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Tidsskrift For Den Norske Laegeforening... May 2021
Topics: Humans; Surgical Instruments
PubMed: 33950647
DOI: 10.4045/tidsskr.21.0293 -
World Journal of Surgery Jan 20173D printing is an additive manufacturing process allowing the creation of solid objects directly from a digital file. We believe recent advances in additive...
BACKGROUND
3D printing is an additive manufacturing process allowing the creation of solid objects directly from a digital file. We believe recent advances in additive manufacturing may be applicable to surgical instrument design. This study investigates the feasibility, design and fabrication process of usable 3D printed surgical instruments.
METHODS
The computer-aided design package SolidWorks (Dassault Systemes SolidWorks Corp., Waltham MA) was used to design a surgical set including hemostats, needle driver, scalpel handle, retractors and forceps. These designs were then printed on a selective laser sintering (SLS) Sinterstation HiQ (3D Systems, Rock Hill SC) using DuraForm EX plastic. The final printed products were evaluated by practicing general surgeons for ergonomic functionality and performance, this included simulated surgery and inguinal hernia repairs on human cadavers. Improvements were identified and addressed by adjusting design and build metrics.
RESULTS
Repeated manufacturing processes and redesigns led to the creation of multiple functional and fully reproducible surgical sets utilizing the user feedback of surgeons. Iterative cycles including design, production and testing took an average of 3 days. Each surgical set was built using the SLS Sinterstation HiQ with an average build time of 6 h per set.
CONCLUSIONS
Functional 3D printed surgical instruments are feasible. Advantages compared to traditional manufacturing methods include no increase in cost for increased complexity, accelerated design to production times and surgeon specific modifications.
Topics: Computer-Aided Design; Humans; Printing, Three-Dimensional; Software; Surgical Instruments
PubMed: 27822724
DOI: 10.1007/s00268-016-3814-5 -
Epilepsia Dec 2012Emil Theodor Kocher (1841-1917) was a pioneering and versatile Swiss surgeon who played a decisive role in the surgical evolution on the threshold to the 20th century.... (Review)
Review
Emil Theodor Kocher (1841-1917) was a pioneering and versatile Swiss surgeon who played a decisive role in the surgical evolution on the threshold to the 20th century. Apart from conducting intense research and fostering the development of the surgical treatment of thyroid gland diseases (honored with a Nobel Prize in 1909), he remained a generalist and was active in orthopedic, genitourinary, and neurologic surgery. Even today, many surgical techniques and instruments are still named after him, thus providing evidence of his great impact. His neurosurgical ambitions included, in particular, cerebral and spinal trauma, the pathophysiology of elevated intracranial pressure, as well as etiological considerations and the operative treatment of epilepsy. This article aims to shed light on Kocher's work on epilepsy, published exclusively in German, and illustrates the development of his idea on valve surgery for recurrent general convulsions.
Topics: Aged; Epilepsy; History, 19th Century; History, 20th Century; Humans; Male; Neurology; Neurosurgical Procedures; Physicians; Surgical Instruments
PubMed: 22967053
DOI: 10.1111/j.1528-1167.2012.03663.x -
Computers in Biology and Medicine Feb 2024In the field of computer- and robot-assisted minimally invasive surgery, enormous progress has been made in recent years based on the recognition of surgical instruments... (Review)
Review
In the field of computer- and robot-assisted minimally invasive surgery, enormous progress has been made in recent years based on the recognition of surgical instruments in endoscopic images and videos. In particular, the determination of the position and type of instruments is of great interest. Current work involves both spatial and temporal information, with the idea that predicting the movement of surgical tools over time may improve the quality of the final segmentations. The provision of publicly available datasets has recently encouraged the development of new methods, mainly based on deep learning. In this review, we identify and characterize datasets used for method development and evaluation and quantify their frequency of use in the literature. We further present an overview of the current state of research regarding the segmentation and tracking of minimally invasive surgical instruments in endoscopic images and videos. The paper focuses on methods that work purely visually, without markers of any kind attached to the instruments, considering both single-frame semantic and instance segmentation approaches, as well as those that incorporate temporal information. The publications analyzed were identified through the platforms Google Scholar, Web of Science, and PubMed. The search terms used were "instrument segmentation", "instrument tracking", "surgical tool segmentation", and "surgical tool tracking", resulting in a total of 741 articles published between 01/2015 and 07/2023, of which 123 were included using systematic selection criteria. A discussion of the reviewed literature is provided, highlighting existing shortcomings and emphasizing the available potential for future developments.
Topics: Endoscopy; Minimally Invasive Surgical Procedures; Robotic Surgical Procedures; Surgery, Computer-Assisted; Surgical Instruments; Image Processing, Computer-Assisted
PubMed: 38184862
DOI: 10.1016/j.compbiomed.2024.107929 -
The Journal of Thoracic and... Apr 2018
Topics: Allografts; Surgical Instruments
PubMed: 29395200
DOI: 10.1016/j.jtcvs.2017.10.146 -
Medical Image Analysis Oct 2022Precise instrument segmentation aids surgeons to navigate the body more easily and increases patient safety. While accurate tracking of surgical instruments in real-time...
Precise instrument segmentation aids surgeons to navigate the body more easily and increases patient safety. While accurate tracking of surgical instruments in real-time plays a crucial role in minimally invasive computer-assisted surgeries, it is a challenging task to achieve, mainly due to: (1) a complex surgical environment, and (2) model design trade-off in terms of both optimal accuracy and speed. Deep learning gives us the opportunity to learn complex environment from large surgery scene environments and placements of these instruments in real world scenarios. The Robust Medical Instrument Segmentation 2019 challenge (ROBUST-MIS) provides more than 10,000 frames with surgical tools in different clinical settings. In this paper, we propose a light-weight single stage instance segmentation model complemented with a convolutional block attention module for achieving both faster and accurate inference. We further improve accuracy through data augmentation and optimal anchor localization strategies. To our knowledge, this is the first work that explicitly focuses on both real-time performance and improved accuracy. Our approach out-performed top team performances in the most recent edition of ROBUST-MIS challenge with over 44% improvement on area-based multi-instance dice metric MI_DSC and 39% on distance-based multi-instance normalized surface dice MI_NSD. We also demonstrate real-time performance (>60 frames-per-second) with different but competitive variants of our final approach.
Topics: Attention; Humans; Image Processing, Computer-Assisted; Minimally Invasive Surgical Procedures; Surgery, Computer-Assisted; Surgical Instruments
PubMed: 35985195
DOI: 10.1016/j.media.2022.102569 -
Revista Gaucha de Enfermagem 2020Analysis of the use of ophthalmic instruments during surgical procedures in order to propose a material management method.
AIM
Analysis of the use of ophthalmic instruments during surgical procedures in order to propose a material management method.
METHOD
Mixed method study, sequential exploratory design, performed from January to June 2015, at a university hospital in southern Brazil. First, a qualitative approach was held from brainstorming and field observation. Themes were grouped into thematic categories. By connection, the quantitative stage happened through matrix arrangement and linear programming, culminating in the instrument management proposal.
RESULTS
Given categories - instruments reorganization according to the time of the surgical procedure and the need surgical instruments for in each procedure - guided the definition of existing restrictions and application of mathematical models. There was an average reduction of 13.10% in the number of surgical instruments per tray and an increase of 17.88% in surgical production.
FINAL CONSIDERATIONS
This proposal allowed the rationalization and optimization of ophthalmic instruments, favoring sustainability of the organization.
Topics: Humans; Materials Management, Hospital; Ophthalmologic Surgical Procedures; Qualitative Research; Sterilization; Surgical Instruments; Time Factors
PubMed: 32294725
DOI: 10.1590/1983-1447.2020.20190111 -
European Journal of Vascular and... Mar 2022
Topics: Aneurysm, False; Aorta; Humans; Surgical Instruments
PubMed: 34972628
DOI: 10.1016/j.ejvs.2021.11.017 -
Thyroid : Official Journal of the... Sep 2013
Topics: Blood Loss, Surgical; Hemostasis, Surgical; Humans; Surgical Instruments; Thyroid Gland; Thyroidectomy; Ultrasonic Surgical Procedures
PubMed: 23688251
DOI: 10.1089/thy.2013.0286 -
Family Medicine Oct 2020
Topics: Humans; Surgical Instruments
PubMed: 33030726
DOI: 10.22454/FamMed.2020.434461