Evidence map›Paper›PMID 38138870›Full record

ArticleJournal of personalized medicine2023

Computed Tomography-Based Radiomics for Long-Term Prognostication of High-Risk Localized Prostate Cancer Patients Received Whole Pelvic Radiotherapy.

Vincent W S Leung, Curtise K C Ng, Sai-Kit Lam, Po-Tsz Wong, Ka-Yan Ng, Cheuk-Hong Tam, Tsz-Ching Lee, Kin-Chun Chow, Yan-Kate Chow, Victor C W Tam and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of personalized medicine, 2023. 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
1.8field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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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

14 authors at 3 institutions in 3 countries.

Vincent W S LeungDepartment of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.ORCID 0000-0001-6150-0920
Curtise K C NgCurtin Medical School, Curtin University, GPO Box U1987, Perth, WA 6845, Australia.ORCID 0000-0002-5849-5857
Sai-Kit LamDepartment of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Po-Tsz WongDepartment of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Ka-Yan NgDepartment of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Cheuk-Hong TamDepartment of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Tsz-Ching LeeDepartment of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Kin-Chun ChowDepartment of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Yan-Kate ChowDepartment of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Victor C W TamDepartment of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Shara W Y LeeDepartment of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.ORCID 0000-0001-5257-2076
Fiona M Y LimDepartment of Oncology, Princess Margaret Hospital, Hong Kong SAR, China.
Jackie Q WuDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC 27708, USA.
Jing CaiDepartment of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.ORCID 0000-0001-6934-0108
Hong Kong Polytechnic University · HKCurtin University · AUDuke Medical Center · US

Funding

Health and medical Research Fund Research Fellowship Scheme 06200137The Hong Kong Polytechnic University Project of Strategic Importance Fund 2021 P0035421
6 · The paper itself

Abstract

Given the high death rate caused by high-risk prostate cancer (PCa) (>40%) and the reliability issues associated with traditional prognostic markers, the purpose of this study is to investigate planning computed tomography (pCT)-based radiomics for the long-term prognostication of high-risk localized PCa patients who received whole pelvic radiotherapy (WPRT). This is a retrospective study with methods based on best practice procedures for radiomics research. Sixty-four patients were selected and randomly assigned to training (

Indexed as

artificial intelligencebiomarkermachine learningmalignancymedical imagingprognosisprogression-free survivalradiation therapyrecurrencetumor

Identifiers

PMID38138870
PMCPMC10744672
OpenAlexW4388969181

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.