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<journal>
<language>en</language>
<journal_id_issn>1726-7536</journal_id_issn>
<journal_id_issn_online>1735-8507</journal_id_issn_online>
<journal_id_pii></journal_id_pii>
<journal_id_doi></journal_id_doi>
<journal_id_isnet></journal_id_isnet>
<journal_id_iranmedex>69</journal_id_iranmedex>
<journal_id_magiran>2139</journal_id_magiran>
<journal_id_sid>288</journal_id_sid>
<pubdate PubStatus="epublish">
	<type>gregorian</type>
	<year>2018</year>
	<month>8</month>
	<day>5</day>
</pubdate>
<volume>19</volume>
<number>3</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>

<article>
	<language>en</language>
	<article_id_issn></article_id_issn>
	<article_id_issn_online></article_id_issn_online>
	<article_id_pubmed>30167395</article_id_pubmed>
	<article_id_pii></article_id_pii>
	<article_id_doi></article_id_doi>
	<article_id_iranmedex></article_id_iranmedex>
	<article_id_magiran></article_id_magiran>
	<article_id_sid></article_id_sid>
	<title_fa></title_fa>
	<title>2D and 3D Trans-vaginal Sonography to Determine Cut-offs for Ovarian Volume and Follicle Number per Ovary for Diagnosis of Polycystic Ovary Syndrome in Indian Women</title>
	<subject_fa></subject_fa>
	<subject></subject>
	<content_type_fa></content_type_fa>
	<content_type></content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;p&gt;Background: The purpose of the study was to determine cut-off values for ovarian volume (OV) and follicle number per ovary (FNPO) in Indian women with polycystic ovary syndrome (PCOS).&lt;br /&gt;
Methods: Eighty six PCOS women (Rotterdam criteria) and forty five matched ovulatory and normo-androgenic women were recruited. A detailed 2D and 3D trans-vaginal scan was carried out in early follicular phase (D2-D5) in all patients. Ovarian volume, follicle number per ovary, stromal volume, vascularization index (VI), vascularization flow index (VFI) and flow index (FI) were measured in PCOS and controls. Mann-Whitney test and logistic analysis using PROC LOGISTIC function of SAS&lt;sup&gt;&amp;reg;&lt;/sup&gt; (Version 9.3) were used to calculate the best cut-offs for the diagnosis of PCOS.&lt;br /&gt;
Results: Mean ovarian volume was 13.7&amp;plusmn;5.89 and 5.06&amp;plusmn;2.44 (p&amp;lt;0.0001), FNPO was 19.18&amp;plusmn;6.89 and 7.13&amp;plusmn;3.51 (p&amp;lt;0.0001) in PCOS and controls, respectively. The cut-offs for the diagnosis of PCOS were 2D OV=6.15 &lt;em&gt;cm&lt;/em&gt;&amp;sup3;, 2D FNPO=12. By 3D scan, OV=7 &lt;em&gt;cm&lt;/em&gt;&amp;sup3;, FNPO=10, stromal volume=6 &lt;em&gt;cm&lt;/em&gt;&amp;sup3;, VI=4.546, VFI=2.925 and FI=19.266. Youden&amp;rsquo;s Index (To select optimal predicted probability cut-off) was the highest for 2D FNPO (0.88786). 2D FNPO showed the highest specificity and sensitivity (AUC), 0.95238 and 0.93548, for the diagnostic accuracy of PCOS.&lt;br /&gt;
Conclusion: 2D and 3D trans-vaginal scans are equally accurate for assessment of ovarian morphology. FNPO has better diagnostic accuracy for PCOS compared to ovarian volume. Cut-off for FNPO and OV in Indian PCOS women is 12 and 6.15 &lt;em&gt;cm&lt;/em&gt;&amp;sup3; by 2D, 10 and 7 &lt;em&gt;cm&lt;/em&gt;&amp;sup3; by 3D trans-vaginal scan.&lt;/p&gt;
</abstract>
	<keyword_fa></keyword_fa>
	<keyword>Ovarian volume, PCOS, Polycystic ovary, Rotterdam criteria, Three dimensional ultrasound</keyword>
	<start_page>146</start_page>
	<end_page>152</end_page>
	<web_url>https://www.jri.ir/article/30028</web_url>
	<pdf_url>https://www.jri.ir/documents/fullpaper/en/30028.pdf</pdf_url>
	<author_list><author><first_name>Sujata </first_name><middle_name></middle_name><last_name>Kar</last_name><suffix></suffix><affiliation>Department of Obstetrics and Gynaecology, Kar Clinic and Hospital, Bhubaneswar, India</affiliation><first_name_fa></first_name_fa><middle_name_fa></middle_name_fa><last_name_fa></last_name_fa><suffix_fa></suffix_fa><email>suju2463@gmail.com</email><code>31843</code><coreauthor></coreauthor><affiliation_fa></affiliation_fa></author><author><first_name>Swoyam </first_name><middle_name></middle_name><last_name>Samparna</last_name><suffix></suffix><affiliation>Department of Radiology, Dnyandeo Yashwantrao, Patil Hospital, Mumbai, India</affiliation><first_name_fa></first_name_fa><middle_name_fa></middle_name_fa><last_name_fa></last_name_fa><suffix_fa></suffix_fa><email></email><code>31844</code><coreauthor></coreauthor><affiliation_fa></affiliation_fa></author></author_list>
</article>

</articleset>
</journal>

