Literature DB >> 26102389

Quantification of Fatty Degeneration Within the Supraspinatus Muscle by Using a 2-Point Dixon Method on 3-T MRI.

Taiki Nozaki1,2, Atsushi Tasaki3, Saya Horiuchi1, Chiharu Osakabe1, Sachiko Ohde4, Yukihisa Saida1, Hiroshi Yoshioka2.   

Abstract

OBJECTIVE: The objective of this study was to quantify fatty degeneration of the supraspinatus muscle by using a 2-point Dixon technique on 3-T MRI and to evaluate the correlation of muscular atrophy and fat fraction values among different severities of rotator cuff tears across differing ages and sexes. SUBJECTS AND METHODS: Patients with shoulder pain (n = 359) were evaluated by shoulder MRI on a 3-T unit, including a 2-point Dixon sequence for quantification of muscle atrophy and fatty degeneration within the supraspinatus muscle. Two board-certified musculoskeletal radiologists evaluated the degree of rotator cuff tears in three groups: full-thickness tear (n = 63), partial tear (n = 54), and no tear (n = 242). In quantitative analysis, we measured signal intensity values of in-phase images (SIn) and fat images (SFat) within the supraspinatus muscle, and the fat fraction was calculated as SFat/SIn. The Thomazeau occupation ratio was used as a quantitative index of muscular atrophy. Fat fraction and muscle atrophy were evaluated among these groups.
RESULTS: Fat fraction values were changed with the degree of rotator cuff tears and were (mean ± SD) 0.258 ± 0.123 among patients with full-thickness tears, 0.166 ± 0.067 among patients with partial tears, and 0.128 ± 0.061 among patients with no tears, with statistically significant differences (p < 0.001). The values were higher in female than in male patients in all groups. The Pearson correlation coefficient was 0.348 between age and fat fraction value, and 0.664 between muscular atrophy rate and fat fraction value.
CONCLUSION: An increase in supraspinatus fatty degeneration was statistically significantly correlated with severity of supraspinatus tears and moderately correlated with muscular atrophy. Fatty degeneration tends to progress more rapidly than muscular atrophy in female patients, with statistically significant sex differences.

Entities:  

Keywords:  MRI; fatty degeneration; muscular atrophy; quantification; rotator cuff tear

Mesh:

Year:  2015        PMID: 26102389     DOI: 10.2214/AJR.14.13518

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  10 in total

Review 1.  Advancing imaging technologies for patients with spinal pain: with a focus on whiplash injury.

Authors:  James M Elliott; Mark J Hancock; Rebecca J Crawford; Andrew C Smith; David M Walton
Journal:  Spine J       Date:  2017-07-31       Impact factor: 4.166

Review 2.  Classifications in Brief: Goutallier Classification of Fatty Infiltration of the Rotator Cuff Musculature.

Authors:  Jeremy S Somerson; Jason E Hsu; Jacob D Gorbaty; Albert O Gee
Journal:  Clin Orthop Relat Res       Date:  2015-11-19       Impact factor: 4.176

3.  Fat quantification of multifidus muscle using T2-weighted Dixon: which measurement methods are best suited for revealing the relationship between fat infiltration and herniated nucleus pulposus.

Authors:  Seul Ki Lee; Joon-Yong Jung; Yeo Ryang Kang; Jin-Hee Jung; Jae Jun Yang
Journal:  Skeletal Radiol       Date:  2019-07-24       Impact factor: 2.199

Review 4.  Skeletal Muscle Quantitative Nuclear Magnetic Resonance Imaging and Spectroscopy as an Outcome Measure for Clinical Trials.

Authors:  Pierre G Carlier; Benjamin Marty; Olivier Scheidegger; Paulo Loureiro de Sousa; Pierre-Yves Baudin; Eduard Snezhko; Dmitry Vlodavets
Journal:  J Neuromuscul Dis       Date:  2016-03-03

5.  Fracture of ankle: MRI using opposed-phase imaging obtained from turbo spin echo modified Dixon image shows improved sensitivity.

Authors:  Jin Hee You; In Hwan Kim; Jinwoo Hwang; Hye Sun Lee; Eun Hae Park
Journal:  Br J Radiol       Date:  2018-06-05       Impact factor: 3.039

Review 6.  Rotator cuff tear degeneration and the role of fibro-adipogenic progenitors.

Authors:  Obiajulu Agha; Agustin Diaz; Michael Davies; Hubert T Kim; Xuhui Liu; Brian T Feeley
Journal:  Ann N Y Acad Sci       Date:  2020-07-29       Impact factor: 5.691

7.  Pelvic muscle size and myosteatosis: Relationship with age, gender, and obesity.

Authors:  Thomas Pacicco; Shayna Ratner; Yin Xi; Takeshi Yokoo; David Fetzer; Orhan K Oz; Craig D Rubin; Avneesh Chhabra
Journal:  Indian J Radiol Imaging       Date:  2019 Apr-Jun

8.  Ultrasound shear wave elastography and its association with rotator cuff tear characteristics.

Authors:  Rebekah L Lawrence; Matthew C Ruder; Vasilios Moutzouros; Eric C Makhni; Stephanie J Muh; Daniel Siegal; Steven B Soliman; Marnix van Holsbeeck; Michael J Bey
Journal:  JSES Int       Date:  2021-01-27

9.  Patterns of Age-Associated Degeneration Differ in Shoulder Muscles.

Authors:  Yotam Raz; Jan F Henseler; Arjen Kolk; Muhammad Riaz; Peer van der Zwaal; Jochem Nagels; Rob G H H Nelissen; Vered Raz
Journal:  Front Aging Neurosci       Date:  2015-12-22       Impact factor: 5.750

10.  Threshold-based quantification of fatty degeneration in the supraspinatus muscle on MRI as an alternative method to Goutallier classification and single-voxel MR spectroscopy.

Authors:  Dokwan Lee; Ki-Taek Hong; Wonhee Lee; Eun Kyung Khil; Guen Young Lee; Jung-Ah Choi; Yongnam Song
Journal:  BMC Musculoskelet Disord       Date:  2020-06-09       Impact factor: 2.362

  10 in total

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