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Aguilar C, Regensburger AP, Knieling F, Wagner AL, Siebenlist G, Woelfle J, Koehler H, Hoerning A, Jüngert J. Pediatric Buried Bumper Syndrome: Diagnostic Validity of Transabdominal Ultrasound and Artificial Intelligence. ULTRASCHALL IN DER MEDIZIN (STUTTGART, GERMANY : 1980) 2022; 43:498-506. [PMID: 34034349 DOI: 10.1055/a-1471-3039] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
PURPOSE Buried bumper syndrome (BBS) is a severe complication of percutaneous endoscopic gastrostomy (PEG) resulting from overgrowth of gastric mucosa and penetration of the inner holding plate into the gastric wall. The aim of this study was to evaluate the diagnostic value of transabdominal ultrasound (US) in comparison to an artificial intelligence (AI) model for the diagnosis of BBS in children. MATERIALS AND METHODS In this monocentric retrospective study, pediatric US data concerning BBS from a ten-year period (2009-2019) were analyzed. US findings were compared to a clinical multiparameter-based AI model and reference standard endoscopy. Clinical risk factors for the occurrence of pediatric BBS were determined. RESULTS In n = 121 independent examinations of n = 82 patients, the placement of the inner holding plate of the PEG was assessed by US. In n = 18 cases BBS was confirmed. Recall and precision rates were 100 % for US and 88 % for the AI-based assessment. Risk factors for the occurrence of BBS were mobilization problems of the PEG (rs = 0.66, p < 0.001), secretion/exudation (rs = 0.29, p = 0.002), time between 1st PEG placement and US (rs = 0.38, p < 0.001), and elevated leukocyte count (rs = 0.24, p = 0.016). CONCLUSION Transabdominal US enables correct, rapid, and noninvasive diagnosis of BBS in pediatric patients. Preceding AI models could aid during diagnostic workup. To avoid unnecessary invasive procedures, US could be considered as a primary diagnostic procedure in suspected BBS. .
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Affiliation(s)
- Caroline Aguilar
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Germany
| | - Adrian P Regensburger
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Germany
| | - Ferdinand Knieling
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Germany
| | - Alexandra L Wagner
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Germany
| | - Gregor Siebenlist
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Germany
| | - Joachim Woelfle
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Germany
| | - Henrik Koehler
- Children's Hospital, Cantonal Hospital Aarau, Switzerland
| | - André Hoerning
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Germany
| | - Jörg Jüngert
- Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Germany
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Abdelnaby R, Mohamed KA, Elgenidy A, Sonbol YT, Bedewy MM, Aboutaleb AM, Ebrahim MA, Maallem I, Dardeer KT, Heikal HA, Gawish HM, Zschüntzsch J. Muscle Sonography in Inclusion Body Myositis: A Systematic Review and Meta-Analysis of 944 Measurements. Cells 2022; 11:600. [PMID: 35203250 PMCID: PMC8869828 DOI: 10.3390/cells11040600] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/28/2022] [Accepted: 02/04/2022] [Indexed: 01/14/2023] Open
Abstract
Inclusion body myositis (IBM) is a slowly progressive muscle weakness of distal and proximal muscles, which is diagnosed by clinical and histopathological criteria. Imaging biomarkers are inconsistently used and do not follow international standardized criteria. We conducted a systematic review and meta-analysis to investigate the diagnostic value of muscle ultrasound (US) in IBM compared to healthy controls. A systematic search of PubMed/MEDLINE, Scopus and Web of Science was performed. Articles reporting the use of muscle ultrasound in IBM, and published in peer-reviewed journals until 11 September 2021, were included in our study. Seven studies were included, with a total of 108 IBM and 171 healthy controls. Echogenicity between IBM and healthy controls, which was assessed by three studies, demonstrated a significant mean difference in the flexor digitorum profundus (FDP) muscle, which had a grey scale value (GSV) of 36.55 (95% CI, 28.65-44.45, p < 0.001), and in the gastrocnemius (GC), which had a GSV of 27.90 (95% CI 16.32-39.48, p < 0.001). Muscle thickness in the FDP showed no significant difference between the groups. The pooled sensitivity and specificity of US in the differentiation between IBM and the controls were 82% and 98%, respectively, and the area under the curve was 0.612. IBM is a rare disease, which is reflected in the low numbers of patients included in each of the studies and thus there was high heterogeneity in the results. Nevertheless, the selected studies conclusively demonstrated significant differences in echogenicity of the FDP and GC in IBM, compared to controls. Further high-quality studies, using standardized operating procedures, are needed to implement muscle ultrasound in the diagnostic criteria.
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Affiliation(s)
- Ramy Abdelnaby
- Department of Neurology, RWTH Aachen University, Pauwels Street 30, 52074 Aachen, Germany;
| | - Khaled Ashraf Mohamed
- Faculty of Medicine, Cairo University, 1 Gamaa Street, Cairo 12613, Egypt; (K.A.M.); (A.E.); (Y.T.S.); (M.M.B.); (M.A.E.); (K.T.D.); (H.A.H.); (H.M.G.)
| | - Anas Elgenidy
- Faculty of Medicine, Cairo University, 1 Gamaa Street, Cairo 12613, Egypt; (K.A.M.); (A.E.); (Y.T.S.); (M.M.B.); (M.A.E.); (K.T.D.); (H.A.H.); (H.M.G.)
| | - Yousef Tarek Sonbol
- Faculty of Medicine, Cairo University, 1 Gamaa Street, Cairo 12613, Egypt; (K.A.M.); (A.E.); (Y.T.S.); (M.M.B.); (M.A.E.); (K.T.D.); (H.A.H.); (H.M.G.)
| | - Mahmoud Mostafa Bedewy
- Faculty of Medicine, Cairo University, 1 Gamaa Street, Cairo 12613, Egypt; (K.A.M.); (A.E.); (Y.T.S.); (M.M.B.); (M.A.E.); (K.T.D.); (H.A.H.); (H.M.G.)
| | | | - Mohamed Ayman Ebrahim
- Faculty of Medicine, Cairo University, 1 Gamaa Street, Cairo 12613, Egypt; (K.A.M.); (A.E.); (Y.T.S.); (M.M.B.); (M.A.E.); (K.T.D.); (H.A.H.); (H.M.G.)
| | - Imene Maallem
- Faculty of Medicine, Pharmacy Department, University Badji Mokhtar Annaba, Zaafrania Street, Annaba 23000, Algeria;
| | - Khaled Tarek Dardeer
- Faculty of Medicine, Cairo University, 1 Gamaa Street, Cairo 12613, Egypt; (K.A.M.); (A.E.); (Y.T.S.); (M.M.B.); (M.A.E.); (K.T.D.); (H.A.H.); (H.M.G.)
| | - Hamed Amr Heikal
- Faculty of Medicine, Cairo University, 1 Gamaa Street, Cairo 12613, Egypt; (K.A.M.); (A.E.); (Y.T.S.); (M.M.B.); (M.A.E.); (K.T.D.); (H.A.H.); (H.M.G.)
| | - Hazem Maher Gawish
- Faculty of Medicine, Cairo University, 1 Gamaa Street, Cairo 12613, Egypt; (K.A.M.); (A.E.); (Y.T.S.); (M.M.B.); (M.A.E.); (K.T.D.); (H.A.H.); (H.M.G.)
| | - Jana Zschüntzsch
- Clinic for Neurology, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075 Göttingen, Germany
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