Evidence map›Paper›PMID 36210472›Full record

ArticleNeurological research and practice2022

PET-MRI in idiopathic inflammatory myositis: a comparative study of clinical and immunological markers with imaging findings.

Manu Santhappan Girija, Ravindu Tiwari, Seena Vengalil, Saraswati Nashi, Veeramani Preethish-Kumar, Kiran Polavarapu, Karthik Kulanthaivelu, Arpana Arbind, Mainak Bardhan, Akshata Huddar and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Neurological research and practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 8 citations in OpenAlex.

  1. [Diagnostics (Basel, Switzerland) · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 2 institutions in 2 countries.

Manu Santhappan Girija *Department of Neurology, National Institute of Mental Health And Neurosciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India.
Ravindu Tiwari *Department of Neurology, National Institute of Mental Health And Neurosciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India.
Seena VengalilDepartment of Neurology, National Institute of Mental Health And Neurosciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India.
Saraswati NashiDepartment of Neurology, National Institute of Mental Health And Neurosciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India.
Veeramani Preethish-KumarDepartment of Neurology, National Institute of Mental Health And Neurosciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India.
Kiran PolavarapuChildren's Hospital of Eastern Ontario Research Institute; Division of Neurology, Department of Medicine, The Ottawa Hospital, Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada.
Karthik KulanthaiveluDepartment of Neuro Imaging and Interventional Radiology, National Institute of Mental Health And Neurosciences (NIMHANS), Bangalore, Karnataka, 560029, India.
Arpana ArbindDepartment of Neuro Imaging and Interventional Radiology, National Institute of Mental Health And Neurosciences (NIMHANS), Bangalore, Karnataka, 560029, India.
Mainak BardhanDepartment of Neurology, National Institute of Mental Health And Neurosciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India.
Akshata HuddarDepartment of Neurology, National Institute of Mental Health And Neurosciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India.
Gopikrishnan UnnikrishnanDepartment of Neurology, National Institute of Mental Health And Neurosciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India.
Valasani Ravi KiranDepartment of Neurology, National Institute of Mental Health And Neurosciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India.
Tanushree ChawlaDepartment of Neurology, National Institute of Mental Health And Neurosciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India.
Bevinahalli NandeeshDepartment of Neuropathology, National Institute of Mental Health And Neurosciences (NIMHANS), Bangalore, 560029, India.
Chandana NagarajDepartment of Neuro Imaging and Interventional Radiology, National Institute of Mental Health And Neurosciences (NIMHANS), Bangalore, Karnataka, 560029, India. dr.chandana@outlook.com.
Atchayaram NaliniDepartment of Neurology, National Institute of Mental Health And Neurosciences (NIMHANS), Hosur Road, Bengaluru, Karnataka, 560029, India. atchayaramnalini@yahoo.co.in.ORCID http://orcid.org/0000-0001-9791-3639
National Institute of Mental Health and Neurosciences · INUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe sought to determine the utility of PET-MRI in diagnosing Idiopathic Inflammatory Myositis (IIM), and look for association between FDG uptake and clinical, pathological and laboratory parameters.

methodsA retrospective, observational study was conducted on IIM patients having positive serum autoantibodies and who underwent PET-MRI (3-Tesla SIEMENS Biograph MR scanner) between 2017 and 2021. Thirty patients who underwent PET-MRI to detect systemic metastasis without muscle involvement formed the control group.

resultsIn the IIM cohort, female: male sex ratio was 1.73, mean age at diagnosis was 40.33 years, and the mean duration of illness was 7 months. 33.33% of patients had severe limb weakness. Mi2B (43.33%), Mi2A (43.33%), PL-7(10%), PL-12(6.67%), SRP (16.67%), Tif1gamma (3.33%), NxP2 (3.33%), Ro-52(40%), PM-Scl, U1-RNP, ANA (26.67%) were the serum autoantibodies identified. Using SUV max Ratio to quantify FDG uptake, PET-MRI showed a sensitivity of 100% with 93.3% specificity in diagnosing IIM.FDG uptake was maximum in proximal lower limb region followed by proximal upper limb. Multivariate regression analysis showed that the severity of muscle weakness, serum Mi2B antibody positivity and serum creatinine kinase levels had a significant positive correlation with FDG uptake (value of 0.005, 0.043, 0.042, respectively for whole-body FDG uptake). FDG uptake also showed good correlation with histopathological features and muscle MRI, but there was no significant association with treatment response. Three female patients in our cohort had primary malignancy involving the breast, uterus, and cervix.

conclusionsPET-MRI is a promising diagnostic modality for IIM. PET-MRI reflects the severity of muscle inflammation, showing good association with various clinical/laboratory parameters, histopathology, and muscle MRI. Parameters associated with severe muscle inflammation in PET-MRI-clinical severity of muscle weakness, Mi2B positivity, and serum creatine kinase levels-may be used as clinical/laboratory markers of disease severity in IIM. PET-MRI has the added advantage of detection of systemic malignancy.

Indexed as

Inflammatory myositisMalignancyMRIMyositis associated antibodyMyositis specific antibodyPET-MRI

Identifiers

PMID36210472
PMCPMC9549636
OpenAlexW4303953707

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