Evidence map›Paper›PMID 33011990›Full record

ArticleMedical physics2020

Technical Note: 4D cone-beam CT reconstruction from sparse-view CBCT data for daily motion assessment in pencil beam scanned proton therapy (PBS-PT).

Lydia A den Otter, Kuanling Chen, Guillaume Janssens, Arturs Meijers, Stefan Both, Johannes A Langendijk, Lane R Rosen, Hsinshun T Wu, Antje-Christin Knopf

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
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  5. 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

9 authors at 4 institutions in 3 countries.

Lydia A den OtterDepartment of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, 9713 GZ, The Netherlands.
Kuanling ChenDepartment of Radiation Oncology, Willis-Knighton Cancer Center, Shreveport, LA, USA.
Guillaume JanssensIon Beam Applications, Research and Development, Louvain-la-Neuve, Belgium.
Arturs MeijersDepartment of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, 9713 GZ, The Netherlands.
Stefan BothDepartment of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, 9713 GZ, The Netherlands.
Johannes A LangendijkDepartment of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, 9713 GZ, The Netherlands.
Lane R RosenDepartment of Radiation Oncology, Willis-Knighton Cancer Center, Shreveport, LA, USA.
Hsinshun T WuDepartment of Radiation Oncology, Willis-Knighton Cancer Center, Shreveport, LA, USA.
Antje-Christin KnopfDepartment of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, 9713 GZ, The Netherlands.
University Medical Center Groningen · NLWillis-Knighton Cancer Center · USUniversity of Groningen · NLIon Beam Applications (Belgium) · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe number of pencil beam scanned proton therapy (PBS-PT) facilities equipped with cone-beam computed tomography (CBCT) imaging treating thoracic indications is constantly rising. To enable daily internal motion monitoring during PBS-PT treatments of thoracic tumors, we assess the performance of Motion-Aware RecOnstructiOn method using Spatial and Temporal Regularization (MA-ROOSTER) four-dimensional CBCT (4DCBCT) reconstruction for sparse-view CBCT data and a realistic data set of patients treated with proton therapy.

methodsDaily CBCT projection data for nine non-small cell lung cancer (NSCLC) patients and one SCLC patient were acquired at a proton gantry system (IBA Proteus® One). Four-dimensional CBCT images were reconstructed applying the MA-ROOSTER and the conventional phase-correlated Feldkamp-Davis-Kress (PC-FDK) method. Image quality was assessed by visual inspection, contrast-to-noise ratio (CNR), signal-to-noise ratio (SNR), and the structural similarity index measure (SSIM). Furthermore, gross tumor volume (GTV) centroid motion amplitudes were evaluated.

resultsImage quality for the 4DCBCT reconstructions using MA-ROOSTER was superior to the PC-FDK reconstructions and close to FDK images (median CNR: 1.23 [PC-FDK], 1.98 [MA-ROOSTER], and 1.98 [FDK]; median SNR: 2.56 [PC-FDK], 4.76 [MA-ROOSTER], and 5.02 [FDK]; median SSIM: 0.18 [PC-FDK vs FDK], 0.31 [MA-ROOSTER vs FDK]). The improved image quality of MA-ROOSTER facilitated GTV contour warping and realistic motion monitoring for most of the reconstructions.

conclusionMA-ROOSTER based 4DCBCTs performed well in terms of image quality and appear to be promising for daily internal motion monitoring in PBS-PT treatments of (N)SCLC patients.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsProton TherapySpiral Cone-Beam Computed TomographyAlgorithmsAnimalsChickensCone-Beam Computed TomographyFour-Dimensional Computed TomographyHumansImage Processing, Computer-AssistedMalePhantoms, Imaging4D-CBCTimage reconstructioninter-fractional motionLung cancerpencil beam scanningproton therapy

Identifiers

PMID33011990
PMCPMC7821169
OpenAlexW3090880727

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.