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Farinha et al. Mini-invasive Surg 2023;7:38  https://dx.doi.org/10.20517/2574-1225.2023.50  Page 9 of 14


 Table 4. Kane framework

 Proposed use (decision)  (Type of) Scoring  Generalization Extrapolation  Implications

 Hidalgo    Develop and test an in-vivo porcine LPN   Use time as a metric in different steps  None identified  The model enhances the learning experience Participants endorsed application of the
 [16]
 et al.  TM to teach LPN                              model as an effective surgical educational
                                                      tool
 Yang    Develop and test an ex-vivo porcine LPN   Used operation-specific and time metrics   None identified  Trainees found the model helpful, increased   Authors consider the model useful for
 [32]
 et al.  TM to teach LPN  Measured learning curve and quality of PN  confidence, and improved skills in LPN  learning key steps of PN and developing
                                                      advanced laparoscopic suture-repairing
                                                      skills
 Hung    Evaluate face, content, and construct   Used questionnaires to assess realism and   None identified  Experts rated the model high in realism and   A model appropriate for resident and fellow
 [18]
 et al.  validities of ex-vivo RAPN TM  utility as training tools   as a training tool for residents and fellows.   training
 Video recordings were assessed by three   Limited training role for expert surgeons
 experts
 Use time, operation-specific metrics, and
 GOALS
 Chow    Assess validity and effectiveness of an   Used time and GEARS   None identified  Improved skills, shortened the learning curve,  Use of this model in a urology residency
 [11]
 et al.  ex-vivo porcine TM  Video recorded performances   and increased operator confidence  curriculum
 Blinded assessors
 Fernandez   Evaluate the materials model for PN   Likert-scale to rate quality and realism of   None identified  Rated as “good” realism   PVA-C use was less expensive and entailed
 [20]
 et al.  kidney tumors  renal tumor model   Participants considered the model helpful in   fewer logistic concerns than those
 Evaluated operation-specific and time metrics   learning to perform LPN   associated with the animal model
 Evaluated learning curve measuring time  Good teaching tool for residents and fellows
              to learn technical skills of the LPN
 Golab    Create individual silicone models for   Used time as metrics  None identified  Improved actual surgery   Producing these models brings new
 [25]
 et al.  training LPN  Reduced the need for/duration of   possibilities for laparoscopic education
              intraoperative renal ischemia
 Monda    Assess face, content, and construct   Evaluated usefulness and realism of the model  None identified  Experts gave high ratings for realism and   Novel and economic methods of
 [19]
 et al.  validity of a RAPN training model  as a training tool,   usefulness   manufacturing silicone models
 Performance measured using operation-  Differentiated surgical performance of   Useful for trainees to gain fundamental
 specific metrics, NASA-TLX and GEARS   groups’ expertise   surgical skills in RALPN
 Video performance recorded and blinded   Evidenced learning curve
 assessments by experts
 Ghazi    Simulation platform for RAPN  Used CROMS and GOALS   None identified  Rated by experts as superior to porcine or   The model might lead to widespread use of
 [21]
 et al.  Evaluated realism ratings and training   cadaveric models for replication of   procedural, patient-specific, individualized
 effectiveness  procedural steps                      practice
              Excellent at discriminating experts from   No need for dedicated teaching robots and
              novice performance                      wet-laboratory facilities
 Maddox    Develop patient-specific kidney models   No scoring.   None identified  Patients who underwent the preoperative   Use of this type of model may decrease the
 [26]
 et al.  for the purpose of pre-surgical resection  Compare clinical results between patients   surgical model experienced lower estimated  slope of the learning curve and improve
 and incorporation into simulation labs  from the study and similar studies from a   blood loss at the time of resection  patient outcomes
 RAPN database
 von   Develop patient-specific pre-surgical   Compare resection times between the model  None identified  Improved resection times   Can assist in surgical decision-making,
 Rundstedt   simulation protocol for RALPN  and the actual tumor in a patient-specific   Similar morphology and tumor volumes when  provide preoperative rehearsals, and
 [27]
 et al.  manner  compared with the real tumor         improve surgical training
              Predict feasibility of RALPN within an
              acceptable ischemia time
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