Aims: To evaluate the agreement between a visual and an automatic counting system of lung B-lines by ultrasound (US) as well as to test the inter- and intra-observer reliability of both systems in patients with lung diseases.
Material And Methods: We included four patients with different lung conditions. Four ultrasonographers expert in lung US blindly, independently and consecutively performed, in two rounds, a US B-mode assessment of 8 lung intercostal spaces of each patient. Each US assessment consisted of a visual and an automatic counting of B-lines.
Results: Agreement between visual and automatic counting of B-lines was good to excellent [intraclass correlation coefficient (ICC) 0.79-0.84, p<0.001]. Intra-observer reliability was good to excellent [ICC 0.62-0.99, p<0.001] except for one investigator in whom it was close to moderate for the automatic system [ICC 0.49, p<0.05]. Inter-observer reliability was excellent for both systems in both rounds [ICC 0.86-0.90, p<0.001].
Conclusions: US automatic counting was consistent with US visual counting of lung B-lines, as performed by experts in the field. Both systems showed a high intra- and interobserver reliability.
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http://dx.doi.org/10.11152/mu-1885 | DOI Listing |
Zh Nevrol Psikhiatr Im S S Korsakova
December 2024
Novosibirsk State Medical University, Novosibirsk, Russia.
Objective: To evaluate the effectiveness of complex rehabilitation measures using the drug Cortexin in children with neuropsychiatric pathology during a one-year follow-up.
Material And Methods: A promising dynamic examination and treatment of 323 children with neuropsychiatric pathology from the age of 7 days to 1 year, age 3.2±1.
Acta Ophthalmol
December 2024
Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Purpose: The relationship between retinal morphology, as assessed by optical coherence tomography (OCT), and retinal function in microperimetry (MP) has not been well studied, despite its increasing importance as an essential functional endpoint for clinical trials and emerging therapies in retinal diseases. Normative databases of healthy ageing eyes are largely missing from literature.
Methods: Healthy subjects above 50 years were examined using two MP devices, MP-3 (NIDEK) and MAIA (iCare).
Sci Rep
December 2024
Institute for Systems and Computer Engineering Technology and Science (INESC-TEC), Porto, 4200-465, Portugal.
An automatic system for pathology classification in chest X-ray scans needs more than predictive performance, since providing explanations is deemed essential for fostering end-user trust, improving decision-making, and regulatory compliance. CLARE-XR is a novel methodology that, when presented with an X-ray image, identifies the associated pathologies and provides explanations based on the presentation of similar cases. The diagnosis is achieved using a regression model that maps an image into a 2D latent space containing the reference coordinates of all findings.
View Article and Find Full Text PDFAm J Otolaryngol
December 2024
Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Tianjin 300192, China; Institute of Otolaryngology of Tianjin, Tianjin, China; Key Laboratory of Auditory Speech and Balance Medicine, Tianjin, China; Key Clinical Discipline of Tianjin (Otolaryngology), Tianjin, China; Otolaryngology Clinical Quality Control Centre, Tianjin, China.
Purpose: To use deep learning technology to design and implement a model that can automatically classify laryngoscope images and assist doctors in diagnosing laryngeal diseases.
Materials And Methods: The experiment was based on 3057 images (normal, glottic cancer, granuloma, Reinke's Edema, vocal cord cyst, leukoplakia, nodules and polyps) from the dataset Laryngoscope8. A classification model based on deep neural networks was developed and tested.
Tomography
December 2024
Centre for Research and Development, Uppsala University, Region Gävleborg, SE 801 88 Gävle, Sweden.
Background: This study aimed to assess the interobserver variability of semi-automatic diameter and volumetric measurements versus manual diameter measurements for small lung nodules identified on computed tomography scans.
Methods: The radiological patient database was searched for CT thorax examinations with at least one noncalcified solid nodule (∼3-10 mm). Three radiologists with four to six years of experience evaluated each nodule in accordance with the Fleischner Society guidelines using standard diameter measurements, semi-automatic lesion diameter measurements, and volumetric assessments.
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