Evidence map›Paper›PMID 28461279›Full record

SynthesisWorld neurosurgery2017

Metabolic In Vivo Visualization of Pituitary Adenomas: a Systematic Review of Imaging Modalities.

Amy Yao, Priti Balchandani, Raj K Shrivastava

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in World neurosurgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Optoacoustic imaging in endocrinology and metabolism.Nature reviews. Endocrinology · 2021
    Review
  5. Review
  6. Article
  7. Review
  8. Ex VivoScientific reports · 2019
    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

3 authors at 1 institution in 1 country.

Amy YaoDepartment of Neurosurgery, Icahn School of Medicine at Mount Sinai, Mount Sinai Health System, New York, New York, USA.
Priti BalchandaniTranslational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, Mount Sinai Health System, New York, New York, USA.
Raj K ShrivastavaDepartment of Neurosurgery, Icahn School of Medicine at Mount Sinai, Mount Sinai Health System, New York, New York, USA. Electronic address: raj.shrivastava@mountsinai.org.
Mount Sinai Health System · US

Funding

7T Neurosurgical Mapping Protocol for Endoscopic Resection of Skull Base TumorsR01CA202911 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BALCHANDANI, PRITI · 2016 to 2020
$2.1M
NCI NIH HHS R01 CA202911
6 · The paper itself

Abstract

objectivePituitary adenomas (PAs) are the most common intrasellar mass. Functional PAs constitute most of pituitary tumors and can produce symptoms related to hormonal overproduction. Timely and accurate detection is therefore of vital importance to prevent potentially irreversible sequelae. Magnetic resonance imaging is the gold standard for detecting PAs, but is limited by poor sensitivity for microadenomas and an inability to differentiate scar tissue from tumor residual or predict treatment response. Several new modalities that detect PAs have been proposed.

methodsA systematic review of the PubMed database was performed for imaging studies of PAs since its inception. Data concerning study characteristics, clinical symptoms, imaging modalities, and diagnostic accuracy were collected.

resultsAfter applying exclusion criteria, 25 studies of imaging PAs using positron emission tomography (PET), magnetic resonance spectroscopy (MRS), and single photon emission computed tomography were reviewed. PET reliably detects PAs, particularly where magnetic resonance imaging is equivocal, although its efficacy is limited by high cost and low availability. Single photon emission computed tomography possesses good sensitivity for neuroendocrine tumors but its use with PAs is poorly documented. MRS consistently detects cellular proliferation and hormonal activity, but warrants further study at higher magnetic field strength.

conclusionsPET and MRS appear to have the strongest predictive value in detecting PAs. MRS has the advantage of low cost, but the literature is lacking in specific studies of the pituitary. Due to high recurrence rates of functional PAs and low sensitivity of existing diagnostic workups, further investigation of metabolic imaging is necessary.

Indexed as

AdenomaHormones, EctopicHumansImaging, Three-DimensionalMagnetic Resonance ImagingMagnetic Resonance SpectroscopyNeuroimagingPituitary HormonesPituitary NeoplasmsPositron-Emission TomographySensitivity and SpecificityTomography, Emission-Computed, Single-PhotonTomography, X-Ray ComputedHormones, EctopicPituitary HormonesFunctional pituitary adenomaHormonally active pituitary adenomaMagnetic resonance spectroscopyMetabolic imagingPositron emission tomographySingle photon emission computed tomography

Identifiers

PMID28461279
PMCPMC5821230
OpenAlexW2609291771

What OpenQuestion holds

Textmetadata
LicenceTDM
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.