Evidence map›Paper›PMID 31299097›Full record

ArticleMedical physics2019

Dosimetric evaluation of 4D-CBCT reconstructed by Simultaneous Motion Estimation and Image Reconstruction (SMEIR) for carbon ion therapy of lung cancer.

Deepak Shrestha, Min-Yu Tsai, Nan Qin, You Zhang, Xun Jia, Jing Wang

Open access · greenAbstract read
In one paragraph

Article in Medical physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Research Progress of Heavy Ion Radiotherapy for Non-Small-Cell Lung Cancer.International journal of molecular sciences · 2022
    Review
  2. Article
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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

6 authors at 1 institution in 1 country.

Deepak ShresthaDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Min-Yu TsaiDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Nan QinDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
You ZhangDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Xun JiaDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Jing WangDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
The University of Texas Southwestern Medical Center · US

Funding

Next generation 4D-CBCT for lung cancer radiation therapyR01EB020366 · NIBIB · UT SOUTHWESTERN MEDICAL CENTER · PI WANG, JING · 2015 to 2018
$1.4M
Cancer Prevention and Research Institute of Texas RP160661NIBIB NIH HHS R01 EB020366NIH HHS
6 · The paper itself

Abstract

purposeMotion management is critical for the efficacy of carbon ion therapy for moving targets such as lung tumors. We evaluated the feasibility of using four-dimensional cone beam computed tomography (4D-CBCT) reconstructed by Simultaneous Motion Estimation and Image Reconstruction (SMEIR) for dose calculation and accumulation in carbon ion treatment of lung cancer.

methodsMotion-compensated 4D-CBCT images were reconstructed with the SMEIR algorithm to capture the most updated anatomy and motion with an updated interphase motion model on the treatment day. Projections of all CBCT phases were simulated from the planning 4D-CT by the ray tracing technique. Treatment planning and dose calculation were performed with a GPU-based Monte Carlo dose calculation software for carbon ion therapy. The treatment plan was optimized on the average computed tomography (CT) to obtain optimal intensity of the carbon ions. From the optimized plan, dose distributions on individual phases of 4D-CT and 4D-CBCT were calculated by the Monte Carlo-based dose engine. Dose accumulation was performed on 4D-CBCT images using deformable vector fields (DVF) generated by SMEIR. The accumulated planning target volume (PTV) dose based on 4D-CBCT was then compared to the accumulated dose calculated on 4D-CT, where the DVFs between different phases were obtained by the demons deformable registration algorithm.

resultsDose value histograms (DVH) as well as absolute deviations of the maximum dose (

conclusionsBased on these results, SMEIR-reconstructed 4D-CBCTs can potentially be used for motion estimation, dose evaluation, and adaptive treatment planning in lung cancer carbon ion therapy.

Indexed as

Four-Dimensional Computed TomographyHeavy Ion RadiotherapyImage Processing, Computer-AssistedMovementFeasibility StudiesHumansLung NeoplasmsRadiometryRadiotherapy DosageRadiotherapy Planning, Computer-AssistedTime Factors4D-CBCT4D-CTcarbon ion treatmentlung cancermotion managementplan adaptationSMEIR

Identifiers

PMID31299097
PMCPMC6739143
OpenAlexW2961292313

What OpenQuestion holds

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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.