{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T19:20:28Z","timestamp":1792783228358,"version":"4.5.0"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T00:00:00Z","timestamp":1783900800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T00:00:00Z","timestamp":1783900800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Henan Zhongyuan Medical Science and Technology Innovation and Development Foundation","award":["No. ZYYC2024MB"],"award-info":[{"award-number":["No. ZYYC2024MB"]}],"id":[{"id":"https:\/\/ror.org\/056cbez68","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Radiol med"],"DOI":"10.1007\/s11547-026-02253-6","type":"journal-article","created":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T11:01:29Z","timestamp":1783940489000},"page":"1562-1573","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Intratumoral and peritumoral CT radiomics combined with clinical and hematologic inflammatory markers for predicting lymph node metastasis in esophageal squamous cell carcinoma: a retrospective single-center study"],"prefix":"10.1007","volume":"131","author":[{"given":"Xinmiao","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongfeng","family":"Niu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziqing","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingjing","family":"Ren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinrong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kan","family":"Deng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingxia","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaohong","family":"Kang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junqiang","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Changhua","family":"Liang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,13]]},"reference":[{"key":"2253_CR1","doi-asserted-by":"publisher","first-page":"2807","DOI":"10.1016\/j.acra.2023.12.025","volume":"31","author":"J Jia","year":"2024","unstructured":"Jia J, Liu Z, Wang F, Bai G (2024) Consensus clustering analysis based on enhanced-CT radiomic features: esophageal squamous cell carcinoma patients\u2019 3-year progression-free survival. Acad Radiol 31:2807\u20132817. https:\/\/doi.org\/10.1016\/j.acra.2023.12.025","journal-title":"Acad Radiol"},{"key":"2253_CR2","doi-asserted-by":"publisher","DOI":"10.1002\/acm2.14504","volume":"25","author":"H Ma","year":"2024","unstructured":"Ma H, Liu Y, Ye H et al (2024) A prognostic nomogram for T3N0M0 esophageal squamous cell carcinoma patients undergoing radical surgery based on computed tomography radiomics and inflammatory nutritional biomarkers. J Appl Clin Med Phys 25:e14504. https:\/\/doi.org\/10.1002\/acm2.14504","journal-title":"J Appl Clin Med Phys"},{"key":"2253_CR3","doi-asserted-by":"publisher","first-page":"5856","DOI":"10.1245\/s10434-023-13655-5","volume":"30","author":"K Li","year":"2023","unstructured":"Li K, Nie X, Li C et al (2023) Mapping of lymph node metastasis and efficacy index in thoracic esophageal squamous cell carcinoma: a large-scale retrospective analysis. Ann Surg Oncol 30:5856\u20135865. https:\/\/doi.org\/10.1245\/s10434-023-13655-5","journal-title":"Ann Surg Oncol"},{"key":"2253_CR4","doi-asserted-by":"publisher","DOI":"10.1186\/s40644-024-00656-0","volume":"24","author":"D Gao","year":"2024","unstructured":"Gao D, Tan B, Chen X et al (2024) Contrast-enhanced CT radiomics features to preoperatively identify differences between tumor and proximal tumor-adjacent and tumor-distant tissues of resectable esophageal squamous cell carcinoma. Cancer Imaging 24:11. https:\/\/doi.org\/10.1186\/s40644-024-00656-0","journal-title":"Cancer Imaging"},{"key":"2253_CR5","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2021.738936","volume":"11","author":"C Chen","year":"2021","unstructured":"Chen C, Chen J, Luo T et al (2021) Late toxicities, failure patterns, local tumor control, and survival of esophageal squamous cell carcinoma patients after chemoradiotherapy with a simultaneous integrated boost: A 5-year phase II study. Front Oncol 11:738936. https:\/\/doi.org\/10.3389\/fonc.2021.738936","journal-title":"Front Oncol"},{"key":"2253_CR6","doi-asserted-by":"publisher","first-page":"998","DOI":"10.21037\/atm-21-2539","volume":"9","author":"X Deng","year":"2021","unstructured":"Deng X, He W, Jiang Y et al (2021) The impact of adjuvant therapy on survival for node-negative esophageal squamous cell carcinoma: a propensity score-matched analysis. Ann Transl Med 9:998\u2013998. https:\/\/doi.org\/10.21037\/atm-21-2539","journal-title":"Ann Transl Med"},{"key":"2253_CR7","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2022.814238","volume":"12","author":"L Chu","year":"2022","unstructured":"Chu L, Liu S, Guo T et al (2022) Is performance of fluorine-18-fluorodeoxyglucose positron emission tomography\/computed tomography (CT) or contrast-enhanced CT efficient enough to guide the hilar lymph node staging for patients with esophageal squamous cell carcinoma? Front Oncol 12:814238. https:\/\/doi.org\/10.3389\/fonc.2022.814238","journal-title":"Front Oncol"},{"key":"2253_CR8","doi-asserted-by":"publisher","DOI":"10.1186\/s12885-023-11044-5","volume":"23","author":"J Qiu","year":"2023","unstructured":"Qiu J, Yang J, Yu Y et al (2023) Prognostic value of pre-therapeutic nutritional risk factors in elderly patients with locally advanced esophageal squamous cell carcinoma receiving definitive chemoradiotherapy or radiotherapy. BMC Cancer 23:597. https:\/\/doi.org\/10.1186\/s12885-023-11044-5","journal-title":"BMC Cancer"},{"key":"2253_CR9","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2020.602681","volume":"10","author":"N Kang","year":"2021","unstructured":"Kang N, Fang Y, Zhu H et al (2021) Prognostic value of CT imaging-based tumor volume in patients with non-surgical esophageal squamous cell carcinoma. Front Oncol 10:602681. https:\/\/doi.org\/10.3389\/fonc.2020.602681","journal-title":"Front Oncol"},{"key":"2253_CR10","doi-asserted-by":"publisher","first-page":"374","DOI":"10.1007\/s11547-025-02155-z","volume":"131","author":"Z Li","year":"2025","unstructured":"Li Z, Zhang J, Sun C et al (2025) Multi-sequence MRI deep learning and habitat radiomics for predicting mismatch repair status and prognosis in colorectal liver metastasis: a multicenter study. Radiol Med 131:374\u2013385. https:\/\/doi.org\/10.1007\/s11547-025-02155-z","journal-title":"Radiol Med"},{"key":"2253_CR11","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.diii.2022.10.008","volume":"104","author":"C Xue","year":"2023","unstructured":"Xue C, Zhou Q, Xi H, Zhou J (2023) Radiomics: a review of current applications and possibilities in the assessment of tumor microenvironment. Diagn Interv Imaging 104:113\u2013122. https:\/\/doi.org\/10.1016\/j.diii.2022.10.008","journal-title":"Diagn Interv Imaging"},{"key":"2253_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/s11547-025-02170-0","author":"B Fu","year":"2026","unstructured":"Fu B, Zhang P, Yu Z et al (2026) Computed tomography-based artificial intelligence for predicting preoperative microvascular invasion in hepatocellular carcinoma: a systematic review and meta-analysis. Radiol Med (Torino). https:\/\/doi.org\/10.1007\/s11547-025-02170-0","journal-title":"Radiol Med (Torino)"},{"key":"2253_CR13","doi-asserted-by":"publisher","first-page":"6030","DOI":"10.1007\/s00330-020-07624-9","volume":"31","author":"Y Xie","year":"2021","unstructured":"Xie Y, Zhao H, Guo Y et al (2021) A PET\/CT nomogram incorporating SUVmax and CT radiomics for preoperative nodal staging in non-small cell lung cancer. Eur Radiol 31:6030\u20136038. https:\/\/doi.org\/10.1007\/s00330-020-07624-9","journal-title":"Eur Radiol"},{"key":"2253_CR14","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2020.28086","volume":"3","author":"Y Yu","year":"2020","unstructured":"Yu Y, Tan Y, Xie C et al (2020) Development and validation of a preoperative magnetic resonance imaging radiomics-based signature to predict axillary lymph node metastasis and disease-free survival in patients with early-stage breast cancer. JAMA Netw Open 3:e2028086. https:\/\/doi.org\/10.1001\/jamanetworkopen.2020.28086","journal-title":"JAMA Netw Open"},{"key":"2253_CR15","doi-asserted-by":"publisher","first-page":"976","DOI":"10.1007\/s00330-019-06398-z","volume":"30","author":"Y Wang","year":"2020","unstructured":"Wang Y, Liu W, Yu Y et al (2020) CT radiomics nomogram for the preoperative prediction of lymph node metastasis in gastric cancer. Eur Radiol 30:976\u2013986. https:\/\/doi.org\/10.1007\/s00330-019-06398-z","journal-title":"Eur Radiol"},{"key":"2253_CR16","doi-asserted-by":"publisher","first-page":"2000","DOI":"10.1007\/s11547-025-02090-z","volume":"130","author":"R Fusco","year":"2025","unstructured":"Fusco R, Granata V, Mattace Raso M et al (2025) Radiomics integrated with machine and deep learning analysis of T2-weighted and arterial-phase T1-weighted magnetic resonance imaging for non-invasive detection of metastatic axillary lymph nodes in breast cancer. Radiol Med (Torino) 130:2000\u20132011. https:\/\/doi.org\/10.1007\/s11547-025-02090-z","journal-title":"Radiol Med (Torino)"},{"key":"2253_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.radonc.2023.109938","volume":"189","author":"C-H Lin","year":"2023","unstructured":"Lin C-H, Yan J-L, Yap W-K et al (2023) Prognostic value of interim CT-based peritumoral and intratumoral radiomics in laryngeal and hypopharyngeal cancer patients undergoing definitive radiotherapy. Radiother Oncol 189:109938. https:\/\/doi.org\/10.1016\/j.radonc.2023.109938","journal-title":"Radiother Oncol"},{"key":"2253_CR18","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2020.15927","volume":"3","author":"Y Hu","year":"2020","unstructured":"Hu Y, Xie C, Yang H et al (2020) Assessment of intratumoral and peritumoral computed tomography radiomics for predicting pathological complete response to neoadjuvant chemoradiation in patients with esophageal squamous cell carcinoma. JAMA Netw Open 3:e2015927. https:\/\/doi.org\/10.1001\/jamanetworkopen.2020.15927","journal-title":"JAMA Netw Open"},{"key":"2253_CR19","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1186\/s40644-024-00743-2","volume":"24","author":"R Yan","year":"2024","unstructured":"Yan R, Qin S, Xu J et al (2024) A comparison of 2D and 3D magnetic resonance imaging-based intratumoral and peritumoral radiomics models for the prognostic prediction of endometrial cancer: a pilot study. Cancer Imaging 24:100. https:\/\/doi.org\/10.1186\/s40644-024-00743-2","journal-title":"Cancer Imaging"},{"key":"2253_CR20","doi-asserted-by":"publisher","first-page":"1153784","DOI":"10.3389\/fradi.2023.1153784","volume":"3","author":"J Wu","year":"2023","unstructured":"Wu J, Xia Y, Wang X et al (2023) uRP: An integrated research platform for one-stop analysis of medical images. Front Radiol 3:1153784. https:\/\/doi.org\/10.3389\/fradi.2023.1153784","journal-title":"Front Radiol"},{"key":"2253_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2026.02.039","author":"X Yao","year":"2026","unstructured":"Yao X, Lin J, Hu C et al (2026) A Novel CT Habitat Radiomics Approach for HER2 Status Prediction in Gastric Cancer. Acad Radiol. https:\/\/doi.org\/10.1016\/j.acra.2026.02.039","journal-title":"Acad Radiol"},{"key":"2253_CR22","doi-asserted-by":"publisher","DOI":"10.1186\/s13244-026-02214-7","volume":"17","author":"P Zhan","year":"2026","unstructured":"Zhan P, Yang S, Li L et al (2026) CT-based radiomics for predicting the treatment response to PD-1\/PD-L1 inhibitors combined with chemotherapy in unresectable gastric cancer. Insights Imaging 17:66. https:\/\/doi.org\/10.1186\/s13244-026-02214-7","journal-title":"Insights Imaging"},{"key":"2253_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2026.112747","volume":"198","author":"F Zeng","year":"2026","unstructured":"Zeng F, Chen C, Lin H et al (2026) Predicting axillary lymph node metastasis in clinical T1\/2 stage breast cancer using iodine map-derived multi-region radiomics and multi-modality imaging characteristics. Eur J Radiol 198:112747. https:\/\/doi.org\/10.1016\/j.ejrad.2026.112747","journal-title":"Eur J Radiol"},{"key":"2253_CR24","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2023.1185663","volume":"13","author":"Z HajiEsmailPoor","year":"2023","unstructured":"HajiEsmailPoor Z, Tabnak P, Baradaran B et al (2023) Diagnostic performance of CT scan\u2013based radiomics for prediction of lymph node metastasis in gastric cancer: a systematic review and meta-analysis. Front Oncol 13:1185663. https:\/\/doi.org\/10.3389\/fonc.2023.1185663","journal-title":"Front Oncol"},{"key":"2253_CR25","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1038\/s41698-025-00929-2","volume":"9","author":"Y Zhang","year":"2025","unstructured":"Zhang Y, Liu L, Han M et al (2025) Unraveling the power of radiomics: prediction and exploration of lymph node metastasis in stage T1\/2 esophageal squamous cell carcinoma. npj Precision Oncology 9:176. https:\/\/doi.org\/10.1038\/s41698-025-00929-2","journal-title":"npj Precision Oncology"},{"key":"2253_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2023.111197","volume":"170","author":"Y Wu","year":"2024","unstructured":"Wu Y, Wu L, Ou J et al (2024) Preoperative CT radiomics of esophageal squamous cell carcinoma and lymph node to predict nodal disease with a high diagnostic capability. Eur J Radiol 170:111197. https:\/\/doi.org\/10.1016\/j.ejrad.2023.111197","journal-title":"Eur J Radiol"},{"key":"2253_CR27","doi-asserted-by":"publisher","first-page":"3960","DOI":"10.3748\/wjg.v28.i29.3960","volume":"28","author":"Y-C Zhang","year":"2022","unstructured":"Zhang Y-C, Li M, Jin Y-M et al (2022) Radiomics for differentiating tumor deposits from lymph node metastasis in rectal cancer. World J Gastroenterol 28:3960\u20133970. https:\/\/doi.org\/10.3748\/wjg.v28.i29.3960","journal-title":"World J Gastroenterol"},{"key":"2253_CR28","doi-asserted-by":"publisher","first-page":"3795","DOI":"10.1097\/JS9.0000000000001239","volume":"110","author":"E Abbaspour","year":"2024","unstructured":"Abbaspour E, Karimzadhagh S, Monsef A et al (2024) Application of radiomics for preoperative prediction of lymph node metastasis in colorectal cancer: a systematic review and meta-analysis. Int J Surg 110:3795\u20133813. https:\/\/doi.org\/10.1097\/JS9.0000000000001239","journal-title":"Int J Surg"},{"key":"2253_CR29","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2024.1453482","volume":"15","author":"J Li","year":"2024","unstructured":"Li J, Wang Q-B, Liang Y-B et al (2024) Tumor-associated lymphatic vessel density is a reliable biomarker for prognosis of esophageal cancer after radical resection: a systemic review and meta-analysis. Front Immunol 15:1453482. https:\/\/doi.org\/10.3389\/fimmu.2024.1453482","journal-title":"Front Immunol"},{"key":"2253_CR30","doi-asserted-by":"publisher","first-page":"2393","DOI":"10.1111\/cas.13415","volume":"108","author":"A Carraro","year":"2017","unstructured":"Carraro A, Trevellin E, Fassan M et al (2017) Esophageal adenocarcinoma microenvironment: peritumoral adipose tissue effects associated with chemoresistance. Cancer Sci 108:2393\u20132404. https:\/\/doi.org\/10.1111\/cas.13415","journal-title":"Cancer Sci"},{"key":"2253_CR31","doi-asserted-by":"publisher","first-page":"3147","DOI":"10.1245\/s10434-025-16914-9","volume":"32","author":"X Huang","year":"2025","unstructured":"Huang X, Jian Z, You R et al (2025) Positive lymph node status before and after neoadjuvant chemoradiotherapy improves prediction of disease-free survival in esophageal squamous cell carcinoma patients. Ann Surg Oncol 32:3147\u20133156. https:\/\/doi.org\/10.1245\/s10434-025-16914-9","journal-title":"Ann Surg Oncol"},{"key":"2253_CR32","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1007\/s00330-018-5581-1","volume":"29","author":"X Tan","year":"2019","unstructured":"Tan X, Ma Z, Yan L et al (2019) Radiomics nomogram outperforms size criteria in discriminating lymph node metastasis in resectable esophageal squamous cell carcinoma. Eur Radiol 29:392\u2013400. https:\/\/doi.org\/10.1007\/s00330-018-5581-1","journal-title":"Eur Radiol"},{"key":"2253_CR33","doi-asserted-by":"publisher","first-page":"1355","DOI":"10.1016\/j.acra.2023.09.026","volume":"31","author":"H Zhou","year":"2024","unstructured":"Zhou H, Zhou J, Qin C et al (2024) Preoperative prediction of perineural invasion in oesophageal squamous cell carcinoma based on CT radiomics nomogram: a multicenter study. Acad Radiol 31:1355\u20131366. https:\/\/doi.org\/10.1016\/j.acra.2023.09.026","journal-title":"Acad Radiol"},{"key":"2253_CR34","doi-asserted-by":"publisher","first-page":"1518647","DOI":"10.3389\/fimmu.2025.1518647","volume":"16","author":"W Ma","year":"2025","unstructured":"Ma W, Liu R, Li X et al (2025) Significant association between systemic inflammation response index and prognosis in patients with urological malignancies. Front Immunol 16:1518647. https:\/\/doi.org\/10.3389\/fimmu.2025.1518647","journal-title":"Front Immunol"},{"key":"2253_CR35","doi-asserted-by":"publisher","first-page":"1311","DOI":"10.1158\/2326-6066.CIR-23-0642","volume":"12","author":"S Ghosh","year":"2024","unstructured":"Ghosh S, Zanoni I (2024) The dark knight: functional reprogramming of neutrophils in the pathogenesis of colitis-associated Cancer. Cancer Immunol Res 12:1311\u20131319. https:\/\/doi.org\/10.1158\/2326-6066.CIR-23-0642","journal-title":"Cancer Immunol Res"},{"key":"2253_CR36","doi-asserted-by":"publisher","first-page":"2039","DOI":"10.1038\/s41598-024-52418-4","volume":"14","author":"A Kasai","year":"2024","unstructured":"Kasai A, Miyoshi J, Sato Y et al (2024) A novel CT-based radiomics model for predicting response and prognosis of chemoradiotherapy in esophageal squamous cell carcinoma. Sci Rep 14:2039. https:\/\/doi.org\/10.1038\/s41598-024-52418-4","journal-title":"Sci Rep"},{"key":"2253_CR37","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1016\/j.intimp.2018.10.002","volume":"65","author":"Y Geng","year":"2018","unstructured":"Geng Y, Zhu D, Wu C et al (2018) A novel systemic inflammation response index (SIRI) for predicting postoperative survival of patients with esophageal squamous cell carcinoma. Int Immunopharmacol 65:503\u2013510. https:\/\/doi.org\/10.1016\/j.intimp.2018.10.002","journal-title":"Int Immunopharmacol"},{"key":"2253_CR38","doi-asserted-by":"publisher","DOI":"10.1016\/j.surg.2024.108965","volume":"178","author":"W Zhao","year":"2025","unstructured":"Zhao W, Li D, Liu X et al (2025) Nutritional and inflammatory status dynamics reflect preoperative treatment response and predict prognosis in locally advanced rectal cancer: a retrospective multi-institutional analysis. Surgery 178:108965. https:\/\/doi.org\/10.1016\/j.surg.2024.108965","journal-title":"Surgery"},{"key":"2253_CR39","doi-asserted-by":"publisher","first-page":"460","DOI":"10.1186\/s12885-024-12239-0","volume":"24","author":"Y Yang","year":"2024","unstructured":"Yang Y, Yi Y, Wang Z et al (2024) A combined nomogram based on radiomics and hematology to predict the pathological complete response of neoadjuvant immunochemotherapy in esophageal squamous cell carcinoma. BMC Cancer 24:460. https:\/\/doi.org\/10.1186\/s12885-024-12239-0","journal-title":"BMC Cancer"}],"container-title":["La radiologia medica"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11547-026-02253-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11547-026-02253-6","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11547-026-02253-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T17:31:00Z","timestamp":1791826260000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11547-026-02253-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,13]]},"references-count":39,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2026,9]]}},"alternative-id":["2253"],"URL":"https:\/\/doi.org\/10.1007\/s11547-026-02253-6","relation":{},"ISSN":["1826-6983"],"issn-type":[{"value":"1826-6983","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,13]]},"assertion":[{"value":"4 December 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 June 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 July 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors have not disclosed any competing interests.","order":1,"name":"Ethics","label":"Conflict of interest","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","label":"Consent for publication","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This retrospective clinical study obtained approval from the Ethics Committee of the First Affiliated Hospital of Henan Medical University (approval number: No.EC-023-239). All methods were performed in accordance with relevant guidelines and regulations.","order":3,"name":"Ethics","label":"Research involving Human Participants and\/or Animals","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The requirement for informed consent from patients was waived due to the retrospective nature of the study.","order":4,"name":"Ethics","label":"Informed consent","group":{"name":"EthicsHeading","label":"Declarations"}}]}}