Evidence map›Paper›PMID 39590941›Full record

ArticleTomography (Ann Arbor, Mich.)2024

Conference Report: Review of Clinical Implementation of Advanced Quantitative Imaging Techniques for Personalized Radiotherapy.

Yevgeniy Vinogradskiy, Houda Bahig, Nicholas W Bucknell, Jeffrey Buchsbaum, Hui-Kuo George Shu

Abstract readConference Proceedings
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Yevgeniy VinogradskiyDepartment of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Houda BahigDepartment of Radiology, Radiation Oncology and Nuclear Medicine, Centre Hospitalier de l'Universite de Montreal (CHUM), Montreal, QC H2X 3E4, Canada.
Nicholas W BucknellSir Charles Gairdner Hospital, Nedlands 6009, Australia.
Jeffrey BuchsbaumNational Cancer Institute, Bethesda, MD 20892, USA.
Hui-Kuo George ShuDepartment of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, GA 19104, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The topic of quantitative imaging in radiation therapy was presented as a "Masterclass" at the 2023 annual meeting of the American Society of Radiation Oncology (ASTRO). Dual-energy computed tomography (CT) and single-positron computed tomography were reviewed in detail as the first portion of the meeting session, with data showing utility in many aspects of radiation oncology including treatment planning and dose response. Positron emission tomography/CT scans evaluating the functional volume of lung tissue so as to provide optimal avoidance of healthy lungs were presented second. Advanced brain imaging was then discussed in the context of different forms of magnetic resonance scanning methods as the third area noted with significant discussion of ongoing research programs. Quantitative image analysis was presented to provide clinical utility for the analysis of patients with head and neck cancer. Finally, quality assurance was reviewed for different forms of quantitative imaging given the critical nature of imaging when numerical valuation, not just relative contrast, plays a crucial role in clinical process and decision-making. Conclusions and thoughts are shared in the conclusion, noting strong data supporting the use of quantitative imaging in radiation therapy going forward and that more studies are needed to move the field forward.

Indexed as

Precision MedicineHead and Neck NeoplasmsHumansMagnetic Resonance ImagingNeoplasmsPositron Emission Tomography Computed TomographyRadiation OncologyRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedTomography, X-Ray Computeddual energyimage-guided radiation therapy response-basedmagnetic spectroscopyquantitative imaging

Identifiers

PMID39590941
PMCPMC11598114

What OpenQuestion holds

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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.