{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T06:35:14Z","timestamp":1788244514426,"version":"build-2803163510"},"reference-count":20,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2015,8,12]],"date-time":"2015-08-12T00:00:00Z","timestamp":1439337600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Acta Radiol"],"published-print":{"date-parts":[[2016,6]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>In patients with non-small-cell lung carcinoma NSCLC the lymph node staging in the mediastinum is important due to impact on management and prognosis. Computed tomography texture analysis (CTTA) is a postprocessing technique that can evaluate the heterogeneity of marked regions in images.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To evaluate if CTTA can differentiate between malignant and benign lymph nodes in a cohort of patients with suspected lung cancer.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Material and Methods<\/jats:title>\n                    <jats:p>With tissue sampling as reference standard, 46 lymph nodes from 29 patients were analyzed using CTTA. For each lymph node, CTTA was performed using a research software \u201cTexRAD\u201d by drawing a region of interest (ROI) on all available axial contrast-enhanced computed tomography (CT) slices covering the entire volume of the lymph node. Lymph node CTTA comprised image filtration-histogram analysis undertakes two stages: the first step comprised an application of a Laplacian of Gaussian filter to highlight fine to coarse textures within the ROI, followed by a quantification of textures via histogram analysis using mean gray-level intensity from the entire volume of the lymph nodes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>CTTA demonstrated a statistically significant difference between the malignant and the benign lymph nodes ( P\u2009=\u20090.001), and by binary logistic regression we obtained a sensitivity of 53% and specificity of 97% in the test population. The area under the receiver operating curve was 83.4% and reproducibility was excellent.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>CTTA may be helpful in differentiating between malignant and benign lymph nodes in the mediastinum in patients suspected for lung cancer, with a low intra-observer variance.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/0284185115598808","type":"journal-article","created":{"date-parts":[[2015,8,13]],"date-time":"2015-08-13T20:08:56Z","timestamp":1439496536000},"page":"669-676","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":89,"title":["CT texture analysis can help differentiate between malignant and benign lymph nodes in the mediastinum in patients suspected for lung cancer"],"prefix":"10.1177","volume":"57","author":[{"given":"Michael Brun","family":"Andersen","sequence":"first","affiliation":[{"name":"Aarhus University Hospital, Department of Radiology, Aarhus, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefan Walbom","family":"Harders","sequence":"additional","affiliation":[{"name":"Aarhus University Hospital, Department of Radiology, Aarhus, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Balaji","family":"Ganeshan","sequence":"additional","affiliation":[{"name":"University College Hospital, Institute of Nuclear Medicine, London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jesper","family":"Thygesen","sequence":"additional","affiliation":[{"name":"Aarhus University Hospital, Department of Radiology, Aarhus, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hans Henrik","family":"Torp Madsen","sequence":"additional","affiliation":[{"name":"Aarhus University Hospital, Department of Radiology, Aarhus, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Finn","family":"Rasmussen","sequence":"additional","affiliation":[{"name":"Aarhus University Hospital, Department of Radiology, Aarhus, 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