{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T19:09:14Z","timestamp":1792782554077,"version":"4.5.0"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2023,3,9]],"date-time":"2023-03-09T00:00:00Z","timestamp":1678320000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,3,9]],"date-time":"2023-03-09T00:00:00Z","timestamp":1678320000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81971586"],"award-info":[{"award-number":["81971586"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82071874"],"award-info":[{"award-number":["82071874"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81901712"],"award-info":[{"award-number":["81901712"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82271981"],"award-info":[{"award-number":["82271981"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Sichuan Science and Technology Program","award":["2020YFS0050"],"award-info":[{"award-number":["2020YFS0050"]}]},{"name":"Sichuan Science and Technology Program","award":["2022YFS0178"],"award-info":[{"award-number":["2022YFS0178"]}]},{"name":"Clinical Research Finding of Chinese Society of Cardiovascular Disease (CSC) of 2019","award":["No. HFCSC2019B01"],"award-info":[{"award-number":["No. HFCSC2019B01"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pediatr Radiol"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Duchenne\nmuscular dystrophy (DMD) is a neuromuscular disease characterised by progressive muscular weakness and atrophy. Currently, studies on DMD muscle function mostly focus on individual muscles; little is known regarding the effect of gluteal muscle group damage on motor function.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To explore potential imaging biomarkers of hip and pelvic muscle groups for measuring muscular fat replacement and inflammatory oedema in DMD with multimodal quantitative magnetic resonance imaging (MRI).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and methods<\/jats:title>\n                    <jats:p>One hundred fifty-nine DMD boys and 32 healthy male controls were prospectively included. All subjects underwent MRI examination of the hip and pelvic muscles with T1 mapping, T2 mapping and Dixon sequences. Quantitatively measured parameters included longitudinal relaxation time (T1), transverse relaxation time (T2) and fat fraction. Investigations were all based on hip and pelvic muscle groups covering flexors, extensors, adductors and abductors. The North Star Ambulatory Assessment and stair climbing tests were used to measure motor function in DMD.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      T1 of the extensors (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.720,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.01), flexors (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.558,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.01) and abductors (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u20090.697,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.001) were positively correlated with the North Star Ambulatory Assessment score. In contrast, T2 of the adductors (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u2009-0.711,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.01) and fat fraction of the extensors (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009=\u2009-0.753,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.01) were negatively correlated with the North Star Ambulatory Assessment score. Among them, T1 of the abductors (\n                      <jats:italic>b<\/jats:italic>\n                      \u2009=\u20090.013,\n                      <jats:italic>t<\/jats:italic>\n                      \u2009=\u20092.052,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.042), T2 of the adductors (\n                      <jats:italic>b<\/jats:italic>\n                      \u2009=\u2009-0.234,\n                      <jats:italic>t<\/jats:italic>\n                      \u2009=\u2009-2.554,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.012) and fat fraction of the extensors (\n                      <jats:italic>b<\/jats:italic>\n                      \u2009=\u2009-0.637,\n                      <jats:italic>t<\/jats:italic>\n                      \u2009=\u2009\u2009\u2212\u20094.096,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.001) significantly affected the North Star Ambulatory Assessment score. Moreover, T1 of the abductors was highly predictive for identifying motor dysfunction in DMD, with an\u00a0area under the curve of 0.925.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Magnetic resonance biomarkers of hip and pelvic muscle groups (particularly T1 values of the abductor muscles) have the potential to be used as independent risk factors for motor dysfunction in DMD.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00247-023-05632-7","type":"journal-article","created":{"date-parts":[[2023,3,9]],"date-time":"2023-03-09T03:03:25Z","timestamp":1678331005000},"page":"1648-1658","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Clinical utilisation of multimodal quantitative magnetic resonance imaging in investigating muscular damage in Duchenne muscular dystrophy: a study on the association between gluteal muscle groups and motor function"],"prefix":"10.1007","volume":"53","author":[{"given":"Yu","family":"Song","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hua-yan","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ke","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying-kun","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin-jun","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rong","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hang","family":"Fu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei-feng","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zi-qi","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo-chao","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chuan","family":"Fu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao-tang","family":"Cai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xue-sheng","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,3,9]]},"reference":[{"key":"5632_CR1","doi-asserted-by":"publisher","first-page":"2347","DOI":"10.1093\/hmg\/ddab199","volume":"30","author":"M Gartz","year":"2021","unstructured":"Gartz M, Beatka M, Prom MJ et al (2021) Cardiomyocyte-produced miR-339-5p mediates pathology in Duchenne muscular dystrophy cardiomyopathy. Hum Mol Genet 30:2347\u20132361","journal-title":"Hum Mol Genet"},{"key":"5632_CR2","doi-asserted-by":"publisher","first-page":"236","DOI":"10.4103\/0028-3886.43441","volume":"56","author":"EM Yiu","year":"2008","unstructured":"Yiu EM, Kornberg AJ (2008) Duchenne muscular dystrophy. Neurol India 56:236\u2013247","journal-title":"Neurol India"},{"key":"5632_CR3","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1146\/annurev-med-081117-010451","volume":"70","author":"YL Min","year":"2019","unstructured":"Min YL, Bassel-Duby R, Olson EN (2019) CRISPR correction of Duchenne muscular dystrophy. Annu Rev Med 70:239\u2013255","journal-title":"Annu Rev Med"},{"key":"5632_CR4","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/S1474-4422(09)70271-6","volume":"9","author":"K Bushby","year":"2010","unstructured":"Bushby K, Finkel R, Birnkrant DJ et al (2010) Diagnosis and management of Duchenne muscular dystrophy, part 1: diagnosis, and pharmacological and psychosocial management. Lancet Neurol 9:77\u201393","journal-title":"Lancet Neurol"},{"key":"5632_CR5","doi-asserted-by":"publisher","first-page":"e2270","DOI":"10.1212\/WNL.0000000000009233","volume":"94","author":"DE Frank","year":"2020","unstructured":"Frank DE, Schnell FJ, Akana C et al (2020) Increased dystrophin production with golodirsen in patients with Duchenne muscular dystrophy. Neurology 94:e2270\u2013e2282","journal-title":"Neurology"},{"key":"5632_CR6","doi-asserted-by":"publisher","first-page":"1366","DOI":"10.3390\/biomedicines9101366","volume":"9","author":"A Tulangekar","year":"2021","unstructured":"Tulangekar A, Sztal TE (2021) Inflammation in Duchenne muscular dystrophy-exploring the role of neutrophils in muscle damage and regeneration. Biomedicines 9:1366","journal-title":"Biomedicines"},{"key":"5632_CR7","doi-asserted-by":"publisher","first-page":"837","DOI":"10.3390\/genes11080837","volume":"11","author":"C Sun","year":"2020","unstructured":"Sun C, Shen L, Zhang Z et al (2020) Therapeutic strategies for Duchenne muscular dystrophy: an update. Genes (Basel) 11:837","journal-title":"Genes (Basel)"},{"key":"5632_CR8","doi-asserted-by":"publisher","first-page":"6264","DOI":"10.1038\/s41467-021-26516-0","volume":"12","author":"J Dort","year":"2021","unstructured":"Dort J, Orfi Z, Fabre P et al (2021) Resolvin-D2 targets myogenic cells and improves muscle regeneration in Duchenne muscular dystrophy. Nat Commun 12:6264","journal-title":"Nat Commun"},{"key":"5632_CR9","doi-asserted-by":"publisher","first-page":"778","DOI":"10.1016\/j.jacbts.2019.06.006","volume":"4","author":"SC Kolwicz Jr","year":"2019","unstructured":"Kolwicz SC Jr, Hall JK, Moussavi-Harami F et al (2019) Gene therapy rescues cardiac dysfunction in Duchenne muscular dystrophy mice by elevating cardiomyocyte deoxy-adenosine triphosphate. JACC Basic Transl Sci 4:778\u2013791","journal-title":"JACC Basic Transl Sci"},{"key":"5632_CR10","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1016\/S0140-6736(17)32160-8","volume":"391","author":"CM McDonald","year":"2018","unstructured":"McDonald CM, Henricson EK, Abresch RT et al (2018) Long-term effects of glucocorticoids on function, quality of life, and survival in patients with Duchenne muscular dystrophy: a prospective cohort study. Lancet 391:451\u2013461","journal-title":"Lancet"},{"key":"5632_CR11","doi-asserted-by":"publisher","first-page":"1519","DOI":"10.3390\/biom11101519","volume":"11","author":"Z Gao","year":"2021","unstructured":"Gao Z, Lu A, Daquinag AC et al (2021) Partial ablation of non-myogenic progenitor cells as a therapeutic approach to Duchenne muscular dystrophy. Biomolecules 11:1519","journal-title":"Biomolecules"},{"key":"5632_CR12","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1038\/s41582-019-0203-3","volume":"15","author":"IEC Verhaart","year":"2019","unstructured":"Verhaart IEC, Aartsma-Rus A (2019) Therapeutic developments for Duchenne muscular dystrophy. Nat Rev Neurol 15:373\u2013386","journal-title":"Nat Rev Neurol"},{"key":"5632_CR13","doi-asserted-by":"publisher","first-page":"1237","DOI":"10.1111\/bph.15678","volume":"179","author":"Z Sun","year":"2022","unstructured":"Sun Z, Xu D, Zhao L et al (2022) A new therapeutic effect of fenofibrate in Duchenne muscular dystrophy: the promotion of myostatin degradation. Br J Pharmacol 179:1237\u20131250","journal-title":"Br J Pharmacol"},{"issue":"s2","key":"5632_CR14","doi-asserted-by":"publisher","first-page":"S303","DOI":"10.3233\/JND-210678","volume":"8","author":"N Elangkovan","year":"2021","unstructured":"Elangkovan N, Dickson G (2021) Gene therapy for Duchenne muscular dystrophy. J Neuromuscul Dis 8(s2):S303\u2013S316","journal-title":"J Neuromuscul Dis"},{"key":"5632_CR15","doi-asserted-by":"publisher","first-page":"e1622","DOI":"10.1212\/WNL.0000000000009244","volume":"94","author":"WD Rooney","year":"2021","unstructured":"Rooney WD, Berlow YA, Triplett WT et al (2021) Modeling disease trajectory in Duchenne muscular dystrophy. Neurology 94:e1622\u2013e1633","journal-title":"Neurology"},{"key":"5632_CR16","doi-asserted-by":"crossref","unstructured":"Thangarajh M (2019) The dystrophinopathies. Continuum (Minneapolis, Minn.) 25:1619\u20131639","DOI":"10.1212\/CON.0000000000000791"},{"key":"5632_CR17","doi-asserted-by":"publisher","DOI":"10.1007\/s00415-022-11470-8","author":"F Peng","year":"2022","unstructured":"Peng F, Xu H, Song Y et al (2022) Longitudinal study of multi-parameter quantitative magnetic resonance imaging in Duchenne muscular dystrophy: hyperresponsiveness of gluteus maximus and detection of subclinical disease progression in functionally stable patients. J Neurol. https:\/\/doi.org\/10.1007\/s00415-022-11470-8","journal-title":"J Neurol"},{"key":"5632_CR18","doi-asserted-by":"publisher","first-page":"W216","DOI":"10.2214\/AJR.14.13755","volume":"205","author":"HK Kim","year":"2015","unstructured":"Kim HK, Serai S, Lindquist D et al (2015) Quantitative skeletal muscle MRI: Part 2, MR spectroscopy and T2 relaxation time mapping \u2013 comparison between boys with Duchenne muscular dystrophy and healthy boys. AJR Am J Roentgenol 205:W216\u2013W223","journal-title":"AJR Am J Roentgenol"},{"key":"5632_CR19","doi-asserted-by":"publisher","first-page":"1122","DOI":"10.1001\/jamaneurol.2020.1484","volume":"77","author":"JR Mendell","year":"2020","unstructured":"Mendell JR, Sahenk Z, Lehman K et al (2020) Assessment of systemic delivery of rAAVrh74.MHCK7 micro-dystrophin in children with Duchenne muscular dystrophy: a non-randomized controlled trial. JAMA Neurol 77:1122\u20131131","journal-title":"JAMA Neurol"},{"key":"5632_CR20","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1136\/jnnp-2016-315106.142","volume":"87","author":"V Ricotti","year":"2016","unstructured":"Ricotti V, Ridout DA, Pane M et al (2016) The North Star Ambulatory Assessment in Duchenne muscular dystrophy: considerations for the design of clinical trials. J Neurol Neurosurg Psychiatry 87:149\u2013155","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"5632_CR21","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0052512","volume":"8","author":"ES Mazzone","year":"2013","unstructured":"Mazzone ES, Pane M, Sormani MP et al (2013) 24-month longitudinal data in ambulant boys with Duchenne muscular dystrophy. PLoS ONE 8:e52512","journal-title":"PLoS ONE"},{"key":"5632_CR22","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1111\/j.1469-8749.2011.03939.x","volume":"53","author":"A Mayhew","year":"2011","unstructured":"Mayhew A, Cano S, Scott E et al (2011) Moving towards meaningful measurement: Rasch analysis of the North Star Ambulatory Assessment in Duchenne muscular dystrophy. Dev Med Child Neurol 53:535\u2013542","journal-title":"Dev Med Child Neurol"},{"key":"5632_CR23","doi-asserted-by":"publisher","first-page":"e1386","DOI":"10.1212\/WNL.0000000000008939","volume":"94","author":"KJ Naarding","year":"2020","unstructured":"Naarding KJ, Reyngoudt H, van Zwet EW et al (2020) MRI vastus lateralis fat fraction predicts loss of ambulation in Duchenne muscular dystrophy. Neurology 94:e1386\u2013e1394","journal-title":"Neurology"},{"key":"5632_CR24","doi-asserted-by":"publisher","first-page":"6852","DOI":"10.1038\/s41598-019-43398-x","volume":"9","author":"B Marty","year":"2019","unstructured":"Marty B, Carlier PG (2019) Physiological and pathological skeletal muscle T1 changes quantified using a fast inversion-recovery radial NMR imaging sequence. Sci Rep 9:6852","journal-title":"Sci Rep"},{"key":"5632_CR25","doi-asserted-by":"publisher","first-page":"e798","DOI":"10.1212\/WNL.0000000000011231","volume":"96","author":"CY Liu","year":"2021","unstructured":"Liu CY, Yao J, Kovacs WC et al (2021) Skeletal muscle magnetic resonance biomarkers in GNE myopathy. Neurology 96:e798\u2013e808","journal-title":"Neurology"},{"key":"5632_CR26","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1002\/mus.26497","volume":"60","author":"DG Leung","year":"2019","unstructured":"Leung DG (2019) Advancements in magnetic resonance imaging-based biomarkers for muscular dystrophy. Muscle Nerve 60:347\u2013360","journal-title":"Muscle Nerve"},{"key":"5632_CR27","doi-asserted-by":"publisher","first-page":"20190109","DOI":"10.1259\/bjr.20190109","volume":"92","author":"F Wang","year":"2019","unstructured":"Wang F, Zhang H, Wu C et al (2019) Quantitative T2 mapping accelerated by GRAPPATINI for evaluation of muscles in patients with myositis. Br J Radiol 92:20190109","journal-title":"Br J Radiol"},{"key":"5632_CR28","doi-asserted-by":"publisher","first-page":"616","DOI":"10.1148\/radiol.2020192210","volume":"295","author":"SC Forbes","year":"2020","unstructured":"Forbes SC, Arora H, Willcocks RJ et al (2020) Upper and lower extremities in Duchenne muscular dystrophy evaluated with quantitative MRI and proton MR spectroscopy in a multicenter cohort. Radiology 295:616\u2013625","journal-title":"Radiology"},{"key":"5632_CR29","doi-asserted-by":"publisher","first-page":"4264","DOI":"10.1007\/s00330-020-07487-0","volume":"31","author":"H Reyngoudt","year":"2021","unstructured":"Reyngoudt H, Marty B, Boisserie JM et al (2021) Global versus individual muscle segmentation to assess quantitative MRI-based fat fraction changes in neuromuscular diseases. Eur Radiol 31:4264\u20134276","journal-title":"Eur Radiol"},{"key":"5632_CR30","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1002\/ana.24599","volume":"79","author":"RJ Willcocks","year":"2016","unstructured":"Willcocks RJ, Rooney WD, Triplett WT et al (2016) Multicenter prospective longitudinal study of magnetic resonance biomarkers in a large Duchenne muscular dystrophy cohort. Ann Neurol 79:535\u2013547","journal-title":"Ann Neurol"},{"key":"5632_CR31","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1007\/s11596-019-2012-8","volume":"39","author":"L Yin","year":"2019","unstructured":"Yin L, Xie ZY, Xu HY et al (2019) T2 Mapping and fat quantification of thigh muscles in children with Duchenne muscular dystrophy. Curr Med Sci 39:138\u2013145","journal-title":"Curr Med Sci"},{"key":"5632_CR32","doi-asserted-by":"publisher","first-page":"e897","DOI":"10.1212\/WNL.0000000000009012","volume":"94","author":"AM Barnard","year":"2020","unstructured":"Barnard AM, Willcocks RJ, Triplett WT et al (2020) MR biomarkers predict clinical function in Duchenne muscular dystrophy. Neurology 94:e897\u2013e909","journal-title":"Neurology"},{"key":"5632_CR33","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1186\/s12891-022-05640-y","volume":"23","author":"F Peng","year":"2022","unstructured":"Peng F, Xu H, Song Y et al (2022) Utilization of T1-Mapping for the pelvic and thigh muscles in Duchenne muscular dystrophy: a quantitative biomarker for disease involvement and correlation with clinical assessments. BMC Musculoskelet Disord 23:681","journal-title":"BMC Musculoskelet Disord"},{"key":"5632_CR34","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1212\/WNL.0000000000008811","volume":"94","author":"J Ropars","year":"2020","unstructured":"Ropars J, Gravot F, Ben Salem D et al (2020) Muscle MRI: a biomarker of disease severity in Duchenne muscular dystrophy? A systematic review. Neurology 94:117\u2013133","journal-title":"Neurology"},{"key":"5632_CR35","doi-asserted-by":"publisher","first-page":"899","DOI":"10.1148\/radiol.10091547","volume":"255","author":"HK Kim","year":"2010","unstructured":"Kim HK, Laor T, Horn PS et al (2010) T2 mapping in Duchenne muscular dystrophy: distribution of disease activity and correlation with clinical assessments. Radiology 255:899\u2013908","journal-title":"Radiology"}],"container-title":["Pediatric Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00247-023-05632-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00247-023-05632-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00247-023-05632-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,20]],"date-time":"2023-07-20T03:03:50Z","timestamp":1689822230000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00247-023-05632-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,9]]},"references-count":35,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2023,7]]}},"alternative-id":["5632"],"URL":"https:\/\/doi.org\/10.1007\/s00247-023-05632-7","relation":{},"ISSN":["1432-1998"],"issn-type":[{"value":"1432-1998","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3,9]]},"assertion":[{"value":"20 December 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 February 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 February 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 March 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"None","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}}]}}