, No. 17 Lujiang Road, Hefei, 230001, Anhui Province, China
| | - Shengyuan Ni
- Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, No. 17 Lujiang Road, Hefei, 230001, Anhui Province, China
- Anhui Province Key Laboratory of Brain Function and Brain Disease, No. 17 Lujiang Road, Hefei, 230001, Anhui Province, China
| | - Bowen Chang
- Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, No. 17 Lujiang Road, Hefei, 230001, Anhui Province, China
- Anhui Province Key Laboratory of Brain Function and Brain Disease, No. 17 Lujiang Road, Hefei, 230001, Anhui Province, China
| | - Wang Zhang
- Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, No. 17 Lujiang Road, Hefei, 230001, Anhui Province, China
| | - Hong Zhang
- Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, No. 17 Lujiang Road, Hefei, 230001, Anhui Province, China
| | - Chaoshi Niu
- Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, No. 17 Lujiang Road, Hefei, 230001, Anhui Province, China
- Anhui Province Key Laboratory of Brain Function and Brain Disease, No. 17 Lujiang Road, Hefei, 230001, Anhui Province, China
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Cui Y, Zhou Y, Zhang H, Yuan Y, Wang J, Zhang Z. Application of Glasses-Free Augmented Reality Localization in Neurosurgery. World Neurosurg 2023; 180:e296-e301. [PMID: 37757949 DOI: 10.1016/j.wneu.2023.09.064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 09/15/2023] [Accepted: 09/16/2023] [Indexed: 09/29/2023]
Abstract
OBJECTIVE The accurate localization of intracranial lesions is critical in neurosurgery. Most surgeons locate the vast majority of neurosurgical sites through skull surface markers, combined with neuroimaging examination and marking lines. This project's primary purpose was to develop an augmented reality (AR) technology or tool that can be used for surgical positioning using the naked eye. METHODS Brain models were predesigned with intracranial lesions using computerized tomography scan, and Digital Imaging and Communications in Medicine data were segmented and modeled by 3D slicer software. The processed data were imported into a smartphone 3D viewing software application (Persp 3D) and were used by a Remebot surgical robot. The localization of intracranial lesions was performed, and the AR localization error was calculated compared with standard robot localization. RESULTS After mastering the AR localization registration method, surgeons achieved an average localization error of 1.39 ± 0.82 mm. CONCLUSIONS The error of AR positioning technology in surgical simulation tests based on brain modeling was millimeter level, which has verified the feasibility of clinical application. More efficient registration remains a need that should be addressed.
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Affiliation(s)
- Yahui Cui
- Department of Neurosurgery, Hangzhou Xixi Hospital Affiliated to Zhejiang University School of Medicine, Hangzhou, China
| | - Yupeng Zhou
- Department of Neurosurgery, Hangzhou Xixi Hospital Affiliated to Zhejiang University School of Medicine, Hangzhou, China
| | - Haipeng Zhang
- Department of Neurosurgery, Hangzhou Xixi Hospital Affiliated to Zhejiang University School of Medicine, Hangzhou, China
| | - Yuxiao Yuan
- Department of Radiology, Hangzhou Xixi Hospital Affiliated to Zhejiang University School of Medicine, Hangzhou, China
| | - Juan Wang
- Operating Room, Hangzhou Xixi Hospital Affiliated to Zhejiang University School of Medicine, Hangzhou, China
| | - Zuyong Zhang
- Department of Neurosurgery, Hangzhou Xixi Hospital Affiliated to Zhejiang University School of Medicine, Hangzhou, China.
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Feng Y, Yaming W, Yongzhi S, Penghu W, Hong W, Xiaotong F, Changming W, Sichang C, Guoguang Z. Novel application of robot-guided stereotactic technique on biopsy diagnosis of intracranial lesions. Front Neurol 2023; 14:1173776. [PMID: 37576012 PMCID: PMC10421699 DOI: 10.3389/fneur.2023.1173776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 06/30/2023] [Indexed: 08/15/2023] Open
Abstract
Introduction This study was performed to examine whether there is a link between the application of three types of robot-guided stereotactic biopsy techniques and the diagnostic rate of intracranial lesion biopsy. Methods The study involved 407 patients who underwent robot-guided stereotactic intracranial lesion biopsy at Xuanwu Hospital of Capital Medical University from January 2019 to December 2021. Age, sex, lesion characteristics, lesion distribution, surgical method, and target path depth were assessed for their impact on the biopsy diagnostic rate. Results The patients' mean age was 42.1 years (range, 6 months-82 years). All patients underwent robot-assisted stereotactic brain biopsy using one of three different systems: a ROSA robotic system (n=35), the CAS-R-2 (n=65), or the REMEBOT domestic robotic system (n=307). No significant difference was found in the diagnostic rate of positive histopathological findings or the mean time of surgery among the three biopsy modalities. The diagnostic rate was 93.86%. Multiple linear regression analysis showed that age, sex, and biopsy modality did not affect the diagnostic rate n>0.05), whereas enhancing lesions and smaller-volume lesions (≤l cm3) were significantly correlated with the diagnostic rate (p = 0.01). Lesions located in the suprasellar and pineal regions were significantly associated with the negative diagnostic rate (p<0.05). Conclusion The presence of enhancing lesions, lesion location, and lesion volume significantly affected the diagnostic rate of brain biopsy. Age, sex, lesion depth, and biopsy modality did not significantly affect the diagnostic rate. All three procedures had high safety and effectiveness.
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Affiliation(s)
- Yan Feng
- Department of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
- China National Medical Center for Neurological Diseases, Beijing, China
- Precision Diagnosis and Treatment Center for Nervous System Diseases, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Wang Yaming
- Department of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
- China National Medical Center for Neurological Diseases, Beijing, China
- Precision Diagnosis and Treatment Center for Nervous System Diseases, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Shan Yongzhi
- Department of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
- China National Medical Center for Neurological Diseases, Beijing, China
- Precision Diagnosis and Treatment Center for Nervous System Diseases, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Wei Penghu
- Department of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
- China National Medical Center for Neurological Diseases, Beijing, China
| | - Wang Hong
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Fan Xiaotong
- Department of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
- China National Medical Center for Neurological Diseases, Beijing, China
| | - Wang Changming
- Department of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
- China National Medical Center for Neurological Diseases, Beijing, China
| | - Chen Sichang
- Department of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
- China National Medical Center for Neurological Diseases, Beijing, China
| | - Zhao Guoguang
- Department of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, China
- China International Neuroscience Institute (China-INI), Beijing, China
- China National Medical Center for Neurological Diseases, Beijing, China
- Precision Diagnosis and Treatment Center for Nervous System Diseases, Xuanwu Hospital Capital Medical University, Beijing, China
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