Evidence map›Paper›PMID 16491425›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2006

Comparison of 111In-DOTA-DPhe1-Tyr3-octreotide and 111In-DOTA-lanreotide scintigraphy and dosimetry in patients with neuroendocrine tumours.

Margarida Rodrigues, Tatjana Traub-Weidinger, Shuren Li, Bettina Ibi, Irene Virgolini

Abstract readComparative StudyControlled Clinical Trial
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Guideline
  2. Specific Targeting of Somatostatin Receptor Subtype-2 for Fluorescence-Guided Surgery.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
    Article
  3. Review
  4. Somatostatin receptor PET ligands - the next generation for clinical practice.American journal of nuclear medicine and molecular imaging · 2018
    Review
  5. A Modular Dual-Labeling Scaffold That Retains Agonistic Properties for Somatostatin Receptor Targeting.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2017
    Article
  6. Patient-specific dosimetry ofEJNMMI physics · 2017
    Article
  7. Cardiothoracic manifestations of neuroendocrine tumours.The British journal of radiology · 2016
    Review
  8. Pulmonary Large-Cell Neuroendocrine Carcinoma: From Epidemiology to Therapy.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2015
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. 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

5 authors at 3 institutions in 1 country.

Margarida RodriguesInstitute of Nuclear Medicine, Lainz Hospital, Vienna, Austria. rodriguesradischat@hotmail.com
Tatjana Traub-Weidinger
Shuren Li
Bettina Ibi
Irene Virgolini
Klinik Hietzing · ATVienna General Hospital · ATUniversity Clinic of Traumatology · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSomatostatin receptor scintigraphy with (111)In-DOTA-D: Phe(1)-Tyr(3)-octreotide ((111)In-DOTA-TOC) and (111)In-DOTA-lanreotide ((111)In-DOTA-LAN) has been used for staging of neuroendocrine tumours (NETs). However, the comparative diagnostic value of these radioligands on a lesion basis has not yet been established. The aim of this study was to compare the diagnostic capacity of (111)In-DOTA-TOC and (111)In-DOTA-LAN scintigraphy in patients with NETs, evaluating whether significant differences exist in lesion imaging with these radioligands. Furthermore, dosimetric data were compared.

methodsForty-five patients with NETs were investigated with (111)In-DOTA-TOC and (111)In-DOTA-LAN scintigraphy. Scintigraphic results were compared with those of conventional imaging and/or surgery in each patient, and also (18)F-fluorodeoxyglucose positron emission tomography (FDG-PET) in 20 patients.

results(111)In-DOTA-TOC and (111)In-DOTA-LAN scintigraphy were true positive in 42/45 (93%) and 39/45 (87%) patients, and imaged 74/91 (81%) and 73/91 (80%) tumour lesions, respectively. (111)In-DOTA-TOC and (111)In-DOTA-LAN detected liver metastases in 21 and 14 patients, mediastinal metastases in seven and 11 patients, and bone metastases in two and seven patients, respectively. These radioligands revealed lesions not seen by conventional imaging in seven and eight patients, respectively, or by (18)F-FDG-PET in eight and seven patients, respectively. The estimated tumour absorbed doses for (90)Y-DOTA-TOC were higher than those for (90)Y-DOTA-LAN in 14 patients, whereas the opposite was true in 12 patients.

conclusionBoth (111)In-DOTA-TOC and (111)In-DOTA-LAN are suitable for imaging tumour lesions in patients with NETs and can detect lesions that may not be seen by conventional imaging and (18)F-FDG-PET. Compared with (111)In-DOTA-LAN, (111)In-DOTA-TOC has a superior diagnostic capacity for liver metastases, but a lower diagnostic capacity for metastatic lesions in mediastinum and bone.

Indexed as

Heterocyclic CompoundsPeptides, CyclicAdultAgedHumansMaleMiddle AgedNeuroendocrine TumorsOctreotideRadiopharmaceuticalsReproducibility of ResultsSensitivity and SpecificityTomography, Emission-Computed, Single-PhotonWhole-Body Counting111In-DOTA-TOCHeterocyclic Compoundsindium 111-DOTA-lanreotideOctreotidePeptides, CyclicRadiopharmaceuticals

Identifiers

PMID16491425
OpenAlexW2049016931

What OpenQuestion holds

Textmetadata
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.