{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,3]],"date-time":"2025-08-03T04:04:03Z","timestamp":1754193843888,"version":"3.38.0"},"reference-count":34,"publisher":"SAGE Publications","issue":"10","license":[{"start":{"date-parts":[[2012,3,21]],"date-time":"2012-03-21T00:00:00Z","timestamp":1332288000000},"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":["SIMULATION"],"published-print":{"date-parts":[[2012,10]]},"abstract":"<jats:p> We present a three-step method to predict prostate cancer (PCa) regions on biopsy tissue samples based on high-confidence, low-resolution PCa regions marked by a pathologist. First, we will apply a texture-analysis technique on a high-magnification optical image to predict PCa regions on an adjacent tissue slice. Second, we will design a prediction model for the same purpose, using matrix-assisted laser desorption\/ionization mass spectrometry (MALDI-MS) tissue-imaging data from the adjacent slice. Finally, we will fuse those two results to obtain the PCa regions that will assist MALDI imaging biomarker identification. Experiment results show that the texture analysis\u2013based prediction is sensitive (87.45%) but less specific (75%), and the prediction based on the MALDI spectra data processing is not sensitive (50.98%) but supremely specific (100%). By combining these two results, an optimized prediction for PCa regions on the adjacent slice can be achieved (sensitivity: 80.39%, specificity: 93.09%). <\/jats:p>","DOI":"10.1177\/0037549712441522","type":"journal-article","created":{"date-parts":[[2012,3,23]],"date-time":"2012-03-23T03:17:29Z","timestamp":1332472649000},"page":"1247-1259","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["Prostate cancer region prediction by fusing results from MALDI spectra\u2013processing and texture analysis"],"prefix":"10.1177","volume":"88","author":[{"given":"Shao-Hui","family":"Chuang","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Old Dominion University, 231 Kaufman Hall, Norfolk, VA, USA"}]},{"given":"Jiang","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Old Dominion University, 231 Kaufman Hall, Norfolk, VA, USA"}]},{"given":"Xiaoyan","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Old Dominion University, 231 Kaufman Hall, Norfolk, VA, USA"}]},{"given":"Ayyappa","family":"Vadlamudi","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Old Dominion University, 231 Kaufman Hall, Norfolk, VA, USA"}]},{"given":"Bo","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, Lincoln University of the Commonwealth of Pennsylvania, Lincoln University, PA, USA"}]},{"given":"Lisa","family":"Cazares","sequence":"additional","affiliation":[{"name":"Department of Microbiology and Molecular Cell Biology, Department of Pathology and Anatomy, Virginia Prostate Center, George L. Wright, Jr, Center for Biomedical Proteomics Eastern Virginia Medical School, Norfolk, VA, USA"}]},{"given":"Julius","family":"Nyalwidhe","sequence":"additional","affiliation":[{"name":"Department of Microbiology and Molecular Cell Biology, Department of Pathology and Anatomy, Virginia Prostate Center, George L. Wright, Jr, Center for Biomedical Proteomics Eastern Virginia Medical School, Norfolk, VA, USA"}]},{"given":"Dean","family":"Troyer","sequence":"additional","affiliation":[{"name":"Department of Microbiology and Molecular Cell Biology, Department of Pathology and Anatomy, Virginia Prostate Center, George L. Wright, Jr, Center for Biomedical Proteomics Eastern Virginia Medical School, Norfolk, VA, USA"}]},{"given":"John","family":"Semmes","sequence":"additional","affiliation":[{"name":"Department of Microbiology and Molecular Cell Biology, Department of Pathology and Anatomy, Virginia Prostate Center, George L. Wright, Jr, Center for Biomedical Proteomics Eastern Virginia Medical School, Norfolk, VA, USA"}]},{"given":"Frederic D","family":"McKenzie","sequence":"additional","affiliation":[{"name":"Department of Modeling, Simulation and Visualization Engineering, Old Dominion University, Norfolk, VA, USA"}]}],"member":"179","published-online":{"date-parts":[[2012,3,21]]},"reference":[{"key":"bibr1-0037549712441522","doi-asserted-by":"publisher","DOI":"10.3322\/CA.2007.0010"},{"journal-title":"Fact sheet on proteomics and cancer","year":"2009","author":"U.S.","key":"bibr2-0037549712441522"},{"key":"bibr3-0037549712441522","doi-asserted-by":"publisher","DOI":"10.1056\/NEJM199104253241702"},{"key":"bibr4-0037549712441522","doi-asserted-by":"publisher","DOI":"10.1002\/prca.200700175"},{"key":"bibr5-0037549712441522","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2006.877531"},{"key":"bibr6-0037549712441522","first-page":"700","author":"Li J","year":"2004","journal-title":"FLAIRS"},{"key":"bibr7-0037549712441522","first-page":"95","volume":"2","author":"Wun-Jae Kim SP","year":"2007","journal-title":"Biomarker Insights"},{"key":"bibr8-0037549712441522","doi-asserted-by":"publisher","DOI":"10.1373\/clinchem.2004.038950"},{"key":"bibr9-0037549712441522","doi-asserted-by":"publisher","DOI":"10.1038\/415530a"},{"key":"bibr10-0037549712441522","doi-asserted-by":"publisher","DOI":"10.1093\/clinchem\/48.8.1147"},{"journal-title":"NACB: Practice Guidelines and Recommendations for Use of Tumor Markers in the Clinic","year":"2006","author":"Duffy MJ","key":"bibr11-0037549712441522"},{"key":"bibr12-0037549712441522","doi-asserted-by":"publisher","DOI":"10.1007\/s10549-008-0263-3"},{"key":"bibr13-0037549712441522","doi-asserted-by":"publisher","DOI":"10.1021\/ac970888i"},{"key":"bibr14-0037549712441522","doi-asserted-by":"publisher","DOI":"10.1016\/j.copbio.2006.06.002"},{"key":"bibr15-0037549712441522","doi-asserted-by":"publisher","DOI":"10.1074\/mcp.R500006-MCP200"},{"key":"bibr16-0037549712441522","doi-asserted-by":"publisher","DOI":"10.1016\/S0002-9440(10)63367-6"},{"key":"bibr17-0037549712441522","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2007.898536"},{"key":"bibr18-0037549712441522","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2009.2012704"},{"key":"bibr19-0037549712441522","doi-asserted-by":"publisher","DOI":"10.1007\/s10470-005-6793-2"},{"key":"bibr20-0037549712441522","doi-asserted-by":"publisher","DOI":"10.1016\/S0146-664X(75)80008-6"},{"key":"bibr21-0037549712441522","doi-asserted-by":"publisher","DOI":"10.1021\/ac990781q"},{"key":"bibr22-0037549712441522","doi-asserted-by":"publisher","DOI":"10.1074\/mcp.R500006-MCP200"},{"key":"bibr23-0037549712441522","unstructured":"Rausch M. 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