{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T08:26:46Z","timestamp":1765268806602},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"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>Introduction<\/jats:title>\n                <jats:p>Accurately assessing axillary lymph node (ALN) status in breast cancer is vital for clinical decision making and prognosis. The purpose of this study was to evaluate the predictive value of sentinel lymph node (SLN) mapped by multidetector-row computed tomography lymphography (MDCT-LG) for ALN metastasis in breast cancer patients.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>112 patients with breast cancer who underwent preoperative MDCT-LG examination were included in the study. Long-axis diameter, short-axis diameter, ratio of long-\/short-axis and cortical thickness were measured. Logistic regression analysis was performed to evaluate independent predictors associated with ALN metastasis. The prediction of ALN metastasis was determined with related variables of SLN using receiver operating characteristic (ROC) curve\u00a0analysis.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Among the 112 cases, 35 (30.8%) cases had ALN metastasis. The cortical thickness in metastatic ALN group\u00a0was significantly thicker than that in non-metastatic ALN group\u00a0(4.0\u2009\u00b1\u20091.2\u00a0mm vs. 2.4\u2009\u00b1\u20090.7\u00a0mm, <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001). Multi-logistic regression analysis indicated that cortical thickness of\u2009&gt;\u20093.3\u00a0mm (OR 24.53, 95% CI 6.58\u201391.48, <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001) had higher risk for ALN metastasis. The best sensitivity, specificity, negative predictive value(NPV) and AUC of MDCT-LG for ALN metastasis prediction based on the single variable of cortical thickness were 76.2%, 88.5%, 90.2% and 0.872 (95% CI 0.773\u20130.939, <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.001), respectively.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>ALN status can be predicted using the imaging features of SLN which was mapped on MDCT-LG in breast cancer patients. Besides, it may be helpful to select true negative lymph nodes in patients with early breast cancer, and SLN biopsy can be avoided in clinically and radiographically negative axilla.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12880-021-00722-0","type":"journal-article","created":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T13:04:11Z","timestamp":1639573451000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Imaging features of sentinel lymph node mapped by multidetector-row computed tomography lymphography in predicting axillary lymph node metastasis"],"prefix":"10.1186","volume":"21","author":[{"given":"Xiaochan","family":"Ou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianbin","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaoming","family":"Qu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengmei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baiye","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xirui","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanyu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haitao","family":"Wen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andong","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinzi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xia","family":"Zou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhibo","family":"Wen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,12,15]]},"reference":[{"issue":"8","key":"722_CR1","doi-asserted-by":"publisher","first-page":"e1027","DOI":"10.1016\/S2214-109X(20)30215-1","volume":"8","author":"E Heer","year":"2020","unstructured":"Heer E, et al. Global burden and trends in premenopausal and postmenopausal breast cancer: a population-based study. Lancet Glob Health. 2020;8(8):e1027\u201337.","journal-title":"Lancet Glob Health"},{"issue":"3","key":"722_CR2","doi-asserted-by":"publisher","first-page":"500","DOI":"10.1148\/radiol.2020192534","volume":"295","author":"JM Chang","year":"2020","unstructured":"Chang JM, et al. Axillary nodal evaluation in breast cancer: state of the art. Radiology. 2020;295(3):500\u201315.","journal-title":"Radiology"},{"issue":"3","key":"722_CR3","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1016\/j.soc.2014.03.007","volume":"23","author":"AS Caudle","year":"2014","unstructured":"Caudle AS, Cupp JA, Kuerer HM. Management of axillary disease. Surg Oncol Clin N Am. 2014;23(3):473\u201386.","journal-title":"Surg Oncol Clin N Am"},{"issue":"4","key":"722_CR4","doi-asserted-by":"publisher","first-page":"433","DOI":"10.6004\/jnccn.2017.0044","volume":"15","author":"WJ Gradishar","year":"2017","unstructured":"Gradishar WJ, et al. NCCN guidelines insights: breast cancer, version 1.2017. J Natl Compr Canc Netw. 2017;15(4):433\u201351.","journal-title":"J Natl Compr Canc Netw"},{"issue":"1","key":"722_CR5","doi-asserted-by":"publisher","first-page":"000","DOI":"10.1097\/MLR.0000000000000832","volume":"56","author":"TWF Yen","year":"2018","unstructured":"Yen TWF, et al. Prevalence and consequences of axillary lymph node dissection in the era of sentinel lymph node biopsy for breast cancer. Med Care. 2018;56(1):000\u2013000.","journal-title":"Med Care"},{"issue":"4","key":"722_CR6","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1016\/j.crad.2018.01.003","volume":"73","author":"S Lowes","year":"2018","unstructured":"Lowes S, et al. Evolving imaging techniques for staging axillary lymph nodes in breast cancer. Clin Radiol. 2018;73(4):396\u2013409.","journal-title":"Clin Radiol"},{"issue":"1","key":"722_CR7","doi-asserted-by":"publisher","first-page":"63","DOI":"10.7863\/jum.2004.23.1.63","volume":"23","author":"MK Shetty","year":"2004","unstructured":"Shetty MK, Carpenter WS. Sonographic evaluation of isolated abnormal axillary lymph nodes identified on mammograms. J Ultrasound Med. 2004;23(1):63\u201371.","journal-title":"J Ultrasound Med"},{"issue":"6","key":"722_CR8","doi-asserted-by":"publisher","first-page":"1825","DOI":"10.1245\/s10434-011-2200-7","volume":"19","author":"SA Valente","year":"2012","unstructured":"Valente SA, et al. Accuracy of predicting axillary lymph node positivity by physical examination, mammography, ultrasonography, and magnetic resonance imaging. Ann Surg Oncol. 2012;19(6):1825\u201330.","journal-title":"Ann Surg Oncol"},{"issue":"3","key":"722_CR9","doi-asserted-by":"publisher","first-page":"642","DOI":"10.1148\/radiol.13121606","volume":"268","author":"RJ Hooley","year":"2013","unstructured":"Hooley RJ, Scoutt LM, Philpotts LE. Breast ultrasonography: state of the art. Radiology. 2013;268(3):642\u201359.","journal-title":"Radiology"},{"issue":"6","key":"722_CR10","doi-asserted-by":"publisher","first-page":"1108","DOI":"10.1016\/j.breast.2013.09.002","volume":"22","author":"RJ Schipper","year":"2013","unstructured":"Schipper RJ, et al. Axillary ultrasound for preoperative nodal staging in breast cancer patients: is it of added value? The Breast. 2013;22(6):1108\u201313.","journal-title":"The Breast"},{"issue":"3","key":"722_CR11","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1002\/ssu.1038","volume":"20","author":"BJ Grube","year":"2001","unstructured":"Grube BJ, Giuliano AE. Observation of the breast cancer patient with a tumor-positive sentinel node: implications of the ACOSOG Z0011 trial. Semin Surg Oncol. 2001;20(3):230\u20137.","journal-title":"Semin Surg Oncol"},{"issue":"9","key":"722_CR12","doi-asserted-by":"publisher","first-page":"3426","DOI":"10.1245\/s10434-020-08388-8","volume":"27","author":"RJ Louie","year":"2020","unstructured":"Louie RJ, et al. Trends in surgical axillary management in early stage breast cancer in elderly women: continued over-treatment. Ann Surg Oncol. 2020;27(9):3426\u201333.","journal-title":"Ann Surg Oncol"},{"issue":"5","key":"722_CR13","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1016\/j.crad.2017.11.023","volume":"73","author":"MG Wallis","year":"2018","unstructured":"Wallis MG, Kilburn-Toppin F, Taylor-Phillips S. Does preoperative axillary staging lead to overtreatment of women with screen-detected breast cancer? Clin Radiol. 2018;73(5):467\u201372.","journal-title":"Clin Radiol"},{"issue":"12","key":"722_CR14","doi-asserted-by":"publisher","first-page":"2288","DOI":"10.1016\/j.ejrad.2016.10.030","volume":"85","author":"TJA van Nijnatten","year":"2016","unstructured":"van Nijnatten TJA, et al. Routine use of standard breast MRI compared to axillary ultrasound for differentiating between no, limited and advanced axillary nodal disease in newly diagnosed breast cancer patients. Eur J Radiol. 2016;85(12):2288\u201394.","journal-title":"Eur J Radiol"},{"issue":"8","key":"722_CR15","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1111\/1759-7714.12774","volume":"9","author":"P Zhou","year":"2018","unstructured":"Zhou P, et al. Axillary lymph node metastasis detection by magnetic resonance imaging in patients with breast cancer: a meta-analysis. Thoracic Cancer. 2018;9(8):989\u201396.","journal-title":"Thoracic Cancer"},{"issue":"3","key":"722_CR16","doi-asserted-by":"publisher","first-page":"520","DOI":"10.1148\/radiol.2019182947","volume":"292","author":"RM Mann","year":"2019","unstructured":"Mann RM, Cho N, Moy L. Breast MRI: state of the art. Radiology. 2019;292(3):520\u201336.","journal-title":"Radiology"},{"issue":"1","key":"722_CR17","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1186\/s40880-018-0269-0","volume":"37","author":"Y Li","year":"2018","unstructured":"Li Y, et al. Computed tomography and magnetic resonance imaging evaluation of pelvic lymph node metastasis in bladder cancer. Chin J Cancer. 2018;37(1):3.","journal-title":"Chin J Cancer"},{"issue":"9","key":"722_CR18","doi-asserted-by":"publisher","first-page":"4096","DOI":"10.1007\/s00261-021-03057-0","volume":"46","author":"EK Hong","year":"2021","unstructured":"Hong EK, et al. CT for lymph node staging of colon cancer: not only size but also location and number of lymph node count. Abdominal Radiology. 2021;46(9):4096\u2013105.","journal-title":"Abdominal Radiology"},{"key":"722_CR19","doi-asserted-by":"publisher","first-page":"1733","DOI":"10.2147\/CMAR.S244034","volume":"12","author":"J Chen","year":"2020","unstructured":"Chen J, et al. Evaluation of contrast-enhanced computed tomography (CT) and magnetic resonance imaging (MRI) in the detection of retropharyngeal lymph node metastases in nasopharyngeal carcinoma patients. Cancer Manag Res. 2020;12:1733\u20139.","journal-title":"Cancer Manag Res"},{"issue":"4","key":"722_CR20","doi-asserted-by":"publisher","first-page":"1069","DOI":"10.2214\/ajr.176.4.1761069","volume":"176","author":"T Uematsu","year":"2001","unstructured":"Uematsu T, Sano M, Homma K. In vitro high-resolution helical CT of small axillary lymph nodes in patients with breast cancer: correlation of CT and histology. AJR Am J Roentgenol. 2001;176(4):1069\u201374.","journal-title":"AJR Am J Roentgenol"},{"issue":"2","key":"722_CR21","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1200\/JCO.2004.04.148","volume":"22","author":"RL Wahl","year":"2004","unstructured":"Wahl RL, et al. Prospective multicenter study of axillary nodal staging by positron emission tomography in breast cancer: a report of the staging breast cancer with PET study group. J Clin Oncol. 2004;22(2):277\u201385.","journal-title":"J Clin Oncol"},{"key":"722_CR22","doi-asserted-by":"publisher","first-page":"666","DOI":"10.3389\/fonc.2018.00666","volume":"8","author":"C Chen","year":"2019","unstructured":"Chen C, et al. Predictive value of preoperative multidetector-row computed tomography for axillary lymph nodes metastasis in patients with breast cancer. Front Oncol. 2019;8:666.","journal-title":"Front Oncol"},{"issue":"6","key":"722_CR23","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1097\/01.rli.0000164153.41638.32","volume":"40","author":"K Suga","year":"2005","unstructured":"Suga K, et al. Breast sentinel lymph node navigation with three-dimensional interstitial multidetector-row computed tomographic lymphography. Invest Radiol. 2005;40(6):336\u201342.","journal-title":"Invest Radiol"},{"issue":"6","key":"722_CR24","doi-asserted-by":"publisher","first-page":"538","DOI":"10.1007\/s10434-001-0538-y","volume":"8","author":"OE Nieweg","year":"2001","unstructured":"Nieweg OE, Tanis PJ, Kroon BBR. The definition of a sentinel node. Ann Surg Oncol. 2001;8(6):538\u201341.","journal-title":"Ann Surg Oncol"},{"issue":"2","key":"722_CR25","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1007\/s13244-014-0367-8","volume":"6","author":"V Dialani","year":"2015","unstructured":"Dialani V, James DF, Slanetz PJ. A practical approach to imaging the axilla. Insights Imaging. 2015;6(2):217\u201329.","journal-title":"Insights Imaging"},{"issue":"3","key":"722_CR26","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1007\/s10147-013-0582-1","volume":"19","author":"M Yasuta","year":"2014","unstructured":"Yasuta M, et al. Usefulness of CT-lymphography in sentinel lymph node navigation. Int J Clin Oncol. 2014;19(3):557\u201362.","journal-title":"Int J Clin Oncol"},{"issue":"4","key":"722_CR27","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1007\/s12565-018-0441-2","volume":"93","author":"T Fujita","year":"2018","unstructured":"Fujita T, et al. Anatomical classification of breast sentinel lymph nodes using computed tomography-lymphography. Anat Sci Int. 2018;93(4):487\u201394.","journal-title":"Anat Sci Int"},{"issue":"3","key":"722_CR28","doi-asserted-by":"publisher","first-page":"519","DOI":"10.1007\/s12282-015-0597-8","volume":"23","author":"M Nakagawa","year":"2016","unstructured":"Nakagawa M, et al. Preoperative diagnosis of sentinel lymph node (SLN) metastasis using 3D CT lymphography (CTLG). Breast Cancer. 2016;23(3):519\u201324.","journal-title":"Breast Cancer"},{"issue":"1","key":"722_CR29","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/s12194-018-00491-6","volume":"12","author":"H Ashiba","year":"2019","unstructured":"Ashiba H, Nakayama R. Computerized evaluation scheme to detect metastasis in sentinel lymph nodes using contrast-enhanced computed tomography before breast cancer surgery. Radiol Phys Technol. 2019;12(1):55\u201360.","journal-title":"Radiol Phys Technol"},{"issue":"7","key":"722_CR30","doi-asserted-by":"publisher","first-page":"1921","DOI":"10.1148\/rg.2018180056","volume":"38","author":"S Kalli","year":"2018","unstructured":"Kalli S, et al. American Joint Committee on Cancer\u2019s Staging System for Breast Cancer, eighth edition: what the radiologist needs to know. Radiographics. 2018;38(7):1921\u201333.","journal-title":"Radiographics"},{"issue":"1","key":"722_CR31","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1016\/j.asjsur.2018.03.003","volume":"42","author":"N Imai","year":"2019","unstructured":"Imai N, et al. Strategy for the accurate preoperative evaluation of the number of metastatic axillary lymph nodes in breast cancer. Asian J Surg. 2019;42(1):228\u201334.","journal-title":"Asian J Surg"},{"issue":"6","key":"722_CR32","doi-asserted-by":"publisher","first-page":"676","DOI":"10.1016\/j.asjsur.2019.09.001","volume":"43","author":"N Nakai","year":"2020","unstructured":"Nakai N, et al. Diagnostic value of computed tomography (CT) and positron emission tomography (PET) for paraaortic lymph node metastasis from left-sided colon and rectal cancer. Asian J Surg. 2020;43(6):676\u201382.","journal-title":"Asian J Surg"},{"key":"722_CR33","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/j.ejca.2016.03.081","volume":"62","author":"LH Schwartz","year":"2016","unstructured":"Schwartz LH, et al. RECIST 1.1\u2014update and clarification: From the RECIST committee. Eur J Cancer. 2016;62:132\u20137.","journal-title":"Eur J Cancer"},{"issue":"13","key":"722_CR34","doi-asserted-by":"publisher","first-page":"3062","DOI":"10.7150\/jca.30502","volume":"10","author":"Y Li","year":"2019","unstructured":"Li Y, et al. Risk factors analysis of pathologically confirmed cervical lymph nodes metastasis in oral squamous cell carcinoma patients with clinically negative cervical lymph node: results from a cancer center of central China. J Cancer. 2019;10(13):3062\u20139.","journal-title":"J Cancer"},{"issue":"24","key":"722_CR35","doi-asserted-by":"publisher","first-page":"1632","DOI":"10.21037\/atm-20-4991","volume":"8","author":"B Li","year":"2020","unstructured":"Li B, et al. The value of enhanced CT scanning for predicting lymph node metastasis along the right recurrent laryngeal nerve in esophageal squamous cell carcinoma. Annals of translational medicine. 2020;8(24):1632.","journal-title":"Annals of translational medicine"},{"key":"722_CR36","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1159\/000454923","volume":"3","author":"K Kubota","year":"2017","unstructured":"Kubota K, et al. Accuracy of multidetector-row computed tomography in the preoperative diagnosis of lymph node metastasis in patients with gastric cancer. Gastrointestinal tumors. 2017;3:163\u201370.","journal-title":"Gastrointestinal tumors"},{"issue":"2","key":"722_CR37","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1002\/hed.23277","volume":"36","author":"D Lesnik","year":"2014","unstructured":"Lesnik D, et al. Papillary thyroid carcinoma nodal surgery directed by a preoperative radiographic map utilizing CT scan and ultrasound in all primary and reoperative patients. Head Neck. 2014;36(2):191\u2013202.","journal-title":"Head Neck"},{"issue":"1","key":"722_CR38","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1007\/s00330-017-4935-4","volume":"28","author":"J Liu","year":"2018","unstructured":"Liu J, et al. Improving CT detection sensitivity for nodal metastases in oesophageal cancer with combination of smaller size and lymph node axial ratio. Eur Radiol. 2018;28(1):188\u201395.","journal-title":"Eur Radiol"},{"issue":"6","key":"722_CR39","doi-asserted-by":"publisher","first-page":"1731","DOI":"10.2214\/AJR.09.3122","volume":"193","author":"N Cho","year":"2009","unstructured":"Cho N, et al. Preoperative sonographic classification of axillary lymph nodes in patients with breast cancer: node-to-node correlation with surgical histology and sentinel node biopsy results. Am J Roentgenol. 2009;193(6):1731\u20137.","journal-title":"Am J Roentgenol"},{"issue":"2","key":"722_CR40","first-page":"114","volume":"58","author":"G Manca","year":"2014","unstructured":"Manca G, et al. Sentinel lymph node mapping in breast cancer: a critical reappraisal of the internal mammary chain issue. Q J Nucl Med Mol Imaging. 2014;58(2):114\u201326.","journal-title":"Q J Nucl Med Mol Imaging"},{"issue":"1092","key":"722_CR41","doi-asserted-by":"publisher","first-page":"20180507","DOI":"10.1259\/bjr.20180507","volume":"91","author":"WH Kim","year":"2018","unstructured":"Kim WH, et al. Preoperative axillary nodal staging with ultrasound and magnetic resonance imaging: predictive values of quantitative and semantic features. Br J Radiol. 2018;91(1092):20180507.","journal-title":"Br J Radiol"},{"issue":"2","key":"722_CR42","doi-asserted-by":"publisher","first-page":"e231","DOI":"10.1634\/theoncologist.2019-0427","volume":"25","author":"MA Marino","year":"2020","unstructured":"Marino MA, et al. Lymph node imaging in patients with primary breast cancer: concurrent diagnostic tools. Oncologist. 2020;25(2):e231\u201342.","journal-title":"Oncologist"},{"issue":"2","key":"722_CR43","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1007\/s13244-015-0404-2","volume":"6","author":"VJ Kuijs","year":"2015","unstructured":"Kuijs VJ, et al. The role of MRI in axillary lymph node imaging in breast cancer patients: a systematic review. Insights Imaging. 2015;6(2):203\u201315.","journal-title":"Insights Imaging"},{"issue":"2","key":"722_CR44","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1007\/s10549-019-05243-7","volume":"176","author":"A Weiss","year":"2019","unstructured":"Weiss A, et al. Evolution in practice patterns of axillary management following mastectomy in patients with 1\u20132 positive sentinel nodes. Breast Cancer Res Treat. 2019;176(2):435\u201344.","journal-title":"Breast Cancer Res Treat"},{"issue":"6","key":"722_CR45","doi-asserted-by":"publisher","first-page":"500","DOI":"10.1016\/S1470-2045(13)70076-7","volume":"14","author":"T DiSipio","year":"2013","unstructured":"DiSipio T, et al. Incidence of unilateral arm lymphoedema after breast cancer: a systematic review and meta-analysis. Lancet Oncol. 2013;14(6):500\u201315.","journal-title":"Lancet Oncol"},{"issue":"1","key":"722_CR46","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10549-019-05299-5","volume":"177","author":"F Jozsa","year":"2019","unstructured":"Jozsa F, et al. Is sentinel node biopsy necessary in the radiologically negative axilla in breast cancer? Breast Cancer Res Treat. 2019;177(1):1\u20134.","journal-title":"Breast Cancer Res Treat"},{"issue":"3","key":"722_CR47","doi-asserted-by":"publisher","first-page":"724","DOI":"10.1245\/s10434-019-08154-5","volume":"27","author":"CS Fisher","year":"2020","unstructured":"Fisher CS, et al. The Landmark Series: Axillary Management in Breast Cancer. Ann Surg Oncol. 2020;27(3):724\u20139.","journal-title":"Ann Surg Oncol"},{"issue":"3","key":"722_CR48","doi-asserted-by":"publisher","first-page":"549","DOI":"10.1109\/TCBB.2015.2462370","volume":"13","author":"C Liang","year":"2016","unstructured":"Liang C, Li Y, Luo J. A novel method to detect functional microRNA regulatory modules by bicliques merging. IEEE\/ACM Trans Comput Biol Bioinform. 2016;13(3):549\u201356.","journal-title":"IEEE\/ACM Trans Comput Biol Bioinform"},{"key":"722_CR49","doi-asserted-by":"crossref","unstructured":"Versaci M, Calcagno S, Morabito FC (2015) Image contrast enhancement by distances among points in fuzzy hyper-cubes. In: IEEE international conference. Springer International Publishing, Cham","DOI":"10.1007\/978-3-319-23117-4_43"}],"container-title":["BMC Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-021-00722-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12880-021-00722-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-021-00722-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T07:50:08Z","timestamp":1722930608000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcmedimaging.biomedcentral.com\/articles\/10.1186\/s12880-021-00722-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,15]]},"references-count":49,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2021,12]]}},"alternative-id":["722"],"URL":"https:\/\/doi.org\/10.1186\/s12880-021-00722-0","relation":{},"ISSN":["1471-2342"],"issn-type":[{"type":"electronic","value":"1471-2342"}],"subject":[],"published":{"date-parts":[[2021,12,15]]},"assertion":[{"value":"30 October 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 November 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 December 2021","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 was carried out in accordance with the guidelines of the Declaration of HelsinkiThis retrospective and it was approved by the local institutional ethics committee (approval number: 2020-JS-026-01), and the requirement of obtaining informed consent was waived.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"The consent of all authors has been obtained.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"No actual or potential conflict of interest exists.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"193"}}