{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T04:14:46Z","timestamp":1772165686698,"version":"3.50.1"},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,2,17]],"date-time":"2025-02-17T00:00:00Z","timestamp":1739750400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,2,17]],"date-time":"2025-02-17T00:00:00Z","timestamp":1739750400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82271993"],"award-info":[{"award-number":["82271993"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Imaging"],"DOI":"10.1186\/s12880-025-01585-5","type":"journal-article","created":{"date-parts":[[2025,2,17]],"date-time":"2025-02-17T16:52:32Z","timestamp":1739811152000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Radiomics model building from multiparametric MRI to predict Ki-67 expression in patients with primary central nervous system lymphomas: a multicenter study"],"prefix":"10.1186","volume":"25","author":[{"given":"Yelong","family":"Shen","sequence":"first","affiliation":[]},{"given":"Siyu","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Yanan","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Chao","family":"Cui","sequence":"additional","affiliation":[]},{"given":"Haiou","family":"Li","sequence":"additional","affiliation":[]},{"given":"Shuang","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Xuejun","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Xingzhi","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Chencui","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Ximing","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,2,17]]},"reference":[{"key":"1585_CR1","doi-asserted-by":"crossref","unstructured":"Farrall AL, Smith JR. Changing incidence and survival of primary Central Nervous System Lymphoma in Australia: a 33-Year National Population-based study. Cancers (Basel) 2021, 13(3).https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/33499081","DOI":"10.3390\/cancers13030403"},{"issue":"22","key":"1585_CR2","doi-asserted-by":"publisher","first-page":"4314","DOI":"10.1002\/cncr.30965","volume":"123","author":"CH Han","year":"2017","unstructured":"Han CH, Batchelor TT. Diagnosis and management of primary central nervous system lymphoma. Cancer. 2017;123(22):4314\u201324. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/28950405.","journal-title":"Cancer"},{"issue":"5","key":"1585_CR3","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1016\/j.blre.2018.03.003","volume":"32","author":"O Bairey","year":"2018","unstructured":"Bairey O, Siegal T. The possible role of maintenance treatment for primary central nervous system lymphoma. Blood Rev. 2018;32(5):378\u201386. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/29551465.","journal-title":"Blood Rev"},{"issue":"10","key":"1585_CR4","doi-asserted-by":"publisher","first-page":"6933","DOI":"10.1007\/s00330-022-08780-w","volume":"32","author":"S Bi","year":"2022","unstructured":"Bi S, Li J, Wang T, Man F, Zhang P, Hou F, Wang H, Hao D. Multi-parametric MRI-based radiomics signature for preoperative prediction of Ki-67 proliferation status in sinonasal malignancies: a two-centre study. Eur Radiol. 2022;32(10):6933\u201342. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/35687135.","journal-title":"Eur Radiol"},{"issue":"10","key":"1585_CR5","doi-asserted-by":"publisher","first-page":"674","DOI":"10.1111\/pin.13148","volume":"71","author":"AM Maeshima","year":"2021","unstructured":"Maeshima AM, Taniguchi H, Hori Y, Ida H, Hosoba R, Makita S, Fukuhara S, Munakata W, Suzuki T, Maruyama D, et al. Diagnostic utility and prognostic significance of the Ki-67 labeling index in diffuse large B-cell lymphoma transformed from follicular lymphoma: a study of 76 patients. Pathol Int. 2021;71(10):674\u201381. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/34339560.","journal-title":"Pathol Int"},{"issue":"2","key":"1585_CR6","doi-asserted-by":"publisher","first-page":"334","DOI":"10.1111\/his.12009","volume":"62","author":"N Vogt","year":"2013","unstructured":"Vogt N, Klapper W. Variability in morphology and cell proliferation in sequential biopsies of mantle cell lymphoma at diagnosis and relapse: clinical correlation and insights into disease progression. Histopathology. 2013;62(2):334\u201342. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/23240716.","journal-title":"Histopathology"},{"issue":"16","key":"1585_CR7","doi-asserted-by":"publisher","first-page":"1816","DOI":"10.1200\/JCO.22.00069","volume":"40","author":"F Andre","year":"2022","unstructured":"Andre F, Ismaila N, Allison KH, Barlow WE, Collyar DE, Damodaran S, Henry NL, Jhaveri K, Kalinsky K, Kuderer NM, et al. Biomarkers for adjuvant endocrine and chemotherapy in early-stage breast Cancer: ASCO Guideline Update. J Clin Oncol. 2022;40(16):1816\u201337. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/35439025.","journal-title":"J Clin Oncol"},{"issue":"4","key":"1585_CR8","doi-asserted-by":"publisher","first-page":"1863","DOI":"10.1007\/s00330-020-07296-5","volume":"31","author":"F Fu","year":"2021","unstructured":"Fu F, Sun X, Li Y, Liu Y, Shan Y, Ji N, Wang X, Lu J, Sun S. Dynamic contrast-enhanced magnetic resonance imaging biomarkers predict chemotherapeutic responses and survival in primary central-nervous-system lymphoma. Eur Radiol. 2021;31(4):1863\u201371. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/32997181.","journal-title":"Eur Radiol"},{"issue":"2","key":"1585_CR9","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/s11060-004-3390-7","volume":"72","author":"W Kuker","year":"2005","unstructured":"Kuker W, Nagele T, Korfel A, Heckl S, Thiel E, Bamberg M, Weller M, Herrlinger U. Primary central nervous system lymphomas (PCNSL): MRI features at presentation in 100 patients. J Neurooncol. 2005;72(2):169\u201377. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/15925998.","journal-title":"J Neurooncol"},{"issue":"4","key":"1585_CR10","doi-asserted-by":"publisher","first-page":"1146","DOI":"10.1158\/1078-0432.CCR-11-0625","volume":"18","author":"MJ Wieduwilt","year":"2012","unstructured":"Wieduwilt MJ, Valles F, Issa S, Behler CM, Hwang J, McDermott M, Treseler P, O\u2019Brien J, Shuman MA, Cha S, et al. Immunochemotherapy with intensive consolidation for primary CNS lymphoma: a pilot study and prognostic assessment by diffusion-weighted MRI. Clin Cancer Res. 2012;18(4):1146\u201355. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/22228634.","journal-title":"Clin Cancer Res"},{"issue":"1","key":"1585_CR11","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1186\/s13045-022-01356-7","volume":"15","author":"T Chen","year":"2022","unstructured":"Chen T, Liu Y, Wang Y, Chang Q, Wu J, Wang Z, Geng D, Yu JT, Li Y, Li XQ, et al. Evidence-based expert consensus on the management of primary central nervous system lymphoma in China. J Hematol Oncol. 2022;15(1):136. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/36176002.","journal-title":"J Hematol Oncol"},{"issue":"7","key":"1585_CR12","doi-asserted-by":"publisher","first-page":"1056","DOI":"10.1093\/neuonc\/noab020","volume":"23","author":"RF Barajas","year":"2021","unstructured":"Barajas RF, Politi LS, Anzalone N, Schoder H, Fox CP, Boxerman JL, Kaufmann TJ, Quarles CC, Ellingson BM, Auer D, et al. Consensus recommendations for MRI and PET imaging of primary central nervous system lymphoma: guideline statement from the International Primary CNS Lymphoma Collaborative Group (IPCG). Neuro Oncol. 2021;23(7):1056\u201371. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/33560416.","journal-title":"Neuro Oncol"},{"issue":"9","key":"1585_CR13","doi-asserted-by":"publisher","first-page":"1221","DOI":"10.1177\/0284185119896519","volume":"61","author":"HW Zhang","year":"2020","unstructured":"Zhang HW, Lyu GW, He WJ, Lei Y, Lin F, Feng YN, Wang MZ. Differential diagnosis of central lymphoma and high-grade glioma: dynamic contrast-enhanced histogram. Acta Radiol. 2020;61(9):1221\u20137. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/31902220.","journal-title":"Acta Radiol"},{"issue":"11","key":"1585_CR14","doi-asserted-by":"publisher","first-page":"e841","DOI":"10.1016\/S2589-7500(22)00144-3","volume":"4","author":"P Lohmann","year":"2022","unstructured":"Lohmann P, Franceschi E, Vollmuth P, Dhermain F, Weller M, Preusser M, Smits M, Galldiks N. Radiomics in neuro-oncological clinical trials. Lancet Digit Health. 2022;4(11):e841\u20139. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/36182633.","journal-title":"Lancet Digit Health"},{"issue":"2","key":"1585_CR15","doi-asserted-by":"publisher","first-page":"560","DOI":"10.1016\/j.ultrasmedbio.2022.10.009","volume":"49","author":"L Zhang","year":"2023","unstructured":"Zhang L, Sun K, Shi L, Qiu J, Wang X, Wang S. Ultrasound Image-based deep features and Radiomics for the discrimination of small Fat-Poor Angiomyolipoma and Small Renal Cell Carcinoma. Ultrasound Med Biol. 2023;49(2):560\u20138. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/36376157.","journal-title":"Ultrasound Med Biol"},{"key":"1585_CR16","doi-asserted-by":"publisher","first-page":"1101810","DOI":"10.3389\/fphys.2023.1101810","volume":"14","author":"P Hu","year":"2023","unstructured":"Hu P, Gao Y, Zhang Y, Sun K. Ultrasound image-based deep learning to differentiate tubal-ovarian abscess from ovarian endometriosis cyst. Front Physiol. 2023;14:1101810. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/36824470.","journal-title":"Front Physiol"},{"issue":"1","key":"1585_CR17","doi-asserted-by":"publisher","first-page":"764","DOI":"10.1038\/s41467-019-08718-9","volume":"10","author":"H Lu","year":"2019","unstructured":"Lu H, Arshad M, Thornton A, Avesani G, Cunnea P, Curry E, Kanavati F, Liang J, Nixon K, Williams ST, et al. A mathematical-descriptor of tumor-mesoscopic-structure from computed-tomography images annotates prognostic- and molecular-phenotypes of epithelial ovarian cancer. Nat Commun. 2019;10(1):764. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/30770825.","journal-title":"Nat Commun"},{"issue":"9","key":"1585_CR18","doi-asserted-by":"publisher","first-page":"1180","DOI":"10.1016\/S1470-2045(18)30413-3","volume":"19","author":"R Sun","year":"2018","unstructured":"Sun R, Limkin EJ, Vakalopoulou M, Dercle L, Champiat S, Han SR, Verlingue L, Brandao D, Lancia A, Ammari S, et al. A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study. Lancet Oncol. 2018;19(9):1180\u201391. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/30120041.","journal-title":"Lancet Oncol"},{"issue":"3","key":"1585_CR19","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1136\/gutjnl-2018-316407","volume":"69","author":"A Dohan","year":"2020","unstructured":"Dohan A, Gallix B, Guiu B, Le Malicot K, Reinhold C, Soyer P, Bennouna J, Ghiringhelli F, Barbier E, Boige V, et al. Early evaluation using a radiomic signature of unresectable hepatic metastases to predict outcome in patients with colorectal cancer treated with FOLFIRI and bevacizumab. Gut. 2020;69(3):531\u20139. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/31101691.","journal-title":"Gut"},{"issue":"1","key":"1585_CR20","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1007\/s11060-015-1893-z","volume":"125","author":"AA Thomas","year":"2015","unstructured":"Thomas AA, Arevalo-Perez J, Kaley T, Lyo J, Peck KK, Shi W, Zhang Z, Young RJ. Dynamic contrast enhanced T1 MRI perfusion differentiates pseudoprogression from recurrent glioblastoma. J Neurooncol. 2015;125(1):183\u201390. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/26275367.","journal-title":"J Neurooncol"},{"issue":"5","key":"1585_CR21","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1093\/neuonc\/nov268","volume":"18","author":"M Zhang","year":"2016","unstructured":"Zhang M, Gulotta B, Thomas A, Kaley T, Karimi S, Gavrilovic I, Woo KM, Zhang Z, Arevalo-Perez J, Holodny AI, et al. Large-volume low apparent diffusion coefficient lesions predict poor survival in bevacizumab-treated glioblastoma patients. Neuro Oncol. 2016;18(5):735\u201343. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/26538618.","journal-title":"Neuro Oncol"},{"issue":"5","key":"1585_CR22","first-page":"5505","volume":"14","author":"J Liu","year":"2017","unstructured":"Liu J, Wang Y, Liu Y, Liu Z, Cui Q, Ji N, Sun S, Wang B, Wang Y, Sun X, et al. Immunohistochemical profile and prognostic significance in primary central nervous system lymphoma: analysis of 89 cases. Oncol Lett. 2017;14(5):5505\u201312. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/29113178.","journal-title":"Oncol Lett"},{"key":"1585_CR23","doi-asserted-by":"publisher","first-page":"769895","DOI":"10.3389\/fonc.2022.769895","volume":"12","author":"Z Qi","year":"2022","unstructured":"Qi Z, Duan L, Yuan G, Liu J, Li J, Li G, Yu Y, Xu Y, Ma S, Pan Y, et al. Clinical impact of the histopathological index and neuroimaging features status in primary central nervous system diffuse large B-Cell lymphoma: a single-center retrospective analysis of 51 cases. Front Oncol. 2022;12:769895. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/35875161.","journal-title":"Front Oncol"},{"issue":"11","key":"1585_CR24","doi-asserted-by":"publisher","first-page":"6080","DOI":"10.1007\/s00330-019-06193-w","volume":"29","author":"X Jin","year":"2019","unstructured":"Jin X, Zheng X, Chen D, Jin J, Zhu G, Deng X, Han C, Gong C, Zhou Y, Liu C, et al. Prediction of response after chemoradiation for esophageal cancer using a combination of dosimetry and CT radiomics. Eur Radiol. 2019;29(11):6080\u20138. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/31028447.","journal-title":"Eur Radiol"},{"key":"1585_CR25","doi-asserted-by":"publisher","first-page":"i6","DOI":"10.1136\/bmj.i6","volume":"352","author":"AJ Vickers","year":"2016","unstructured":"Vickers AJ, Van Calster B, Steyerberg EW. Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests. BMJ. 2016;352:i6. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/26810254.","journal-title":"BMJ"},{"issue":"9","key":"1585_CR26","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1182\/blood.2020008377","volume":"140","author":"LR Schaff","year":"2022","unstructured":"Schaff LR, Grommes C. Primary central nervous system lymphoma. Blood. 2022;140(9):971\u20139. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/34699590.","journal-title":"Blood"},{"issue":"3","key":"1585_CR27","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1007\/s10072-018-3669-7","volume":"40","author":"G Cheng","year":"2019","unstructured":"Cheng G, Zhang J. Imaging features (CT, MRI, MRS, and PET\/CT) of primary central nervous system lymphoma in immunocompetent patients. Neurol Sci. 2019;40(3):535\u201342. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/30580380.","journal-title":"Neurol Sci"},{"issue":"1","key":"1585_CR28","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1186\/s12883-019-1317-3","volume":"19","author":"H Zhao","year":"2019","unstructured":"Zhao H, Ma M, Zhang L, Zheng G, Lv H, Liu J, Li X, Song B, Zhang G. Diagnosis of central nervous system lymphoma via cerebrospinal fluid cytology: a case report. BMC Neurol. 2019;19(1):90. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/31064334.","journal-title":"BMC Neurol"},{"issue":"2","key":"1585_CR29","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1007\/s11060-018-2960-z","volume":"140","author":"V Hatzoglou","year":"2018","unstructured":"Hatzoglou V, Oh JH, Buck O, Lin X, Lee M, Shukla-Dave A, Young RJ, Peck KK, Vachha B, Holodny AI, et al. Pretreatment dynamic contrast-enhanced MRI biomarkers correlate with progression-free survival in primary central nervous system lymphoma. J Neurooncol. 2018;140(2):351\u20138. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/30073640.","journal-title":"J Neurooncol"},{"issue":"21","key":"1585_CR30","doi-asserted-by":"publisher","first-page":"2410","DOI":"10.1200\/JCO.2017.72.7602","volume":"35","author":"C Grommes","year":"2017","unstructured":"Grommes C, DeAngelis LM. Primary CNS Lymphoma. J Clin Oncol. 2017;35(21):2410\u20138. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/28640701.","journal-title":"J Clin Oncol"},{"issue":"11","key":"1585_CR31","doi-asserted-by":"publisher","first-page":"1571","DOI":"10.6004\/jnccn.2020.7667","volume":"18","author":"M Holdhoff","year":"2020","unstructured":"Holdhoff M, Mrugala MM, Grommes C, Kaley TJ, Swinnen LJ, Perez-Heydrich C, Nayak L. Challenges in the treatment of newly diagnosed and recurrent primary Central Nervous System Lymphoma. J Natl Compr Canc Netw. 2020;18(11):1571\u20138. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/33152700.","journal-title":"J Natl Compr Canc Netw"},{"issue":"12","key":"1585_CR32","doi-asserted-by":"publisher","first-page":"9143","DOI":"10.1002\/jcp.29790","volume":"235","author":"H Yang","year":"2020","unstructured":"Yang H, Xun Y, Yang A, Liu F, You H. Advances and challenges in the treatment of primary central nervous system lymphoma. J Cell Physiol. 2020;235(12):9143\u201365. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/32420657.","journal-title":"J Cell Physiol"},{"issue":"6","key":"1585_CR33","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1038\/s41379-022-01055-1","volume":"35","author":"C Luchini","year":"2022","unstructured":"Luchini C, Pantanowitz L, Adsay V, Asa SL, Antonini P, Girolami I, Veronese N, Nottegar A, Cingarlini S, Landoni L, et al. Ki-67 assessment of pancreatic neuroendocrine neoplasms: systematic review and meta-analysis of manual vs. digital pathology scoring. Mod Pathol. 2022;35(6):712\u201320. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/35249100.","journal-title":"Mod Pathol"},{"issue":"11","key":"1585_CR34","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1038\/s41574-021-00550-w","volume":"17","author":"G Raverot","year":"2021","unstructured":"Raverot G, Ilie MD, Lasolle H, Amodru V, Trouillas J, Castinetti F, Brue T. Aggressive pituitary tumours and pituitary carcinomas. Nat Rev Endocrinol. 2021;17(11):671\u201384. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/34493834.","journal-title":"Nat Rev Endocrinol"},{"issue":"2","key":"1585_CR35","doi-asserted-by":"publisher","first-page":"e479","DOI":"10.1097\/SLA.0000000000004144","volume":"275","author":"C Lenschow","year":"2022","unstructured":"Lenschow C, Schr\u00e4gle S, Kircher S, Lorenz K, Machens A, Dralle H, Riss P, Scheuba C, Pfestroff A, Spitzweg C, et al. Clinical presentation, treatment, and outcome of parathyroid carcinoma. Ann Surg. 2022;275(2):e479\u201387.","journal-title":"Ann Surg"},{"issue":"5","key":"1585_CR36","doi-asserted-by":"publisher","first-page":"828","DOI":"10.1093\/annonc\/mdw036","volume":"27","author":"ES Lee","year":"2016","unstructured":"Lee ES, Jung SY, Kim JY, Kim JJ, Yoo TK, Kim YG, Lee KS, Lee ES, Kim EK, Min JW, et al. Identifying the potential long-term survivors among breast cancer patients with distant metastasis. Ann Oncol. 2016;27(5):828\u201333.","journal-title":"Ann Oncol"},{"issue":"12","key":"1585_CR37","doi-asserted-by":"publisher","first-page":"1747","DOI":"10.1038\/s41416-020-0815-9","volume":"122","author":"H Mukai","year":"2020","unstructured":"Mukai H, Yamaguchi T, Takahashi M, Hozumi Y, Fujisawa T, Ohsumi S, Akabane H, Nishimura R, Takashima T, Park Y, et al. Ki-67 response-guided preoperative chemotherapy for HER2-positive breast cancer: results of a randomised phase 2 study. Br J Cancer. 2020;122(12):1747\u201353. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/32238920.","journal-title":"Br J Cancer"},{"issue":"3","key":"1585_CR38","doi-asserted-by":"publisher","first-page":"485","DOI":"10.3174\/ajnr.A5023","volume":"38","author":"X Lin","year":"2017","unstructured":"Lin X, Lee M, Buck O, Woo KM, Zhang Z, Hatzoglou V, Omuro A, Arevalo-Perez J, Thomas AA, Huse J, et al. Diagnostic accuracy of T1-Weighted dynamic contrast-Enhanced-MRI and DWI-ADC for differentiation of Glioblastoma and Primary CNS Lymphoma. AJNR Am J Neuroradiol. 2017;38(3):485\u201391. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/27932505.","journal-title":"AJNR Am J Neuroradiol"},{"issue":"12","key":"1585_CR39","doi-asserted-by":"publisher","first-page":"2370","DOI":"10.3174\/ajnr.A4892","volume":"37","author":"JH Harreld","year":"2016","unstructured":"Harreld JH, Hwang SN, Qaddoumi I, Tatevossian RG, Li X, Dalton J, Haupfear K, Li Y, Ellison DW. Relative ADC and location differ between posterior Fossa Pilocytic Astrocytomas with and without gangliocytic differentiation. AJNR Am J Neuroradiol. 2016;37(12):2370\u20135. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/27469209.","journal-title":"AJNR Am J Neuroradiol"},{"key":"1585_CR40","doi-asserted-by":"publisher","first-page":"942943","DOI":"10.3389\/fonc.2022.942943","volume":"12","author":"H Chen","year":"2022","unstructured":"Chen H, Li W, Wan C, Zhang J. Correlation of dynamic contrast-enhanced MRI and diffusion-weighted MR imaging with prognostic factors and subtypes of breast cancers. Front Oncol. 2022;12:942943. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/35992872.","journal-title":"Front Oncol"},{"issue":"2","key":"1585_CR41","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1002\/jmri.25555","volume":"46","author":"XX Hu","year":"2017","unstructured":"Hu XX, Yang ZX, Liang HY, Ding Y, Grimm R, Fu CX, Liu H, Yan X, Ji Y, Zeng MS, et al. Whole-tumor MRI histogram analyses of hepatocellular carcinoma: correlations with Ki-67 labeling index. J Magn Reson Imaging. 2017;46(2):383\u201392. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/27862582.","journal-title":"J Magn Reson Imaging"},{"issue":"8","key":"1585_CR42","doi-asserted-by":"publisher","first-page":"e0161386","DOI":"10.1371\/journal.pone.0161386","volume":"11","author":"S Schob","year":"2016","unstructured":"Schob S, Meyer J, Gawlitza M, Frydrychowicz C, Muller W, Preuss M, Bure L, Quaschling U, Hoffmann KT, Surov A. Diffusion-weighted MRI reflects proliferative activity in primary CNS lymphoma. PLoS ONE. 2016;11(8):e0161386. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/27571268.","journal-title":"PLoS ONE"},{"issue":"1","key":"1585_CR43","doi-asserted-by":"publisher","first-page":"1589","DOI":"10.1186\/s12885-024-13339-7","volume":"24","author":"F Schmitz","year":"2024","unstructured":"Schmitz F, Voigtlander H, Strauss D, Schlemmer HP, Kauczor HU, Jang H, Sedaghat S. Differentiating low- and high-proliferative soft tissue sarcomas using conventional imaging features and radiomics on MRI. BMC Cancer. 2024;24(1):1589. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/39736582.","journal-title":"BMC Cancer"},{"issue":"1","key":"1585_CR44","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1159\/000512028","volume":"10","author":"M Chen","year":"2021","unstructured":"Chen M, Cao J, Hu J, Topatana W, Li S, Juengpanich S, Lin J, Tong C, Shen J, Zhang B, et al. Clinical-radiomic analysis for pretreatment prediction of Objective Response to First Transarterial Chemoembolization in Hepatocellular Carcinoma. Liver Cancer. 2021;10(1):38\u201351. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/33708638.","journal-title":"Liver Cancer"},{"issue":"2","key":"1585_CR45","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1038\/s41571-021-00560-7","volume":"19","author":"K Bera","year":"2022","unstructured":"Bera K, Braman N, Gupta A, Velcheti V, Madabhushi A. Predicting cancer outcomes with radiomics and artificial intelligence in radiology. Nat Rev Clin Oncol. 2022;19(2):132\u201346. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/34663898.","journal-title":"Nat Rev Clin Oncol"},{"issue":"3","key":"1585_CR46","doi-asserted-by":"publisher","first-page":"1151","DOI":"10.1093\/brain\/awab340","volume":"145","author":"G Li","year":"2022","unstructured":"Li G, Li L, Li Y, Qian Z, Wu F, He Y, Jiang H, Li R, Wang D, Zhai Y, et al. An MRI radiomics approach to predict survival and tumour-infiltrating macrophages in gliomas. Brain. 2022;145(3):1151\u201361. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/35136934.","journal-title":"Brain"},{"issue":"8","key":"1585_CR47","doi-asserted-by":"publisher","first-page":"3165","DOI":"10.1016\/j.acra.2024.01.017","volume":"31","author":"Y Wang","year":"2024","unstructured":"Wang Y, Liu F, Wu S, Sun K, Gu H, Wang X. CTA-Based Radiomics and Area Change Rate Predict Infrarenal Abdominal aortic aneurysms patients events: a Multicenter Study. Acad Radiol. 2024;31(8):3165\u201376. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/38307789.","journal-title":"Acad Radiol"},{"issue":"1","key":"1585_CR48","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1186\/s13244-024-01809-2","volume":"15","author":"K Sun","year":"2024","unstructured":"Sun K, Wang Y, Shi R, Wu S, Wang X. An ensemble machine learning model assists in the diagnosis of gastric ectopic pancreas and gastric stromal tumors. Insights Imaging. 2024;15(1):225. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/39320559.","journal-title":"Insights Imaging"},{"issue":"4","key":"1585_CR49","doi-asserted-by":"publisher","first-page":"e02061","DOI":"10.1002\/brb3.2061","volume":"11","author":"D Gomes Candido Reis","year":"2021","unstructured":"Gomes Candido Reis D, Levy D, Lage L, Culler HF, Rocha V, Bydlowski SP, Nogueira Zerbini MC, Pereira J. New genetic prognostic biomarkers in primary central nervous system lymphoma (PCNSL). Brain Behav. 2021;11(4):e02061. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/33591648.","journal-title":"Brain Behav"},{"key":"1585_CR50","doi-asserted-by":"crossref","unstructured":"Zhao E, Yang YF, Bai M, Zhang H, Yang YY, Song X, Lou S, Yu Y, Yang C. MRI radiomics-based interpretable model and nomogram for preoperative prediction of Ki-67 expression status in primary central nervous system lymphoma. Front Med (Lausanne) 2024, 111345162https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/38994341","DOI":"10.3389\/fmed.2024.1345162"},{"issue":"12","key":"1585_CR51","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1038\/nrclinonc.2017.141","volume":"14","author":"P Lambin","year":"2017","unstructured":"Lambin P, Leijenaar RTH, Deist TM, Peerlings J, de Jong EEC, van Timmeren J, Sanduleanu S, Larue R, Even AJG, Jochems A, et al. Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol. 2017;14(12):749\u201362. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/28975929.","journal-title":"Nat Rev Clin Oncol"},{"issue":"11","key":"1585_CR52","doi-asserted-by":"publisher","first-page":"1599","DOI":"10.1016\/j.acra.2020.06.016","volume":"28","author":"S Gore","year":"2021","unstructured":"Gore S, Chougule T, Jagtap J, Saini J, Ingalhalikar M. A review of Radiomics and Deep Predictive modeling in Glioma characterization. Acad Radiol. 2021;28(11):1599\u2013621. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/32660755.","journal-title":"Acad Radiol"},{"issue":"1","key":"1585_CR53","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1002\/jmri.27344","volume":"53","author":"W Xia","year":"2021","unstructured":"Xia W, Hu B, Li H, Geng C, Wu Q, Yang L, Yin B, Gao X, Li Y, Geng D. Multiparametric-MRI-Based Radiomics Model for differentiating primary Central Nervous System Lymphoma from Glioblastoma: Development and Cross-vendor Validation. J Magn Reson Imaging. 2021;53(1):242\u201350. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/32864825.","journal-title":"J Magn Reson Imaging"},{"issue":"11","key":"1585_CR54","doi-asserted-by":"publisher","first-page":"8703","DOI":"10.1007\/s00330-021-07845-6","volume":"31","author":"G Bathla","year":"2021","unstructured":"Bathla G, Priya S, Liu Y, Ward C, Le NH, Soni N, Maheshwarappa RP, Monga V, Zhang H, Sonka M. Radiomics-based differentiation between glioblastoma and primary central nervous system lymphoma: a comparison of diagnostic performance across different MRI sequences and machine learning techniques. Eur Radiol. 2021;31(11):8703\u201313. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/33890149.","journal-title":"Eur Radiol"},{"issue":"9","key":"1585_CR55","doi-asserted-by":"publisher","first-page":"1251","DOI":"10.1093\/neuonc\/noy021","volume":"20","author":"D Kang","year":"2018","unstructured":"Kang D, Park JE, Kim YH, Kim JH, Oh JY, Kim J, Kim Y, Kim ST, Kim HS. Diffusion radiomics as a diagnostic model for atypical manifestation of primary central nervous system lymphoma: development and multicenter external validation. Neuro Oncol. 2018;20(9):1251\u201361. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/29438500.","journal-title":"Neuro Oncol"},{"issue":"7","key":"1585_CR56","doi-asserted-by":"publisher","first-page":"912","DOI":"10.1016\/j.annonc.2020.04.003","volume":"31","author":"D Dong","year":"2020","unstructured":"Dong D, Fang MJ, Tang L, Shan XH, Gao JB, Giganti F, Wang RP, Chen X, Wang XX, Palumbo D, et al. Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study. Ann Oncol. 2020;31(7):912\u201320. https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/32304748.","journal-title":"Ann Oncol"}],"container-title":["BMC Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-025-01585-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12880-025-01585-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-025-01585-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,17]],"date-time":"2025-02-17T16:52:35Z","timestamp":1739811155000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedimaging.biomedcentral.com\/articles\/10.1186\/s12880-025-01585-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,17]]},"references-count":56,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["1585"],"URL":"https:\/\/doi.org\/10.1186\/s12880-025-01585-5","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-3770638\/v1","asserted-by":"object"}]},"ISSN":["1471-2342"],"issn-type":[{"value":"1471-2342","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,17]]},"assertion":[{"value":"18 December 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 February 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 February 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This retrospective study was approved by the Ethics Committee of the Shandong Provincial Hospital and written informed consent for the participants over 16 years of age was discarded because of the retrospective nature of this study. For participants less than 16 years of age, written informed consent has been obtained from their parents\/guardians after a brief description of the purpose and objectives of the study has been given to them. We confirmed that the study was carried out in accordance with relevant guidelines and regulations of Helsinki Declaration.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Not applicable.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Clinical trial number"}}],"article-number":"54"}}