To evaluate the frequency of abdominal computed tomography (CT) findings in patients with coronavirus disease-2019 (COVID-19) and interrogate the relationship between abdominal CT findings and patient demographic features, clinical findings, and laboratory test results as well as the CT atherosclerosis score in the abdominal aorta. This study was designed as a multicenter retrospective study. The abdominal CT findings of 1.181 patients with positive abdominal symptoms from 26 tertiary medical centers with a positive polymerase chain-reaction test for severe acute respiratory syndrome coronavirus 2 were reviewed. The frequency of ischemic and non-ischemic CT findings as well as the association between CT findings, clinical features, and abdominal aortic calcific atherosclerosis score (AA-CAS) were recorded. Ischemic and non-ischemic abdominal CT findings were detected in 240 (20.3%) and 328 (27.7%) patients, respectively. In 147 patients (12.4%), intra-abdominal malignancy was present. The most frequent ischemic abdominal CT findings were bowel wall thickening (n = 120; 10.2%) and perivascular infiltration (n = 40; 3.4%). As for non-ischemic findings, colitis (n = 91; 7.7%) and small bowel inflammation (n = 73; 6.2%) constituted the most frequent disease processes. The duration of hospital stay was found to be higher in patients with abdominal CT findings than in patients without any positive findings (13.8 ± 13 vs. 10.4 ± 12.8 days, P < 0.001). The frequency of abdominal CT findings was significantly higher in patients who did not survive the infection than in patients who were discharged after recovery (41.7% vs. 27.4%, P < 0.001). Increased AA-CAS was found to be associated with a higher risk of ischemic conditions in abdominal CT examinations. Abdominal symptoms in patients with COVID-19 are usually associated with positive CT findings. The presence of ischemic findings on CT correlates with poor COVID-19 outcomes. A high AA-CAS is associated with abdominal ischemic findings in patients with COVID-19.

Background/Objectives: Benign prostatic hyperplasia (BPH) is a prevalent condition in aging men and a major cause of lower urinary tract symptoms (LUTSs). While traditional treatments such as transurethral resection of the prostate (TURP) are effective, they are associated with notable morbidity. Ultrasound-guided transperineal laser ablation (TPLA) has emerged as a minimally invasive alternative. This study aimed to assess the 12-month efficacy, safety, and functional outcomes of TPLA in patients with LUTS secondary to BPH. Methods: This was a single-center, retrospective observational cohort study including 53 patients with moderate-to-severe LUTS due to BPH who underwent TPLA between November 2021 and May 2024. Baseline and follow-up assessments were conducted at 1, 3, 6, and 12 months, including IPSS, Qmax, PVR, prostate volume (MRI), QoL, IIEF-5, and MSHQ-ED/Bother scores. The procedure was performed under local anesthesia using the EchoLaser™ system, and ablation was guided via real-time transrectal ultrasonography. Results: Statistically significant improvements were observed in IPSS (median decrease from 30 to 13), Qmax (5.5 to 13.0 mL/s), and PVR (200 to 85 mL). Prostate and adenoma volumes decreased by 41.2% and 58.3%, respectively. Quality of life scores improved, and erectile function remained stable. Ejaculatory function improved significantly based on MSHQ-ED and MSHQ-Bother scores. No major complications or conversions to surgery occurred. Conclusions: TPLA appears to be a safe, effective, and minimally invasive treatment modality for LUTS caused by BPH. It offers sustained symptomatic relief, prostate volume reduction, and preservation of sexual function, making it a promising alternative for patients unfit or unwilling to undergo invasive surgery.

Objective To determine GPT-4’s effectiveness in writing scientific radiology article abstracts and investigate human reviewers’ and AI Content detectors’ success in distinguishing these abstracts. Additionally, to determine the similarity scores of abstracts generated by GPT-4 to better understand its ability to create unique text. Methods The study collected 250 original articles published between 2021 and 2023 in five radiology journals. The articles were randomly selected, and their abstracts were generated by GPT-4 using a specific prompt. Three experienced academic radiologists independently evaluated the GPT-4 generated and original abstracts to distinguish them as original or generated by GPT-4. All abstracts were also uploaded to an AI Content Detector and plagiarism detector to calculate similarity scores. Statistical analysis was performed to determine discrimination performance and similarity scores. Results Out of 134 GPT-4 generated abstracts, average of 75 (56%) were detected by reviewers, and average of 50 (43%) original abstracts were falsely categorized as GPT-4 generated abstracts by reviewers. The sensitivity, specificity, accuracy, PPV, and NPV of observers in distinguishing GPT-4 written abstracts ranged from 51.5% to 55.6%, 56.1% to 70%, 54.8% to 60.8%, 41.2% to 76.7%, and 47% to 62.7%, respectively. No significant difference was observed between observers in discrimination performance. Conclusion GPT-4 can generate convincing scientific radiology article abstracts. However, human reviewers and AI Content detectors have difficulty in distinguishing GPT-4 generated abstracts from original ones.

Background: Temporal bone is a region where fat suppression is difficult due to the inhomogeneity of various structures with different molecular properties. Introduction: We aimed to determine the most effective fat suppression sequence in order to increase the visibility of the inner ear region. Methods: The hybrid techniques and T1-Weighted mDIXON images of 40 patients with Magnetic Resonance (MR) imaging of the inner ear were prospectively compared by two experienced radiologists in terms of fat suppression efficacy. In all fat-suppressed sequences, the Signal to Noise Ratio (SNR), the spinal cord signal intensity / mean fat signal intensity ratio and spinal cord signal to noise ratio were calculated. The suppression efficacy of MR techniques for fat areas in the inner ear was visually graded. Results: Qualitative assessment of image quality due to fat suppression in the inner ear was made; the Dixon technique performed significantly better than SPAIR and SPIR techniques (p<0.0001). The mean signal intensity of the inner ear fat and SNR for the Dixon technique were significantly lower than that for SPIR and SPAIR techniques (p<0.0001). Inter-observer agreement regarding the assessment of the inner ear fat, mean signal intensity values and mean SNR values for fat suppression techniques was significant. Conclusion: The Dixon technique exhibited higher image quality and fat suppression efficiency than the hybrid techniques in the MR imaging of the inner ear.