Evidence map›Paper›PMID 31930516›Full record

ArticleMedical physics2020

Low-dose megavoltage cone-beam computed tomography using a novel multi-layer imager (MLI).

Marios Myronakis, Pascal Huber, Mathias Lehmann, Rony Fueglistaller, Matthew Jacobson, Yue-Houng Hu, Paul Baturin, Adam Wang, Mengying Shi, Thomas Harris and 2 more

Abstract read
In one paragraph

Article in Medical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

12 authors.

Marios MyronakisDepartment of Radiation Oncology, Dana, Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, MA, 02115, USA.
Pascal HuberVarian Medical Systems, Baden, CH-5405, Switzerland.
Mathias LehmannVarian Medical Systems, Baden, CH-5405, Switzerland.
Rony FueglistallerVarian Medical Systems, Baden, CH-5405, Switzerland.
Matthew JacobsonDepartment of Radiation Oncology, Dana, Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, MA, 02115, USA.
Yue-Houng HuDepartment of Radiation Oncology, Dana, Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, MA, 02115, USA.
Paul BaturinVarian Medical Systems, Palo Alto, CA, 94304-1030, USA.
Adam WangVarian Medical Systems, Palo Alto, CA, 94304-1030, USA.
Mengying ShiDepartment of Radiation Oncology, Dana, Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, MA, 02115, USA.
Thomas HarrisDepartment of Radiation Oncology, Dana, Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, MA, 02115, USA.
Daniel MorfVarian Medical Systems, Baden, CH-5405, Switzerland.
Ross BerbecoDepartment of Radiation Oncology, Dana, Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, MA, 02115, USA.

Funding

A novel flat-panel detector for advanced on-board radiation therapy imagingR01CA188446 · NCI · DANA-FARBER CANCER INST · PI BERBECO, ROSS I., FUEGLISTALLER, RONY · 2014 to 2024
$7.2M
NCI NIH HHS R01 CA188446NCI NIH HHS R01CA188446
6 · The paper itself

Abstract

purposeThe feasibility of low-dose megavoltage cone-beam acquisition (MVCBCT) using a novel, high detective quantum efficiency (DQE) multi-layer imager (MLI) was investigated. The aim of this work was to reconstruct MVCBCT images using the MLI at different total dose levels, and assess Hounsfield Unit (HU) accuracy, noise and contrast-to-noise ratio (CNR) for low-dose megavoltage cone-beam acquisition.

methodsThe MLI has four stacked layers; each layer contains a combination of copper filter/converter, gadolinium oxysulfide (GOS) scintillator and a-Si detector array. In total, 720 projections of a CATPHAN

resultsAverage HU uniformity for the MLI reconstructions was within a range of 95%-99% for all of the energies studied. Relative electron density estimation from HU values was within 0.4% ± 1.8% from nominal values. The CNR for MVCBCT based on MLI projections was 2-4× greater than from AS1200 projections. The 2.5 MV beam acquisition with the MLI exhibited the lowest noise and the best balance between CNR and dose for low-dose reconstructions.

conclusionsMegavoltage cone-beam acquisition imaging with a novel MLI prototype mounted on a clinical linear accelerator demonstrated substantial improvement over the standard AS1200 EPID. Further optimization of MVCBCT reconstruction, particularly for 2.5 MV acquisitions, will improve image metrics. Overall, the MLI improves CNR at substantially lower doses than currently required by conventional detectors. This new high DQE detector could provide high-quality MVCBCT at clinically acceptable doses.

Indexed as

Radiation DosageAlgorithmsCone-Beam Computed TomographyFeasibility StudiesImage Processing, Computer-AssistedPhantoms, ImagingEPIDMLIMVCBCTMVCBCT dose

Identifiers

PMID31930516
PMCPMC7165035

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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.