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Record W4403260141 · doi:10.1177/2325967124s00207

Poster 238: Accuracy, Safety, and Cost of Patient-Specific Cutting Guides for Alignment-Correcting Osteotomy

2024· article· en· W4403260141 on OpenAlexaboutno aff
Zachary I. Li, Naina Rao, Jairo Triana, Sharif Garra, Anil S. Ranawat, Michael J. Alaia, Laith M. Jazrawi

Bibliographic record

VenueOrthopaedic Journal of Sports Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicDigital Imaging in Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteotomyOrthodontics

Abstract

fetched live from OpenAlex

Objectives: The purpose of this study was to determine the cost, accuracy of radiographic correction, and safety with respect to complication rates and fluoroscopic usage in patient-specific cutting guides (PSCG) osteotomies compared to an age- and body mass index (BMI)-matched group of controls using standard cutting guides (SCG). Methods: Patients were retrospectively reviewed between 2017 and 2022 at a single urban academic institution. Patients undergoing high tibial osteotomy (HTO) or distal femoral osteotomy (DFO) with PSCG (Bodycad 3d, Quebec, Canada) were identified. Traditional osteotomies were selected for the SCG group using propensity matching based on age, sex, BMI, osteotomy type. All procedures were performed by 1 of 2 fellowship-trained sports orthopaedic surgeons. Procedure time, fluoroscopy time, tourniquet time, and concomitant procedures were extracted from operative notes. Blinded, 2-reader hip-knee-ankle (HKA), posterior tibial slope (PTS) and mechanical axis deviation (MAD) measurements were performed on pre- and postoperative weightbearing radiographs for each procedure. Intraclass correlation coefficients (ICCs) were calculated to determine the reliability between the intended intraoperative correction of HKA and/or PTS the measured result on postoperative radiographs. A time-driven activity-based costing (TDABC) analysis was performed to compare costs of PSCG versus SCG. Results: Forty-two patients were included in the final analysis. Each group was 47.6% female, with 11 HTOs and 10 DFOs performed in each group. Final HKA (2.7° vs 1.9°, p = 0.355), PTS (1.6° vs 2.6°, p = 0.794) and MAD (10.2 vs 5.8 mm, p = 0.214) did not significantly differ between SCG and PSCG groups (MAD seems higher for SCG. The ICC between the intended and measured HKA correction was 0.841 (good) in the PSCG group and 0.623 (moderate) in the SCG group. PSCG osteotomies averaged 18.5 minutes less (p = 0.392) and required 16.7 minutes less tourniquet time (p = 0.121). Fluoroscopy time was significantly lower in the PSCG group compared to SCG (99 vs 43 seconds, p < 0.001), as well as radiation dose (7.8 vs 2.9 mGy, p = 0.013). TDABC analysis demonstrated a base cost of $21,067 for PSCG and $23,896 for SCG. When the cost of the cutting guide and pre-operative imaging were included, PSCG was $2,829 more expensive than SCG. There was a lower, though non-statistically significant, rate of hinge fractures (9.5% vs 33.3%, p = 0.130) and return to the OR (4.8% vs 19.0%, p = 0.343) when comparing PSCG and SCG groups. Conclusions: Both traditionally guided osteotomies and PSCG-guided osteotomies accurately corrected lower extremity malalignment. Utilization of PSCG resulted in similar procedure times and cost. PSCG required less fluoroscopy and resulted in less radiation to conventional osteotomy and trended toward a decreased rate of postoperative complications.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.936
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.294
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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