Determining the optimal timing of screening spinal cord ultrasonography to detect filum terminale lipoma in infants

Salman S. Albakheet, Haesung Yoon, Mi Jung Lee, Myung Joon Kim, Eun Kyung Park, Kyu Won Shim, Dong Seok Kim, Ho Sun Eun, Kyunghwa Han, Hyun Joo Shin

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: The purpose of this study was to identify the optimal timing for screening spinal cord ultrasonography (US) to detect filum terminale lipoma in infants. Methods: We retrospectively reviewed infants (<12 months old) who underwent repeated spinal cord US between April 2011 and January 2019. We excluded infants if they only had one US examination, or if they had lesions other than filum terminale lipoma. Infants with filum terminale lipoma on magnetic resonance imaging were included in the lipoma group and the others in the control group. A linear mixed model was used to assess differences in the growth pattern of filum terminale thickness by age and group. The cutoff thickness on US and its diagnostic performance were assessed according to age. Results: Among 442 infants with 901 US examinations, 46 were included in the lipoma group and 58 in the control group. Sixty-seven infants had unmeasurable filum terminale thickness on initial US, including 55 neonates (82.1%) before 1 month of age. The lipoma group had significantly greater filum terminale thickness than the control group (P<0.001). Thickness increased with age in the lipoma group (P=0.027). The sensitivity of US was 87.5% and the area under the receiver operating characteristic curve was 0.949 (95% confidence interval, 0.849 to 0.991) with a cutoff value of 1.1 mm in 4-to 6-month-old infants. Conclusion: Screening spinal cord US could effectively diagnose filum terminale lipoma in 4-to 6-month-old infants with a cutoff thickness of 1.1 mm. Spinal cord US can be used to screen young infants with intraspinal abnormalities.

Original languageEnglish
Pages (from-to)367-375
Number of pages9
JournalUltrasonography
Volume39
Issue number4
DOIs
Publication statusPublished - 2020 Oct

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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