Evidence map›Paper›PMID 21647587›Full record

ArticleNeuroradiology2012

Assessment of pituitary adenoma volumetric change using longitudinal MR image registration.

Geir Andre Ringstad, Kyrre Eeg Emblem, Dominic Holland, Anders M Dale, Atle Bjornerud, John K Hald

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Neuroradiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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.

Geir Andre RingstadClinic for Imaging and Intervention, Oslo University Hospital-Rikshospitalet, Sognsvannsvn 20, Oslo, Norway. geir.ringstad@rikshospitalet.no
Kyrre Eeg Emblem
Dominic Holland
Anders M Dale
Atle Bjornerud
John K Hald

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChange detection is a crucial factor in monitoring of slowly evolving pathologies. The objective of the study was to test a semi-automatic method applied on longitudinal MRI monitoring of volume change in pituitary macroadenomas.

methodsThe proposed method is based on a visual comparison of geometrically corrected, co-registered, intensity-normalized contrast-enhanced (CE) 3D GRE T1-weighted images. Qualitative volume changes based on this applied method were compared with experts' readings of conventional pre- and post-CE 2D T1-weighted images. Magnetic resonance (MR) imaging was performed two to four times in 13 patients with a total combination of 29 time points.

resultsCompared to conventional 2D MR readings, a diagnosis of tumor growth (yes/no) was changed in 5 of 13 patients (38%) at 9 of the 29 combinations of time points (31%) using the 3D-based semi-automatic method. With manual tumor tracings as reference, McNemar's test showed a significant difference between the two methods.

conclusionVisual comparison of geometrically corrected, intensity-normalized, and affine-aligned longitudinal 3D images may enable more accurate assessment of qualitative volumetric change in pituitary adenomas than conventional reading of 2D images.

Indexed as

AdenomaAdultAgedArea Under CurveContrast MediaFemaleHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedPituitary NeoplasmsProspective StudiesROC CurveContrast Media

Identifiers

What OpenQuestion holds

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Registered trials

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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.