Topological state-space estimation of functional human brain networks.

We introduce an innovative, data-driven topological data analysis (TDA) technique for estimating the state spaces of dynamically changing functional human brain networks at rest. Our method utilizes the Wasserstein distance to measure topological differences, enabling the clustering of brain networks into distinct topological states. This technique outperforms the commonly used k-means clustering in identifying brain network state spaces by effectively incorporating the temporal dynamics of the data without the need for explicit model specification.

Does the New National Cervical Screening Programme Guideline Detect Cases of High-Grade Squamous Intraepithelial Lesions That Previously Would Have Been Missed?

Objective: The aim of this study was to determine the number of patients undergoing large loop excision of the transformation zone (LLETZ), for biopsy-confirmed high-grade squamous intraepithelial lesions (HSIL), where the original cervical screening test (CST) reported oncogenic human papillomavirus (HPV) and negative liquid-based cytology (LBC). This reflects the number of patients where a LLETZ procedure would not have occurred under the previous guideline.

Methods: Retrospective observational chart review of all patients (n = 477) who underwent LLETZ procedure in a single tertiary unit over a 36-month period.

Incidental Findings from 16,400 Brain MRI Examinations of Research Volunteers.

Background And Purpose: Incidental findings are discovered in neuroimaging research, ranging from trivial to life-threatening. We describe the prevalence and characteristics of incidental findings from 16,400 research brain MRIs, comparing spontaneous detection by nonradiology scanning staff versus formal neuroradiologist interpretation.

Materials And Methods: We prospectively collected 16,400 brain MRIs (7782 males, 8618 females; younger than 1 to 94 years of age; median age, 38 years) under an institutional review board directive intended to identify clinically relevant incidental findings.