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Regional anesthesia and pain medicine · 2024

Correlation between epidural space depth measured with ultrasound and MRI compared to clinical loss of resistance when performing lumbar epidural steroid injection.

СтатьяСравнительное исследованиеПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Singh Naileshni, Pritzlaff Scott, Bautista Barry, Yan Charley, Wilson Machelle D, Chang Jennifer, Fishman Scott M

Аннотация

BACKGROUND: This prospective study assessed the accuracy of MRI and ultrasound (US) measurements as a preprocedural assessment tool for predicting clinical loss of resistance depth (CLORD) during fluoroscopy-guided lumbar epidural steroid injections (ESIs).

MATERIALS AND METHODS: Sixty patients enrolled received lumbar ESIs at an academic chronic pain clinic. The MRI measurement calculated the distance between the skin and the posterior epidural space, while US measurements included transverse and parasagittal oblique views of the interlaminar space. The epidural space measurements were compared with the CLORD during the performance of the prone epidural injections. The differences in measurements were analyzed using two one-sided tests for equivalency with a 0.5 equivalency margin. The intraclass correlation coefficients between CLORD and the imaging modalities were estimated using mixed effects models.

RESULTS: MRI was equivalent to CLORD with a mean difference of -0.2 cm (95% CI -0.39 to -0.11). US transverse and US parasagittal oblique measurements were not equivalent to and underestimated CLORD with mean differences of -0.98 cm (90% CI -1.8 to -0.77) and -0.79 cm (90% CI -1.0 to -5.9), respectively. The intraclass correlation coefficients between MRI and CLORD were the highest at 0.85, compared with 0.65 and 0.73 for transverse and parasagittal oblique US views, respectively.

CONCLUSIONS: MRI measurements are preferable over US for preprocedural assessment of patients receiving lumbar ESIs for predicting CLORD.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты