1
|
Takeuchi M, Matsuzaki K, Harada M. Improved diagnosis of adnexal lesions by integrating intra-tumoral hemorrhage detection with non-contrast MRI scoring (NCMS) using susceptibility-weighted sequences. Acta Radiol 2025:2841851251333551. [PMID: 40267331 DOI: 10.1177/02841851251333551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2025]
Abstract
BackgroundDynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) protocol was included into the Ovarian-Adnexal Reporting & Data System (O-RADS) MRI scoring system. To avoid the administration of contrast medium, the non-contrast MRI scoring (NCMS) system was proposed.PurposeTo evaluate the contribution of detecting intra-tumoral hemorrhage in the solid tissue of adnexal masses to improve tumor characterization and enhance the risk stratification of adnexal lesions using the NCMS system.Material and MethodsMRI findings including susceptibility-weighted sequences (T2*-weighted MR angiography [SWAN]) were retrospectively analyzed in 126 surgically confirmed adnexal tumors with solid tissue components (20 benign, 106 malignant). Solid tissue was classified as malignant based on the NCMS criteria, defined by intermediate intensity on T2-weighted (T2W) imaging, and corresponding diffusion restriction. Hemorrhage was assessed based on high intensity on T1-weighted (T1W) imaging and susceptibility-related signal voids on SWAN.ResultsThe NCMS solid tissue criteria identified malignancy with a sensitivity of 94.3%, specificity of 60%, and accuracy of 88.9%. High intensity on T1W imaging and signal voids on SWAN were observed in 23.6% and 72.6% of malignant lesions, compared to 0% and 5% in benign lesions, respectively. Hemorrhage was frequently observed in high-grade malignant tumors, or hemorrhagic subtypes. The combination of NCMS criteria and/or presence of intra-tumoral hemorrhage was associated with malignancy, yielding a sensitivity of 98.1%, specificity of 60%, and accuracy of 92.1%.ConclusionThe inclusion of intra-tumoral hemorrhage enhances the diagnostic accuracy of the NCMS for characterizing adnexal lesions. SWAN may also aid in estimating tumor grade and identifying hemorrhagic subtypes.
Collapse
Affiliation(s)
- Mayumi Takeuchi
- Department of Radiology, Tokushima University, Tokushima, Japan
| | - Kenji Matsuzaki
- Department of Radiological Technology, Tokushima Bunri University, Sanuki-city, Kagawa, Japan
| | - Masafumi Harada
- Department of Radiology, Tokushima University, Tokushima, Japan
| |
Collapse
|
2
|
de Mattos LA, Torres US, García Otaduy MC, Blasbalg R, D'Ippolito G. A "novel" MRI sequence for improving conspicuity and detection of hemorrhagic foci in pelvic endometriosis: Technical note. Eur J Radiol 2025; 185:112007. [PMID: 39985921 DOI: 10.1016/j.ejrad.2025.112007] [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: 10/16/2024] [Revised: 12/14/2024] [Accepted: 02/15/2025] [Indexed: 02/24/2025]
Abstract
There is a growing need to develop new MRI sequences to identify and characterize hemorrhagic foci within endometriosis lesions. These foci are pivotal, as they represent a significant component of the disease's pathophysiology and have been associated with increased inflammation and angiogenesis. However, their detection within a dense, mixed background of fibrotic tissue is challenging using conventional T1W sequences, even with fat suppression. In this technical report, we propose a T1W 3D-FSE sequence specifically optimized to enhance the detection of hemorrhagic foci in endometriosis. Future clinical validation holds promise for increasing MRI accuracy, ultimately impacting patient management, outcomes, and quality of life.
Collapse
Affiliation(s)
- Leandro Accardo de Mattos
- DASA Group, São Paulo, Brazil; Hospital Israelita Albert Einstein, Instituto Israelita de Ensino e Pesquisa Albert Einstein, São Paulo, Brazil; Department of Diagnostic Imaging, Escola Paulista de Medicina, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Ulysses S Torres
- Department of Diagnostic Imaging, Escola Paulista de Medicina, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil; Grupo Fleury, São Paulo, Brazil.
| | - Maria Concepción García Otaduy
- LIM-44, Instituto e Departmento de Radiologia, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | | | - Giuseppe D'Ippolito
- Department of Diagnostic Imaging, Escola Paulista de Medicina, Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil; Grupo Fleury, São Paulo, Brazil
| |
Collapse
|
3
|
Pang E, Shergill A, Chang S, Crivellaro P, Duigenan S, Green CR, Hamel C, Holmes S, Kielar A, Rehman I, Reinhold C, Al-Arnawoot B. CAR/CSAR Practice Statement on Pelvic MRI for Endometriosis. Can Assoc Radiol J 2025:8465371241306658. [PMID: 39772972 DOI: 10.1177/08465371241306658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2025] 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. Advanced pelvic ultrasound is essential in diagnosing and mapping pelvic endometriosis, but pelvic MRI serves as an excellent imaging tool in instances where access to advanced ultrasound is limited, or an alternative imaging modality is required. Despite the known utility of MRI for endometriosis, there is no consensus on imaging protocol and patient preparation in Canada. To improve patient care and support excellence in imaging, the Working Group has developed recommendations for the use of pelvic MRI to assess for endometriosis with an aim to standardize MRI technique for use in both community and academic practices across Canada. The guidelines provide recommendations regarding imaging technique and patient preparation for pelvic MRI, along with suggestions for structured reporting of pelvic MRI for endometriosis.
Collapse
Affiliation(s)
- Emily Pang
- Department of Radiology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Arvind Shergill
- Department of Radiology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Silvia Chang
- Department of Radiology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Priscila Crivellaro
- Schulich School of Medicine & Dentistry, University of Western Ontario, St. Joseph's Health Care, London, ON, Canada
| | - Shauna Duigenan
- Department of Radiology, Radiation Oncology and Medical Physics, University of Ottawa, The Ottawa Hospital, Ottawa, ON, Canada
| | | | - Candyce Hamel
- Canadian Association of Radiologists, Ottawa, ON, Canada
| | - Signy Holmes
- Joint Department of Medical Imaging, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Ania Kielar
- Max Rady College of Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - Iffat Rehman
- Department of Radiology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Caroline Reinhold
- Department of Diagnostic Radiology, McGill University Health Centre, Montreal, QC, Canada
| | - Basma Al-Arnawoot
- Department of Radiology, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
| |
Collapse
|
4
|
Alonzo L, Cannella R, Gullo G, Piombo G, Cicero G, Lopez A, Billone V, Andrisani A, Cucinella G, Lo Casto A, Lo Re G. Magnetic Resonance Imaging of Endometriosis: The Role of Advanced Techniques. J Clin Med 2024; 13:5783. [PMID: 39407843 PMCID: PMC11476566 DOI: 10.3390/jcm13195783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2024] [Revised: 09/04/2024] [Accepted: 09/23/2024] [Indexed: 10/20/2024] Open
Abstract
Endometriosis is a chronic inflammatory disease that affects about 10% of women, and it is characterized by the presence of endometrial tissue outside the uterine cavity. Associated symptoms are dyspareunia, chronic pelvic pain, and infertility. The diagnosis of endometriosis can be challenging due to various clinical and imaging presentations. Laparoscopy is the gold standard for the diagnosis, but it is an invasive procedure. The literature has increasingly promoted a switch to less invasive imaging techniques, such as ultrasound and magnetic resonance imaging (MRI). The latter, also in relation to the latest technological advances, allows a comprehensive and accurate assessment of the pelvis and it can also identify sites of endometriosis that escape laparoscopic evaluation. Furthermore, MRI has been found to be more accurate than other imaging techniques in relation to its improved sensitivity and specificity in identifying disease sites, also due to the role of new emerging sequences. This article aims to review the current role of advanced MRI applications in the assessment of endometriosis.
Collapse
Affiliation(s)
- Laura Alonzo
- Department of Biomedicine, Neuroscience and Advanced Diagnostic (BI.N.D.), University of Palermo, 90127 Palermo, Italy; (L.A.); (G.P.); (A.L.C.); (G.L.R.)
| | - Roberto Cannella
- Department of Biomedicine, Neuroscience and Advanced Diagnostic (BI.N.D.), University of Palermo, 90127 Palermo, Italy; (L.A.); (G.P.); (A.L.C.); (G.L.R.)
| | - Giuseppe Gullo
- Unit of Obstetrics and Gynecology, AOOR Villa Sofia Cervello, University of Palermo, 90100 Palermo, Italy; (G.G.); (A.L.); (V.B.); (G.C.)
| | - Giulia Piombo
- Department of Biomedicine, Neuroscience and Advanced Diagnostic (BI.N.D.), University of Palermo, 90127 Palermo, Italy; (L.A.); (G.P.); (A.L.C.); (G.L.R.)
| | - Giuseppe Cicero
- Department of Precision Medicine in Medical, Surgical and Critical Care Area, University of Palermo, 90127 Palermo, Italy;
| | - Alessandra Lopez
- Unit of Obstetrics and Gynecology, AOOR Villa Sofia Cervello, University of Palermo, 90100 Palermo, Italy; (G.G.); (A.L.); (V.B.); (G.C.)
| | - Valentina Billone
- Unit of Obstetrics and Gynecology, AOOR Villa Sofia Cervello, University of Palermo, 90100 Palermo, Italy; (G.G.); (A.L.); (V.B.); (G.C.)
| | - Alessandra Andrisani
- Unit of Gynecology and Obstetrics, Department of Women and Children’s Health, University of Padua, 35128 Padua, Italy;
| | - Gaspare Cucinella
- Unit of Obstetrics and Gynecology, AOOR Villa Sofia Cervello, University of Palermo, 90100 Palermo, Italy; (G.G.); (A.L.); (V.B.); (G.C.)
| | - Antonio Lo Casto
- Department of Biomedicine, Neuroscience and Advanced Diagnostic (BI.N.D.), University of Palermo, 90127 Palermo, Italy; (L.A.); (G.P.); (A.L.C.); (G.L.R.)
| | - Giuseppe Lo Re
- Department of Biomedicine, Neuroscience and Advanced Diagnostic (BI.N.D.), University of Palermo, 90127 Palermo, Italy; (L.A.); (G.P.); (A.L.C.); (G.L.R.)
| |
Collapse
|
5
|
Zhao H, Wang HT. Magnetic resonance imaging scanning susceptibility weighted imaging sequences in the diagnosis and prognostic evaluation of neonatal hypoxic-ischemic encephalopathy. World J Clin Cases 2024; 12:3012-3018. [PMID: 38898848 PMCID: PMC11185372 DOI: 10.12998/wjcc.v12.i17.3012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 04/09/2024] [Accepted: 04/18/2024] [Indexed: 06/04/2024] Open
Abstract
BACKGROUND Magnetic resonance imaging (MRI) scanning with susceptibility weighted imaging (SWI) sequences plays a significant role in the diagnosis and prognostic evaluation of neonatal hypoxic-ischemic encephalopathy (HIE). AIM To observe the role of MRI multi-parameter quantitative indexes in the diagnosis of neonatal HIE. METHODS The imaging data from 23 cases of neonatal HIE admitted to the Imaging Department of Ganyu District People's Hospital of Lianyungang City and 23 neonates without HIE admitted during the same period were analyzed retrospectively from August, 2021 to December, 2023. The results of clinical judgment were compared with the results of computed tomography (CT) and MRI examinations. RESULTS The degree of cerebral edema (more than moderate), the number of damaged brain regions (> 2), the number of cerebral hemorrhages (> 2), and the percentage of small venous dilatation detected were higher in MRI than in CT examination, and the differences were statistically significant (P < 0.05). The total area of the largest region of cerebral damage and of cerebral hemorrhage observed by MRI examination were significantly larger than those of CT examination (P < 0.01). Multiparametric quantitative MRI combined with diffusion weighted imaging and SWI had higher sensitivity and accuracy than CT diagnosis, and the difference was statistically significant (P < 0.05). The difference in the specificity of the two modes of diagnosis was not significant (P > 0.05). CONCLUSION The use of MRI multi-parameter quantitative indexes can accurately diagnose and evaluate neonatal HIE.
Collapse
Affiliation(s)
- Hui Zhao
- Department of Neonatology, Hanzhong People's Hospital, Hanzhong 723000, Shaanxi Province, China
| | - Hai-Tao Wang
- Department of Medical Imaging, Hanzhong People's Hospital, Hanzhong 723000, Shaanxi Province, China
| |
Collapse
|
6
|
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.
Collapse
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
| |
Collapse
|
7
|
Mansour S, Hamed S, Kamal R. Spectrum of Ovarian Incidentalomas: Diagnosis and Management. Br J Radiol 2023; 96:20211325. [PMID: 35142537 PMCID: PMC9975533 DOI: 10.1259/bjr.20211325] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/29/2022] [Accepted: 02/02/2022] [Indexed: 01/27/2023] Open
Abstract
Incidental ovarian lesions are asymptomatic lesions that are accidentally discovered during a CT or MRI examinations that involves the pelvic cavity or during a routine obstetric ultrasound study. Incidental ovarian masses are usually benign with a very low risk of malignancy yet underlying malignant pathology may be discovered during the diagnostic work-up of these lesions. Suspicion of malignancy is directly correlating with the increase in the patient's age, the increase in the size of the lesion, the presence of the solid components or thick septa and a high color scale of the ovarian mass. Following standard reporting and management protocols are essential to choose the proper work-up of these lesions to avoid unnecessary additional imaging and operative intervention. In this article, we will provide a review of the characteristic imaging features of some incidental and yet commonly encountered ovarian lesions. We will also summarize the recently published algorithms that are important for consistent reporting and standard management of these lesions.
Collapse
Affiliation(s)
| | - Soha Hamed
- Women’s Imaging Unit – Kasr El Ainy Hospital- Cairo University, Cairo, Egypt
| | | |
Collapse
|
8
|
T2*-Weighted Imaging Performance in the Detection of Deep Endometriosis among Readers with Different Experience: Comparison with Conventional MRI Sequences. Diagnostics (Basel) 2022; 12:diagnostics12071545. [PMID: 35885451 PMCID: PMC9315498 DOI: 10.3390/diagnostics12071545] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 06/17/2022] [Accepted: 06/22/2022] [Indexed: 11/30/2022] Open
Abstract
Magnetic resonance imaging (MRI) is an effective technique for the diagnosis and preoperative staging of deep infiltrative endometriosis (DIE). The usefulness of MRI sequences susceptible to chronic blood degradation products, such as T2*-weighted imaging, remains uncertain. The present study aims to evaluate the diagnostic performance of these sequences in addition to the conventional protocol for DIE assessment. Forty-four MRI examinations performed for clinical and/or ultrasound DIE suspicion were evaluated by three readers with variable experience in female imaging. The inter-observer agreement between the reader who analysed only the conventional protocol and the one who also considered T2*-weighted sequences was excellent. The less experienced reader diagnosed a significantly higher number of endometriosis foci on the T2*-weighted sequences compared with the most experienced observer. T2*-weighted sequences do not seem to provide significant added value in the evaluation of DIE, especially in less experienced readers. Furthermore, artifacts caused by undesirable sources of magnetic inhomogeneity may lead to overdiagnosis.
Collapse
|