Background/Objectives: This study evaluates intratumoral susceptibility signals (ITSS) as imaging markers for glioma grade prediction and their association with molecular and histopathologic features, in the context of the fifth edition of the World Health Organization Classification of Tumors of the Central Nervous System (WHO CNS5). Methods: We retrospectively analyzed patients with adult diffuse gliomas who underwent pretreatment magnetic resonance imaging. ITSS were semiquantitatively graded by two radiologists: grade 0 (no signal), grade 1 (1–5), grade 2 (6–10), and grade 3 (≥11). Relative cerebral blood volume (rCBV) and tumor volume were also obtained. Histopathologic features included tumor grade, Ki-67, mitotic count, necrosis, microvascular proliferation, and molecular alterations (isocitrate dehydrogenase [IDH], 1p/19q, cyclin-dependent kinase inhibitors 2A and 2B [CDKN2A/B], and p53). Regression models predicted tumor grade (low: 1–2, high: 3–4) using ITSS, tumor volume, and rCBV. ROC curves and diagnostic performance metrics were analyzed. Results: 99 patients were included. ITSS grading correlated with rCBV, tumor volume, mitotic count, Ki-67, and tumor grade (p < 0.001). ITSS grades 0–1 were associated with oligodendrogliomas and astrocytomas (p < 0.001), IDH mutations (p < 0.001), and 1p/19q co-deletions (p = 0.01). ITSS grades 2–3 were linked to glioblastomas (p < 0.001), necrosis (p < 0.001), microvascular proliferation (p < 0.001), and CDKN2A/B homozygous deletions (p = 0.02). Models combining ITSS with rCBV and volume showed AUC of 0.94 and 0.96 (p < 0.001), outperforming univariate models. Conclusions: Semiquantitative ITSS grading correlates with key histopathologic and molecular glioma features. Combined with perfusion and volumetric parameters, ITSS enhance non-invasive glioma grading, in alignment with WHO CNS5.

The aim of the present study is to describe and evaluate a new technique for performing Computed-Tomography Retrograde Urethrography (CT-RUG). Males with urethral anomalies detected by retrograde urethrography (RUG) and/or retrograde sonourethrography (RSUG) underwent CT-RUG using the clamp method and three radiologists evaluated the anomalies in each technique separately and blindly. CT-RUG was done successfully in all the cases (n = 22), with means of 6 min duration and 95 mL of contrast; no pain was reported by 81% of the patients (VAS: 0) and very mild pain by the rest (VAS: 0.5–1.2). CT-RUG showed better diagnostic efficacy in cases of periurethral fistula (n = 8), urethral stent (n = 3), previous urethroplasty and urethral lithiasis (n = 2), a similar accuracy to RSUG for measuring the length of anterior urethral strictures (n = 9) and greater accuracy than RUG (p = 0.008). Six cases received 2 CT sweeps, with an effective dose of 4.96 mSv, and the remaining 16 had 1 sweep and received 3.456 mSv. To the best of our knowledge, this is the first study to describe the clamp method for CT-RUG, a method that is effective and comfortable for both the patient and the operator (retrograde infusion of contrast).

A new method for ocular ultrasound examination

Background: Knee MRI is one of the most performed MR exams in outpatient settings and has a crucial role in detecting pathology. To increase access to advanced imaging and provide valuable diagnostic information to the clinician, reducing imaging acquisition time while preserving good image qualities is crucial. Deep learning-based reconstruction (DLR) algorithm (SubtleMR™) may be an alternative to conventional MRI with reduced scanning time while preserving image quality and diagnostic value. To compare image quality and diagnostic performance among conventional sequences and an automated accelerated deep learning-based reconstruction (DLR) knee algorithm method in patients with knee pain. Material and Methods: A total of 50 consecutive patients (26 men, mean age of 43.5 ± 10 years) with knee pain who underwent conventional (acquisition time: 13 min and 27 s) and accelerated DLR (acquisition time: 6 min and 45 s) knee MRI between November 2020 and December 2020 on a 1.5 T MRI system were prospectively enrolled. Two independent musculoskeletal radiologists compared the image quality artifacts and pathology using a 3-point Likert scale (1–3). Data were compared using paired Wilcoxon signed rank tests. Results: Forty-three patients with 86 knee MRI examinations were included. A comparison of conventional sequences and accelerated DLR by both readers revealed that there were no significant differences in overall diagnosis, image quality, and artifacts. Accelerated DLR knee MRI is comparable with conventional acquisitions, with an average time difference of 6 min and 42 s per patient (49.81%). Conclusions: Accelerated DLR knee MRI substantially reduces acquisition time (~49.81%) while maintaining equivalent diagnosis and image quality.