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Quantification of hand synovitis in rheumatoid arthritis: Arterial mask subtraction reinforced with mutual information can improve accuracy of pixel‐by‐pixel time–intensity curve shape analysis in dynamic MRI
Author(s) -
Kobayashi Yuto,
Kamishima Tamotsu,
Sugimori Hiroyuki,
Ichikawa Shota,
Noguchi Atsushi,
Kono Michihito,
Iiyama Toshitake,
Sutherland Kenneth,
Atsumi Tatsuya
Publication year - 2018
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.25995
Subject(s) - synovitis , intraclass correlation , medicine , subtraction , rheumatoid arthritis , nuclear medicine , correlation coefficient , radiology , correlation , shape analysis (program analysis) , computer science , mathematics , statistics , geometry , clinical psychology , arithmetic , psychometrics , static analysis , programming language
Background Synovitis, which is a hallmark of rheumatoid arthritis (RA), needs to be precisely quantified to determine the treatment plan. Time–intensity curve (TIC) shape analysis is an objective assessment method for characterizing the pixels as artery, inflamed synovium, or other tissues using dynamic contrast‐enhanced MRI (DCE‐MRI). Purpose/Hypothesis To assess the feasibility of our original arterial mask subtraction method (AMSM) with mutual information (MI) for quantification of synovitis in RA. Study Type Prospective study. Subjects Ten RA patients (nine women and one man; mean age, 56.8 years; range, 38–67 years). Field Strength/Sequence 3T/DCE‐MRI. Assessment After optimization of TIC shape analysis to the hand region, a combination of TIC shape analysis and AMSM was applied to synovial quantification. The MI between pre‐ and postcontrast images was utilized to determine the arterial mask phase objectively, which was compared with human subjective selection. The volume of objectively measured synovitis by software was compared with that of manual outlining by an experienced radiologist. Simple TIC shape analysis and TIC shape analysis combined with AMSM were compared in slices without synovitis according to subjective evaluation. Statistical Tests Pearson's correlation coefficient, paired t ‐test and intraclass correlation coefficient (ICC). Results TIC shape analysis was successfully optimized in the hand region with a correlation coefficient of 0.725 ( P < 0.01) with the results of manual assessment regarded as ground truth. Objective selection utilizing MI had substantial agreement (ICC = 0.734) with subjective selection. Correlation of synovial volumetry in combination with TIC shape analysis and AMSM with manual assessment was excellent ( r = 0.922, P < 0.01). In addition, negative predictive ability in slices without synovitis pixels was significantly increased ( P < 0.01). Data Conclusions The combination of TIC shape analysis and image subtraction reinforced with MI can accurately quantify synovitis of RA in the hand by eliminating arterial pixels. Level of Evidence: 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;48:687–694.