Reproducibility and repeatability of a semi-automated pipeline to quantify trapeziometacarpal joint angles using dynamic computed tomography.

BACKGROUND: The trapeziometacarpal (TMC) joint is a mechanically complex joint and is commonly affected by musculoskeletal diseases such as osteoarthritis. Quantifying in vivo TMC joint biomechanics, such as joint angles, with traditional reflective marker-based methods can be difficult due to the joint's location in the hand. Dynamic computed tomography (CT) can facilitate the quantification of TMC joint motion by continuously capturing three-dimensional volumes over time. However, post-processing of dynamic CT datasets can be time intensive and automated methods are needed to reduce processing times to allow for application to larger clinical studies. The purpose of this work is to introduce a fast, semi-automated pipeline to quantify joint angles from dynamic CT scans of the TMC joint and evaluate the associated error in joint angle and translation computation by means of a reproducibility and repeatability study. METHODS: Ten cadaveric hands were scanned with dynamic CT using a passive motion device to move thumbs in a radial abduction-adduction motion. Static CT scans and high-resolution peripheral quantitative CT scans were also acquired to generate high-resolution bone meshes. Abduction-adduction, flexion-extension, and axial rotation angles were computed using a joint coordinate system. Reproducibility and repeatability were assessed using intraclass correlation coefficients, Bland-Altman analysis, and root mean square errors. Target registration errors were computed to evaluate errors associated with image registration. RESULTS: We found good repeatability for flexion-extension, abduction-adduction, and axial rotation angles. Reproducibility was moderate for all three angles. Joint translations exhibited greater repeatability than reproducibility. Specimens with greater joint degeneration had lower repeatability and reproducibility. We found that the difference in resulting joint angles and translations were likely due to differences in segment coordinate system definition between multiple raters, rather than due to registration errors. CONCLUSIONS: The proposed semi-automatic processing pipeline was fast, repeatable, and moderately reproducible when quantifying TMC joint angles and translations. This work provides a range of errors for TMC joint angles from dynamic CT scans using manually selected anatomical landmarks.

Robotics in neurosurgery: Current prevalence and future directions.

Background: The first instance of a robotic-assisted surgery occurred in neurosurgery; however, it is now more common in other fields such as urology and gynecology. This study aims to characterize the prevalence of robotic surgery among current neurosurgery programs as well as identify trends in clinical trials pertaining to robotic neurosurgery. Methods: Each institution's website was analyzed for the mention of a robotic neurosurgery program and procedures. The future potential of robotics in neurosurgery was assessed by searching for current clinical trials pertaining to neurosurgical robotic surgery. Results: Of the top 100 programs, 30 offer robotic cranial and 40 offer robotic spinal surgery. No significant differences were observed with robotic surgical offerings between geographic regions in the US. Larger programs (faculty size 16 or over) had 20 of the 30 robotic cranial programs (66.6%), whereas 21 of the 40 robotic spinal programs (52.5%) were at larger programs. An initial search of clinical trials revealed 223 studies, of which only 13 pertained to robotic neurosurgery. Spinal fixation was the most common intervention (six studies), followed by Deep Brain Stimulation (DBS, two studies), Cochlear implants (two studies), laser ablation (LITT, one study), and endovascular embolization (one study). Most studies had industry sponsors (9/13 studies), while only five studies had hospital sponsors. Conclusion: Robotic neurosurgery is still in its infancy with less than half of the top programs offering robotic procedures. Future directions for robotics in neurosurgery appear to be focused on increased automation of stereotactic procedures such as DBS and LITT and robot-assisted spinal surgery.

Political Campaign Contributions of Surgeons in the United States Throughout the 2020 Election Cycle.

Importance: Political engagement by the physician workforce is necessary to ensure continued representation of their interests in health care legislation. Limited data are available pertaining to the political involvement of US surgeons. Objective: To analyze the magnitude and distribution of political donations made by all US surgeons throughout the 2020 election cycle. Design, Setting, and Participants: Partisan and geographical differences in surgeon contributions by aggregating data (January 1 through December 31, 2020) from the US Federal Election Commission database were analyzed. Contributions were labeled as Republican, Democrat, or independent depending on the committee they were designated to. Main Outcomes and Measures: Differences in contributions to Republicans, Democrats, and independent candidates for all US surgeons and for subgroups. Results: For the 2020 election year, a total of 53 944 donations were made by surgeons in the United States, amounting to $9 223 350.68. Among all surgical specialties, the top 5 highest number of contributions were made from orthopedic surgeons (n = 15 081), ophthalmic surgeons (n = 14 836), neurological surgeons (n = 7481), urologists (n = 4544), and plastic surgeons (n = 4060). Of these donations, 59.46% (n = 32 107) were made to the Republican party ($5 420 326), 30.83% (n = 16 644) were made to the Democratic party ($1 612 775), and 9.71% (n = 5243) were made to nonpartisan (ie, independent) organizations ($2 190 250). Overall, pediatric surgeons reported the lowest mean contribution amount of $59.43, whereas thoracic surgeons reported the highest mean contribution amount of $225.19. Conclusions and Relevance: Health care legislation has an immense impact on how medicine is practiced and utilized. This analysis reveals a high degree of political activity of surgeons across different specialties and geographic regions.