Evidence map›Paper›PMID 40295570›Full record

ArticleScientific reports2025

Automated segmentation for cortical thickness of the medial perirhinal cortex.

Nicolas A Henzen, Ahmed Abdulkadir, Julia Reinhardt, Maria Blatow, Reto W Kressig, Sabine Krumm

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Nicolas A Henzen *University Department of Geriatric Medicine FELIX PLATTER, Burgfelderstrasse 101, 4055, Basel, Switzerland. Nicolas.Henzen@felixplatter.ch.
Ahmed Abdulkadir *Department of Clinical Neurosciences, Laboratory for Research in Neuroimaging LREN, Centre for Research in Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Julia ReinhardtDivision of Diagnostic and Interventional Neuroradiology, Department of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland.
Maria BlatowSection of Neuroradiology, Department of Radiology and Nuclear Medicine, Neurocenter, Cantonal Hospital Lucerne, University of Lucerne, Lucerne, Switzerland.
Reto W KressigUniversity Department of Geriatric Medicine FELIX PLATTER, Burgfelderstrasse 101, 4055, Basel, Switzerland.
Sabine KrummUniversity Department of Geriatric Medicine FELIX PLATTER, Burgfelderstrasse 101, 4055, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is characterized by a progressive spread of neurofibrillary tangles (NFT), beginning in the medial perirhinal cortex (mPRC), advancing to the entorhinal cortex (ERC), and subsequently involving the hippocampus, lateral perirhinal cortex (lPRC), and the rest of the brain. Given the close relationship between NFT accumulation and neuronal loss, the mPRC reflects a promising structural marker for early diagnosis of AD. However, only limited tools that automatically measure the cortical thickness of the mPRC are currently available. Utilizing the nnU-Net framework, we trained models on structural MRI of 126 adults, with manually segmented labels as ground truth. These models were then applied to an independent dataset of 103 adults (comprising patients with Alzheimer's dementia, amnestic mild cognitive impairment (aMCI), and healthy controls). High agreement was observed between manual and automated measurements of cortical thickness. Furthermore, we found significant atrophy in the Alzheimer's dementia group in the mPRC, ERC, and lPRC compared to healthy controls. Comparison of the aMCI group and healthy controls revealed significant differences in the ERC only. The results underscore the utility of our automated segmentation tool in advancing Alzheimer's research.

Indexed as

Alzheimer DiseasePerirhinal CortexAdultAgedAged, 80 and overCognitive DysfunctionEntorhinal CortexFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedAlzheimer’s diseaseDeep learningEntorhinal cortexPerirhinal cortexSemantic segmentationStructural MRI

Identifiers

PMID40295570
PMCPMC12037834

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.