Current Medical Imaging - Volume 20, Issue 1, 2024

Objective This study aimed to predict liver injury in AP patients by establishing a radiomics model based on CECT. Methods A total of 1223 radiomic features were extracted from late arterial-phase pancreatic CECT images of 209 AP patients (146 in the training cohort and 63 in the test cohort), and the optimal radiomic features retained after dimensionality reduction by LASSO were used to construct a radiomic model through lo Read More

Objective The primary objective of this study was to conduct a comparative analysis of the diagnostic efficacy of [18F]-FDG PET/CT and [18F]-FDG PET/MRI in the detection of breast cancer lymph node metastasis. Methods We conducted a comprehensive search on PubMed, Embase, and Web of Science databases, encompassing eligible articles until March 2023. The pooled sensitivity and specificity for [18F]-FDG PET/CT and [1 Read More

Background Early detection of pulmonary nodules is critical for the clinical diagnosis and management of pulmonary nodules. Computed tomography imaging is currently the best imaging method for detecting pulmonary nodules. Objective This study proposes and applies a new thresholding-based method for identifying pulmonary nodules in computed tomography images. Methods The proposed method involve Read More

Background Accurate identification of vascular lumen region founded the base of bubble detection and bubble grading, which played a significant role in the detection of vascular gas emboli for the diagnosis of decompression sickness. Objective To assist in the detection of vascular bubbles, it is crucial to develop an automatic algorithm that could identify vascular lumen areas in ultrasound videos with the interference of bubbl Read More

Introduction The second highest cause of death among males is Prostate Cancer (PCa) in America. Over the globe, it’s the usual case in men, and the annual PCa ratio is very surprising. Identical to other prognosis and diagnostic medical systems, deep learning-based automated recognition and detection systems (i.e., Computer Aided Detection (CAD) systems) have gained enormous attention in PCA. Methods These paradig Read More

Background This research investigates the impact of pruning on reducing the computational complexity of a five-layered Convolutional Neural Network (CNN) designed for classifying MRI brain tumors. The study focuses on enhancing the efficiency of the model by removing less important weights and neurons through pruning. Objective This research aims to analyze the impact of pruning on the computational complexity o Read More

Background: Deep learning models have recently been preferred to perform certain image-processing tasks. Recently, with the increasing radiation, heat, and poor lighting conditions, the raw image samples may contain noisy and ambiguous information. Objective: To process these images, the deep learning model requires a large number of data samples to learn the missing information from other clear data sampl Read More

Introduction: Hyperostosis frontalis interna (HFI) is a common and often incidental finding seen on imaging. There is a significant paucity of radiology literature, particularly regarding the MRI imaging appearance of HFI. Case Presentation: We reported two cases of HFI on MRI, which showed focal enhancement. These were stable on long-term follow-up studies and thought to be most consistent with benign enhancem Read More

Purpose To investigate the feasibility of constructing new geometric parameters that correlate well with dosimetric parameters. Methods 100 rectal cancer patients were enrolled. The targets were identified manually, while the organs at risk (bladder, small bowel, left and right femoral heads) were segmented both manually and automatically. The radiotherapy plans were optimized according to the automatically contoured org Read More

BackgroundPatient safety is paramount in ultrasound procedures, particularly in obstetric ultrasounds involving both the mother and fetus. The thermal and mechanical indices (TI and MI) serve as crucial indicators of the acoustic output during ultrasound. Clinicians and specialists must know these indices and ensure they are within safe ranges. This study aimed to assess the parameters of acoustic output power employed in Read More

Objective Utilizing ultrasound radiomics, we developed a machine learning (ML) model to construct a nomogram for the non-invasive evaluation of glomerular status in diabetic kidney disease (DKD). Materials and Methods Patients with DKD who underwent renal biopsy were retrospectively enrolled between February 2017 and February 2023. The patients were classified into mild or moderate-severe glomerular severity base Read More

Purpose This study aimed to evaluate the Pharmacovigilance (PV) and severity of hypersensitivity reactions induced by non-ionic Iodinated Contrast Media (ICM) in the radiology diagnosis reported to the United States Food and Drug Administration Adverse Event Reporting System (FAERS). Methods We retrospectively reviewed the reports of ICM-induced hypersensitivity reactions submitted to the FAERS database between Ja Read More

Objective The increasing longevity of the population has made Alzheimer's disease (AD) a significant public health concern. However, the challenge of accurately distinguishing different disease stages due to limited variability within the same stage and the potential for errors in manual classification highlights the need for more precise approaches to classifying AD stages. In the field of deep learning, the ResNet50V2 mo Read More

Background: Accurate segmentation of liver tumor regions in medical images is of great significance for clinical diagnosis and the planning of surgical treatments. Recent advancements in machine learning have shown that convolutional neural networks are powerful in such image processing while largely reducing human labor. However, the variable shape, fuzzy boundary, and discontinuous tumor region of liver tu Read More

Background Patients with diffuse large B-cell lymphoma (DLBCL) often experience a poor prognosis due to cardiac damage induced by anthracycline chemotherapy, with left ventricular diastolic dysfunction manifesting early. Vector Flow Mapping (VFM) is a novel technology, and its effectiveness in detecting left ventricular diastolic dysfunction following anthracycline chemotherapy remains unverified. Object This stu Read More

Objective: This study aimed to investigate the impact of puerarin early intervention on growth parameters and Hepatic Fat Signal Fraction (HFF) quantification in Intrauterine Growth Restricted (IUGR) rats through Proton Magnetic resonance spectroscopy (1H-MRS). Methods: Pregnant rats were divided into three groups: control, IUGR with puerarin treatment, and IUGR without treatment. The treatment and non-treatment g Read More

Background Transorbital Ultrasonography (TOS) is a promising imaging technology that can be used to characterize the structures of the optic nerve and the potential alterations that may occur in those structures as a result of an increase in intracranial pressure (ICP) or the presence of other disorders such as multiple sclerosis (MS) and hydrocephalus. Objective In this paper, the primary objective is to develop a fully aut Read More

Introduction: This study introduces SkinLiTE, a lightweight supervised contrastive learning model tailored to enhance the detection and typification of skin lesions in dermoscopic images. The core of SkinLiTE lies in its unique integration of supervised and contrastive learning approaches, which leverages labeled data to learn generalizable representations. This approach is particularly adept at handling the challenge of complexiti Read More

Background Radiomics can quantify pulmonary nodule characteristics non-invasively by applying advanced imaging feature algorithms. Radiomic textural features derived from Computed Tomography (CT) imaging are broadly used to predict benign and malignant pulmonary nodules. However, few studies have reported on the radiomics-based identification of nodular Pulmonary Cryptococcosis (PC). Objective This stud Read More

Background Although clinical assessment has historically been the primary method used for diagnosing and staging pediatric localized scleroderma (LS), high-frequency ultrasonography (HFUS) is being investigated as a more accurate method for evaluating lesions. Objectives This study aimed to assess, compare dermal and subcutaneous tissue characteristics and enhance lesion staging in pediatric LS patients using HFUS. Metho Read More

Background Evidence of the association between obesity and renal cell carcinoma progression is contradictory. The effects of renal cell carcinoma on fat distribution are still unknown. Objective The goal of this study was to determine the ability of various forms of fat deposition to predict the Fuhrman nuclear grade of clear cell renal cell carcinoma [ccRCC]. Methods This retrospective study included 320 patients with pathologi Read More

Introduction Angiomatoid fibrous histiocytoma (AFH) is a borderline tumor usually affecting the the children or young adults. 18F-Fluorodexoyglucose (FDG) positron emission tomography/computed tomography (PET/CT) investigations of pulmonary AFH are rare, and there are currently no reports of intense FDG uptake in AFH. Case Report We report an AFH that occurred in the lung of a 57-year-old woman. She Read More

Background Early disease detection is emphasized within ophthalmology now more than ever, and as a result, clinicians and innovators turn to deep learning to expedite accurate diagnosis and mitigate treatment delay. Efforts concentrate on the creation of deep learning systems that analyze clinical image data to detect disease-specific features with maximum sensitivity. Moreover, these systems hold promise of early Read More

Background The growing rate of breast cancer necessitates immediate global attention. Mammography images are used to determine the stage of malignancy. Breast cancer stages must be identified in order to save a person's life. Objective This article's main goal is to identify different techniques to obtain the difference between two breast cancer mammography images taken of the same individual at different times. T Read More

Objective To investigate the magnetic resonance imaging (MRI) radiomics models in evaluating the human epidermal growth factor receptor 2(HER2) expression in breast cancer. Materials and Methods The MRI data of 161 patients with invasive ductal carcinoma (non-special type) of breast cancer were retrospectively collected, and the MRI radiomics models were established based on the MRI imaging features of the Read More

Background: Dermatofibrosarcoma Protuberans (DFSP) is a rare soft tissue sarcoma, accounting for approximately 1% of all tumors; however, DFSP of the breast is extremely rare. Moreover, DFSP generally has a low malignant potential and is characterized by a high rate of local recurrence along with a small but definite risk of metastasis. The risk of metastasis is higher in fibrosarcomatous transformation in DFSP Read More

Aims To develop and evaluate machine learning models using tumor and nodal radiomics features for predicting the response to neoadjuvant chemotherapy (NAC) and recurrence risk in locally advanced gastric cancer (LAGC). Background Early and accurate response prediction is vital to stratify LAGC patients and select proper candidates for NAC. Objective A total of 218 patients with LAGC undergoing NAC followed by ga Read More

Purpose To explore the potential of diffusion kurtosis imaging (DKI) for assessing the degree of liver injury in a paracetamol-induced rat model and to simultaneously investigate the effect of intravenous gadoxetate on DKI parameters. Methods Paracetamol was used to induce hepatoxicity in 39 rats. The rats were pathologically classified into 3 groups: normal (n=11), mild necrosis (n=18), and moderate necrosis (n=10). DKI was Read More

Objective This study aims to develop an ultrasomics model for predicting lymph node metastasis in patients with gastric cancer (GC). Methods This study enrolled GC patients who underwent preoperative ultrasound examination. Manual segmentation of the region of interest (ROI) was performed by an experienced radiologist to extract radiomics features using the Pyradiomics software. The Z-score algorithm was used Read More

Background Idiopathic Sudden Sensorineural Hearing Loss (ISSNHL) is related to alterations in brain cortical and subcortical structures, and changes in brain functional activities involving multiple networks, which is often accompanied by tinnitus. There have been many in-depth research studies conducted concerning ISSNHL. Despite this, the neurophysiological mechanisms of ISSNHL with tinnitus are still under exploratio Read More

Objective In this study, a radiomics model was created based on High-Resolution Computed Tomography (HRCT) images to noninvasively predict whether the sub-centimeter pure Ground Glass Nodule (pGGN) is benign or malignant. Methods A total of 235 patients (251 sub-centimeter pGGNs) who underwent preoperative HRCT scans and had postoperative pathology results were retrospectively evaluated. The nodules were ra Read More

Objective This study aimed to evaluate the diagnostic value of X-Map reconstruction based on Dual-Energy Computed Tomography (DECT) in acute ischemic stroke (AIS). Methods Sixty-six cases of suspected AIS patients hospitalized from November, 2021 to April, 2022 were retrospectively selected. DECT, Computed Tomography Perfusion imaging (CTP), Computed Tomography Angiography (CTA), and MRI were all performe Read More

Background: Ultrasound-guided microwave ablation (MWA) is recommended as a first-line treatment for early liver cancer due to its minimally invasive, efficient, and cost-effective nature. It utilizes microwave radiation to heat and destroy tumor cells as a local thermal therapy and offers the benefits of being minimally invasive, repeatable, and applicable to tumors of various sizes and locations. However, despite the effica Read More

Aim of the Study Post COVID-19, everyone needs to be aware of health. The condition of the human body is judged based on various health reports like X-ray, CT scan and MRI scan. Due to misplacement or loss of medical reports, there lies a high chance of improper diagnosis. Methods In order to avoid improper diagnosis, a novel data-hiding technique is proposed in this work. In the proposed method, the patient’s health record Read More

Background: Accurately predicting the hepatocellular carcinoma (HCC) grade may facilitate the rational selection of treatment strategies. The diagnostic efficacy of the combination of Gadolinium ethoxybenzy diethylenetriamine pentaacetic (Gd-EOB-DTPA) enhancement T1 mapping and apparent diffusion coefficient (ADC) values in predicting HCC grade needs further validation. Objectives: This study aimed to assess the c Read More

Introduction The aim of the study was to develop deep-learning neural networks to guide treatment decisions and for the accurate evaluation of tumor response to neoadjuvant chemoradiotherapy (nCRT) in rectal cancer using magnetic resonance (MR) images. Methods Fifty-nine tumors with stage 2 or 3 rectal cancer that received nCRT were retrospectively evaluated. Pathological tumor regression grading was carried out usi Read More

Objectives:This study aimed to investigate the pancreatic morphology and clinical characteristics to predict risk factors of type 2 diabetes mellitus (T2DM) based on magnetic resonance imaging.Methods:A total of 89 patients (T2DM group) and 68 healthy controls (HC group) were included. The T2DM group was divided into a long-term T2DM group and a short-term T2DM group according to whether the illness duration was more Read More

BackgroundCongenital ileal atresia is a rare neonatal disease, the most common type of intestinal malformation in newborns, and one of the most common causes of congenital intestinal obstruction. It can cause various digestive system symptoms, including abdominal distension, vomiting, abnormal bowel movements, etc. In severe cases, it can be life-threatening. A prenatal ultrasound examination can assist clinical diagno Read More

Background To investigate the optimal B1,rms value of renal amide proton transfer-weighted (APTw) images and the reproducibility of this value, and to explore the utility of APT imaging of renal masses and kidney tissues. Methods APTw images with different B1,rms values were repeatedly recorded in 15 healthy volunteers to determine the optimal value. Two 4-point Likert scales (poor [1] to excellent [4]) were used to evalu Read More

Skeletal-related events due to bone metastases can be prevented by early diagnosis using radiological or nuclear imaging techniques. Nuclear medicine techniques such as Single Photon Emission Computed Tomography (SPECT) and Positron Emission Tomography (PET) have been used for diagnostic imaging of bone for decades. Although it is widely recognized that conventional diagnostic imaging techniques such as Comp Read More

Background Magnetic resonance enteroclysis (MRE) has been widely applied to diagnose Crohn’s disease (CD). Magnetic resonance (MR) at 3.0 T improves signal-to-noise ratio (SNR), shortens image acquisition time, and shows more advantages. Objective This study aimed to retrospectively analyze the diagnostic value of 3.0 T MR imaging for active CD. Methods 48 CD patients hospitalized in our hospital from January 2021 to Read More

Introduction Hydatidosis, a distinctive parasitic ailment, exhibits a broad range of imaging characteristics influenced by the growth stage, resultant complications, and tissue involvement. Its occurrence throughout the human anatomy underscores its ubiquitous propensity. Despite its relatively infrequent manifestation as diffuse hydatosis, the disease assumes particular significance in rural regions. Given its detrimental complic Read More

Background The pathogenesis of breast cancer is characterized by dysregulated cell proliferation, leading to the formation of a neoplastic mass. Conventional methodologies for analyzing carcinomatous distal areas within whole-slide images (WSIs) tissue regions may lack comprehensive insights. Purpose This study aims to introduce an innovative methodology based on convolutional neural networks (CNN), specifically em Read More

Background This case report describes a case of Müllerian duct cyst that occurred in a male retroperitoneum. The cyst lesion is rare and complicated with diaphragmatic hernia. Müllerian duct-derived cyst is a rare developmental disorder that is more common in male pelvic tissues and rare in the retroperitoneum. We investigated the important role of computerized tomography (CT) and magnetic resonance imagin Read More

Background:Although the amygdala has structural and functional abnormalities in Chronic Migraine (CM), less is known about the altered perfusion of the amygdala in CM.Objective:The current study aimed to assess amygdala perfusion in CM using a contrast agent-free and quantitative approach.Methods:15 Normal Controls (NC) and 13 patients with CM during the migraine interval were assessed for brain structure and Read More

BackgroundPositron Emission Tomography (PET) scan stands as a valuable diagnostic tool in nuclear medicine, enabling the observation of metabolic and physiological changes at a molecular level. However, PET scans have a number of drawbacks, such as poor spatial resolution, noisy images, scattered radiation, artifacts, and radiation exposure. These challenges demonstrate the need for optimization in image proces Read More

Objective This study aimed to compare the parametric value of T2 with and without fat suppression (FS) on T2 mapping for the evaluation of extraocular muscles (EOMs) in mild thyroid-associated ophthalmopathy (TAO). Methods We prospectively recruited 44 consecutive patients with mild TAO seen between May 2020 and October 2022 and 26 healthy controls with no history of eye- or thyroid-related or other autoimm Read More

Background In the end stage of kidney disease, abnormal levels of blood calcium, phosphorus, and parathyroid hormone lead to bone metabolism disorders, manifesting as osteoporosis or fibrocystic osteoarthritis. X-ray, CT, and MR are useful for detecting bone lesions in dialysis patients, but currently, computer vision has not yet been used for this purpose. Methods ResNet is a powerful deep CNN model, which has not yet be Read More

Purpose Individuals with depression have an increased risk of cardiovascular disease, and more often have a poor prognosis with cardiovascular disease. This study aimed to investigate the impact of depression on Left Ventricular (LV) alterations using Cardiovascular Magnetic Resonance Feature-tracking (CMR-FT). Methods Seven anesthetized, healthy Chinese miniature swine were included in the study. Basic data, includi Read More

Cervical lymph node metastasis is an important determinant of cancer stage and the selection of an appropriate treatment plan for patients with head and neck cancer. Therefore, metastatic cervical lymph nodes should be effectively differentiated from lymphoma, tuberculous lymphadenitis, and other benign lymphadenopathies. The aim of this work is to describe the performance of Doppler ultrasound and superb microvasc Read More

Background The metastasis of primary breast invasive lobular carcinoma to the gastrointestinal tract and skin is a rare phenomenon, with the simultaneous occurrence of both transfers being more uncommon. Case Presentation This article reports a case of a patient with hormone receptor-positive, HER2-negative breast invasive lobular carcinoma with gastrointestinal tract and skin metastases. The patient was asse Read More

Background:Carotid duplex ultrasonography (DUS) is the primary screening tool for carotid artery stenosis, but has low reliability. MHR, which is the ratio of monocytes to high-density lipoprotein cholesterol (HDL-C), can be a marker for the degree and distribution of extracranial and intracranial atherosclerotic stenosis.Objective:We determined the diagnostic value of DUS+MHR for internal carotid artery (ICA) stenosis.Methods:W Read More

Background: Endometrial Cancer (EC) is a highly heterogeneous cancer comprising both histological and molecular subtypes. Using a non-invasive modality method to trigger these subtypes as early as possible can aid clinicians in establishing individualized treatment. Purpose: The study aimed to clarify the value of the Apparent Diffusion Coefficient (ADC) of EC MRI in determining molecular subtypes. Material and Methods: We r Read More

Background and Objective:The incidence of stroke is rising, and it is the second major cause of mortality and the third leading cause of disability globally. The goal of this study was to rapidly and accurately identify carotid plaques and automatically quantify plaque burden using our automated tracking and segmentation US-video system.Methods:We collected 88 common carotid artery transection videos (11048 frames) with a Read More

Background:Currently, it is difficult to find a solution to the inverse inappropriate problem, which involves restoring a high-resolution image from a low-resolution image contained within a single image. In nature photography, one can capture a wide variety of objects and textures, each with its own characteristics, most notably the high-frequency component. These qualities can be distinguished from each other by looking at the Read More

Background: Previous studies have indicated the abnormality of the globus pallidus in neonates with hyperbilirubinemia. Objective: This study aims to explore the microstructure and cerebral perfusion of globus pallidus in neonatal hyperbilirubinemia by using Diffusion Tensor Imaging (DTI) and Arterial Spin Labeling (ASL) approaches. Methods: Thirty-seven neonates were enrolled in this study, which were classified into Bilirubin-I Read More

BackgroundColumnar cell carcinoma is a rare subtype of papillary thyroid carcinoma (CCV-PTC) that accounts for only 0.15% to 0.2% of all Papillary Thyroid Carcinomas (PTCs). It has aggressive behavior but a better prognosis than anaplastic thyroid carcinoma.Case PresentationA 64-year-old female presented with a huge thyroid mass resulting in compressive myelopathy and was diagnosed as CCV-PTC, not anaplastic carcino Read More

Introduction In developing Computer-Aided Diagnosis (CAD), a Convolutional Neural Network (CNN) has been commonly used as a Deep Learning (DL) model. Although it is still early, DL has excellent potential in implementing computers in medical diagnosis. Methods This study reviews the use of DL for Anterior Cruciate Ligament (ACL) tear diagnosis. A comprehensive search was performed in PubMed, Embase, and Web of Scie Read More

Aim:Our aim was to explore the feasibility of using radiomics data derived from intratumoral and peritumoral edema on fat-suppressed T2-weighted imaging (T2 FS) to distinguish triple-negative breast cancer (TNBC) from non-triple-negative breast cancer (non-TNBC).Methods:This retrospective study enrolled 174 breast cancer patients. According to the MRI examination time, patients before 2021 were divided into Read More

Background Lumbar disc herniation (LDH) is a common clinical condition causing lower back and leg pain. Accurate segmentation of the lumbar discs is crucial for assessing and diagnosing LDH. Magnetic resonance imaging (MRI) can reveal the condition of articular cartilage. However, manual segmentation of MRI images is burdensome for physicians and needs to be more efficient. Objective In this study, we propose a Read More

Background Residual breast tumors may remain after vacuum-assisted excisional biopsy (VAEB). Objective To determine the incidence of residual breast tumors in patients after VAEB and the efficacy of magnetic resonance imaging (MRI) in detecting these tumors. Methods This retrospective analysis examined patients who received VAEB before a diagnosis of breast cancer (BC) at our hospital from 2015 to 2019. The incidenc Read More

Aim The purpose of this study was to evaluate the diagnostic value of colour Doppler sonography for ovarian veins. The clinical incidence of ovarian venous lesions is relatively low and often overlooked. The ovarian veins are located deep in the pelvis, and they are relatively elongated, which could make medical imaging more difficult. Therefore, there is limited literature on the diagnosis of ovarian venous disease. The purpos Read More

Background A prosthetic device is designed based on the quantitative analysis of muscle MRI which will improve the muscle control achieved with functional electrical stimulation/ guided robotic exoskeletons. Electromyography (EMG) provides muscle functionality information while MRI provides the physiological and functionality of muscles. The sensor feedbacks were used for the bionic prosthesis, but the length of muscle using i Read More

Background With the in-depth development of assistive treatment devices, the application of artificial knee joints in the rehabilitation of amputees is becoming increasingly mature. The length of residual limbs and muscle strength of patients have individual differences, and the current artificial knee joint lacks certain adaptability in the personalized rehabilitation of patients. Purpose In order to deeply analyze the impact of differ Read More

Background: The recent advancements and detailed studies in the field of 3D bioprinting have made it a promising avenue in the field of organ shortage, where many patients die awaiting transplantation. The main challenges bioprinting faces are precision during printing, vascularization, and cell proliferation. Additionally, overcoming these shortcomings requires experts from engineering, medicine, physics, etc., and if acc Read More

Objective This study aims to investigate the association of preoperative body composition parameters, measured by computed tomography in patients undergoing surgery for renal cell carcinoma, with its stage and to survey the relationship with postoperative hospitalization duration and survival. Methods Demographic data, pathology results, cancer stages, and hospitalization duration of 104 patients undergoing surgery Read More

Background:Glutamine Synthetase (GS) could induce vascular sprouting through the improvement of endothelial cell migration in inflammatory diseases. MR vessel-size imaging has been proposed as a valuable approach for visualizing the underlying angiogenic processes in the brain.Objective:This study aims to investigate the role of GS in the neovascularization of gliomas through the utilization of MR vessel-size Read More

Background Diffusion Magnetic Resonance Imaging (MRI) is a useful method to evaluate tumor biology and tumor microstructure. The apparent diffusion coefficient (ADC) value correlates negatively with the cellular density of the tumor. Objective This study aimed to investigate the effectiveness of the ADC histogram analysis in showing the relationship between breast cancer prognostic factors and ADC parameters. Read More

BackgroundAlterations in ocular blood flow play an important role in the pathogenesis of diabetic macular edema; however, this remains unclear.ObjectivesThis study aimed to investigate ocular blood flow in eyes with or without diabetic macular edema using arterial spin labeling.MethodsThis cross-sectional study included 118 eyes of 65 patients with diabetic retinopathy analyzed between November 2018 Read More

Background Ovarian hemangioma is an extremely rare tumor with atypical clinical manifestations, often discovered incidentally during autopsy or surgery. Approximately 60 cases have been reported in the past, but no more than 10 cases have been investigated by MRI and ultrasound (US). Case Presentation ln this paper, we reported a 51-year-old female patient with Ovarian Hemangioma who had no symptoms of abdomin Read More

Background: Accurate finding of Knee Osteoarthritis (KOA) from structural Magnetic Resonance Imaging (MRI) is a difficult task and is greatly subject to user variation. Furthermore, the identification of knee osteoarthritis (KOA) from MRI scans presents a challenge due to the limited information available. A novel methodology using an ensemble Deep Learning algorithm, combining EfficientNet-B3 and ResNext-101 ar Read More

Aims This study aims to observe the fluctuating urine iodine levels in patients with differentiated thyroid cancer (DTC) following iodinated contrast-enhanced computed tomography (eCT) scans. Background The presence of iodine in iodinated contrast agents (ICAs) can impede the effectiveness of radioactive iodine treatment (RAIT) and diagnostic scans in individuals diagnosed with DTC, as it can engage in competitive interaction Read More

Objective:The study aimed to evaluate whether the measurement of Femoral Neck Shaft Angle (FNSA) can be helpful in differentiating femoral head Stress Fracture (SF) from Avascular Necrosis (AVN).Methods:From September 2019 to April 2022, sixty-four patients [median age 32.0 years, interquartile range (IQR) 23.0–39.0 years] who underwent both hip radiograph and Magnetic Resonance Imaging (MRI) and diagnosed as Read More

Background Chronic Kidney Disease (CKD) affects individuals of different age groups worldwide. Moreover, CKD is associated with several risk factors, including obesity, lifestyle, and hypertension, which are common in the Middle East. Ultrasonography is the examination of choice for CKD. In recent years, Shear Wave Elastography (SWE) has developed through the continued development of ultrasound and received substan Read More

Objective HAA is a significant risk factor in complex CoA patients. We conducted a retrospective study to explore the relationship between HAA and other cardiovascular factors. Methods We analyzed 103 patients diagnosed with complex CoA using CT angiography and echocardiography. Aortic diameter was measured at six levels, and severe coarctation was defined as coarctation site to diaphragmatic level ratio (CDR) < 50%. Read More

Background Intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) is considered a potential marker of hepatic fibrosis (HF). Objective To explore the influencing factors of repeatability and reliability in IVIM-DWI parameters of ROI-based liver segments in participants with HF and healthy volunteers (HV) and to assess the diagnostic efficiency of these parameters in HF. Methods Participants with early HF (EHF, n=59 Read More

BackgroundBrain tumor is a grave illness causing worldwide fatalities. The current detection methods for brain tumors are manual, invasive, and rely on histopathological analysis. Determining the type of brain tumor after its detection relies on biopsy measures and involves human subjectivity. The use of automated CAD techniques for brain tumor detection and classification can overcome these drawbacks.Objectiv Read More

Background Embryonal carcinoma is a rare tissue type in germ cell tumors. According to our literature review, metastatic embryonal carcinoma misdiagnosed as lymphoma because of its high similarity to lymphoma is extremely rare and has not been reported yet. Case Presentation A 46-year-old middle adulthood male presented with unexplained fever, night sweats, abdominal distension for 3 months, and weight loss of a Read More

Objective:To investigate the feasibility of image characteristics and radiomics combined with machine learning based on Gd-EOB-DTPA-enhanced MRI for functional liver reserve assessment in cirrhotic patients.Materials and Methods123 patients with cirrhosis were retrospectively analyzed; all our patients underwent pre-contrast MRI, triphasic (arterial phase, venous phase, equilibrium phase) Gd-EOB-DTPA dynamic enhanceme Read More

ObjectiveThis study evaluates the effectiveness of artificial intelligence (AI) in mammography in a diverse population from a middle-income nation and compares it to traditional methods.MethodsA retrospective study was conducted on 543 mammograms of 467 Malays, 48 Chinese, and 28 Indians in a middle-income nation. Three breast radiologists interpreted the examinations independently in two reading sessions (with a Read More

Background Imaging techniques such as X-rays and 3D Computed Tomography (CT) are used to diagnose and evaluate a patient's shoulder before and after surgery. Identifying the kind, location, and severity of a shoulder fracture helps surgeons choose the right treatment and surgery. Objectives The study examines the effectiveness of small incision reduction and superior closure pinning in treating Ideberg type III glen Read More

Introduction A recently developed deep-learning-based automatic evaluation model provides reliable and efficient Cobb angle measurements for scoliosis diagnosis. However, few studies have explored its clinical application, and external validation is lacking. Therefore, this study aimed to explore the value of automated assessment models in clinical practice by comparing deep-learning models with manual measurement Read More

Background 68Ga-labeled prostate-specific membrane antigen positron emission tomography-computed tomography (68Ga-PSMA PET/CT) has led to altered treatment plans for prostate cancer (PCa) patients. Objective This study aimed to investigate the impact of 68Ga-PSMA PET/CT on overall survival (OS) and management in PCa. Methods Consecutive 100 patients who had 68Ga-PSMA PET/CT and conventional imaging (CI) we Read More

In the world, breast cancer is the most commonly diagnosed cancer among women. Currently, MRI is the most sensitive breast imaging method for detecting breast cancer, although false positive rates are still an issue. To date, the accuracy of breast MRI is widely recognized across various clinical scenarios, in particular, staging of known cancer, screening for breast cancer in high-risk women, and evaluation of response to Read More

IntroductionMedical imaging mechanization has reformed medical management, empowering doctors to recognize cancer prematurely and promote patient outcomes. Imaging tests are of significant influence in the detection and supervision of cancer patients. Cancer recognition generally necessitates imaging studies that, in most instances, utilize a trivial amount of radiation. Methodologies such as X-rays, compu Read More

AimTo identify age-matched healthy volunteers, non-cirrhotic chronic liver disease (CLD) and cirrhotic patients based on portal hemodynamic parameters using 4D flow MRI.MethodsA total of 10 age-matched healthy volunteers and 69 CLD patients were enrolled and underwent 4D flow MRI prospectively. 4D flow MR images were processed by an MD in biomedical engineering working on the GTFlow platform. Portal hemodyn Read More

Background Cardiac chamber dimensions and left ventricle (LV) wall thickness change with the cardiac cycle, in which researchers have set different time points for systole and diastole. Objective This study aimed to provide characteristics of normal heart and choose the correct cardiac cycle to measure maximum cardiac parameters for cardiovascular disease. Methods The parameters of left atrium (LA), LV, right atriu Read More

Background Congenital enterocolic fistula, an abnormal connection between the small intestine and the colon, is a rare condition with the potential for significant complications affecting the patient’s quality of life. Case Report A 2 year and 7 months old girl presented with abdominal pain and diarrhea lasting more than 10 days. The formation of the intestinal fistula was first detected by ultrasound, and the blood flow in the inte Read More

BackgroundCoronary Heart Disease (CHD) is one of the most common types of cardiovascular disease, and Heart Failure (HF) is an important factor in its progression. We aimed to evaluate the diagnostic value and predictors of multiparametric Cardiac Magnetic Resonance (CMR) in CHD patients with HF.MethodsThe study retrospectively included 145 CHD patients who were classified into CHD (HF+) (n = 91) and CHD (HF– Read More

Background The Glypican 3 (GPC3)-positive expression in Hepatocellular Carcinoma (HCC) is associated with a worse prognosis. Moreover, GPC3 has emerged as an immunotherapeutic target in advanced unresectable HCC systemic therapy. It is significant to diagnose GPC3-positive HCCs before therapy. Regarding imaging diagnosis of HCC, dynamic contrast-enhanced CT is more common than MRI in many regions. Objecti Read More

Background Pelvic floor dysfunction is characterized by incomplete fecal defecation, negatively affecting the quality of life. Magnetic resonance defecography (MRD) is a useful examination that is ionizing radiation-free and easily reproducible, and provides anatomical and functional details that are obtainable through multiplanar and dynamic examinations. The study aims to detect pathology using MRD in patients with susp Read More

Purpose Intracranial hypertension (IH) is a neurological disease characterized by increased intracranial pressure. Idiopathic intracranial hypertension (IIH) is characterized by increased intracranial pressure without an underlying neuroradiological cause (1-3). The IH associated with a reason such as a mass, hydrocephalus, or drug use, is referred to as secondary intracranial hypertension (SIH). We aimed to detect and Read More

AimHepatic perivascular epithelioid cell tumors (PEComa) often mimic hepatocellular carcinoma (HCC) in patients without cirrhosis. This study aimed to develop a nomogram using imaging characteristics on Gd-EOB-DTPA-enhanced MRI and to distinguish PEComa from HCC in a non-cirrhotic liver.MethodsForty patients with non-cirrhotic Gd-EOB-DTPA-enhanced magnetic resonance imaging (MRI) were included in our Read More

Background Atypical carcinoid (AC) is one of the rarest lung neuroendocrine tumors (NETs) that rarely metastasize to the breast, and only a few cases have been reported in the literature. Positron emission tomography/computed tomography (PET/CT) with somatostatin analogs (SSAs) labeled with Gallium-68 (68Ga) now represents the gold standard for diagnosis and management of NETs. A case of an unusual metasta Read More

Background The human skeletal system relies heavily on the integrity of bones, which provide structural support and safeguard vital organs. Accurate detection is paramount for effective diagnosis. Conventional methods for identifying fractures manually are not only time-consuming but also susceptible to errors. Methods The proposed methodology hinges on a patch antenna operating at 2.4 GHz and a bone phantom ho Read More