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논문 기본 정보

자료유형
학술저널
저자정보
Jiyeon Park (Catholic Kwandong University College of Medicine) Hyung Rae Cho (Hanyang University College of Medicine) Keum Nae Kang (National Police Hospital) Kun Woong Choi (National Police Hospital) Young Soon Choi (Catholic Kwandong University College of Medicine) Hye-Won Jeong (Catholic Kwandong University College of Medicine) Jungmin Yi (Catholic Kwandong University College of Medicine) Young Uk Kim (Catholic Kwandong University College of Medicine)
저널정보
대한통증학회 The Korean Journal of Pain The Korean Journal of Pain 제34권 제2호
발행연도
2021.1
수록면
229 - 233 (5page)

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Background: Iliotibial band friction syndrome (ITBFS) is a common disorder of the lateral knee. Previous research has reported that the iliotibial band (ITB) thickness (ITBT) is correlated with ITBFS, and ITBT has been considered to be a key morphologic parameter of ITBFS. However, the thickness is different from inflammatory hypertrophy. Thus, we made the ITB cross-sectional area (ITBCSA) a new morphological parameter to assess ITBFS. Methods: Forty-three patients with ITBFS group and from 43 normal group who underwent T1W magnetic resonance imaging were enrolled. The ITBCSA was measured as the cross-sectional area of the ITB that was most hypertrophied in the magnetic resonance axial images. The ITBT was measured as the thickest site of ITB. Results: The mean ITBCSA was 25.24 ± 6.59 mm2 in the normal group and 38.75 ± 9.11 mm2 in the ITBFS group. The mean ITBT was 1.94 ± 0.41 mm in the normal group and 2.62 ± 0.46 mm in the ITBFS group. Patients in ITBFS group had significantly higher ITBCSA (P < 0.001) and ITBT (P < 0.001) than the normal group. A receiver operator characteristic curve analysis demonstrated that the best cut-off value of the ITBT was 2.29 mm, with 76.7% sensitivity, 79.1% specificity, and area under the curve (AUC) 0.88. The optimal cut-off score of the ITBCSA was 30.66 mm2, with 79.1% sensitivity, 79.1% specificity, and AUC 0.87. Conclusions: ITBCSA is a new and sensitive morphological parameter for diagnosing ITBFS, and may even be more accurate than ITBT.

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