2,568 research outputs found
Advanced cranial navigation
Neurosurgery is performed with extremely low margins of error. Surgical inaccuracy may
have disastrous consequences. The overall aim of this thesis was to improve accuracy in
cranial neurosurgical procedures by the application of new technical aids. Two technical
methods were evaluated: augmented reality (AR) for surgical navigation (Papers I-II) and the
optical technique of diffuse reflectance spectroscopy (DRS) for real-time tissue identification
(Papers III-V).
Minimally invasive skull-base endoscopy has several potential benefits compared to
traditional craniotomy, but approaching the skull base through this route implies that at-risk
organs and surgical targets are covered by bone and out of the surgeonâs direct line of sight.
In Paper I, a new application for AR-navigated endoscopic skull-base surgery, based on an
augmented-reality surgical navigation (ARSN) system, was developed. The accuracy of the
system, defined by mean target registration error (TRE), was evaluated and found to be
0.55±0.24 mm, the lowest value reported error in the literature.
As a first step toward the development of a cranial application for AR
navigation, in Paper II this ARSN system was used to enable insertions of biopsy needles
and external ventricular drainages (EVDs). The technical accuracy (i.e., deviation from the
target or intended path) and efficacy (i.e., insertion time) were assessed on a 3D-printed
realistic, anthropomorphic skull and brain phantom; Thirty cranial biopsies and 10 EVD
insertions were performed. Accuracy for biopsy was 0.8±0.43 mm with a median insertion
time of 149 (87-233) seconds, and for EVD accuracy was 2.9±0.8 mm at the tip with a median
angular deviation of 0.7±0.5° and a median insertion time of 188 (135-400) seconds.
Glial tumors grow diffusely in the brain, and patient survival is correlated with
the extent of tumor removal. Tumor borders are often invisible. Resection beyond borders as
defined by conventional methods may further improve a patientâs prognosis. In Paper III,
DRS was evaluated for discrimination between glioma and normal brain tissue ex vivo. DRS
spectra and histology were acquired from 22 tumor samples and 9 brain tissue samples
retrieved from 30 patients. Sensitivity and specificity for the detection of low-grade gliomas
were 82.0% and 82.7%, respectively, with an AUC of 0.91.
Acute ischemic stroke caused by large vessel occlusion is treated with
endovascular thrombectomy, but treatment failure can occur when clot composition and
thrombectomy technique are mismatched. Intra-procedural knowledge of clot composition
could guide the choice of treatment modality. In Paper IV, DRS, in vivo, was evaluated for
intravascular clot characterization. Three types of clot analogs, red blood cell (RBC)-rich,
fibrin-rich and mixed clots, were injected into the external carotids of a domestic pig. An
intravascular DRS probe was used for in-situ measurements of clots, blood, and vessel walls,
and the spectral data were analyzed. DRS could differentiate clot types, vessel walls, and
blood in vivo (p<0,001). The sensitivity and specificity for detection were 73.8% and 98.8%
for RBC clots, 100% and 100% for mixed clots, and 80.6% and 97.8% for fibrin clots,
respectively.
Paper V evaluated DRS for characterization of human clot composition ex
vivo: 45 clot units were retrieved from 29 stroke patients and examined with DRS and
histopathological evaluation. DRS parameters correlated with clot RBC fraction (R=81,
p<0.001) and could be used for the classification of clot type with sensitivity and specificity
rates for the detection of RBC-rich clots of 0.722 and 0.846, respectively. Applied in an
intravascular probe, DRS may provide intra-procedural information on clot composition to
improve endovascular thrombectomy efficiency
Augmented reality visualization in brain lesions: a prospective randomized controlled evaluation of its potential and current limitations in navigated microneurosurgery
Background: Augmented reality (AR) has the potential to support complex neurosurgical interventions by including visual information seamlessly. This study examines intraoperative visualization parameters and clinical impact of AR in brain tumor surgery.
Methods: Fifty-five intracranial lesions, operated either with AR-navigated microscope (n = 39) or conventional neuronavigation (n = 16) after randomization, have been included prospectively. Surgical resection time, duration/type/mode of AR, displayed objects (n, type), pointer-based navigation checks (n), usability of control, quality indicators, and overall surgical usefulness of AR have been assessed.
Results: AR display has been used in 44.4% of resection time. Predominant AR type was navigation view (75.7%), followed by target volumes (20.1%). Predominant AR mode was picture-in-picture (PiP) (72.5%), followed by 23.3% overlay display. In 43.6% of cases, vision of important anatomical structures has been partially or entirely blocked by AR information. A total of 7.7% of cases used MRI navigation only, 30.8% used one, 23.1% used two, and 38.5% used three or more object segmentations in AR navigation. A total of 66.7% of surgeons found AR visualization helpful in the individual surgical case. AR depth information and accuracy have been rated acceptable (median 3.0 vs. median 5.0 in conventional neuronavigation). The mean utilization of the navigation pointer was 2.6 x /resection hour (AR) vs. 9.7 x /resection hour (neuronavigation); navigation effort was significantly reduced in AR (P < 0.001).
Conclusions: The main benefit of HUD-based AR visualization in brain tumor surgery is the integrated continuous display allowing for pointer-less navigation. Navigation view (PiP) provides the highest usability while blocking the operative field less frequently. Visualization quality will benefit from improvements in registration accuracy and depth impression
Augmented Reality-Assisted Craniotomy for Parasagittal and Convexity En Plaque Meningiomas and Custom-Made Cranio-Plasty: A Preliminary Laboratory Report
Background: This report discusses the utility of a wearable augmented reality platform in neurosurgery for parasagittal and convexity en plaque meningiomas with bone flap removal and custom-made cranioplasty. Methods: A real patient with en plaque cranial vault meningioma with diffuse and extensive dural involvement, extracranial extension into the calvarium, and homogeneous contrast enhancement on gadolinium-enhanced T1-weighted MRI, was selected for this case study. A patient-specific manikin was designed starting with the segmentation of the patientâs preoperative MRI images to simulate a craniotomy procedure. Surgical planning was performed according to the segmented anatomy, and customized bone flaps were designed accordingly. During the surgical simulation stage, the VOSTARS head-mounted display was used to accurately display the planned craniotomy trajectory over the manikin skull. The precision of the craniotomy was assessed based on the evaluation of previously prepared custom-made bone flaps. Results: A bone flap with a radius 0.5 mm smaller than the radius of an ideal craniotomy fitted perfectly over the performed craniotomy, demonstrating an error of less than ±1 mm in the task execution. The results of this laboratory-based experiment suggest that the proposed augmented reality platform helps in simulating convexity en plaque meningioma resection and custom-made cranioplasty, as carefully planned in the preoperative phase. Conclusions: Augmented reality head-mounted displays have the potential to be a useful adjunct in tumor surgical resection, cranial vault lesion craniotomy and also skull base surgery, but more study with large series is needed
SURGICAL NAVIGATION AND AUGMENTED REALITY FOR MARGINS CONTROL IN HEAD AND NECK CANCER
I tumori maligni del distretto testa-collo rappresentano un insieme di lesioni dalle diverse caratteristiche patologiche, epidemiologiche e prognostiche. Per una porzione considerevole di tali patologie, lâintervento chirurgico finalizzato allâasportazione completa del tumore rappresenta lâelemento chiave del trattamento, quandâanche esso includa altre modalitĂ quali la radioterapia e la terapia sistemica.
La qualitĂ dellâatto chirurgico ablativo Ăš pertanto essenziale al fine di garantire le massime chance di cura al paziente. Nellâambito della chirurgia oncologica, la qualitĂ delle ablazioni viene misurata attraverso lâanalisi dello stato dei margini di resezione. Oltre a rappresentare un surrogato della qualitĂ della resezione chirurgica, lo stato dei margini di resezione ha notevoli implicazioni da un punto di vista clinico e prognostico. Infatti, il coinvolgimento dei margini di resezione da parte della neoplasia rappresenta invariabilmente un fattore prognostico sfavorevole, oltre che implicare la necessitĂ di intensificare i trattamenti postchirurgici (e.g., ponendo indicazione alla chemioradioterapia adiuvante), comportando una maggiore tossicitĂ per il paziente. La proporzione di resezioni con margini positivi (i.e., coinvolti dalla neoplasia) nel distretto testa-collo Ăš tra le piĂč elevate in ambito di chirurgia oncologica.
In tale contesto si pone lâobiettivo del dottorato di cui questa tesi riporta i risultati. Le due tecnologie di cui si Ăš analizzata lâutilitĂ in termini di ottimizzazione dello stato dei margini di resezione sono la navigazione chirurgica con rendering tridimensionale e la realtĂ aumentata basata sulla videoproiezione di immagini. Le sperimentazioni sono state svolte parzialmente presso lâUniversitĂ degli Studi di Brescia, parzialmente presso lâAzienda Ospedale UniversitĂ di Padova e parzialmente presso lâUniversity Health Network (Toronto, Ontario, Canada).
I risultati delle sperimentazioni incluse in questo elaborato dimostrano che l'impiego della navigazione chirurgica con rendering tridimensionale nel contesto di procedure oncologiche ablative cervico-cefaliche risulta associata ad un vantaggio significativo in termini di riduzione della frequenza di margini positivi. Al contrario, le tecniche di realtĂ aumentata basata sulla videoproiezione, nell'ambito della sperimentazione preclinica effettuata, non sono risultate associate a vantaggi sufficienti per poter considerare tale tecnologia per la traslazione clinica.Head and neck malignancies are an heterogeneous group of tumors. Surgery represents the mainstay of treatment for the large majority of head and neck cancers, with ablation being aimed at removing completely the tumor. Radiotherapy and systemic therapy have also a substantial role in the multidisciplinary management of head and neck cancers. The quality of surgical ablation is intimately related to margin status evaluated at a microscopic level. Indeed, margin involvement has a remarkably negative effect on prognosis of patients and mandates the escalation of postoperative treatment by adding concomitant chemotherapy to radiotherapy and accordingly increasing the toxicity of overall treatment. The rate of margin involvement in the head and neck is among the highest in the entire field of surgical oncology.
In this context, the present PhD project was aimed at testing the utility of 2 technologies, namely surgical navigation with 3-dimensional rendering and pico projector-based augmented reality, in decreasing the rate of involved margins during oncologic surgical ablations in the craniofacial area. Experiments were performed in the University of Brescia, University of Padua, and University Health Network (Toronto, Ontario, Canada).
The research activities completed in the context of this PhD course demonstrated that surgical navigation with 3-dimensional rendering confers a higher quality to oncologic ablations in the head and neck, irrespective of the open or endoscopic surgical technique. The benefits deriving from this implementation come with no relevant drawbacks from a logistical and practical standpoint, nor were major adverse events observed. Thus, implementation of this technology into the standard care is the logical proposed step forward. However, the genuine presence of a prognostic advantage needs longer and larger study to be formally addressed.
On the other hand, pico projector-based augmented reality showed no sufficient advantages to encourage translation into the clinical setting. Although observing a clear practical advantage deriving from the projection of osteotomy lines onto the surgical field, no substantial benefits were measured when comparing this technology with surgical navigation with 3-dimensional rendering. Yet recognizing a potential value of this technology from an educational standpoint, the performance displayed in the preclinical setting in terms of surgical margins optimization is not in favor of a clinical translation with this specific aim
Visual Perception and Cognition in Image-Guided Intervention
Surgical image visualization and interaction systems can dramatically affect the efficacy and efficiency of surgical training, planning, and interventions. This is even more profound in the case of minimally-invasive surgery where restricted access to the operative field in conjunction with limited field of view necessitate a visualization medium to provide patient-specific information at any given moment. Unfortunately, little research has been devoted to studying human factors associated with medical image displays and the need for a robust, intuitive visualization and interaction interfaces has remained largely unfulfilled to this day. Failure to engineer efficient medical solutions and design intuitive visualization interfaces is argued to be one of the major barriers to the meaningful transfer of innovative technology to the operating room. This thesis was, therefore, motivated by the need to study various cognitive and perceptual aspects of human factors in surgical image visualization systems, to increase the efficiency and effectiveness of medical interfaces, and ultimately to improve patient outcomes. To this end, we chose four different minimally-invasive interventions in the realm of surgical training, planning, training for planning, and navigation: The first chapter involves the use of stereoendoscopes to reduce morbidity in endoscopic third ventriculostomy. The results of this study suggest that, compared with conventional endoscopes, the detection of the basilar artery on the surface of the third ventricle can be facilitated with the use of stereoendoscopes, increasing the safety of targeting in third ventriculostomy procedures. In the second chapter, a contour enhancement technique is described to improve preoperative planning of arteriovenous malformation interventions. The proposed method, particularly when combined with stereopsis, is shown to increase the speed and accuracy of understanding the spatial relationship between vascular structures. In the third chapter, an augmented-reality system is proposed to facilitate the training of planning brain tumour resection. The results of our user study indicate that the proposed system improves subjects\u27 performance, particularly novices\u27, in formulating the optimal point of entry and surgical path independent of the sensorimotor tasks performed. In the last chapter, the role of fully-immersive simulation environments on the surgeons\u27 non-technical skills to perform vertebroplasty procedure is investigated. Our results suggest that while training surgeons may increase their technical skills, the introduction of crisis scenarios significantly disturbs the performance, emphasizing the need of realistic simulation environments as part of training curriculum
Optimization of computer-assisted intraoperative guidance for complex oncological procedures
MenciĂłn Internacional en el tĂtulo de doctorThe role of technology inside the operating room is constantly increasing, allowing surgical procedures previously considered impossible or too risky due to their complexity or limited access. These reliable tools have improved surgical efficiency and safety. Cancer treatment is one of the surgical specialties that has benefited most from these techniques due to its high incidence and the accuracy required for tumor resections with conservative approaches and clear margins.
However, in many cases, introducing these technologies into surgical scenarios is expensive and entails complex setups that are obtrusive, invasive, and increase the operative time. In this thesis, we proposed convenient, accessible, reliable, and non-invasive solutions for two highly complex regions for tumor resection surgeries: pelvis and head and neck. We explored how the introduction of 3D printing, surgical navigation, and augmented reality in these scenarios provided high intraoperative precision.
First, we presented a less invasive setup for osteotomy guidance in pelvic tumor resections based on small patient-specific instruments (PSIs) fabricated with a desktop 3D printer at a low cost. We evaluated their accuracy in a cadaveric study, following a realistic workflow, and obtained similar results to previous studies with more invasive setups. We also identified the ilium as the region more prone to errors.
Then, we proposed surgical navigation using these small PSIs for image-to-patient registration. Artificial landmarks included in the PSIs substitute the anatomical landmarks and the bone surface commonly used for this step, which require additional bone exposure and is, therefore, more invasive. We also presented an alternative and more convenient installation of the dynamic reference frame used to track the patient movements in surgical navigation. The reference frame is inserted in a socket included in the PSIs and can be attached and detached without losing precision and simplifying the installation. We validated the setup in a cadaveric study, evaluating the accuracy and finding the optimal PSI configuration in the three most common scenarios for pelvic tumor resection. The results demonstrated high accuracy, where the main source of error was again incorrect placements of PSIs in regular and homogeneous regions such as the ilium.
The main limitation of PSIs is the guidance error resulting from incorrect placements. To overcome this issue, we proposed augmented reality as a tool to guide PSI installation in the patientâs bone. We developed an application for smartphones and HoloLens 2 that displays the correct position intraoperatively. We measured the placement errors in a conventional and a realistic phantom, including a silicone layer to simulate tissue. The results demonstrated a significant reduction of errors with augmented reality compared to freehand placement, ensuring an installation of the PSI close to the target area.
Finally, we proposed three setups for surgical navigation in palate tumor resections, using optical trackers and augmented reality. The tracking tools for the patient and surgical instruments were fabricated with low-cost desktop 3D printers and designed to provide less invasive setups compared to previous solutions. All setups presented similar results with high accuracy when tested in a 3D-printed patient-specific phantom. They were then validated in the real surgical case, and one of the solutions was applied for intraoperative guidance. Postoperative results demonstrated high navigation accuracy, obtaining optimal surgical outcomes. The proposed solution enabled a conservative surgical approach with a less invasive navigation setup.
To conclude, in this thesis we have proposed new setups for intraoperative navigation in two complex surgical scenarios for tumor resection. We analyzed their navigation precision, defining the optimal configurations to ensure accuracy. With this, we have demonstrated that computer-assisted surgery techniques can be integrated into the surgical workflow with accessible and non-invasive setups. These results are a step further towards optimizing the procedures and continue improving surgical outcomes in complex surgical scenarios.Programa de Doctorado en Ciencia y TecnologĂa BiomĂ©dica por la Universidad Carlos III de MadridPresidente: RaĂșl San JosĂ© EstĂ©par.- Secretario: Alba GonzĂĄlez Ălvarez.- Vocal: Simon Droui
Virtual Reality in Neurosurgery- A Neurostimulator â Based Postgraduate Residency Training: A Novel Step Towards Skillful Young Neurosurgeons
Introduction/Objective: Virtual Reality (VR) is the need of time in every field of life. Recent biotechnological advances have molded the surgeon-computer relationship. Department of Neurosurgery Jinnah Hospital Lahore has updated the postgraduate training program by adding the virtual reality simulator. We aim to explore the current and future roles and applications of VR and simulation in neurosurgical training that may reduce the learning curve, improve conceptual understanding and enhance visuospatial skills.
Materials & Methods: Eight residents were enrolled in this program. They exercised the basic skills of neurosurgery e.g. suction, use of bipolar cautery, handling of CUSA, use of micro scissors, etc., and the automated software recorded each participantâs graph of performance separately. After 1.5 years, they were assessed in real-time on actual patients under the direct supervision of a qualified neurosurgeon. The assessment was done on DOPS (Directly Observed Procedural Skills) Performa.
Results: The results showed that there was a gradual upward learning curve in simulator-based procedures from negative marking to 70% in basic surgical skills and 60% in advanced procedures on average for all the residents whereas the DOPS showed that all residents performed above expectation i.e., 4 or above.
Conclusion: Neurostimulator-based postgraduate training program is opening new horizons for the safe and skillful training of residents. With the advancement of artificial intelligence, its use in training programs will lead to structured and systematic training patterns in the world of neurosurgery
Visualization, navigation, augmentation. The ever-changing perspective of the neurosurgeon
Introduction: The evolution of neurosurgery coincides with the evolution of visualization and navigation. Augmented reality technologies, with their ability to bring digital information into the real environment, have the potential to provide a new, revolutionary perspective to the neurosurgeon. Research question: To provide an overview on the historical and technical aspects of visualization and navigation in neurosurgery, and to provide a systematic review on augmented reality (AR) applications in neurosurgery. Material and methods: We provided an overview on the main historical milestones and technical features of visualization and navigation tools in neurosurgery. We systematically searched PubMed and Scopus databases for AR applications in neurosurgery and specifically discussed their relationship with current visualization and navigation systems, as well as main limitations. Results: The evolution of visualization in neurosurgery is embodied by four magnification systems: surgical loupes, endoscope, surgical microscope and more recently the exoscope, each presenting independent features in terms of magnification capabilities, eye-hand coordination and the possibility to implement additional functions. In regard to navigation, two independent systems have been developed: the frame-based and the frame-less systems. The most frequent application setting for AR is brain surgery (71.6%), specifically neuro-oncology (36.2%) and microscope-based (29.2%), even though in the majority of cases AR applications presented their own visualization supports (66%). Discussion and conclusions: The evolution of visualization and navigation in neurosurgery allowed for the development of more precise instruments; the development and clinical validation of AR applications, have the potential to be the next breakthrough, making surgeries safer, as well as improving surgical experience and reducing costs
- âŠ