Evidence map›Paper›PMID 34258405›Full record

ArticlePhysics and imaging in radiation oncology2021

Quantifying inter-fraction cardiac substructure displacement during radiotherapy via magnetic resonance imaging guidance.

Eric D Morris, Ahmed I Ghanem, Simeng Zhu, Ming Dong, Milan V Pantelic, Carri K Glide-Hurst

Abstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Cardiac substructure delineation in radiation therapy - A state-of-the-art review.Journal of medical imaging and radiation oncology · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. 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

6 authors.

Eric D MorrisDepartment of Radiation Oncology, University of California-Los Angeles, Los Angeles, CA 90095, United States.
Ahmed I GhanemDepartment of Radiation Oncology, Henry Ford Cancer Institute, Detroit, MI 48202, United States.
Simeng ZhuDepartment of Radiation Oncology, Henry Ford Cancer Institute, Detroit, MI 48202, United States.
Ming DongDepartment of Computer Science, Wayne State University, Detroit, MI 48202, United States.
Milan V PantelicDepartment of Radiology, Henry Ford Cancer Institute, Detroit, MI 48202, United States.
Carri K Glide-HurstDepartment of Human Oncology, University of Wisconsin, Madison, Madison, WI 53792, United States.

Funding

Development of Anatomical Patient Models to Facilitate MR-only Treatment PlanningR01CA204189 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI GLIDE-HURST, CARRI KAYE · 2016 to 2020
$1.5M
NCI NIH HHS R01 CA204189
6 · The paper itself

Abstract

purposeEmerging evidence suggests cardiac substructures are highly radiosensitive during radiation therapy for cancer treatment. However, variability in substructure position after tumor localization has not been well characterized. This study quantifies inter-fraction displacement and planning organ at risk volumes (PRVs) of substructures by leveraging the excellent soft tissue contrast of magnetic resonance imaging (MRI).

methodsEighteen retrospectively evaluated patients underwent radiotherapy for intrathoracic tumors with a 0.35 T MRI-guided linear accelerator. Imaging was acquired at a 17-25 s breath-hold (resolution 1.5 × 1.5 × 3 mm

resultsAcross substructures, inter-fraction displacements for 14% in the left-right, 18% in the anterior-posterior, and 21% of fractions in the superior-inferior were > 5 mm. Due to lack of breath-hold compliance, ~4% of all structures shifted > 10 mm in any axis. For the chambers, median displacements were 1.8, 1.9, and 2.2 mm in the left-right, anterior-posterior, and superior-inferior axis, respectively. Great vessels demonstrated larger displacements (> 3 mm) in the superior-inferior axis (43% of shifts) and were only 25% (left-right) and 29% (anterior-posterior) elsewhere. PRVs from 3 to 5 mm were determined as anisotropic substructure-specific margins.

conclusionsThis exploratory work derived substructure-specific safety margins to ensure highly effective cardiac sparing. Findings require validation in a larger cohort for robust margin derivation and for applications in prospective clinical trials.

Indexed as

Cardiac substructuresInter-fractionMarginsMRgRTMRISegmentation

Identifiers

PMID34258405
PMCPMC8254195

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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.