{"id":103,"date":"2015-05-12T17:13:47","date_gmt":"2015-05-12T08:13:47","guid":{"rendered":"http:\/\/imgcom.jsrt.or.jp\/rocGroup\/?page_id=103"},"modified":"2017-10-31T11:33:07","modified_gmt":"2017-10-31T02:33:07","slug":"studies-that-have-used-our-roc-software","status":"publish","type":"page","link":"http:\/\/imgcom.jsrt.or.jp\/rocGroup\/publications\/studies-that-have-used-our-roc-software\/","title":{"rendered":"Studies that have used our ROC software"},"content":{"rendered":"<p>Some Papers appear more than once because they belong to multiple classifications<\/p>\n<div class=\"gline\">ROCKIT<\/div>\n<p><em>Reference<\/em><\/p>\n<ul>\n<li>Metz CE, Herman BA, Roe CA. Statistical comparison of two ROC curve estimates obtained from partially-paired datasets. Med Decis Making 1998; 18:110-121.<br \/>\nComments:Uses ROCKIT to compare partially paired datasets.<\/li>\n<li>Worling JR, Curwen T. Adolescent sexual offender recidivism: success of specialized treatment and implications for risk prediction. Child Abuse Negl 2000; 24:965-982.<br \/>\nComments:Uses ROCKIT to compare partially paired datasets.<\/li>\n<li>Worling JR. The Estimate of Risk of Adolescent Sexual Offense Recidivism (ERASOR): preliminary psychometric data. Sex Abuse 2004; 16:235-254.<br \/>\nComments:Uses ROCKIT to compare partially paired datasets.<\/li>\n<li>Drukker K, Giger ML, Metz CE, \u2018Robustness of a computerized breast lesion detection and classification system across different ultrasound acquisition platforms\u2019, Radiology, 237: 834-840 (2005)<\/li>\n<li>Weijie Chen, Maryellen L. Giger, Ulrich Bick, and Gillian M. Newstead, &#8220;Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI&#8221; Medical Physics 33:2878-2887 (2006)<\/li>\n<\/ul>\n<div class=\"gline\">LABMRMC<\/div>\n<p><em>Reference<\/em><\/p>\n<ul>\n<li>Jiang Y, Nishikawa RM, Schmidt RA, Metz CE, Giger ML, Doi K. Improving breast cancer diagnosis with computer-aided diagnosis. Academic Radiology 6:22-33, 1999.<br \/>\nComments:Makes use of both LABMRMC and LABROC4<\/li>\n<li>Shiraishi J, Abe H, Englemann R, Aoyama M, MacMahon H, Doi K: Computer-aided diagnosis for distinction between benign and malignant solitary pulmonary nodules in chest radiographs: ROC analysis of radiologists&#8217; performance. Radiology (in press) 2003.<\/li>\n<li>Shiraishi J, Abe H, Engelmann R, Doi K. Effect of high sensitivity in a computerized scheme for detecting extremely subtle solitary pulmonary nodules. in chest radiographs: Observer performance study. Academic Radiology 2003;10:1302-1311.<\/li>\n<li>Li F, Aoyama M, Shiraishi J, Abe H, Li Q, Suzuki K, Engelmann R, Sone S, MacMahon H, Doi K. Radiologists&#8217; performance for differentiating benign from malignant lung nodules on high-resolution CT using computer-estimated likelihood of malignancy. American Journal of Roentgenology 2004;183:1209-1215.<\/li>\n<li>Li F, Arimura H, Suzuki K, Shiraishi J, Li Q, Abe H, Engelmann R, Sone S, MacMahon H, Doi K. Computer-aided detection of peripheral lung cancers missed at CT: ROC analyses without and with localization. Radiology 2005;237:684-690.<\/li>\n<\/ul>\n<p>LABROC4<br \/>\nReference<\/p>\n<ul>\n<li>Jiang Y, Nishikawa RM, Wolverton DE, Metz CE, Giger ML, Schmidt RA, Vyborny CJ, Doi K.: Malignant and benign clustered microcalcifications: automated feature analysis and classification. Radiology 198:671-678, 1996<br \/>\nComments:Uses partial areas (currently not available in ROCKIT)<\/li>\n<li>Armato SG III, Giger ML, MacMahon H: Computerized delineation and analysis of costophrenic angles in digital chest radiographs. Academic Radiology 5: 329-335, 1998.<\/li>\n<li>Gilhuijs KGA, Giger ML, Bick U:  Automated analysis of breast lesions in three dimensions using dynamic magnetic resonance imaging. Medical Physics  25:1647-1654, 1998.<\/li>\n<li>Shiraishi J, Katsuragawa S, Ikezoe J, Matsumoto T, Kobayashi T, Komatsu K, Matsui M, Fujita H, Kodera Y, Doi K: Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists&#8217; detection of pulmonary nodules. AJR 174:71-74, 2000.<\/li>\n<li>Huo Z, Giger ML, Vyborny CJ:  Computerized analysis of multiple-mammographic views:  potential usefulness of special view mammograms in computer-aided diagnosis. IEEE Transactions on Medical Imaging 20: 1285-1292, 2001.<br \/>\nComments:Uses also CLABROC (now fully included in ROCKIT)<\/li>\n<li>Armato SG III, Li F, Giger ML, MacMahon H, Sone S, Doi K: Lung cancer: Performance of automated lung nodule detection applied to cancers missed in a CT screening program. Radiology 225: 685-692, 2002<\/li>\n<li>Drukker K, Giger ML, Horsch K,  Kupinski MA, Vyborny  CJ and Mendelson EB: Computerized lesion detection on breast ultrasound. MedPhys 29 (7), 1438, (2002)<br \/>\nComments:LABROC4 is currently easier to interface to Matlab than ROCKIT<\/li>\n<li>Huo Z, Giger ML, Vyborny CJ, Metz CE: Effectiveness of CAD in the diagnosis of breast cancer: An observer study on an independent database of mammograms Radiology 224:560-568, 2002.<br \/>\nComments:Uses also CLABROC (now fully included in ROCKIT)<\/li>\n<li>Armato SG III, Altman MB, La Rivi\u00e8re PJ:  Automated detection of lung nodules in CT scans: effect of image reconstruction algorithm. MedPhys 30 (3): 461-472 MAR 2003<\/li>\n<li>Drukker K, Horsch K, Giger ML, \u2018Multi-modality computerized diagnosis of breast lesions using mammography and sonography\u2019, Academic Radiology 12, 970-979, (2005)<\/li>\n<\/ul>\n<div class=\"gline\">PROPROC<\/div>\n<p><em>Reference<\/em><\/p>\n<ul>\n<li>Edwards DC, Kupinski MA, Metz CE, and Nishikawa RM:<br \/>\nMaximum likelihood fitting of FROC curves under an initial-detection-and-candidate-analysis model, Med. Phys. 29, 2861-2870 (2002).<br \/>\nComments:Uses both PROPROC and LABROC4<\/li>\n<li>Abe H, MacMahon H, Engelmann R, Li Q, Shiraishi J, Katsuragawa S, Aoyama M, Ishida T, Ashizawa K, Metz C, Doi K:  Computer-aided diagnosis in chest radiology: results of large-scale observer tests performed at the 1996-2001 RSNA Scientific Assemblies.  RadioGraphics, 23:255-265, 2003.<\/li>\n<li>Edwards DC, Lan L, Metz CE, Giger ML, and Nishikawa RM, Estimating three-class ideal observer decision variables for computerized detection and classification of mammographic mass lesions. Med. Phys. 31, pp. 81-90, 2004<\/li>\n<li>Snoeijs MGJ, Schaefer S, Christiaans MH, et al.<br \/>\nKidney transplantation using elderly non-heart-beating donors: A single-center experience AMERICAN JOURNAL OF TRANSPLANTATION 6 (5): 1066-1071 Part 1 MAY 2006<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Some Papers appear more than once because they belong to multiple classifications ROCKIT Reference Metz CE, Herman BA, Roe CA. Statistical comparison of two ROC curve estimates obtained from partially-paired datasets. Med Decis Making 1998; 18:110-121. Comments:Uses ROCKIT to compare partially paired datasets. Worling JR, Curwen T. Adolescent sexual offender recidivism: success of specialized treatment &hellip; <a href=\"http:\/\/imgcom.jsrt.or.jp\/rocGroup\/publications\/studies-that-have-used-our-roc-software\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Studies that have used our ROC software<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":89,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"http:\/\/imgcom.jsrt.or.jp\/rocGroup\/wp-json\/wp\/v2\/pages\/103"}],"collection":[{"href":"http:\/\/imgcom.jsrt.or.jp\/rocGroup\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/imgcom.jsrt.or.jp\/rocGroup\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/imgcom.jsrt.or.jp\/rocGroup\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/imgcom.jsrt.or.jp\/rocGroup\/wp-json\/wp\/v2\/comments?post=103"}],"version-history":[{"count":4,"href":"http:\/\/imgcom.jsrt.or.jp\/rocGroup\/wp-json\/wp\/v2\/pages\/103\/revisions"}],"predecessor-version":[{"id":139,"href":"http:\/\/imgcom.jsrt.or.jp\/rocGroup\/wp-json\/wp\/v2\/pages\/103\/revisions\/139"}],"up":[{"embeddable":true,"href":"http:\/\/imgcom.jsrt.or.jp\/rocGroup\/wp-json\/wp\/v2\/pages\/89"}],"wp:attachment":[{"href":"http:\/\/imgcom.jsrt.or.jp\/rocGroup\/wp-json\/wp\/v2\/media?parent=103"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}