ArticleScientific reports2017
Evaluation of muscular changes by ultrasound Nakagami imaging in Duchenne muscular dystrophy.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed, 41 citations in OpenAlex.
- Radiomics with Ultrasound Radiofrequency Data for Improving Evaluation of Duchenne Muscular Dystrophy.Journal of imaging informatics in medicine · 2025Article
- Breast tumor diagnosis via multimodal deep learning using ultrasound B-mode and Nakagami images.Journal of medical imaging (Bellingham, Wash.) · 2025Article
- High-frequency quantitative ultrasound in characterizing human skin aging: an exploration of the non-modeling and modeling approaches.Quantitative imaging in medicine and surgery · 2025Article
- In Situ Monitoring and Assessment of Ischemic Skin Flap by High-Frequency Ultrasound and Quantitative Parameters.Sensors (Basel, Switzerland) · 2024Article
- Changes in mechanical properties at the muscle level could be detected by Nakagami imaging during in-vivo fixed-end contractions.PloS one · 2024Article
- Draft Guidance for Industry Duchenne Muscular Dystrophy, Becker Muscular Dystrophy, and Related Dystrophinopathies - Developing Potential Treatments for the Entire Spectrum of Disease.Journal of neuromuscular diseases · 2024Article
- Skeletal Muscle Assessment Using Quantitative Ultrasound: A Narrative Review.Sensors (Basel, Switzerland) · 2023Review
- Quantitative Ultrasound Techniques Used for Peripheral Nerve Assessment.Diagnostics (Basel, Switzerland) · 2023Review
- Hepatic Steatosis Assessment as a New Strategy for the Metabolic and Nutritional Management of Duchenne Muscular Dystrophy.Nutrients · 2022Article
- Sonoelastography of the trunk and lower extremity muscles in a case of Duchenne muscular dystrophy.Journal of ultrasound · 2021Review
- Deep Learning of Ultrasound Imaging for Evaluating Ambulatory Function of Individuals with Duchenne Muscular Dystrophy.Diagnostics (Basel, Switzerland) · 2021Article
- MRI and muscle imaging for idiopathic inflammatory myopathies.Brain pathology (Zurich, Switzerland) · 2021Review
- Clinical Evaluation of Duchenne Muscular Dystrophy Severity Using Ultrasound Small-Window Entropy Imaging.Entropy (Basel, Switzerland) · 2020Article
- Detection of collagens by multispectral optoacoustic tomography as an imaging biomarker for Duchenne muscular dystrophy.Nature medicine · 2019Article
- Association Between Muscle Strength and Modeling Estimates of Muscle Tissue Heterogeneity in Young and Old Adults.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2019Article
- Cross-section and feasibility study on the non-invasive evaluation of muscle hemodynamic responses in Duchenne muscular dystrophy by using a near-infrared diffuse optical technique.Biomedical optics express · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Duchenne muscular dystrophy (DMD) is the most common debilitating muscular disorder. Developing a noninvasive measure for monitoring the progression of this disease is critical. The present study tested the effectiveness of using ultrasound Nakagami imaging to evaluate the severity of the dystrophic process. A total of 47 participants (40 with DMD and 7 healthy controls) were recruited. Patients were classified into stage 1 (presymptomatic and ambulatory), stage 2 (early nonambulatory), and stage 3 (late nonambulatory). All participants underwent ultrasound examinations on the rectus femoris, tibialis anterior, and gastrocnemius. The results revealed that the ultrasound Nakagami parameter correlated positively with functional severity in the patients with DMD. The median Nakagami parameter of the gastrocnemius muscle increased from 0.50 to 0.85, corresponding to the largest dynamic range between normal and stage 3. The accuracy, sensitivity, and specificity of diagnosing walking function were 85.52%, 76.31%, and 94.73%, respectively. The Nakagami parameter of the rectus femoris and gastrocnemius muscles correlated negatively with the 6-minute walking distance in the ambulatory patients. Therefore, changes in the Nakagami parameter for the gastrocnemius muscle are suitable for monitoring disease progression in ambulatory patients and for predicting ambulation loss. Ultrasound Nakagami imaging shows potential for evaluating patients with DMD.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.