{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T03:24:20Z","timestamp":1769052260594,"version":"3.49.0"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"1","content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Imaging"],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1186\/s12880-017-0239-z","type":"journal-article","created":{"date-parts":[[2017,12,29]],"date-time":"2017-12-29T00:44:37Z","timestamp":1514508277000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":87,"title":["MRI texture analysis in differentiating luminal A and luminal B breast cancer molecular subtypes - a feasibility study"],"prefix":"10.1186","volume":"17","author":[{"given":"Kirsi","family":"Holli-Helenius","sequence":"first","affiliation":[]},{"given":"Annukka","family":"Salminen","sequence":"additional","affiliation":[]},{"given":"Irina","family":"Rinta-Kiikka","sequence":"additional","affiliation":[]},{"given":"Ilkka","family":"Koskivuo","sequence":"additional","affiliation":[]},{"given":"Nina","family":"Br\u00fcck","sequence":"additional","affiliation":[]},{"given":"Pia","family":"Bostr\u00f6m","sequence":"additional","affiliation":[]},{"given":"Riitta","family":"Parkkola","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,12,29]]},"reference":[{"issue":"8","key":"239_CR1","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, Panel members. Strategies for subtypes--dealing with the diversity of breast cancer: highlights of the St. Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011. Ann Oncol. 2011;22(8):1736\u201347. \nhttps:\/\/doi.org\/10.1093\/annonc\/mdr304\n\n.","journal-title":"Ann Oncol"},{"key":"239_CR2","doi-asserted-by":"publisher","DOI":"10.1186\/s13058-015-0514-2","volume":"17","author":"B Gy\u00f6rffy","year":"2015","unstructured":"Gy\u00f6rffy B, Hatzis C, Sanft T, Hofstatter E, Aktas B, Pusztai L. Multigene prognostic tests in breast cancer: past, present, future. Breast Cancer Res. 2015;17:11. \nhttps:\/\/doi.org\/10.1186\/s13058-015-0514-2\n\n.","journal-title":"Breast Cancer Res"},{"issue":"3","key":"239_CR3","doi-asserted-by":"publisher","first-page":"198","DOI":"10.4048\/jbc.2011.14.3.198.","volume":"14","author":"YJ Song","year":"2011","unstructured":"Song YJ, Shin SH, Cho JS, Park MH, Yoon JH, Jegal YJ. The role of lymphovascular invasion as a prognostic factor in patients with lymph node-positive operable invasive breast cancer. J Breast Cancer. 2011;14(3):198\u2013203. \nhttps:\/\/doi.org\/10.4048\/jbc.2011.14.3.198.","journal-title":"J Breast Cancer"},{"key":"239_CR4","doi-asserted-by":"crossref","first-page":"2206","DOI":"10.1093\/annonc\/mdt303","volume":"24","author":"A Goldhirsch","year":"2013","unstructured":"Goldhirsch A, Winer EP, Coates AS, Gelber RD, Piccart-Gebhart M, Th\u00fcrlimann B, Senn HJ. Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer. Ann Oncol. 2013;24:2206\u201323.","journal-title":"Ann Oncol"},{"key":"239_CR5","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1007\/s10549-016-3817-9","volume":"157","author":"S Bustreo","year":"2016","unstructured":"Bustreo S, Osella-Abate S, Cassoni P, Donadio M, Airoldi M, Pedani F, Papotti M, Sapino A, Castellano I. Optimal Ki-67 cut-off for luminal breast cancer prognostic evaluation: a large case series study with a long-term follow-up. Breast Cancer Research and Treatment. 2016;157:363\u201371. \nhttps:\/\/doi.org\/10.1007\/s10549-016-3817-9\n\n.","journal-title":"Breast Cancer Research and Treatment"},{"issue":"10","key":"239_CR6","doi-asserted-by":"publisher","first-page":"736","DOI":"10.1093\/jnci\/djp082","volume":"101","author":"MC Cheang","year":"2009","unstructured":"Cheang MC, Chia SK, Voduc D, Gao D, Leung S, Snider J, Watson M, Davies S, Bernard PS, Parker JS, Perou CM, Ellis MJ, Nielsen TO. Ki-67 index, HER2 status, and prognosis of patients with luminal B breast cancer. J Natl Cancer Inst 20. 2009;101(10):736\u201350. \nhttps:\/\/doi.org\/10.1093\/jnci\/djp082\n\n.","journal-title":"J Natl Cancer Inst 20"},{"issue":"4","key":"239_CR7","doi-asserted-by":"crossref","first-page":"747","DOI":"10.1002\/mrm.21530","volume":"59","author":"S Jansen","year":"2008","unstructured":"Jansen S, Fan X, Karczmar G, Abe H, Schmidt R, Newstead G. Differentiation between benign and malignant breast lesions detected by bilateral dynamic contrast-enhanced MRI: A sensitivity and specificity study. Magnetic Resonance in Medicine. 2008;59(4):747\u201354.","journal-title":"Magnetic Resonance in Medicine"},{"issue":"4","key":"239_CR8","doi-asserted-by":"publisher","first-page":"986","DOI":"10.2214\/AJR.08.1229.","volume":"193","author":"L Moy","year":"2009","unstructured":"Moy L, Elias K, Patel V, Lee J, Babb JS, Toth HK, Mercado CL. Is breast MRI helpful in the evaluation of inconclusive mammographic findings? AJR Am J Roentgenol. 2009;193(4):986\u201393. \nhttps:\/\/doi.org\/10.2214\/AJR.08.1229.","journal-title":"AJR Am J Roentgenol"},{"key":"239_CR9","doi-asserted-by":"crossref","first-page":"S147","DOI":"10.1148\/rg.27si075516","volume":"27","author":"H Ojeda-Fournier","year":"2007","unstructured":"Ojeda-Fournier H, Choe KA, Mahoney M. Recognizing and Interpreting Artifacts and Pitfalls in MR Imaging of the Breast. RadioGraphics. 2007;27:S147\u201364.","journal-title":"RadioGraphics"},{"issue":"1011","key":"239_CR10","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1259\/bjr\/47213729","volume":"85","author":"I Millet","year":"2012","unstructured":"Millet I, Pages E, Hoa D, Merigeaud S, Curros Doyon F, Prat X, Taourel P. Pearls and pitfalls in breast MRI. Br J Radiol. 2012;85(1011):197\u2013207.","journal-title":"Br J Radiol"},{"issue":"6","key":"239_CR11","doi-asserted-by":"crossref","first-page":"1719","DOI":"10.1148\/rg.266065025","volume":"26","author":"KJ Macura","year":"2006","unstructured":"Macura KJ, Ouwerkerk R, Jacobs MA, Bluemke DA. Patterns of enhancement on breast MR images: interpretation and imaging pitfalls. Radiographics. 2006;26(6):1719\u201334.","journal-title":"Radiographics"},{"issue":"1","key":"239_CR12","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1002\/nbm.1273","volume":"22","author":"LW Turnbull","year":"2009","unstructured":"Turnbull LW. Dynamic contrast-enhanced MRI in the diagnosis and management of breast cancer. NMR Biomed. 2009;22(1):28\u201339. \nhttps:\/\/doi.org\/10.1002\/nbm.1273","journal-title":"NMR Biomed"},{"issue":"3","key":"239_CR13","first-page":"303","volume":"3","author":"B Behjatnia","year":"2010","unstructured":"Behjatnia B, Sim J, Bassett LW, Moatamed NA, Apple SK. Does size matter? Comparison study between MRI, gross, and microscopic tumor sizes in breast cancer in lumpectomy specimens. Int J Clin Exp Pathol 22. 2010;3(3):303\u20139.","journal-title":"Int J Clin Exp Pathol 22"},{"key":"239_CR14","doi-asserted-by":"crossref","first-page":"844","DOI":"10.1016\/j.amjsurg.2008.07.028","volume":"196","author":"JK Onesti","year":"2008","unstructured":"Onesti JK, Mangus BE, Helmer SD. Breast cancer tumor size: correlation between magnetic resonance imaging and pathology measurements. Am J Surg. 2008;196:844\u201350.","journal-title":"Am J Surg"},{"issue":"12","key":"239_CR15","doi-asserted-by":"crossref","first-page":"1061","DOI":"10.1016\/j.crad.2004.07.008","volume":"59","author":"G Castellano","year":"2004","unstructured":"Castellano G, Bonilha L, Li LM, Cendes F. Texture analysis of medical images. Clin Radiol. 2004;59(12):1061\u20139.","journal-title":"Clin Radiol"},{"issue":"1","key":"239_CR16","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1002\/mrm.10496","volume":"50","author":"P Gibbs","year":"2003","unstructured":"Gibbs P, Turnbull LW. Textural analysis of contrast-enhanced MR Images of the breast. Magn Reson Med. 2003;50(1):92\u20138.","journal-title":"Magn Reson Med"},{"issue":"12","key":"239_CR17","doi-asserted-by":"crossref","first-page":"1513","DOI":"10.1016\/j.acra.2008.06.005","volume":"15","author":"K Nie","year":"2008","unstructured":"Nie K, Chen JH, Yu HJ, Chu Y, Nalcioglu O, MY S. Quantitative analysis of lesion morphology and texture features for diagnostic prediction in breast MRI. Acad Radiol. 2008;15(12):1513\u201325.","journal-title":"Acad Radiol"},{"issue":"4","key":"239_CR18","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1007\/s00330-009-1616-y","volume":"20","author":"D Newell","year":"2010","unstructured":"Newell D, Nie K, Chen JH, Hsu CC, Yu HJ, Nalcioglu O, MY S. Selection of diagnostic features on breast MRI to differentiate between malignant and benign lesions using computer-aided diagnosis: differences in lesions presenting as mass and non-mass-like enhancement. Eur Radiol. 2010;20(4):771\u201381.","journal-title":"Eur Radiol"},{"issue":"7","key":"239_CR19","doi-asserted-by":"crossref","first-page":"842","DOI":"10.1016\/j.acra.2009.01.029","volume":"16","author":"CE McLaren","year":"2009","unstructured":"McLaren CE, Chen WP, Nie K, MY S. Prediction of malignant breast lesions from MRI features: a comparison of artificial neural network and logistic regression techniques. Acad Radiol. 2009;16(7):842\u201351.","journal-title":"Acad Radiol"},{"issue":"2","key":"239_CR20","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1007\/s00330-015-3845-6.","volume":"26","author":"SA Waugh","year":"2016","unstructured":"Waugh SA, Purdie CA, Jordan LB, Vinnicombe S, Lerski RA, Martin P, Thompson AM. Magnetic resonance imaging texture analysis classification of primary breast cancer. Eur Radiol. 2016;26(2):322\u201330. \nhttps:\/\/doi.org\/10.1007\/s00330-015-3845-6.","journal-title":"Eur Radiol"},{"key":"239_CR21","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1007\/s13244-012-0196-6","volume":"3","author":"F Davnall","year":"2012","unstructured":"Davnall F, Yip CS, Ljungqvist G, Selmi M, Ng F, Sanghera B, Ganeshan B, Miles KA, Cook GJ, Goh V. Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? Insights Imaging. 2012;3:573\u201389. \nhttps:\/\/doi.org\/10.1007\/s13244-012-0196-6\n\n.","journal-title":"Insights Imaging"},{"key":"239_CR22","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1259\/bjr\/50743919","volume":"83","author":"A Karahaliou","year":"2010","unstructured":"Karahaliou A, Vassiou K, Arikidis NS, Skiadopoulos S, Kanavou T, Costaridou L. Assessing heterogeneity of lesion enhancement kinetics in dynamic contrastenhanced MRI for breast cancer diagnosis. Br J Radiol. 2010;83:296\u2013309.","journal-title":"Br J Radiol"},{"issue":"3","key":"239_CR23","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1097\/RLI.0000000000000222","volume":"51","author":"MD Pickles","year":"2016","unstructured":"Pickles MD, Lowry M, Gibbs P. Pretreatment prognostic value of dynamic contrast-enhanced magnetic resonance imaging vascular, texture, shape, and size parameters compared with traditional survival indicators obtained from locally advanced breast cancer patients. Invest Radiol. 2016;51(3):177\u201385.","journal-title":"Invest Radiol"},{"issue":"6","key":"239_CR24","doi-asserted-by":"crossref","first-page":"809","DOI":"10.1016\/j.mri.2016.03.001","volume":"34","author":"RF Chang","year":"2016","unstructured":"Chang RF, Chen HH, Chang YC, Huang CS, Chen JH, Lo CM. Quantification of breast tumor heterogeneity for ER status, HER2 status, and TN molecular subtype evaluation on DCE-MRI. Magn Reson Imaging. 2016;34(6):809\u201319.","journal-title":"Magn Reson Imaging"},{"issue":"5","key":"239_CR25","doi-asserted-by":"crossref","first-page":"1398","DOI":"10.1002\/jmri.24890","volume":"42","author":"EJ Sutton","year":"2015","unstructured":"Sutton EJ, JH O, Dashevsky BZ, Veeraraghavan H, Apte AP, Thakur SB, Deasy JO, Morris EA. Breast cancer subtype intertumor heterogeneity: MRI-based features predict results of a genomic assay. J Magn Reson Imaging. 2015;42(5):1398\u2013406.","journal-title":"J Magn Reson Imaging"},{"key":"239_CR26","doi-asserted-by":"crossref","first-page":"2425","DOI":"10.1007\/s00330-003-2000-y","volume":"13","author":"BK Szabo","year":"2003","unstructured":"Szabo BK, Aspelin P, Kristoffersen WM, Tot T, Bone B. Invasive breast cancer: correlation of dynamic MR features with prognostic factors. Eur Radiol. 2003;13:2425\u201335.","journal-title":"Eur Radiol"},{"issue":"1","key":"239_CR27","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1002\/jso.23655","volume":"110","author":"FM Knuttel","year":"2014","unstructured":"Knuttel FM, Menezes GL, van den Bosch MA, Gilhuijs KG, Peters NH. Current clinical indications for magnetic resonance imaging of the breast. J Surg Oncol. 2014;110(1):26\u201331. \nhttps:\/\/doi.org\/10.1002\/jso.23655\n\n. Epub 2014 May 26","journal-title":"J Surg Oncol"},{"issue":"6","key":"239_CR28","doi-asserted-by":"crossref","first-page":"1774","DOI":"10.2214\/ajr.184.6.01841774","volume":"184","author":"SC Partridge","year":"2005","unstructured":"Partridge SC, Gibbs JE, Lu Y, Esserman LJ, Tripathy D, Wolverton DS, Rugo HS, Hwang ES, Ewing CA, Hylton NM. MRI measurements of breast tumor volume predict response to neoadjuvant chemotherapy and recurrence-free survival. AJR Am J Roentgenol. 2005;184(6):1774\u201381.","journal-title":"AJR Am J Roentgenol"},{"key":"239_CR29","unstructured":"Ellis P, Schnitt S, Sastre-Garau X, Bussolati G, Tavassoli F, Eusebi V, Peterse J, Mukai K, Tabar L, Jacquemier J, Cornelisse C, Sasco A, Kaaks R, Pisani P, Goldgar D, Devilee P, Cleton-Jansen M, Borresen-Dale A, Van\u00b4t Veer L, Sapino A. WHO Classification of Tumours. In: Tavassoli FA, Devilee P, editors. Pathology and Genetics of Tumours of the Breast and Female Genital Organs. Lyon: IARC Press; 2003."},{"key":"239_CR30","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1111\/j.1365-2559.1991.tb00229.x","volume":"19","author":"CW Elston","year":"1991","unstructured":"Elston CW, Ellis IO. Pathological prognostic factors in breast cancer. The value of histological grade in breast cancer: experience from a large study with long-term follow up. Histopathology. 1991;19:403\u201310.","journal-title":"Histopathology"},{"issue":"10","key":"239_CR31","doi-asserted-by":"crossref","first-page":"1217","DOI":"10.1016\/j.acra.2011.06.007","volume":"18","author":"M Siki\u00f6","year":"2011","unstructured":"Siki\u00f6 M, Holli KK, Harriso LC, Ruottinen H, Rossi M, Helminen M, Ryymin P, Paalavuo R, Soimakallio S, Eskola HJ, Elovaara I, Dastidar P. Parkinson\u2019s Disease Interhemispheric Textural Differences in MR Images. Acad Radiol. 2011;18(10):1217\u201324.","journal-title":"Acad Radiol"},{"key":"239_CR32","doi-asserted-by":"crossref","first-page":"1061","DOI":"10.1016\/j.crad.2004.07.008","volume":"59","author":"G Castellano","year":"2004","unstructured":"Castellano G, Bonilha L, Li LM, Cendes F. Texture analysis of medical images. Clin Radiol. 2004;59:1061\u20139.","journal-title":"Clin Radiol"},{"key":"239_CR33","volume-title":"Texture analysis for magnetic resonance imaging. Med4publishing, Prague","year":"2006","unstructured":"Hajek M, Dezortova M, Materka A, Lerski R (ed) (2006). Texture analysis for magnetic resonance imaging. Med4publishing, Prague."},{"key":"239_CR34","unstructured":"Rasband WS. ImageJ, U. S. National Institutes of Health, Bethesda, Maryland, USA, http:\/\/imagej.nih.gov\/ij\/, 1997-2014."},{"issue":"2","key":"239_CR35","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1677\/erc.0.0070095","volume":"7","author":"RK Hansen","year":"2000","unstructured":"Hansen RK, Bissell MJ. Tissue architecture and breast cancer: the role of extracellular matrix and steroid hormones. Endocr Relat Cancer. 2000;7(2):95\u2013113.","journal-title":"Endocr Relat Cancer"},{"key":"239_CR36","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1186\/bcr777","volume":"6","author":"FJ Esteva","year":"2004","unstructured":"Esteva FJ, Hortobagyi GN. Prognostic molecular markers in early breast cancer. Breast Cancer Res. 2004;6:109\u201318.","journal-title":"Breast Cancer Res"},{"issue":"2","key":"239_CR37","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.acra.2009.08.012.","volume":"17","author":"K Holli","year":"2010","unstructured":"Holli K, L\u00e4\u00e4peri AL, Harrison L, Luukkaala T, Toivonen T, Ryymin P, Dastidar P, Soimakallio S, Eskola H. Characterization of breast cancer types by texture analysis of magnetic resonance images. Acad Radiol. 2010;17(2):135\u201341. \nhttps:\/\/doi.org\/10.1016\/j.acra.2009.08.012.","journal-title":"Acad Radiol"},{"key":"239_CR38","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1186\/s12885-015-1563-8","volume":"15","author":"N Michoux","year":"2015","unstructured":"Michoux N, Van den Broeck S, Lacoste L, Fellah L, Galant C, Berli\u00e8re M, Leconte I. Texture analysis on MR images helps predicting non-response to NAC in breast cancer. BMC Cancer 5. 2015;15:574. \nhttps:\/\/doi.org\/10.1186\/s12885-015-1563-8\n\n.","journal-title":"BMC Cancer 5"},{"issue":"8","key":"239_CR39","doi-asserted-by":"publisher","first-page":"887","DOI":"10.1002\/nbm.3132.","volume":"27","author":"JR Teruel","year":"2014","unstructured":"Teruel JR, Heldahl MG, Goa PE, Pickles M, Lundgren S, Bathen TF, Gibbs P. Dynamic contrast-enhanced MRI texture analysis for pretreatment prediction of clinical and pathological response to neoadjuvant chemotherapy in patients with locally advanced breast cancer. NMR Biomed. 2014;27(8):887\u201396. \nhttps:\/\/doi.org\/10.1002\/nbm.3132.","journal-title":"NMR Biomed"},{"issue":"5","key":"239_CR40","doi-asserted-by":"publisher","first-page":"591","DOI":"10.3348\/kjr.2014.15.5.591.","volume":"15","author":"BL Yun","year":"2014","unstructured":"Yun BL, Cho N, Li M, Jang MH, Park SY, Kang HC, Kim B, Song IC, Moon WK. Intratumoral heterogeneity of breast cancer xenograft models: texture analysis of diffusion-weighted MR imaging. Korean J Radiol. 2014;15(5):591\u2013604. \nhttps:\/\/doi.org\/10.3348\/kjr.2014.15.5.591.","journal-title":"Korean J Radiol"},{"issue":"1","key":"239_CR41","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1002\/jmri.23971","volume":"38","author":"A Ahmed","year":"2013","unstructured":"Ahmed A, Gibbs P, Pickles M, Turnbull L. Texture analysis in assessment and prediction of chemotherapy response in breast cancer. J Magn Reson Imaging. 2013;38(1):89\u2013101.","journal-title":"J Magn Reson Imaging"},{"issue":"3","key":"239_CR42","doi-asserted-by":"crossref","first-page":"680","DOI":"10.1148\/radiol.09090838","volume":"254","author":"N Bhooshan","year":"2010","unstructured":"Bhooshan N, Giger ML, Jansen SA, Li H, Lan L, Newstead GM. Cancerous breast lesions on dynamic contrast-enhanced MR images: computerized characterization for image-based prognostic markers. Radiology. 2010;254(3):680\u201390.","journal-title":"Radiology"},{"issue":"18","key":"239_CR43","doi-asserted-by":"crossref","first-page":"5995","DOI":"10.1088\/0031-9155\/56\/18\/014","volume":"56","author":"N Bhooshan","year":"2011","unstructured":"Bhooshan N, Giger M, Edwards D, Yuan Y, Jansen S, Li H, Lan L, Sattar H, Newstead G. Computerized three-class classification of MRI-based prognostic markers for breast cancer. Phys Med Biol. 2011;56(18):5995\u20136008.","journal-title":"Phys Med Biol"}],"container-title":["BMC Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-017-0239-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,12,29]],"date-time":"2017-12-29T00:44:51Z","timestamp":1514508291000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedimaging.biomedcentral.com\/articles\/10.1186\/s12880-017-0239-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12]]},"references-count":43,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017,12]]}},"alternative-id":["239"],"URL":"https:\/\/doi.org\/10.1186\/s12880-017-0239-z","relation":{},"ISSN":["1471-2342"],"issn-type":[{"value":"1471-2342","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,12]]},"article-number":"69"}}