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Deslandes A, Leonardi M. Proposed simplified protocol for initial assessment of endometriosis with transvaginal ultrasound. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2024. [PMID: 39262103 DOI: 10.1002/uog.29115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 08/26/2024] [Accepted: 09/02/2024] [Indexed: 09/13/2024]
Affiliation(s)
- A Deslandes
- Robinson Research Institute, University of Adelaide, Adelaide, Australia
- Specialist Imaging Partners, Adelaide, Australia
| | - M Leonardi
- Robinson Research Institute, University of Adelaide, Adelaide, Australia
- Department of Obstetrics & Gynecology, McMaster University, Hamilton, ON, Canada
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Avery JC, Deslandes A, Freger SM, Leonardi M, Lo G, Carneiro G, Condous G, Hull ML. Noninvasive diagnostic imaging for endometriosis part 1: a systematic review of recent developments in ultrasound, combination imaging, and artificial intelligence. Fertil Steril 2024; 121:164-188. [PMID: 38101562 DOI: 10.1016/j.fertnstert.2023.12.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 12/06/2023] [Indexed: 12/17/2023]
Abstract
Endometriosis affects 1 in 9 women and those assigned female at birth. However, it takes 6.4 years to diagnose using the conventional standard of laparoscopy. Noninvasive imaging enables a timelier diagnosis, reducing diagnostic delay as well as the risk and expense of surgery. This review updates the exponentially increasing literature exploring the diagnostic value of endometriosis specialist transvaginal ultrasound (eTVUS), combinations of eTVUS and specialist magnetic resonance imaging, and artificial intelligence. Concentrating on literature that emerged after the publication of the IDEA consensus in 2016, we identified 6192 publications and reviewed 49 studies focused on diagnosing endometriosis using emerging imaging techniques. The diagnostic performance of eTVUS continues to improve but there are still limitations. eTVUS reliably detects ovarian endometriomas, shows high specificity for deep endometriosis and should be considered diagnostic. However, a negative scan cannot preclude endometriosis as eTVUS shows moderate sensitivity scores for deep endometriosis, with the sonographic evaluation of superficial endometriosis still in its infancy. The fast-growing area of artificial intelligence in endometriosis detection is still evolving, but shows great promise, particularly in the area of combined multimodal techniques. We finalize our commentary by exploring the implications of practice change for surgeons, sonographers, radiologists, and fertility specialists. Direct benefits for endometriosis patients include reduced diagnostic delay, better access to targeted therapeutics, higher quality operative procedures, and improved fertility treatment plans.
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Affiliation(s)
- Jodie C Avery
- Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.
| | - Alison Deslandes
- Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Shay M Freger
- Department of Obstetrics and Gynecology McMaster University, Hamilton, ON, Canada
| | - Mathew Leonardi
- Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia; Department of Obstetrics and Gynecology McMaster University, Hamilton, ON, Canada
| | - Glen Lo
- Curtin Medical School, Curtin University, Perth, Western Australia, Australia
| | - Gustavo Carneiro
- Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia; Centre for Vision, Speech and Signal Processing (CVSSP), School of Computer Science and Electronic Engineering, University of Surrey, Guildford, United Kingdom
| | - G Condous
- Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia; Gynaecology Department, Omni Ultrasound and Gynaecological Care, Sydney, New South Wales, Australia
| | - Mary Louise Hull
- Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia; Gynaecology Department, Embrace Fertility, Adelaide, South Australia, Australia
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Al-Arnawoot B, Chang S, Duigenan S, Kielar AZ, Leonardi M. CAR Practice Statement on Advanced Pelvic Ultrasound for Endometriosis. Can Assoc Radiol J 2023; 74:643-649. [PMID: 37042803 DOI: 10.1177/08465371231165986] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/13/2023] Open
Abstract
The Canadian Association of Radiologists (CAR) Endometriosis Working Group was tasked with providing guidance and benchmarks to ensure the quality of technique and interpretation for advanced imaging modalities associated with diagnosing endometriosis. This practice statement provides an overview of the state of the art of advanced pelvic ultrasound in the diagnosis and mapping of pelvic endometriosis. While acknowledging that advanced pelvic ultrasound in some practices falls within the scope of clinical colleagues rather than imaging departments, the statement seeks to guide radiologists interested in implementing these techniques into their practice for patients referred for evaluation and diagnosis of endometriosis. The statement covers indications, some components of the ultrasound assessment and technique, reporting, and recommendations for starting an ultrasound endometriosis evaluation program.
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Affiliation(s)
- Basma Al-Arnawoot
- Department of Radiology, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
| | - Silvia Chang
- Department of Medical Imaging, University of British Columbia, Vancouver, BC, Canada
| | - Shauna Duigenan
- Department of Radiology, Radiation Oncology and Medical Physics, Faculty of Health Sciences, University of Ottawa, Ottawa, ON, Canada
| | - Ania Z Kielar
- Joint Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - Mathew Leonardi
- Department of Obstetrics & Gynecology, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
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