Evidence map›Paper›PMID 30919974›Full record

ArticleMedical physics2019

A novel deformable lung phantom with programably variable external and internal correlation.

Maida Ranjbar, Pouya Sabouri, Carlo Repetto, Amit Sawant

Abstract 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 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.

  1. Lifelike and Deformable Lung Phantoms for 4DCT Imaging: A Three-Dimensional Printing Approach.Conference proceedings. International Conference on Image Formation in X-Ray Computed Tomography · 2024
    Article
  2. Article
  3. Article
  4. Article
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

4 authors.

Maida RanjbarDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Pouya SabouriDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Carlo RepettoDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Amit SawantDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.

Funding

Personalized Motion Management for truly 4D Lung Stereotactic Body RadiotherapyR01CA169102 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI SAWANT, AMIT · 2013 to 2018
$2.8M
NCI NIH HHS R01 CA169102NIH HHS R01 CA169102Varian Medical Systems
6 · The paper itself

Abstract

purposeLung motion phantoms used to validate radiotherapy motion management strategies have fairly simplistic designs that do not adequately capture complex phenomena observed in human respiration such as external and internal deformation, variable hysteresis and variable correlation between different parts of the thoracic anatomy. These limitations make reliable evaluation of sophisticated motion management techniques quite challenging. In this work, we present the design and implementation of a programmable, externally and internally deformable lung motion phantom that allows for a reproducible change in external-internal and internal-internal correlation of embedded markers.

methodsAn in-house-designed lung module, made from natural latex foam was inserted inside the outer shell of a commercially available lung phantom (RSD, Long Beach, CA, USA). Radiopaque markers were placed on the external surface and embedded into the lung module. Two independently programmable high-precision linear motion actuators were used to generate primarily anterior-posterior (AP) and primarily superior-inferior (SI) motion in a reproducible fashion in order to enable (a) variable correlation between the displacement of interior volume and the exterior surface, (b) independent changes in the amplitude of the AP and SI motions, and (c) variable hysteresis. The ability of the phantom to produce complex and variable motion accurately and reproducibly was evaluated by programming the two actuators with mathematical and patient-recorded lung tumor motion traces, and recording the trajectories of various markers using kV fluoroscopy. As an example application, the phantom was used to evaluate the performance of lung motion models constructed from kV fluoroscopy and 4DCT images.

resultsThe phantom exhibited a high degree of reproducibility and marker motion ranges were reproducible to within 0.5 mm. Variable correlation was observed between the displacements of internal-internal and internal-external markers. The SI and AP components of motion of a specific marker had a correlation parameter that varied from -11 to 17. Monitoring a region of interest on the phantom's surface to estimate internal marker motion led to considerably lower uncertainties than when a single point was monitored.

conclusionsWe successfully designed and implemented a programmable, externally and internally deformable lung motion phantom that allows for a reproducible change in external-internal and internal-internal correlation of embedded markers.

Indexed as

Phantoms, ImagingFluoroscopyFour-Dimensional Computed TomographyHumansImage Processing, Computer-AssistedLungLung NeoplasmsMovementOrgans at RiskRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedRespirationRespiratory-Gated Imaging Techniquesdeformable lung phantomprogrammablerespiratory motion managementsurrogate-based lung motion modelvariable correlation

Identifiers

PMID30919974
PMCPMC6510612

What OpenQuestion holds

Textmetadata
LicenceTDM
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.