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Record W4415452061 · doi:10.1210/jendso/bvaf149.366

SAT-503 False-Positive 68Ga-DOTATATE PET Findings In The Evaluation Of Pheochromocytomas And Paragangliomas: A Case Series

2025· article· en· W4415452061 on OpenAlexaff
Sandrine Leblanc-Savignac, Christian Cohade, Frédéric Mercier, Harold J. Olney, Isabelle Bourdeau

Bibliographic record

VenueJournal of the Endocrine Society · 2025
Typearticle
Languageen
FieldMedicine
TopicAdrenal and Paraganglionic Tumors
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMetanephrinePheochromocytomaMetanephrinesChromogranin ANormetanephrineNodule (geology)Lymph nodeHemangioma

Abstract

fetched live from OpenAlex

Abstract Disclosure: S. Leblanc-Savignac: None. C. Cohade: None. F. Mercier: None. H. Olney: None. I. Bourdeau: None. Background: Functional imaging of pheochromocytomas and paragangliomas (PPGLs) using 68Ga-DOTATATE PET has shown high sensibility and specificity. However, we present three cases of suspected PPGLs that turned out to be false positives on DOTATATE PET. Clinical Cases Case 1: A 22-year-old woman known for type 1 neurofibromatosis (17q11.2 deletion) referred for a dense (100 HU), hyperintense, 43 x 31 mm, para-aortic mass found on screening MRI. She presented with occasional headaches and palpitations. DOTATATE-PET showed a left para-aortic mass with moderate uptake (SUV max 9.7). Biochemical testing was normal. With NF1 predisposing to PPGLs, typical para-aortic localization and radiological characteristics, a non-secreting PGL was suspected. The patient underwent surgery, and final pathology came back as: lymph node with histological changes compatible with Castleman disease. Case 2: A 60-year-old male known for metabolic syndrome was found with a 19 x 18 mm hyperdense heterogeneous nodule (150 HU) in the hepatorenal space on a thoracic CT scan. He presented with hot flashes and long-standing anxiety. DOTATATE PET showed strong uptake (SUV max 15.1), suggestive for PGL. Plasma free metanephrine levels were normal. Chromogranin A was slightly elevated at 106,9 ng/ml (N <82 ng/ml). Urine sampling revealed a slight increase of norepinephrine 536 nmol/d (N <475 nmol/d) and dopamine 3200 nmol/d (N <2300 nmol/d). The patient underwent surgery after alpha-blockade. Histological examination revealed a benign tumor corresponding to a hemangioma. Interestingly, exome sequencing of the hemangioma showed a pathogenic variant in the EGLN2 gene c.C1142G, p.A381G, a gene in the hypoxia induced factor 2 family associated with PPGLs and polycythemia, described for the first time in a hemangioma. Case 3: A 54-year-old man was diagnosed in 2016 with metastatic pheochromocytoma for which he underwent left adrenalectomy and nephrectomy, liver thermal ablation and radiotherapy on bone metastasis. He returned in 2023 with a lesion on the left cheek, insomnia and hypertension. DOTATATE-PET showed a 2.0 x 2.4 cm lesion in the left cheek with intense uptake (SUV max 7.1), suspicious for PPGL recurrence. Biochemical testing was normal except for elevated chromogranin A at 153,7 ng/ml (N<104 ng/ml). The patient underwent surgery after alpha-blockade. Pathology returned as high-grade B lymphoproliferative syndrome and chemotherapy was begun. Adding to the 3 presented cases, literature review showed 4 other cases of false positives with 68Ga-DOTATATE for PPGLs with the diagnoses of: solid cancer metastasis (2), focal lesion of fibrous dysplasia (1) and Castleman disease (1). Conclusion: False positive results with 68Ga-DOTATATE PET in the evaluation of PPGLs are rare but possible. A good understanding of their potential causes is essential to improve diagnostic accuracy, particularly in non-secreting tumors. Presentation: Saturday, July 12, 2025

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.003
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0050.002
Insufficient payload (model declined to judge)0.0030.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.325
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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