Evidence map›Paper›PMID 27885957›Full record

ArticleJournal of neurosurgery2017

Visual pathway impairment by pituitary adenomas: quantitative diagnostics by diffusion tensor imaging.

Ylva Lilja, Oscar Gustafsson, Maria Ljungberg, Göran Starck, Bertil Lindblom, Thomas Skoglund, Henrik Bergquist, Karl-Erik Jakobsson, Daniel Nilsson

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In one paragraph

Article in Journal of neurosurgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 3 countries.

Ylva LiljaDepartment of Clinical Neuroscience and Rehabilitation and.
Oscar GustafssonDepartment of Radiation Physics and.
Maria LjungbergDepartment of Radiation Physics and.
Göran StarckDepartment of Radiation Physics and.
Bertil LindblomDepartment of Ophthalmology, Institute of Neuroscience and Physiology.
Thomas SkoglundDepartment of Clinical Neuroscience and Rehabilitation and.
Henrik BergquistDepartment of Otorhinolaryngology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg; and.
Karl-Erik JakobssonDepartment of Clinical Neuroscience and Rehabilitation and.
Daniel NilssonDepartment of Clinical Neuroscience and Rehabilitation and.
Centre for Biomedical Engineering and Physics · SESahlgrenska University Hospital · SECarolina Ear, Nose and Throat Clinic · USCzech Academy of Sciences, Institute of Physiology · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

OBJECTIVE Despite ample experience in surgical treatment of pituitary adenomas, little is known about objective indices that may reveal risk of visual impairment caused by tumor growth that leads to compression of the anterior visual pathways. This study aimed to explore diffusion tensor imaging (DTI) as a means for objective assessment of injury to the anterior visual pathways caused by pituitary adenomas. METHODS Twenty-three patients with pituitary adenomas, scheduled for transsphenoidal tumor resection, and 20 healthy control subjects were included in the study. A minimum suprasellar tumor extension of Grade 2-4, according to the SIPAP (suprasellar, infrasellar, parasellar, anterior, and posterior) scale, was required for inclusion. Neuroophthalmological examinations, conventional MRI, and DTI were completed in all subjects and were repeated 6 months after surgery. Quantitative assessment of chiasmal lift, visual field defect (VFD), and DTI parameters from the optic tracts was performed. Linear correlations, group comparisons, and prediction models were done in controls and patients. RESULTS Both the degree of VFD and chiasmal lift were significantly correlated with the radial diffusivity (r = 0.55, p < 0.05 and r = 0.48, p < 0.05, respectively) and the fractional anisotropy (r = -0.58, p < 0.05 and r = -0.47, p < 0.05, respectively) but not with the axial diffusivity. The axial diffusivity differed significantly between controls and patients with VFD, both before and after surgery (p < 0.05); however, no difference was found between patients with and without VFD. Based on the axial diffusivity and fractional anisotropy, a prediction model classified all patients with VFD correctly (sensitivity 1.0), 9 of 12 patients without VFD correctly (sensitivity 0.75), and 17 of 20 controls as controls (specificity 0.85). CONCLUSIONS DTI could detect pathology and degree of injury in the anterior visual pathways that were compressed by pituitary adenomas. The correlation between radial diffusivity and visual impairment may reflect a gradual demyelination in the visual pathways caused by an increased tumor effect. The low level of axial diffusivity found in the patient group may represent early atrophy in the visual pathways, detectable on DTI but not by conventional methods. DTI may provide objective data, detect early signs of injury, and be an additional diagnostic tool for determining indication for surgery in cases of pituitary adenomas.

Indexed as

AdenomaPituitary NeoplasmsWhite MatterAnisotropyDiffusion Tensor ImagingHumansVisual PathwaysAD = axial diffusivityanterior visual pathwaysdiffusion tensor imagingDTI = diffusion tensor imagingFA = fractional anisotropyHRP = high-pass resolution perimetryMD = mean diffusivityOT = optic tractpituitary adenomapituitary surgeryquantitative diagnostics, diagnostic techniqueRD = radial diffusivityROI = region of interestSIPAP = suprasellar, infrasellar, parasellar, anterior, and posteriorVFD = visual field defectvisual impairment

Identifiers

PMID27885957
OpenAlexW2556098281

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.