Quantification of shoulder muscle intramuscular fatty infiltration on T1-weighted MRI: a viable alternative to the Goutallier classification system.

Quantification of shoulder muscle intramuscular fatty infiltration on T1-weighted MRI: a viable alternative to the Goutallier classification system.
复制标题

DOI:
10.1007/s00256-018-3057-7
复制
发表时间:
2019-04
期刊:
影响因子:
2.1
通讯作者:
Zhuo J
Zhuo J
中科院分区:
医学4区
文献类型:
--
作者:
Davis DL;Kesler T;Gilotra MN;Almardawi R;Hasan SA;Gullapalli RP;Zhuo J

文献摘要

参考文献

被引文献

相似文献

量化肩袖肌内脂肪浸润对肩袖撕裂患者的临床决策具有重要意义。半定量的Goutallier分类系统是最常用的分类方法,但可靠性有限。因此,我们试图测试一个免费的模糊c均值分割软件程序(1),以量化t1加权MR图像上肩部肌肉内脂肪浸润的可靠性;(2)通过6点Dixon MRI与脂肪分数的相关性。我们进行了一项前瞻性横断面研究,通过模糊c均值分割和6点Dixon MRI测量42块肩部肌肉的斜矢状T1 MR图像上可见肌肉内脂肪面积百分比。确定了观察者内部和观察者之间的信度。并对模糊c均值与6点Dixon肌内脂肪浸润指标进行相关性分析。我们发现,通过模糊c均值分割量化可见肌内脂肪面积百分比和通过6点Dixon MRI量化脂肪分数的观察者间信度分别为0.947和0.951。模糊c均值分割法定量可见肌内脂肪面积百分比和6点Dixon MRI定量脂肪分数的观察者内信度分别为0.871和0.979。我们发现模糊c均值分割与6点Dixon技术有很强的相关性;个体肌肉R = 0.850, p < 0.001;r = 0.977, p < 0.002。通过对t1加权序列进行模糊c均值分割定量肌内脂肪浸润,结果表明其可靠性好,且与6点Dixon MRI的脂肪分数有很强的相关性。定量模糊c均值分割是半定量Goutallier分类系统的可行替代方案。
Quantification of rotator cuff intramuscular fatty infiltration is important for clinical decision making in patients with rotator cuff tear. The semi-quantitative Goutallier classification system is the most commonly used method, but has limited reliability. Therefore, we sought to test a freely available fuzzy C-means segmentation software program (1) for reliability of quantification of shoulder intramuscular fatty infiltration on T1-weighted MR images and (2) for correlation to fat fraction by 6-point Dixon MRI. We performed a prospective cross-sectional study to measure visible intramuscular fat area percentage on oblique sagittal T1 MR images by fuzzy C-means segmentation and fat fraction maps by 6-point Dixon MRI for 42 shoulder muscles. Intra- and inter-observer reliability was determined. Correlative analysis for fuzzy C-means and 6-point Dixon intramuscular fatty infiltration measures was also performed. We found that inter-observer reliability for quantification of visible intramuscular fat area percentage by fuzzy C-means segmentation and fat fraction by 6-point Dixon MRI was 0.947 and 0.951, respectively. The intra-observer reliability for quantification of visible intramuscular fat area percentage by fuzzy C-means segmentation and fat fraction by 6-point Dixon MRI was 0.871 and 0.979, respectively. We found strong correlation between fuzzy C-means segmentation and 6-point Dixon techniques; r = 0.850, p < 0.001 by individual muscle; and r = 0.977, p < 0.002 by study subject. Quantification of intramuscular fatty infiltration by fuzzy C-means segmentation on T1-weighted sequences demonstrates excellent reliability and strong correlation to fat fraction by 6-point Dixon MRI. Quantitative fuzzy C-means segmentation is a viable alternative to the semi-quantitative Goutallier classification system.
DOI: 10.1186/1471-2474-15-4
发表时间: 2014-01-08
影响因子: 2.3
作者:
Jain NB;Higgins LD;Losina E;Collins J;Blazar PE;Katz JN
通讯作者: Katz JN
DOI: 10.1016/j.apmr.2016.07.027
发表时间: 2017-01
影响因子: 4.3
作者:
Sions, J. Megan;Coyle, Peter C.;Velasco, Teonette O.;Elliott, James M.;Hicks, Gregory E.
通讯作者: Hicks, Gregory E.
一种使用非局部信息分割 MR 图像的改进模糊 C 均值方法
DOI: 10.3233/thc-161208
发表时间: 2016-01-01
影响因子: 1.6
作者:
Feng, Yuan;Guo, Hao;Hu, Yanle
通讯作者: Hu, Yanle
DOI: 10.1016/s0736-0266(02)00208-5
发表时间: 2003-05-01
影响因子: 2.8
作者:
Uhthoff, HK;Matsumoto, F;Himori, K
通讯作者: Himori, K
DOI: 10.2106/jbjs.f.00749
发表时间: 2007-08-01
影响因子: 5.3
作者:
Liem, Dennis;Lichtenberg, Sven;Habermeyer, Peter
通讯作者: Habermeyer, Peter