{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T22:45:06Z","timestamp":1779403506608,"version":"3.53.1"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,4,17]],"date-time":"2023-04-17T00:00:00Z","timestamp":1681689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,4,17]],"date-time":"2023-04-17T00:00:00Z","timestamp":1681689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Imaging"],"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Objectives<\/jats:title>\n                <jats:p>To investigate whether multimodal intratumour and peritumour ultrasound features correlate with specific breast cancer molecular subtypes.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>From March to November 2021, a total of 85 patients with histologically proven breast cancer underwent B-mode, real-time elastography (RTE), colour Doppler flow imaging (CDFI) and contrast-enhanced ultrasound (CEUS). The time intensity curve (TIC) of CEUS was obtained, and the peak and time to peak (TTP) were analysed. Chi-square and binary logistic regression were used to analyse the connection between multimodal ultrasound imaging features and breast cancer molecular subtype.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Among 85 breast cancers, the subtypes were as follows: luminal A (36 cases, 42.4%), luminal B (20 cases, 23.5%), human epidermal growth factor receptor-2 positive (HER2+) (16 cases, 18.8%), and triple negative breast cancer (TNBC) (13 cases, 15.3%). Binary logistic regression models showed that RTE (P\u2009&lt;\u20090.001) and CDFI (P\u2009=\u20090.036) were associated with the luminal A cancer subtype (C-index: 0.741), RTE (P\u2009=\u20090.016) and the peak ratio between intratumour and corpus mamma (P\u2009=\u20090.036) were related to the luminal B cancer subtype (C-index: 0.788). The peak ratio between peritumour and intratumour (P\u2009=\u20090.039) was related to the HER2\u2009+\u2009cancer subtype (C-index: 0.859), and CDFI (P\u2009=\u20090.002) was associated with the TNBC subtype (C-index: 0.847).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>Multimodal ultrasound features could be powerful predictors of specific breast cancer molecular subtypes. The intra- and peritumour CEUS features play assignable roles in separating luminal B and HER2\u2009+\u2009breast cancer subtypes.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12880-023-00999-3","type":"journal-article","created":{"date-parts":[[2023,4,17]],"date-time":"2023-04-17T13:03:41Z","timestamp":1681736621000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Multimodal ultrasound features of breast cancers: correlation with molecular subtypes"],"prefix":"10.1186","volume":"23","author":[{"given":"Jun-Yan","family":"Zhu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Han-Lu","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao-Chun","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hai-Wei","family":"Bao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fen","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,4,17]]},"reference":[{"key":"999_CR1","doi-asserted-by":"publisher","first-page":"7","DOI":"10.3322\/caac.21442","volume":"68","author":"RL Siegel","year":"2018","unstructured":"Siegel RL, Miller KD, Jemal A. Cancer statistics. CA Cancer J Clin. 2018;68:7\u201330.","journal-title":"CA Cancer J Clin"},{"key":"999_CR2","doi-asserted-by":"crossref","first-page":"117822342199585","DOI":"10.1177\/1178223421995854","volume":"15","author":"J Schick","year":"2021","unstructured":"Schick J, Ritchie RP, Restini C. Breast Cancer therapeutics and biomarkers: past, Present, and future approaches. Breast Cancer (Auckl). 2021;15:1178223421995854.","journal-title":"Breast Cancer (Auckl)"},{"key":"999_CR3","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1038\/nrclinonc.2015.73","volume":"12","author":"D Zardavas","year":"2015","unstructured":"Zardavas D, Irrthum A, Swanton C, Piccart M. Clinical management of breast cancer heterogeneity. Nat Rev Clin Oncol. 2015;12:381\u201394.","journal-title":"Nat Rev Clin Oncol"},{"key":"999_CR4","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1186\/s13058-021-01461-4","volume":"23","author":"NJ Chew","year":"2021","unstructured":"Chew NJ, Lim Kam Sian TCC, Nguyen EV, Shin SY, Yang J, Hui MN, et al. Evaluation of FGFR targeting in breast cancer through interrogation of patient-derived models. Breast Cancer Res. 2021;23:82.","journal-title":"Breast Cancer Res"},{"key":"999_CR5","doi-asserted-by":"publisher","first-page":"2504","DOI":"10.3390\/ijms22052504","volume":"22","author":"LA Tashireva","year":"2021","unstructured":"Tashireva LA, Savelieva OE, Grigoryeva ES, Nikitin YV, Denisov EV, Vtorushin SV, et al. Heterogeneous manifestations of epithelial-mesenchymal plasticity of circulating Tumor cells in breast Cancer patients. Int J Mol Sci. 2021;22:2504.","journal-title":"Int J Mol Sci"},{"key":"999_CR6","doi-asserted-by":"publisher","first-page":"547","DOI":"10.1007\/s10555-017-9684-y","volume":"36","author":"B Haynes","year":"2017","unstructured":"Haynes B, Sarma A, Nangia-Makker P, Shekhar MP. Breast cancer complexity: implications of intratumoral heterogeneity in clinical management. Cancer Metastasis Rev. 2017;36:547\u201355.","journal-title":"Cancer Metastasis Rev"},{"key":"999_CR7","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1186\/bcr3658","volume":"16","author":"LG Martelotto","year":"2014","unstructured":"Martelotto LG, Ng CK, Piscuoglio S, Weigelt B, Reis-Filho JS. Breast cancer intra-tumor heterogeneity. Breast Cancer Res. 2014;16:210.","journal-title":"Breast Cancer Res"},{"key":"999_CR8","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/j.ctrv.2013.06.006","volume":"40","author":"SW Lam","year":"2014","unstructured":"Lam SW, Jimenez CR, Boven E. Breast cancer classification by proteomic technologies: current state of knowledge. Cancer Treat Rev. 2014;40:129\u201338.","journal-title":"Cancer Treat Rev"},{"key":"999_CR9","doi-asserted-by":"publisher","first-page":"747","DOI":"10.1038\/35021093","volume":"406","author":"CM Perou","year":"2000","unstructured":"Perou CM, S\u00f8rlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, et al. Molecular portraits of human breast tumours. Nature. 2000;406:747\u201352.","journal-title":"Nature"},{"key":"999_CR10","doi-asserted-by":"publisher","first-page":"1736","DOI":"10.1093\/annonc\/mdr304","volume":"22","author":"A Goldhirsch","year":"2011","unstructured":"Goldhirsch A, Wood WC, Coates AS, Gelber RD, Th\u00fcrlimann B, Senn HJ, et al. Strategies for subtypes\u2013dealing with the diversity of breast cancer: highlights of the St. Gallen International Expert Consensus on the primary therapy of early breast Cancer. Ann Oncol. 2011;22:1736\u201347.","journal-title":"Ann Oncol"},{"issue":"Suppl 5","key":"999_CR11","doi-asserted-by":"publisher","first-page":"v8","DOI":"10.1093\/annonc\/mdv298","volume":"26","author":"E Senkus","year":"2015","unstructured":"Senkus E, Kyriakides S, Ohno S, Penault-Llorca F, Poortmans P, Rutgers E, et al. ESMO Guidelines Committee. Primary breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2015;26(Suppl 5):v8\u201330.","journal-title":"Ann Oncol"},{"key":"999_CR12","doi-asserted-by":"crossref","unstructured":"Sultan LR, Schultz SM, Cary TW, Sehgal CM. Machine learning to improve breast cancer diagnosis by multimodal ultrasound. IEEE Int Ultrason Symp. 2018; 2018:10.","DOI":"10.1109\/ULTSYM.2018.8579953"},{"key":"999_CR13","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1148\/radiol.2391041676","volume":"239","author":"A Itoh","year":"2006","unstructured":"Itoh A, Ueno E, Tohno E, Kamma H, Takahashi H, Shiina T, et al. Breast disease: clinical application of US elastography for diagnosis. Radiology. 2006;239:341\u201350.","journal-title":"Radiology"},{"key":"999_CR14","doi-asserted-by":"publisher","first-page":"553","DOI":"10.1016\/0301-5629(90)90020-D","volume":"16","author":"DD Adler","year":"1990","unstructured":"Adler DD, Carson PL, Rubin JM, Quinn-Reid D. Doppler ultrasound color flow imaging in the study of breast cancer: preliminary findings. Ultrasound Med Biol. 1990;16:553\u20139.","journal-title":"Ultrasound Med Biol"},{"key":"999_CR15","doi-asserted-by":"publisher","first-page":"763","DOI":"10.1016\/j.ultrasmedbio.2015.11.005","volume":"42","author":"M Atri","year":"2016","unstructured":"Atri M, Hudson JM, Sinaei M, Williams R, Milot L, Moshonov H, et al. Impact of Acquisition Method and Region of Interest Placement on Inter-observer Agreement and Measurement of Tumor response to targeted therapy using dynamic contrast-enhanced Ultrasound. Ultrasound Med Biol. 2016;42:763\u20138.","journal-title":"Ultrasound Med Biol"},{"key":"999_CR16","doi-asserted-by":"publisher","first-page":"1553","DOI":"10.1016\/j.ultrasmedbio.2015.01.026","volume":"41","author":"Y Feng","year":"2015","unstructured":"Feng Y, Qin XC, Luo Y, Li YZ, Zhou X. Efficacy of contrast-enhanced ultrasound washout rate in predicting hepatocellular carcinoma differentiation. Ultrasound Med Biol. 2015;41:1553\u201360.","journal-title":"Ultrasound Med Biol"},{"key":"999_CR17","doi-asserted-by":"publisher","first-page":"W7","DOI":"10.2214\/AJR.06.1060","volume":"189","author":"SR Wilson","year":"2007","unstructured":"Wilson SR, Kim TK, Jang HJ, Burns PN. Enhancement patterns of focal liver masses: discordance between contrast-enhanced sonography and contrast-enhanced CT and MRI. AJR Am J Roentgenol. 2007;189:W7\u2013W12.","journal-title":"AJR Am J Roentgenol"},{"key":"999_CR18","doi-asserted-by":"publisher","first-page":"977","DOI":"10.2214\/AJR.09.3375","volume":"194","author":"D Bhayana","year":"2010","unstructured":"Bhayana D, Kim TK, Jang HJ, Burns PN, Wilson SR. Hypervascular liver masses on contrast-enhanced ultrasound: the importance of washout. AJR Am J Roentgenol. 2010;194:977\u201383.","journal-title":"AJR Am J Roentgenol"},{"key":"999_CR19","doi-asserted-by":"publisher","first-page":"794","DOI":"10.1097\/RLI.0000000000000085","volume":"49","author":"N Lassau","year":"2014","unstructured":"Lassau N, Bonastre J, Kind M, Vilgrain V, Lacroix J, Cuinet M, et al. Validation of dynamic contrast-enhanced ultrasound in predicting outcomes of antiangiogenic therapy for solid tumors: the french multicenter support for innovative and expensive techniques study. Invest Radiol. 2014;49:794\u2013800.","journal-title":"Invest Radiol"},{"key":"999_CR20","doi-asserted-by":"publisher","first-page":"2065","DOI":"10.1016\/j.ultrasmedbio.2012.07.027","volume":"38","author":"X Cao","year":"2012","unstructured":"Cao X, Xue J, Zhao B. Potential application value of contrast-enhanced ultrasound in neoadjuvant chemotherapy of breast cancer. Ultrasound Med Biol. 2012;38:2065\u201371.","journal-title":"Ultrasound Med Biol"},{"key":"999_CR21","doi-asserted-by":"publisher","first-page":"179","DOI":"10.7863\/ultra.34.2.179","volume":"34","author":"E Fr\u00f6hlich","year":"2015","unstructured":"Fr\u00f6hlich E, Muller R, Cui XW, Schreiber-Dietrich D, Dietrich CF. Dynamic contrast-enhanced ultrasound for quantification of tissue perfusion. J Ultrasound Med. 2015;34:179\u201396.","journal-title":"J Ultrasound Med"},{"key":"999_CR22","doi-asserted-by":"publisher","first-page":"1650","DOI":"10.1016\/j.ejrad.2015.05.013","volume":"84","author":"JM Hudson","year":"2015","unstructured":"Hudson JM, Williams R, Tremblay-Darveau C, Sheeran PS, Milot L, Bjarnason GA, et al. Dynamic contrast enhanced ultrasound for therapy monitoring. Eur J Radiol. 2015;84:1650\u20137.","journal-title":"Eur J Radiol"},{"key":"999_CR23","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1016\/j.pbiomolbio.2011.06.006","volume":"106","author":"Y Kim","year":"2011","unstructured":"Kim Y, Stolarska MA, Othmer HG. The role of the microenvironment in tumor growth and invasion. Prog Biophys Mol Biol. 2011;106:353\u201379.","journal-title":"Prog Biophys Mol Biol"},{"key":"999_CR24","doi-asserted-by":"publisher","first-page":"991","DOI":"10.2217\/fon-2016-0501","volume":"13","author":"JS Wu","year":"2017","unstructured":"Wu JS, Sheng SR, Liang XH, Tang YL. The role of tumor microenvironment in collective tumor cell invasion. Future Oncol. 2017;13:991\u20131002.","journal-title":"Future Oncol"},{"key":"999_CR25","doi-asserted-by":"publisher","first-page":"1457","DOI":"10.1200\/JCO.1990.8.9.1457","volume":"8","author":"AK Lee","year":"1990","unstructured":"Lee AK, DeLellis RA, Silverman ML, Heatley GJ, Wolfe HJ. Prognostic significance of peritumoral lymphatic and blood vessel invasion in node-negative carcinoma of the breast. J Clin Oncol. 1990;8:1457\u201365.","journal-title":"J Clin Oncol"},{"key":"999_CR26","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1186\/1472-6890-13-31","volume":"13","author":"ZM Mohammed","year":"2013","unstructured":"Mohammed ZM, McMillan DC, Edwards J, Mallon E, Doughty JC, Orange C, et al. The relationship between lymphovascular invasion and angiogenesis, hormone receptors, cell proliferation and survival in patients with primary operable invasive ductal breast cancer. BMC Clin Pathol. 2013;13:31.","journal-title":"BMC Clin Pathol"},{"key":"999_CR27","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1148\/radiol.2016151959","volume":"281","author":"M Freed","year":"2016","unstructured":"Freed M, Storey P, Lewin AA, Babb J, Moccaldi M, Moy L, et al. Evaluation of breast lipid composition in patients with Benign tissue and Cancer by using multiple Gradient-Echo MR Imaging. Radiology. 2016;281:43\u201353.","journal-title":"Radiology"},{"key":"999_CR28","doi-asserted-by":"publisher","first-page":"1004","DOI":"10.1016\/j.ejrad.2016.02.017","volume":"85","author":"HJ Shin","year":"2016","unstructured":"Shin HJ, Park JY, Shin KC, Kim HH, Cha JH, Chae EY, et al. Characterization of tumor and adjacent peritumoral stroma in patients with breast cancer using high-resolution diffusion-weighted imaging: correlation with pathologic biomarkers. Eur J Radiol. 2016;85:1004\u201311.","journal-title":"Eur J Radiol"},{"key":"999_CR29","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1148\/radiol.2017171157","volume":"287","author":"H Cheon","year":"2018","unstructured":"Cheon H, Kim HJ, Kim TH, Ryeom HK, Lee J, Kim GC, et al. Invasive breast Cancer: Prognostic Value of Peritumoral Edema identified at preoperative MR Imaging. Radiology. 2018;287:68\u201375.","journal-title":"Radiology"},{"key":"999_CR30","doi-asserted-by":"publisher","first-page":"106535","DOI":"10.1016\/j.intimp.2020.106535","volume":"84","author":"K Barzaman","year":"2020","unstructured":"Barzaman K, Karami J, Zarei Z, Hosseinzadeh A, Kazemi MH, Moradi-Kalbolandi S, et al. Breast cancer: Biology, biomarkers, and treatments. Int Immunopharmacol. 2020;84:106535.","journal-title":"Int Immunopharmacol"},{"key":"999_CR31","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1308\/rcsann.2019.0109","volume":"102","author":"YA Masannat","year":"2020","unstructured":"Masannat YA, Agrawal A, Maraqa L, Fuller M, Down SK, Tang S, et al. Multifocal and multicentric breast cancer, is it time to think again? Ann R Coll Surg Engl. 2020;102:62\u20136.","journal-title":"Ann R Coll Surg Engl"},{"key":"999_CR32","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1007\/s10549-016-3826-8","volume":"157","author":"X Chen","year":"2016","unstructured":"Chen X, Hu H, He L, Yu X, Liu X, Zhong R, et al. A novel subtype classification and risk of breast cancer by histone modification profiling. Breast Cancer Res Treat. 2016;157:267\u201379.","journal-title":"Breast Cancer Res Treat"},{"key":"999_CR33","doi-asserted-by":"publisher","first-page":"2130","DOI":"10.1093\/bib\/bby073","volume":"20","author":"F Yu","year":"2019","unstructured":"Yu F, Quan F, Xu J, Zhang Y, Xie Y, Zhang J, et al. Breast cancer prognosis signature: linking risk stratification to disease subtypes. Brief Bioinform. 2019;20:2130\u201340.","journal-title":"Brief Bioinform"},{"key":"999_CR34","doi-asserted-by":"publisher","first-page":"e2290","DOI":"10.1097\/MD.0000000000002290","volume":"94","author":"M Hayashi","year":"2015","unstructured":"Hayashi M, Yamamoto Y, Sueta A, Tomiguchi M, Yamamoto-Ibusuki M, Kawasoe T, et al. Associations between Elastography Findings and clinicopathological factors in breast Cancer. Med (Baltim). 2015;94:e2290.","journal-title":"Med (Baltim)"},{"key":"999_CR35","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1186\/s40644-020-00362-7","volume":"20","author":"J Yoo","year":"2020","unstructured":"Yoo J, Seo BK, Park EK, Kwon M, Jeong H, Cho KR, et al. Tumor stiffness measured by shear wave elastography correlates with tumor hypoxia as well as histologic biomarkers in breast cancer. Cancer Imaging. 2020;20:85.","journal-title":"Cancer Imaging"},{"key":"999_CR36","doi-asserted-by":"crossref","unstructured":"Millar EK, Browne LH, Beretov J, Lee K, Lynch J, Swarbrick A et al. Tumour Stroma Ratio Assessment Using Digital Image Analysis Predicts Survival in Triple Negative and Luminal Breast Cancer. Cancers (Basel). 2020 Dec;12:3749.","DOI":"10.3390\/cancers12123749"},{"key":"999_CR37","doi-asserted-by":"crossref","unstructured":"Wu T, Li J, Wang D, Leng X, Zhang L, Li Z, Cho N, Jang M, Lyou CY, Park JS, Choi HY, Moon WK et al. Distinguishing benign from malignant masses at breast US: combined US elastography and color doppler US\u2013influence on radiologist accuracy. Radiology. 2012; 262:80\u201390.","DOI":"10.1148\/radiol.11110886"},{"key":"999_CR38","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1148\/radiol.11110886","volume":"20","author":"N Cho","year":"2012","unstructured":"Cho N, Jang M, Lyou CY, Park JS, Choi HY, Moon WK. Distinguishing benign from malignant masses at breast US: combined US elastography and color doppler US--influence on radiologist accuracy. Radiology. 2012;262:80\u201390.","journal-title":"Radiology"},{"key":"999_CR39","doi-asserted-by":"publisher","first-page":"1091","DOI":"10.7863\/jum.2001.20.10.1091","volume":"20","author":"A Ozdemir","year":"2001","unstructured":"Ozdemir A, Ozdemir H, Maral I, Konu\u015f O, Y\u00fccel S, I\u015fik S. Differential diagnosis of solid breast lesions: contribution of Doppler studies to mammography and gray scale imaging. J Ultrasound Med. 2001;20:1091\u2013101.","journal-title":"J Ultrasound Med"},{"key":"999_CR40","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1097\/CM9.0000000000001329","volume":"134","author":"TF Yu","year":"2021","unstructured":"Yu TF, He W, Gan CG, Zhao MC, Zhu Q, Zhang W, et al. Deep learning applied to two-dimensional color doppler flow imaging ultrasound images significantly improves diagnostic performance in the classification of breast masses: a multicenter study. Chin Med J (Engl). 2021;134:415\u201324.","journal-title":"Chin Med J (Engl)"},{"key":"999_CR41","doi-asserted-by":"crossref","unstructured":"Angius A, Pira G, Cossu-Rocca P, Sotgiu G, Saderi L, Muroni MR et al. Deciphering clinical significance of BCL11A isoforms and protein expression roles in triple-negative breast cancer subtype.J Cancer Res Clin Oncol. 2022 Aug28.","DOI":"10.1007\/s00432-022-04301-w"},{"key":"999_CR42","doi-asserted-by":"crossref","unstructured":"Bando Y, Kobayashi T, Miyakami Y, Sumida S, Kakimoto T, Saijo Y Triple-negative breast cancer and basal-like subtype\u2020Pathology and targeted therapy. J Med Invest., Mandai M, Koda M, Matono T, Nagahara T, Sugihara T, Ueki M et al. Assessment of hepatocellular carcinoma by contrast-enhanced ultrasound with perfluorobutane microbubbles: comparison with dynamic CT. Br J Radiol. 2011; 84:499\u2013507.","DOI":"10.1259\/bjr\/38682601"},{"key":"999_CR43","doi-asserted-by":"crossref","unstructured":"AMandai M, Koda M, Matono T, Nagahara T, Sugihara T, Ueki M, et al. Assessment of hepatocellular carcinoma by contrast-enhanced ultrasound with perfluorobutane microbubbles: comparison with dynamic CT. Br J Radiol. 2011;84:499\u2013507.","DOI":"10.1259\/bjr\/38682601"},{"key":"999_CR44","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.ejrad.2015.10.017","volume":"85","author":"Y Wang","year":"2016","unstructured":"Wang Y, Fan W, Zhao S, Zhang K, Zhang L, Zhang P, et al. Qualitative, quantitative and combination score systems in differential diagnosis of breast lesions by contrast-enhanced ultrasound. Eur J Radiol. 2016;85:48\u201354.","journal-title":"Eur J Radiol"},{"key":"999_CR45","doi-asserted-by":"publisher","first-page":"1123","DOI":"10.2147\/OTT.S124134","volume":"10","author":"YX Zhao","year":"2017","unstructured":"Zhao YX, Liu S, Hu YB, Ge YY, Lv DM. Diagnostic and prognostic values of contrast-enhanced ultrasound in breast cancer: a retrospective study. Onco Targets Ther. 2017;10:1123\u20139.","journal-title":"Onco Targets Ther"},{"key":"999_CR46","first-page":"7","volume":"19","author":"RK Jain","year":"2005","unstructured":"Jain RK. Antiangiogenic therapy for Cancer: current and emerging concepts. Oncology. 2005;19:7.","journal-title":"Oncology"},{"key":"999_CR47","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1101\/sqb.2005.70.011","volume":"70","author":"CB Thompson","year":"2005","unstructured":"Thompson CB, Bauer DE, Lum JJ, Hatzivassiliou G, Zong WX, Zhao F, et al. How do cancer cells acquire the fuel needed to support cell growth? Cold Spring Harb Symp Quant Biol. 2005;70:357\u201362.","journal-title":"Cold Spring Harb Symp Quant Biol"},{"key":"999_CR48","doi-asserted-by":"publisher","first-page":"10869","DOI":"10.1073\/pnas.191367098","volume":"98","author":"T S\u00f8rlie","year":"2001","unstructured":"S\u00f8rlie T, Perou CM, Tibshirani R, Aas T, Geisler S, Johnsen H, et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci U S A. 2001;98:10869\u201374.","journal-title":"Proc Natl Acad Sci U S A"},{"key":"999_CR49","doi-asserted-by":"publisher","first-page":"2803","DOI":"10.1158\/1078-0432.CCR-10-0026","volume":"16","author":"JM Specht","year":"2010","unstructured":"Specht JM, Kurland BF, Montgomery SK, Dunnwald LK, Doot RK, Gralow JR, et al. Tumor metabolism and blood flow as assessed by positron emission tomography varies by tumor subtype in locally advanced breast cancer. Clin Cancer Res. 2010;16:2803\u201310.","journal-title":"Clin Cancer Res"}],"container-title":["BMC Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-023-00999-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12880-023-00999-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-023-00999-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,17]],"date-time":"2023-04-17T14:07:46Z","timestamp":1681740466000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedimaging.biomedcentral.com\/articles\/10.1186\/s12880-023-00999-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,17]]},"references-count":49,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,12]]}},"alternative-id":["999"],"URL":"https:\/\/doi.org\/10.1186\/s12880-023-00999-3","relation":{},"ISSN":["1471-2342"],"issn-type":[{"value":"1471-2342","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,17]]},"assertion":[{"value":"15 August 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 March 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 April 2023","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 medical ethics committee of the First Affiliated Hospital of Zhejiang Chinese Medical University approved this retrospective study and waived the requirement for written informed consent. Authors confirm that all experiments were performed in accordance with relevant guidelines and regulations.","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 that they have no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"57"}}