Evidence map›Paper›PMID 39563782›Full record

ArticlePhysics and imaging in radiation oncology2024

Integrated framework for quantitative T2-weighted MRI analysis following prostate cancer radiotherapy.

Evangelia I Zacharaki, Adrian L Breto, Ahmad Algohary, Veronica Wallaengen, Sandra M Gaston, Sanoj Punnen, Patricia Castillo, Pradip M Pattany, Oleksandr N Kryvenko, Benjamin Spieler and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Physics and imaging in radiation oncology, 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

Evangelia I ZacharakiDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
Adrian L BretoDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
Ahmad AlgoharyDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
Veronica WallaengenDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
Sandra M GastonDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
Sanoj PunnenDesai Sethi Urology Institute, University of Miami Miller School of Medicine, Miami, FL, USA.
Patricia CastilloDepartment of Pathology and Laboratory Medicine, University of Miami Miller School of Medicine, Miami, FL, USA.
Pradip M PattanyDepartment of Pathology and Laboratory Medicine, University of Miami Miller School of Medicine, Miami, FL, USA.
Oleksandr N KryvenkoDepartment of Radiology, University of Miami Miller School of Medicine, Miami, FL, USA.
Benjamin SpielerDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
John C FordDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
Matthew C AbramowitzDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
Alan Dal PraDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
Alan PollackDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.
Radka StoyanovaDepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, USA.

Funding

UM Calabresi Clinical Oncology Research Career Development AwardK12CA226330 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Alan Pollack · 2018 to 2026
$5.1M
MRI Imaging and Biomarkers for Early Detection of Aggressive Prostate CancerU01CA239141 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI POLLACK, ALAN, PUNNEN, SANOJ · 2019 to 2023
$3.0M
NCI NIH HHS K12 CA226330NCI NIH HHS U01 CA239141
6 · The paper itself

Abstract

Purpose: The aim of this study is to develop a framework for quantitative analysis of longitudinal T2-weighted MRIs (T2w) following radiotherapy (RT) for prostate cancer. Materials and methods: The developed methodology includes: Results: T2w from 107 MRI exams (23 patients) were utilized. Following Conclusions: The developed methodology allows to automate longitudinal analysis reducing data acquisition-related variation and improving consistency. The quantitative characterization of RT-induced changes in T2w will lead to new understanding of radiation effects enabling prediction modeling of RT response.

Indexed as

HarmonizationImage registrationIntensity normalizationProstate cancerQuantitative imagingRadiotherapyT2-weighted MRI

Identifiers

PMID39563782
PMCPMC11574798

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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.