- Volume 20, Issue 1, 2024

Introduction:Meniscal tears are among the most common indications for knee arthroscopy. Artificial polyurethane scaffolds have demonstrated efficacy in reducing pain and promoting the growth of normal meniscal tissue, with high absorption rates facilitating full tissue regeneration.Aims:This study aimed to evaluate the remodeling of polyurethane meniscal implants post-reconstruction using ultrasonog Read More

Background:Rheumatoid Arthritis Magnetic Resonance Imaging Score (RAMRIS) is usually used for the semi-quantitative evaluation of joint changes in Rheumatoid Arthritis (RA). However, this method cannot evaluate early changes in bone marrow edema (BME).Objective:To determine whether T1 mapping of wrist BME predicts early treatment response in RA.Methods:This study prospectively enrolled 48 RA patients administered Read More

Objective:This study sought to analyze the 18F-FDG PET/CT and contrast-enhanced computed tomography (CT) images of synchronous colorectal cancer (CRC) and renal clear cell carcinoma (ccRCC) and identify the shared genes between these two types of cancer through bioinformatic analysis.Methods:A retrospective analysis was conducted on a patient with synchronous CRC and ccRCC who underwent 18F-FDG PET/CT Read More

Background:Generative adversarial networks (GANs) have demonstrated superior data generation capabilities compared to other methods, making them popular for use in medical image applications. These features have intrigued researchers in the medical imaging field, resulting in a swift implementation of these techniques in various conventional and novel applications such as image reconstruction, segmentation, detecti Read More

Background:The use of breast MRI for screening has increased over the past decade, mostly in women with a high risk of breast cancer. Abbreviated breast MRI (AB-MR) is introduced to make MRI a more accessible screening modality. AB-MR decreases scanning and reporting time and the overall cost of MRI.Objective:This study aims to evaluate the diagnostic efficacy of abbreviated MRI protocol in detecting breast Read More

Background:Breast cancer is one of the leading causes of mortality among women. In addition, 1 in 8 women and 1 in 833 men will be diagnosed with breast cancer in 2022. The detection of breast cancer can not only lower treatment costs but also increase survival rates. Due to increased cancer awareness, more women are undergoing breast cancer screening, leading to more cases being diagnosed worldwide, but doctor Read More

Introduction:Ultrasound is extensively used for soft tissue pathology. Scanning bone superficial structures may reveal clear pathologic features to aid diagnosis.Case presentation:We present the case of a stress fracture in the second metatarsal, with the clinical aspect of a gouty attack. Ultrasound examination showed cortical thickening and disruption, hypoechoic periosteal swelling, hyperemia, soft tissue edema, and di Read More

Background:Liposarcoma (LPS) is a malignant mesenchymal tumor that mostly occurs in the extremities and retroperitoneum and rarely in the scrotum.Case Presentation:In this case report, we introduced a patient who was diagnosed with LPS in the scrotum. In his right scrotum, we found a large soft tissue mass, including fat and calcification.Conclusion:We reviewed the clinical, pathological and computed tomography (CT) f Read More

 Objective: This work aimed to evaluate the level set segmentation algorithm on ocular surface thermograms. In addition, the vascularity functioning between the contralateral portions of two eyes (right and left) was identified using statistical analysis methods.Methods:A total of 25 healthy participants with an average age of 35 years (20 men and 5 women) were selected in April 2022. Thermogram images were ca Read More

Objective:This study aims to investigate the efficiency of a radiomics model in identifying high-frequency microsatellite instability (MSI-H) and microsatellite stability (MSS) of colorectal liver metastasis (CRLM) according to machine learning radiomics features of enhanced CT liver images.Materials and Methods:A total of 12 patients with MSI-H CRLM and 96 patients with MSS CRLM were randomly divided into the tr Read More

Background:Betel nut chewing is very common in Southeast Asia and other tropical countries. Much clinical evidence suggests that chewing betel nut has pro-inflammatory and carcinogenic effects, but there are few clinical reports of acute toxicity caused by it, especially involving esophageal damage.Case presentation:We presented a case of a 72-year-old female who was admitted to our hospital for chest pain and hematem Read More

Introduction:Millions of people have been infected with COVID-19, which has spread quickly worldwide since the start of 2020, resulting in numerous fatalities. Identification of infected individuals is essential to control the spread of the virus.Aims:In this study, we propose a hybrid architecture that combines Convolutional Neural Networks (CNNs) with Recurrent Neural Networks (RNNs) and leverages transfer learning to enhance the Read More

Introduction:Brain tumors are predicted from Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) scan images. In recent years, image processing-based automated tools are developed to predict tumor areas with less human interference. However, such automated tools are suffering from computational complexity and reduced accuracy in certain critical images. In the proposed work, an Ideal Shallow Neural Read More

Aim:We aimed to examine all-cause mortality risk in relation to the extent of non-obstructive coronary artery disease (CAD) by coronary computed tomography angiography (CTA) in Chinese middle-aged and older patients in a multicenter study with nine-year follow-up.Methods:This was a retrospective, observational, multicentre study. The study population consisted of 3,240 consecutive middle-aged and older patients (ag Read More

Wavelets are defined as mathematical functions that segment the data into different frequency levels. We can easily capture the fine and coarse details of an image or signal referred to as a subband. And it also helps in subband thresholding to achieve good compression performance. In recent days in telemedicine services, the handling of medical images is prominently increasing and it leads to the demand for medical i Read More

Background:Deep learning-based diagnosis systems are useful to identify abnormalities in medical images with the greatly increased workload of doctors. Specifically, the rate of new cases and deaths from malignancies is rising for liver diseases. Early detection of liver lesions plays an extremely important role in effective treatment and gives a higher chance of survival for patients. Therefore, automatic detection and cl Read More

Objective:This article aims to explore the ADC value of ultrahigh b-value DWI and the diagnostic cutoff point in prostate cancer.Methods:A total of 78 patients were included in this study. T2 weighted imaging (T2WI), conventional diffusion-weighted imaging (DWI) (1000 s/mm2), and DWI with ultrahigh b-values of 2000 s/mm2 and 3000 s/mm2 were performed in each patient. With reference biopsy as the gold standard, the ap Read More

The blood-brain barrier (BBB) is an important structure that maintains the normal function of the central nervous system (CNS). The functional structure of BBB is closely related to diseases of CNS, including degenerative diseases, brain tumours, traumatic brain injury, stroke, etc. Imaging methods were commonly used to monitor the integrity of BBB, such as DCE-MRI, DSC-MRI, and PET, this contributes to understand the p Read More

Most neurodegenerative diseases such as Alzheimer's and Parkinson's are life-threatening, critical, and incurable affecting mainly the elderly population. Early diagnosis is challenging as disease phenotype is very crucial for predicting, preventing the progression, and effective drug discovery. In the last few years, Deep learning (DL) based neural networks are the state-of-the-art models deployed in industries and ac Read More

Background:DWI and ADC-mapping was performed to analyze hepatic metastasis of GIST, GEP-NET.Objective:The objective of this study is to present hepatic metastasis of GIST and GEP-NET with Diffusion weighted MR imaging(DWI) and the Apparent diffusion coefficients (ADC) values of masses.Methods:18 GIST patients and 8 GEP-NET patients were examined retrospectively. 11 males and 6 females were present in GIST Read More