Lundingguldborg5590
sing bone marrow changes in MM patients than single-voxel MRS.
We aimed to evaluate whether rapid kV-switching dual energy CT (rsDECT) can discriminate between papillary renal cell carcinoma (RCC) and benign proteinaceous cysts (BPCs) based on iodine and water content.
Twenty-four patients with histopathologically proven papillary RCC and 38 patients with 41 BPCs were retrospectively included. Patients with BPCs were eligible for inclusion when the cysts were stable in size and appearance for at least 2 years or proved to be a cyst on ultrasound or MRI. All patients underwent delayed phase (70-90 s) rsDECT. Iodine and water content of each lesion was measured on the workstation.
Of papillary RCC patients, 4 (16%) were female and 20 (84%) were male. Mean tumor size was 39±20 mm. Mean iodine and water content was 2.08±0.7 mg/mL and 1021±14 mg/mL, respectively. Of BPC patients, 9 were female and 29 were male. Mean cyst size was 20±7 mm. Mean iodine and water content was 0.82±0.4 mg/mL and 1012±14 mg/mL, respectively. There were significant differences between iodine and water contents of papillary RCCs and BPCs (P < 0.001). The best cutoff of iodine content for differentiating papillary RCC from BPC was 1.21 mg/mL (area under the curve [AUC]=0.97, P < 0.001, sensitivity 96%, specificity 88%, positive predictive value [PPV] 82%, negative predictive value [NPV] 97%, accuracy 91%,); the best cutoff of water content was 1015.5 mg/mL (AUC=0.68, P = 0.016, sensitivity 83%, specificity 56%, PPV 52%, NPV 85%, accuracy 66%).
An iodine content threshold of 1.21 mg/mL accurately differentiates papillary RCC from BPCs on a single postcontrast rsDECT. Despite having a high sensitivity, water content has inferior diagnostic accuracy.
An iodine content threshold of 1.21 mg/mL accurately differentiates papillary RCC from BPCs on a single postcontrast rsDECT. Despite having a high sensitivity, water content has inferior diagnostic accuracy.Artificial intelligence (AI) has great potential to accelerate scientific discovery in medicine and to transform healthcare. In radiology, AI is about to enter into clinical practice and has a wide range of applications covering the whole diagnostic workflow. Vorinostat datasheet However, AI applications are not smooth sailing. It is crucial to understand the potential risks and hazards that come with this new technology. We have to implement AI in the best possible way to reflect the time-honored ethical and legal standards while ensuring the adequate protection of patient interests. These issues are discussed under the light of core biomedical ethics principles and principles for AI-specific ethical challenges while giving an overview of the statements that were proposed for the ethics of AI applications in radiology.
The role of computed tomography (CT)-guided gastrostomy tube placement is still evolving. It is a valuable alternative to guide gastrostomy tube placement in a few selected patients, who are not candidates for the established endoscopy- or fluoroscopy-guided gastrostomy tube placement. Our objective was to describe our institutional experience placing gastrostomy tubes using CT guidance and to conduct a review of literature for similar studies to provide the best current evidence on success rates and complications.
We identified gastrostomy tubes placed under CT guidance at our institution using a comprehensive case log. We also identified studies in the literature, through a systematic search of PubMed. In both the local and literature analyses, we recorded success and complication rates.
A total of 31 patients underwent 33 attempted CT-guided gastrostomy tube placements at our institution, with 32 successful procedures yielding a success rate of 97%. The overall rate of successful gastrostomy tube placement using CT-guidance was 94.9% (634/668), as reported in the existing literature.
CT-guidance is an effective method for gastrostomy tube placement and may play an important role in patients for whom endoscopic or fluoroscopic gastrostomy tube placement is not feasible.
CT-guidance is an effective method for gastrostomy tube placement and may play an important role in patients for whom endoscopic or fluoroscopic gastrostomy tube placement is not feasible.
We aimed to determine the relationship of abnormal labyrinthine signals on heavily T2-weighted three-dimensional fluid-attenuated inversion recovery imaging (HF sequence) with hearing impairment and prognosis in patients with sudden sensorineural hearing loss (SSNHL).
Patients with unilateral SSNHL underwent magnetic resonance imaging, including pre-contrast HF sequences and post-contrast HF sequences with a 4-hour scan delay after intravenous gadolinium injection. We measured the signal intensity ratio (SIR) of the vestibule and cochlea relative to the cerebellar medulla on post-contrast HF sequences, and analyzed the relationship of SIR with hearing impairment and prognosis.
Of 61 patients, 23 (37.7%) showed signal abnormalities on post-contrast HF sequences. Initial hearing loss and hearing recovery were worse in the HF+ group than in the HF- group (P < 0.05). Profound hearing loss was more common in the HF+ group (52.2% vs. 23.7%), while moderate hearing loss was more common in the HF- group (18.4% vs. 0.0%; P < 0.05 for both). The rate of partial recovery was higher in the HF- group (42.1%) than in the HF+ group (13.0%; P < 0.05). The SIRs of the vestibule and cochlea were positively correlated with the severity of hearing loss and hearing recovery, with higher SIRs indicating more severe hearing loss and poor recovery.
Labyrinthine signal abnormalities were found on post-contrast HF sequences in 37.7% of patients with SSNHL. These abnormalities were found only in patients with severe-to-profound hearing loss. Increased SIR indicated more severe hearing loss and poor prognosis.
Labyrinthine signal abnormalities were found on post-contrast HF sequences in 37.7% of patients with SSNHL. These abnormalities were found only in patients with severe-to-profound hearing loss. Increased SIR indicated more severe hearing loss and poor prognosis.
