Share this content in WeChat
Clinical Article
Application of magnetic resonance image compilation in the diagnosis of dermatomyositis/polymyositis and quantitative assessment of activity
WANG Yuqi  TIAN Zhaorong  ZHANG Liping  TIAN Bo  NI Yabo  WANG Zhijun 

WANG Y Q, TIAN Z R, ZHANG L P, et al. Application of magnetic resonance image compilation in the diagnosis of dermatomyositis/polymyositis and quantitative assessment of activity[J]. Chin J Magn Reson Imaging, 2023, 14(9): 92-96, 99. DOI:10.12015/issn.1674-8034.2023.09.016.

[Abstract] Objective To investigate the quantitative parameters of MR compilation on dermatomyositis (DM) / polymyositis (PM) the diagnostic value of activity, and the correlation between quantitative parameters and clinical indicators was analyzed.Materials and Methods The imaging data and clinical data of 68 patients with DM/PM confirmed by clinical and pathological methods in General Hospital of Ningxia Medical University were retrospectively collected, and the case group was divided into an active group (28 cases) and an inactive group (40 cases) according to the electromyogram and myositis disease activity tool. Another 24 normal volunteers matching the age, gender and body mass index (BMI) of the case group were also collected. SIGNA Architect 3.0 T MRI scanner was used to perform MAGiC sequence and conventional T1WI, T2WI and T2Flex sequence scanning on both thighs. The T2 and T1 values of the three thigh muscle groups were measured twice by two radiologists on the MAGiC sequence. One-way analysis of variance or Kruskal-Wallis H-test was used to compare the T2 and T1 values of different groups. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) was calculated to analyze the diagnostic efficacy of T2 values for DM and its activity. Spearman correlation was used to analyze the correlation between DM/PM quantitative parameters and creatine kinase (CK) value.Results (1) The T2 values of anterolateral, medial and posterior muscles in DM/PM active group were higher than those in inactive group and control group (F values were 48.17, 94.60, 79.11, P<0.05). The T1 value of the active group was higher than that of the inactive group and higher than that of the control group (F=16.13, P<0.05). There was no significant difference between medial muscle group and posterior muscle group (P>0.05). (2) The AUC value of T2 value of muscle groups in case group and control group was 0.939; the Youden index, sensitivity and specificity were 0.726, 81.5% and 91.0%, respectively. The AUC value of active and inactive muscle T2 values was 0.722, and the Youden index, sensitivity and specificity were 0.389, 57.1% and 81.8%, respectively. (3) The T2 value of the posterior muscle group was significantly positively correlated with CK (r=0.48, P<0.05).Conclusions T2 value of MAGiC quantitative mapping technique can quantitatively analyze muscle involvement in DM/PM patients, which is highly correlated with clinical indicators of CK.
[Keywords] dermatomyositis/polymyositis;magnetic resonance imaging;image index;clinical index;activity

WANG Yuqi1   TIAN Zhaorong2   ZHANG Liping2   TIAN Bo2   NI Yabo1   WANG Zhijun2*  

1 Ningxia Medical University School of Clinical Medicine, Yinchuan 750001, China

2 Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan 750001, China

Corresponding author: Wang ZJ, E-mail:

Conflicts of interest   None.

ACKNOWLEDGMENTS Key Research and Development Plan of Ningxia Hui Autonomous Region (No. 2021BEG03033, 2023BEG03003).
Received  2023-04-06
Accepted  2023-08-04
DOI: 10.12015/issn.1674-8034.2023.09.016
WANG Y Q, TIAN Z R, ZHANG L P, et al. Application of magnetic resonance image compilation in the diagnosis of dermatomyositis/polymyositis and quantitative assessment of activity[J]. Chin J Magn Reson Imaging, 2023, 14(9): 92-96, 99. DOI:10.12015/issn.1674-8034.2023.09.016.

DOURADO E, BOTTAZZI F, CARDELLI C, et al. Idiopathic inflammatory myopathies: one year in review 2022[J]. Clin Exp Rheumatol, 2023, 41(2): 199-213. DOI: 10.55563/clinexprheumatol/jof6qn.
LUNDBERG I E, DE VISSER M, WERTH V P. Classification of myositis[J]. Nat Rev Rheumatol, 2018, 14(5): 269-278. DOI: 10.1038/nrrheum.2018.41.
LILLEKER J B, VENCOVSKY J, WANG G C, et al. The EuroMyositis registry: an international collaborative tool to facilitate myositis research[J]. Ann Rheum Dis, 2018, 77(1): 30-39. DOI: 10.1136/annrheumdis-2017-211868.
DOBLOUG G C, SVENSSON J, LUNDBERG I E, et al. Correction: Mortality in idiopathic inflammatory myopathy: results from a Swedish nationwide population-based cohort study[J/OL]. Ann Rheum Dis, 2018, 77(5): 786 [2023-02-12]. DOI: 10.1136/annrheumdis-2017-211402corr1.
NUÑO-NUÑO L, JOVEN B E, CARREIRA P E, et al. Mortality and prognostic factors in idiopathic inflammatory myositis: a retrospective analysis of a large multicenter cohort of spain[J]. Rheumatol Int, 2017, 37(11): 1853-1861. DOI: 10.1007/s00296-017-3799-x.
TALOTTA R, PORRELLO I, RESTUCCIA R, et al. Physical activity in idiopathic inflammatory myopathies: two intervention proposals based on literature review[J]. Clin Rheumatol, 2022, 41(3): 593-615. DOI: 10.1007/s10067-021-05954-7.
LUNDBERG I E, TJÄRNLUND A, BOTTAI M, et al. 2017 European league against rheumatism/american college of rheumatology classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups[J]. Arthritis Rheumatol, 2017, 69(12): 2271-2282. DOI: 10.1002/art.40320.
ASHTON C, PARAMALINGAM S, STEVENSON B, et al. Idiopathic inflammatory myopathies: a review[J]. Intern Med J, 2021, 51(6): 845-852. DOI: 10.1111/imj.15358.
SWAIN M, UPPIN M. Evolving classification and role of muscle biopsy in diagnosis of inflammatory myopathies[J]. Indian J Pathol Microbiol, 2022, 65(Supplement): S241-S251. DOI: 10.4103/ijpm.ijpm_1033_21.
PINTO M V, LAUGHLIN R S, KLEIN C J, et al. Inclusion body myositis: correlation of clinical outcomes with histopathology, electromyography and laboratory findings[J]. Rheumatology, 2022, 61(6): 2504-2511. DOI: 10.1093/rheumatology/keab754.
MALARTRE S, BACHASSON D, MERCY G, et al. MRI and muscle imaging for idiopathic inflammatory myopathies[J/OL]. Brain Pathol, 2021, 31(3): e12954 [2023-01-10]. DOI: 10.1111/bpa.12954.
NAGAWA K, SUZUKI M, YAMAMOTO Y, et al. Texture analysis of muscle MRI: machine learning-based classifications in idiopathic inflammatory myopathies[J/OL]. Sci Rep, 2021, 11(1): 9821 [2023-01-12]. DOI: 10.1038/s41598-021-89311-3.
ALBAYDA J, DEMONCEAU G, CARLIER P G. Muscle imaging in myositis: MRI, US, and PET[J]. Best Pract Res Clin Rheumatol, 2022, 36(2): 101765 [2023-02-17]. DOI: 10.1016/j.berh.2022.101765.
GIRIJA M S, TIWARI R, VENGALIL S, et al. PET-MRI in idiopathic inflammatory myositis: a comparative study of clinical and immunological markers with imaging findings[J/OL]. Neurol Res Pract, 2022, 4(1): 49 [2023-01-22]. DOI: 10.1186/s42466-022-00213-9.
DAI Y, WANG S, XU H T, et al. Study of vertebral marrow fat content by MRI IDEAL-IQ imaging technique[J]. Chin Comput Med Imag, 2017, 23(2): 161-165. DOI: 10.19627/j.cnki.cn31-1700/th.2017.02.012.
TANENBAUM L N, TSIOURIS A J, JOHNSON A N, et al. Synthetic MRI for clinical neuroimaging: results of the magnetic resonance image compilation (MAGiC) prospective, multicenter, multireader trial[J]. AJNR Am J Neuroradiol, 2017, 38(6): 1103-1110. DOI: 10.3174/ajnr.A5227.
GOUEL P, HAPDEY S, DUMOUCHEL A, et al. Synthetic MRI for radiotherapy planning for brain and prostate cancers: phantom validation and patient evaluation[J/OL]. Front Oncol, 2022, 12: 841761 [2023-01-12]. DOI: 10.3389/fonc.2022.841761.
CUI Y D, HAN S Y, LIU M, et al. Diagnosis and grading of prostate cancer by relaxation maps from synthetic MRI[J]. J Magn Reson Imaging, 2020, 52(2): 552-564. DOI: 10.1002/jmri.27075.
MORAN C J. Editorial for Investigation of synthetic relaxometry and diffusion measures in the differentiation of benign and malignant breast lesions as compared to BI-RADS[J]. J Magn Reson Imaging, 2021, 53(4): 1128-1129. DOI: 10.1002/jmri.27480.
NUNEZ-GONZALEZ L, VAN GARDEREN K A, SMITS M, et al. Pre-contrast MAGiC in treated gliomas: a pilot study of quantitative MRI[J/OL]. Sci Rep, 2022, 12(1): 21820 [2023-01-12]. DOI: 10.1038/s41598-022-24276-5.
ZHAO L, LIANG M, WU P Y, et al. A preliminary study of synthetic magnetic resonance imaging in rectal cancer: imaging quality and preoperative assessment[J/OL]. Insights Imaging, 2021, 12(1): 120 [2023-01-27]. DOI: 10.1186/s13244-021-01063-w.
JIANG Y W, YU L, LUO X J, et al. Quantitative synthetic MRI for evaluation of the lumbar intervertebral disk degeneration in patients with chronic low back pain[J/OL]. Eur J Radiol, 2020, 124: 108858 [2023-02-12]. DOI: 10.1016/j.ejrad.2020.108858.
GONZALEZ M S D, MUTI I H, CHENG L L. High resolution magic angle spinning MRS in prostate cancer[J]. Magma, 2022, 35(4): 695-705. DOI: 10.1007/s10334-022-01005-7.
RAN J, DAI B, LIU C Y, et al. The diagnostic value of T2 map, diffusion tensor imaging, and diffusion kurtosis imaging in differentiating dermatomyositis from muscular dystrophy[J]. Acta Radiol, 2022, 63(4): 467-473. DOI: 10.1177/0284185121999006.
ISENBERG D A, ALLEN E, FAREWELL V, et al. International consensus outcome measures for patients with idiopathic inflammatory myopathies. Development and initial validation of myositis activity and damage indices in patients with adult onset disease[J]. Rheumatology, 2004, 43(1): 49-54. DOI: 10.1093/rheumatology/keg427.
LEATHAM H, SCHADT C, CHISOLM S, et al. Evidence supports blind screening for internal malignancy in dermatomyositis: data from 2 large US dermatology cohorts[J/OL]. Medicine, 2018, 97(2): e9639 [2023-01-09]. DOI: 10.1097/MD.0000000000009639.
ZHENG Y M, LIU L L, WANG L, et al. Magnetic resonance imaging changes of thigh muscles in myopathy with antibodies to signal recognition particle[J]. Rheumatology, 2015, 54(6): 1017-1024. DOI: 10.1093/rheumatology/keu422.
URUHA A, GOEBEL H H, STENZEL W. Updates on the immunopathology in idiopathic inflammatory myopathies[J/OL]. Curr Rheumatol Rep, 2021, 23(7): 56 [2023-02-05]. DOI: 10.1007/s11926-021-01017-7.
LEMPAINEN L, MECHÓ S, VALLE X, et al. Management of anterior thigh injuries in soccer players: practical guide[J/OL]. BMC Sports Sci Med Rehabil, 2022, 14(1): 41 [2023-01-19]. DOI: 10.1186/s13102-022-00428-y.
BALIUS R, PEDRET C, ESTRADA-ALARCÓN P, et al. Overview of thigh and leg anatomical and sonographic landmarks in rheumatic patients[J/OL]. Eur J Rheumatol, 2022 [2023-02-10]. DOI: 10.5152/eurjrheum.2022.21131.
LIU X Y, PU R J, LIANG J, et al. The value of T2 mapping texture features of 3.0 T MRI in grading cartilage injury of knee osteoarthritis[J]. Chin J Magn Reson Imag, 2021, 12(7): 34-38. DOI: 10.12015/issn.1674-8034.2021.07.007.
TIAN Z R, GONG R, SUN J, et al. Magnetic resonance image complication in the assessment of idiopathic inflammatory myopathies[J]. Chin J Med Imag, 2021, 29(11): 1149-1153. DOI: 10.3969/j.issn.1005-5185.2021.11.021.
RAN J, JI S, MORELLI J N, et al. T2 mapping in dermatomyositis/polymyositis and correlation with clinical parameters[J/OL]. Clin Radiol, 2018, 73(12): 1057.e13-1057.e18 [2023-02-10]. DOI: 10.1016/j.crad.2018.07.106.
DAVIS W R, HALLS J E, OFFIAH A C, et al. Assessment of active inflammation in juvenile dermatomyositis: a novel magnetic resonance imaging-based scoring system[J]. Rheumatology, 2011, 50(12): 2237-2244. DOI: 10.1093/rheumatology/ker262.
STUDYNKOVÁ J T, CHARVÁT F, JAROSOVÁ K, et al. The role of MRI in the assessment of polymyositis and dermatomyositis[J]. Rheumatology, 2007, 46(7): 1174-1179. DOI: 10.1093/rheumatology/kem088.
LIN X H, LIU K X, CHEN M L, et al. Clinical and pathological analysis of skeletal muscle in 20 cases of polymyositis[J]. Chin J Nerv Ment Dis, 2014, 40(2): 106-108. DOI: 10.3936/j.issn.1002-0152.2014.02.010.

PREV Quantitative measurement of renal fat in patients with type 2 diabetes mellitus: Comparison between Dixon and HISTO MRS techniques
NEXT One case of cyst formation after stereotactic radiosurgery for cerebral arteriovenous malformations

Tel & Fax: +8610-67113815    E-mail: