Evidence map›Paper›PMID 42553053›Full record

ArticleFrontiers in endocrinology2026

An FDG-first functional imaging approach in phaeochromocytoma and paraganglioma.

Norah Alhazzaa, Mohammad M R Eddama, Fawziah Alorfi, Teng Teng Chung, Helen Simpson, Srirangalingam Umasuthan, Steve Hurel, Virginia Rozalen-Garcia, Tom Kurzawinski, Simon Wan and 3 more

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Article in Frontiers in endocrinology, 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

13 authors.

Norah AlhazzaaDepartment of Targeted Intervention, Division of Surgery and Interventional Science, University College London, London, United Kingdom.
Mohammad M R EddamaDepartment of Targeted Intervention, Division of Surgery and Interventional Science, University College London, London, United Kingdom.
Fawziah AlorfiDepartment of Targeted Intervention, Division of Surgery and Interventional Science, University College London, London, United Kingdom.
Teng Teng ChungDepartment of Targeted Intervention, Division of Surgery and Interventional Science, University College London, London, United Kingdom.
Helen SimpsonDepartment of Targeted Intervention, Division of Surgery and Interventional Science, University College London, London, United Kingdom.
Srirangalingam UmasuthanDepartment of Targeted Intervention, Division of Surgery and Interventional Science, University College London, London, United Kingdom.
Steve HurelDepartment of Targeted Intervention, Division of Surgery and Interventional Science, University College London, London, United Kingdom.
Virginia Rozalen-GarciaDepartment of Targeted Intervention, Division of Surgery and Interventional Science, University College London, London, United Kingdom.
Tom KurzawinskiDepartment of Targeted Intervention, Division of Surgery and Interventional Science, University College London, London, United Kingdom.
Simon WanDepartment of Targeted Intervention, Division of Surgery and Interventional Science, University College London, London, United Kingdom.
Jamshed BomanjiDepartment of Targeted Intervention, Division of Surgery and Interventional Science, University College London, London, United Kingdom.
Mark GazeDepartment of Targeted Intervention, Division of Surgery and Interventional Science, University College London, London, United Kingdom.
Tarek Ezzat Abdel-AzizDepartment of Targeted Intervention, Division of Surgery and Interventional Science, University College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Functional imaging is central to the diagnosis and management of phaeochromocytomas and paragangliomas (PPGLs). This study aimed to compare the diagnostic performance of different functional imaging modalities for the detection of primary and metastatic PPGL. Methods: We conducted a retrospective, cross-sectional comparative study at a tertiary referral centre (2012-2023). Seventy three patients were with diagnosed with PPGL; 38 who underwent triple functional imaging. These 38 patients underwent Results: Among the 38 patients who underwent triple functional imaging, 18 (47%) were women, with a median age of 41 years (range 11-81). There were 23 phaeochromocytomas and 15 paragangliomas. Overall detection rates were positive in 36/38 (94.7%) patients on FDG, 35/38 (92.1%) on Dotatate, and 34/38 (89.5%) on mIBG. Among patients with metastatic disease, lesion detection was observed in 16/16 (100%) with FDG, 12/13 (92.3%) with Dotatate, and 11/13 (84.6%) with mIBG. FDG SUV Conclusion: In this study, FDG demonstrated the highest per-patient detection and the strongest association with aggressive biochemical and genetic phenotypes. These findings support an FDG-first functional imaging strategy for diagnosis and staging in PPGL, with additional targeted imaging reserved for theranostic decision-making.

Indexed as

Adrenal Gland NeoplasmsFluorodeoxyglucose F18ParagangliomaPheochromocytomaPositron Emission Tomography Computed Tomography3-IodobenzylguanidineAdolescentAdultAgedAged, 80 and overChildCross-Sectional StudiesFemaleHumansMaleMiddle Aged3-IodobenzylguanidineFluorodeoxyglucose F18Organometallic CompoundsRadiopharmaceuticals18F-FDG PET CT/MRIcancerfunctional scansmetastasesparagangliomaphaeochromocytomaSDHB

Identifiers

PMID42553053
PMCPMC13433214

What Socratic 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 Socratic graph.