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Feldman MK, Wasnik AP, Adamson M, Dawkins AA, Dibble EH, Jones LP, Joshi G, Melamud K, Patel-Lippmann KK, Shampain K, VanBuren W, Kang SK. ACR Appropriateness Criteria® Endometriosis. J Am Coll Radiol 2024; 21:S384-S395. [PMID: 39488350 DOI: 10.1016/j.jacr.2024.08.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2024] [Accepted: 08/31/2024] [Indexed: 11/04/2024]
Abstract
Endometriosis is a common condition impacting individuals assigned female at birth. Though incompletely understood, the disorder is caused by endometrial-like tissue located outside of the endometrial cavity, associated with inflammation and fibrosis. Clinical presentation is variable, ranging from asymptomatic to severe pelvic pain and infertility. Treatment is determined by the patient's individualized goals and can include medical therapies to temporize symptoms or definitive surgical excision. Imaging is used to help diagnose endometriosis and for treatment planning. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.
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Affiliation(s)
| | | | - Megan Adamson
- Clinica Family Health, Lafayette, Colorado; American Academy of Family Physicians
| | | | - Elizabeth H Dibble
- Alpert Medical School of Brown University, Providence, Rhode Island; Commission on Nuclear Medicine and Molecular Imaging
| | - Lisa P Jones
- Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Gayatri Joshi
- Emory University School of Medicine, Atlanta, Georgia; Committee on Emergency Radiology-GSER
| | - Kira Melamud
- New York University Langone Health, New York, New York
| | | | | | | | - Stella K Kang
- Specialty Chair, New York University Medical Center, New York, New York
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Avery JC, Knox S, Deslandes A, Leonardi M, Lo G, Wang H, Zhang Y, Holdsworth-Carson SJ, Thi Nguyen TT, Condous GS, Carneiro G, Hull ML. Noninvasive diagnostic imaging for endometriosis part 2: a systematic review of recent developments in magnetic resonance imaging, nuclear medicine and computed tomography. Fertil Steril 2024; 121:189-211. [PMID: 38110143 DOI: 10.1016/j.fertnstert.2023.12.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 12/13/2023] [Indexed: 12/20/2023]
Abstract
Endometriosis affects 1 in 9 women, taking 6.4 years to diagnose using conventional laparoscopy. Non-invasive imaging enables timelier diagnosis, reducing diagnostic delay, risk and expense of surgery. This review updates literature exploring the diagnostic value of specialist endometriosis magnetic resonance imaging (eMRI), nuclear medicine (NM) and computed tomography (CT). Searching after the 2016 IDEA consensus, 6192 publications were identified, with 27 studies focused on imaging for endometriosis. eMRI was the subject of 14 papers, NM and CT, 11, and artificial intelligence (AI) utilizing eMRI, 2. eMRI papers describe diagnostic accuracy for endometriosis, methodologies, and innovations. Advantages of eMRI include its: ability to diagnose endometriosis in those unable to tolerate transvaginal endometriosis ultrasound (eTVUS); a panoramic pelvic view, easy translation to surgical fields; identification of hyperintense iron in endometriotic lesions; and ability to identify super-pelvic lesions. Sequence standardization means eMRI is less operator-dependent than eTVUS, but higher costs limit its role to a secondary diagnostic modality. eMRI for deep and ovarian endometriosis has sensitivities of 91-93.5% and specificities of 86-87.5% making it reliable for surgical mapping and diagnosis. Superficial lesions too small for detection in larger capture sequences, means a negative eMRI doesn't exclude endometriosis. Combined with thin sequence capture and improved reader expertise, eMRI is poised for rapid adoption into clinical practice. NM labeling is diagnostically limited in absence of suitable unique marker for endometrial-like tissue. CT studies expose the reproductively aged to radiation. AI diagnostic tools, combining independent eMRI and eTVUS endometriosis markers, may result in powerful capability. Broader eMRI use, will optimize standards and protocols. Reporting systems correlating to surgical anatomy will facilitate interdisciplinary preoperative dialogues. eMRI endometriosis diagnosis should reduce repeat surgeries with mental and physical health benefits for patients. There is potential for early eMRI diagnoses to prevent chronic pain syndromes and protect fertility outcomes.
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Affiliation(s)
- Jodie C Avery
- Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.
| | - Steven Knox
- Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia; Benson Radiology, Adelaide, Australia
| | - Alison Deslandes
- Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Mathew Leonardi
- Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia; Department of Obstetrics and Gynecology McMaster University, Hamilton, Canada
| | - Glen Lo
- Curtin University Medical School Perth, Australia
| | - Hu Wang
- Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia; Australian Institute for Machine Learning, University of Adelaide, Australia
| | - Yuan Zhang
- Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia; Australian Institute for Machine Learning, University of Adelaide, Australia
| | - Sarah Jane Holdsworth-Carson
- Julia Argyrou Endometriosis Centre, Epworth HealthCare, Richmond, Australia; Department of Obstetrics and Gynaecology, University of Melbourne, Parkville, Australia
| | - Tran Tuyet Thi Nguyen
- Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia; Embrace Fertility, Adelaide, Australia
| | - George Stanley Condous
- Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia; Omni Ultrasound and Gynaecological Care, Sydney Australia, (j)Department of Obstetrics and Gynaecology, University of Melbourne, Parkville, Australia
| | - Gustavo Carneiro
- Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia; University of Surrey, Guildford, United Kingdom
| | - Mary Louise Hull
- Robinson Research Institute, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia; Embrace Fertility, Adelaide, Australia
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Tan S, Leonardi M, Lo G, Lee E. Role of ultrasonography in the diagnosis of endometriosis in infertile women: Ovarian endometrioma, deep endometriosis, and superficial endometriosis. Best Pract Res Clin Obstet Gynaecol 2024; 92:102450. [PMID: 38096645 DOI: 10.1016/j.bpobgyn.2023.102450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 11/22/2023] [Accepted: 11/24/2023] [Indexed: 02/06/2024]
Abstract
Endometriosis is a complex chronic inflammatory process characterised by the presence of endometrial-like glandular tissue outside the uterine cavity, typically within the pelvic structures. This condition affects up to 10-15 % of women and those assigned female at birth, and can result in chronic pelvic pain and in/subfertility. Treatment goals include medical, surgical options and alternative therapies. Transvaginal ultrasound (TVUS) is the currently recommended first line investigation for endometriosis with magnetic resonance imaging (MRI) reserved for those with equivocal ultrasound findings. In this paper, we aim to outline the commonly seen sonographic appearances of endometriosis divided into anterior, middle and posterior pelvic compartments. Limitations to ultrasound imaging include high operator dependence and patient factors. New imaging techniques and research into the utility of artificial intelligence (AI) into the detection of endometriosis is currently underway, with possibility of reduced diagnostic delay and better patient outcomes.
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Affiliation(s)
- Samantha Tan
- Fiona Stanley Hospital, Murdoch, Western Australia, Australia.
| | - Mathew Leonardi
- Department of Obstetrics and Gynecology, McMaster University, Hamilton, Canada; Robinson Research Institute, University of Adelaide, Adelaide, Australia.
| | - Glen Lo
- Sir Charles Gairdner Hospital, Perth, Western Australia, Australia; Curtin University Medical School, Perth, Western Australia, Australia; Western Ultrasound for Women, Perth, Western Australia, Australia.
| | - Emmeline Lee
- Sir Charles Gairdner Hospital, Perth, Western Australia, Australia; Western Ultrasound for Women, Perth, Western Australia, Australia.
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van den Beukel BAW, de Wilde B, Joosten F, van Goor H, Venderink W, Huisman HJ, Ten Broek RPG. Quantifiable Measures of Abdominal Wall Motion for Quality Assessment of Cine-MRI Slices in Detection of Abdominal Adhesions. J Imaging 2023; 9:jimaging9050092. [PMID: 37233312 DOI: 10.3390/jimaging9050092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 04/26/2023] [Accepted: 04/26/2023] [Indexed: 05/27/2023] Open
Abstract
Abdominal adhesions present a diagnostic challenge, and classic imaging modalities can miss their presence. Cine-MRI, which records visceral sliding during patient-controlled breathing, has proven useful in detecting and mapping adhesions. However, patient movements can affect the accuracy of these images, despite there being no standardized algorithm for defining sufficiently high-quality images. This study aims to develop a biomarker for patient movements and determine which patient-related factors influence movement during cine-MRI. Included patients underwent cine-MRI to detect adhesions for chronic abdominal complaints, data were collected from electronic patient files and radiologic reports. Ninety slices of cine-MRI were assessed for quality, using a five-point scale to quantify amplitude, frequency, and slope, from which an image-processing algorithm was developed. The biomarkers closely correlated with qualitative assessments, with an amplitude of 6.5 mm used to distinguish between sufficient and insufficient-quality slices. In multivariable analysis, the amplitude of movement was influenced by age, sex, length, and the presence of a stoma. Unfortunately, no factor was changeable. Strategies for mitigating their impact may be challenging. This study highlights the utility of the developed biomarker in evaluating image quality and providing useful feedback for clinicians. Future studies could improve diagnostic quality by implementing automated quality criteria during cine-MRI.
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Affiliation(s)
| | - Bram de Wilde
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Frank Joosten
- Department of Radiology and Nuclear Medicine, Hospital Rijnstate Arnhem, 6815 AD Arnhem, The Netherlands
| | - Harry van Goor
- Department of Surgery, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Wulphert Venderink
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Henkjan J Huisman
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Richard P G Ten Broek
- Department of Surgery, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
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Quesada J, Härmä K, Reid S, Rao T, Lo G, Yang N, Karia S, Lee E, Borok N. Endometriosis: A multimodal imaging review. Eur J Radiol 2023; 158:110610. [PMID: 36502625 DOI: 10.1016/j.ejrad.2022.110610] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 10/07/2022] [Accepted: 11/10/2022] [Indexed: 11/17/2022]
Abstract
Endometriosis is a chronic inflammatory disorder characterized endometrial-like tissue present outside of the uterus, affecting approximately 10% of reproductive age women. It is associated with abdomino-pelvic pain, infertility and other non - gynecologic symptoms, making it a challenging diagnosis. Several guidelines have been developed by different international societies to diagnose and classify endometriosis, yet areas of controversy and uncertainty remains. Transvaginal ultrasound (TV-US) is the first-line imaging modality used to identify endometriosis due to its accessibility and cost-efficacy. Enhanced sonographic techniques are emerging as a dedicated technique to evaluate deep infiltrating endometriosis (DIE), depending on the expertise of the sonographer as well as the location of the lesions. MRI is an ideal complementary modality to ultrasonography for pre-operative planning as it allows for a larger field-of-view when required and it has high levels of reproducibility and tolerability. Typically, endometriotic lesions appear hypoechoic on ultrasonography. On MRI, classical features include DIE T2 hypointensity, endometrioma T2 hypointensity and T1 hyperintensity, while superficial peritoneal endometriosis (SPE) is described as a small focus of T1 hyperintensity. Imaging has become a critical tool in the diagnosis, surveillance and surgical planning of endometriosis. This literature review is based mostly on studies from the last two decades and aims to provide a detailed overview of the imaging features of endometriosis as well as the advances and usefulness of different imaging modalities for this condition.
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Affiliation(s)
- Juan Quesada
- Department of Obstetrics & Gynecology, Campbelltown Hospital (South-Western Sydney Local Health District), Terry Rd, Campbelltown, NSW 2560, Australia.
| | - Kirsi Härmä
- Department of Diagnostic, Interventional and Pediatric Radiology - University Hospital of Bern, Inselspital, University of Bern, Freiburgstrasse, CH-3010 Bern, Switzerland.
| | - Shannon Reid
- Western Sydney University, Faculty of Medicine, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia; Sonacare Women's Health and Ultrasound, Harrington, NSW 2567, Australia
| | - Tanushree Rao
- Department of Obstetrics & Gynecology at Liverpool Hospital, Liverpool Hospital, Locked Bag 7103, Liverpool BC, NSW 1871, Australia
| | - Glen Lo
- Department of Radiology, Sir Charles Gairdner Hospital, Hospital Avenue, Nedlands, WA 6009, Australia; The Western Ultrasound for Women, 1/160a Cambridge St, West Leederville, Perth, WA 6007, Australia.
| | - Natalie Yang
- Department of Radiology, The Austin Hospital, 145 Studley Rd, Heidelberg, Victoria 3084, Australia.
| | - Sonal Karia
- Department of Obstetrics & Gynecology, Campbelltown Hospital (South-Western Sydney Local Health District), Terry Rd, Campbelltown, NSW 2560, Australia.
| | - Emmeline Lee
- Department of Radiology, Sir Charles Gairdner Hospital, Hospital Avenue, Nedlands, WA 6009, Australia; The Western Ultrasound for Women, 1/160a Cambridge St, West Leederville, Perth, WA 6007, Australia
| | - Nira Borok
- Department of Radiology, Liverpool Hospital, Locked Bag 7103, Liverpool BC, NSW 1871, Australia.
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Youn P, Copson S, Jacques A, Haliczenko K, McDonnell R, Lo G. Spiders and mushrooms: Reporting bowel endometriosis shape on preoperative MRI to flag surgical complexity. J Med Imaging Radiat Oncol 2022; 66:905-912. [PMID: 35107223 DOI: 10.1111/1754-9485.13378] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 12/22/2021] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Preoperative imaging of patients with endometriosis allows adequate counselling, referral to appropriate centres of expertise and workforce planning. The objective of this study was to assess the feasibility of simplified three-category preoperative endometriosis MRI morphological descriptors to predict subsequent surgical management. METHODS A single-centre observational study in 76 patients (median age 38 years, range 18-55) with preoperative endometriosis mapping MRI between 1 Jan 2015 and 31 Dec 2019. MRI studies were prospectively re-read blind-to-surgical outcome to categorise rectosigmoid morphology as normal, spider-shaped (linear T2-dark fibrotic bands) superficial endometriosis or typical crescentic or mushroom-shaped deep infiltrating endometriosis (DIE). Bowel motility was similarly categorised as normal, tethered or distorted/fixed. The reference standard was subsequent surgery within 3 years of MRI, categorised as no bowel surgery, adhesiolysis only or more complex surgeries. RESULTS Despite three-quarters of surgical cases having normal bowel morphology on preoperative MRI (72%, 55/76; 12% linear superficial endometriosis, 10% crescentic and 5% mushroom-shaped DIE) more than half showed bowel tethering (54%, 41/76) or distortion/fixation (10%, 8/76) and most patients underwent adhesiolysis (79%, 60/76). Complex surgery such as bowel resection, laparotomy conversion or complex adhesiolysis is predicted by morphology (crescentic or mushroom-shaped DIE, P < 0.001) and motility (tethered or distorted bowel, P = 0.002) descriptors. CONCLUSIONS Comprehensive and clinically relevant diagnostic reporting does not have to be convoluted to have clinical impact: in our study population, categorising bowel morphology as normal, spider-shaped (superficial) or crescentic/mushroom-(DIE) shaped and motility as normal, tethered (superficial) or distorted/fixed (deep endometriosis) correlates to subsequent surgical complexity.
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Affiliation(s)
- Paul Youn
- Diagnostic Imaging, King Edward Memorial Hospital, Subiaco, Western Australia, Australia.,Diagnostic Imaging, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
| | - Sean Copson
- Obstetrics & Gynaecology, King Edward Memorial Hospital, Subiaco, Western Australia, Australia
| | - Angela Jacques
- Department of Research, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia.,Institute for Health Research, The University of Notre Dame, Fremantle, Western Australia, Australia
| | - Kylie Haliczenko
- Diagnostic Imaging, King Edward Memorial Hospital, Subiaco, Western Australia, Australia
| | - Rose McDonnell
- Obstetrics & Gynaecology, King Edward Memorial Hospital, Subiaco, Western Australia, Australia
| | - Glen Lo
- Diagnostic Imaging, King Edward Memorial Hospital, Subiaco, Western Australia, Australia.,Diagnostic Imaging, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia.,Faculty of Health and Medical Science, The University of Western Australia, Nedlands, Western Australia, Australia.,Curtin Medical School, Curtin University, Bentley, Western Australia, Australia
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