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id="facetbox7">Discipline</span></summary><fieldset aria-labelledby="facetbox7"><ul class="c-checkbox"></ul></fieldset></details><details class="c-facetbox"><summary class="c-facetbox__summary"><span id="facetbox8">Reuse License</span></summary><fieldset aria-labelledby="facetbox8"><ul class="c-checkbox"></ul></fieldset></details></div></div><button type="submit" id="facet-form-submit" style="display:none">Search</button></div></aside><main id="maincontent"><section class="o-columnbox1"><header><h2 class="o-columnbox1__heading" aria-live="polite">Scholarly Works (<!-- -->2 results<!-- -->)</h2></header><section class="c-scholworks"><div class="c-scholworks__main-column"><ul class="c-scholworks__tag-list"><li class="c-scholworks__tag-article">Article</li><li class="c-scholworks__tag-peer">Peer Reviewed</li></ul><div><h3 class="c-scholworks__heading"><a href="/uc/item/80s7v9kh"><div class="c-clientmarkup">Multiparametric MRI Texture Analysis in Prediction of Glioma Biomarker Status: Added Value of MR Diffusion</div></a></h3></div><div class="c-authorlist"><ul class="c-authorlist__list"><li class="c-authorlist__begin"><a href="/search/?q=author%3AKihira%2C%20Shingo">Kihira, Shingo</a>; </li><li><a href="/search/?q=author%3ATsankova%2C%20Nadejda">Tsankova, Nadejda</a>; </li><li><a href="/search/?q=author%3ABauer%2C%20Adam">Bauer, Adam</a>; </li><li><a href="/search/?q=author%3ASakai%2C%20Yu">Sakai, Yu</a>; </li><li><a href="/search/?q=author%3AMahmoudi%2C%20Keon">Mahmoudi, Keon</a>; </li><li><a href="/search/?q=author%3AZubizarreta%2C%20Nicole">Zubizarreta, Nicole</a>; </li><li><a href="/search/?q=author%3AHouldsworth%2C%20Jane">Houldsworth, Jane</a>; </li><li><a href="/search/?q=author%3AKhan%2C%20Fahad">Khan, Fahad</a>; </li><li><a href="/search/?q=author%3ASalamon%2C%20Noriko">Salamon, Noriko</a>; </li><li><a href="/search/?q=author%3AHormigo%2C%20Adilia">Hormigo, Adilia</a>; </li><li class="c-authorlist__end"><a href="/search/?q=author%3ANael%2C%20Kambiz">Nael, Kambiz</a> </li></ul></div><div class="c-scholworks__publication"><a href="/uc/ucla_postprints">UCLA Previously Published Works</a> (<!-- -->2021<!-- -->)</div><div class="c-scholworks__abstract"><div class="c-clientmarkup"><h3>Background</h3>Early identification of glioma molecular phenotypes can lead to understanding of patient prognosis and treatment guidance. We aimed to develop a multiparametric MRI texture analysis model using a combination of conventional and diffusion MRI to predict a wide range of biomarkers in patients with glioma.<h3>Methods</h3>In this retrospective study, patients were included if they (1) had diagnosis of gliomas with known <i>IDH1</i>, <i>EGFR</i>, <i>MGMT</i>, <i>ATRX</i>, <i>TP53</i>, and <i>PTEN</i> status from surgical pathology and (2) had preoperative MRI including FLAIR, T1c+ and diffusion for radiomic texture analysis. Statistical analysis included logistic regression and receiver-operating characteristic (ROC) curve analysis to determine the optimal model for predicting glioma biomarkers. A comparative analysis between ROCs (conventional only vs conventional + diffusion) was performed.<h3>Results</h3>From a total of 111 patients included, 91 (82%) were categorized to training and 20 (18%) to test datasets. Constructed cross-validated model using a combination of texture features from conventional and diffusion MRI resulted in overall AUC/accuracy of 1/79% for <i>IDH1</i>, 0.99/80% for <i>ATRX</i>, 0.79/67% for <i>MGMT</i>, and 0.77/66% for <i>EGFR</i>. The addition of diffusion data to conventional MRI features significantly (<i>P</i> < .05) increased predictive performance for <i>IDH1</i>, <i>MGMT</i>, and <i>ATRX</i>. The overall accuracy of the final model in predicting biomarkers in the test group was 80% (<i>IDH1</i>), 70% (<i>ATRX</i>), 70% (<i>MGMT</i>), and 75% (<i>EGFR</i>).<h3>Conclusion</h3>Addition of MR diffusion to conventional MRI features provides added diagnostic value in preoperative determination of IDH1, MGMT, and ATRX in patients with glioma.</div></div><div class="c-scholworks__media"><ul class="c-medialist"></ul></div></div><div class="c-scholworks__ancillary"><a class="c-scholworks__thumbnail" href="/uc/item/80s7v9kh"><img src="/cms-assets/b23628ad5854dae279b2838ac0f928e0755645fc15f27641a47ff9f029b1d00f" alt="Cover page: Multiparametric MRI Texture Analysis in Prediction of Glioma Biomarker Status: Added Value of MR Diffusion"/></a></div></section><section class="c-scholworks"><div class="c-scholworks__main-column"><ul class="c-scholworks__tag-list"><li class="c-scholworks__tag-article">Article</li><li class="c-scholworks__tag-peer">Peer Reviewed</li></ul><div><h3 class="c-scholworks__heading"><a href="/uc/item/0hb1560d"><div class="c-clientmarkup">Anagrelide for platelet-directed cytoreduction in polycythemia vera: Insights into utility and safety outcomes from a large multi-center database.</div></a></h3></div><div class="c-authorlist"><ul class="c-authorlist__list"><li class="c-authorlist__begin"><a href="/search/?q=author%3ARippel%2C%20Noa">Rippel, Noa</a>; </li><li><a href="/search/?q=author%3ATremblay%2C%20Douglas">Tremblay, Douglas</a>; </li><li><a href="/search/?q=author%3AZubizarreta%2C%20Nicole">Zubizarreta, Nicole</a>; </li><li><a href="/search/?q=author%3APodoltsev%2C%20Nikolai">Podoltsev, Nikolai</a>; </li><li><a href="/search/?q=author%3AGotlib%2C%20Jason">Gotlib, Jason</a>; </li><li><a href="/search/?q=author%3AHeaney%2C%20Mark">Heaney, Mark</a>; </li><li><a href="/search/?q=author%3AKuykendall%2C%20Andrew">Kuykendall, Andrew</a>; </li><li><a href="/search/?q=author%3AOConnell%2C%20Casey">OConnell, Casey</a>; </li><li><a href="/search/?q=author%3AShammo%2C%20Jamile">Shammo, Jamile</a>; </li><li><a href="/search/?q=author%3AFleischman%2C%20Angela">Fleischman, Angela</a>; </li><li><a href="/search/?q=author%3AKremyanskaya%2C%20Marina">Kremyanskaya, Marina</a>; </li><li><a href="/search/?q=author%3AHoffman%2C%20Ronald">Hoffman, Ronald</a>; </li><li><a href="/search/?q=author%3AMesa%2C%20Ruben">Mesa, Ruben</a>; </li><li><a href="/search/?q=author%3AYacoub%2C%20Abdulraheem">Yacoub, Abdulraheem</a>; </li><li class="c-authorlist__end"><a href="/search/?q=author%3AMascarenhas%2C%20John">Mascarenhas, John</a> </li></ul></div><div class="c-scholworks__publication"><a href="/uc/uci_postprints">UC Irvine Previously Published Works</a> (<!-- -->2022<!-- -->)</div><div class="c-scholworks__abstract"><div class="c-clientmarkup">Anagrelide (ANA) is a platelet-specific cytoreductive agent utilized in the guideline-directed management of high-risk essential thrombocythemia. In the context of polycythemia vera (PV), ANA is occasionally employed in clinical practice, although data has not consistently demonstrated a benefit to targeting a platelet goal as a therapeutic endpoint. The aim of the current study was to delineate the patterns of ANA use in PV, and to describe outcomes and toxicities. Within a multi-center cohort of 527 patients with PV, 48 received ANA (9 excluded for absent data). 27 (69.2%) had high-risk PV, 10 (25.6%) had prior thrombosis, and none had extreme thrombocytosis, acquired von Willebrand disease, and/or documented resistance to hydroxyurea. While ANA effectively lowered median platelet count, 43.5% of patients had an unresolved thrombocytosis at time of ANA discontinuation. Treatment-emergent adverse events-including headaches, cardiac palpitations and arrhythmias, nausea, vomiting and/or diarrhea-led to ANA discontinuation in 76.9% of patients. Further, three patients experienced arterial thromboses during a median duration of 27.5 months of ANA therapy. In conclusion, this study highlights ANAs restrictive tolerability profile which, compounded by the absence of clear advantage to strict platelet control in PV, suggests the use of ANA should be limited in this setting.</div></div><div class="c-scholworks__media"><ul class="c-medialist"></ul></div></div><div class="c-scholworks__ancillary"><a class="c-scholworks__thumbnail" href="/uc/item/0hb1560d"><img src="/cms-assets/123bdfa64d3987d6cad45612fd7b3cb1c298ced275c335828d8c0433d03151c6" alt="Cover page: Anagrelide for platelet-directed cytoreduction in polycythemia vera: Insights into utility and safety outcomes from a large multi-center database."/></a></div></section></section></main></form></div><div><div class="c-toplink"><a href="javascript:window.scrollTo(0, 0)">Top</a></div><footer class="c-footer"><nav class="c-footer__nav"><ul><li><a href="/">Home</a></li><li><a href="/aboutEschol">About eScholarship</a></li><li><a href="/campuses">Campus Sites</a></li><li><a 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We aimed to develop a multiparametric MRI texture analysis model using a combination of conventional and diffusion MRI to predict a wide range of biomarkers in patients with glioma.<h4>Methods</h4>In this retrospective study, patients were included if they (1) had diagnosis of gliomas with known <i>IDH1</i>, <i>EGFR</i>, <i>MGMT</i>, <i>ATRX</i>, <i>TP53</i>, and <i>PTEN</i> status from surgical pathology and (2) had preoperative MRI including FLAIR, T1c+ and diffusion for radiomic texture analysis. Statistical analysis included logistic regression and receiver-operating characteristic (ROC) curve analysis to determine the optimal model for predicting glioma biomarkers. A comparative analysis between ROCs (conventional only vs conventional + diffusion) was performed.<h4>Results</h4>From a total of 111 patients included, 91 (82%) were categorized to training and 20 (18%) to test datasets. Constructed cross-validated model using a combination of texture features from conventional and diffusion MRI resulted in overall AUC/accuracy of 1/79% for <i>IDH1</i>, 0.99/80% for <i>ATRX</i>, 0.79/67% for <i>MGMT</i>, and 0.77/66% for <i>EGFR</i>. The addition of diffusion data to conventional MRI features significantly (<i>P</i> < .05) increased predictive performance for <i>IDH1</i>, <i>MGMT</i>, and <i>ATRX</i>. The overall accuracy of the final model in predicting biomarkers in the test group was 80% (<i>IDH1</i>), 70% (<i>ATRX</i>), 70% (<i>MGMT</i>), and 75% (<i>EGFR</i>).<h4>Conclusion</h4>Addition of MR diffusion to conventional MRI features provides added diagnostic value in preoperative determination of IDH1, MGMT, and ATRX in patients with glioma.","content_type":"application/pdf","author_hide":null,"authors":[{"name":"Kihira, Shingo","fname":"Shingo","lname":"Kihira"},{"name":"Tsankova, Nadejda","fname":"Nadejda","lname":"Tsankova"},{"name":"Bauer, Adam","fname":"Adam","lname":"Bauer"},{"name":"Sakai, Yu","fname":"Yu","lname":"Sakai"},{"name":"Mahmoudi, Keon","fname":"Keon","lname":"Mahmoudi"},{"name":"Zubizarreta, Nicole","fname":"Nicole","lname":"Zubizarreta"},{"name":"Houldsworth, Jane","fname":"Jane","lname":"Houldsworth"},{"name":"Khan, Fahad","fname":"Fahad","lname":"Khan"},{"name":"Salamon, Noriko","email":"nsalamon@mednet.ucla.edu","fname":"Noriko","lname":"Salamon","ORCID_id":"0000-0002-3520-9467"},{"name":"Hormigo, Adilia","fname":"Adilia","lname":"Hormigo"},{"name":"Nael, Kambiz","email":"kanael@mednet.ucla.edu","fname":"Kambiz","lname":"Nael","ORCID_id":"0000-0002-4194-9488"}],"supp_files":[{"type":"pdf","count":0},{"type":"image","count":0},{"type":"video","count":0},{"type":"audio","count":0},{"type":"zip","count":0},{"type":"other","count":0}],"thumbnail":{"width":121,"height":156,"asset_id":"b23628ad5854dae279b2838ac0f928e0755645fc15f27641a47ff9f029b1d00f","timestamp":1632144030,"image_type":"jpeg"},"pub_year":2021,"genre":"article","rights":null,"peerReviewed":true,"unitInfo":{"displayName":"UCLA Previously Published Works","link_path":"ucla_postprints"}},{"id":"qt0hb1560d","title":"Anagrelide for platelet-directed cytoreduction in polycythemia vera: Insights into utility and safety outcomes from a large multi-center database.","abstract":"Anagrelide (ANA) is a platelet-specific cytoreductive agent utilized in the guideline-directed management of high-risk essential thrombocythemia. In the context of polycythemia vera (PV), ANA is occasionally employed in clinical practice, although data has not consistently demonstrated a benefit to targeting a platelet goal as a therapeutic endpoint. The aim of the current study was to delineate the patterns of ANA use in PV, and to describe outcomes and toxicities. Within a multi-center cohort of 527 patients with PV, 48 received ANA (9 excluded for absent data). 27 (69.2%) had high-risk PV, 10 (25.6%) had prior thrombosis, and none had extreme thrombocytosis, acquired von Willebrand disease, and/or documented resistance to hydroxyurea. While ANA effectively lowered median platelet count, 43.5% of patients had an unresolved thrombocytosis at time of ANA discontinuation. Treatment-emergent adverse events-including headaches, cardiac palpitations and arrhythmias, nausea, vomiting and/or diarrhea-led to ANA discontinuation in 76.9% of patients. Further, three patients experienced arterial thromboses during a median duration of 27.5 months of ANA therapy. In conclusion, this study highlights ANAs restrictive tolerability profile which, compounded by the absence of clear advantage to strict platelet control in PV, suggests the use of ANA should be limited in this setting.","content_type":"application/pdf","author_hide":null,"authors":[{"name":"Rippel, Noa","fname":"Noa","lname":"Rippel"},{"name":"Tremblay, Douglas","fname":"Douglas","lname":"Tremblay"},{"name":"Zubizarreta, Nicole","fname":"Nicole","lname":"Zubizarreta"},{"name":"Podoltsev, Nikolai","fname":"Nikolai","lname":"Podoltsev"},{"name":"Gotlib, Jason","fname":"Jason","lname":"Gotlib"},{"name":"Heaney, Mark","fname":"Mark","lname":"Heaney"},{"name":"Kuykendall, Andrew","fname":"Andrew","lname":"Kuykendall"},{"name":"OConnell, Casey","fname":"Casey","lname":"OConnell"},{"name":"Shammo, Jamile","fname":"Jamile","lname":"Shammo"},{"name":"Fleischman, Angela","email":"agf@uci.edu","fname":"Angela","lname":"Fleischman"},{"name":"Kremyanskaya, Marina","fname":"Marina","lname":"Kremyanskaya"},{"name":"Hoffman, Ronald","fname":"Ronald","lname":"Hoffman"},{"name":"Mesa, Ruben","fname":"Ruben","lname":"Mesa"},{"name":"Yacoub, Abdulraheem","fname":"Abdulraheem","lname":"Yacoub"},{"name":"Mascarenhas, John","fname":"John","lname":"Mascarenhas"}],"supp_files":[{"type":"pdf","count":0},{"type":"image","count":0},{"type":"video","count":0},{"type":"audio","count":0},{"type":"zip","count":0},{"type":"other","count":0}],"thumbnail":{"width":121,"height":150,"asset_id":"123bdfa64d3987d6cad45612fd7b3cb1c298ced275c335828d8c0433d03151c6","timestamp":1732979627,"image_type":"png"},"pub_year":2022,"genre":"article","rights":null,"peerReviewed":true,"unitInfo":{"displayName":"UC Irvine Previously Published Works","link_path":"uci_postprints"}}],"facets":[{"display":"Type of Work","fieldName":"type_of_work","facets":[{"value":"article","count":2,"displayName":"Article"},{"value":"monograph","count":0,"displayName":"Book"},{"value":"dissertation","count":0,"displayName":"Theses"},{"value":"multimedia","count":0,"displayName":"Multimedia"}]},{"display":"Peer Review","fieldName":"peer_reviewed","facets":[{"value":"1","count":2,"displayName":"Peer-reviewed only"}]},{"display":"Supplemental Material","fieldName":"supp_file_types","facets":[{"value":"video","count":0,"displayName":"Video"},{"value":"audio","count":0,"displayName":"Audio"},{"value":"images","count":0,"displayName":"Images"},{"value":"zip","count":0,"displayName":"Zip"},{"value":"other files","count":0,"displayName":"Other files"}]},{"display":"Publication Year","fieldName":"pub_year","range":{"pub_year_start":null,"pub_year_end":null}},{"display":"Campus","fieldName":"campuses","facets":[{"value":"ucb","count":0,"displayName":"UC Berkeley"},{"value":"ucd","count":0,"displayName":"UC Davis"},{"value":"uci","count":1,"displayName":"UC Irvine"},{"value":"ucla","count":1,"displayName":"UCLA"},{"value":"ucm","count":0,"displayName":"UC Merced"},{"value":"ucr","count":0,"displayName":"UC Riverside"},{"value":"ucsd","count":0,"displayName":"UC San Diego"},{"value":"ucsf","count":0,"displayName":"UCSF"},{"value":"ucsb","count":0,"displayName":"UC Santa Barbara"},{"value":"ucsc","count":0,"displayName":"UC Santa Cruz"},{"value":"ucop","count":0,"displayName":"UC Office of the President"},{"value":"lbnl","count":0,"displayName":"Lawrence Berkeley National Laboratory"},{"value":"anrcs","count":0,"displayName":"UC Agriculture & Natural Resources"}]},{"display":"Department","fieldName":"departments","facets":[{"value":"ucideptmed","count":1,"displayName":"UC Irvine Department of Medicine"}]},{"display":"Journal","fieldName":"journals","facets":[]},{"display":"Discipline","fieldName":"disciplines","facets":[]},{"display":"Reuse License","fieldName":"rights","facets":[]}]};</script> <script src="/js/vendors~app-bundle-7424603c338d723fd773.js"></script> <script src="/js/app-bundle-8362e6d7829414ab4baa.js"></script> </body> </html>