Evidence map›Paper›PMID 38035207›Full record

ArticlePhysics and imaging in radiation oncology2023

Development of a comprehensive cardiac atlas on a 1.5 Tesla Magnetic Resonance Linear Accelerator.

Aronne M Schottstaedt, Eric S Paulson, Jason C Rubenstein, Xinfeng Chen, Eenas A Omari, X Allen Li, Chris J Schultz, Lindsay L Puckett, Clifford G Robinson, Filippo Alongi and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03500081 (Solid Tumor Imaging MR-Linac), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

NCT03500081 suspendednot on this map

Solid Tumor Imaging MR-Linac (STIM Study)

TypeobservationalSponsorMedical College of WisconsinRan2017 to 2029Enrolled295ConditionsCancerArmsMRI Scan
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Cardiac substructure delineation in radiation therapy - A state-of-the-art review.Journal of medical imaging and radiation oncology · 2024
    Review
  4. Article
  5. 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.

Aronne M SchottstaedtMedical College of Wisconsin, Department of Radiation Oncology, Milwaukee, WI, United States.
Eric S PaulsonMedical College of Wisconsin, Department of Radiation Oncology, Milwaukee, WI, United States.
Jason C RubensteinMedical College of Wisconsin, Department of Radiology, Milwaukee, WI, United States.
Xinfeng ChenMedical College of Wisconsin, Department of Radiation Oncology, Milwaukee, WI, United States.
Eenas A OmariMedical College of Wisconsin, Department of Radiation Oncology, Milwaukee, WI, United States.
X Allen LiMedical College of Wisconsin, Department of Radiation Oncology, Milwaukee, WI, United States.
Chris J SchultzMedical College of Wisconsin, Department of Radiation Oncology, Milwaukee, WI, United States.
Lindsay L PuckettMedical College of Wisconsin, Department of Radiation Oncology, Milwaukee, WI, United States.
Clifford G RobinsonWashington University, Department of Radiation Oncology, St. Louis, MO, United States.
Filippo AlongiIRCCS Sacro Cuore Don Calabria Hospital, Department of Radiation Oncology, Negrar-Verona, Italy & University of Brescia, Faculty of Medicine, Brescia, Italy.
Elizabeth M GoreMedical College of Wisconsin, Department of Radiation Oncology, Milwaukee, WI, United States.
William A HallMedical College of Wisconsin, Department of Radiation Oncology, Milwaukee, WI, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: The 1.5 Tesla (T) Magnetic Resonance Linear Accelerator (MRL) provides an innovative modality for improved cardiac imaging when planning radiation treatment. No MRL based cardiac atlases currently exist, thus, we sought to comprehensively characterize cardiac substructures, including the conduction system, from cardiac images acquired using a 1.5 T MRL and provide contouring guidelines. Materials and methods: Five volunteers were enrolled in a prospective protocol (NCT03500081) and were imaged on the 1.5 T MRL with Half Fourier Single-Shot Turbo Spin-Echo (HASTE) and 3D Balanced Steady-State Free Precession (bSSFP) sequences in axial, short axis, and vertical long axis. Cardiac anatomy was contoured by (AS) and confirmed by a board certified cardiologist (JR) with expertise in cardiac MR imaging. Results: A total of five volunteers had images acquired with the HASTE sequence, with 21 contours created on each image. One of these volunteers had additional images obtained with 3D bSSFP sequences in the axial plane and additional images obtained with HASTE sequences in the key cardiac planes. Contouring guidelines were created and outlined. 15-16 contours were made for the short axis and vertical long axis. The cardiac conduction system was demonstrated with eleven representative contours. There was reasonable variation of contour volume across volunteers, with structures more clearly delineated on the 3D bSSFP sequence. Conclusions: We present a comprehensive cardiac atlas using novel images acquired prospectively on a 1.5 T MRL. This cardiac atlas provides a novel resource for radiation oncologists in delineating cardiac structures for treatment with radiotherapy, with special focus on the cardiac conduction system.

Indexed as

1.5T MRLCardiac conduction systemContouring guidelinesMRgRTRadiation Oncology Cardiac Atlas

Identifiers

PMID38035207
PMCPMC10682663

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Registered trials

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.