Purpose: Knowledge of the specific anatomical information of a patient is important when planning and undertaking laparoscopic surgery due to the restricted field of view and lack of tactile feedback compared to open surgery. To assist this type of surgery, we have developed a surgical navigation system that presents the patient's anatomical information synchronized with the laparoscope position. This paper presents the surgical navigation system and its clinical application to laparoscopic gastrectomy for gastric cancer.
Methods: The proposed surgical navigation system generates virtual laparoscopic views corresponding to the laparoscope position recorded with a three-dimensional (3D) positional tracker. The virtual laparoscopic views are generated from preoperative CT images. A point-based registration aligns coordinate systems between the patient's anatomy and image coordinates. The proposed navigation system is able to display the virtual laparoscopic views using the registration result during surgery.
Results: We performed surgical navigation during laparoscopic gastrectomy in 23 cases. The navigation system was able to present the virtual laparoscopic views in synchronization with the laparoscopic position. The fiducial registration error was calculated in all 23 cases, and the average was 14.0 mm (range 6.1-29.8).
Conclusion: The proposed surgical navigation system can provide CT-derived patient anatomy aligned to the laparoscopic view in real time during surgery. This system enables accurate identification of vascular anatomy as a guide to vessel clamping prior to total or partial gastrectomy.
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http://dx.doi.org/10.1007/s11548-015-1293-z | DOI Listing |
Alzheimers Dement
December 2024
Monash University, Melbourne, VIC, Australia.
Background: People with dementia of all ages have a human right to equal access to quality health care. Despite evidence regarding its effectiveness, many people living with dementia lack access to evidence-based rehabilitation for promoting function and quality of life. The aims of this study were to 1) explore barriers to access to dementia rehabilitation; and 2) identify solutions which improve access to rehabilitation.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Erasmus University Rotterdam, Rotterdam, Netherlands.
Background: 'Intellectual assets' generated in traditional university settings, that may not fit the interests of the standard 'valuation criteria' (i.e. commercially profitable), such as non-pharmacological dementia care research, often remain siloed within their respective research disciplines and originating institutions.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Imperial College London, London, United Kingdom.
Background: Dementia is a complex health condition that poses challenges not only to people living with dementia (PLWD) but to their families, the health system and society as a whole. Even though there is still no cure for dementia, different interventions are showing substantial contribution. mHealth-based assistive technology has shown the potential to provide efficient healthcare for PLWD and their caregivers in cognitive training, health and safety monitoring, educational support, and socialization.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Senior Doc, Orange, CA, USA.
Background: The imminent launch of the Guiding an Improved Dementia Experience (GUIDE) Model necessitates a nuanced understanding of family caregiver needs to support the implementation of family-centered dementia care plans. Recognizing the multifaceted role of family caregivers, a preliminary working session was convened to outline the foundational elements of a family caregiver assessment, ensuring these assessments are equipped to guide effective interventions.
Method: A multidisciplinary panel consisting of a clinical psychologist, two health care executives, and a physician with geriatric expertise convened to delineate components of a caregiver assessment tool to supplement the Zarit Burden Interview.
Alzheimers Dement
December 2024
University of Minnesota Duluth, Duluth, MN, USA.
Background: The rising demand for alternative dementia assessments, fueled by healthcare workforce shortages and the growing population of individuals affected with dementia, necessitates innovative approaches to address accessibility, logistics, and diverse populations. The utilization of robots in cognitive assessments emerges as a promising solution, promising efficiency and engagement, while navigating the complex landscape of dementia care challenges.
Method: Existing cognitive assessment tools were examined to develop a humanoid robot to deliver cognitive assessment.
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