Evidence map›Paper›PMID 34959471›Full record

ArticlePharmaceutics2021

Microdosimetric Investigation and a Novel Model of Radiosensitization in the Presence of Metallic Nanoparticles.

Huagang Yan, David J Carlson, Ramin Abolfath, Wu Liu

Open access · goldAbstract read
In one paragraph

Article in Pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Targeting the organelle for radiosensitization in cancer radiotherapy.Asian journal of pharmaceutical sciences · 2024
    Review
  3. 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 at 4 institutions in 2 countries.

Huagang YanSchool of Biomedical Engineering, Capital Medical University, Beijing 100069, China.
David J CarlsonDepartment of Radiation Oncology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Ramin AbolfathDepartment of Radiation Physics and Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 75031, USA.
Wu LiuDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0003-3058-2067
Capital Medical University · CNStanford University · USThe University of Texas MD Anderson Cancer Center · USUniversity of Pennsylvania · US

Funding

Tumor-targeted delivery and cell internalization of theranostic gadolinium nanoparticles for image-guided nanoparticle-enhanced radiation therapyR21EB026553 · NIBIB · STANFORD UNIVERSITY · PI PRATX, GUILLEM · 2019 to 2022
$594k
National Institute of Health EB026553NIBIB NIH HHS R21 EB026553
6 · The paper itself

Abstract

Auger cascades generated in high atomic number nanoparticles (NPs) following ionization were considered a potential mechanism for NP radiosensitization. In this work, we investigated the microdosimetric consequences of the Auger cascades using the theory of dual radiation action (TDRA), and we propose the novel Bomb model as a general framework for describing NP-related radiosensitization. When triggered by an ionization event, the Bomb model considers the NPs that are close to a radiation sensitive cellular target, generates dense secondary electrons and kills the cells according to a probability distribution, acting like a "bomb." TDRA plus a distance model were used as the theoretical basis for calculating the change in

Indexed as

AGuIXAuger electronmicrodosimetryMonte Carlo simulationnanoparticleproximity functionradiosensitizationrelative biological effectivenesstheory of dual radiation action

Identifiers

PMID34959471
PMCPMC8709133
OpenAlexW4200166283

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.