Percutaneous pelvic fracture stabilization using CT-based 3D navigation software combined with targeting mechanical arm : a cadaver model trial

OBJECTIVES: To investigate a new targeting mechanical arm for CT-based navigated percutaneous fixation of pelvic fractures, and to evaluate the safety and efficiency of the procedures.

METHODS: Using CT-based 3D navigation software combined with targeting mechanical arm, percutaneous insertion of pelvic models (3 dry human cadaver pelvic skeletons and 5 plastic Sybone pelvic models) were performed, 8 pelvic models allowed percutaneous cannulated screw insertion of both S-I joint (2 S-I screws placement for each side, total 32 screws in this experiment) and both superior ramus (1 ramus medullary screw placement for each side, total 16 screws in this experiment). Percutaneous insertion of pelvic models (4 dry human cadaver pelvic skeletons and 4 plastic Sybone pelvic models, 1 S-I screws and 1 ramus medullary scre placement for each side, 32 screws in this experiment) were performed using fluoro-navigation system (Stryker, USA). Time necessary for every screw insertion were recorded. Accuracy of screw placement was assessed using C-arm imaging and direct eyes inspecting. The time and accuracy of the two methods were compared.

RESULTS: The time required for the CT-based 3D navigation procedure (3.6 ± 1.2) min was significantly less than using the targeting mechanical arm compared to drilling freehand with navigation (9.1 ± 0.8) min (t = 2.50, P < 0.01). There was no significant difference in accuracy between the two methods.

CONCLUSION: CT-based 3D navigation software combined with targeting mechanical arm should be potential to apply percutaneous sacroiliac screwing for pelvic fractures with more accurate and more reliable.

Medienart:

Artikel

Erscheinungsjahr:

2012

Erschienen:

2012

Enthalten in:

Zur Gesamtaufnahme - volume:50

Enthalten in:

Zhonghua wai ke za zhi [Chinese journal of surgery - 50(2012), 6 vom: 28. Juni, Seite 555-9

Sprache:

Chinesisch

Beteiligte Personen:

Wang, Jun-qiang [VerfasserIn]
Liu, Da [VerfasserIn]
Zhao, Chun-peng [VerfasserIn]
Zhang, Da-peng [VerfasserIn]
Su, Yong-gang [VerfasserIn]
Han, Wei [VerfasserIn]
Wang, Tian-miao [VerfasserIn]
Wang, Man-yi [VerfasserIn]

Themen:

English Abstract
Journal Article
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 03.12.2013

Date Revised 04.09.2012

published: Print

Citation Status MEDLINE

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM220709084