Objectives: The aim of this study was to investigate potential benefits of ultra-high resolution (UHR) over standard resolution scan mode in ultra-low dose photon-counting detector CT (PCD-CT) of the lung.
Materials And Methods: Six cadaveric specimens were examined with 5 dose settings using tin prefiltration, each in UHR (120 × 0.2 mm) and standard mode (144 × 0.4 mm), on a first-generation PCD-CT scanner. Image quality was evaluated quantitatively by noise comparisons in the trachea and both main bronchi. In addition, 16 readers (14 radiologists and 2 internal medicine physicians) independently completed a browser-based pairwise forced-choice comparison task for assessment of subjective image quality. The Kendall rank coefficient ( W ) was calculated to assess interrater agreement, and Pearson's correlation coefficient ( r ) was used to analyze the relationship between noise measurements and image quality rankings.
Results: Across all dose levels, image noise in UHR mode was lower than in standard mode for scan protocols matched by CTDI vol ( P < 0.001). UHR examinations exhibited noise levels comparable to the next higher dose setting in standard mode ( P ≥ 0.275). Subjective ranking of protocols based on 5760 pairwise tests showed high interrater agreement ( W = 0.99; P ≤ 0.001) with UHR images being preferred by readers in the majority of comparisons. Irrespective of scan mode, a substantial indirect correlation was observed between image noise and subjective image quality ranking ( r = -0.97; P ≤ 0.001).
Conclusions: In PCD-CT of the lung, UHR scan mode reduces image noise considerably over standard resolution acquisition. Originating from the smaller detector element size in fan direction, the small pixel effect allows for superior image quality in ultra-low dose examinations with considerable potential for radiation dose reduction.
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http://dx.doi.org/10.1097/RLI.0000000000001013 | DOI Listing |
Lecanemab, a humanized IgG1 monoclonal antibody that binds with high affinity to amyloid-beta (Aβ) protofibrils, was formally evaluated as a treatment for early Alzheimer's disease in a phase 2 study (Study 201) and the phase 3 Clarity AD study. These trials both included an 18-month, randomized study (core) and an open-label extension (OLE) phase where eligible participants received open-label lecanemab for up to 30 months to date. Clinical (CDR-SB, ADAS-Cog14, and ADCS-MCI-ADL), biomarker (PET, Aβ42/40 ratio, and ptau181) and safety outcomes were evaluated.
View Article and Find Full Text PDFAm J Rhinol Allergy
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Department of Otolaryngology - Head and Neck Surgery, Eastern Virginia Medical School, Norfolk, VA, USA.
Background: The Sino-nasal Outcome Test (SNOT-22) is a 22-question survey that is utilized to evaluate health-related quality of life of patients with chronic rhinosinusitis (CRS). The Patient Global Impression Symptom Severity (PGISS) is a similar yet versatile instrument that combines features of both a Likert scale and a visual analog to assess symptom severity in CRS patients. While previous studies have evaluated the validity of SNOT-22 as an instrument to measure CRS patients' symptom severity, no studies have evaluated PGISS scale's ability to evaluate and guide treatment plans for CRS patients.
View Article and Find Full Text PDFAlzheimers Dement
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National University, Muscat, Muscat, Oman.
Background: This study explores Alzheimer's prediction through brain MRI images, utilizing Convolutional Neural Networks (CNNs) and Lime interpretability. Based on an extensive ADNI MRI dataset, we demonstrate promising results in predicting Alzheimer's disease. Local Interpretable Model Agnostic Explanations (LIME) shed light on decision-making processes, enhancing transparency.
View Article and Find Full Text PDFAlzheimers Dement
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Prevent Alzheimer's Disease 2020, Inc., Rockville, MD, USA.
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Study Type: Prospective.
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