{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T18:59:08Z","timestamp":1785351548757,"version":"3.55.0"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T00:00:00Z","timestamp":1785283200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T00:00:00Z","timestamp":1785283200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"Yantai Science and Technology Innovation Development Plan","award":["2024YT06000852"],"award-info":[{"award-number":["2024YT06000852"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Digit Imaging. Inform. med."],"DOI":"10.1007\/s10278-026-02127-3","type":"journal-article","created":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T18:23:06Z","timestamp":1785349386000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Contrast-Enhanced Mammography-Based Radiomics for Predicting Ductal Carcinoma In Situ in Breast Cancer"],"prefix":"10.1007","author":[{"given":"Kun","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juan","family":"Qiu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lijuan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ning","family":"Mao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ping","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guangdong","family":"Qiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kun","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fan","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cong","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,29]]},"reference":[{"key":"2127_CR1","doi-asserted-by":"crossref","unstructured":"Lyman, G.H., et al., Sentinel Lymph Node Biopsy for Patients With Early-Stage Breast Cancer: American Society of Clinical Oncology Clinical Practice Guideline Update. J Clin Oncol, 2017. 35(5): p. 561-564.","DOI":"10.1200\/JCO.2016.71.0947"},{"key":"2127_CR2","doi-asserted-by":"crossref","unstructured":"Cardoso, F., et al., Early breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol, 2019. 30(10): p. 1674.","DOI":"10.1093\/annonc\/mdz189"},{"key":"2127_CR3","doi-asserted-by":"crossref","unstructured":"Houssami, N., et al., Underestimation of malignancy of breast core-needle biopsy: concepts and precise overall and category-specific estimates. Cancer, 2007. 109(3): p. 487-95.","DOI":"10.1002\/cncr.22435"},{"key":"2127_CR4","doi-asserted-by":"crossref","unstructured":"O'Flynn, E.A., et al., Prediction of the presence of invasive disease from the measurement of extent of malignant microcalcification on mammography and ductal carcinoma in situ grade at core biopsy. Clin Radiol, 2009. 64(2): p. 178-83.","DOI":"10.1016\/j.crad.2008.08.007"},{"key":"2127_CR5","doi-asserted-by":"crossref","unstructured":"Sauer, G., et al., Ultrasound-guided large-core needle biopsies of breast lesions: analysis of 962 cases to determine the number of samples for reliable tumour classification. Br J Cancer, 2005. 92(2): p. 231-5.","DOI":"10.1038\/sj.bjc.6602303"},{"key":"2127_CR6","doi-asserted-by":"crossref","unstructured":"Wadsten, C., et al., Risk of death from breast cancer after treatment for ductal carcinoma in situ. Br J Surg, 2017. 104(11): p. 1506-1513.","DOI":"10.1002\/bjs.10589"},{"key":"2127_CR7","doi-asserted-by":"crossref","unstructured":"Killelea, B.K., et al., Associations Between Sentinel Lymph Node Biopsy and Complications for Patients with Ductal Carcinoma In Situ. Ann Surg Oncol, 2018. 25(6): p. 1521-1529.","DOI":"10.1245\/s10434-018-6410-0"},{"key":"2127_CR8","doi-asserted-by":"crossref","unstructured":"Iatrakis, G. and S. Zervoudis, Epidemiology of Ductal Carcinoma In Situ. Chirurgia (Bucur), 2021. 116(5 Suppl): p. S15-S21.","DOI":"10.21614\/chirurgia.116.5.suppl.S15"},{"key":"2127_CR9","doi-asserted-by":"crossref","unstructured":"James, J.J. and S.L. Tennant, Contrast-enhanced spectral mammography (CESM). Clin Radiol, 2018. 73(8): p. 715-723.","DOI":"10.1016\/j.crad.2018.05.005"},{"key":"2127_CR10","doi-asserted-by":"crossref","unstructured":"Jemal, A., et al., Cancer statistics, 2009. CA Cancer J Clin, 2009. 59(4): p. 225-49.","DOI":"10.3322\/caac.20006"},{"key":"2127_CR11","doi-asserted-by":"crossref","unstructured":"Lambin, P., et al., Radiomics: the bridge between medical imaging and personalized medicine. Nature Reviews Clinical Oncology, 2017. 14(12): p. 749-762.","DOI":"10.1038\/nrclinonc.2017.141"},{"key":"2127_CR12","doi-asserted-by":"crossref","unstructured":"Crivelli, P., et al., A New Challenge for Radiologists: Radiomics in Breast Cancer. BioMed Research International, 2018. 2018: p. 1-10.","DOI":"10.1155\/2018\/6120703"},{"key":"2127_CR13","doi-asserted-by":"crossref","unstructured":"Mao, N., et al., Delta Radiomics Based on MRI for Predicting Axillary Lymph Node Pathologic Complete Response After Neoadjuvant Chemotherapy in Breast Cancer Patients. Academic Radiology, 2024.","DOI":"10.1016\/j.acra.2024.07.052"},{"key":"2127_CR14","doi-asserted-by":"crossref","unstructured":"Sorin, V., et al., Background Parenchymal Enhancement at Contrast-Enhanced Spectral Mammography (CESM) as a Breast Cancer Risk Factor. Acad Radiol, 2020. 27(9): p. 1234-1240.","DOI":"10.1016\/j.acra.2019.10.034"},{"key":"2127_CR15","doi-asserted-by":"crossref","unstructured":"Lee, C.I., L.E. Chen, and J.G. Elmore, Risk-based Breast Cancer Screening: Implications of Breast Density. Med Clin North Am, 2017. 101(4): p. 725-741.","DOI":"10.1016\/j.mcna.2017.03.005"},{"key":"2127_CR16","doi-asserted-by":"crossref","unstructured":"Sogani, J., et al., Comparison of Background Parenchymal Enhancement at Contrast-enhanced Spectral Mammography and Breast MR Imaging. Radiology, 2017. 282(1): p. 63-73.","DOI":"10.1148\/radiol.2016160284"},{"key":"2127_CR17","unstructured":"Sickles E, D.O.C., Bassett LW, et al., ACR BI-RADS Mammography. In: ACR BI-RADS Atlas, Breast Imaging Reporting and Data System. Reston. American College of Radiology, 2013."},{"key":"2127_CR18","doi-asserted-by":"crossref","unstructured":"Dean, P.B., Radiomics and Breast Cancer Management. Academic Radiology, 2022. 29(12): p. 1783-1785.","DOI":"10.1016\/j.acra.2022.09.012"},{"key":"2127_CR19","doi-asserted-by":"crossref","unstructured":"Huang, Z., et al., A clinical radiomics nomogram preoperatively to predict ductal carcinoma in situ with microinvasion in women with biopsy-confirmed ductal carcinoma in situ: a preliminary study. BMC Medical Imaging, 2023. 23(1).","DOI":"10.1186\/s12880-023-01092-5"},{"key":"2127_CR20","doi-asserted-by":"crossref","unstructured":"Lobbes, M.B.I., et al., Contrast enhanced mammography: Techniques, current results, and potential indications. Clinical Radiology, 2013. 68(9): p. 935-944.","DOI":"10.1016\/j.crad.2013.04.009"},{"key":"2127_CR21","doi-asserted-by":"crossref","unstructured":"Badve, S.S. and Y. Gokmen-Polar, Ductal carcinoma in situ of breast: update 2019. Pathology, 2019. 51(6): p. 563-569.","DOI":"10.1016\/j.pathol.2019.07.005"},{"key":"2127_CR22","doi-asserted-by":"crossref","unstructured":"Farante, G., et al., Advances and controversies in management of breast ductal carcinoma in situ (DCIS). European Journal of Surgical Oncology, 2022. 48(4): p. 736-741.","DOI":"10.1016\/j.ejso.2021.10.030"},{"key":"2127_CR23","doi-asserted-by":"crossref","unstructured":"Wang, Z., et al., Contrast-Enhanced Spectral Mammography-Based Radiomics Nomogram for the Prediction of Neoadjuvant Chemotherapy-Insensitive Breast Cancers. Front Oncol, 2021. 11: p. 605230.","DOI":"10.3389\/fonc.2021.605230"},{"key":"2127_CR24","doi-asserted-by":"crossref","unstructured":"Acciavatti, R.J., et al., Beyond Breast Density: Risk Measures for Breast Cancer in Multiple Imaging Modalities. Radiology, 2023. 306(3).","DOI":"10.1148\/radiol.222575"},{"key":"2127_CR25","doi-asserted-by":"crossref","unstructured":"Kim, G.R., et al., Interval Cancers after Negative Supplemental Screening Breast MRI Results in Women with a Personal History of Breast Cancer. Radiology, 2021. 300(2): p. 314-323.","DOI":"10.1148\/radiol.2021203074"},{"key":"2127_CR26","doi-asserted-by":"crossref","unstructured":"Lee, S.H., et al., Background Parenchymal Enhancement at Postoperative Surveillance Breast MRI: Association with Future Second Breast Cancer Risk. Radiology, 2023. 306(1): p. 90-99.","DOI":"10.1148\/radiol.220440"},{"key":"2127_CR27","doi-asserted-by":"crossref","unstructured":"Hou, R., et al., Prediction of Upstaging in Ductal Carcinoma in Situ Based on Mammographic Radiomic Features. Radiology, 2022. 303(1): p. 54-62.","DOI":"10.1148\/radiol.210407"},{"key":"2127_CR28","doi-asserted-by":"crossref","unstructured":"Lee, H.-J., et al., Prediction of the histologic upgrade of ductal carcinoma in situ using a combined radiomics and machine learning approach based on breast dynamic contrast-enhanced magnetic resonance imaging. Frontiers in Oncology, 2022. 12.","DOI":"10.3389\/fonc.2022.1032809"},{"key":"2127_CR29","doi-asserted-by":"crossref","unstructured":"Zhu, Y., et al., Adding contrast-enhanced ultrasound can improve the predictive ability of breast conventional ultrasound and mammography for pathological upgrade of biopsy-confirmed ductal carcinoma in situ. Eur J Radiol, 2024. 180: p. 111687.","DOI":"10.1016\/j.ejrad.2024.111687"},{"key":"2127_CR30","doi-asserted-by":"crossref","unstructured":"Niu, Q., et al., Development of a Multi-Parametric ultrasonography nomogram for prediction of invasiveness in ductal carcinoma in situ. Eur J Radiol, 2024. 175: p. 111415.","DOI":"10.1016\/j.ejrad.2024.111415"},{"key":"2127_CR31","doi-asserted-by":"crossref","unstructured":"Huang, C.Y., et al., Deep\u2010learning model to improve histological grading and predict upstaging of atypical ductal hyperplasia \/ ductal carcinoma in situ on breast biopsy. Histopathology, 2024. 84(6): p. 983-1002.","DOI":"10.1111\/his.15144"}],"container-title":["Journal of Imaging Informatics in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-026-02127-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10278-026-02127-3","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-026-02127-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T18:23:09Z","timestamp":1785349389000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10278-026-02127-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,29]]},"references-count":31,"alternative-id":["2127"],"URL":"https:\/\/doi.org\/10.1007\/s10278-026-02127-3","relation":{},"ISSN":["2948-2933"],"issn-type":[{"value":"2948-2933","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,29]]},"assertion":[{"value":"17 December 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 July 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 July 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 July 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"This study was approved by the institutional review board of Yantai Yuhuangding Hospital, and the patients\u2019 right to informed consent was waived.","order":1,"name":"Ethics","label":"Ethics Approval and Consent to Participate","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Consent forms were obtained.","order":2,"name":"Ethics","label":"Consent for Publication","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":4,"name":"Ethics","label":"Clinical Trial Number","group":{"name":"EthicsHeading","label":"Declarations"}}]}}