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Erschienen in: Knee Surgery, Sports Traumatology, Arthroscopy 11/2016

29.06.2016 | Knee

Characterization of patellar maltracking using dynamic kinematic CT imaging in patients with patellar instability

verfasst von: Miho J. Tanaka, John J. Elias, Ariel A. Williams, Shadpour Demehri, Andrew J. Cosgarea

Erschienen in: Knee Surgery, Sports Traumatology, Arthroscopy | Ausgabe 11/2016

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Abstract

Purpose

Little has been reported on the relationship between patellar maltracking and instability. Patellar maltracking has been subjectively described with the “J sign” but is difficult to assess objectively using traditional imaging. Dynamic kinematic computed tomography (DKCT) allows dynamic assessment of the patellofemoral joint. DKCT was used to visualize and quantify patellar maltracking patterns, and severity of maltracking was correlated with the presence or absence of patellar instability symptoms.

Methods

Seventy-six knees in 38 patients were analysed using DKCT. Maltracking was defined as deviation of the patella from the trajectory of the trochlear groove and was characterized by patellar bisect offset, which was measured at 10° intervals of knee flexion during active flexion and extension. Bisect offset measurements were grouped by number of quadrants of maximum lateral patellar motion, with one, two, and three quadrants corresponding to 75–99, 100–125, and >125 %, respectively. Patellar instability symptoms were correlated with maltracking severity.

Results

Two knees were excluded because of poor imaging quality. Fifty of 74 knees had patellar instability, and 13 patients had bilateral symptoms. Of these, four (8 %) had normal tracking patterns; 41 (82 %) had increased lateral translation in extension, which we termed the J-sign pattern; 4 (8 %) had persistent lateralization of the patella throughout range of motion; and 1 had increased lateral translation in flexion. In knees with the J-sign pattern, degree of maltracking was graded by severity: J1 (n = 24), J2 (n = 19), and J3 (n = 15). The sensitivities of J-sign grades in predicting patellar instability symptoms were 50 % (J1), 80 % (J2), and 93 % (J3) (p < 0.01). There were significant differences in sensitivity between knees with no J sign or J1 versus J2 or J3 (p = 0.02).

Conclusion

DKCT showed several patellar maltracking patterns in patients with patellar instability. A J-sign pattern with more than two quadrants of lateral translation correlated with the presence of patellar instability symptoms. Incorporation of this approach of objectively quantifying maltracking patterns is recommended in the evaluation of patellofemoral instability.

Level of evidence

IV.
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Metadaten
Titel
Characterization of patellar maltracking using dynamic kinematic CT imaging in patients with patellar instability
verfasst von
Miho J. Tanaka
John J. Elias
Ariel A. Williams
Shadpour Demehri
Andrew J. Cosgarea
Publikationsdatum
29.06.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Knee Surgery, Sports Traumatology, Arthroscopy / Ausgabe 11/2016
Print ISSN: 0942-2056
Elektronische ISSN: 1433-7347
DOI
https://doi.org/10.1007/s00167-016-4216-9

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