Evidence map›Paper›PMID 26943271›Full record

ArticlePhysics in medicine and biology2016

A new scheme for real-time high-contrast imaging in lung cancer radiotherapy: a proof-of-concept study.

Hao Yan, Zhen Tian, Yiping Shao, Steve B Jiang, Xun Jia

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Deep learning-based Fast Volumetric Image Generation for Image-guided Proton Radiotherapy.IEEE transactions on radiation and plasma medical sciences · 2024
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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

5 authors.

Hao YanDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Zhen TianDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Yiping ShaoDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Steve B JiangDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Xun JiaDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Funding

Low dose cone beam CT for image guided adaptive radiotherapyR01CA154747 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI JIANG, STEVE BIN · 2011 to 2015
$1.4M
4D cone beam CT reconstruction for radiotherapy via motion vector optimizationR21EB017978 · NIBIB · UT SOUTHWESTERN MEDICAL CENTER · PI JIA, XUN · 2014 to 2015
$444k
A progressive cone-beam CT dose control scheme for image-guided radiation therapyR21CA178787 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI JIA, XUN · 2014 to 2015
$380k
NCI NIH HHS 1R01CA154747-01NCI NIH HHS 1R21 CA178787-01A1NCI NIH HHS R01 CA154747NCI NIH HHS R21 CA178787NIBIB NIH HHS 1R21 EB017978-01A1NIBIB NIH HHS R21 EB017978
6 · The paper itself

Abstract

Visualization of anatomy in real time is of critical importance for motion management in lung cancer radiotherapy. To achieve real-time, and high-contrast in-treatment imaging, we propose a novel scheme based on the measurement of Compton scatter photons. In our method, a slit x-ray beam along the superior-inferior direction is directed to the patient, (intersecting the lung region at a 2D plane) containing most of the tumor motion trajectory. X-ray photons are scattered off this plane primarily due to the Compton interaction. An imager with a pinhole or a slat collimator is placed at one side of the plane to capture the scattered photons. The resulting image, after correcting for incoming fluence inhomogeneity, x-ray attenuation, scatter angle variation, and outgoing beam geometry, represents the linear attenuation coefficient of Compton scattering. This allows the visualization of the anatomy on this plane. We performed Monte Carlo simulation studies both on a phantom and a patient for proof-of-principle purposes. In the phantom case, a small tumor-like structure could be clearly visualized. The contrast-resolution calculated using tumor/lung as foreground/background for kV fluoroscopy, cone beam computed tomography (CBCT), and scattering image were 0.037, 0.70, and 0.54, respectively. In the patient case, tumor motion could be clearly observed in the scatter images. Imaging dose to the voxels directly exposed by the slit beam was ~0.4 times of that under a single CBCT projection. These studies demonstrated the potential feasibility of the proposed imaging scheme to capture the instantaneous anatomy of a patient on a 2D plane with a high image contrast. Clear visualization of the tumor motion may facilitate marker-less tumor tracking.

Indexed as

PhotonsCone-Beam Computed TomographyHumansLung NeoplasmsRadiotherapy, Image-GuidedScattering, Radiation

Identifiers

PMID26943271
PMCPMC5590640

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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.