Purpose: To describe the pattern of injury, surgical technique and outcomes of Monteggia type IID fracture dislocations.

Method: Design: Retrospective review of prospectively collected clinical and radiographic patient data in orthopaedic trauma database with prospectively collected outcome scores. Setting: Level 1 university based trauma center. Patients / Participants: All patients with Monteggia type IID fracture dislocations admitted from January 2000 to July 2005. Intervention: Review of patient demographics, fracture pattern, method of fixation, complications, additional surgical procedures, and clinical and radiographic outcome measures. Main Outcome Measurements: Clinical outcomes: elbow range of motion, QuickDASH (Quick Disabilities of the Arm, Shoulder and Hand), PREE (Patient Rated Elbow Evaluation), complications. Radiographic outcomes: quality of fracture reduction, healing time, degenerative change and heterotopic ossification.

Results: Sixteen patients were included in the study. All fractures united. There were seven complications in 6 patients including 3 contractures with associated heterotopic ossification, 1 pronator syndrome and late radial nerve palsy, 1 radial head collapse and a DVT in the same patient and 1 with prominent hardware. Outcome scores were obtained on 11 patients at an average of 49 months (range 25 – 82 months) post-operatively. The average Quickdash score was 11 (range 0–43) and the average PREE score was 13 (range 0–34).

Conclusion: Monteggia IID fracture dislocations are complex injuries with a recurring pattern. Rigid anatomic fixation, early range of motion and avoidance of complications leads to a good outcome.

Introduction and Aims: Computer-assisted bone and soft tissue balancing in total knee arthroplasty (TKA) may aid in achieving perfect knee alignment leading to better function and prosthesis survival. The ‘Measured Resection’ technique was compared to a ‘Computer Assisted Gap Equalisation’ (CAGE) technique of knee balancing in TKA.

Method: TKAs were performed on eight pairs of cadaver knees. One side of each pair was randomly selected to the control group in which measured resection was used for balancing. The experimental technique (CAGE) using a computer-assisted ligament-tensioning device to equalise gap symmetry and load was used on the contralateral side. Post-operatively, a simulator applied forces to the quadriceps and hamstring tendons and a tibial load transducer measured compartmental force at five flexion angles (0, 30, 45, 60, 90 degrees). Outcome assessment consisted of measuring gap loads and symmetry under ligament tension pre-component insertion and compartmental force post-component insertion.

Results: Although there was no significant difference between the two groups in the symmetry of the extension (p = 0.27) and flexion (p=0.07) gaps pre-component insertion, there was a trend towards improved gap symmetry in the CAGE group. As well, pre-component insertion there was a significant (p< 0.05) equalisation of flexion and extension gap loads in the CAGE group. However, post-component insertion there was no significant difference (p> 0.05 using 2-way repeated measures ANOVA) in medial to lateral compartment load balance between the two groups. As well, the measured loads with the knee in full extension (zero degrees of flexion) were significantly higher (p< 0.001) in both groups compared to other flexion angles.

Conclusion: CAGE improves knee balance pre-component insertion by improving surgical accuracy with computer-assistance. However, component design, posterior capsular tension and tibial rotation preclude sustaining the improved balance post-component insertion leaving final knee balance unchanged. Further work is needed to translate the improved surgical accuracy into improved balance following component insertion.