Da Vinci robotic-assisted anterolateral lumbar arthrodesis: operative technique.

Acta Neurochir (Wien)

Neurosurgery Department, Hôpital de la Timone, Assistance Publique des Hôpitaux de Marseille, 264 rue Saint-Pierre, 13005, Marseille, France.

Published: September 2023

Background: Minimally invasive approaches for lumbar fusion are aimed at reducing soft tissue injury in order to minimize surgical morbidity and facilitate recovery.

Method: Applied to oblique lateral lumbar interbody fusion (OLIF), Da Vinci robot (DVR) assistance can help specially in obese patients. Positioning and important anatomical landmarks are reviewed. Indications, advantages, and limitations are discussed, and a step-by-step description of the procedure is presented. OLIF can be achieved efficiently through this approach with lesser blood loss, shorter hospital stays, and reduced rate of general complications.

Conclusion: The use of DVR assistance for OLIF is a promising new technique.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00701-023-05676-6DOI Listing

Publication Analysis

Top Keywords

dvr assistance
8
vinci robotic-assisted
4
robotic-assisted anterolateral
4
anterolateral lumbar
4
lumbar arthrodesis
4
arthrodesis operative
4
operative technique
4
technique background
4
background minimally
4
minimally invasive
4

Similar Publications

Computer-aided diagnosis for the resect-and-discard strategy for colorectal polyps: a systematic review and meta-analysis.

Lancet Gastroenterol Hepatol

November 2024

Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy; Endoscopy Unit, Humanitas Clinical and Research Center, IRCCS, Rozzano, Italy.

Article Synopsis
  • The study explores the use of computer-aided diagnosis (CADx) in the resect-and-discard strategy for the optical diagnosis of diminutive polyps during colonoscopy, aiming to improve diagnosis and reduce unnecessary pathology assessments.
  • It involved a systematic review of existing research to analyze the effectiveness of CADx systems compared to traditional histology for small polyps (≤5 mm), including comparisons of CADx-assisted and unassisted methods.
  • The meta-analysis included 11 studies with a total of 7400 polyps examined, highlighting the potential benefits and harms of using CADx in terms of accurate diagnosis and avoidance of false positives/negatives.
View Article and Find Full Text PDF

Deep volcanic residual U-Net for nodal metastasis (Nmet) identification from lung cancer.

Biomed Eng Lett

March 2024

RISE Krishna Sai Prakasam Group of institution, Ongole, Andhra Pradesh 523272 India.

Lymph node metastasis detections are more clinically significant task associated with the presence and reappearance of lung cancer. The development of the computer-assisted diagnostic approach has greatly supported the diagnosis of human disorders in the field of medicine including lung cancer. Lung cancer treatment is possible if it is detected at the initial stage.

View Article and Find Full Text PDF

Da Vinci Robotic Assistance for Anterolateral Lumbar Arthrodesis: Results of a French Multicentric Study.

World Neurosurg

January 2024

Department of Neurosurgery, Hôpital de la Timone, Assistance Publique des Hôpitaux de Marseille, Marseille, France.

Background: The da Vinci robot (DVR) is the most widely used robot in abdominal, urological, and gynecological surgery. Due to its minimally invasive approach, the DVR has demonstrated its effectiveness and improved safety in these different disciplines. The aim of our study was to report its use in an anterior approach of complex lumbar surgery.

View Article and Find Full Text PDF

IoT forensics: Exploiting log records from the DAHUA technology CCTV systems.

J Forensic Sci

January 2024

Department of Informatics and Computer Engineering, University of West Attica, Egaleo, Attica, Greece.

CCTV surveillance systems are ubiquitous IoT appliances. Their forensic examination has proven critical for investigating crimes. DAHUA Technology is a well-known manufacturer of such products.

View Article and Find Full Text PDF

Background And Aims: Identification and photo-documentation of the ileocecal valve (ICV) and appendiceal orifice (AO) confirm completeness of colonoscopy examinations. We aimed to develop and test a deep convolutional neural network (DCNN) model that can automatically identify ICV and AO, and differentiate these landmarks from normal mucosa and colorectal polyps.

Methods: We prospectively collected annotated full-length colonoscopy videos of 318 patients undergoing outpatient colonoscopies.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!