Evidence map›Paper›PMID 29687322›Full record

ArticleMolecular imaging and biology2018

Optimization of a Labeling and Kit Preparation Method for Ga-68 Labeled DOTATATE, Using Cation Exchange Resin Purified Ga-68 Eluates Obtained from a Tin Dioxide

Deidré Prince, Daniel Rossouw, Sietske Rubow

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Article in Molecular imaging and biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. ScalableWorld journal of nuclear medicine · 2026
    Article
  2. Article
  3. Good practices forEJNMMI radiopharmacy and chemistry · 2022
    Review
  4. Translating a radiolabeled imaging agent to the clinic.Advanced drug delivery reviews · 2022
    Review
  5. Article
  6. 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

3 authors.

Deidré PrinceRadionuclide Production Department, iThemba LABS, PO Box 722, Somerset West, 7129, South Africa. deidre@tlabs.ac.za.
Daniel RossouwRadionuclide Production Department, iThemba LABS, PO Box 722, Somerset West, 7129, South Africa.
Sietske RubowNuclear Medicine Division, Faculty of Medicine and Health Sciences, Stellenbosch University, PO Box 241, Cape Town, 8000, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to optimize a radiolabeling method using cationic processed Ga-68 eluates from a SnO PROCEDURES: Diluted generator eluates were adsorbed on a SCX resin and desorbed with acidified 5 M NaCl solution. Optimized labeling conditions were determined by variation of pH, using 35 μg DOTATATE and sodium acetate buffer. DOTATATE kits were developed based on optimized radiolabeling conditions, were labeled, and evaluated.

resultsOptimized labeling conditions resulted in a radiolabeling efficiency of around 99 % and radiochemical yield of almost 85 %. Different kit preparation methods did not significantly influence the radiolabeling results. Kits were found to be stable over 3 months.

conclusionA labeling method using SCX-processed Ga-68 eluates was optimized. DOTATATE kits specifically for these SCX-processed Ga-68 eluates were successfully formulated. A post-labeling Sep-Pak C18 purification should be optional.

Indexed as

Cation Exchange ResinsColloidsGallium RadioisotopesGermaniumHydrogen-Ion ConcentrationOrganometallic CompoundsPeptidesRadiochemistryRadioisotopesSodium AcetateTin CompoundsCation Exchange ResinsColloidsGallium-68gallium Ga 68 dotatateGallium RadioisotopesGermaniumGermanium-68Organometallic CompoundsPeptidesRadioisotopesSodium Acetatestannic oxideTin CompoundsCation exchange resinDOTATATEGa-68 eluateKitsRadiochemical yieldsRadiolabeling efficiencySnO2-based 68Ge/68Ga generator

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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 OpenQuestion graph.