Establishing percentile charts for hip joint capsule and synovial cavity thickness in apparently healthy children

Żuber, Zbigniew; Owczarek, Aleksander; Sobczyk, Małgorzata; Migas-Majoch, Agata; Turowska-Heydel, Dorota; Sternal, Agnieszka; Michalczak, Justyna; Chudek, Jerzy

doi:10.1186/s12969-017-0136-6

Cited by 14 publications

(9 citation statements)

References 23 publications

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“…In a subsequent study, the same group described the vascularity and developed additional definitions of normal findings on Doppler US in healthy joints to add to the preliminary B-mode US definitions of joint components (15). In particular, it has been highlighted that physiological intraarticular blood flow can be normally detected on US in chil- (17)(18)(19)(20)(21)(22)(23). However, a paucity of data is still being published for a limited set of joints, and no agreement has been so far reached regarding joint positioning in some similar studies (17,18).…”

Section: Normal Us Features In Childrenmentioning

confidence: 99%

The recent evolution of ultrasound in juvenile idiopathic arthritis

Lanni

2021

Clinical and Experimental Rheumatology

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Juvenile idiopathic arthritis (JIA) is the most common chronic joint disease in paediatric rheumatology. Over the last two decades, ultrasound (US) has emerged as a tool with the potential to enhance disease assessment and management of JIA. This imaging modality is safe and well tolerated by children and can be easily applied bedside in the clinical setting. Owing to the lack of published studies regarding the validity and reproducibility of US in JIA and the difficulties in interpreting images of children, US was initially perceived like an art rather than a science. In recent years, a great deal of efforts has been made in order to fill the gap of scientific knowledge on US between paediatric and adult rheumatology. This has yielded significant breakthroughs, such as the achievement of valuable information about the anatomical peculiarities of the growing skeleton on US, including internationally agreed definitions on B-mode and Doppler US of components for the normal joints, and the development of a standardised scanning protocol for US examination suitable for use in children. The precise role of US in JIA, however, is yet to be fully defined. Although further research regarding the use of US in joint inflammatory pathology in paediatrics is required, this imaging modality may well possess the necessary properties to pursue the best practice in the care of children with JIA in the near future. The present review provides information on the recent advances that have made the application of US increasingly promising for the management of JIA.

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Section: Normal Us Features In Childrenmentioning

confidence: 99%

The recent evolution of ultrasound in juvenile idiopathic arthritis

Lanni

2021

Clinical and Experimental Rheumatology

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“…A clear thickening up to 7.7 mm of the joint capsule on both sides and significantly increased echogenicity of the joint capsules were found. Both joints were symmetric, the femoral head round, without visible pathology, and the periarticular space was without pathology [ 12 , 13 ]. We did not observe any other clinical manifestations such as cardiac involvement, corneal clouding or upper airway obstruction.…”

Section: Clinical Case Studymentioning

confidence: 99%

A case of mucopolysaccharidosis type VI in a polish family. Importance of genetic testing and genotype-phenotype relationship in the diagnosis of mucopolysaccharidosis

Zapała

Chmura

Ciałowicz

et al. 2020

Molecular Genetics and Metabolism Reports

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Background and objectives Mucopolysaccharidosis type VI (MPS VI) is a rare, autosomal recessive lysosomal storage disorder caused by deficient enzymatic activity of N -acetyl galactosamine-4-sulphatase, which is caused by mutations in the arylsulphatase B ( ARSB ) gene. To date, 163 different types of mutations in the ARSB have been reported. However, the full mutation spectrum in the MPS VI phenotype is still not known. The aim of this study was to perform molecular testing of the ARSB gene in the patient and his family members to confirm MPS VI. Methods Molecular characterisation of the ARSB gene was performed using Sanger sequencing. We studied a child suspected of having MPS VI and 16 other relatives. Results We identified a C-to-T transition resulting in an exchange of the Arg codon 160 for a premature stop codon (R160*, in exon 2). The transition was in CpG dinucleotides. Interpretation and conclusions The study provided some insights into the genotype-phenotype relationship in MPS VI and the importance of genetic testing when diagnosing MPS, which is not a mandatory test for the diagnosis and only very occasionally performed. Additionally, we present here the history of a family with confirmed MPS VI, which is extremely rare especially in south-eastern Poland. What is more, the position where the mutation is located is very interesting because it is the region of CpG, which is the site of the methylation process. Thus, this opens the possibility of a new approach indicating the involvement of an epigenetic mechanism that should be examined in the context of the pathomechanism of MPS.

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“…[ 7 ] Musculoskeletal ultrasound can identify the lesion site and enable the precise treatment of scapulohumeral periarthritis. [ 8 ]…”

Section: Introductionmentioning

confidence: 99%

Analysis of the value of artificial intelligence combined with musculoskeletal ultrasound in the differential diagnosis of pain rehabilitation of scapulohumeral periarthritis

Wang

et al. 2023

Medicine

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To explore the value of artificial intelligence combined with musculoskeletal ultrasound in the differential diagnosis of pain rehabilitation of scapulohumeral periarthritis. A total of 165 patients with periarthritis of the shoulder, who were admitted to our hospital from January 2020 to January 2022, were selected. Konica SONIMAGE HS1 PLUS color Doppler ultrasound diagnostic instrument was used to detect muscles and bones of patients with scapulohumeral periarthritis. This study proposed an intelligent clustering analysis algorithm with musculoskeletal ultrasound parameters. The neural network was trained on a GeForce RTX 3060 with the Adam W optimizer, a batch size of 12, and an initial learning rate of 5E-4. Each batch of 2 types of trained samples was input into the network in a specific proportion. Pain was assessed on a 10-point visual analogue scale. On the affected side of scapulohumeral periarthritis, the mild pain group showed thickening of the shoulder posterior capsule (2.02 ± 0.72) mm with clear edges. In the moderate pain group, the thickness of the shoulder posterior capsule gradually narrowed (1.01 ± 0.38) mm and became even thinner than that of the unaffected side, with irregular and blurred edges. In the severe pain group, the thickness of the shoulder posterior capsule largely returned to normal (1.21 ± 0.42) mm, and the edge was clear. Multivariate logistic regression showed that in addition to musculoskeletal ultrasound parameters, the length of service, work nature, and the busy degree of work of patients with periarthritis of the shoulder were significant factors that influenced shoulder periarthritis pain ( P < .05). The performance of the proposed intelligent auscultation algorithm was further examined in a clinical setting, in which we used 165 clinical musculoskeletal ultrasound samples (including 81 positive and 84 negative samples) as a test set. The accuracy, sensitivity, and specificity were 0.833, 0.872, and 0.801, respectively. Musculoskeletal ultrasound combined with artificial intelligence algorithm is a new diagnostic and staging tool for scapulohumeral periarthritis.

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Establishing percentile charts for hip joint capsule and synovial cavity thickness in apparently healthy children

Cited by 14 publications

References 23 publications

The recent evolution of ultrasound in juvenile idiopathic arthritis

The recent evolution of ultrasound in juvenile idiopathic arthritis

A case of mucopolysaccharidosis type VI in a polish family. Importance of genetic testing and genotype-phenotype relationship in the diagnosis of mucopolysaccharidosis

Analysis of the value of artificial intelligence combined with musculoskeletal ultrasound in the differential diagnosis of pain rehabilitation of scapulohumeral periarthritis

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