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5/10/2013 Disclosures No financial disclosures Quantitative Evaluation of Fatty Infiltration of the Rotator Cuff Muscles with IDEAL Magnetic Resonance Imaging Drew Lansdown, MD Lorenzo Nardo, MD Dmitrios Karampinos, PhD Julio


  1. 5/10/2013 Disclosures • No financial disclosures Quantitative Evaluation of Fatty Infiltration of the Rotator Cuff Muscles with IDEAL Magnetic Resonance Imaging Drew Lansdown, MD Lorenzo Nardo, MD Dmitrios Karampinos, PhD Julio Carballido-Gamio, PhD Thomas Link, MD Benjamin Ma, MD Roland Krug, PhD Fatty Infiltration and Muscle Atrophy Background • Muscles of the rotator cuff undergo degenerative • Rotator cuff tears account changes after tendon injury 1 for 4.5 million physician visits each year 1 – Fatty infiltration • 75,000 rotator cuff repairs – Muscle atrophy annually 1 • Pathophysiology not fully understood 1 • May result in painful – Decreased loading of muscle due to tendon injury shoulder with limited function – Traction injury to suprascapular nerve • 54% of asymptomatic – Neoangiogenesis and metabolic changes patients over age 60 have • Both are independent predictors of outcome after partial or full-thickness surgical repair 2 tear 2 1. Oh, et al. CORR, 2007. 1. Chaudhury, et al. Arthritis Care & Research, 2012. 2. Reilly, et al. Ann R Coll Surg Eng , 2006 2. Gladstone, et al. AJSM , 2007. 1

  2. 5/10/2013 Goutallier Classification Clinical Relevance of Fatty Infiltration • First described for CT and modified for MRI 1,2 • Cuff integrity after repair is directly related to • Qualitative assessment muscle quality 1,2 – Re-tear rate is 50-70% with FI >= grade 2 • Moderate inter-observer reliability (Κ = 0.53) 3 • Unclear if these changes are reversible Grade 3 Grade 4 Grade 0 Grade 1 Grade 2 Equal muscle More fat Normal Streaks of fat More muscle – Goutallier - Possibly reverses in SS but not in IS and fat than muscle than fat – Gladstone – Minimal to no progression with successful repair 1. Goutallier, et al. CORR , 1994. 1. Goutallier, et al. CORR , 1994. 2. Fuchs, et al. JSES , 1999. 2. Gladtsone, et al. AJSM , 2007. 3. Lippe, et al. Arthroscopy . 2012. IDEAL MRI Hypothesis • Iterative decomposition of • IDEAL MRI fat fraction mapping provides a water and fat with echo continuous variable that is closely correlated asymmetry and least- with the Goutallier classification squares estimation (IDEAL) • Generates accurate • Fat fraction values are correlated with quantitative fat-fraction strength testing from physical examination map • Previous animal studies validated fat content assessment with histologic studies 1 1. Hines, et al. Radiology, 2010. 2

  3. 5/10/2013 Study Design Image Segmentation • 57 patients undergoing • Segmented on sagittal- Relevant Imaging Acquisition routine shoulder MRI Purpose oblique intermediate- Sequence Parameters • IDEAL sequence added weighted FSE images to clinical study • Scapular “Y” identified TR=2513 ms • Goutallier grade given Goutallier Sagittal TE = 31 ms, classification PDW-FSE and a total of 4 slices rBW = 62.5 kHz, for each rotator cuff ETL = 10, NEX = 4 muscle for each patient were segmented • Range of motion and • Fat-fraction values were 6-points, TE=2.1 ms pain levels (VAS) Sagittal calculated from the ∆ TE=1.0 ms IDEAL- FA=3 ° recorded from Fat TR=10.8 ms, SPGR segmented regions quantification retrospective review of using IDEAL fat fraction rBW = 62.5 kHz, outpatient notes NEX=1 maps Fat Fraction Values Correlate to IDEAL Values Have Good Goutallier Classification Intra/Inter-User Reliability Teres All Supra Infra Subscap Minor muscles Goutallier Mean Fat Range Grade Fraction Value Intra- reproducibility 0.96 0.84 0.92 0.96 0.92 0 2.1% (1.3%) 0 – 5.59% Reader #1 1 5.6% (2.3%) 1.1-9.70% Intra- reproducibility 0.85 0.87 0.82 0.96 0.90 2 8.5% (2.7%) 6.4 – 14.86% Reader #2 3 16.2% (1.1%) 15.25 – 17.77% Inter- 4 24.7% (3.4%) 19.85 – 29.63% 0.81 0.84 0.81 0.91 0.84 reproducibility Pearson’s correlation coefficient r = 0.93 3

  4. 5/10/2013 IDEAL Values Correlate with Clinical Conclusions Parameters • Fat fraction values are reproducible (κ = 0.81 – Spearman Spearman Rank Spearman Rank Spearman Muscles p-values 0.96)and allow for a continuous variable for Correlation-IDEAL Correlation-GC p-values GC IDEAL fat quantification Supraspinatus • Strength testing in supraspinatus, Pain – VAS 0.128 0.012 0.3557 0.9318 FF Strength 0.206 0.032 0.1382 0.8215 infraspinatus and subscapularis are Ab Strength 0.448 0.223 0.1201 0.0011* significantly correlated to IDEAL values Infraspinatus Pain – VAS 0.119 0.087 0.3910 0.5336 • IDEAL MRI can lead to improved evaluation ER Strength 0.368 0.370 0.0067* 0.0064* and understanding of fatty infiltration Subscapularis Pain – VAS 0.313 0.193 0.1625 0.0214* IR Strength 0.39 0.30 0.0051* 0.0357* Acknowledgements • Benjamin Ma, MD • Roland Krug, PhD • Lorenzo Nardo, MD • Dmitrios Karampinos, PhD • Julio Carballido-Gamio, PhD • Thomas Link, MD 4

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