PURPOSE: To determine the normal chronologic changes in fatty marrow conversion of the proximal femoral metaphysis at magnetic resonance (MR) imaging. MATERIALS AND METHODS: The "marrow conversion index," (signal intensity of the proximal femoral metaphysis divided by signal intensity of the greater trochanter) x 100, was measured in 182 hips of 91 patients who had no evidence of osteonecrosis or diseases involving bone marrow, no history of steroid treatment, and no other risk factors for osteonecrosis. The results were evaluated according to patient age and sex. RESULTS: The index showed a progressive linear increase with age regardless of sex. The index was 65.4% +/- 5.6 (standard deviation) in patients aged 15-19 years and increased monotonously with age to 87.5% +/- 7.0 in patients aged 60-79 years. Simple linear regression of the index according to age group showed that the marrow conversion index is roughly equal to 63 + 4 x Z (p < .001), where Z is 1.5 for patients aged 15-19 years, 2.0 for patients aged 20-29 years, 3.0 for patients aged 30-39 years, 4.0 for patients aged 40-49 years, 5.0 for patients aged 50-59 years, and 6.0 for patients aged 60-79 years. CONCLUSION: There is a linear association of marrow conversion index and age. The estimating equation may provide baseline information for the marrow conversion index.
PURPOSE: To determine the normal chronologic changes in fatty marrow conversion of the proximal femoral metaphysis at magnetic resonance (MR) imaging. MATERIALS AND METHODS: The "marrow conversion index," (signal intensity of the proximal femoral metaphysis divided by signal intensity of the greater trochanter) x 100, was measured in 182 hips of 91 patients who had no evidence of osteonecrosis or diseases involving bone marrow, no history of steroid treatment, and no other risk factors for osteonecrosis. The results were evaluated according to patient age and sex. RESULTS: The index showed a progressive linear increase with age regardless of sex. The index was 65.4% +/- 5.6 (standard deviation) in patients aged 15-19 years and increased monotonously with age to 87.5% +/- 7.0 in patients aged 60-79 years. Simple linear regression of the index according to age group showed that the marrow conversion index is roughly equal to 63 + 4 x Z (p < .001), where Z is 1.5 for patients aged 15-19 years, 2.0 for patients aged 20-29 years, 3.0 for patients aged 30-39 years, 4.0 for patients aged 40-49 years, 5.0 for patients aged 50-59 years, and 6.0 for patients aged 60-79 years. CONCLUSION: There is a linear association of marrow conversion index and age. The estimating equation may provide baseline information for the marrow conversion index.
Authors: Kiran A Kumar; Kyung K Peck; Sasan Karimi; Eric Lis; Andrei I Holodny; Mark H Bilsky; Yoshiya Yamada Journal: Technol Cancer Res Treat Date: 2017-04-28
Authors: Jeremy T Hines; Woo Lam Jo; Quanjun Cui; Michael A Mont; Kyung Hoi Koo; Edward Y Cheng; Stuart B Goodman; Yong Chan Ha; Phillippe Hernigou; Lynne C Jones; Shin Yoon Kim; Takashi Sakai; Nobuhiko Sugano; Takuaki Yamamoto; Mel S Lee; Dewei Zhao; Wolf Drescher; Tae Young Kim; Young Kyun Lee; Byung Ho Yoon; Seung Hoon Baek; Wataru Ando; Hong Seok Kim; Jung Wee Park Journal: J Korean Med Sci Date: 2021-06-21 Impact factor: 2.153
Authors: Sébastien Flajollet; Tian V Tian; Ludovic Huot; Nathalie Tomavo; Anne Flourens; Muriel Holder-Espinasse; Marion Le Jeune; Patrick Dumont; David Hot; Frédéric Mallein-Gerin; Martine Duterque-Coquillaud Journal: PLoS One Date: 2012-11-14 Impact factor: 3.240