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      Advances in artificial intelligence in thyroid-associated ophthalmopathy

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          Abstract

          Thyroid-associated ophthalmopathy (TAO), also referred to as Graves’ ophthalmopathy, is a medical condition wherein ocular complications arise due to autoimmune thyroid illness. The diagnosis of TAO, reliant on imaging, typical ocular symptoms, and abnormalities in thyroid function or thyroid-associated antibodies, is generally graded and staged. In recent years, Artificial intelligence(AI), particularly deep learning(DL) technology, has gained widespread use in the diagnosis and treatment of ophthalmic diseases. This paper presents a discussion on specific studies involving AI, specifically DL, in the context of TAO, highlighting their applications in TAO diagnosis, staging, grading, and treatment decisions. Additionally, it addresses certain limitations in AI research on TAO and potential future directions for the field.

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          Most cited references57

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          The 2016 European Thyroid Association/European Group on Graves' Orbitopathy Guidelines for the Management of Graves' Orbitopathy

          Graves' orbitopathy (GO) is the main extrathyroidal manifestation of Graves' disease, though severe forms are rare. Management of GO is often suboptimal, largely because available treatments do not target pathogenic mechanisms of the disease. Treatment should rely on a thorough assessment of the activity and severity of GO and its impact on the patient's quality of life. Local measures (artificial tears, ointments and dark glasses) and control of risk factors for progression (smoking and thyroid dysfunction) are recommended for all patients. In mild GO, a watchful strategy is usually sufficient, but a 6-month course of selenium supplementation is effective in improving mild manifestations and preventing progression to more severe forms. High-dose glucocorticoids (GCs), preferably via the intravenous route, are the first line of treatment for moderate-to-severe and active GO. The optimal cumulative dose appears to be 4.5-5 g of methylprednisolone, but higher doses (up to 8 g) can be used for more severe forms. Shared decision-making is recommended for selecting second-line treatments, including a second course of intravenous GCs, oral GCs combined with orbital radiotherapy or cyclosporine, rituximab or watchful waiting. Rehabilitative treatment (orbital decompression surgery, squint surgery or eyelid surgery) is needed in the majority of patients when GO has been conservatively managed and inactivated by immunosuppressive treatment.
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            Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation and Diagnosis: Is the Problem Solved?

            Delineation of the left ventricular cavity, myocardium, and right ventricle from cardiac magnetic resonance images (multi-slice 2-D cine MRI) is a common clinical task to establish diagnosis. The automation of the corresponding tasks has thus been the subject of intense research over the past decades. In this paper, we introduce the "Automatic Cardiac Diagnosis Challenge" dataset (ACDC), the largest publicly available and fully annotated dataset for the purpose of cardiac MRI (CMR) assessment. The dataset contains data from 150 multi-equipments CMRI recordings with reference measurements and classification from two medical experts. The overarching objective of this paper is to measure how far state-of-the-art deep learning methods can go at assessing CMRI, i.e., segmenting the myocardium and the two ventricles as well as classifying pathologies. In the wake of the 2017 MICCAI-ACDC challenge, we report results from deep learning methods provided by nine research groups for the segmentation task and four groups for the classification task. Results show that the best methods faithfully reproduce the expert analysis, leading to a mean value of 0.97 correlation score for the automatic extraction of clinical indices and an accuracy of 0.96 for automatic diagnosis. These results clearly open the door to highly accurate and fully automatic analysis of cardiac CMRI. We also identify scenarios for which deep learning methods are still failing. Both the dataset and detailed results are publicly available online, while the platform will remain open for new submissions.
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              THE 2021 EUROPEAN GROUP ON GRAVES’ ORBITOPATHY (EUGOGO) CLINICAL PRACTICE GUIDELINES FOR THE MEDICAL MANAGEMENT OF GRAVES’ ORBITOPATHY

              Graves’ orbitopathy (GO) is the main extrathyroidal manifestation of Graves’ disease (GD). Choice of treatment should be based on assessment of clinical activity and severity of GO. Early referral to specialized centers is fundamental for most patients with GO. Risk factors include smoking, thyroid dysfunction, high serum level of thyrotropin receptor antibodies, radioactive iodine (RAI) treatment, and hypercholesterolemia. In mild and active GO, control of risk factors, local treatments and selenium (selenium-deficient areas) are usually sufficient; if RAI treatment is selected to manage GD, low-dose oral prednisone prophylaxis is needed, especially if risk factors coexist. For both active moderate-to-severe and sight threatening GO, antithyroid drugs are preferred when managing Graves’ hyperthyroidism. In moderate-to-severe and active GO, intravenous (iv) glucocorticoids are more effective and better tolerated than oral glucocorticoids. Based on current evidence and efficacy/safety profile, costs and reimbursement, drug availability, long-term effectiveness and patient choice after extensive counselling, a combination of iv methylprednisolone and mycophenolate sodium is recommended as first-line treatment. A cumulative dose of 4.5 grams (g) of iv methylprednisolone in 12 weekly infusions is the optimal regimen. Alternatively, higher cumulative doses not exceeding 8 g can be used as monotherapy in most severe cases and constant/inconstant diplopia. Second-line treatments for moderate-to-severe and active GO include: a) a second course of iv methylprednisolone (7.5 g) subsequent to careful ophthalmic and biochemical evaluation, b) oral prednisone/prednisolone combined with either cyclosporine or azathioprine; c) orbital radiotherapy combined with oral or iv glucocorticoids, d) teprotumumab; e) rituximab and f) tocilizumab. Sight threatening GO is treated with several high single doses of iv methylprednisolone per week and, if unresponsive, with urgent orbital decompression. Rehabilitative surgery (orbital decompression, squint and eyelid surgery) is indicated for inactive residual GO manifestations.
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                Author and article information

                Contributors
                Journal
                Front Endocrinol (Lausanne)
                Front Endocrinol (Lausanne)
                Front. Endocrinol.
                Frontiers in Endocrinology
                Frontiers Media S.A.
                1664-2392
                23 April 2024
                2024
                : 15
                : 1356055
                Affiliations
                [1] 1 Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School , Shenzhen, China
                [2] 2 School of Medical Technology and Nursing, Shenzhen Polytechnic University , Shenzhen, China
                [3] 3 Shenzhen Eye Institute, Shenzhen Eye Hospital, Jinan University , Shenzhen, China
                [4] 4 Department of Endocrinology, First People’s Hospital of Huzhou, Huzhou University , Huzhou, China
                Author notes

                Edited by: Sijie Fang, Shanghai Jiao Tong University, China

                Reviewed by: Kai Jin, Zhejiang University, China

                Xuefei Song, Shanghai Ninth People’s Hospital, China

                *Correspondence: XingZhen Fei, fxz55998@ 123456163.com ; Weihua Yang, benben0606@ 123456139.com ; Guiqin Liu, liuguiqin1059@ 123456163.com

                †These authors have contributed equally to this work and share first authorship

                Article
                10.3389/fendo.2024.1356055
                11075148
                38715793
                39fade3f-8c07-466a-931f-1e93e6c7e0fb
                Copyright © 2024 Yi, Niu, Zhang, Rao, Liu, Yang and Fei

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 15 December 2023
                : 10 April 2024
                Page count
                Figures: 0, Tables: 3, Equations: 0, References: 57, Pages: 11, Words: 6824
                Funding
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by Shenzhen Fund for Guangdong Provincial High-level Clinical Key Specialties (SZGSP014), Sanming Project of Medicine in Shenzhen (SZSM202311012).
                Categories
                Endocrinology
                Review
                Custom metadata
                Thyroid Endocrinology

                Endocrinology & Diabetes
                artificial intelligence,deep learning,thyroid-associated ophthalmopathy,diagnosis,treatment

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