Evidence map›Paper›PMID 34249632›Full record

ArticleQuantitative imaging in medicine and surgery2021

Ultrahigh field MRI determination of water diffusion rates in

Thomas Stahnke, Tobias Lindner, Rudolf Guthoff, Oliver Stachs, Andreas Wree, Sönke Langner, Thoralf Niendorf, Niels Grabow, Änne Glass, Ebba Beller and 1 more

Erratum issuedOpen access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. European radiology experimental · 2025
    Article
  3. Micro-CT in ophthalmology:Quantitative imaging in medicine and surgery · 2022
    Article
  4. Erratum to ultrahigh field MRI determination of water diffusion rates inQuantitative imaging in medicine and surgery · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Thomas StahnkeDepartment of Ophthalmology, Rostock University Medical Center, Rostock, Germany.
Tobias LindnerCore Facility Multimodal Small Animal Imaging, Rostock University Medical Center, Rostock, Germany.
Rudolf GuthoffDepartment of Ophthalmology, Rostock University Medical Center, Rostock, Germany.
Oliver StachsDepartment of Ophthalmology, Rostock University Medical Center, Rostock, Germany.
Andreas WreeInstitute of Anatomy, Rostock University Medical Center, Rostock, Germany.
Sönke LangnerInstitute of Diagnostic and Interventional Radiology, Rostock University Medical Center, Rostock, Germany.
Thoralf NiendorfBerlin Ultrahigh Field Facility, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
Niels GrabowInstitute of Biomedical Engineering, Rostock University Medical Center, Friedrich- Rostock, Germany.
Änne GlassInstitute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Rostock, Germany.
Ebba BellerInstitute of Diagnostic and Interventional Radiology, Rostock University Medical Center, Rostock, Germany.
Stefan PoleiCore Facility Multimodal Small Animal Imaging, Rostock University Medical Center, Rostock, Germany.
University of Rostock · DEMax Delbrück Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe development of presbyopia is correlated with increased lens stiffness. To reveal structural changes with age, ultrahigh field magnetic resonance imaging (UHF-MRI) was used to analyze water diffusion in differently aged human lenses

methodsAfter enucleation lens extractions were performed. Lenses were photographed, weighed, and embedded in 0.5% agarose dissolved in culture medium. UHF-MRI was conducted to analyze anatomical characteristics of the lens using T2-weighted Turbo-RARE imaging and to obtain apparent diffusion coefficients (ADC) measurements. A Gaussian fit routine was used to examine the ADC histograms.

resultsAn age-dependent increase in lens wet weight, lens thickness, and lens diameter was found (P<0.001). T2-weighted images revealed a hyperintense lens cortex and a gradually negative gradient in signal intensity towards the nucleus. ADC histograms of the lens showed bimodal distributions (lower ADC values mainly located in the nucleus and higher ADC values mainly located in the cortex), which did not change significantly with age [βPeak1=1.96E-7 (-20E-7, 10E-7), P=0.804 or βPeak2=15.4E-7 (-10E-7, 40E-7), P=0.276; respectively].

conclusionsClinically relevant age dependent lens hardening is probably not correlated with ADC changes within the nucleus, which could be confirmed by further measurements.

Indexed as

agingdiffusion weighted imaginghuman lensUltrahigh field magnetic resonance imaging (UHF-MRI)

Identifiers

PMID34249632
PMCPMC8250020
OpenAlexW3158778740

What OpenQuestion holds

Textmetadata
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.