This study evaluates the impact of preoperative breast MRI on surgical management in young women diagnosed with breast cancer.

The lumbosacral plexus is the human neural network that provides motor and sensory innervation to the pelvis and lower extremities. Injury to the lumbosacral plexus may result due to trauma, compression, diabetes, infection, inflammation, or demyelination. Patients may present with persistent or progressive pain, paresthesia, or paresis. A diagnosis can typically be established based on correlation of clinical history, physical examination, and electromyography. However, although conventional diagnostic modalities provide vital functional information pertaining to motor unit activity and muscle response, it is often challenging to localize lesions and identify specific structural or intrinsic causes of nerve injury. Magnetic resonance neurography harnesses high-resolution imaging to delineate pathology of the lumbosacral plexus and identify sources of nerve compression, fascicular thickening, and inflammation that may be implicated in peripheral neuropathy. In this narrative review, we detail the anatomy of the lumbosacral plexus, describe common and uncommon neuropathology, summarize our early-stage investigation of lumbosacral plexus imaging using ultra-high-field 7 Tesla MRI. In addition, we provide case examples from our institutions that illustrate the value of magnetic resonance neurography for diagnosing lumbosacral plexus pathology and developing individualized treatment strategies.

This study aims to explore the correlation between background parenchymal enhancement (BPE) observed in breast magnetic resonance imaging (MRI) and the presence of breast cancer.

Cosyntropin (ACTH) bolus stimulation prior to adrenal vein sampling (AVS) increases sampling selectivity but reduces sensitivity for lateralization, predictive of surgical cure. We examined effectiveness of an alternative continuous cosyntropin stimulation, without bolus, specifically via rates of sampling adequacy, lateralization, and surgical cure among patients with primary hyperaldosteronism.

To assess the clinical value of FFR-CT (Computed Tomography Fractional Flow Reserve) in guiding revascularization, predicting major adverse cardiac events (MACE), and conducting a cost-effectiveness analysis in patients with low-to-moderate risk coronary artery disease.

Cost often weighs heavily in a physician's decision to request a diagnostic imaging exam. Further, the reimbursement for shortened, i.e. focused or abbreviated MRI exams is currently undefined at a systematic level. The purpose of this study is to examine the reimbursement of common imaging exams, as a surrogate for cost, and its evolution over the past two decades to frame a discussion on the appropriate reimbursement for both focused and abbreviated MRI exams.

Breast cancer diagnosis relies on early detection and accurate subtype identification. This meta-analysis evaluated Diffusion-weighted imaging (DWI) and Intravoxel incoherent motion (IVIM)-DWI techniques for differentiating breast lesions, focusing on sensitivity, specificity, and limitations, to address inconsistencies and enhance diagnostic reliability.

To examine the prevalence of inappropriate F-FDG PET/CT use in oncological patients and associated factors.

This study evaluates the utility of gray-scale inversion imaging for the detection of pulmonary nodules on chest radiography, which are often difficult to appreciate in traditional imaging.

Large language models such as ChatGPT have shown potential in clinical reasoning and radiologic interpretation. Recent versions with image-analysing capabilities allow for combined visual and textual processing. This study aims to assess the performance and limitations of ChatGPT-4v and ChatGPT-4o in interpreting image-based multiple-choice questions from official national radiology board examinations, which are designed to reflect core radiologic scenarios.

To evaluate the diagnostic performance of Node-RADS for assessing regional lymph node metastasis (RLNM) in renal cell carcinoma (RCC) by computed tomography (CT) and explore its prognostic value.

Systematically review safety and efficacy of intravascular ultrasound (IVUS)-guided transjugular intrahepatic portosystemic shunt (TIPS) (iTIPS) and to evaluate outcomes following conventional TIPS (cTIPS) versus iTIPS in propensity score-matched patients.

Extramammary metastases to the breast are extremely rare and vary widely in their clinical and imaging features. Diagnosis may be challenging as lesions can mimic both primary breast cancer as well as benign breast lesions. The goal of this review is to describe the radiologic and pathologic features of the most common primary tumors that metastasize to the breast including lymphoma, melanoma, lung carcinoma, gynecologic carcinoma and sarcomas.

The aim of this study was to determine the relationship between fluoro 2-deoxy-d-glucose (FDG) uptake patterns and malignancy potential in thyroid incidentalomas detected on FDG positron emission tomography/computed tomography (PET/CT).

Vertigo is associated with superior semicircular canal (SSC) abnormalities such as thinning (SST) and dehiscence (SSD). Recent work demonstrates that SST/SSD be reliably assessed using high-resolution non-contrast enhanced CT head (HR-NECTH). This study investigates and compares the prevalence of SST/SSD in emergency department (ED) patients without vertigo, with vertigo with identifiable causes of their symptoms (explained vertigo), and without (unexplained vertigo).

To determine whether a new deep learning (DL) based phase corrected (DLPC) reconstruction model can enhance image quality of diffusion weighted images of the prostate acquired at 1.5 T compared to a commercially available DL based product.