Cerebellar tonsil ectopia measurement in type I Chiari malformation patients show poor inter-operator reliability

Autor: Mark G. Luciano, Francis Loth, Brandon G. Rocque, Bermans J. Iskandar, R. Shane Tubbs, Philip A. Allen, Braden J. Lawrence, Jason A. Chen, Alexander C. Bunck, Aintzane Urbizu, Casey Madura, Jan Robert Kröger, John N. Oshinski, Bryn A. Martin, Richard G. Ellenbogen
Rok vydání: 2018
Předmět:
Zdroj: Fluids and Barriers of the CNS
Fluids and Barriers of the CNS, Vol 15, Iss 1, Pp 1-10 (2018)
ISSN: 2045-8118
Popis: Background Type 1 Chiari malformation (CM-I) has been historically defined by cerebellar tonsillar position (TP) greater than 3–5 mm below the foramen magnum (FM). Often, the radiographic findings are highly variable, which may influence the clinical course and patient outcome. In this study, we evaluate the inter-operator reliability (reproducibility) of MRI-based measurement of TP in CM-I patients and healthy controls. Methods Thirty-three T2-weighted MRI sets were obtained for 23 CM-I patients (11 symptomatic and 12 asymptomatic) and 10 healthy controls. TP inferior to the FM was measured in the mid-sagittal plane by seven expert operators with reference to McRae’s line. Overall agreement between the operators was quantified by intraclass correlation coefficient (ICC). Results The mean and standard deviation of cerebellar TP measurements for asymptomatic (CM-Ia) and symptomatic (CM-Is) patients in mid-sagittal plane was 6.38 ± 2.19 and 9.57 ± 2.63 mm, respectively. TP measurements for healthy controls was 0.48 ± 2.88 mm. The average range of TP measurements for all data sets analyzed was 7.7 mm. Overall operator agreement for TP measurements was relatively high with an ICC of 0.83. Conclusion The results demonstrated a large average range (7.7 mm) of measurements among the seven expert operators and support that, if economically feasible, two radiologists should make independent measurements before radiologic diagnosis of CM-I and surgery is contemplated. In the future, an objective diagnostic parameter for CM-I that utilizes automated algorithms and results in smaller inter-operator variation may improve patient selection.
Databáze: OpenAIRE
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