ArticleQuantitative imaging in medicine and surgery2025
Fully automated deep learning model for the evaluation of cavum septum pellucidum development in normal fetuses using magnetic resonance imaging: a Chinese cohort study.
Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Radiologic analysis of cavum septi pellucidi and cavum vergae in children.Surgical and radiologic anatomy : SRA · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The cavum septum pellucidum (CSP) is an essential landmark in evaluating fetal brain development. The aim of this study was to assess the development of normal fetal CSP across different gestational ages (GAs) in a Chinese cohort using a deep learning (DL) model, and to provide reference for magnetic resonance imaging (MRI) prenatal diagnosis. Methods: A retrospective analysis of 1,047 normal pregnant participants (mean GA 31.21±3.81 weeks) in the second and third trimester was conducted. Fetuses with central nervous system (CNS) anomalies were excluded. A fully automated DL model was developed to measure CSP volume, CSP length, CSP width, CSP height, ratio of CSP volume to whole brain volume, and ratio of CSP volume to cerebrum volume. Linear regression and second-order polynomial regression was used to assess the relationship between CSP measurements and GA. Results: CSP volume showed a second-order polynomial correlation with GA ( Conclusions: CSP volume, width, and height reach a maximum between 28 and 32 weeks of gestation. CSP length exhibits an upward trend after 22 weeks. The ratio of CSP volume to whole brain volume and ratio of CSP volume to cerebrum volume illustrate a downward trend after 22 weeks.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.