Evidence map›Paper›PMID 27869719›Full record

ReviewDiagnostics (Basel, Switzerland)2016

Targeted Molecular Imaging in Adrenal Disease-An Emerging Role for Metomidate PET-CT.

Iosif A Mendichovszky, Andrew S Powlson, Roido Manavaki, Franklin I Aigbirhio, Heok Cheow, John R Buscombe, Mark Gurnell, Fiona J Gilbert

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 32 citations in OpenAlex.

  1. EJNMMI research · 2025
    Article
  2. A comparison of the performance ofFrontiers in endocrinology · 2024
    Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. High Prevalence of Adrenal Remnant Tissue in Patients Undergoing Bilateral Adrenalectomy for Cushing's Disease.Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme · 2021
    Article
  8. Article
  9. Imaging CXCR4 expression in patients with suspected primary hyperaldosteronism.European journal of nuclear medicine and molecular imaging · 2020
    Article
  10. Review
  11. Development of [Nuclear medicine and biology
    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

8 authors at 2 institutions in 1 country.

Iosif A MendichovszkyDepartment of Radiology, University of Cambridge and NIHR Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK. im391@cam.ac.uk.
Andrew S PowlsonMetabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge and NIHR Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK. asp22@medschl.cam.ac.uk.
Roido ManavakiDepartment of Radiology, University of Cambridge and NIHR Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK. rm617@cam.ac.uk.
Franklin I AigbirhioWolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 1TN, UK. fia20@medschl.cam.ac.uk.
Heok CheowDepartment of Radiology, University of Cambridge School of Clinical Medicine, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK. heok.cheow@addenbrookes.nhs.uk.
John R BuscombeDepartment of Nuclear Medicine, Cambridge University Hospitals, Cambridge CB2 0QQ, UK. john.buscombe@addenbrookes.nhs.uk.
Mark GurnellMetabolic Research Laboratories, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge and NIHR Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK. mg299@medschl.cam.ac.uk.
Fiona J GilbertDepartment of Radiology, University of Cambridge and NIHR Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK. fjg28@medschl.cam.ac.uk.
University of Cambridge · GBCambridge University Hospitals NHS Foundation Trust · GB

Funding

Medical Research Council MR/M009041/1Medical Research Council MR/M024873/1
6 · The paper itself

Abstract

Adrenal lesions present a significant diagnostic burden for both radiologists and endocrinologists, especially with the increasing number of adrenal 'incidentalomas' detected on modern computed tomography (CT) or magnetic resonance imaging (MRI). A key objective is the reliable distinction of benign disease from either primary adrenal malignancy (e.g., adrenocortical carcinoma or malignant forms of pheochromocytoma/paraganglioma (PPGL)) or metastases (e.g., bronchial, renal). Benign lesions may still be associated with adverse sequelae through autonomous hormone hypersecretion (e.g., primary aldosteronism, Cushing's syndrome, phaeochromocytoma). Here, identifying a causative lesion, or lateralising the disease to a single adrenal gland, is key to effective management, as unilateral adrenalectomy may offer the potential for curing conditions that are typically associated with significant excess morbidity and mortality. This review considers the evolving role of positron emission tomography (PET) imaging in addressing the limitations of traditional cross-sectional imaging and adjunctive techniques, such as venous sampling, in the management of adrenal disorders. We review the development of targeted molecular imaging to the adrenocortical enzymes CYP11B1 and CYP11B2 with different radiolabeled metomidate compounds. Particular consideration is given to iodo-metomidate PET tracers for the diagnosis and management of adrenocortical carcinoma, and the increasingly recognized utility of

Indexed as

adrenaladrenocortical carcinomametomidatenuclear medicineprimary aldosteronism

Identifiers

PMID27869719
PMCPMC5192517
OpenAlexW2555692138

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.