Evidence map›Paper›PMID 40056182›Full record

ReviewNeuroradiology2025

Review of 7T MRI imaging of pituitary microadenomas: are we there yet?

Benoit Testud, Aurélien Destruel, Thomas Troalen, Jean-Philippe Ranjeva, Maxime Guye

Abstract readReview
PubMed Publisher
In one paragraph

Review in Neuroradiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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. Functional pituitary adenoma imaging.Reviews in endocrine & metabolic disorders · 2026
    Review
  2. Review
  3. Acromegaly diagnosis.The Journal of clinical endocrinology and metabolism · 2026
    Review
  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

5 authors.

Benoit TestudAix-Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France. benoit.testud@ap-hm.fr.ORCID http://orcid.org/0000-0003-1444-3702
Aurélien DestruelAix-Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France.
Thomas TroalenSiemens Healthcare SAS, Courbevoie, France.
Jean-Philippe RanjevaAix-Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France.
Maxime GuyeAix-Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France.

Funding

AMX-19IET-004 AMX-19IET-004ANR-11-INBS-0006 ANR-11-INBS-0006
6 · The paper itself

Abstract

purpose7T MRI imaging of the pituitary gland is an emerging technique. The purpose of this article is to review the current status of the 7T MRI of the pituitary gland, particularly in the context of pituitary microadenoma pathology. We will discuss technical challenges and parallel transmission opportunities.

methodsFollow-up study selection and data extraction were performed following PRISMA guidelines. We focused on diagnostic performance and acquisition protocols. Inclusion criteria were: MRI imaging studies of pituitary adenoma at 7T. Exclusion criteria were: Case reports and reviews; studies which did not report MRI protocols; surgical planning studies; studies focusing exclusively on macroadenomas for which ultra-high magnetic field imaging is less decisive than microadenomas in clinical practice.

resultsSix studies were included. 7T MRI outperformed 1.5 or 3T MRI for the detection of microadenomas. Acquisition protocols employed were heterogeneous, with two-dimensional T

conclusion7T MRI is a promising tool for overcoming the difficulties encountered by conventional MRI, particularly in the case of Cushing disease. However, there is insufficient data to precisely define an optimal protocol yet.

Indexed as

AdenomaMagnetic Resonance ImagingPituitary NeoplasmsHumans7T MRICushing’s disease: microadenomasParallel transmitPituitary gland

Identifiers

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.