The Prevalence of Triangular Fibrocartilage Complex Signal Abnormalities on Magnetic Resonance Imaging Relative to Clinical Suspicion of Pathology.

PURPOSE: To determine the prevalence of triangular fibrocartilage complex (TFCC) signal changes in patients undergoing magnetic resonance imaging (MRI) of the wrist and its relationship to a clinical suspicion of TFCC pathology. The secondary purpose was to study factors that are associated with TFCC signal changes. METHODS: In this retrospective study, we looked for any TFCC signal changes in the reports of MRI findings performed during a 3-year period in 1,134 patients. Demographic characteristics, the categorized indications for MRI, and symptoms at the time of the MRI were also retrieved from the medical records. Patients were divided into 6 groups, based on age, to calculate the proportions of TFCC signal changes in the entire cohort and as an incidental finding among patients without a clinical suspicion of TFCC pathology within each age group. RESULTS: A total of 321 patients (28%) had incidental TFCC signal changes. The prevalence among 18- to 30 year-olds was 19%, and increased to 64% in patients older than 70 years. Multivariable logistic regression analysis demonstrated that an increase in age is significantly associated with having TFCC signal changes on MRI in patients who have a low clinical suspicion of TFCC pathology. The rate of incidental TFCC signal changes steadily increases with age. CONCLUSIONS: The TFCC signal abnormalities on MRI are more common with increasing age in patients with low clinical suspicion of TFCC pathology. At age 70, more than half of all patients will have TFCC signal changes, and more than 90% are present in patients with a low clinical suspicion of TFCC pathology. TYPE OF STUDY/LEVEL OF EVIDENCE: Diagnostic IV.

Robotic dismembered pyeloplasty surgical simulation using a 3D-printed silicone-based model: development, face validation and crowdsourced learning outcomes assessment.

Ureteropelvic junction obstruction (UPJO) is an uncommonly encountered pathology, posing a challenge for resident training. We describe the development and face validation of a robotic pyeloplasty simulation using a 3D-printed silicone-based model of UPJO for surgical training, in combination with crowdsourced scoring to objectively assess performance and learning outcomes. The organs were created using 3D modeling software and printed using a silicone-based material by Lazarus 3D, LLC. They were secured in a laparoscopic box trainer and the robotic system was docked. Eight residents and three faculty each performed two robotic-assisted right dismembered pyeloplasties on separate occaisions. Face validity was evaluated on a 5-point Likert scale. Crowd-Sourced Assessment of Technical Skills (C-SATS Inc.) scored surgical performance using the Global Evaluative Assessment of Robotic Skills (GEARS) criteria, based on video review of each simulation. All participants completed the simulation twice with fully patent anastomoses. Average time to complete the first and second trials was 44.4 min and 43.2 min, respectively. The average GEARS score was 17.1 and 17.6 for the first and second trials respectively. Participants improved on average in all 5 GEARS categories, with significant improvement in depth perception (p = 0.006). The model received mean scores (out of 5) of 4.36 for aesthetics, 4.18 for overall feel, 3.55 for realism, 4.72 for usability, and 4.72 for suturability. Residents had a significant increase in confidence between initial and final surveys on a 5-point Likert Scale: 1.63 vs. 2.38 (p = 0.03). Using 3D-printed silicone-based models, participants completed robotic-assisted dismembered pyeloplasties for training and skill acquisition. We demonstrated face validity of the simulation, which was also found to improve participant speed and significantly improve resident confidence. Crowdsourced assessment demonstrated significant improvement in depth perception.