Evidence map›Paper›PMID 19618183›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2010

Detection of unknown primary neuroendocrine tumours (CUP-NET) using (68)Ga-DOTA-NOC receptor PET/CT.

Vikas Prasad, Valentina Ambrosini, Merten Hommann, Dieter Hoersch, Stefano Fanti, Richard P Baum

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01873248 (Impact of 68Ga-DOTATATE PET/CT on the Management of Neuroendocrine Tumors), which is not on this map. Cited by 89 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 2 pooled it
12.6field-weighted citation impact, top 1% 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.

NCT01873248 early_phase1completednot on this mapstarted 2013, after this paper: background citation

Impact of 68Ga-DOTATATE PET/CT on the Management of Neuroendocrine Tumors: The Referring Physician's Perspective

TypeinterventionalSponsorJonsson Comprehensive Cancer CenterRan2013 to 2017Enrolled100ConditionsNeuroendocrine TumorsArms68Ga-DOTATATE
3 · Its place in the literature

Who cites it

89 citing papers in PubMed, 2 syntheses or guidelines pooled it, 248 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Localization of Unknown Primary Site withJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2017
    Trial
  4. Trial
  5. Trial
  6. Trial
  7. Review
  8. Dual PET Imaging with [Current oncology (Toronto, Ont.) · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Observational
  13. Review
  14. Review
  15. Review
  16. LutatheraPharmaceutics · 2023
    Review
  17. Review
  18. Article
  19. Review
  20. Review

29 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 2 countries.

Vikas PrasadDepartment of Nuclear Medicine and Centre for PET/CT, Zentralklinik Bad Berka, Robert Koch Allee-9, 99437 Bad Berka, Germany. info@rpbaum.de
Valentina Ambrosini
Merten Hommann
Dieter Hoersch
Stefano Fanti
Richard P Baum
Zentralklinik Bad Berka · DEPoliclinico S.Orsola-Malpighi · ITUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis bi-centric study aimed to determine the role of receptor PET/CT using (68)Ga-DOTA-NOC in the detection of undiagnosed primary sites of neuroendocrine tumours (NETs) and to understand the molecular behaviour of the primarily undiagnosed tumours.

methodsOverall 59 patients (33 men and 26 women, age: 65 + or - 9 years) with documented NET and unknown primary were enrolled. PET/CT was performed after injection of approximately 100 MBq (46-260 MBq) of (68)Ga-DOTA-NOC. The maximum standardised uptake values (SUV(max)) were calculated and compared with SUV(max) in known pancreatic NET (pNET) and ileum/jejunum/duodenum (SI-NET). The results of PET/CT were also correlated with CT alone.

resultsIn 35 of 59 patients (59%), (68)Ga-DOTA-NOC PET/CT localised the site of the primary: ileum/jejunum (14), pancreas (16), rectum/colon (2), lungs (2) and paraganglioma (1). CT alone (on retrospective analyses) confirmed the findings in 12 of 59 patients (20%). The mean SUV(max) of identified previously unknown pNET and SI-NET were 18.6 + or - 9.8 (range: 7.8-34.8) and 9.1 + or - 6.0 (range: 4.2-27.8), respectively. SUV(max) in patients with previously known pNET and SI-NET were 26.1 + or - 14.5 (range: 8.7-42.4) and 11.3 + or - 3.7 (range: 5.6-17.9). The SUV(max) of the unknown pNET and SI-NET were significantly lower (p < 0.05) as compared to the ones with known primary tumour sites; 19% of the patients had high-grade and 81% low-grade NET. Based on (68)Ga-DOTA-NOC receptor PET/CT, 6 of 59 patients were operated and the primary was removed (4 pancreatic, 1 ileal and 1 rectal tumour) resulting in a management change in approximately 10% of the patients. In the remaining 29 patients, because of the far advanced stage of the disease (due to distant metastases), the primary tumours were not operated. Additional histopathological sampling was available from one patient with bronchial carcinoid (through bronchoscopy).

conclusionOur data indicate that (68)Ga-DOTA-NOC PET/CT is highly superior to (111)In-OctreoScan (39% detection rate for CUP according to the literature) and can play a major role in the management of patients with CUP-NET.

Indexed as

Organometallic CompoundsAgedFemaleHumansMaleNeoplasms, Unknown PrimaryNeuroendocrine TumorsPositron-Emission TomographyRadiopharmaceuticalsReproducibility of ResultsSensitivity and SpecificitySubtraction TechniqueTomography, X-Ray Computed68Ga-DOTANOCOrganometallic CompoundsRadiopharmaceuticals

Identifiers

PMID19618183
OpenAlexW1986293484

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.