Evidence map›Paper›PMID 38235286›Full record

ArticlePhysics and imaging in radiation oncology2024

Retrospective reconstruction of four-dimensional magnetic resonance from interleaved cine imaging - A comparative study with four-dimensional computed tomography in the lung.

Giulia Peteani, Chiara Paganelli, Anna Chiara Giovannelli, Barbara Bachtiary, Sairos Safai, Susanne Rogers, Orso Pusterla, Oliver Riesterer, Damien Charles Weber, Antony John Lomax and 2 more

Open access · goldAbstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. The role of 4D particle therapy in daily patient care and research.Physics and imaging in radiation oncology · 2024
    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

12 authors at 6 institutions in 2 countries.

Giulia PeteaniDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Chiara PaganelliDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Anna Chiara GiovannelliCenter for Proton Therapy, Paul Scherrer Institut, Villigen, Switzerland.
Barbara BachtiaryCenter for Proton Therapy, Paul Scherrer Institut, Villigen, Switzerland.
Sairos SafaiCenter for Proton Therapy, Paul Scherrer Institut, Villigen, Switzerland.
Susanne RogersDepartment of Radiation Oncology, Kantonsspital Aarau, 5001 Aarau, Switzerland.
Orso PusterlaDepartment of Radiology, Division of Radiological Physics, University Hospital Basel, University of Basel, Basel, Switzerland.
Oliver RiestererDepartment of Radiation Oncology, Kantonsspital Aarau, 5001 Aarau, Switzerland.
Damien Charles WeberCenter for Proton Therapy, Paul Scherrer Institut, Villigen, Switzerland.
Antony John LomaxCenter for Proton Therapy, Paul Scherrer Institut, Villigen, Switzerland.
Guido BaroniDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Giovanni FattoriCenter for Proton Therapy, Paul Scherrer Institut, Villigen, Switzerland.
Paul Scherrer Institute · CHKantonsspital Aarau · CHNational Center for Oncological Hadrontherapy · ITPolitecnico di Milano · ITUniversity of Basel · CHUniversity of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Imaging of respiration-induced anatomical changes is essential to ensure high accuracy in radiotherapy of lung cancer. We expanded here on methods for retrospective reconstruction of time-resolved volumetric magnetic resonance (4DMR) of the thoracic region and benchmarked the results against 4D computed tomography (4DCT). Materials and method: MR data of six lung cancer patients were collected by interleaving cine-navigator images with 2D data frame images, acquired across the thorax. The data frame images have been stacked in volumes based on a similarity metric that considers the anatomical deformation of lungs, while addressing ambiguities in respiratory phase detection and interpolation of missing data. The resulting images were validated against cine-navigator images and compared to paired 4DCTs in terms of amplitude and period of motion, assessing differences in internal target volume (ITV) margin definition. Results: 4DMR-based motion amplitude was on average within 1.8 mm of that measured in the corresponding 2D cine-navigator images. In our dataset, the 4DCT motion and the 4DMR median amplitude were always within 3.8 mm. The median period was generally close to CT references, although deviations up to 24 % have been observed. These changes were reflected in the ITV, which was generally larger for MRI than for 4DCT (up to 39.7 %). Conclusions: The proposed algorithm for retrospective reconstruction of time-resolved volumetric MR provided quality anatomical images with high temporal resolution for motion modelling and treatment planning. The potential for imaging organ motion variability makes 4DMR a valuable complement to standard 4DCT imaging.

Indexed as

4DMRLung cancerOrgan motionRadiotherapy

Identifiers

PMID38235286
PMCPMC10792758
OpenAlexW4390245659

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.