Evidence map›Paper›PMID 42029672›Full record

ReviewThe Journal of clinical endocrinology and metabolism2026

Pituitary adenoma imaging as a determinant of acromegaly diagnosis and outcomes.

Linus Haberbosch, James MacFarlane, Daniel Gillett, Sophie Howarth, Jonathan Jones, Heok Cheow, Vanessa Hubertus, Güliz Acker, Leontine Bakker, Marco Verstegen and 5 more

Abstract readReview
In one paragraph

Review in The Journal of clinical endocrinology and metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Linus HaberboschCambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK.ORCID 0000-0002-4464-0427
James MacFarlaneCambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK.ORCID 0000-0001-6937-2775
Daniel GillettCambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK.
Sophie HowarthCambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK.
Jonathan JonesDepartment of Radiology, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK.
Heok CheowDepartment of Nuclear Medicine, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK.
Vanessa HubertusDepartment of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany.
Güliz AckerDepartment of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany.
Leontine BakkerDepartment of Endocrinology, Leiden University Medical Centre, Leiden 2333 ZA, The Netherlands.
Marco VerstegenDepartment of Neurosurgery, Leiden University Medical Centre, Leiden 2333 ZA, The Netherlands.
Lenka Pereira Arias-BoudaDepartment of Radiology & Nuclear Medicine, Leiden University Medical Centre, Leiden 2333 ZA, The Netherlands.ORCID 0000-0002-6879-5554
Nienke BiermaszBIH Biomedical Innovation Academy, BIH Charité Clinician Scientist Program, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin 10117, Germany.
Michael BuchfelderDepartment of Neurosurgery, University of Erlangen-Nürnberg, Erlangen 91054, Germany.
Christian J StrasburgerCharité - Universitätsmedizin Berlin, Department of Endocrinology and Metabolism, European Reference Network on Rare Endocrine Conditions (Endo-ERN), Berlin 10117, Germany.ORCID 0000-0001-7905-7357
Mark GurnellCambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Institute of Metabolic Science, University of Cambridge, and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK.ORCID 0000-0001-5745-6832

Funding

Cambridge Biomedical Research Centre NIHR203312NIHR
6 · The paper itself

Abstract

In the majority (>95%) of patients with acromegaly, the underlying cause is a somatotroph adenoma. Pituitary-targeted surgery and radiotherapy can achieve long-term disease control but carry a significant adverse risk to the remaining normal gland, especially if undertaken outside a Pituitary Tumor Center of Excellence or when repeat surgery is performed. Maximizing benefits and minimizing the risks of pituitary surgery and radiotherapy is critically dependent on high-quality imaging that allows accurate localization of site(s) of either de novo, residual, or recurrent disease. Macroadenomas continue to predominate among somatotroph tumors (70%), but more widespread use of intracranial imaging leads to earlier detection of smaller adenomas, posing new challenges for imaging diagnostics. Despite several comprehensive guidelines on the management of acromegaly, there is little consensus regarding optimal imaging, and current scanning protocols remain heterogeneous. This serves as a barrier to optimal patient management and constrains comparison between centers, with inevitable consequences for research within the field. Here, based on a comprehensive review of previous studies and focusing on recent advances in magnetic resonance and molecular (functional) imaging techniques, we propose a standardized, tiered approach to pituitary imaging in patients with acromegaly, guided by individual patient features and tailored to the anticipated therapeutic approach. An online tool, which can be adapted to the clinical context, is provided as an aid to decision-making.

Indexed as

AcromegalyAdenomaGrowth Hormone-Secreting Pituitary AdenomaPituitary NeoplasmsHumansMagnetic Resonance ImagingTreatment Outcomeacromegalymagnetic resonance imagingmolecular imagingpositron emission tomography

Identifiers

PMID42029672
PMCPMC13235288

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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.