Context.—: Digital pathology requires pathologists to assess tissue digitally rather than on an analog microscope, which has been the mainstay tool for tissue assessment for more than a century. The impact of different digital interaction configurations on pathologists' performance is not well understood. This work focuses on the impact of the display window size for diagnostic assessment.
Objective.—: To determine the effect of digital image viewer window size on pathologists' diagnostic performance when searching for tumors in lymph nodes while under a time limit.
Design.—: Six pathologists assessed 8 breast lymph node whole slide images using 4 digital image viewer window sizes (8, 14, 24, and 32 inches) for tumors in lymph nodes while under a time limit. Eye-gaze data were collected. Pathologists were subsequently asked to rate their preference of window sizes.
Results.—: The fraction of window not covered with foveated vision was significantly associated with window size ranging from 43% for 32 inches to 5% for 8 inches (P < .001). There was no statistically significant relationship between the number of false negatives or assessment time and window size (P = .21 and P = .28, respectively). The distance traversed per panning instance ranged from 301 pixels for 32-inch to 193 pixels for 8-inch windows (P = .002). All pathologists preferred the largest window size as it provided more context for diagnostic assessment.
Conclusions.—: Window size does not significantly affect pathologists' diagnostic performance when searching for tumors in lymph nodes. However, pathologists adapted their slide navigation approach to accommodate the amount of context the window size permitted.
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http://dx.doi.org/10.5858/arpa.2024-0378-OA | DOI Listing |
PLoS One
January 2025
Department of Medicine Epidemiology and Population Sciences, Baylor College of Medicine, Houston, Texas, United States of America.
Objectives: It is significant to know how much early detection and screening could reduce the proportion of occult metastases and benefit NSCLC patients.
Methods: We used previously designed and validated mathematical models to obtain the characteristics of LC in the population including undetectable metastases at the time of diagnosis. The survival was simulated using the survival functions from Surveillance, Epidemiology and End Results (SEER) data stratified by stage.
Alzheimers Dement
December 2024
Cleveland Clinic, Cleveland, OH, USA.
Background: Cell-type specific expression quantitative trait loci (eQTLs) can help dissect cellular heterogeneity in the impact of genetic variation on gene expression for Alzheimer's disease (AD) and AD-related dementia (ADRD). However, due to the high cost and stringent sample collection criteria, it is challenging to obtain large single-nuclei RNA sequencing (snRNA-seq) data with sufficient cohort size to match genotyping data to systematically identify human brain-specific eQTLs for AD/ADRD.
Method: In this study, we presented a deep learning-based deconvolution framework on large-scale bulk RNA sequencing (RNA-seq) data to infer cell-type specific eQTLs in the human brains with AD/ADRD.
Alzheimers Dement
December 2024
Cleveland Institute for Computational Biology, Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.
Background: While there are numerous genome-wide association studies (GWAS) assessing the genetic basis of Alzheimer's disease (AD), there are far fewer studies examining genetic factors for cognitive and global resilience to AD neuropathology. By focusing on a gene-level rather than a single-variant basis, transcriptome-wide association studies (TWAS) have increased statistical power relative to GWAS and can assess the role of genetically regulated gene expression in AD resilience. We leveraged the largest available cis-eQTL meta-analysis summary statistics from brain tissue (MetaBrain Brain-Cortex; N = 2,547) and whole blood (eQTLGen; N = 31,684) and applied them to the largest cognitive and global resilience to AD neuropathology summary statistics from Dumitrescu et al.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Kentucky, Lexington, KY, USA.
Background: Disruption of sleep and circadian rhythms are associated with cognitive decline, preclinical Alzheimer's Disease (AD) pathology, and increased risk of dementia. Alleviating circadian rhythm and sleep disruption may improve cognition and reduce the progression of AD and related dementias (ADRD). Time-restricted eating (TRE), a circadian behavioral intervention that corrects disrupted eating rhythms by aligning food intake to the daytime, has demonstrated improvements in metabolic dysfunction and sleep quality.
View Article and Find Full Text PDFDrug Des Devel Ther
January 2025
Department of Pharmacy, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Background: Sirolimus is a commonly used immunosuppressant administered after solid organ transplantation. It is characterized by a narrow therapeutic window and highly variable exposure, necessitating the identification of the sources of variability and design of individualized drug therapies.
Aim: This study aimed to perform a population pharmacokinetic (PK) analysis of sirolimus in adult liver transplant recipients and develop dosing regimen recommendations according to patient characteristics.
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