Evidence map›Paper›PMID 38006494›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2024

Methods for the Production of Radiolabeled Bioagents for ImmunoPET.

Alejandro Arroyo, Serge K Lyashchenko, Jason S Lewis

Open access · greenAbstract readReview
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Targeting Extra Domain A of Fibronectin to Improve Noninvasive Detection of Triple-Negative Breast Cancer.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
    Article
  2. Review
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 at 1 institution in 1 country.

Alejandro ArroyoDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Serge K LyashchenkoDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Jason S LewisDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. lewisj2@mskcc.org.
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Leveraging Pb-203/212 for the Theranostic Imaging and Therapy of Prostate CancerR35CA232130 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI LEWIS, JASON S. · 2019 to 2025
$8.2M
NCI NIH HHS P30 CA008748NCI NIH HHS R35 CA232130
6 · The paper itself

Abstract

Immunoglobulin-based positron emission tomography (ImmunoPET) is making increasingly significant contributions to the nuclear imaging toolbox. The exquisite specificity of antibodies combined with the high-resolution imaging of PET enables clinicians and researchers to localize diseases, especially cancer, with a high degree of spatial certainty. This review focuses on the radiopharmaceutical preparation necessary to obtain those images-the work behind the scenes, which occurs even before the patient or animal is injected with the radioimmunoconjugate. The focus of this methods review will be the chelation of four radioisotopes to their most common and clinically relevant chelators.

Indexed as

NeoplasmsPositron-Emission TomographyAnimalsAntibodiesChelating AgentsHumansRadioisotopesRadiopharmaceuticalsZirconiumAntibodiesChelating AgentsRadioisotopesRadiopharmaceuticalsZirconium124I64Cu86Y89Zrantibody radiolabelingchelatorImmunoPETradioimmunoconjugate

Identifiers

PMID38006494
PMCPMC11330323
OpenAlexW4388998120

What OpenQuestion holds

Textmetadata
LicenceTDM
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.