{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T15:55:10Z","timestamp":1772639710492,"version":"3.50.1"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T00:00:00Z","timestamp":1770076800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T00:00:00Z","timestamp":1772582400000},"content-version":"vor","delay-in-days":29,"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":"crossref","award":["NO.82001764"],"award-info":[{"award-number":["NO.82001764"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Peking University People\u2019s Hospital Scientific Research Development Funds","award":["RDY2020-08, RS2021-10"],"award-info":[{"award-number":["RDY2020-08, RS2021-10"]}]},{"name":"Beijing United Imaging Research Institute of Intelligent Imaging Foundation","award":["CRIBJQY202105"],"award-info":[{"award-number":["CRIBJQY202105"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Imaging"],"DOI":"10.1186\/s12880-026-02200-x","type":"journal-article","created":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T12:56:02Z","timestamp":1770123362000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Predicting neoadjuvant chemotherapy response in osteosarcoma using T2-based MRI delta-radiomics: a retrospective study"],"prefix":"10.1186","volume":"26","author":[{"given":"Ping","family":"Yin","sequence":"first","affiliation":[]},{"given":"Fei","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"Ying","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Simon","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Lin","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Hao","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Pengfei","family":"Geng","sequence":"additional","affiliation":[]},{"given":"Jialiang","family":"Ren","sequence":"additional","affiliation":[]},{"given":"Binsheng","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Lawrence H.","family":"Schwartz","sequence":"additional","affiliation":[]},{"given":"Nan","family":"Hong","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,2,3]]},"reference":[{"issue":"18","key":"2200_CR1","doi-asserted-by":"publisher","first-page":"e70248","DOI":"10.1002\/cam4.70248","volume":"13","author":"K Low","year":"2024","unstructured":"Low K, Foulkes P, Hills F, Roberts HC, Stordal B. The efficacy of gemcitabine and docetaxel chemotherapy for the treatment of relapsed and refractory osteosarcoma: A systematic review and pre-clinical study. Cancer Med. 2024;13(18):e70248. https:\/\/doi.org\/10.1002\/cam4.70248.","journal-title":"Cancer Med"},{"issue":"10","key":"2200_CR2","doi-asserted-by":"publisher","first-page":"1396","DOI":"10.1016\/S1470-2045(16)30214-5","volume":"17","author":"NM Marina","year":"2016","unstructured":"Marina NM, Smeland S, Bielack SS, et al. Comparison of MAPIE versus MAP in patients with a poor response to preoperative chemotherapy for newly diagnosed high-grade osteosarcoma (EURAMOS\u20101): an open\u2010label, international, randomised controlled trial. Lancet Oncol. 2016;17(10):1396\u2013408. https:\/\/doi.org\/10.1016\/S1470-2045(16)30214-5.","journal-title":"Lancet Oncol"},{"issue":"1","key":"2200_CR3","doi-asserted-by":"publisher","first-page":"172","DOI":"10.3390\/cells10010172","volume":"10","author":"A Smrke","year":"2021","unstructured":"Smrke A, Anderson PM, Gulia A, Gennatas S, Huang PH, Jones RL. Future directions in the treatment of osteosarcoma. Cells. 2021;10(1):172. https:\/\/doi.org\/10.3390\/cells10010172.","journal-title":"Cells"},{"key":"2200_CR4","doi-asserted-by":"publisher","first-page":"151654","DOI":"10.1016\/j.anndiagpath.2020.151654","volume":"49","author":"F Jafari","year":"2020","unstructured":"Jafari F, Javdansirat S, Sanaie S, Naseri A, Shamekh A, Rostamzadeh D, Dolati S. Osteosarcoma: A comprehensive review of management and treatment strategies. Ann Diagn Pathol. 2020;49:151654. https:\/\/doi.org\/10.1016\/j.anndiagpath.2020.151654.","journal-title":"Ann Diagn Pathol"},{"issue":"12","key":"2200_CR5","doi-asserted-by":"publisher","first-page":"1520","DOI":"10.1016\/j.annonc.2021.08.1995","volume":"32","author":"SJ Strauss","year":"2021","unstructured":"Strauss SJ, Frezza AM, Abecassis N, et al. Bone sarcomas: ESMO-EURACAN-GENTURIS-ERN PaedCan clinical practice guideline for diagnosis, treatment and follow-up. Ann Oncol. 2021;32(12):1520\u201336. https:\/\/doi.org\/10.1016\/j.annonc.2021.08.1995.","journal-title":"Ann Oncol"},{"issue":"Suppl 4","key":"2200_CR6","doi-asserted-by":"publisher","first-page":"iv79","DOI":"10.1093\/annonc\/mdy310","volume":"29","author":"PG Casali","year":"2018","unstructured":"Casali PG, Bielack S, Abecassis N, et al. Bone sarcomas: ESMO-PaedCan\u2010EURACAN clinical practice guidelines for diagnosis, treatment and follow\u2010up. Ann Oncol. 2018;29(Suppl 4):iv79\u201395. https:\/\/doi.org\/10.1093\/annonc\/mdy310.","journal-title":"Ann Oncol"},{"issue":"10","key":"2200_CR7","doi-asserted-by":"publisher","first-page":"1493","DOI":"10.1093\/jjco\/hyab120","volume":"51","author":"H Hiraga","year":"2021","unstructured":"Hiraga H, Ozaki T. Adjuvant and neoadjuvant chemotherapy for osteosarcoma: JCOG bone and soft tissue tumor study group. Jpn J Clin Oncol. 2021;51(10):1493\u20137. https:\/\/doi.org\/10.1093\/jjco\/hyab120.","journal-title":"Jpn J Clin Oncol"},{"issue":"2","key":"2200_CR8","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1016\/j.ejca.2008.10.026","volume":"45","author":"EA Eisenhauer","year":"2009","unstructured":"Eisenhauer EA, Therasse P, Bogaerts J, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer. 2009;45(2):228\u201347. https:\/\/doi.org\/10.1016\/j.ejca.2008.10.026.","journal-title":"Eur J Cancer"},{"issue":"1","key":"2200_CR9","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1186\/s40644-019-0283-8","volume":"20","author":"P Lin","year":"2020","unstructured":"Lin P, Yang PF, Chen S, et al. A Delta-radiomics model for preoperative evaluation of neoadjuvant chemotherapy response in high-grade osteosarcoma. Cancer Imaging. 2020;20(1):7. https:\/\/doi.org\/10.1186\/s40644-019-0283-8.","journal-title":"Cancer Imaging"},{"issue":"4","key":"2200_CR10","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1016\/j.ejca.2011.11.036","volume":"48","author":"P Lambin","year":"2012","unstructured":"Lambin P, Rios-Velazquez E, Leijenaar R, et al. Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer. 2012;48(4):441\u20136. https:\/\/doi.org\/10.1016\/j.ejca.2011.11.036.","journal-title":"Eur J Cancer"},{"issue":"3","key":"2200_CR11","doi-asserted-by":"publisher","first-page":"1526","DOI":"10.1007\/s00330-020-07221-w","volume":"31","author":"J Zhong","year":"2021","unstructured":"Zhong J, Hu Y, Si L, et al. A systematic review of radiomics in osteosarcoma: utilizing radiomics quality score as a tool promoting clinical translation. Eur Radiol. 2021;31(3):1526\u201335. https:\/\/doi.org\/10.1007\/s00330-020-07221-w.","journal-title":"Eur Radiol"},{"key":"2200_CR12","doi-asserted-by":"publisher","unstructured":"Zhang Y, Zhi L, Li J, Wang M, Chen G, Yin S. Magnetic resonance imaging radiomics predicts histological response to neoadjuvant chemotherapy in localized high-grade osteosarcoma of the extremities. Acad Radiol. 2024 Jul 29;S1076-6332(24)00450-1. https:\/\/doi.org\/10.1016\/j.acra.2024.07.015.","DOI":"10.1016\/j.acra.2024.07.015"},{"key":"2200_CR13","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/j.radonc.2021.08.023","volume":"164","author":"JC Peeken","year":"2021","unstructured":"Peeken JC, Asadpour R, Specht K, et al. MRI-based delta-radiomics predicts pathologic complete response in high-grade soft-tissue sarcoma patients treated with neoadjuvant therapy. Radiother Oncol. 2021;164:73\u201382. https:\/\/doi.org\/10.1016\/j.radonc.2021.08.023.","journal-title":"Radiother Oncol"},{"issue":"2","key":"2200_CR14","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1002\/jmri.26589","volume":"50","author":"A Cromb\u00e9","year":"2019","unstructured":"Cromb\u00e9 A, P\u00e9rier C, Kind M, et al. T2 -based MRI Delta-radiomics improve response prediction in soft-tissue sarcomas treated by neoadjuvant chemotherapy. J Magn Reson Imaging. 2019;50(2):497\u2013510. https:\/\/doi.org\/10.1002\/jmri.26589.","journal-title":"J Magn Reson Imaging"},{"issue":"4","key":"2200_CR15","doi-asserted-by":"publisher","first-page":"776","DOI":"10.1007\/s11307-023-01803-y","volume":"25","author":"BKK Fields","year":"2023","unstructured":"Fields BKK, Demirjian NL, Cen SY, et al. Predicting soft tissue sarcoma response to neoadjuvant chemotherapy using an MRI-Based Delta-Radiomics approach. Mol Imaging Biol. 2023;25(4):776\u201387. https:\/\/doi.org\/10.1007\/s11307-023-01803-y.","journal-title":"Mol Imaging Biol"},{"issue":"3","key":"2200_CR16","doi-asserted-by":"publisher","first-page":"553","DOI":"10.1007\/s00256-022-04098-2","volume":"52","author":"LM White","year":"2023","unstructured":"White LM, Atinga A, Naraghi AM, et al. T2-weighted MRI radiomics in high-grade intramedullary osteosarcoma: predictive accuracy in assessing histologic response to chemotherapy, overall survival, and disease-free survival. Skeletal Radiol. 2023;52(3):553\u201364. https:\/\/doi.org\/10.1007\/s00256-022-04098-2.","journal-title":"Skeletal Radiol"},{"issue":"6","key":"2200_CR17","doi-asserted-by":"publisher","first-page":"2444","DOI":"10.1016\/j.acra.2023.12.015","volume":"31","author":"F Zheng","year":"2024","unstructured":"Zheng F, Yin P, Liang K, et al. Fusion Radiomics-Based prediction of response to neoadjuvant chemotherapy for osteosarcoma. Acad Radiol. 2024;31(6):2444\u201355.","journal-title":"Acad Radiol"},{"issue":"3","key":"2200_CR18","doi-asserted-by":"publisher","first-page":"611","DOI":"10.3233\/XST-221352","volume":"31","author":"Z Luo","year":"2023","unstructured":"Luo Z, Li J, Liao Y, Huang W, Li Y, Shen X. Prediction of response to preoperative neoadjuvant chemotherapy in extremity high-grade osteosarcoma using X-ray and multiparametric MRI radiomics. J Xray Sci Technol. 2023;31(3):611\u201326. https:\/\/doi.org\/10.3233\/XST-221352.","journal-title":"J Xray Sci Technol"},{"issue":"11","key":"2200_CR19","doi-asserted-by":"publisher","first-page":"2177","DOI":"10.1097\/CORR.0000000000000387","volume":"476","author":"J Xu","year":"2018","unstructured":"Xu J, Xie L, Guo W. Neoadjuvant chemotherapy followed by delayed surgery: is it necessary for all patients with nonmetastatic High-Grade pelvic osteosarcoma? Clin Orthop Relat Res. 2018;476(11):2177\u201386.","journal-title":"Clin Orthop Relat Res"},{"issue":"1","key":"2200_CR20","first-page":"14","volume":"101","author":"AG Huvos","year":"1977","unstructured":"Huvos AG, Rosen G, Marcove RC. Primary osteogenic sarcoma: pathologic aspects in 20 patients after treatment with chemotherapy En bloc resection, and prosthetic bone replacement. Arch Pathol Lab Med. 1977;101(1):14\u20138.","journal-title":"Arch Pathol Lab Med"},{"issue":"2","key":"2200_CR21","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1002\/jmri.26834","volume":"51","author":"P Yin","year":"2020","unstructured":"Yin P, Mao N, Liu X, Sun C, Wang S, Chen L, et al. Can clinical radiomics nomogram based on 3D multiparametric MRI features and clinical characteristics estimate early recurrence of pelvic chondrosarcoma? J Magn Reson Imaging. 2020;51(2):435\u201345. https:\/\/doi.org\/10.1002\/jmri.26834.","journal-title":"J Magn Reson Imaging"},{"issue":"4","key":"2200_CR22","doi-asserted-by":"publisher","first-page":"406","DOI":"10.18383\/j.tom.2016.00223","volume":"2","author":"H Yang","year":"2016","unstructured":"Yang H, Schwartz LH, Zhao B. A response assessment platform for development and validation of imaging biomarkers in oncology. Tomography. 2016;2(4):406\u201310. https:\/\/doi.org\/10.18383\/j.tom.2016.00223.","journal-title":"Tomography"},{"issue":"1","key":"2200_CR23","doi-asserted-by":"publisher","first-page":"220","DOI":"10.18383\/j.tom.2019.00006","volume":"5","author":"H Yang","year":"2019","unstructured":"Yang H, Guo X, Schwartz LH, Zhao B. A Web-Based Response-Assessment system for development and validation of imaging biomarkers in oncology. Tomography. 2019;5(1):220\u20135. https:\/\/doi.org\/10.18383\/j.tom.2019.00006.","journal-title":"Tomography"},{"issue":"2","key":"2200_CR24","doi-asserted-by":"publisher","first-page":"223","DOI":"10.18383\/j.tom.2020.00017","volume":"6","author":"L Lu","year":"2020","unstructured":"Lu L, Sun SH, Yang H, et al. Radiomics prediction of EGFR status in lung cancer\u2014our experience in using multiple feature extractors and the cancer imaging archive data. Tomography. 2020;6(2):223\u201330. https:\/\/doi.org\/10.18383\/j.tom.2020.00017.","journal-title":"Tomography"},{"key":"2200_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/srep23428","volume":"6","author":"B Zhao","year":"2016","unstructured":"Zhao B, Tan Y, Tsai WY, et al. Reproducibility of radiomics for Deciphering tumor phenotype with imaging. Sci Rep. 2016;6:1\u20137. https:\/\/doi.org\/10.1038\/srep23428.","journal-title":"Sci Rep"},{"key":"2200_CR26","doi-asserted-by":"publisher","first-page":"110790","DOI":"10.1016\/j.ejrad.2023.110790","volume":"162","author":"P Yin","year":"2023","unstructured":"Yin P, Xu J, Sun X, Liu T, Chen L, Hong N. Intravoxel incoherent motion and dynamic contrast-enhanced magnetic resonance imaging for neoadjuvant chemotherapy response evaluation in patients with osteosarcoma. Eur J Radiol. 2023;162:110790. https:\/\/doi.org\/10.1016\/j.ejrad.2023.110790.","journal-title":"Eur J Radiol"},{"key":"2200_CR27","doi-asserted-by":"publisher","first-page":"100281","DOI":"10.1016\/j.jbo.2020.100281","volume":"21","author":"S Xin","year":"2020","unstructured":"Xin S, Wei G. Prognostic factors in osteosarcoma: A study level meta-analysis and systematic review of current practice. J Bone Oncol. 2020;21:100281. https:\/\/doi.org\/10.1016\/j.jbo.2020.100281.","journal-title":"J Bone Oncol"},{"issue":"1154","key":"2200_CR28","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1093\/bjr\/tqad047","volume":"97","author":"T Kanthawang","year":"2024","unstructured":"Kanthawang T, Wudhikulprapan W, Phinyo P, Settakorn J, Pruksakorn D, Link TM, et al. Can conventional magnetic resonance imaging at presentation predict chemoresistance in osteosarcoma? Br J Radiol. 2024;97(1154):451\u201361. https:\/\/doi.org\/10.1093\/bjr\/tqad047.","journal-title":"Br J Radiol"},{"issue":"3","key":"2200_CR29","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1016\/j.radi.2022.04.008","volume":"28","author":"O Yildirim","year":"2022","unstructured":"Yildirim O, Al Khatalin M, Kargin OA, Camurdan VB. MRI for evaluation of preoperative chemotherapy in osteosarcoma. Radiography (Lond). 2022;28(3):593\u2013604. https:\/\/doi.org\/10.1016\/j.radi.2022.04.008.","journal-title":"Radiography (Lond)"},{"key":"2200_CR30","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.ctro.2021.03.006","volume":"28","author":"JH Wang","year":"2021","unstructured":"Wang JH, Wahid KA, van Dijk LV, Farahani K, Thompson RF, Fuller CD. Radiomic biomarkers of tumor immune biology and immunotherapy response. Clin Transl Radiat Oncol. 2021;28:97\u2013115. https:\/\/doi.org\/10.1016\/j.ctro.2021.03.006.","journal-title":"Clin Transl Radiat Oncol"},{"issue":"8","key":"2200_CR31","doi-asserted-by":"publisher","first-page":"1197","DOI":"10.1007\/s11547-024-01853-4","volume":"129","author":"V Nardone","year":"2024","unstructured":"Nardone V, Reginelli A, Rubini D, et al. Delta radiomics: an updated systematic review. Radiol Med. 2024;129(8):1197\u2013214. https:\/\/doi.org\/10.1007\/s11547-024-01853-4.","journal-title":"Radiol Med"}],"container-title":["BMC Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12880-026-02200-x","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-026-02200-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-026-02200-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T10:26:05Z","timestamp":1772619965000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1186\/s12880-026-02200-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,3]]},"references-count":31,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["2200"],"URL":"https:\/\/doi.org\/10.1186\/s12880-026-02200-x","relation":{},"ISSN":["1471-2342"],"issn-type":[{"value":"1471-2342","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,3]]},"assertion":[{"value":"23 January 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 January 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 February 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The study adhered to the principles of the Declaration of Helsinki. The study was approved by the local ethics committee of Peking University People\u2019s Hospital, and informed consent was waived due to the retrospective nature of the study.","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"}}],"article-number":"118"}}