{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,4]],"date-time":"2025-10-04T07:49:34Z","timestamp":1759564174703,"version":"3.37.3"},"reference-count":12,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2017,6,6]],"date-time":"2017-06-06T00:00:00Z","timestamp":1496707200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["obgyn.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Ultrasound in Obstet &amp; Gyne"],"published-print":{"date-parts":[[2017,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Objective<\/jats:title><jats:p>In light of recent statements from the United States Food and Drug Administration warning against the use of power morcellation of uterine leiomyomas during laparoscopy, we sought to evaluate the use of preoperative two\u2010 (<jats:styled-content style=\"fixed-case\">2D<\/jats:styled-content>) and three\u2010 (<jats:styled-content style=\"fixed-case\">3D<\/jats:styled-content>) dimensional transvaginal ultrasound (<jats:styled-content style=\"fixed-case\">US<\/jats:styled-content>) assessment of uterine volume to predict the need for morcellation in women undergoing laparoscopic hysterectomy (<jats:styled-content style=\"fixed-case\">LH<\/jats:styled-content>).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This was a prospective observational study performed between October 2008 and November 2011 in a tertiary referral laparoscopic unit. All women scheduled to undergo <jats:styled-content style=\"fixed-case\">LH<\/jats:styled-content> were included and underwent detailed preoperative transvaginal <jats:styled-content style=\"fixed-case\">US<\/jats:styled-content>. Uterine volumes were calculated using <jats:styled-content style=\"fixed-case\">2D\u2010US<\/jats:styled-content> measurements (ellipsoid formula), and using Virtual Organ Computer\u2010aided <jats:styled-content style=\"fixed-case\">AnaLysis<\/jats:styled-content> (<jats:styled-content style=\"fixed-case\">VOCAL<\/jats:styled-content>\u2122) having acquired <jats:styled-content style=\"fixed-case\">3D\u2010US<\/jats:styled-content> volumes of the uterus. Age, parity, need to morcellate and final uterine dry weight at histology were recorded. The estimated uterine volumes were then incorporated into a previously published logistic regression model to predict the need to morcellate for both nulliparous and parous women. The probability threshold cut\u2010off of 0.14 (95% sensitivity) was evaluated in terms of sensitivity, specificity, positive predictive value (<jats:styled-content style=\"fixed-case\">PPV<\/jats:styled-content>), negative predictive value (<jats:styled-content style=\"fixed-case\">NPV<\/jats:styled-content>) and likelihood ratios (<jats:styled-content style=\"fixed-case\">LRs<\/jats:styled-content>). The performance of the models incorporating <jats:styled-content style=\"fixed-case\">2D<\/jats:styled-content>\u2010 and <jats:styled-content style=\"fixed-case\">3D\u2010US<\/jats:styled-content> calculations were compared with <jats:styled-content style=\"fixed-case\">2D<\/jats:styled-content>\u2010 and <jats:styled-content style=\"fixed-case\">3D\u2010US<\/jats:styled-content>\u2010generated volumes alone, using receiver\u2013operating characteristics (<jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content>) curves.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Of 76 women who underwent <jats:styled-content style=\"fixed-case\">LH<\/jats:styled-content> during the study period, 79% (<jats:italic>n<\/jats:italic> = 60) had complete background and <jats:styled-content style=\"fixed-case\">3D\u2010US<\/jats:styled-content> data. Their mean age was 43.7 years, 91.7% were parous and 35% underwent morcellation. The greatest uterine volume that did not require morcellation was 404 <jats:styled-content style=\"fixed-case\">mL<\/jats:styled-content> estimated using <jats:styled-content style=\"fixed-case\">3D\u2010US<\/jats:styled-content>, which corresponded to a uterine volume of 688.8 <jats:styled-content style=\"fixed-case\">mL<\/jats:styled-content> using <jats:styled-content style=\"fixed-case\">2D\u2010US<\/jats:styled-content>. The smallest uterine volume that required morcellation was 118.9 <jats:styled-content style=\"fixed-case\">mL<\/jats:styled-content> using <jats:styled-content style=\"fixed-case\">3D\u2010US<\/jats:styled-content>, which corresponded to a uterine volume of 123.4 <jats:styled-content style=\"fixed-case\">mL<\/jats:styled-content> using <jats:styled-content style=\"fixed-case\">2D\u2010US<\/jats:styled-content>. The <jats:styled-content style=\"fixed-case\">3D\u2010US<\/jats:styled-content> uterine volume for parous women with a sensitivity of 95% based on <jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content>\u2010curve analysis was approximately 120 <jats:styled-content style=\"fixed-case\">mL<\/jats:styled-content>, which equated to a predicted probability of morcellation cut\u2010off of 0.14. For this cut\u2010off, specificity was 55.00%, <jats:styled-content style=\"fixed-case\">PPV<\/jats:styled-content> was 51.35%, <jats:styled-content style=\"fixed-case\">NPV<\/jats:styled-content> was 95.65%, <jats:styled-content style=\"fixed-case\">LR<\/jats:styled-content>+ was 2.11 and <jats:styled-content style=\"fixed-case\">LR<\/jats:styled-content>\u2013 was 0.09. Areas under the <jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content> curves for the morcellation logistic regression model were 0.769 (95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>, 0.653\u20130.886) and 0.586 (95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>, 0.419\u20130.753) using uterine volumes obtained by <jats:styled-content style=\"fixed-case\">3D\u2010US<\/jats:styled-content> and by <jats:styled-content style=\"fixed-case\">2D\u2010US<\/jats:styled-content>, respectively, and they were 0.938 (95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>, 0.879\u20130.996) and 0.815 (95% <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>, 0.681\u20130.948) using <jats:styled-content style=\"fixed-case\">3D\u2010US<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">2D\u2010US<\/jats:styled-content> volumes alone.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The need to morcellate can be predicted preoperatively using <jats:styled-content style=\"fixed-case\">3D\u2010US<\/jats:styled-content> uterine volumes obtained by transvaginal <jats:styled-content style=\"fixed-case\">US<\/jats:styled-content> with a fair degree of accuracy. Uteri with volumes smaller than 120 <jats:styled-content style=\"fixed-case\">mL<\/jats:styled-content> at <jats:styled-content style=\"fixed-case\">3D\u2010US<\/jats:styled-content> are very unlikely to require morcellation. The incorporation of <jats:styled-content style=\"fixed-case\">3D\u2010US<\/jats:styled-content>\u2010estimated uterine volume into the previously published logistic regression model does not seem to confer any significant improvement when compared with <jats:styled-content style=\"fixed-case\">3D\u2010US<\/jats:styled-content> uterine volume alone to predict the need to morcellate in women undergoing total <jats:styled-content style=\"fixed-case\">LH<\/jats:styled-content>. Copyright \u00a9 2016 ISUOG. Published by John Wiley &amp; Sons Ltd.<\/jats:p><\/jats:sec>","DOI":"10.1002\/uog.15991","type":"journal-article","created":{"date-parts":[[2016,6,9]],"date-time":"2016-06-09T16:22:45Z","timestamp":1465489365000},"page":"255-260","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Three\u2010dimensional transvaginal sonographic assessment of uterine volume as preoperative predictor of need to morcellate in women undergoing laparoscopic hysterectomy"],"prefix":"10.1002","volume":"50","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8559-7050","authenticated-orcid":false,"given":"B.","family":"Gerges","sequence":"first","affiliation":[{"name":"Acute Gynaecology, Early Pregnancy and Advanced Endosurgery, Sydney Medical School Nepean University of Sydney, Nepean Hospital  Penrith NSW Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M.","family":"Mongelli","sequence":"additional","affiliation":[{"name":"Nepean Medical School, Nepean Hospital University of Sydney, Nepean Hospital  Kingswood NSW Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"I.","family":"Casikar","sequence":"additional","affiliation":[{"name":"Acute Gynaecology, Early Pregnancy and Advanced Endosurgery, Sydney Medical School Nepean University of Sydney, Nepean Hospital  Penrith NSW Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"T.","family":"Bignardi","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, A.O. Niguarda Ca' Granda  Milan Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G.","family":"Condous","sequence":"additional","affiliation":[{"name":"Acute Gynaecology, Early Pregnancy and Advanced Endosurgery, Sydney Medical School Nepean University of Sydney, Nepean Hospital  Penrith NSW Australia"},{"name":"OMNI Gynaecological Care Centre for Women's Ultrasound and Early Pregnancy  St Leonards NSW Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2017,6,6]]},"reference":[{"key":"e_1_2_5_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajog.2006.10.390"},{"issue":"5","key":"e_1_2_5_3_1","first-page":"1","article-title":"2006 National Hospital Discharge Survey","volume":"30","author":"DeFrances CJ","year":"2008","journal-title":"Natl Health Stat Report"},{"key":"e_1_2_5_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajog.2014.12.002"},{"key":"e_1_2_5_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1479-828X.2004.00199.x"},{"key":"e_1_2_5_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmig.2014.01.012"},{"key":"e_1_2_5_7_1","unstructured":"Food and Drug Administration (FDA). 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