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type=\u0022text\/css\u0022 rel=\u0022stylesheet\u0022 href=\u0022\/\/d282kpwvnogo5m.cloudfront.net\/sites\/default\/files\/cdn\/css\/http\/css_Xg7z6oCTVgud_Q0huYz9x9iiD5H_2YPSJ5z2ZViSWdY.css\u0022 media=\u0022all\u0022 \/\u003E\n\u003Clink rel=\u0027stylesheet\u0027 type=\u0027text\/css\u0027 href=\u0027\/sites\/all\/modules\/contrib\/panels\/plugins\/layouts\/onecol\/onecol.css\u0027 \/\u003E\u003C\/head\u003E\u003Cbody\u003E\u003Cdiv class=\u0022panels-ajax-tab-panel panels-ajax-tab-panel-sageoa-tab-art\u0022\u003E\u003Cdiv class=\u0022panel-display panel-1col clearfix\u0022 \u003E\n  \u003Cdiv class=\u0022panel-panel panel-col\u0022\u003E\n    \u003Cdiv\u003E\u003Cdiv class=\u0022panel-pane pane-highwire-markup\u0022 \u003E\n  \n      \n  \n  \u003Cdiv class=\u0022pane-content\u0022\u003E\n    \u003Cdiv class=\u0022highwire-markup\u0022\u003E\u003Cdiv xmlns=\u0022http:\/\/www.w3.org\/1999\/xhtml\u0022 id=\u0022content-block-markup\u0022 xmlns:xhtml=\u0022http:\/\/www.w3.org\/1999\/xhtml\u0022\u003E\u003Cdiv class=\u0022article fulltext-view \u0022\u003E\u003Cspan class=\u0022highwire-journal-article-marker-start\u0022\u003E\u003C\/span\u003E\u003Cdiv class=\u0022section abstract\u0022 id=\u0022abstract-1\u0022\u003E\u003Ch2\u003ESummary\u003C\/h2\u003E\n            \u003Cp id=\u0022p-1\u0022\u003EAlthough it is well recognized that surgical staging improves survival in women with ovarian cancer, survival outcomes in these women remain low. According to 2007 Surveillance, Epidemiology, and End Results (SEER) data, 10-year survival rates for a woman with stage III and one with stage IV ovarian cancer are just over 22% and 10%, respectively [Ries L et al. \u003Cem\u003ENational Cancer Institute: SEER Program\u003C\/em\u003E 2007]. For unstaged ovarian cancer, the survival rate is just over 20%. This article presents information on 2 algorithms currently approved by the Food and Drug Administration to improve identification of high-risk women with the goal of triaging these women to optimal care.\u003C\/p\u003E\n         \u003C\/div\u003E\u003Cul class=\u0022kwd-group\u0022\u003E\u003Cli class=\u0022kwd\u0022\u003EReproductive Cancers\u003C\/li\u003E\u003C\/ul\u003E\u003Cul class=\u0022kwd-group clinical-trial\u0022\u003E\u003Cli class=\u0022kwd\u0022\u003EReproductive Cancers\u003C\/li\u003E\u003Cli class=\u0022kwd\u0022\u003EObstetrics \u0026amp; Gynecology\u003C\/li\u003E\u003Cli class=\u0022kwd\u0022\u003EReproductive Cancers\u003C\/li\u003E\u003C\/ul\u003E\u003Cp id=\u0022p-2\u0022\u003EAlthoughitiswellrecognizedthatsurgicalstagingimprovessurvivalinwomenwithovariancancer, survival outcomes in these women remain low. According to 2007 Surveillance, Epidemiology, and End Results (SEER) data, 10-year survival rates for a woman with stage III and one with stage IV ovarian cancer are just over 22% and 10%, respectively [Ries L et al. \u003Cem\u003ENational Cancer Institute: SEER Program\u003C\/em\u003E 2007]. For unstaged ovarian cancer, the survival rate is just over 20%.\u003C\/p\u003E\u003Cp id=\u0022p-3\u0022\u003EEvidence shows that survival rates are significantly higher in women at high risk of ovarian cancer who are surgically staged by a gynecologic surgeon at a high-volume hospital [Paulsen T et al. \u003Cem\u003EInt J Gynecol Cancer\u003C\/em\u003E 2006]. However, treatment remains suboptimal in part because high-risk patients are often not identified and triaged to the appropriate surgeon and institution.\u003C\/p\u003E\u003Cp id=\u0022p-4\u0022\u003EWays to improve identification of women with a pelvic mass at high risk of ovarian cancer were discussed during the John and Marney Mathers Lecture titled \u201cPelvic Mass Risk Assessment: Could It Be Cancer?\u201d at the 2014 American Congress of Obstetrics and Gynecology (ACOG) annual meeting. David Scott Miller, MD, Division of Gynecologic Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA, and Richard Moore, MD, Program in Women\u0027s Oncology, Department of Obstetrics and Gynecology, Women and Infants\u0027 Hospital of Rhode Island, Alpert Medical School, Brown University, Providence, Rhode Island, USA, presented information on 2 algorithms currently approved by the Food and Drug Administration to improve identification of high-risk women with the goal of triaging these women to optimal care.\u003C\/p\u003E\u003Cp id=\u0022p-5\u0022\u003EAccording to Dr. Moore, both ROMA (Risk of Ovarian Malignancy Algorithm) and OVA1 are very good at identifying ovarian masses at high risk of ovarian cancer, particularly when the algorithm is combined with clinical assessment. He said it is up to each physician to determine which test to use, but he emphasized the need to use only one algorithm and not both.\u003C\/p\u003E\u003Cp id=\u0022p-6\u0022\u003EBoth Dr. Moore and Dr. Miller highlighted some differences between the two tests, however, that were useful in understanding their particular potential strengths and limitations. The session opened with a brief discussion of the ACOG-SGO (\u2212Society of Gynecologic Oncology) guidelines on the clinical assessment of pelvic masses for the evaluation and triage of adnexal masses (\u003Ca id=\u0022xref-table-wrap-1-1\u0022 class=\u0022xref-table\u0022 href=\u0022#T1\u0022\u003ETable 1\u003C\/a\u003E), which are used in conjunction with each algorithm for optimal predictive value [Committee Opinion No. 477 ACOG. \u003Cem\u003EObstet Gynecol\u003C\/em\u003E 2011].\u003C\/p\u003E\u003Cdiv id=\u0022T1\u0022 class=\u0022table pos-float\u0022\u003E\u003Cdiv class=\u0022table-inline\u0022\u003E\u003Cdiv class=\u0022callout\u0022\u003E\u003Cspan\u003EView this table:\u003C\/span\u003E\u003Cul class=\u0022callout-links\u0022\u003E\u003Cli class=\u00220 first\u0022\u003E\u003Ca href=\u0022\/\u0022 class=\u0022table-expand-inline\u0022 data-table-url=\u0022\/highwire\/markup\/15961\/expansion?postprocessors=highwire_figures%2Chighwire_math%2Chighwire_inline_linked_media%2Chighwire_embed\u0026amp;table-expand-inline=1\u0022 html=\u00221\u0022 fragment=\u0022#\u0022 external=\u00221\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EView inline\u003C\/a\u003E\u003C\/li\u003E\u003Cli class=\u00221\u0022\u003E\u003Ca href=\u0022\/highwire\/markup\/15961\/expansion?width=1000\u0026amp;height=500\u0026amp;iframe=true\u0026amp;postprocessors=highwire_figures%2Chighwire_math%2Chighwire_inline_linked_media\u0022 class=\u0022colorbox colorbox-load table-expand-popup\u0022 rel=\u0022gallery-fragment-tables\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EView popup\u003C\/a\u003E\u003C\/li\u003E\u003Cli class=\u00222 last\u0022\u003E\u003Ca href=\u0022\/highwire\/powerpoint\/15961\u0022 class=\u0022highwire-figure-link highwire-figure-link-ppt\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EDownload powerpoint\u003C\/a\u003E\u003C\/li\u003E\u003C\/ul\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cdiv class=\u0022table-caption\u0022\u003E\u003Cspan class=\u0022table-label\u0022\u003ETable 1.\u003C\/span\u003E \n            \u003Cp id=\u0022p-7\u0022 class=\u0022first-child\u0022\u003EClinical Assessment Using ACOG-SGO Guidelines: Referral Criteria for Women With Adnexal Masses to Gynecologic Oncologists\u003C\/p\u003E\n         \u003Cdiv class=\u0022sb-div caption-clear\u0022\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cdiv class=\u0022section\u0022 id=\u0022sec-1\u0022\u003E\n         \u003Ch2 class=\u0022\u0022\u003EBENEFITS OF OVA1\u003C\/h2\u003E\n         \u003Cp id=\u0022p-9\u0022\u003EOne main benefit of OVA1 cited by both Dr. Miller and Dr. Moore is its greater sensitivity, compared with ROMA, for identifying ovarian cancer in women initially assessed with benign disease. Dr. Miller highlighted data on OVA1 that, in his opinion, make this algorithm superior to ROMA, particularly for patients with early stage disease and nonepithelial ovarian cancers. He cited the only head-to-head study of 70 premenopausal women and 76 postmenopausal women that looked at the predictive value of OVA1 compared with ROMA for the detection of ovarian cancer in women with a pelvic mass [Grenache DG et al. \u003Cem\u003EClin Oncol\u003C\/em\u003E 2013]. The authors of the study found a similar performance between the two methods, but found that OVA1 had a greater sensitivity for identifying ovarian cancer in women initially assessed with benign disease, whereas ROMA had a higher specificity for identifying women who did not have ovarian cancer.\u003C\/p\u003E\n         \u003Cp id=\u0022p-10\u0022\u003EOverall, when OVA1 is combined with clinical assessment, the evidence shows that OVA1 has an average sensitivity of 96% for a broad range of ovarian malignancies [Moore RG et al. \u003Cem\u003EObstet Gynecol\u003C\/em\u003E 2011; Ueland FR et al. \u003Cem\u003EObstet Gynecol\u003C\/em\u003E 2011]. Providing additional confidence of the predictive ability of OVA1 is the evidence showing that OVA1 also has a high negative predictive value (NPV; 95% to 98%) [Ueland FR et al. \u003Cem\u003EObstet Gynecol\u003C\/em\u003E 2011], which is the probability that a patient with a negative test result really does not have ovarian cancer.\u003C\/p\u003E\n         \u003Cp id=\u0022p-11\u0022\u003EDr. Miller emphasized that OVA1 is well validated, having been used in more than 1000 patients and 250 malignancies. He also said the test is easy to use and interpret, making triage more efficient and allowing low-risk patients to remain with the general gynecologist.\u003C\/p\u003E\n      \u003C\/div\u003E\u003Cdiv class=\u0022section\u0022 id=\u0022sec-2\u0022\u003E\n         \u003Ch2 class=\u0022\u0022\u003EBENEFITS OF ROMA\u003C\/h2\u003E\n         \u003Cp id=\u0022p-12\u0022\u003EDr. Moore emphasized that the main benefit of ROMA over OVA1 is its better ability to detect invasive ovarian cancer as shown by its greater specificity than OVA1. He emphasized that detecting invasive cancer is what is important, and not detection of low malignant potential tumors that would not need a second surgery for debulking or determining chemotherapy. Therefore, fewer patients with benign masses will be referred to tertiary centers by using ROMA.\u003C\/p\u003E\n         \u003Cp id=\u0022p-13\u0022\u003EHe cited data from two validation studies that showed the high specificity of ROMA. The first study showed that ROMA was able to correctly identify 94% of all invasive cancers (95% in postmenopausal women and 89% in premenopausal women) [Moore RG et al. \u003Cem\u003EGynecol Oncol\u003C\/em\u003E 2009], and the second study showed that ROMA correctly identified 93.8% of all invasive cancers (92.3% in postmenopausal women and 100% in premenopausal women) [Moore RG et al. \u003Cem\u003EObstet Gynecol\u003C\/em\u003E 2011].\u003C\/p\u003E\n         \u003Cp id=\u0022p-14\u0022\u003ETo show the greater specificity of ROMA compared with OVA1, he used data from the FDA submission of each method (\u003Ca id=\u0022xref-table-wrap-2-1\u0022 class=\u0022xref-table\u0022 href=\u0022#T2\u0022\u003ETable 2\u003C\/a\u003E). These data also show the high sensitivity and NPV of ROMA, similar to that of OVA1.\u003C\/p\u003E\n         \u003Cdiv id=\u0022T2\u0022 class=\u0022table pos-float\u0022\u003E\u003Cdiv class=\u0022table-inline\u0022\u003E\u003Cdiv class=\u0022callout\u0022\u003E\u003Cspan\u003EView this table:\u003C\/span\u003E\u003Cul class=\u0022callout-links\u0022\u003E\u003Cli class=\u00220 first\u0022\u003E\u003Ca href=\u0022\/\u0022 class=\u0022table-expand-inline\u0022 data-table-url=\u0022\/highwire\/markup\/15962\/expansion?postprocessors=highwire_figures%2Chighwire_math%2Chighwire_inline_linked_media%2Chighwire_embed\u0026amp;table-expand-inline=1\u0022 html=\u00221\u0022 fragment=\u0022#\u0022 external=\u00221\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EView inline\u003C\/a\u003E\u003C\/li\u003E\u003Cli class=\u00221\u0022\u003E\u003Ca href=\u0022\/highwire\/markup\/15962\/expansion?width=1000\u0026amp;height=500\u0026amp;iframe=true\u0026amp;postprocessors=highwire_figures%2Chighwire_math%2Chighwire_inline_linked_media\u0022 class=\u0022colorbox colorbox-load table-expand-popup\u0022 rel=\u0022gallery-fragment-tables\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EView popup\u003C\/a\u003E\u003C\/li\u003E\u003Cli class=\u00222 last\u0022\u003E\u003Ca href=\u0022\/highwire\/powerpoint\/15962\u0022 class=\u0022highwire-figure-link highwire-figure-link-ppt\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EDownload powerpoint\u003C\/a\u003E\u003C\/li\u003E\u003C\/ul\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cdiv class=\u0022table-caption\u0022\u003E\u003Cspan class=\u0022table-label\u0022\u003ETable 2.\u003C\/span\u003E \n               \u003Cp id=\u0022p-15\u0022 class=\u0022first-child\u0022\u003EGreater Specificity of ROMA Compared With OVA1 in Detecting Cancers (Ovarian and Nonovarian)\u003C\/p\u003E\n            \u003Cdiv class=\u0022sb-div caption-clear\u0022\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\n         \u003Cp id=\u0022p-17\u0022\u003EAnother benefit of ROMA over OVA1, he emphasized, is that ROMA has been validated by more than 12 independent studies. This has been done, he said, because ROMA is available to anyone for use and, unlike OVAI, is not proprietary. Other benefits are shown in \u003Ca id=\u0022xref-table-wrap-3-1\u0022 class=\u0022xref-table\u0022 href=\u0022#T3\u0022\u003ETable 3\u003C\/a\u003E.\u003C\/p\u003E\n         \u003Cdiv id=\u0022T3\u0022 class=\u0022table pos-float\u0022\u003E\u003Cdiv class=\u0022table-inline\u0022\u003E\u003Cdiv class=\u0022callout\u0022\u003E\u003Cspan\u003EView this table:\u003C\/span\u003E\u003Cul class=\u0022callout-links\u0022\u003E\u003Cli class=\u00220 first\u0022\u003E\u003Ca href=\u0022\/\u0022 class=\u0022table-expand-inline\u0022 data-table-url=\u0022\/highwire\/markup\/15963\/expansion?postprocessors=highwire_figures%2Chighwire_math%2Chighwire_inline_linked_media%2Chighwire_embed\u0026amp;table-expand-inline=1\u0022 html=\u00221\u0022 fragment=\u0022#\u0022 external=\u00221\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EView inline\u003C\/a\u003E\u003C\/li\u003E\u003Cli class=\u00221\u0022\u003E\u003Ca href=\u0022\/highwire\/markup\/15963\/expansion?width=1000\u0026amp;height=500\u0026amp;iframe=true\u0026amp;postprocessors=highwire_figures%2Chighwire_math%2Chighwire_inline_linked_media\u0022 class=\u0022colorbox colorbox-load table-expand-popup\u0022 rel=\u0022gallery-fragment-tables\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EView popup\u003C\/a\u003E\u003C\/li\u003E\u003Cli class=\u00222 last\u0022\u003E\u003Ca href=\u0022\/highwire\/powerpoint\/15963\u0022 class=\u0022highwire-figure-link highwire-figure-link-ppt\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EDownload powerpoint\u003C\/a\u003E\u003C\/li\u003E\u003C\/ul\u003E\u003C\/div\u003E\u003C\/div\u003E\u003Cdiv class=\u0022table-caption\u0022\u003E\u003Cspan class=\u0022table-label\u0022\u003ETable 3.\u003C\/span\u003E \n               \u003Cp id=\u0022p-18\u0022 class=\u0022first-child\u0022\u003EComparison of ROMA and OVA1\u003C\/p\u003E\n            \u003Cdiv class=\u0022sb-div caption-clear\u0022\u003E\u003C\/div\u003E\u003C\/div\u003E\u003C\/div\u003E\n         \u003Cp id=\u0022p-20\u0022\u003EBoth OAV1 and ROMA improve detection of women at high risk of ovarian cancer, particularly when combined with clinical assessment, and permit better triaging of patients to the appropriate surgeon and hospital for optimal care [Moore RG et al. \u003Cem\u003EObstet Gynecol\u003C\/em\u003E 2011; Ueland FR et al. \u003Cem\u003EObstet Gynecol\u003C\/em\u003E 2011; Miller et al. \u003Cem\u003EObstet Gynecol\u003C\/em\u003E 2011]. This is represented by the high sensitivity and the negative predictive value of both algorithms. The higher specificity of ROMA, according to Dr. Moore, indicates its greater value in correctly identifying women at high risk of ovarian cancer and better ensures that women with benign disease will not be triaged to a tertiary care center for care by an oncologic surgeon.\u003C\/p\u003E\n      \u003C\/div\u003E\u003Cul class=\u0022copyright-statement\u0022\u003E\u003Cli class=\u0022fn\u0022 id=\u0022copyright-statement-1\u0022\u003E\u00a9 2014 MD Conference Express\u00ae\u003C\/li\u003E\u003C\/ul\u003E\u003Cspan class=\u0022highwire-journal-article-marker-end\u0022\u003E\u003C\/span\u003E\u003C\/div\u003E\u003Cspan id=\u0022related-urls\u0022\u003E\u003C\/span\u003E\u003C\/div\u003E\u003Ca href=\u0022http:\/\/mdc.sagepub.com\/content\/14\/7\/28.abstract\u0022 class=\u0022hw-link hw-link-article-abstract\u0022 data-icon-position=\u0022\u0022 data-hide-link-title=\u00220\u0022\u003EView Summary\u003C\/a\u003E\u003C\/div\u003E  \u003C\/div\u003E\n\n  \n  \u003C\/div\u003E\n\u003C\/div\u003E\n  \u003C\/div\u003E\n\u003C\/div\u003E\n\u003C\/div\u003E\u003Cscript type=\u0022text\/javascript\u0022 src=\u0022http:\/\/mdc.sagepub.com\/sites\/all\/modules\/highwire\/highwire\/plugins\/highwire_markup_process\/js\/highwire_openurl.js?nzp9n1\u0022\u003E\u003C\/script\u003E\n\u003Cscript type=\u0022text\/javascript\u0022 src=\u0022http:\/\/mdc.sagepub.com\/sites\/all\/modules\/highwire\/highwire\/plugins\/highwire_markup_process\/js\/highwire_tables.js?nzp9n1\u0022\u003E\u003C\/script\u003E\n\u003C\/body\u003E\u003C\/html\u003E"}