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Published in: Magnetic Resonance Materials in Physics, Biology and Medicine 6/2019

01-12-2019 | Magnetic Resonance Imaging | Short Communication

A quantitative alternative to the Goutallier classification system using Lava Flex and Ideal MRI techniques: volumetric intramuscular fatty infiltration of the supraspinatus muscle, a cadaveric study

Authors: Jose H. Trevino III, Krzysztof R. Gorny, Angel Gomez-Cintron, Chunfeng Zhao, Hugo Giambini

Published in: Magnetic Resonance Materials in Physics, Biology and Medicine | Issue 6/2019

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Abstract

Objective

The Goutallier classification system is the most commonly used method for grading intramuscular fatty infiltration in rotator cuff tears. This grading system presents low inter-observer reliability and an inability to provide quantitative and repeatable outcomes for intramuscular fat. We determined the correlation and reliability of two methods, the Lava Flex and Ideal IQ MRI techniques, in quantifying volumetric intramuscular fat, while also comparing to the Goutallier method.

Materials and methods

The supraspinatus muscles of seventeen cadaveric shoulders were scanned using the Lava Flex and Ideal IQ MRI imaging protocols. Histological analysis was performed on the same muscles. Agreement, reliability, and correlation analyses were performed to compare all outcomes.

Results

The Lava Flex protocol took an average of ~ 4 min, while the Ideal IQ required about ~ 11 min to complete. Bland–Altman analysis showed good agreement between the Lava Flex and Ideal IQ [LOA (− 0.10 and 0.05)], and ICC analyses showed excellent reliability (ICC (1,1) 0.948; ICC (2,1) 0.947). There was a 91% correlation between the Lava Flex and Ideal IQ MR protocols. Weighted Kappa analysis between histology and the Goutallier classification showed fair-to-moderate agreement.

Discussion

The Lava Flex technique, taking about 30% of the acquisition time, may prevent motion artifacts in outcomes associated with the longer Ideal IQ technique. However, potential magnetic field inhomogeneities should be considered. The Lava Flex technique may be a faster and valid alternative to the Goutallier classification system.
Literature
1.
go back to reference Fehringer EV, Sun JF, VanOeveren LS, Keller BK, Matsen FA (2008) Full-thickness rotator cuff tear prevalence and correlation with function and co-morbidities in patients sixty-five years and older. J Shoulder Elbow Surg 17(6):881–885CrossRef Fehringer EV, Sun JF, VanOeveren LS, Keller BK, Matsen FA (2008) Full-thickness rotator cuff tear prevalence and correlation with function and co-morbidities in patients sixty-five years and older. J Shoulder Elbow Surg 17(6):881–885CrossRef
2.
go back to reference McElvany MD, McGoldrick E, Gee AO, Neradilek MB, Matsen FA (2015) Rotator cuff repair published evidence on factors associated with repair integrity and clinical outcome. Am J Sports Med 43(2):491–500CrossRef McElvany MD, McGoldrick E, Gee AO, Neradilek MB, Matsen FA (2015) Rotator cuff repair published evidence on factors associated with repair integrity and clinical outcome. Am J Sports Med 43(2):491–500CrossRef
4.
go back to reference Gladstone JN, Bishop JY, Lo IKY, Flatow EL (2007) Fatty infiltration and atrophy of the rotator cuff do not improve after rotator cuff repair and correlate with poor functional outcome. Am J Sports Med 35(5):719–728CrossRef Gladstone JN, Bishop JY, Lo IKY, Flatow EL (2007) Fatty infiltration and atrophy of the rotator cuff do not improve after rotator cuff repair and correlate with poor functional outcome. Am J Sports Med 35(5):719–728CrossRef
5.
go back to reference Ashry R, Schweitzer ME, Cunningham P, Cohen J, Babb J, Cantos A (2007) Muscle atrophy as a consequence of rotator cuff tears: should we compare the muscles of the rotator cuff with those of the deltoid? Skeletal Radiol 36(9):841–845CrossRef Ashry R, Schweitzer ME, Cunningham P, Cohen J, Babb J, Cantos A (2007) Muscle atrophy as a consequence of rotator cuff tears: should we compare the muscles of the rotator cuff with those of the deltoid? Skeletal Radiol 36(9):841–845CrossRef
6.
go back to reference Goutallier D, Postel JM, Bernageau J, Lavau L, Voisin MC (1994) Fatty muscle degeneration in cuff ruptures Pre- and postoperative evaluation by CT scan. Clin Orthop Relat Res 304:78–83 Goutallier D, Postel JM, Bernageau J, Lavau L, Voisin MC (1994) Fatty muscle degeneration in cuff ruptures Pre- and postoperative evaluation by CT scan. Clin Orthop Relat Res 304:78–83
7.
go back to reference Davis DL, Kesler T, Gilotra MN, Almardawi R, Hasan SA, Gullapalli RP et al (2018) Quantification of shoulder muscle intramuscular fatty infiltration on T1-weighted MRI: a viable alternative to the Goutallier classification system. Skeletal Radiol 48:535–541CrossRef Davis DL, Kesler T, Gilotra MN, Almardawi R, Hasan SA, Gullapalli RP et al (2018) Quantification of shoulder muscle intramuscular fatty infiltration on T1-weighted MRI: a viable alternative to the Goutallier classification system. Skeletal Radiol 48:535–541CrossRef
8.
go back to reference Gilbert F, Bohm D, Eden L, Schmalzl J, Meffert RH, Kostler H et al (2016) Comparing the MRI-based Goutallier Classification to an experimental quantitative MR spectroscopic fat measurement of the supraspinatus muscle. BMC Musculoskelet Disord 17(1):355CrossRef Gilbert F, Bohm D, Eden L, Schmalzl J, Meffert RH, Kostler H et al (2016) Comparing the MRI-based Goutallier Classification to an experimental quantitative MR spectroscopic fat measurement of the supraspinatus muscle. BMC Musculoskelet Disord 17(1):355CrossRef
9.
go back to reference Lippe J, Spang JT, Leger RR, Arciero RA, Mazzocca AD, Shea KP (2012) Inter-rater agreement of the goutallier, patte, and warner classification scores using preoperative magnetic resonance imaging in patients with rotator cuff tears. Arthroscopy J Arthroscopic Relat Surg 28(2):154–159CrossRef Lippe J, Spang JT, Leger RR, Arciero RA, Mazzocca AD, Shea KP (2012) Inter-rater agreement of the goutallier, patte, and warner classification scores using preoperative magnetic resonance imaging in patients with rotator cuff tears. Arthroscopy J Arthroscopic Relat Surg 28(2):154–159CrossRef
10.
go back to reference Fischer MA, Nanz D, Shimakawa A, Schirmer T, Guggenberger R, Chhabra A et al (2013) Quantification of muscle fat in patients with low back pain: comparison of multi-echo MR imaging with single-voxel MR spectroscopy. Radiology 266(2):555–563CrossRef Fischer MA, Nanz D, Shimakawa A, Schirmer T, Guggenberger R, Chhabra A et al (2013) Quantification of muscle fat in patients with low back pain: comparison of multi-echo MR imaging with single-voxel MR spectroscopy. Radiology 266(2):555–563CrossRef
11.
go back to reference Lee S, Lucas RM, Lansdown DA, Nardo L, Lai A, Link TM et al (2015) Magnetic resonance rotator cuff fat fraction and its relationship with tendon tear severity and subject characteristics. J Shoulder Elbow Surg 24(9):1442–1451CrossRef Lee S, Lucas RM, Lansdown DA, Nardo L, Lai A, Link TM et al (2015) Magnetic resonance rotator cuff fat fraction and its relationship with tendon tear severity and subject characteristics. J Shoulder Elbow Surg 24(9):1442–1451CrossRef
12.
go back to reference Giambini H, Hatta T, Gorny KR, Widholm P, Karlsson A, Leinhard OD et al (2018) Intramuscular fat infiltration evaluated by magnetic resonance imaging predicts the extensibility of the supraspinatus muscle. Muscle Nerve 57(1):129–135CrossRef Giambini H, Hatta T, Gorny KR, Widholm P, Karlsson A, Leinhard OD et al (2018) Intramuscular fat infiltration evaluated by magnetic resonance imaging predicts the extensibility of the supraspinatus muscle. Muscle Nerve 57(1):129–135CrossRef
13.
go back to reference Rydell J, Knutsson H, Pettersson J, Johansson A, Farneback G, Dahlqvist O et al (2007) Phase sensitive reconstruction for water/fat separation in MR imaging using inverse gradient. Med Image Comput Comput Assist Interv 10(Pt 1):210–218PubMed Rydell J, Knutsson H, Pettersson J, Johansson A, Farneback G, Dahlqvist O et al (2007) Phase sensitive reconstruction for water/fat separation in MR imaging using inverse gradient. Med Image Comput Comput Assist Interv 10(Pt 1):210–218PubMed
14.
go back to reference Andersson T, Romu T, Karlsson A, Noren B, Forsgren MF, Smedby O et al (2015) Consistent intensity inhomogeneity correction in water-fat MRI. J Magn Reson Imaging 42(2):468–476CrossRef Andersson T, Romu T, Karlsson A, Noren B, Forsgren MF, Smedby O et al (2015) Consistent intensity inhomogeneity correction in water-fat MRI. J Magn Reson Imaging 42(2):468–476CrossRef
15.
go back to reference Yushkevich PA, Piven J, Hazlett HC, Smith RG, Ho S, Gee JC et al (2006) User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 31(3):1116–1128CrossRef Yushkevich PA, Piven J, Hazlett HC, Smith RG, Ho S, Gee JC et al (2006) User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 31(3):1116–1128CrossRef
16.
go back to reference Kim HM, Galatz LM, Lim C, Havlioglu N, Thomopoulos S (2012) The effect of tear size and nerve injury on rotator cuff muscle fatty degeneration in a rodent animal model. J Shoulder Elbow Surg 21(7):847–858CrossRef Kim HM, Galatz LM, Lim C, Havlioglu N, Thomopoulos S (2012) The effect of tear size and nerve injury on rotator cuff muscle fatty degeneration in a rodent animal model. J Shoulder Elbow Surg 21(7):847–858CrossRef
17.
go back to reference Post M, Silver R, Singh M (1983) Rotator cuff tear. Diagnosis and treatment. Clin Orthop Relat Res 173:78–91 Post M, Silver R, Singh M (1983) Rotator cuff tear. Diagnosis and treatment. Clin Orthop Relat Res 173:78–91
18.
go back to reference Myles PS, Cui J (2007) Using the Bland-Altman method to measure agreement with repeated measures. Br J Anaesth 99(3):309–311CrossRef Myles PS, Cui J (2007) Using the Bland-Altman method to measure agreement with repeated measures. Br J Anaesth 99(3):309–311CrossRef
19.
go back to reference Koo TK, Li MY (2017) A guideline of selecting and reporting intraclass correlation coefficients for reliability research (vol 15, pg 155, 2016). J Chiropractic Med 16(4):346–346CrossRef Koo TK, Li MY (2017) A guideline of selecting and reporting intraclass correlation coefficients for reliability research (vol 15, pg 155, 2016). J Chiropractic Med 16(4):346–346CrossRef
20.
go back to reference McGraw KO, Wong SP (1996) Forming inferences about some intraclass correlation coefficients. Psychol Methods 1(1):30–46CrossRef McGraw KO, Wong SP (1996) Forming inferences about some intraclass correlation coefficients. Psychol Methods 1(1):30–46CrossRef
21.
go back to reference Yamamoto A, Takagishi K, Osawa T, Yanagawa T, Nakajima D, Shitara H et al (2010) Prevalence and risk factors of a rotator cuff tear in the general population. J Shoulder Elbow Surg 19(1):116–120CrossRef Yamamoto A, Takagishi K, Osawa T, Yanagawa T, Nakajima D, Shitara H et al (2010) Prevalence and risk factors of a rotator cuff tear in the general population. J Shoulder Elbow Surg 19(1):116–120CrossRef
22.
go back to reference Fucentese SF, von Roll AL, Pfirrmann CW, Gerber C, Jost B (2012) Evolution of nonoperatively treated symptomatic isolated full-thickness supraspinatus tears. J Bone Jt Surg Am Vol 94(9):801–808CrossRef Fucentese SF, von Roll AL, Pfirrmann CW, Gerber C, Jost B (2012) Evolution of nonoperatively treated symptomatic isolated full-thickness supraspinatus tears. J Bone Jt Surg Am Vol 94(9):801–808CrossRef
23.
go back to reference Melis B, Nemoz C, Walch G (2009) Muscle fatty infiltration in rotator cuff tears: descriptive analysis of 1688 cases. Orthop Traumatol Surg Res 95(5):319–324CrossRef Melis B, Nemoz C, Walch G (2009) Muscle fatty infiltration in rotator cuff tears: descriptive analysis of 1688 cases. Orthop Traumatol Surg Res 95(5):319–324CrossRef
24.
go back to reference Goutallier D, Postel JM, Gleyze P, Leguilloux P, Van Driessche S (2003) Influence of cuff muscle fatty degeneration on anatomic and functional outcomes after simple suture of full-thickness tears. J Shoulder Elbow Surg 12(6):550–554CrossRef Goutallier D, Postel JM, Gleyze P, Leguilloux P, Van Driessche S (2003) Influence of cuff muscle fatty degeneration on anatomic and functional outcomes after simple suture of full-thickness tears. J Shoulder Elbow Surg 12(6):550–554CrossRef
25.
go back to reference Oh JH, Kim SH, Choi JA, Kim Y, Oh CH (2010) Reliability of the grading system for fatty degeneration of rotator cuff muscles. Clin Orthop Relat Res 468(6):1558–1564CrossRef Oh JH, Kim SH, Choi JA, Kim Y, Oh CH (2010) Reliability of the grading system for fatty degeneration of rotator cuff muscles. Clin Orthop Relat Res 468(6):1558–1564CrossRef
26.
go back to reference Spencer EE, Dunn WR, Wright RW, Wolf BR, Spindler KP, McCarty E et al (2008) Interobserver agreement in the classification of rotator cuff tears using magnetic resonance imaging. Am J Sports Med 36(1):99–103CrossRef Spencer EE, Dunn WR, Wright RW, Wolf BR, Spindler KP, McCarty E et al (2008) Interobserver agreement in the classification of rotator cuff tears using magnetic resonance imaging. Am J Sports Med 36(1):99–103CrossRef
27.
go back to reference Colvin AC, Egorova N, Harrison AK, Moskowitz A, Flatow EL (2012) National trends in rotator cuff repair. J Bone Jt Surg Am 94(3):227–233CrossRef Colvin AC, Egorova N, Harrison AK, Moskowitz A, Flatow EL (2012) National trends in rotator cuff repair. J Bone Jt Surg Am 94(3):227–233CrossRef
28.
go back to reference Grimm A, Meyer H, Nickel MD, Nittka M, Raithel E, Chaudry O et al (2018) Evaluation of 2-point, 3-point, and 6-point Dixon magnetic resonance imaging with flexible echo timing for muscle fat quantification. Eur J Radiol 103:57–64CrossRef Grimm A, Meyer H, Nickel MD, Nittka M, Raithel E, Chaudry O et al (2018) Evaluation of 2-point, 3-point, and 6-point Dixon magnetic resonance imaging with flexible echo timing for muscle fat quantification. Eur J Radiol 103:57–64CrossRef
29.
go back to reference Li XH, Zhu J, Zhang XM, Ji YF, Chen TW, Huang XH et al (2014) Abdominal MRI at 3.0 T: lava-flex compared with conventional fat suppression T1-weighted images. J Magn Reson Imaging 40(1):58–66CrossRef Li XH, Zhu J, Zhang XM, Ji YF, Chen TW, Huang XH et al (2014) Abdominal MRI at 3.0 T: lava-flex compared with conventional fat suppression T1-weighted images. J Magn Reson Imaging 40(1):58–66CrossRef
30.
go back to reference Horiuchi S, Nozaki T, Tasaki A, Yamakawa A, Kaneko Y, Hara T et al (2017) Reliability of MR quantification of rotator cuff muscle fatty degeneration using a 2-point dixon technique in comparison with the Goutallier classification: validation study by multiple readers. Acad Radiol 24(11):1343–1351CrossRef Horiuchi S, Nozaki T, Tasaki A, Yamakawa A, Kaneko Y, Hara T et al (2017) Reliability of MR quantification of rotator cuff muscle fatty degeneration using a 2-point dixon technique in comparison with the Goutallier classification: validation study by multiple readers. Acad Radiol 24(11):1343–1351CrossRef
31.
go back to reference Santago AC 2nd, Vidt ME, Tuohy CJ, Poehling GG, Freehill MT, Jordan JH et al (2016) Quantitative analysis of three-dimensional distribution and clustering of intramuscular fat in muscles of the rotator cuff. Ann Biomed Eng 44(7):2158–2167CrossRef Santago AC 2nd, Vidt ME, Tuohy CJ, Poehling GG, Freehill MT, Jordan JH et al (2016) Quantitative analysis of three-dimensional distribution and clustering of intramuscular fat in muscles of the rotator cuff. Ann Biomed Eng 44(7):2158–2167CrossRef
Metadata
Title
A quantitative alternative to the Goutallier classification system using Lava Flex and Ideal MRI techniques: volumetric intramuscular fatty infiltration of the supraspinatus muscle, a cadaveric study
Authors
Jose H. Trevino III
Krzysztof R. Gorny
Angel Gomez-Cintron
Chunfeng Zhao
Hugo Giambini
Publication date
01-12-2019
Publisher
Springer International Publishing
Published in
Magnetic Resonance Materials in Physics, Biology and Medicine / Issue 6/2019
Print ISSN: 0968-5243
Electronic ISSN: 1352-8661
DOI
https://doi.org/10.1007/s10334-019-00774-y

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