Evidence map›Paper›PMID 35907097›Full record

ArticleEJNMMI physics2022

Towards personalised dosimetry in patients with liver malignancy treated with

Yaser H Gholami, Kathy P Willowson, Dale L Bailey

Open access · goldAbstract read
In one paragraph

Article in EJNMMI physics, 2022. 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
1.0field-weighted citation impact, top 26% 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, 8 citations in OpenAlex.

  1. Review
  2. Framework to calculateMedical physics · 2025
    Article
  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

3 authors at 2 institutions in 1 country.

Yaser H GholamiFaculty of Medicine and Health, The University of Sydney, Sydney, Australia. yaser.gholami@sydney.edu.au.ORCID http://orcid.org/0000-0002-7161-9367
Kathy P WillowsonDepartment of Nuclear Medicine, Royal North Shore Hospital, Sydney, Australia.
Dale L BaileyFaculty of Medicine and Health, The University of Sydney, Sydney, Australia. dale.bailey@sydney.edu.au.ORCID http://orcid.org/0000-0001-9154-7957
The University of Sydney · AURoyal North Shore Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prediction of response is one of the major challenges in radiation-based therapies. Although the selection of accurate linear-quadratic model parameters is essential for the estimation of radiation response and treatment outcome, there is a limited knowledge about these radiobiological parameters for liver tumours using radionuclide treatments.

methodsThe "clinical radiobiological" parameters ([Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text]) for twenty-five patients were derived using the generalised linear-quadratic model, the diagnostic ([

resultsIt was estimated that the values for [Formula: see text] and [Formula: see text] parameters range in ≈ 0.001-1 Gy

conclusionsTumours with shorter [Formula: see text] have shown a shorter [Formula: see text] and thus poorer TCP and [Formula: see text]. Therefore, these results suggest for such tumours the [

Indexed as

90YDoseRadioembolisationResponseSIRT

Identifiers

PMID35907097
PMCPMC9339072
OpenAlexW4288748754

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.