{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T15:18:18Z","timestamp":1786979898473,"version":"build-2736575974"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2025,2,12]],"date-time":"2025-02-12T00:00:00Z","timestamp":1739318400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,2,12]],"date-time":"2025-02-12T00:00:00Z","timestamp":1739318400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Abdom Radiol"],"DOI":"10.1007\/s00261-025-04834-x","type":"journal-article","created":{"date-parts":[[2025,2,12]],"date-time":"2025-02-12T10:43:43Z","timestamp":1739357023000},"page":"4395-4402","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Association of visceral fat obesity with structural change in abdominal organs: fully automated three-dimensional volumetric computed tomography measurement using deep learning"],"prefix":"10.1007","volume":"50","author":[{"given":"Haruka","family":"Kiyoyama","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masahiro","family":"Tanabe","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mayumi","family":"Higashi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naohiko","family":"Kamamura","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yosuke","family":"Kawano","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kenichiro","family":"Ihara","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keiko","family":"Hideura","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katsuyoshi","family":"Ito","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,2,12]]},"reference":[{"issue":"2","key":"4834_CR1","doi-asserted-by":"publisher","DOI":"10.1111\/eci.13693","volume":"52","author":"A Tirandi","year":"2022","unstructured":"Tirandi A, Carbone F, Montecucco F, Liberale L (2022) The role of metabolic syndrome in sudden cardiac death risk: recent evidence and future directions. Eur J Clin Invest. 52(2):e13693. https:\/\/doi.org\/10.1111\/eci.13693","journal-title":"Eur J Clin Invest"},{"key":"4834_CR2","doi-asserted-by":"publisher","DOI":"10.1111\/obr.13649","author":"FG Scurt","year":"2023","unstructured":"Scurt FG, Ganz MJ, Herzog C, Bose K, Mertens PR, Chatzikyrkou C (2023) Association of metabolic syndrome and chronic kidney disease. Obes Rev. https:\/\/doi.org\/10.1111\/obr.13649","journal-title":"Obes Rev"},{"issue":"3","key":"4834_CR3","doi-asserted-by":"publisher","first-page":"550","DOI":"10.2215\/CJN.04071206","volume":"2","author":"IM Wahba","year":"2007","unstructured":"Wahba IM, Mak RH (2007) Obesity and obesity-initiated metabolic syndrome: mechanistic links to chronic kidney disease. Clin J Am Soc Nephrol. 2(3):550-562. https:\/\/doi.org\/10.2215\/CJN.04071206","journal-title":"Clin J Am Soc Nephrol"},{"issue":"11","key":"4834_CR4","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0243068","volume":"15","author":"Y Zou","year":"2020","unstructured":"Zou Y, Sheng G, Yu M, Xie G (2020) The association between triglycerides and ectopic fat obesity: an inverted U-shaped curve. PLoS ONE. 15(11):e0243068. https:\/\/doi.org\/10.1371\/journal.pone.0243068","journal-title":"PLoS ONE"},{"issue":"10","key":"4834_CR5","doi-asserted-by":"publisher","first-page":"3546","DOI":"10.1007\/s00261-022-03603-4","volume":"47","author":"M Gjela","year":"2022","unstructured":"Gjela M, Askeland A, Frokjaer JB, Mellergaard M, Handberg A (2022) MRI-based quantification of renal fat in obese individuals using different image analysis approaches. Abdom Radiol (NY). 47(10):3546-3553. https:\/\/doi.org\/10.1007\/s00261-022-03603-4","journal-title":"Abdom Radiol (NY)"},{"issue":"5","key":"4834_CR6","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1159\/000450866","volume":"32","author":"GH Scholz","year":"2016","unstructured":"Scholz GH, Hanefeld M (2016) Metabolic vascular syndrome: new insights into a multidimensional network of risk factors and diseases. Visc Med. 32(5):319-326. https:\/\/doi.org\/10.1159\/000450866","journal-title":"Visc Med"},{"issue":"1089","key":"4834_CR7","doi-asserted-by":"publisher","first-page":"20180267","DOI":"10.1259\/bjr.20180267","volume":"91","author":"NS Sakai","year":"2018","unstructured":"Sakai NS, Taylor SA, Chouhan MD (2018) Obesity, metabolic disease and the pancreas-quantitative imaging of pancreatic fat. Br J Radiol. 91(1089):20180267. https:\/\/doi.org\/10.1259\/bjr.20180267","journal-title":"Br J Radiol"},{"issue":"12","key":"4834_CR8","doi-asserted-by":"publisher","first-page":"2283","DOI":"10.1111\/dom.14829","volume":"24","author":"T Kadowaki","year":"2022","unstructured":"Kadowaki T, Maegawa H, Watada H, Yabe D, Node K, Murohara T, Wada J (2022) Interconnection between cardiovascular, renal and metabolic disorders: a narrative review with a focus on Japan. Diabetes Obes Metab. 24(12):2283-2296. https:\/\/doi.org\/10.1111\/dom.14829","journal-title":"Diabetes Obes Metab"},{"issue":"1","key":"4834_CR9","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1186\/s12933-023-01937-x","volume":"22","author":"M Marassi","year":"2023","unstructured":"Marassi M, Fadini GP (2023) The cardio-renal-metabolic connection: a review of the evidence. Cardiovasc Diabetol. 22(1):195. https:\/\/doi.org\/10.1186\/s12933-023-01937-x","journal-title":"Cardiovasc Diabetol"},{"issue":"12","key":"4834_CR10","doi-asserted-by":"publisher","first-page":"1199","DOI":"10.1007\/s11547-019-01068-y","volume":"124","author":"M Millor","year":"2019","unstructured":"Millor M, Bartolome P, Pons MJ, Bastarrika G, Beloqui O, Cano D, Gonzalez I, Vivas I (2019) Whole-body computed tomography: a new point of view in a hospital check-up unit? Our experience in 6516 patients. Radiol Med. 124(12):1199-1211. https:\/\/doi.org\/10.1007\/s11547-019-01068-y","journal-title":"Radiol Med"},{"issue":"2","key":"4834_CR11","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1016\/j.transproceed.2023.02.015","volume":"55","author":"N Nishimura","year":"2023","unstructured":"Nishimura N, Hori S, Tomizawa M, Yoneda T, Morizawa Y, Gotoh D, Nakai Y, Miyake M, Torimoto K, Tanaka N, Fujimoto K (2023) Reproducibility of computed tomography volumetry for predicting post-donation remnant renal function: a retrospective analysis. Transplant Proc. 55(2):288-294. https:\/\/doi.org\/10.1016\/j.transproceed.2023.02.015","journal-title":"Transplant Proc"},{"issue":"1","key":"4834_CR12","doi-asserted-by":"publisher","first-page":"85","DOI":"10.2214\/AJR.20.23049","volume":"216","author":"PJ Pickhardt","year":"2021","unstructured":"Pickhardt PJ, Graffy PM, Zea R, Lee SJ, Liu J, Sandfort V, Summers RM (2021) Utilizing fully automated abdominal CT-based biomarkers for opportunistic screening for metabolic syndrome in adults without symptoms. AJR Am J Roentgenol. 216(1):85-92. https:\/\/doi.org\/10.2214\/AJR.20.23049","journal-title":"AJR Am J Roentgenol"},{"issue":"2","key":"4834_CR13","doi-asserted-by":"publisher","first-page":"524","DOI":"10.1148\/rg.2021200056","volume":"41","author":"PJ Pickhardt","year":"2021","unstructured":"Pickhardt PJ, Graffy PM, Perez AA, Lubner MG, Elton DC, Summers RM (2021) Opportunistic screening at abdominal CT: use of automated body composition biomarkers for added cardiometabolic value. Radiographics. 41(2):524-542. https:\/\/doi.org\/10.1148\/rg.2021200056","journal-title":"Radiographics"},{"issue":"1","key":"4834_CR14","doi-asserted-by":"publisher","first-page":"4378","DOI":"10.1038\/s41598-024-55137-y","volume":"14","author":"SK Jeon","year":"2024","unstructured":"Jeon SK, Joo I, Park J, Kim JM, Park SJ, Yoon SH (2024) Fully-automated multi-organ segmentation tool applicable to both non-contrast and post-contrast abdominal CT: deep learning algorithm developed using dual-energy CT images. Sci Rep. 14(1):4378. https:\/\/doi.org\/10.1038\/s41598-024-55137-y","journal-title":"Sci Rep"},{"issue":"11","key":"4834_CR15","doi-asserted-by":"publisher","first-page":"987","DOI":"10.1253\/circj.66.987","volume":"66","author":"Examination Committee of Criteria for \u2018Obesity Disease\u2019 in J, Japan Society for the Study of O","year":"2002","unstructured":"Examination Committee of Criteria for \u2018Obesity Disease\u2019 in J, Japan Society for the Study of O (2002) New criteria for \u2018obesity disease\u2019 in Japan. Circ J. 66(11):987-992. https:\/\/doi.org\/10.1253\/circj.66.987","journal-title":"Circ J."},{"key":"4834_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2020.108868","volume":"125","author":"E Steinkohl","year":"2020","unstructured":"Steinkohl E, Olesen SS, Mark EB, Hansen TM, Frandsen LK, Drewes AM, Frokjaer JB (2020) Progression of parenchymal and ductal findings in patients with chronic pancreatitis: a 4-year follow-up MRI study. Eur J Radiol. 125:108868. https:\/\/doi.org\/10.1016\/j.ejrad.2020.108868","journal-title":"Eur J Radiol"},{"issue":"3","key":"4834_CR17","doi-asserted-by":"publisher","first-page":"958","DOI":"10.1007\/s00261-018-1793-8","volume":"44","author":"JP Kipp","year":"2019","unstructured":"Kipp JP, Olesen SS, Mark EB, Frederiksen LC, Drewes AM, Frokjaer JB (2019) Normal pancreatic volume in adults is influenced by visceral fat, vertebral body width and age. Abdom Radiol (NY). 44(3):958-966. https:\/\/doi.org\/10.1007\/s00261-018-1793-8","journal-title":"Abdom Radiol (NY)"},{"issue":"1","key":"4834_CR18","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1007\/s00261-022-03667-2","volume":"48","author":"J Borgbjerg","year":"2023","unstructured":"Borgbjerg J, Steinkohl E, Olesen SS, Akisik F, Bethke A, Bieliuniene E, Christensen HS, Engjom T, Haldorsen IS, Kartalis N, Lisitskaya MV, Naujokaite G, Novovic S, Ozola-Zalite I, Phillips AE, Swensson JK, Drewes AM, Frokjaer JB (2023) Inter- and intra-observer variability of computed tomography-based parenchymal- and ductal diameters in chronic pancreatitis: a multi-observer international study. Abdom Radiol (NY). 48(1):306-317. https:\/\/doi.org\/10.1007\/s00261-022-03667-2","journal-title":"Abdom Radiol (NY)"},{"issue":"9","key":"4834_CR19","doi-asserted-by":"publisher","first-page":"811","DOI":"10.1007\/s00276-012-0962-7","volume":"34","author":"A Djuric-Stefanovic","year":"2012","unstructured":"Djuric-Stefanovic A, Masulovic D, Kostic J, Randjic K, Saranovic D (2012) CT volumetry of normal pancreas: correlation with the pancreatic diameters measurable by the cross-sectional imaging, and relationship with the gender, age, and body constitution. Surg Radiol Anat. 34(9):811-817. https:\/\/doi.org\/10.1007\/s00276-012-0962-7","journal-title":"Surg Radiol Anat"},{"issue":"10","key":"4834_CR20","doi-asserted-by":"publisher","first-page":"935","DOI":"10.1007\/s00276-012-0988-x","volume":"34","author":"V Caglar","year":"2012","unstructured":"Caglar V, Songur A, Yagmurca M, Acar M, Toktas M, Gonul Y (2012) Age-related volumetric changes in pancreas: a stereological study on computed tomography. Surg Radiol Anat. 34(10):935-941. https:\/\/doi.org\/10.1007\/s00276-012-0988-x","journal-title":"Surg Radiol Anat"},{"issue":"1","key":"4834_CR21","doi-asserted-by":"publisher","first-page":"137","DOI":"10.2215\/CJN.10580821","volume":"17","author":"A Denic","year":"2022","unstructured":"Denic A, Glassock RJ, Rule AD (2022) The kidney in normal aging: a comparison with chronic kidney disease. Clin J Am Soc Nephrol. 17(1):137-139. https:\/\/doi.org\/10.2215\/CJN.10580821","journal-title":"Clin J Am Soc Nephrol"},{"issue":"7","key":"4834_CR22","doi-asserted-by":"publisher","first-page":"2893","DOI":"10.21037\/qims-21-227","volume":"11","author":"YXJ Wang","year":"2021","unstructured":"Wang YXJ (2021) Gender-specific liver aging and magnetic resonance imaging. Quant Imaging Med Surg. 11(7):2893-2904. https:\/\/doi.org\/10.21037\/qims-21-227","journal-title":"Quant Imaging Med Surg"},{"issue":"4","key":"4834_CR23","doi-asserted-by":"publisher","first-page":"891","DOI":"10.3350\/cmh.2023.0024","volume":"29","author":"CY Jung","year":"2023","unstructured":"Jung CY, Chang JW (2023) Hepatorenal syndrome: Current concepts and future perspectives. Clin Mol Hepatol. 29(4):891-908. https:\/\/doi.org\/10.3350\/cmh.2023.0024","journal-title":"Clin Mol Hepatol."},{"key":"4834_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.arr.2022.101696","volume":"80","author":"MS Kuchay","year":"2022","unstructured":"Kuchay MS, Martinez-Montoro JI, Kaur P, Fernandez-Garcia JC, Ramos-Molina B (2022) Non-alcoholic fatty liver disease-related fibrosis and sarcopenia: an altered liver-muscle crosstalk leading to increased mortality risk. Ageing Res Rev. 80:101696. https:\/\/doi.org\/10.1016\/j.arr.2022.101696","journal-title":"Ageing Res Rev"},{"issue":"4","key":"4834_CR25","doi-asserted-by":"publisher","first-page":"1347","DOI":"10.1007\/s40620-020-00840-y","volume":"34","author":"A Sabatino","year":"2021","unstructured":"Sabatino A, Cuppari L, Stenvinkel P, Lindholm B, Avesani CM (2021) Sarcopenia in chronic kidney disease: what have we learned so far? J Nephrol. 34(4):1347-1372. https:\/\/doi.org\/10.1007\/s40620-020-00840-y","journal-title":"J Nephrol"},{"key":"4834_CR26","doi-asserted-by":"publisher","DOI":"10.1038\/s41574-023-00898-1","author":"G Xourafa","year":"2023","unstructured":"Xourafa G, Korbmacher M, Roden M (2023) Inter-organ crosstalk during development and progression of type 2 diabetes mellitus. Nat Rev Endocrinol. https:\/\/doi.org\/10.1038\/s41574-023-00898-1","journal-title":"Nat Rev Endocrinol"},{"key":"4834_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.metabol.2020.154433","volume":"115","author":"DQ Sun","year":"2021","unstructured":"Sun DQ, Jin Y, Wang TY, Zheng KI, Rios RS, Zhang HY, Targher G, Byrne CD, Yuan WJ, Zheng MH (2021) MAFLD and risk of CKD. Metabolism. 115:154433. https:\/\/doi.org\/10.1016\/j.metabol.2020.154433","journal-title":"Metabolism"},{"key":"4834_CR28","doi-asserted-by":"publisher","DOI":"10.3390\/nu11071664","author":"H Nishi","year":"2019","unstructured":"Nishi H, Higashihara T, Inagi R (2019) Lipotoxicity in kidney, heart, and skeletal muscle dysfunction. Nutrients. https:\/\/doi.org\/10.3390\/nu11071664","journal-title":"Nutrients"},{"issue":"3","key":"4834_CR29","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1053\/j.semnuclmed.2007.02.001","volume":"37","author":"JM Meier","year":"2007","unstructured":"Meier JM, Alavi A, Iruvuri S, Alzeair S, Parker R, Houseni M, Hernandez-Pampaloni M, Mong A, Torigian DA (2007) Assessment of age-related changes in abdominal organ structure and function with computed tomography and positron emission tomography. Semin Nucl Med. 37(3):154-172. https:\/\/doi.org\/10.1053\/j.semnuclmed.2007.02.001","journal-title":"Semin Nucl Med"},{"key":"4834_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.trsl.2017.10.009","volume":"194","author":"SR Kim","year":"2018","unstructured":"Kim SR, Lerman LO (2018) Diagnostic imaging in the management of patients with metabolic syndrome. Transl Res. 194:1-18. https:\/\/doi.org\/10.1016\/j.trsl.2017.10.009","journal-title":"Transl Res"},{"issue":"1","key":"4834_CR31","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0226889","volume":"15","author":"J Pienkowska","year":"2020","unstructured":"Pienkowska J, Brzeska B, Kaszubowski M, Kozak O, Jankowska A, Szurowska E (2020) The correlation between the MRI-evaluated ectopic fat accumulation and the incidence of diabetes mellitus and hypertension depends on body mass index and waist circumference ratio. PLoS ONE. 15(1):e0226889. https:\/\/doi.org\/10.1371\/journal.pone.0226889","journal-title":"PLoS ONE"},{"issue":"8","key":"4834_CR32","doi-asserted-by":"publisher","first-page":"933","DOI":"10.1002\/ca.20543","volume":"20","author":"Y Saisho","year":"2007","unstructured":"Saisho Y, Butler AE, Meier JJ, Monchamp T, Allen-Auerbach M, Rizza RA, Butler PC (2007) Pancreas volumes in humans from birth to age one hundred taking into account sex, obesity, and presence of type-2 diabetes. Clin Anat. 20(8):933-942. https:\/\/doi.org\/10.1002\/ca.20543","journal-title":"Clin Anat"},{"issue":"6","key":"4834_CR33","doi-asserted-by":"publisher","DOI":"10.1111\/eci.13748","volume":"52","author":"M Kanbay","year":"2022","unstructured":"Kanbay M, Copur S, Demiray A, Sag AA, Covic A, Ortiz A, Tuttle KR (2022) Fatty kidney: a possible future for chronic kidney disease research. Eur J Clin Invest. 52(6):e13748. https:\/\/doi.org\/10.1111\/eci.13748","journal-title":"Eur J Clin Invest"},{"issue":"11","key":"4834_CR34","doi-asserted-by":"publisher","first-page":"1971","DOI":"10.1016\/j.biochi.2013.07.017","volume":"95","author":"F Guebre-Egziabher","year":"2013","unstructured":"Guebre-Egziabher F, Alix PM, Koppe L, Pelletier CC, Kalbacher E, Fouque D, Soulage CO (2013) Ectopic lipid accumulation: a potential cause for metabolic disturbances and a contributor to the alteration of kidney function. Biochimie. 95(11):1971-1979. https:\/\/doi.org\/10.1016\/j.biochi.2013.07.017","journal-title":"Biochimie"},{"issue":"10","key":"4834_CR35","doi-asserted-by":"publisher","first-page":"2715","DOI":"10.1681\/ASN.2007010089","volume":"18","author":"S Kume","year":"2007","unstructured":"Kume S, Uzu T, Araki S, Sugimoto T, Isshiki K, Chin-Kanasaki M, Sakaguchi M, Kubota N, Terauchi Y, Kadowaki T, Haneda M, Kashiwagi A, Koya D (2007) Role of altered renal lipid metabolism in the development of renal injury induced by a high-fat diet. J Am Soc Nephrol. 18(10):2715-2723. https:\/\/doi.org\/10.1681\/ASN.2007010089","journal-title":"J Am Soc Nephrol"},{"issue":"5","key":"4834_CR36","doi-asserted-by":"publisher","first-page":"F1078","DOI":"10.1152\/ajprenal.00333.2011","volume":"301","author":"Z Li","year":"2011","unstructured":"Li Z, Woollard JR, Wang S, Korsmo MJ, Ebrahimi B, Grande JP, Textor SC, Lerman A, Lerman LO (2011) Increased glomerular filtration rate in early metabolic syndrome is associated with renal adiposity and microvascular proliferation. Am J Physiol Renal Physiol. 301(5):F1078-1087. https:\/\/doi.org\/10.1152\/ajprenal.00333.2011","journal-title":"Am J Physiol Renal Physiol"},{"issue":"10","key":"4834_CR37","doi-asserted-by":"publisher","first-page":"2143","DOI":"10.3945\/jn.116.236844","volume":"146","author":"L Schweitzer","year":"2016","unstructured":"Schweitzer L, Geisler C, Pourhassan M, Braun W, Gluer CC, Bosy-Westphal A, Muller MJ (2016) Estimation of skeletal muscle mass and visceral adipose tissue volume by a single magnetic resonance imaging slice in healthy elderly adults. J Nutr. 146(10):2143-2148. https:\/\/doi.org\/10.3945\/jn.116.236844","journal-title":"J Nutr"},{"key":"4834_CR38","doi-asserted-by":"publisher","first-page":"623","DOI":"10.2147\/DMSO.S194690","volume":"12","author":"J Pienkowska","year":"2019","unstructured":"Pienkowska J, Brzeska B, Kaszubowski M, Kozak O, Jankowska A, Szurowska E (2019) MRI assessment of ectopic fat accumulation in pancreas, liver and skeletal muscle in patients with obesity, overweight and normal BMI in correlation with the presence of central obesity and metabolic syndrome. Diabetes Metab Syndr Obes. 12:623-636. https:\/\/doi.org\/10.2147\/DMSO.S194690","journal-title":"Diabetes Metab Syndr Obes"}],"container-title":["Abdominal Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00261-025-04834-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00261-025-04834-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00261-025-04834-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T03:36:47Z","timestamp":1754537807000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00261-025-04834-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,12]]},"references-count":38,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2025,9]]}},"alternative-id":["4834"],"URL":"https:\/\/doi.org\/10.1007\/s00261-025-04834-x","relation":{},"ISSN":["2366-0058"],"issn-type":[{"value":"2366-0058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,12]]},"assertion":[{"value":"23 December 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 January 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 February 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 February 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}