Background: Chest X-ray (CXR) is the primary diagnostic tool for community-acquired pneumonia (CAP). Some authors recently proposed that thoracic ultrasound (TUS) could valuably flank or even reliably substitute CXR in the diagnosis and follow-up of CAP. We investigated the clinical utility of TUS in a large sample of patients with CAP, to challenge the hypothesis that it may be a substitute for CXR.
Methods: Out of 645 consecutive patients with a CXR-confirmed CAP diagnosed in the emergency room of our hospital over a three-years period, 510 were subsequently admitted to our department of Internal Medicine. These patients were evaluated by TUS by a well-trained operator who was blinded of the initial diagnosis. TUS scans were performed both at admission and repeated at day 4-6th and 9-14th during stay.
Results: TUS identified 375/510 (73.5%) of CXR-confirmed lesions, mostly located in posterior-basal or mid-thoracic areas of the lungs. Pleural effusion was detected in 26.9% of patients by CXR and in 30.4% by TUS. TUS documented the change in size of the consolidated areas as follows: 6.3 ± 3.4 cm at time 0, 2.5 ± 1.8 at 4-6 d, 0.9 ± 1.4 at 9-14 d. Out of the 12 patients with delayed CAP healing, 7 of them turned out to have lung cancer.
Conclusions: TUS allowed to detect lung consolidations in over 70% of patients with CXR-confirmed CAP, but it gave false negative results in 26.5% of cases. Our longitudinal results confirm the role of TUS in the follow-up of detectable lesions. Thus, TUS should be regarded as a complementary and monitoring tool in pneumonia, instead of a primary imaging modality.
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http://dx.doi.org/10.1186/s12880-017-0225-5 | DOI Listing |
Int J Pharm
January 2025
Faculty of Pharmaceutical Sciences, Tokyo University of Science, 2641 Yamazaki, Noda, Chiba 278-8510, Japan.
Hydrophobicity is associated with drug transport across membranes and is expressed as the partition coefficient log P for neutral drugs and the distribution coefficient log D for acidic and basic drugs. The log P and log D predictions are deductively (or with artificial intelligence) estimated as the sum of the partial contributions of the scaffold and substituents of a single molecule and are used widely and affirmatively. However, their predictions have not always been comprehensively accurate beyond scaffold differences.
View Article and Find Full Text PDFOral Oncol
January 2025
Division of Otolaryngology-Head & Neck Surgery, Department of Surgery, University of British Columbia, Canada. Electronic address:
Background: In the context of transoral robotic surgery (TORS) for oropharyngeal squamous carcinoma (OPSCC), preoperative imaging and intraoperative visualization plays a pivotal role in optimizing resection margins. Prior work has demonstrated the ability of transoral ultrasound (US) in identifying OPSCC margins and vascular structures. This study evaluates the effectiveness of transcervical ultrasound (TUS), as well as other preoperative imaging modalities, in evaluating OPSCC volumes and compares this to post TORS pathological OPSCC volumes.
View Article and Find Full Text PDFACS Omega
December 2024
Department of Physics, Bernal Institute, University of Limerick, Limerick V94 T9PX, Ireland.
The remediation of antimicrobial resistance (AMR) is a fundamental challenge for global healthcare. Intrinsically disordered proteins (IDPs) are recognized drug targets for neurodegeneration and cancer but have not been considered to date for AMR. Here, a novel link between structural disorder and AMR is identified by mapping predicted disorder profiles onto existing transcriptomic data for resistant and susceptible isolates.
View Article and Find Full Text PDFNetw Neurosci
December 2024
Precision Imaging, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Low-intensity transcranial ultrasound stimulation (TUS) is a noninvasive technique that safely alters neural activity, reaching deep brain areas with good spatial accuracy. We investigated the effects of TUS in macaques using a recent metric, the synergy minus redundancy rank gradient, which quantifies different kinds of neural information processing. We analyzed this high-order quantity on the fMRI data after TUS in two targets: the supplementary motor area (SMA-TUS) and the frontal polar cortex (FPC-TUS).
View Article and Find Full Text PDFSci Rep
December 2024
Department of Applied Mathematics, Tokyo University of Science, Shinjuku, Tokyo, 162-8601, Japan.
Reservoir computing is a machine learning framework that exploits nonlinear dynamics, exhibiting significant computational capabilities. One of the defining characteristics of reservoir computing is that only linear output, given by a linear combination of reservoir variables, is trained. Inspired by recent mathematical studies of generalized synchronization, we propose a novel reservoir computing framework with a generalized readout, including a nonlinear combination of reservoir variables.
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