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Carotid artery calcifications are important markers of cardiovascular health, often associated with atherosclerosis and a higher risk of stroke. Recent research shows that dental radiographs can help identify ...
To establish and validate deep learning (DL) models based on pre-treatment multiparametric magnetic resonance imaging (MRI) images of primary rectal cancer and basic clinical data for the prediction of synchro...
Computed Tomography (CT) plays a crucial role for diagnostic purpose; however, delivering optimal radiation dose to patients is the common challenge.
Development of a deep learning model for accurate preoperative identification of glioblastoma and solitary brain metastases by combining multi-centre and multi-sequence magnetic resonance images and comparison...
The study aimed to evaluate the feasibility and clinical value of super-resolution contrast enhanced ultrasound (SR CEUS) in the differential diagnosis of superficial lymph nodes (LNs) and to establish an appr...
In the prognosis of breast cancer, the status of axillary lymph nodes (ALN) is critically important. While traditional axillary lymph node dissection (ALND) provides comprehensive information, it is associated...
To develop a predictive model to identify atypical ductal hyperplasia (ADH) that was underestimated by US-guided core needle biopsy (CNB) and to evaluate the risk factors for underestimation for ADH with intra...
This study aimed to develop and validate a computed tomography (CT)-based intratumoral and peritumoral radiomics nomogram to improve the stratification of postoperative recurrence risk in patients with localiz...
Basal cell carcinoma (BCC) is the most common skin cancer, placing a significant burden on healthcare systems globally. Developing high-precision automated diagnostics requires large annotated datasets, which ...
The ellipsoidal formula is the most common method used to determine the volume of fibroids on MR images. Labor-intensive manual segmentation provides the opportunity to measure the volume of a given lesion on ...
Only in recent years it has been demonstrated that the thoracolumbar fascia is involved in low back pain (LBP), thus highlighting its implications for treatments. Furthermore, an easily accessible and non-inva...
The differentiation between dural-based metastasis and meningioma, which is the most common benign extra axial tumor, is crucial, particularly when staging patients with known primary neoplasms. The purpose of...
To explore the alterations of gray matter volume (GMV) and structural covariant network (SCN) in unilateral frontal lobe low-grade gliomas (FLGGs).
This study aims to investigate the temporal evolution of magnetic resonance imaging (MRI) findings in brain metastases following stereotactic radiosurgery (SRS) and their correlation with treatment response an...
The stack-of-short-axis volumes (SAX) summation and single-plane area-length (AL) methods are established approaches for right atrial (RA) volume quantification in cardiovascular magnetic resonance (CMR) imagi...
This study aimed to visually analyze the heterogeneity of vascularity and cellularity across different sub-regions of breast cancer using habitat imaging (HI) to predict human epidermal growth factor receptor ...
This study compares the success rate, diagnostic accuracy, and safety of contrast-enhanced ultrasound (CEUS)-guided biopsy versus conventional ultrasound (US)-guided biopsy for thoracic and pulmonary lesions.
Tuberculosis (TB) is a global health burden, and extrapulmonary TB, particularly urogenital TB, is a significant concern in males. Given the nonspecific clinical manifestations of epididymal and/or testicular ...
Medical images occupy the largest part of the existing medical information and dealing with them is challenging not only in terms of management but also in terms of interpretation and analysis. Hence, analyzin...
Cardiovascular diseases are the number one cause of death globally, making cardiac magnetic resonance image segmentation a popular research topic. Existing schemas relying on manual user interaction or semi-au...
Small cell lung cancer (SCLC) is a highly aggressive form of lung cancer, representing about 15% of cases worldwide. Despite advances in imaging, such as low-dose CT, which have increased diagnostic rates, sur...
Type 2 diabetes mellitus (T2DM) has been associated with brain microstructural alterations, potentially contributing to cognitive decline and neurodegeneration. Diffusion tensor imaging (DTI) provides a non-in...
This study aimed to develop a nomogram integrating radiomics features derived from contrast-enhanced ultrasound (CEUS) and B-mode ultrasound (B-US) with clinical features to improve preoperative differentiatio...
Free-floating venous thrombosis (FFVT), a distinct subtype of deep vein thrombosis (DVT), is associated with pulmonary thromboembolism (PTE) and carries a high mortality risk.
To assess the associations between cerebral vessels morphological features, white matter hyperintensities (WMHs), and the one-year risk of ischemic stroke recurrence.
Diabetes is a widespread condition that can lead to serious vision problems over time. Timely identification and treatment of diabetic retinopathy (DR) depend on accurately segmenting retinal vessels, which ca...
To evaluate the reproducibilities of Response Evaluation Criteria in Solid Tumors (RECIST) and modified RECIST (mRECIST) for hepatocellular carcinoma (HCC) patients treated with transarterial chemoembolization...
Pituitary adenomas (PAs), craniopharyngiomas (CRs), Rathke’s cleft cysts (RCCs), and tuberculum sellar meningiomas (TSMs) are common sellar region lesions with similar imaging characteristics, making different...
To explore the value of non-enhanced magnetic resonance thoracic ductography (NMRTD) combined with MR abdominopelvic scanning in the diagnosis of chylous leakage of the female reproductive system.
Tension-type headache (TTH) is the most common nervous system disorder worldwide. This study aimed to examine abnormal network-level brain functional connectivity (FC) alterations in patients with TTH across m...
Magnetic resonance imaging (MRI) is an essential tool for medical diagnosis. However, artifacts may degrade images obtained through MRI, especially owing to patient movement. Existing methods that mitigate the...
A specific grid for analyzing and grading adverse events in diagnostic radiology is lacking. In France, the standard HAS grid, a generic 5-point scale adapted from the Common Terminology Criteria for Adverse E...
The adrenal glands are small retroperitoneal organs, few reference standards exist for adrenal CT measurements in clinical practice. This study aims to develop a deep learning (DL) model for automated adrenal ...
To preoperatively predict microvascular invasion (MVI) and relapse-free survival (RFS) in hepatocellular carcinoma (HCC) ≥3 cm by constructing and externally validating a combined radiomics model using preoper...
The aim is to assess mental foramen (MF) and anatomical variations using cone beam computed tomography (CBCT) images in a Turkish population.
To assess the effect of the combination of deep learning reconstruction (DLR) and time-resolved maximum intensity projection (tMIP) or time-resolved average (tAve) post-processing method on image quality of CT...
To develop and validate deep learning (DL) and traditional clinical-metabolic (CM) models based on 18 F-FDG PET/CT images for noninvasively predicting high-grade patterns (HGPs) of invasive lung adenocarcinoma...
To investigate the predictive value of dual-energy CT (DECT) in combination with clinical and serologic features for noninvasive assessment of high-risk esophageal variceal (EV) in cirrhosis patients.
The increasing number of adult congenital heart disease (ACHD) patients, especially in low- and middle-income countries (LMICs), necessitates effective management methods. The Qp/Qs or flow ratio (FR) is cruci...
Due to the high prevalence of low back pain which impacts the lives of those affected, several studies have explored findings associated with the lumbar spine (which is the affected anatomy) using magnetic res...
To evaluate the sensitivity and specificity of ultrasound elastography in differentiating between malignant and benign breast microcalcifications through a case-control study.
The aim of this study is to investigate the differences in vestibular organ function tests and the temporal bone computed tomography (CT) findings between healthy individuals and patients with motion sickness ...
The goal of this research study is to determine the efficacy of dual contrast-enhanced ultrasound (US) in evaluating ductal papillary lesions associated with pathological nipple discharge.
Magnetic Resonance Elastography (MRE) is a non-invasive imaging technique that quantifies tissue stiffness by analyzing shear wave propagation. While MRE is widely used in hepatic imaging, its application in t...
Although gamma Knife radiosurgery (GKRS) is commonly used to treat benign brain tumors, such as meningioma, irradiating the surrounding brain tissue can lead to perifocal edema within a few months after the pr...
To apply SyMRI to quantify whole brain volume changes in patients with varying degrees of obstructive sleep apnea (OSA).
Medical imaging has been essential and has provided clinicians with useful information about the human body to diagnose various health issues. Early diagnosis of diseases based on medical imaging can mitigate ...
To use of statistical methods to assess the diagnostic value of arterial spin labeling (ASL) imaging for follow-up of treated arteriovenous malformations.
Neonatal brain development constitutes a critical period of structural and functional maturation underpinning sensory, motor, and cognitive capacities. The glymphatic system—a cerebral waste clearance network—...
Whole-body computed tomography (WBCT) technique involves higher radiation doses, resulting in increased stochastic health risks, especially when used for paediatric patients. Hence, protocol optimisation is re...
Citation Impact 2023
Journal Impact Factor: 2.9
5-year Journal Impact Factor: 2.8
Source Normalized Impact per Paper (SNIP): 1.157
SCImago Journal Rank (SJR): 0.701
Speed 2024
Submission to first editorial decision (median days): 13
Submission to acceptance (median days): 127
Usage 2024
Downloads: 1,190,622
Altmetric mentions: 86
The following summary describes the peer review process for this journal:
Identity transparency: Single anonymized
Reviewer interacts with: Editor
Review information published: Review reports. Reviewer Identities reviewer opt in. Author/reviewer communication