Evidence map›Paper›PMID 30306710›Full record

ArticleJournal of applied clinical medical physics2018

A clinical 3D/4D CBCT-based treatment dose monitoring system.

An Qin, David Gersten, Jian Liang, Qiang Liu, Inga Grill, Thomas Guerrero, Craig Stevens, Di Yan

Open access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
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

12 citing papers in PubMed, 25 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

An QinDepartment of Radiation Oncology, Beaumont Health System, Royal Oak, MI, USA.
David GerstenDepartment of Radiation Oncology, Beaumont Health System, Royal Oak, MI, USA.
Jian LiangDepartment of Radiation Oncology, Beaumont Health System, Royal Oak, MI, USA.
Qiang LiuDepartment of Radiation Oncology, Beaumont Health System, Royal Oak, MI, USA.
Inga GrillDepartment of Radiation Oncology, Beaumont Health System, Royal Oak, MI, USA.
Thomas GuerreroDepartment of Radiation Oncology, Beaumont Health System, Royal Oak, MI, USA.
Craig StevensDepartment of Radiation Oncology, Beaumont Health System, Royal Oak, MI, USA.
Di YanDepartment of Radiation Oncology, Beaumont Health System, Royal Oak, MI, USA.
Beaumont Health · US

Funding

Elekta R&D
6 · The paper itself

Abstract

To monitor delivered dose and trigger plan adaptation when deviation becomes unacceptable, a clinical treatment dose (Tx-Dose) reconstruction system based on three-dimensional (3D)/four-dimensional (4D)-cone beam computed tomograpy (CBCT) images was developed and evaluated on various treatment sites, particularly for lung cancer patient treated by stereotactic body radiation therapy (SBRT). This system integrates with our treatment planning system (TPS), Linacs recording and verification system (R&V), and CBCT imaging system, consisting of three modules: Treatment Schedule Monitoring module (TSM), pseudo-CT Generating module (PCG), and Treatment Dose Reconstruction/evaluation module (TDR). TSM watches the treatment progress in the R&V system and triggers the PCG module when new CBCT is available. PCG retrieves the CBCTs and performs planning CT to CBCT deformable registration (DIR) to generate pseudo-CT. The 4D-CBCT images are taken for target localization and correction in lung cancer patient before treatment. To take full advantage of the valuable information carried by 4D-CBCT, a novel phase-matching DIR scheme was developed to generate 4D pseudo-CT images for 4D dose reconstruction. Finally, TDR module creates TPS scripts to automate Tx-Dose calculation on the pseudo-CT images. Both initial quantitative commissioning and patient-specific qualitative quality assurance of the DIR tool were utilized to ensure the DIR quality. The treatment doses of ten patients (six SBRT-lung, two head and neck (HN), one breast and one prostate cancer patients) were retrospectively constructed and evaluated. The target registration error (mean ± STD: 1.05 ± 1.13 mm) of the DIR tool is comparable to the interobserver uncertainty (0.88 ± 1.31 mm) evaluated by a publically available lung-landmarks dataset. For lung SBRT patients, the D

Indexed as

Cone-Beam Computed TomographyFollow-Up StudiesFour-Dimensional Computed TomographyHead and Neck NeoplasmsHumansImage Processing, Computer-AssistedLung NeoplasmsMalePrognosisProstatic NeoplasmsRadiosurgeryRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedRetrospective Studies4D-CBCTadaptive radiotherapyCBCTIGRTtreatment dose

Identifiers

PMID30306710
PMCPMC6236849
OpenAlexW2901160984

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.