Evidence map›Paper›PMID 20563571›Full record

ArticleNeuroradiology2011

Accuracy and reproducibility of a novel semi-automatic segmentation technique for MR volumetry of the pituitary gland.

Diane M Renz, Horst K Hahn, Peter Schmidt, Jan Rexilius, Markus Lentschig, Alexander Pfeil, Dieter Sauner, Clemens Fitzek, Hans-Joachim Mentzel, Werner A Kaiser and 2 more

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Neuroradiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Pituitary Volume in Individuals with Social Anxiety Disorder.Psychiatry and clinical psychopharmacology · 2022
    Article
  5. Article
  6. Changes of pituitary gland volume in Kennedy disease.AJNR. American journal of neuroradiology · 2013
    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

12 authors at 7 institutions in 2 countries.

Diane M RenzDepartment of Radiology, Charité University Medicine Berlin, Campus Virchow Clinic, Augustenburger Platz 1, 13353, Berlin, Germany. diane.renz@charite.de
Horst K Hahn
Peter Schmidt
Jan Rexilius
Markus Lentschig
Alexander Pfeil
Dieter Sauner
Clemens Fitzek
Hans-Joachim Mentzel
Werner A Kaiser
Jürgen R Reichenbach
Joachim Böttcher
Friedrich Schiller University Jena · DEInstitute for Medical BioMathematics · ILJena University Hospital · DEAsklepios Fachklinikum Brandenburg · DECharité - Universitätsmedizin Berlin · DEKlinikum St. Georg · DESRH Wald-Klinikum Gera · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlthough several reports about volumetric determination of the pituitary gland exist, volumetries have been solely performed by indirect measurements or manual tracing on the gland's boundaries. The purpose of this study was to evaluate the accuracy and reproducibility of a novel semi-automatic MR-based segmentation technique.

methodsIn an initial technical investigation, T1-weighted 3D native magnetised prepared rapid gradient echo sequences (1.5 T) with 1 mm isotropic voxel size achieved high reliability and were utilised in different in vitro and in vivo studies. The computer-assisted segmentation technique was based on an interactive watershed transform after resampling and gradient computation. Volumetry was performed by three observers with different software and neuroradiologic experiences, evaluating phantoms of known volume (0.3, 0.9 and 1.62 ml) and healthy subjects (26 to 38 years; overall 135 volumetries).

resultsHigh accuracy of the volumetry was shown by phantom analysis; measurement errors were <4% with a mean error of 2.2%. In vitro, reproducibility was also promising with intra-observer variability of 0.7% for observer 1 and 0.3% for observers 2 and 3; mean inter-observer variability was in vitro 1.2%. In vivo, scan-rescan, intra-observer and inter-observer variability showed mean values of 3.2%, 1.8% and 3.3%, respectively. Unifactorial analysis of variance demonstrated no significant differences between pituitary volumes for various MR scans or software calculations in the healthy study groups (p > 0.05).

conclusionThe analysed semi-automatic MR volumetry of the pituitary gland is a valid, reliable and fast technique. Possible clinical applications are hyperplasia or atrophy of the gland in pathological circumstances either by a single assessment or by monitoring in follow-up studies.

Indexed as

SoftwareAdultAlgorithmsHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingMaleOrgan SizePituitary GlandReproducibility of Results

Identifiers

PMID20563571
OpenAlexW1975420216

What OpenQuestion holds

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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.