Imaging Method For Diagnosis Research Articles

Staging and Restaging Pediatric Abdominal and Pelvic Tumors: A Practical Guide.

The most common abdominal malignancies diagnosed in the pediatric population include neuroblastoma, Wilms tumor, hepatoblastoma, lymphoma, germ cell tumor, and rhabdomyosarcoma. There are distinctive imaging findings and patterns of spread for each of these tumors that radiologists must know for diagnosis and staging and for monitoring the patient's response to treatment. The multidisciplinary treatment group that includes oncologists, surgeons, and radiation oncologists relies heavily on imaging evaluation to identify the best treatment course and prognostication of imaging findings, such as the image-defined risk factors for neuroblastomas, the PRETreatment EXtent of Disease staging system for hepatoblastoma, and the Ann Arbor staging system for lymphomas. It is imperative for radiologists to be able to correctly indicate the best imaging methods for diagnosis, staging, and restaging of each of these most prevalent tumors to avoid inconclusive or unnecessary examinations. The authors review in a practical manner the most updated key points in diagnosing and staging disease and assessing response to treatment of the most common pediatric abdominal tumors. ©RSNA, 2024 Supplemental material is available for this article.

Європейські рекомендації 2023 року щодо лікування кардіоміопатій та впровадження їх у практику в Україні

In this article we analyzed the main positions of the recommendations of the European Society of Cardiology regarding the treatment of cardiomyopathies and presented the actual issues of implementing recommendations into clinical practice in Ukraine. The diagnostic flowchat of a patient with suspected cardiomyopathy is presented. Five phenotypes of cardiomyopathies are presented with current definition. New fenotype of non-dilated left ventricular cardiomyopathy is presented. The role of various imaging methods in diagnosis of cardiomyopathy phenotype is considered. The role of methods of genetic testing and magnetic resonance imaging of the heart with contrast is determined. The attention is focused on the need to differentiate the etiology of phenotypes and phenocopies of cardiomyopathies for pathogenetic treatment. Methods of assessing the risk of sudden cardiac death in cardiomyopathies and methods of secondary and primary prevention are discussed. Calculators for the risk of sudden death in cardiomyopathies and indications for implantation of a cardioverter-defibrillator are given. The management of patients with atrial fibrillation in various cardiomyopathies is determined. The issue of treatment of heart failure in patients with different phenotypes and ethiology of cardiomyopathies is discussed. Attention is focused on the role of «cardiomyopathy teams» in cardiological centers. An experience of echocardiographic diagnostics of cardiomyopathies, genetic testing, usage of magnetic resonance imaging in cardiomyopathies is presented.

An overview of cutaneous squamous cell carcinoma imaging diagnosis methods.

Cutaneous squamous cell carcinoma, a type of non-melanoma skin cancer, is a form of keratinocyte carcinoma that stands as one of the most prevalent cancers, exhibiting a rising frequency. This review provides an overview of the latest literature on imaging methods for diagnosing squamous cell carcinoma (SCC) and actinic keratosis (AK). It discusses the diagnostic criteria, advantages, and disadvantages of various techniques such as dermatoscopy, skin ultrasound (US), in vivo and ex-vivo reflectance confocal microscopy (RCM), and line-field confocal optical coherence tomography (LC-OCT). These methods offer benefits including non-invasiveness, rapidity, comprehensive lesion imaging, and enhanced sensitivity, but face challenges like high costs and the need for specialized expertise. Despite obstacles, the use of these innovative techniques is expected to increase with ongoing technological advancements, improving diagnosis and treatment planning for keratinocyte carcinomas. Standardizing LC-OCT imaging algorithms for AK, Bowen's disease, and SCC remains an area for further research.

The novel imaging methods in diagnosis and assessment of cerebrovascular diseases: an overview.

Cerebrovascular diseases, including ischemic strokes, hemorrhagic strokes, and vascular malformations, are major causes of morbidity and mortality worldwide. The advancements in neuroimaging techniques have revolutionized the field of cerebrovascular disease diagnosis and assessment. This comprehensive review aims to provide a detailed analysis of the novel imaging methods used in the diagnosis and assessment of cerebrovascular diseases. We discuss the applications of various imaging modalities, such as computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), and angiography, highlighting their strengths and limitations. Furthermore, we delve into the emerging imaging techniques, including perfusion imaging, diffusion tensor imaging (DTI), and molecular imaging, exploring their potential contributions to the field. Understanding these novel imaging methods is necessary for accurate diagnosis, effective treatment planning, and monitoring the progression of cerebrovascular diseases.

Cn2a-capsnet: a capsule network and CNN-attention based method for COVID-19 chest X-ray image diagnosis

Due to its high infectivity, COVID-19 has rapidly spread worldwide, emerging as one of the most severe and urgent diseases faced by the global community in recent years. Currently, deep learning-based diagnostic methods can automatically detect COVID-19 cases from chest X-ray images. However, these methods often rely on large-scale labeled datasets. To address this limitation, we propose a novel neural network model called CN2A-CapsNet, aiming to enhance the automatic diagnosis of COVID-19 in chest X-ray images through efficient feature extraction techniques. Specifically, we combine CNN with an attention mechanism to form the CN2A model, which efficiently mines relevant information from chest X-ray images. Additionally, we incorporate capsule networks to leverage their ability to understand spatial information, ultimately achieving efficient feature extraction. Through validation on a publicly available chest X-ray image dataset, our model achieved a 98.54% accuracy and a 99.01% recall rate in the binary classification task (COVID-19/Normal) on a six-fold cross-validation dataset. In the three-class classification task (COVID-19/Pneumonia/Normal), it attained a 96.71% accuracy and a 98.34% recall rate. Compared to the previous state-of-the-art models, CN2A-CapsNet exhibits notable advantages in diagnosing COVID-19 cases, specifically achieving a high recall rate even with small-scale datasets.

Explainable Deep Learning Methods in Medical Image Classification: A Survey

The remarkable success of deep learning has prompted interest in its application to medical imaging diagnosis. Even though state-of-the-art deep learning models have achieved human-level accuracy on the classification of different types of medical data, these models are hardly adopted in clinical workflows, mainly due to their lack of interpretability. The black-box nature of deep learning models has raised the need for devising strategies to explain the decision process of these models, leading to the creation of the topic of eXplainable Artificial Intelligence (XAI). In this context, we provide a thorough survey of XAI applied to medical imaging diagnosis, including visual, textual, example-based and concept-based explanation methods. Moreover, this work reviews the existing medical imaging datasets and the existing metrics for evaluating the quality of the explanations. In addition, we include a performance comparison among a set of report generation–based methods. Finally, the major challenges in applying XAI to medical imaging and the future research directions on the topic are discussed.

An Extensive Review on Imaging Diagnosis Methods in Takotsubo Syndrome.

Takotsubo Syndrome (TS) is an acute, reversible cardiac dysfunction, with complex, not entirely understood pathophysiology and heterogeneous clinical picture. Imaging methods each have a crucial role in the diagnosis, in-hospital management, short term and long term follow up. Coronary angiography needs to be performed, especially in the setting of a suspected acute coronary syndrome, in order to rule out coronary artery disease. Echocardiography plays a central role both in the acute and the chronic phase. It is the first imaging investigation performed in patients with TS, valuable to diagnose systolic dysfunction, the wall motion pattern and early complications. Cardiac magnetic resonance tissue characterization provides an essential role in the differential diagnosis of TS with other non-ischemic causes of systolic dysfunction. This review focuses on the imaging methods and the important part they play in the complex management of the disease.

A rare case presentation of combined enteric duplication cyst both tubular and cystic

Enteric duplication cyst are rare congenital malformations of children and can develop anywhere along the gastrointestinal (GI) tract being ileum the most frequent location, they don’t communicate with GI lumen. They are usually detected prenatally or in first years of life. The size, location, type, mucosal pattern produces varied clinical presentation and different imaging findings. Ultrasonography (USG) is the most commonly used imaging method for diagnosis. A 4-year-old boy was admitted in our hospital for recurrent on and off abdominal pain, on getting USG he has diagnosed has having tubular enteric duplication cyst on both USG and computed tomography (CT) scan. Surgery performed and resection and anastomosis done. Macroscopic and histologic findings confirmed the diagnosis of enteric duplication cyst arising from ileum. Although intestinal duplications are considered to be benign lesions, they may result in significant morbidity and mortality if left untreated.

Intraluminal Hematoma: A Rare Case of Grelic Intestinal Obstruction: Case Report

Anticoagulant drugs are widely used for various purposes as a prophylactic agent or for treatment and its most common side effect is bleeding. Intramural hematoma of the small intestine due to use of high-dose anticoagulation is the most common form. Computed tomography (CT) is the most commonly used imaging method in diagnosis. Conditions requiring surgery are serious intraluminal bleeding, bowel perforation or the presence of ischemia.

A novel method for multichannel discharge image diagnosis in gas switches based on multi-axis tomography techniques

The discharge channel is a crucial diagnostic tool for identifying the properties of gas switches. However, single-view images cannot easily be used to inherently understand the discharge channel characteristics of trigger electrodes. A reconstruction method of the discharge channel in gas switches is proposed based on a multi-axis tomography technique, which uses very few projections of optical images to reconstruct the location of a multichannel discharge in annular electrodes. In this paper, an algorithm named TVM-OSEM (total variation minimization ordered subsets expectation maximization) is proposed, which can effectively remove artifact noise to improve the reconstruction accuracy of discharge channels. The method is validated against simulations of a radiator with high-density-difference boundary. The calculated discharge channel distribution from one experiment is presented.

Prevalence and morphometry of sternal and xiphoid foramen: a meta-analysis on 16,666 subjects

PurposeSternal foramen is a perforation of the sternum that can be a source of misdiagnosis during radiographic imaging or life-threatening perforations during bone marrow sampling. The aim of this study was to conduct a meta-analysis on the prevalence, morphometrics, and location of foramen in the sternal body and xiphoid process, describe morphometric features of this phenomenon, and thus verify its clinical importance. Moreover, our secondary outcome was to compare effectiveness of various imaging methods in diagnosis of the sternal or xiphoid foramen.MethodsA comprehensive search was conducted on major scientific databases to identify studies containing relevant information. Data on foramen’s prevalence, location, morphometrics, and accompanying findings were extracted and pooled into a meta-analysis using MetaXL 5.0.ResultsThirty-five studies (n = 16,666 subjects) were included. The overall pooled prevalence of a foramen in the sternal body and/or a xiphoid process was 8.9% (95% CI 6.5–11.7) and it equaled 6.5% (95% CI 5.6–7.6) for sternal body alone and 2.9% (95% CI 0.5–6.9) for the xiphoid process. The foramen was more prevalent in males than in females (12.2% vs. 6.8%). The prevalence of sternal foramen was higher in South American [13.9% (95% CI 11.2–16.9)] and African [13.6% (95% CI 9.7–18.0)] studies compared to North American [6.2% (95% CI 5.0–7.5)] and European populations [8.6% (95% CI 3.1–16.3)]. Mean transverse and vertical diameter of foramen equaled 4.7 mm (95% CI 3.8–5.5), and 5.6 mm (95% CI 4.2–6.9), respectively.ConclusionOur analysis proves that the sternal foramina are structures of significant prevalence and size. Any physician should keep them in mind when performing punctures in this area.

Core exploration of progress in diagnosis and treatment of solitary pulmonary nodules

Solitary pulmonary nodule (SPN) is a common imaging manifestation in clinic, which is usually found accidentally during routine physical examination or routine chest imaging examination in hospital due to other diseases. Solitary pulmonary nodules can be either benign or malignant, and the clinical treatment is different for different natures. Therefore, how to evaluate and accurately judge the nature of solitary pulmonary nodules is particularly important for the selection of treatment. This article reviews the literature on evaluation strategies, imaging diagnosis methods and treatment methods of solitary pulmonary nodules in recent years, and summarizes them as follows.

A Novel Sep-Unet Architecture of Convolutional Neural Networks to Improve Dermoscopic Image Segmentation by Training Parameters Reduction

Nowadays, we use dermoscopic images as one of the imaging methods in diagnosis of skin lesions such as skin cancer. But due to the noise and other problems, including hair artifacts around the lesion, this issue requires automatic and reliable segmentation methods. The diversity in the color and structure of the skin lesions is a challenging reason for automatic skin lesion segmentation. In this study, we used convolutional neural networks (CNN) as an efficient method for dermoscopic image segmentation. The main goal of this research is to recommend a novel architecture of deep neural networks for the injured lesion in dermoscopic images which has been improved by the convolutional layers based on the separable layers. By convolutional layers and the specific operations on the kernel of them, the velocity of the algorithm increases and the training parameters decrease. Additionally, we used a suitable preprocessing method to enter the images into the neural network. Suitable structure of the convolutional layers, separable convolutional layers and transposed convolution in the down sampling and up sampling parts, have made the structure of the mentioned neural network. This algorithm is named Sep-unet and could segment the images with 98% dice coefficient.

Evaluation of Accuracy of Shear Wave Elastography and Superb Microvascular Imaging Methods in Diagnosis of Piriformis Syndrome: A Preliminary Study.

Piriformis syndrome is a neuromuscular disease resulting from sciatic nerve compression caused by an abnormal condition in the piriformis muscle. Superb microvascular imaging (SMI) is a new ultrasound imaging technique that visualizes low-velocity and small-diameter blood vessel flow. In our prospectively designed study, we aimed to evaluate the accuracy of diagnosis of piriformis syndrome with innovative methods such as shear wave elastography (SWE) and SMI. Thirty-two patients diagnosed with unilateral piriformis syndrome were accepted to the statistical stage. The side without symptoms was considered the "unaffected side." Bilateral piriformis muscles were examined by ultrasonography. Muscle thickness was determined on gray scale, stiffness on SWE and vascularity characteristics on power Doppler and SMI by two independent radiologists. Piriformis muscle stiffness on the non-pathological (unaffected) side was measured by SWE as 18.27 ± 7.301 kPa, and the mean stiffness on the pathological side was 29.70 ± 10.095 kPa. Pathological side muscle stiffness was significantly higher (p < 0.05). Using innovative methods such as SWE and SMI in addition to conventional ultrasonography as much as possible in our daily practice and research helps us in making the correct diagnosis in piriformis syndrome.

Multimodal ultrasound imaging: A method to improve the accuracy of diagnosing thyroid TI-RADS 4 nodules.

Thyroid nodule is a common and frequently occurring disease in the neck in recent years, and ultrasound has become the preferred imaging diagnosis method for thyroid nodule due to its advantages of noninvasive, nonradiation, real-time, and repeatable. The thyroid imaging, reporting and data system (TI-RADS) classification standard scores suspicious nodules that are difficult to determine benign and malignant as grade 4, and further pathological puncture is recommended clinically, which may lead to a large number of unnecessary biopsies and operations. Including conventional ultrasound, ACR TI-RADS, shear wave elastography, super microvascular imaging, contrast enhanced ultrasound, "firefly," artificial intelligence, and multimodal ultrasound imaging used in combination. In order to identify the most clinically significant malignant tumors when reducing invasive operations. This article reviews the application and research progress of multimodal ultrasound imaging in the diagnosis of TI-RADS 4 thyroid nodules.

Ultrasound elastography in the diagnosis of biliary atresia in pediatric surgery: a systematic review and meta-analysis of diagnostic test

BackgroundBiliary atresia (BA) is one of the most fatal hepatobiliary diseases in infants and young children, and is easy to cause obstructive jaundice in infants and children, and liver transplantation in children. BA and infantile hepatitis syndrome are the main causes of cholestatic jaundice. The early clinical manifestations are extremely similar, and timely identification is difficult. Therefore, early and differential diagnosis of BA is crucial. At present, there are many imaging diagnosis methods for BA, such as ultrasound examination and nuclear magnetic resonance. Ultrasound elastography (USE) is the most popular method. However, the application of USE in BA is still in the exploratory stage.MethodsPubMed, Web of Science, Embase, Cochrane Library, and other databases were searched for articles on USE diagnosis of pediatric surgical BA. Later, the articles were screened, and the included articles should meet the following requirements: the research objects were children with BA; the intervention measures were USE diagnosis; the control group was diagnosed by other methods than USE. RevMan5.3 was adopted for quality assessment, and forest maps and summary receiver operating characteristic (SROC) curves were constructed.ResultsFinally, seven articles covering 490 patients were included. There were 120 patients in the control group. The included articles showed good quality and there was no obvious bias. The area under the SROC curve (AUC) for USE diagnosis of BA was 0.93, the sensitivity was 0.93 (95% CI: 0.72–1.00), and the specificity was 0.95 (95% CI: 0.74–1.00).DiscussionUSE showed high diagnostic value for pediatric surgical biliary tract closure.

Association of Treatment Advances With Survival Rates in Pediatric Patients With Nasopharyngeal Carcinoma in China, 1989-2020

Advanced techniques and treatment methods have been found to be associated with improved survival rates in adults with nasopharyngeal carcinoma (NPC); however, not much is known about associations in pediatric patients. To investigate whether advanced imaging diagnosis, radiotherapy (RT) technology, and treatment modality are associated with survival in pediatric patients with NPC. In this retrospective cohort study, 810 pediatric patients ages 21 years and younger with nonmetastatic NPC diagnosed from 1989 to 2020 at a single cancer center in China were included. Data were analyzed from April through December 2021. Patients were divided into 3 groups by initial treatment date (ie, 1989-2002, 2003-2011, and 2012-2020). Associations between advances in technology and treatment and survival were investigated. Comparisons of advances vs older technology and treatments included those in imaging diagnosis (magnetic resonance imaging [MRI] vs computed tomography [CT] and positron emission tomography [PET]-CT with MRI vs CT), radiotherapy (RT) techniques (intensity-modulated RT [IMRT] or TomoTherapy [TOMO] vs 2-dimensional conventional radiotherapy [2D-CRT] or 3-dimensional conventional radiotherapy [3D-CRT]), and treatment methods (concurrent chemoradiotherapy [CCRT] vs RT alone, induction chemotherapy [IC] with CCRT vs RT alone, and CCRT or RT with adjuvant chemotherapy [AC] vs RT alone). The primary end point was progression-free survival (PFS). Secondary end points were overall survival (OS), distant metastasis-free survival, and locoregional recurrence-free survival. Cox and competing-risks regression were used to estimate hazard ratios (HRs) and 95% CIs for associations between variables and survival. Among 810 pediatric patients with NPC, the median (IQR) age was 18 (15-20) years, and there were 577 [71.2%] male patients. This included 122 patients in the 1989 to 2002 period, 212 patients in the 2003 to 2011 period, and 476 patients in the 2012 to 2020 period. The 5-year PFS and OS rates increased, respectively, from 65.9% (95% CI, 56.6%-73.7%) and 69.9% (95% CI, 60.7%-77.4%) in 1989 to 2002 to 79.8% (95% CI, 73.7%-84.7%) and 86.2% (95% CI, 80.6%-90.3%) in 2003 to 2011, then 88.1% (95% CI, 84.2%-91.1%) and 95.0% (95% CI, 91.5%-97.0%) in 2012 to 2020. The 5- year cumulative incidence of distant metastasis rate was similar in the 3 periods (1989-2002: 11.7% [95% CI, 7.0%- 19.4%]; 2003-2011: 18.0% [95% CI, 13.4%-24.0%]; 2012-2020: 10.4% [95% CI, 7.6%-14.1%], while the 5-year cumulative incidence of locoregional recurrence rate decreased from 22.5% (95% CI, 15.9%-31.3%) in the first period to 2.9% (95% CI, 1.3%-6.3%) in the second period, remaining stable in the third period, at 4.3% (95% CI, 2.4%-7.6%). Advances in imaging diagnosis (MRI vs CT: hazard ratio [HR], 0.25 [95% CI, 0.17-0.38]; PET-CT with MRI vs CT: HR, 0.41 [95% CI, 0.27-0.62]), radiotherapy techniques (IMRT or TOMO vs 2D-CRT or 3D-CRT: HR, 0.42 [95% CI, 0.30-0.59]), and treatment methods (CCRT vs RT alone: HR, 0.55 [95% CI, 0.32-0.96]; IC with CCRT vs RT alone: HR, 0.59 [95% CI, 0.38-0.91]; CCRT or RT with AC vs RT alone: HR, 0.48 [95% CI, 0.25-0.91]) were associated with improved PFS. This study found that advanced techniques and treatment methods were associated with improved survival rates in pediatric patients with NPC, but distant failure remained a key challenge.

English

BACKGROUND Leptospirosis is a worldwide zoonosis. It has a wide range of clinical symptoms ranging from asymptomatic subclinical infection to life-threatening multi-organ dysfunction. Among cardiac manifestations, myocarditis carries utmost importance as it is associated with poor outcomes in terms of morbidity and mortality. Definitive diagnosis of myocarditis by endomyocardial biopsy is difficult to popularize taking economic cost and operational complexity. We chose echocardiography as the imaging diagnosis method of myocarditis rather than cardiovascular magnetic resonance. Diagnosis of myocarditis arrived by using ECG, Echo and Cardiac enzymes. We wanted to estimate the proportion of cardiac involvement by clinical, electrocardiographical, serological and echocardiographical evaluation of patients with leptospirosis admitted in the Medicine department of Govt. Medical College, Thiruvananthapuram and the association of thrombocytopenia among patients with cardiac involvement. METHODS After obtaining institutional approval, 138 leptospirosis patients were enrolled for this study. Patients were interviewed and blood samples were taken for estimation of platelet count and cardiac enzymes. Electrocardiogram and echocardiogram were done, data entered in to excel sheet and analyzed using SPSS. RESULTS In this study out of 138 patients, 11.6 % were having myocarditis as tested by using a combination of cardiac enzymes, ECG, Echo. Twelve percent of patients had echo findings suggestive of myocarditis. Mean platelet counts in patients with myocarditis were below 50000. CONCLUSIONS Cardiac involvement is a serious manifestation occurring in leptospirosis. Besides cardiac MRI, echocardiogram serves as a useful imaging modality in the diagnosis of myocarditis. An electrocardiogram is the most sensitive investigation for the identification of myocarditis. KEY WORDS Leptospirosis, Myocarditis, Echo, ECG, Cardiac Enzymes, Cardiac Involvement.

The diagnostic value of PET/CT for the lymph node metastasis in Asian patients with non-small cell lung cancer: A meta-analysis.

To evaluate the accuracy of positron emission tomography/computed tomography (PET/CT) in the diagnosis of lymph node metastasis in non-small cell lung cancer (NSCLC) by a method of meta-analysis. A comprehensive search of PubMed, Cochrane Library, China National Knowledge Infrastructure (CNKI), and Embase data bases was conducted to collect literature about PET/CT diagnosing lymph node metastasis of NSCLC up to December 1, 2021. Stata 15.0 software was used for the calculation of sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR). The publication bias was evaluated by Deeks' funnel plot. A total of 25 studies were enrolled, including 2,458 patients with NSCLC. The pooled sensitivity of PET/CT for diagnosing lymph node metastasis in NSCLC was 0.68 (95%CI: 0.61-0.75), the pooled specificity being 0.93 (95%CI: 0.89-0.95). Likelihood ratio syntheses gave an overall PLR of 9.4 (95%CI: 6.3-13.9), and NLR of 0.34 (95%CI: 0.28-0.41). The pooled DOR was 28 (95%CI: 19-40). The summary receiver operating characteristic curve showed the area under the curve of 0.88 (95%CI: 0.84-0.90). Positron emission tomography/CT has a good value in the diagnosis of lymph node metastasis of NSCLC, with specificity excellent. Positron emission tomography/CT can be used as one of the main imaging diagnosis methods for lymph node metastasis in patients with NSCLC.

Semantic consistency generative adversarial network for cross-modality domain adaptation in ultrasound thyroid nodule classification.

Deep convolutional networks have been widely used for various medical image processing tasks. However, the performance of existing learning-based networks is still limited due to the lack of large training datasets. When a general deep model is directly deployed to a new dataset with heterogeneous features, the effect of domain shifts is usually ignored, and performance degradation problems occur. In this work, by designing the semantic consistency generative adversarial network (SCGAN), we propose a new multimodal domain adaptation method for medical image diagnosis. SCGAN performs cross-domain collaborative alignment of ultrasound images and domain knowledge. Specifically, we utilize a self-attention mechanism for adversarial learning between dual domains to overcome visual differences across modal data and preserve the domain invariance of the extracted semantic features. In particular, we embed nested metric learning in the semantic information space, thus enhancing the semantic consistency of cross-modal features. Furthermore, the adversarial learning of our network is guided by a discrepancy loss for encouraging the learning of semantic-level content and a regularization term for enhancing network generalization. We evaluate our method on a thyroid ultrasound image dataset for benign and malignant diagnosis of nodules. The experimental results of a comprehensive study show that the accuracy of the SCGAN method for the classification of thyroid nodules reaches 94.30%, and the AUC reaches 97.02%. These results are significantly better than the state-of-the-art methods.