Noninvasive diagnostic imaging for endometriosis part 1: a systematic review of recent developments in ultrasound, combination imaging, and artificial intelligence

Author:

Avery Jodie C.ORCID,Deslandes Alison,Freger Shay M.,Leonardi Mathew,Lo Glen,Carneiro Gustavo,Condous G.,Hull Mary Louise,Hull Louise,Carneiro Gustavo,Avery Jodie,O’Hara Rebecca,Condous George,Knox Steven,Leonardi Mathew,Panuccio Catrina,Sirop Aisha,Abbott Jason,Gonzalez-Chica David,Wang Hu,Lo Glen,Chen Tim,Deslandes Alison,To Minh-Son,Zhang Yuan,Yang Natalie,Uzuner Cansu,Holdsworth-Carson Sarah,Nguyen Tran,Freger Shay,Abeygunasekara Nimantha,Richards Misha,Simpson Annie,Voyvodic Frank,Jenkins Melissa

Funder

Australian Government Department of Health and Aged Care

Publisher

Elsevier BV

Subject

Obstetrics and Gynecology,Reproductive Medicine

Reference114 articles.

1. Endometriosis;Zondervan;Nat Rev Dis Primers,2018

2. Prevalence and incidence of endometriosis in Australian women: a data linkage cohort study;Rowlands;BJOG,2021

3. Endometriosis and risk of adverse pregnancy outcomes;Farland;Obstet Gynecol,2019

4. Pathophysiology, diagnosis, and management of endometriosis;Horne;BMJ,2022

5. Lessons from implementing the Australian National Action Plan for Endometriosis;Armour;Reprod Fertil,2022

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