Evidence map›Paper›PMID 41627448›Full record

ArticleArchives of orthopaedic and trauma surgery2026

Intraoperative torsion control with radiological cortical thickness parameters in distal tibial shaft fractures: a cadaveric study.

Lena Keppler, Richard Zaccaria, Christian Zeckey, Konstantin Küßner, Eduardo M Suero, Carl Neuerburg, Maximilian Weigert, Wolfgang Böcker, Alexander M Keppler

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Article in Archives of orthopaedic and trauma surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Lena Keppler *Musculoskeletal University Center Munich (MUM), LMU University, Munich, Germany.
Richard Zaccaria *Musculoskeletal University Center Munich (MUM), LMU University, Munich, Germany.
Christian ZeckeyRoMed Hospital, Rosenheim, Germany.
Konstantin KüßnerMusculoskeletal University Center Munich (MUM), LMU University, Munich, Germany.
Eduardo M SueroMusculoskeletal University Center Munich (MUM), LMU University, Munich, Germany.
Carl NeuerburgMusculoskeletal University Center Munich (MUM), LMU University, Munich, Germany.
Maximilian WeigertStaBLab, LMU Munich, Munich, Germany.
Wolfgang BöckerMusculoskeletal University Center Munich (MUM), LMU University, Munich, Germany.
Alexander M KepplerMusculoskeletal University Center Munich (MUM), LMU University, Munich, Germany. alexander.keppler@med.uni-muenchen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimIntramedullary nailing is a common and safe procedure in the treatment of distal tibial shaft fractures. It is often accompanied with maltorsion of the tibia due to insufficient intraoperatively available and objective diagnostic tools. Therefore there´s high need for reliable tools for intraoperative torsional control. Radiographic parameters such as the Cortical Step Sign (CSS) and the Diameter Difference Sign (DSS) may serve for diagnosing relevant maltorsion intraoperatively. The aim of this study was to investigate the effect of maltorsion on CSS and DSS parameters in a distal tibial fracture model and to construct a prognostic model to detect maltorsion.

methodsA distal tibial shaft fracture (AO/OTA type “A”) was set on 19 human tibias. Torsion was gradually adjusted from 0° to 30° in external and internal torsion. Images were acquired with a C-arm in two planes and transferred to a PC for measurement of medial cortical thickness (MCT), lateral cortical thickness (LCT), tibial diameter (TD) in a.p., and anterior cortical thickness (ACT), posterior cortical thickness (PCT), and transverse diameter (TD lat.) in lateral view of the proximal and distal fragment.

resultsFor the various levels of torsion significant differences for each of the values of the examined variables could be shown. Highest visibility was found for ACT, TD a.p. and TD lat. Highest correlation of radiographic difference and maltorsion was found in internal torsion (TD lat./ TD a.p.). A threshold of less than 2 mm led to a probability to detect maltorsion of 0.7. ROC for the lateral model was better than for the a.p. model (0.866 vs. 0.829). TD lat. performed best regarding ROC in single parameter evaluation (0.778). Best prediction for relevant maltorsion was obtained with TD a.p. and TD lat.

conclusionCSS and DSS are useful tools for detection of maltorsion in distal tibial shaft fractures. The parameters can be easily collected and therefore represent promising parameters for intraoperative torsional control.

Indexed as

Fracture Fixation, IntramedullaryTibiaTibial FracturesCadaverFemaleHumansMaleRadiographyCadaveric studyCortical step signDiameter difference signDistal tibial shaft fracturesFluoroscopyIntramedullary nailingIntraoperative torsional assessmentTibial malrotation

Identifiers

PMID41627448
PMCPMC12864369

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.