Sponsor study identifier
observational
60
1 country
3
Study Start
October 30, 2024
Actual (reported)Primary Completion
July 30, 2026
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Study Completion
December 30, 2026
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
The purpose of this study is to create a systematic and general description of the surgical process for the direct anterior approach (DAA) in total hip arthroplasty (THA). For this purpose a surgical process model with a labeled dataset of THA surgery videos will be segmented into the individual surgical steps and sub-steps using a systematic approach.
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
December 30, 2026
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
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Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
August 7, 2023
Actual (reported)August 15, 2023
Actual (reported)October 30, 2024
Actual (reported)July 30, 2026
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
December 30, 2026
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
labeled recordings of total hip arthroplasty
Surgery recordings of Total Hip Arthroplasties (THA) with Direct Anterior Approach (DAA) performed at Balgrist University Hospital will be used to develop an in-depth systematic analysis of surgical workflows and activity. The comparison and evaluation of THA with DAA performed at two external hospitals (Kantonsspital Baden, Switzerland and Kantonsspital Winterthur, Switzerland) will allow to generalize and evaluate the developed models: Multicenter study.
Up to 1 year
automated deep learning-based approach for surgical workflow and activity recognition for total hip arthroplasty (THA)
Up to 1 year
We plan to record 60 total hip arthroplasty (THA) surgeries in the operating theatre performed by different surgeons of the hip team at Balgrist University Hospital or Kantonsspital Baden or Kantonsspital Winterthur, for data collection purposes.
We record total hip arthroplasties (THA) of hip surgeons at Balgrist University Hospital (BUH), Kantonsspital Baden (KSB), Kantonsspital Winterthur (KSW). Video \& audio data are stored locally at Balgrist-managed servers (patient-sensitive information removed). Data includes: Demographics (year of birth, sex, smoking status, body mass index) Diagnosis Surgery-specific data \& other surgical procedures during recording Standard preoperative Computed tomography of the hip/pelvis Standard pelvis x-rays pre- \& postoperative Standard axial hip x-rays pre- \& postoperative Western Ontario \& McMaster Universities Osteoarthritis Index \& Harris-Hip-Score To ensure the generated Surgical process model(SPM), evaluated using the recordings obtained from surgeries performed at BUH, generally describes the surgical process of THA, we apply our model to surgeries from the KSB and the KSW. There, 3 THAs are recorded and analyzed regarding commonalities and discrepancies in the SPM.
Registry-reported names are shown in full. Names without a link have not yet been matched to a Syfrah profile.
We plan to record 60 THA surgeries in the operating room performed by different hip surgeons at Balgrist University Hospital, Kantonsspital Baden, or Kantonsspital Winterthur, for data collection. Patients are recruited if they fit the in-/exclusion criteria and get primary information from the surgeon as soon as the decision for surgery has been made in the outpatient clinic. The patients are handed a copy of the informed consent and can decide on participating until the follow-up consultation. The decision to perform the procedure is not linked to the study. The decision to participate does not affect the procedure itself.
Kantonsspital Baden
Baden, Canton of Aargau, 5404, Switzerland
Kantonsspital Winterthur
Winterthur, Canton of Zurich, 8400, Switzerland
Carrillo F, Esfandiari H, Muller S, von Atzigen M, Massalimova A, Suter D, Laux CJ, Spirig JM, Farshad M, Furnstahl P. Surgical Process Modeling for Open Spinal Surgeries. Front Surg. 2022 Jan 25;8:776945. doi: 10.3389/fsurg.2021.776945. eCollection 2021.
Charney M, Paxton EW, Stradiotto R, Lee JJ, Hinman AD, Sheth DS, Prentice HA. A Comparison of Risk of Dislocation and Cause-Specific Revision Between Direct Anterior and Posterior Approach Following Elective Cementless Total Hip Arthroplasty. J Arthroplasty. 2020 Jun;35(6):1651-1657. doi: 10.1016/j.arth.2020.01.033. Epub 2020 Jan 22.
Philipp Fürnstahl, PhD
Balgrist University Hospital
Patrick Zingg, MD
Balgrist University Hospital
First Submitted
August 7, 2023
First Posted
August 15, 2023
Study Start
October 30, 2024
Actual (reported)Primary Completion
July 30, 2026
Estimated (date passed)Contact the study team to confirm eligibility.
Balgrist University Hospital
Zurich, Canton of Zurich, 8008, Switzerland
Haynes JA, Hopper RH Jr, Ho H, McDonald JF 3rd, Parks NL, Hamilton WG. Direct Anterior Approach for Primary Total Hip Arthroplasty Lowers the Risk of Dislocation Compared to the Posterior Approach: A Single Institution Experience. J Arthroplasty. 2022 Mar;37(3):495-500. doi: 10.1016/j.arth.2021.11.011. Epub 2021 Nov 10.
Neumuth T, Jannin P, Strauss G, Meixensberger J, Burgert O. Validation of knowledge acquisition for surgical process models. J Am Med Inform Assoc. 2009 Jan-Feb;16(1):72-80. doi: 10.1197/jamia.M2748. Epub 2008 Oct 24.
Patel NN, Shah JA, Erens GA. Current Trends in Clinical Practice for the Direct Anterior Approach Total Hip Arthroplasty. J Arthroplasty. 2019 Sep;34(9):1987-1993.e3. doi: 10.1016/j.arth.2019.04.025. Epub 2019 Apr 18.
Seibold, M., Hoch, A., Farshad, M., Navab, N., & Fürnstahl, P. (2022). Conditional generative data augmentation for clinical audio datasets. Medical Image Computing and Computer Assisted Intervention (MICCAI). Singapore.
Zisimopoulos, O., Flouty, E., Luengo, I., Giataganas, P., Nehme, J., Chow, A., & Stoyanov, D. (2018). DeepPhase: Surgical Phase Recognition in CATARACTS Videos. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial, 11073, 265-275.
This estimate has passed. The registry has not confirmed an actual date for this milestone.
Study Completion
December 30, 2026
EstimatedPlanned date reported by the registry; this milestone is not confirmed as achieved.
Last Updated
June 15, 2026
Record last verified: 2026-06
The individual participant data will only be shared in an anonymized form upon reasonable request after the project has been completed and the data has been published as a scientific article.
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Source: ClinicalTrials.gov.
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