{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T12:48:54Z","timestamp":1740142134341,"version":"3.37.3"},"reference-count":15,"publisher":"Wiley","license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["The Scientific World Journal"],"published-print":{"date-parts":[[2014]]},"abstract":"<jats:p>The aim of our study was to assess the diagnostic usefulness of the gray level parameters to distinguish osteolytic lesions using radiological images.<jats:italic>Materials and Methods<\/jats:italic>. A retrospective study was carried out. A total of 76 skeletal radiographs of osteolytic metastases and 67 radiographs of multiple myeloma were used. The cases were classified into nonflat (MM1 and OL1) and flat bones (MM2 and OL2). These radiological images were analyzed by using a computerized method. The parameters calculated were mean, standard deviation, and coefficient of variation (MGL, SDGL, and CVGL) based on gray level histogram analysis of a region-of-interest. Diagnostic utility was quantified by measurement of parameters on osteolytic metastases and multiple myeloma, yielding quantification of area under the receiver operating characteristic (ROC) curve (AUC).<jats:italic>Results<\/jats:italic>. Flat bone groups (MM2 and OL2) showed significant differences in mean values of MGL (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\"><mml:mi>P<\/mml:mi><mml:mo>=<\/mml:mo><mml:mn fontstyle=\"italic\">0.048<\/mml:mn><\/mml:math>) and SDGL (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M2\"><mml:mi>P<\/mml:mi><mml:mo>=<\/mml:mo><mml:mn fontstyle=\"italic\">0.003<\/mml:mn><\/mml:math>). Their corresponding values of AUC were 0.758 for MGL and 0.883 for SDGL in flat bones. In nonflat bones these gray level parameters do not show diagnostic ability.<jats:italic>Conclusion<\/jats:italic>. The gray level parameters MGL and SDGL show a good discriminatory diagnostic ability to distinguish between multiple myeloma and lytic metastases in flat bones.<\/jats:p>","DOI":"10.1155\/2014\/264836","type":"journal-article","created":{"date-parts":[[2014,6,25]],"date-time":"2014-06-25T17:02:23Z","timestamp":1403715743000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["A Quantitative Method for the Characterization of Lytic Metastases of the Bone from Radiographic Images"],"prefix":"10.1155","volume":"2014","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4637-6751","authenticated-orcid":true,"given":"Alicia","family":"Baltasar S\u00e1nchez","sequence":"first","affiliation":[{"name":"Medical Imaging Research Laboratory, Department of Physiological Sciences II, Faculty of Medicine, University of Barcelona, C\/ Feixa Llarga s\/n Pavell\u00f3 de Govern, Lab. 41.57, Hospitalet de Llobregat, 08907 Barcelona, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0395-9415","authenticated-orcid":true,"given":"Angel","family":"Gonzalez Sistal","sequence":"additional","affiliation":[{"name":"Medical Imaging Research Laboratory, Department of Physiological Sciences II, Faculty of Medicine, University of Barcelona, C\/ Feixa Llarga s\/n Pavell\u00f3 de Govern, Lab. 41.57, Hospitalet de Llobregat, 08907 Barcelona, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.4065\/80.10.1371"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1007\/s00277-009-0829-0"},{"issue":"1","key":"3","first-page":"53","volume":"45","year":"2001","journal-title":"Quarterly Journal of Nuclear Medicine"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2004.08.181"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1038\/leu.2008.336"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-006-9946-7"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-010-9304-7"},{"issue":"6","key":"8","first-page":"3142","volume":"37","year":"2010","journal-title":"Medical Physics"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1109\/34.56205"},{"year":"2008","key":"10"},{"issue":"2","key":"11","first-page":"115","volume":"24","year":"2010","journal-title":"Journal of Biological Regulators and Homeostatic Agents"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.2967\/jnumed.107.048785"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMra030831"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1038\/sj.bjc.6605546"},{"volume-title":"Advances in medical imaging applied to bone metastases","year":"2011","key":"15"}],"container-title":["The Scientific World Journal"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/tswj\/2014\/264836.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/tswj\/2014\/264836.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/tswj\/2014\/264836.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2016,8,18]],"date-time":"2016-08-18T11:35:03Z","timestamp":1471520103000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/tswj\/2014\/264836\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"references-count":15,"alternative-id":["264836","264836"],"URL":"https:\/\/doi.org\/10.1155\/2014\/264836","relation":{},"ISSN":["2356-6140","1537-744X"],"issn-type":[{"type":"print","value":"2356-6140"},{"type":"electronic","value":"1537-744X"}],"subject":[],"published":{"date-parts":[[2014]]}}}