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Objective: To investigate the diagnostic accuracy of various combinations of patient-reported outcome measures (PROMs) and upper aerodigestive tract finding instruments dedicated to the clinical diagnosis of laryngopharyngeal reflux disease (LPRD).
Study Design: Prospective, multicenter study.
Setting: University hospital.
Methods: Patients with LPRD at the 24-hour hypopharyngeal-esophageal multichannel intraluminal impedance-pH monitoring were recruited from three European hospitals. Asymptomatic individuals served as the control group. Participants completed the Reflux Symptom Index (RSI), Reflux Symptom Score (RSS), and Reflux Symptom Score-12 (RSS-12) at baseline and 3-month posttreatment. Clinical signs were evaluated with the Reflux Finding Score (RFS), Reflux Sign Assessment (RSA), and Reflux Sign Assessment-10 (RSA-10). Sensitivity (SE), specificity (SP), positive predictive value (PPV), and negative predictive value (NPV) were calculated for each instrument and their combinations.
Results: A total of 542 LPRD patients and 204 healthy controls were included. The RSS was the PROM with the highest SE (95.4%), whereas RSS-12 reported the highest SP (94.7%). RSA had the highest SE (94.0%), and RSA-10 reported the highest SP (76.3%). The highest SE and SP of combination tools were found for RSS+RSA (90.4%) and RSS+RSA-10 (99.4%), respectively. RSS+RSA-10 achieved the highest PPV value (99.7%) and RSS+RSA had the highest NPV (79.3%). Overall, the RSS demonstrated the greatest diagnostic accuracy with an area under the curve (AUC) of 0.985. The combination RSS+RSA reported an AUC of 0.934.
Conclusion: The combination of RSS and RSA provided the most accurate diagnostic performance, maximizing SE, SP, PPV, and NPV. This combination offers enhanced utility for the preliminary diagnosis of LPRD.
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http://dx.doi.org/10.1002/ohn.1237 | DOI Listing |
MAGMA
September 2025
Computational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, University Medical Center Utrecht, Heidelberglaan 100, 3585CX, Utrecht, The Netherlands.
Objective: Within gradient-spoiled transient-state MR sequences like Magnetic Resonance Fingerprinting or Magnetic Resonance Spin TomogrAphy in Time-domain (MR-STAT), it is examined whether an optimized RF phase modulation can help to improve the precision of the resulting relaxometry maps.
Methods: Using a Cramer-Rao based method called BLAKJac, optimized sequences of RF pulses have been generated for two scenarios (amplitude-only modulation and amplitude + phase modulation) and for several conditions. These sequences have been tested on a phantom, a healthy human brain and a healthy human leg, to reconstruct parametric maps ( and ) as well as their standard deviations.
J Imaging Inform Med
September 2025
Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Large language models (LLMs) have been successfully used for data extraction from free-text radiology reports. Most current studies were conducted with LLMs accessed via an application programming interface (API). We evaluated the feasibility of using open-source LLMs, deployed on limited local hardware resources for data extraction from free-text mammography reports, using a common data element (CDE)-based structure.
View Article and Find Full Text PDFImmunol Res
September 2025
Department of Immunology and Allergy, Faculty of Medicine, Necmettin Erbakan University, Konya, Türkiye.
Background: Variants of uncertain significance (VUS) represent a major diagnostic challenge in the interpretation of genetic testing results, particularly in the context of inborn errors of immunity such as severe combined immunodeficiency (SCID). The inconsistency among computational prediction tools often necessitates expensive and time-consuming wet-lab analyses.
Objective: This study aimed to develop disease-specific, multi-class machine learning models using in silico scores to classify SCID-associated genetic variants and improve the interpretation of VUS.
Thorax
September 2025
Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
Introduction: Breathlessness is a common cause of hospital admission globally and is associated with high mortality, particularly in low-income countries. In sub-Saharan Africa, there is a paucity of data on breathlessness, with existing data focused on individual diseases. There is a need for patient-centred approaches to understand interactions between multiple conditions to address population needs and inform health system responses.
View Article and Find Full Text PDFFoot Ankle Surg
September 2025
Dr. D.Y. Patil Vidyapeeth (Deemed to be University), Pimpri, Pune, Maharashtra, India. Electronic address: