Evidence map›Paper›PMID 39969019›Full record

ArticleJournal of applied clinical medical physics2025

Prospective workup for the estimation of conceptus dose in fluoroscopically guided procedures.

Emily L Marshall, Bryan Schwarz, Megan Glassell, Zheng Feng Lu, Choonsik Lee

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2025. 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. 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

5 authors.

Emily L MarshallDepartment of Radiology, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0001-7995-0671
Bryan SchwarzDepartment of Radiology, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0003-0367-5073
Megan GlassellDepartment of Radiology, University of Florida, Gainesville, Florida, USA.
Zheng Feng LuDepartment of Radiology, University of Chicago, Chicago, Illinois, USA.
Choonsik LeeNational Institutes of Health, National Cancer Institute, Bethesda, Maryland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo present a methodology for the estimation of conceptus dose prior to the completion of a medically required and justified interventional radiology or cardiology procedure. MATERIALS AND

methodsThe free of charge National Cancer Institute dosimetry system for Radiography and Fluoroscopy dose calculator tool was adopted to estimate organ absorbed doses through Monte Carlo radiation transport. A procedure was developed for required data collection ahead of the study for dose estimation. This information was used to build the input to the dose calculator tool. Data inclusion and assumption considerations were discussed for final report drafting and communications with the intended interventionalist.

resultsImplementation of this methodology has been used to support pre-procedural decision making for our institutions interventionalists. Pre-procedural conceptus dose estimates permitted an educated assessment of the risk-benefit of the potential radiation exposure to the patient and conceptus against the medical necessity of the procedure. It can also guide the real-time dose monitoring during the procedure when a maximum permissible cumulative air kerma (CAK) level is determined before the procedure.

conclusionA methodology for the estimation of conceptus dose prior to the completion of an interventional fluoroscopy procedure was developed. Due to the prospective nature of this dose estimation methodology, the model relies heavily on professional experience and, when available, quantitative metrics.

Indexed as

Phantoms, ImagingFluoroscopyHumansMonte Carlo MethodOrgans at RiskProspective StudiesRadiation DosageRadiometryconceptus dosedigital phantomsdosimetryfluoroscopyinterventional radiologyMonte Carlo modelingradiation riskteratogenic risk

Identifiers

PMID39969019
PMCPMC11969096

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