{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T00:12:04Z","timestamp":1790208724013,"version":"4.1.0"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T00:00:00Z","timestamp":1733270400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T00:00:00Z","timestamp":1733270400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"the Scientific Research Project of Hunan Provincial Health Commission","award":["20201028"],"award-info":[{"award-number":["20201028"]}]},{"name":"the National Natural Science Foundation of Hunan","award":["2021JJ70104"],"award-info":[{"award-number":["2021JJ70104"]}]},{"name":"the China International Medical Foundation","award":["2-2014-07-1912-22"],"award-info":[{"award-number":["2-2014-07-1912-22"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Abdom Radiol"],"DOI":"10.1007\/s00261-024-04710-0","type":"journal-article","created":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T13:08:28Z","timestamp":1733317708000},"page":"2388-2400","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["MRI-based radiomic nomogram for predicting disease-free survival in patients with locally advanced rectal cancer"],"prefix":"10.1007","volume":"50","author":[{"given":"Jun","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ke","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fang","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pingsheng","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feng","family":"Bi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siye","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lian","family":"Jian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jumei","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaolin","family":"Nie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiang","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoping","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lu","family":"Wen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,12,4]]},"reference":[{"key":"4710_CR1","doi-asserted-by":"publisher","unstructured":"Sung, H., J. Ferlay, R.L. Siegel, M. Laversanne, I. Soerjomataram, A. Jemal, and F. Bray (2021) Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin 71(3). https:\/\/https:\/\/doi.org\/10.3322\/caac.21660","DOI":"10.3322\/caac.21660"},{"key":"4710_CR2","doi-asserted-by":"publisher","unstructured":"Siegel, R.L., K.D. Miller, S.A. Fedewa, D.J. Ahnen, R.G.S. Meester, A. Barzi, and A. Jemal (2017) Colorectal cancer statistics, 2017. CA Cancer J Clin 67(3). https:\/\/https:\/\/doi.org\/10.3322\/caac.21395","DOI":"10.3322\/caac.21395"},{"key":"4710_CR3","doi-asserted-by":"publisher","unstructured":"Valentini, V., C. Aristei, B. Glimelius, B.D. Minsky, R. Beets-Tan, J.M. Borras, K. Haustermans, P. Maingon, J. Overgaard, L. Pahlman, P. Quirke, H.J. Schmoll, D. Sebag-Montefiore, I. Taylor, E. Van Cutsem, C. Van de Velde, N. Cellini, P. Latini, and C. Scientific (2009) Multidisciplinary rectal cancer management: 2nd European rectal cancer consensus conference (EURECA-CC2). Radiother Oncol 92(2). https:\/\/https:\/\/doi.org\/10.1016\/j.radonc.2009.06.027","DOI":"10.1016\/j.radonc.2009.06.027"},{"key":"4710_CR4","doi-asserted-by":"publisher","unstructured":"Rodel, C., T. Liersch, H. Becker, R. Fietkau, W. Hohenberger, T. Hothorn, U. Graeven, D. Arnold, M. Lang-Welzenbach, H.R. Raab, H. Sulberg, C. Wittekind, S. Potapov, L. Staib, C. Hess, K. Weigang-Kohler, G.G. Grabenbauer, H. Hoffmanns, F. Lindemann, A. Schlenska-Lange, G. Folprecht, R. Sauer, and G. German Rectal Cancer Study (2012) Preoperative chemoradiotherapy and postoperative chemotherapy with fluorouracil and oxaliplatin versus fluorouracil alone in locally advanced rectal cancer: initial results of the German CAO\/ARO\/AIO-04 randomised phase 3 trial. Lancet Oncol 13(7). https:\/\/https:\/\/doi.org\/10.1016\/S1470-2045(12)70187-0","DOI":"10.1016\/S1470-2045(12)70187-0"},{"key":"4710_CR5","doi-asserted-by":"publisher","unstructured":"Van Gijn, W., C.A. Marijnen, I.D. Nagtegaal, E.M. Kranenbarg, H. Putter, T. Wiggers, H.J. Rutten, L. Pahlman, B. Glimelius, C.J. van de Velde, and G. Dutch Colorectal Cancer (2011) Preoperative radiotherapy combined with total mesorectal excision for resectable rectal cancer: 12-year follow-up of the multicentre, randomised controlled TME trial. Lancet Oncol 12(6). https:\/\/https:\/\/doi.org\/10.1016\/S1470-2045(11)70097-3","DOI":"10.1016\/S1470-2045(11)70097-3"},{"key":"4710_CR6","doi-asserted-by":"publisher","unstructured":"Valentini, V., R.G. van Stiphout, G. Lammering, M.A. Gambacorta, M.C. Barba, M. Bebenek, F. Bonnetain, J.F. Bosset, K. Bujko, L. Cionini, J.P. Gerard, C. Rodel, A. Sainato, R. Sauer, B.D. Minsky, L. Collette, and P. Lambin (2011) Nomograms for predicting local recurrence, distant metastases, and overall survival for patients with locally advanced rectal cancer on the basis of European randomized clinical trials. J Clin Oncol 29(23). https:\/\/https:\/\/doi.org\/10.1200\/JCO.2010.33.1595","DOI":"10.1200\/JCO.2010.33.1595"},{"key":"4710_CR7","doi-asserted-by":"publisher","unstructured":"Hong, Y.S., B.H. Nam, K.P. Kim, J.E. Kim, S.J. Park, Y.S. Park, J.O. Park, S.Y. Kim, T.Y. Kim, J.H. Kim, J.B. Ahn, S.B. Lim, C.S. Yu, J.C. Kim, S.H. Yun, J.H. Kim, J.H. Park, H.C. Park, K.H. Jung, and T.W. Kim (2014) Oxaliplatin, fluorouracil, and leucovorin versus fluorouracil and leucovorin as adjuvant chemotherapy for locally advanced rectal cancer after preoperative chemoradiotherapy (ADORE): an open-label, multicentre, phase 2, randomised controlled trial. Lancet Oncol 15(11). https:\/\/https:\/\/doi.org\/10.1016\/S1470-2045(14)70377-8","DOI":"10.1016\/S1470-2045(14)70377-8"},{"key":"4710_CR8","doi-asserted-by":"publisher","unstructured":"Polanco, P.M., A.A. Mokdad, H. Zhu, M.A. Choti, and S. Huerta (2018) Association of adjuvant chemotherapy with overall survival in patients with rectal cancer and pathologic complete response following neoadjuvant chemotherapy and resection. JAMA Oncol 4(7). https:\/\/https:\/\/doi.org\/10.1001\/jamaoncol.2018.0231","DOI":"10.1001\/jamaoncol.2018.0231"},{"key":"4710_CR9","doi-asserted-by":"publisher","unstructured":"Maas., M., P.J. Nelemans., V. Valentini., C.H. Crane., C. Capirci., and C. Rodel. (2015) Adjuvant chemotherapy in rectal cancer: defining subgroups who may benefit after neoadjuvant chemoradiation and resection: a pooled analysis of 3,313 patients - PubMed. International journal of cancer 137(1). https:\/\/https:\/\/doi.org\/10.1002\/ijc.29355","DOI":"10.1002\/ijc.29355"},{"key":"4710_CR10","doi-asserted-by":"publisher","unstructured":"Sun, Y., H. Lin, X. Lu, Y. Huang, Z. Xu, S. Huang, X. Wang, and P. Chi (2017) A nomogram to predict distant metastasis after neoadjuvant chemoradiotherapy and radical surgery in patients with locally advanced rectal cancer. J Surg Oncol 115(4). https:\/\/https:\/\/doi.org\/10.1002\/jso.24522","DOI":"10.1002\/jso.24522"},{"key":"4710_CR11","doi-asserted-by":"publisher","unstructured":"Merkel, S., K. Weber, V. Schellerer, J. Gohl, R. Fietkau, A. Agaimy, W. Hohenberger, and P. Hermanek (2014) Prognostic subdivision of ypT3 rectal tumours according to extension beyond the muscularis propria. Br J Surg 101(5). https:\/\/https:\/\/doi.org\/10.1002\/bjs.9419","DOI":"10.1002\/bjs.9419"},{"key":"4710_CR12","doi-asserted-by":"publisher","unstructured":"Kim, W.R., Y.D. Han, and B.S. Min (2018) C-reactive protein level predicts survival outcomes in rectal cancer patients undergoing total mesorectal excision after preoperative chemoradiation therapy. Ann Surg Oncol 25(13). https:\/\/https:\/\/doi.org\/10.1245\/s10434-018-6828-4","DOI":"10.1245\/s10434-018-6828-4"},{"key":"4710_CR13","doi-asserted-by":"publisher","unstructured":"Fokas, E., T. Liersch, R. Fietkau, W. Hohenberger, T. Beissbarth, C. Hess, H. Becker, M. Ghadimi, K. Mrak, S. Merkel, H.R. Raab, R. Sauer, C. Wittekind, and C. Rodel (2014) Tumor regression grading after preoperative chemoradiotherapy for locally advanced rectal carcinoma revisited: updated results of the CAO\/ARO\/AIO-94 trial. J Clin Oncol 32(15). https:\/\/https:\/\/doi.org\/10.1200\/JCO.2013.54.3769","DOI":"10.1200\/JCO.2013.54.3769"},{"key":"4710_CR14","doi-asserted-by":"publisher","unstructured":"Conroy, T., J.F. Bosset, P.L. Etienne, E. Rio, E. Francois, N. Mesgouez-Nebout, V. Vendrely, X. Artignan, O. Bouche, D. Gargot, V. Boige, N. Bonichon-Lamichhane, C. Louvet, C. Morand, C. de la Fouchardiere, N. Lamfichekh, B. Juzyna, C. Jouffroy-Zeller, E. Rullier, F. Marchal, S. Gourgou, F. Castan, C. Borg, G. Unicancer Gastrointestinal, and G. Partenariat de Recherche en Oncologie Digestive (2021) Neoadjuvant chemotherapy with FOLFIRINOX and preoperative chemoradiotherapy for patients with locally advanced rectal cancer (UNICANCER-PRODIGE 23): a multicentre, randomised, open-label, phase 3 trial. Lancet Oncol 22(5). https:\/\/https:\/\/doi.org\/10.1016\/S1470-2045(21)00079-6","DOI":"10.1016\/S1470-2045(21)00079-6"},{"key":"4710_CR15","doi-asserted-by":"publisher","unstructured":"Bahadoer, R.R., E.A. Dijkstra, B. van Etten, C.A.M. Marijnen, H. Putter, E.M. Kranenbarg, A.G.H. Roodvoets, I.D. Nagtegaal, R.G.H. Beets-Tan, L.K. Blomqvist, T. Fokstuen, A.J. Ten Tije, J. Capdevila, M.P. Hendriks, I. Edhemovic, A. Cervantes, P.J. Nilsson, B. Glimelius, C.J.H. van de Velde, G.A.P. Hospers, and R.c. investigators (2021) Short-course radiotherapy followed by chemotherapy before total mesorectal excision (TME) versus preoperative chemoradiotherapy, TME, and optional adjuvant chemotherapy in locally advanced rectal cancer (RAPIDO): a randomised, open-label, phase 3 trial. Lancet Oncol 22(1). https:\/\/https:\/\/doi.org\/10.1016\/S1470-2045(20)30555-6","DOI":"10.1016\/S1470-2045(20)30555-6"},{"key":"4710_CR16","doi-asserted-by":"publisher","unstructured":"Jin, J., Y. Tang, C. Hu, L.M. Jiang, J. Jiang, N. Li, W.Y. Liu, S.L. Chen, S. Li, N.N. Lu, Y. Cai, Y.H. Li, Y. Zhu, G.H. Cheng, H.Y. Zhang, X. Wang, S.Y. Zhu, J. Wang, G.F. Li, J.L. Yang, K. Zhang, Y. Chi, L. Yang, H.T. Zhou, A.P. Zhou, S.M. Zou, H. Fang, S.L. Wang, H.Z. Zhang, X.S. Wang, L.C. Wei, W.L. Wang, S.X. Liu, Y.H. Gao, and Y.X. Li (2022) Multicenter, randomized, phase III trial of short-term radiotherapy plus chemotherapy versus long-term chemoradiotherapy in locally advanced rectal cancer (STELLAR). J Clin Oncol 40(15). https:\/\/https:\/\/doi.org\/10.1200\/JCO.21.01667","DOI":"10.1200\/JCO.21.01667"},{"key":"4710_CR17","doi-asserted-by":"publisher","unstructured":"Hatt, M., F. Tixier, D. Visvikis, and C. Cheze Le Rest (2017) Radiomics in PET\/CT: more than meets the eye? J Nucl Med 58(3). https:\/\/https:\/\/doi.org\/10.2967\/jnumed.116.184655","DOI":"10.2967\/jnumed.116.184655"},{"key":"4710_CR18","doi-asserted-by":"publisher","unstructured":"Kuo, M.D. and N. Jamshidi (2014) Behind the numbers: decoding molecular phenotypes with radiogenomics--guiding principles and technical considerations. Radiology 270(2). https:\/\/https:\/\/doi.org\/10.1148\/radiol.13132195","DOI":"10.1148\/radiol.13132195"},{"key":"4710_CR19","doi-asserted-by":"publisher","unstructured":"Gevaert, O., J. Xu, C.D. Hoang, A.N. Leung, Y. Xu, A. Quon, D.L. Rubin, S. Napel, and S.K. Plevritis (2012) Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results. Radiology 264(2). https:\/\/https:\/\/doi.org\/10.1148\/radiol.12111607","DOI":"10.1148\/radiol.12111607"},{"key":"4710_CR20","doi-asserted-by":"publisher","unstructured":"Cui, Y., G. Wang, J. Ren, L. Hou, D. Li, Q. Wen, Y. Xi, and X. Yang (2022) Radiomics features at multiparametric MRI predict disease-free survival in patients with locally advanced rectal cancer. Acad Radiol 29(8). https:\/\/https:\/\/doi.org\/10.1016\/j.acra.2021.11.024","DOI":"10.1016\/j.acra.2021.11.024"},{"key":"4710_CR21","doi-asserted-by":"publisher","unstructured":"Wang, F., B.F. Tan, S.S. Poh, T.R. Siow, F. Lim, C.S.P. Yip, M.L.C. Wang, W. Nei, and H.Q. Tan (2022) Predicting outcomes for locally advanced rectal cancer treated with neoadjuvant chemoradiation with CT-based radiomics. Sci Rep 12(1). https:\/\/https:\/\/doi.org\/10.1038\/s41598-022-10175-2","DOI":"10.1038\/s41598-022-10175-2"},{"key":"4710_CR22","doi-asserted-by":"publisher","unstructured":"Tibermacine, H., P. Rouanet, M. Sbarra, R. Forghani, C. Reinhold, S. Nougaret, and G.S. Group (2021) Radiomics modelling in rectal cancer to predict disease-free survival: evaluation of different approaches. Br J Surg 108(10). https:\/\/https:\/\/doi.org\/10.1093\/bjs\/znab191","DOI":"10.1093\/bjs\/znab191"},{"key":"4710_CR23","doi-asserted-by":"publisher","unstructured":"Cui, Y., W. Yang, J. Ren, D. Li, X. Du, J. Zhang, and X. Yang (2021) Prognostic value of multiparametric MRI-based radiomics model: potential role for chemotherapeutic benefits in locally advanced rectal cancer. Radiother Oncol 154. https:\/\/https:\/\/doi.org\/10.1016\/j.radonc.2020.09.039","DOI":"10.1016\/j.radonc.2020.09.039"},{"key":"4710_CR24","doi-asserted-by":"publisher","unstructured":"Li, M., Y.Z. Zhu, Y.C. Zhang, Y.F. Yue, H.P. Yu, and B. Song (2020) Radiomics of rectal cancer for predicting distant metastasis and overall survival. World J Gastroenterol 26(33). https:\/\/https:\/\/doi.org\/10.3748\/wjg.v26.i33.5008","DOI":"10.3748\/wjg.v26.i33.5008"},{"key":"4710_CR25","doi-asserted-by":"publisher","unstructured":"Wen, L., J. Liu, P. Hu, F. Bi, S. Liu, L. Jian, S. Zhu, S. Nie, F. Cao, Q. Lu, X. Yu, and K. Liu (2023) MRI-based radiomic models outperform radiologists in predicting pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. Acad Radiol 30 Suppl 1. https:\/\/https:\/\/doi.org\/10.1016\/j.acra.2022.12.037","DOI":"10.1016\/j.acra.2022.12.037"},{"key":"4710_CR26","doi-asserted-by":"publisher","unstructured":"Jalil, O., A. Afaq, B. Ganeshan, U.B. Patel, D. Boone, R. Endozo, A. Groves, B. Sizer, and T. Arulampalam (2017) Magnetic resonance based texture parameters as potential imaging biomarkers for predicting long-term survival in locally advanced rectal cancer treated by chemoradiotherapy. Colorectal Dis 19(4). https:\/\/https:\/\/doi.org\/10.1111\/codi.13496","DOI":"10.1111\/codi.13496"},{"key":"4710_CR27","doi-asserted-by":"publisher","unstructured":"Lovinfosse, P., M. Polus, D. Van Daele, P. Martinive, F. Daenen, M. Hatt, D. Visvikis, B. Koopmansch, F. Lambert, C. Coimbra, L. Seidel, A. Albert, P. Delvenne, and R. Hustinx (2018) FDG PET\/CT radiomics for predicting the outcome of locally advanced rectal cancer. Eur J Nucl Med Mol Imaging 45(3). https:\/\/https:\/\/doi.org\/10.1007\/s00259-017-3855-5","DOI":"10.1007\/s00259-017-3855-5"},{"key":"4710_CR28","doi-asserted-by":"publisher","unstructured":"Stollfuss, J.C., K. Becker, A. Sendler, S. Seidl, M. Settles, F. Auer, A. Beer, E.J. Rummeny, and K. Woertler (2006) Rectal carcinoma: high-spatial-resolution MR imaging and T2 quantification in rectal cancer specimens. Radiology 241(1). https:\/\/https:\/\/doi.org\/10.1148\/radiol.2411050942","DOI":"10.1148\/radiol.2411050942"},{"key":"4710_CR29","doi-asserted-by":"publisher","unstructured":"Treiber, J.M., N.S. White, T.C. Steed, H. Bartsch, D. Holland, N. Farid, C.R. McDonald, B.S. Carter, A.M. Dale, and C.C. Chen (2016) Characterization and correction of geometric distortions in 814 diffusion weighted images. PLoS One 11(3). https:\/\/https:\/\/doi.org\/10.1371\/journal.pone.0152472","DOI":"10.1371\/journal.pone.0152472"},{"key":"4710_CR30","doi-asserted-by":"publisher","unstructured":"Tao, R., P.T. Fletcher, S. Gerber, and R.T. Whitaker (2009) A variational image-based approach to the correction of susceptibility artifacts in the alignment of diffusion weighted and structural MRI. Inf Process Med Imaging 21. https:\/\/https:\/\/doi.org\/10.1007\/978-3-642-02498-6_55","DOI":"10.1007\/978-3-642-02498-6_55"},{"key":"4710_CR31","doi-asserted-by":"publisher","unstructured":"Liu, Z., X. Meng, H. Zhang, Z. Li, J. Liu, K. Sun, Y. Meng, W. Dai, P. Xie, Y. Ding, M. Wang, G. Cai, and J. Tian (2020) Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer. Nat Commun 11(1). https:\/\/https:\/\/doi.org\/10.1038\/s41467-020-18162-9","DOI":"10.1038\/s41467-020-18162-9"},{"key":"4710_CR32","doi-asserted-by":"publisher","unstructured":"Zhao, Y., F. Huang, S. Liu, L. Jian, X. Xia, H. Lin, and J. Liu (2023) Prediction of therapeutic response of unresectable hepatocellular carcinoma to hepatic arterial infusion chemotherapy based on pretherapeutic MRI radiomics and Albumin-Bilirubin score. J Cancer Res Clin Oncol 149(8). https:\/\/https:\/\/doi.org\/10.1007\/s00432-022-04467-3","DOI":"10.1007\/s00432-022-04467-3"},{"key":"4710_CR33","doi-asserted-by":"publisher","unstructured":"Xie, K., C. Cui, X. Li, Y. Yuan, Z. Wang, and L. Zeng (2024) MRI-based clinical-imaging-radiomics nomogram model for discriminating between benign and malignant solid pulmonary nodules or masses. Acad Radiol 31(10). https:\/\/https:\/\/doi.org\/10.1016\/j.acra.2024.03.042","DOI":"10.1016\/j.acra.2024.03.042"},{"key":"4710_CR34","doi-asserted-by":"publisher","unstructured":"Lin, Y., Y. Gao, and T. Weng (2024) Construction and validation of a MRI\u2011based radiomic nomogram to predict overall survival in patients with local advanced cervical cancer: a multicenter study. Acad Radiol 31(11). https:\/\/https:\/\/doi.org\/10.1016\/j.acra.2024.05.003","DOI":"10.1016\/j.acra.2024.05.003"}],"container-title":["Abdominal Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00261-024-04710-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00261-024-04710-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00261-024-04710-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T07:57:23Z","timestamp":1747036643000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00261-024-04710-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,4]]},"references-count":34,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2025,6]]}},"alternative-id":["4710"],"URL":"https:\/\/doi.org\/10.1007\/s00261-024-04710-0","relation":{},"ISSN":["2366-0058"],"issn-type":[{"value":"2366-0058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,4]]},"assertion":[{"value":"27 August 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 November 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 November 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 December 2024","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"}},{"value":"The approval for this retrospective study was granted by the institutional review board of our hospital.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}