Connie Rees

318 deep infiltrating endometriosis. Fertil Steril. 2016; 107. Bruun MR, Arendt LH, Forman A, Ramlau-Hansen CH. Endometriosis and adenomyosis are associated with increased risk of preterm delivery and a small-for-gestational-age child: a systematic review and meta-analysis. Acta Obstetricia et Gynecologica Scandinavica. 2018. 108. Hashimoto A, Iriyama T, Sayama S, Nakayama T, Komatsu A, Miyauchi A, et al. Adenomyosis and adverse perinatal outcomes: increased risk of second trimester miscarriage, preeclampsia, and placental malposition. J Matern Neonatal Med. 2018; 109. Kim YM, Kim SH, Kim JH, Sung JH, Choi SJ, Oh S young, et al. Uterine wall thickness at the second trimester can predict subsequent preterm delivery in pregnancies with adenomyosis. Taiwan J Obstet Gynecol. 2019; 110. Yamaguchi A, Kyozuka H, Fujimori K, Hosoya M, Yasumura S, Yokoyama T, et al. Risk of preterm birth, low birthweight and small-forgestational-age infants in pregnancies with adenomyosis: A cohort study of the Japan Environment and Children’s Study. Acta Obstet Gynecol Scand. 2019; 111. Brosens I, Derwig I, Brosens J, Fusi L, Benagiano G, Pijnenborg R. The enigmatic uterine junctional zone: the missing link between reproductive disorders and major obstetrical disorders? Hum Reprod [Internet]. 2010 Mar;25(3):569–74. Available from: https://www.ncbi.nlm.nih.gov/pubmed/20085913 112. Brosens I, Pijnenborg R, Benagiano G. Defective myometrial spiral artery remodelling as a cause of major obstetrical syndromes in endometriosis and adenomyosis. Placenta [Internet]. 2013 Feb;34(2):100–5. Available from: https://www.ncbi.nlm.nih.gov/pubmed/23232321 113. Kang S, Turner DA, Foster GS, Rapoport MI, Spencer SA, Wang JZ. Adenomyosis: specificity of 5 mm as the maximum normal uterine junctional zone thickness in MR images. AJR Am J Roentgenol [Internet]. 1996 May;166(5):1145–50. Available from: https://www.ncbi.nlm.nih.gov/pubmed/8615259 114. Whiting PF, Rutjes AWS, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, et al. Quadas-2: A revised tool for the quality assessment of diagnostic accuracy studies. Annals of Internal Medicine. 2011. 115. Freeman SC, Kerby CR, Patel A, Cooper NJ, Quinn T, Sutton AJ. Development of an interactive web-based tool to conduct and interrogate meta-analysis of diagnostic test accuracy studies: MetaDTA. BMC Med Res Methodol. 2019; 116. Moghadam R, Lathi RB, Shahmohamady B, Saberi NS, Nezhat CH, Nezhat F, et al. Predictive value of magnetic resonance imaging in

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