Literature DB >> 18213507

Haptic feedback can provide an objective assessment of arthroscopic skills.

George Chami1, James W Ward, Roger Phillips, Kevin P Sherman.   

Abstract

UNLABELLED: The outcome of arthroscopic procedures is related to the surgeon's skills in arthroscopy. Currently, evaluation of such skills relies on direct observation by a surgeon trainer. This type of assessment, by its nature, is subjective and time-consuming. The aim of our study was to identify whether haptic information generated from arthroscopic tools could distinguish between skilled and less skilled surgeons. A standard arthroscopic probe was fitted with a force/torque sensor. The probe was used by five surgeons with different levels of experience in knee arthroscopy performing 11 different tasks in 10 standard knee arthroscopies. The force/torque data from the hand and tool interface were recorded and synchronized with a video recording of the procedure. The torque magnitude and patterns generated were analyzed and compared. A computerized system was used to analyze the force/torque signature based on general principles for quality of performance using such measures as economy in movement, time efficiency, and consistency in performance. The results showed a considerable correlation between three haptic parameters and the surgeon's experience, which could be used in an automated objective assessment system for arthroscopic surgery. LEVEL OF EVIDENCE: Level II, diagnostic study. See the Guidelines for Authors for a complete description of levels of evidence.

Mesh:

Year:  2008        PMID: 18213507      PMCID: PMC2504651          DOI: 10.1007/s11999-008-0115-9

Source DB:  PubMed          Journal:  Clin Orthop Relat Res        ISSN: 0009-921X            Impact factor:   4.176


  10 in total

1.  A portable virtual environment knee arthroscopy training system with objective scoring.

Authors:  K P Sherman; J W Ward; D P Wills; A M Mohsen
Journal:  Stud Health Technol Inform       Date:  1999

2.  Virtual arthroscopy training: do the "virtual skills" developed match the real skills required?

Authors:  A McCarthy; P Harley; R Smallwood
Journal:  Stud Health Technol Inform       Date:  1999

3.  Surgical trainee assessment using a VE knee arthroscopy training system (VE-KATS): experimental results.

Authors:  K P Sherman; J W Ward; D P Wills; V J Sherman; A M Mohsen
Journal:  Stud Health Technol Inform       Date:  2001

4.  Objective laparoscopic skills assessments of surgical residents using Hidden Markov Models based on haptic information and tool/tissue interactions.

Authors:  J Rosen; M Solazzo; B Hannaford; M Sinanan
Journal:  Stud Health Technol Inform       Date:  2001

5.  Task decomposition of laparoscopic surgery for objective evaluation of surgical residents' learning curve using hidden Markov model.

Authors:  Jacob Rosen; Massimiliano Solazzo; Blake Hannaford; Mika Sinanan
Journal:  Comput Aided Surg       Date:  2002

6.  Laparoscopic task recognition using Hidden Markov Models.

Authors:  Aristotelis Dosis; Fernando Bello; Duncan Gillies; Shabnam Undre; Rajesh Aggarwal; Ara Darzi
Journal:  Stud Health Technol Inform       Date:  2005

7.  Smart tool for force measurements during knee arthroscopy: in vivo human study.

Authors:  G Chami; J Ward; D Wills; R Phillips; K Sherman
Journal:  Stud Health Technol Inform       Date:  2006

8.  Determining the efficacy of an immersive trainer for arthroscopy skills.

Authors:  James P Bliss; Hope S Hanner-Bailey; Mark W Scerbo
Journal:  Stud Health Technol Inform       Date:  2005

9.  Learning arthroscopy.

Authors:  W E Miller
Journal:  South Med J       Date:  1985-08       Impact factor: 0.954

10.  Markov modeling of minimally invasive surgery based on tool/tissue interaction and force/torque signatures for evaluating surgical skills.

Authors:  J Rosen; B Hannaford; C G Richards; M N Sinanan
Journal:  IEEE Trans Biomed Eng       Date:  2001-05       Impact factor: 4.538

  10 in total
  7 in total

1.  The use of navigation forces for assessment of wrist arthroscopy skills level.

Authors:  Miryam C Obdeijn; Sophie J van Baalen; Tim Horeman; Philippe Liverneaux; Gabrielle J M Tuijthof
Journal:  J Wrist Surg       Date:  2014-05

2.  Probing forces of menisci: what levels are safe for arthroscopic surgery.

Authors:  Gabriëlle J M Tuijthof; Tim Horeman; Matthias U Schafroth; Leendert Blankevoort; Gino M M J Kerkhoffs
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2010-09-03       Impact factor: 4.342

3.  The frequency of assessment tools in arthroscopic training: a systematic review.

Authors:  Haixia Zhou; Chengyao Xian; Kai-Jun Zhang; Zhouwen Yang; Wei Li; Jing Tian
Journal:  Ann Med       Date:  2022-12       Impact factor: 5.348

4.  Performance of arthroscopic irrigation systems assessed with automatic blood detection.

Authors:  G J M Tuijthof; M M de Vaal; I N Sierevelt; L Blankevoort; M P J van der List
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2011-04-09       Impact factor: 4.342

5.  The timing and importance of motor skills course in knee arthroscopy training.

Authors:  Engin Çetinkaya; Hakan Çift; Ahmet Aybar; Ersin Erçin; Gamze Babür Güler; Oğuz Poyanlı
Journal:  Acta Orthop Traumatol Turc       Date:  2017-07-08       Impact factor: 1.511

6.  Arthroscopic proficiency: methods in evaluating competency.

Authors:  Justin L Hodgins; Christian Veillette
Journal:  BMC Med Educ       Date:  2013-05-01       Impact factor: 2.463

7.  The Resistance Force of the Anterior Cruciate Ligament during Pull Probing Is Related to the Mechanical Property.

Authors:  Takehito Hananouchi; Tomoyuki Suzuki; Erik W Dorthe; Jiang Du; Darryl D D'Lima
Journal:  Bioengineering (Basel)       Date:  2021-12-23
  7 in total

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