Enhancing Clinical Trial Efficiency: The Impact of a Dual Digital Alert System on Quantitative Imaging Report Turnaround Time.

Objective: This study aimed to assess the effectiveness of a dual digital alert system and automatic radiologist reassignment in improving the efficiency of quantitative imaging report delivery for clinical trials.

Materials And Methods: Assessing tumor metrics is critical to oncologic disease management, informed treatment planning, and for monitoring therapeutic response and even more so in cancer clinical research trials. A collaborative effort with the Institutional Research Information Systems division led to developing a web-based system with a Java backend, tested using Agile methodology to improve patient care with improved turnaround time (TAT) of quantitative reports.

MRI radiomics based machine learning model of the periaqueductal gray matter in migraine patients.

Background And Purpose:

A Novel Fusion of Radiomics and Semantic Features: MRI-Based Machine Learning in Distinguishing Pituitary Cystic Adenomas from Rathke's Cleft Cysts.

Objectives: To evaluate the performances of machine learning using semantic and radiomic features from magnetic resonance imaging data to distinguish cystic pituitary adenomas (CPA) from Rathke's cleft cysts (RCCs).

Materials And Methods: The study involved 65 patients diagnosed with either CPA or RCCs. Multiple observers independently assessed the semantic features of the tumors on the magnetic resonance images.

Synergizing photon-counting CT with deep learning: potential enhancements in medical imaging.

This review article highlights the potential of integrating photon-counting computed tomography (CT) and deep learning algorithms in medical imaging to enhance diagnostic accuracy, improve image quality, and reduce radiation exposure. The use of photon-counting CT provides superior image quality, reduced radiation dose, and material decomposition capabilities, while deep learning algorithms excel in automating image analysis and improving diagnostic accuracy. The integration of these technologies can lead to enhanced material decomposition and classification, spectral image analysis, predictive modeling for individualized medicine, workflow optimization, and radiation dose management.

Educating the next generation of radiologists: a comparative report of ChatGPT and e-learning resources.

Rapid technological advances have transformed medical education, particularly in radiology, which depends on advanced imaging and visual data. Traditional electronic learning (e-learning) platforms have long served as a cornerstone in radiology education, offering rich visual content, interactive sessions, and peer-reviewed materials. They excel in teaching intricate concepts and techniques that necessitate visual aids, such as image interpretation and procedural demonstrations.

Improving radiology workflow using ChatGPT and artificial intelligence.

Artificial Intelligence is a branch of computer science that aims to create intelligent machines capable of performing tasks that typically require human intelligence. One of the branches of artificial intelligence is natural language processing, which is dedicated to studying the interaction between computers and human language. ChatGPT is a sophisticated natural language processing tool that can understand and respond to complex questions and commands in natural language.

A mimicker of inflammatory breast carcinoma: Lupus mastitis and evolving imaging features.

Rare case of lupus mastitis in a 58-year-old female with discoid lupus erythematosus presented with fever, left breast swelling, and painful palpable lesion. Accurate imaging and histopathologic evaluation allowed for appropriate management and regression of breast findings with hydroxychloroquine treatment, emphasizing the need to avoid unnecessary biopsies and surgeries.

"Ring-shaped" meniscus and accompanying intermeniscal bridge meniscus: a rare combined variant resembling a bucket-handle tear.

Many anatomical variations have been described in the menisci, especially in the lateral meniscus. Among these, discoid meniscus is the most common variation. Others are described in the literature as double-layered meniscus, accessory meniscus, ring-shaped meniscus, and hypoplastic meniscus.

18 F-FDG PET-Positive Large Pelvic Granuloma Mimicking Malignant Bladder Tumor.

An 88-year-old man was admitted to our hospital with a recurrent lower urinary tract infection. He had a history of open prostatectomy for benign prostatic hyperplasia 15 years ago and smoking. A mass arising within a bladder diverticula was suspected on the left lateral wall of the bladder on ultrasonography.

Differentiation of pure cystic sellar lesions on magnetic resonance imaging.

Background And Purpose: Cystic pituitary adenomas and cystic craniopharyngiomas may mimic Rathke cleft cysts when there is no solid enhancing component on magnetic resonance imaging (MRI). This study aims to investigate the efficiency of MRI findings in differentiating Rathke cleft cysts from pure cystic pituitary adenoma and pure cystic craniopharyngioma.

Materials And Methods: 109 patients were included in this study (56 Rathke cleft cysts, 38 pituitary adenomas, and 15 craniopharyngiomas).

Benign multicystic peritoneal mesothelioma mimicking mucinous ovarian neoplasm with pseudomyxoma peritonei.

Cystic mesothelioma, also known as benign multicystic peritoneal mesothelioma (BMPM), is a rare neoplasm and one of the five main histological types of peritoneal mesothelioma. Although it is usually considered benign histologically, it is increasingly accepted as a 'borderline malignancy' because the local recurrence rate is high. It is more common in middle-aged women and is generally asymptomatic.

A Case of Subdural Hematoma without Subarachnoid Hemorrhage Secondary to Rupture of Posterior Communicating Artery-infundibular Dilatation.

Introduction: Subdural hematoma without subarachnoid hemorrhage secondary to intracranial aneurysm rupture is rare and may complicate patient management due to delay in diagnosis and subsequent treatment. Herein, we describe a case presenting with pure SDH secondary to the rupture of a posterior communicating artery infundibular dilatation (PcoA-ID). To the best of our knowledge, this is the first case of rupture of a PcoA-ID with SDH in the convexity and tentorium, which also tracked into the upper cervical spine along the subdural space.

Progressive MRI findings of West Nile virus encephalitis in a patient with diabetes mellitus.

A man in his 70s was admitted to our hospital with complaints of fatigue, loss of appetite and fever. His neurological examination was normal. He had a medical history of diabetes mellitus for 25 years.

PHACE Syndrome: A Rare Case.

PHACE syndrome (OMIM 606519) is a rare neurocutaneous vascular disorder, characterized by posterior fossa malformations, large cervicofacial infantile hemangiomas, arterial anomalies, aortic coarctation, cardiac abnormalities, and eye abnormalities. The long-term outcome of PHACE syndrome patients is unclear; however, it seems that they are at risk for childhood stroke. The radiologist has an important role on diagnosis of PHACE syndrome and in the assessment of potential complications.