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Connection

Stephen Chrzanowski to Muscular Dystrophy, Duchenne

This is a "connection" page, showing publications Stephen Chrzanowski has written about Muscular Dystrophy, Duchenne.
  1. Chrzanowski S, D'Ambrosio ES. The Essential Role of Medicaid in Duchenne Muscular Dystrophy Care: A Call to Protect Vulnerable Populations. Pediatr Neurol. 2025 Aug; 169:91-92.
    View in: PubMed
    Score: 0.893
  2. Chrzanowski S, Batra R. CRISPR-Based Gene Editing Techniques in Pediatric Neurological Disorders. Pediatr Neurol. 2024 Apr; 153:166-174.
    View in: PubMed
    Score: 0.817
  3. Chrzanowski SM, Nagy JA, Pandeya S, Rutkove SB. Electrical Impedance Myography Correlates with Functional Measures of Disease Progression in D2-mdx Mice and Boys with Duchenne Muscular Dystrophy. J Neuromuscul Dis. 2023; 10(1):81-90.
    View in: PubMed
    Score: 0.758
  4. Chrzanowski SM, McAnally MM, Kang PB. An Opportune Time for Newborn Screening in Duchenne Muscular Dystrophy. JAMA Neurol. 2021 08 01; 78(8):901-902.
    View in: PubMed
    Score: 0.687
  5. Chrzanowski SM, Darras BT, Rutkove SB. The Value of Imaging and Composition-Based Biomarkers in Duchenne Muscular Dystrophy Clinical Trials. Neurotherapeutics. 2020 01; 17(1):142-152.
    View in: PubMed
    Score: 0.616
  6. Chrzanowski SM, Poudyal R. Deflazacort-New Costs of an Old Medicine. JAMA Neurol. 2018 Feb 01; 75(2):143-144.
    View in: PubMed
    Score: 0.539
  7. Chrzanowski SM, Baligand C, Willcocks RJ, Deol J, Schmalfuss I, Lott DJ, Daniels MJ, Senesac C, Walter GA, Vandenborne K. Multi-slice MRI reveals heterogeneity in disease distribution along the length of muscle in Duchenne muscular dystrophy. Acta Myol. 2017 Sep; 36(3):151-162.
    View in: PubMed
    Score: 0.524
  8. Goryachev I, Tresansky AP, Ely GT, Chrzanowski SM, Nagy JA, Rutkove SB, Anthony BW. Comparison of Quantitative Ultrasound Methods to Classify Dystrophic and Obese Models of Skeletal Muscle. Ultrasound Med Biol. 2022 09; 48(9):1918-1932.
    View in: PubMed
    Score: 0.183
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.