Evidence map›Paper›PMID 36033538›Full record

ArticleFrontiers in oncology2022

Real-time fully automated dosimetric computation for CT images in the clinical workflow: A feasibility study.

Massimiliano Porzio, Choirul Anam

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Massimiliano PorzioDepartment of Fisica Sanitaria, Azienda Sanitaria Locale Cuneo1 (ASL CN1), Cuneo, Italy.
Choirul AnamDepartment of Physics, Faculty of Sciences and Mathematics, Diponegoro University, Semarang, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Currently, the volume computed tomography dose index (CTDI Purpose: This study aims to develop a software to compute Method: In total, 430 CT studies and scans of a water-filled funnel phantom were used to compute accuracy and evaluate the times required to compute the Results: The mean difference between the Conclusion: The system shows that it is possible to have highly accurate

Indexed as

automaticCTdosereal-timesoftwareSSDEwater-equivalent

Identifiers

PMID36033538
PMCPMC9403986

What OpenQuestion holds

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Registered trials

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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.