Senior Editor, Diagnostic Imaging
In a comparative study of energy-integrating detector CT myelography versus photon-counting detector CT (PCD-CT) myelography for the detection of cerebrospinal fluid-venous fistulas (CVFs) in cases of spontaneous intracranial hypotension, PCD-CT myelography demonstrated 10 to 19 percent higher sensitivity rates with reviewing radiologists.
In contrast to high-school athletes from non-contact sports, adolescent football players had a variety of brain changes, including numerous areas of cortical thinning, increased sulcal depth and decreased coherence of neural signals in the frontal and medial regions, according to newly published magnetic resonance imaging (MRI) research.
Combining advanced volumetric imaging technology with deep learning, the Genius Digital Diagnostics System has reportedly shown a 28 percent reduction in false negatives for high-grade squamous intraepithelial lesions and other severe lesions in comparison to microscopic review.
In a recent interview, Markus Scherer, M.D., discussed emerging research, presented at the American College of Cardiology Cardiovascular Summit, which showed that coronary computed tomography angiography (CTA) was associated with a significantly higher likelihood of revascularization in comparison to other modalities or direct referral for invasive coronary angiography.
Researchers found the use of deep learning reconstruction for computed tomography colonography (CTC) led to 25 percent higher subjective image quality scoring than iterative image reconstruction at a substantially reduced rate of radiation dosing.
Reportedly providing enhanced imaging of structural heart disease, the minimally invasive X11 4t Mini 3D TEE ultrasound transducer facilitates use of the technology in smaller pediatric patients as well as high-risk ICU patients.
Employing reconstructed radiographs from 3D hip CT scans, a deep learning model demonstrated a higher concordance index (C index) and higher two- and three-year AUCs than multiple imaging models and three clinical models for predicting subsequent fracture risk in patients with hip fractures.
A multivariable model that includes mpMRI and blood testing assessment of prostate extracellular vesicles had a significantly higher AUC and sensitivity rate than mpMRI alone for predicting clinically significant prostate cancer, according to research presented at the American Society of Clinical Oncology Genitourinary Cancers Symposium (ASCO-GU).
Patients with localized high-risk prostate cancer and midline radiotracer activity in the prostate had over double the incidence of urethral hyperintensity on T2W MRI, according to research presented at the American Society of Clinical Oncology (ASCO) Genitourinary Cancers Symposium (ASCO-GU).
In a recent interview, Eric Secemsky, M.D., discussed an array of benefits for the use of intravascular ultrasound (IVUS) in supplementing angiography for peripheral vascular interventions, current barriers preventing more widespread adoption of the technology and other salient insights from a recent multidisciplinary roundtable discussion.
For patients with recurrent prostate cancer, PET scanning with 18F-flotufolastat led to major changes in treatment for 80 percent of patients and 75 percent of patients with a changed treatment focus to watchful waiting had negative scans, according to new research presented at the American Society of Clinical Oncology (ASCO) Genitourinary Cancers Symposium (ASCO-GU).
Researchers found that several measurements of background parenchymal enhancement (BPE) on dynamic contrast-enhanced MRI were linked to a 27 to 66 percent higher risk of breast cancer recurrence.
The syngo Virtual Cockpit platform reportedly enables remote access and image acquisition for CT, MRI and positron emission tomography (PET), and facilitates clinician collaboration across multiple sites.
In a nearly two-year study of over 300,000 CT exams, researchers noted a 56.8 percent increase in the frequency of automated CT protocols for outpatient CT examinations.
The new Category I CPT code reportedly facilitates a nearly 7 percent increase in reimbursement for use of the CT-based fractional flow reserve assessment of coronary blood flow.
In a recently issued statement from multiple radiology societies including the RSNA and ACR, researchers offer practical advice for evaluating artificial intelligence (AI) tools, implementing AI into current workflows and monitoring of the technology to help ensure optimal benefit and effectiveness.
Reportedly offering improved delineation of pulmonary structures and greater accuracy with computed tomography (CT) values of pulmonary tissue, the artificial intelligence (AI)-powered LungQ 3.0.0. may facilitate enhanced precision and efficiency with interventional procedures such as lung volume reduction and ablation procedures.
Researchers found that a positive target of MRI led to a threefold increased risk for Gleason Grading Group (GGG) upgrading after radical prostatectomy in patients with low prostate cancer risk.
For patients with suspected interstitial lung disease, the digital biomarker solution Fibresolve offers machine learning capability of diagnosing idiopathic pulmonary fibrosis (IPF) based on assessment of lung computed tomography (CT) scans.
Utilized for neurological procedures including biopsies, catheter placement and electrode introduction, the SmartFrame OR Stereotactic System can be combined with preoperative MRI or CT to ensure optimal placement of devices and instruments.
For women with dense breasts, abbreviated breast MRI and digital breast tomosynthesis (DBT) both offered greater than 98 percent sensitivity rates and greater than 94 percent negative predictive values (NPVs) for breast cancer detection, according to newly published research.
Featuring a lightweight body contouring design, the Small Body Array reportedly facilitates optimal signal-to-noise ratio (SNR) and between 10 and 40 percent faster throughput.
Patients with benign pulmonary absorbable subsolid nodules (AB-SSNs) have a greater frequency of nodules in comparison to those with non-absorbable benign subsolid nodules (NB-SSNs) and patients with malignant subsolid nodules (M-SSNs), according to a recent study of follow-up non-contrast CT exams in over 400 patients.
Utilizing brain MRI and cognitive assessments, the newly FDA-approved, AI-powered software platform BrainSee can reportedly predict the progression of amnestic mild cognitive impairment (aMCI) to Alzheimer’s dementia within five years.
Noting the challenges with angiography in the imaging of lower extremity revascularization, a panel of interventional radiologists, interventional cardiologists and vascular surgeons discussed emerging evidence that supports the use of intravascular ultrasound in facilitating improved outcomes in this high-risk patient population.
In addition to high-quality X-ray and fluoroscopic images, the DRX-Excel Plus X-ray System provides automated filter selection, grid parking and positioning of table axes.
In part of an ongoing multicenter study evaluating commercial artificial intelligence (AI) products in radiology, AI lung nodule detection software from four out of seven vendors demonstrated stand-alone AUCs ranging from 5 to 12 percent higher than the mean AUC of 17 reviewing radiologists.
Offering enhanced utility for assessing urinary incontinence, bladder emptying and urinary retention, the Clarius Bladder AI ultrasound software reportedly provides bladder volume measurement in seconds.
Tailored for incidental findings on chest radiographs, the qXR for Lung Nodule (qXR-LN) software utilizes artificial intelligence (AI) to help detect suspected pulmonary nodules ranging between 6 to 30 mm.
A model that combines multiparametric MRI findings with clinical factors may enhance the accuracy of predicting clinically significant prostate cancer and significantly reduce unnecessary systematic prostate biopsies in biopsy-naïve patients.
