Evidence map›Paper›PMID 22988479›Full record

ArticleComputational and mathematical methods in medicine2012

Microdosimetry for targeted alpha therapy of cancer.

Chen-Yu Huang, Susanna Guatelli, Bradley M Oborn, Barry J Allen

Abstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Development of [EJNMMI radiopharmacy and chemistry · 2023
    Article
  6. Article
  7. Article
  8. Dosimetry in Clinical Radiopharmaceutical Therapy of Cancer: Practicality Versus Perfection in Current Practice.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Autoradiography imaging in targeted alpha therapy with Timepix detector.Computational and mathematical methods in medicine · 2015
    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

4 authors.

Chen-Yu HuangCentre for Experimental Radiation Oncology, St. George Clinical School, University of New South Wales, Kogarah, NSW 2217, Australia. cyhuangsysu@gmail.com
Susanna Guatelli
Bradley M Oborn
Barry J Allen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted alpha therapy (TAT) has the advantage of delivering therapeutic doses to individual cancer cells while reducing the dose to normal tissues. TAT applications relate to hematologic malignancies and now extend to solid tumors. Results from several clinical trials have shown efficacy with limited toxicity. However, the dosimetry for the labeled alpha particle is challenging because of the heterogeneous antigen expression among cancer cells and the nature of short-range, high-LET alpha radiation. This paper demonstrates that it is inappropriate to investigate the therapeutic efficacy of TAT by macrodosimetry. The objective of this work is to review the microdosimetry of TAT as a function of the cell geometry, source-target configuration, cell sensitivity, and biological factors. A detailed knowledge of each of these parameters is required for accurate microdosimetric calculations.

Indexed as

Alpha ParticlesAnimalsCell NucleusComputer SimulationDNA DamageDNA RepairHumansHypoxiaKineticsMonte Carlo MethodNeoplasmsRadioisotopesRadiometryRadiotherapyRadiotherapy Planning, Computer-AssistedReproducibility of ResultsRadioisotopes

Identifiers

PMID22988479
PMCPMC3439982

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.