Evidence map›Paper›PMID 33073454›Full record

ArticleJournal of applied clinical medical physics2020

Incorporating sensitive cardiac substructure sparing into radiation therapy planning.

Eric D Morris, Kate Aldridge, Ahmed I Ghanem, Simeng Zhu, Carri K Glide-Hurst

Open access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Modality-AGnostic image Cascade (MAGIC) for multi-modality cardiac substructure segmentation.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2026
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  15. Mediastinal irradiation and valvular heart disease.Cardio-oncology (London, England) · 2022
    Review
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  17. SBRT of ventricular tachycardia using 4pi optimized trajectories.Journal of applied clinical medical physics · 2021
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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 at 4 institutions in 2 countries.

Eric D MorrisDepartment of Radiation Oncology, University of California - Los Angeles, Los Angeles, CA, USA.
Kate AldridgeDepartment of Radiation Oncology, Henry Ford Cancer Institute, Detroit, MI, USA.
Ahmed I GhanemDepartment of Radiation Oncology, Henry Ford Cancer Institute, Detroit, MI, USA.
Simeng ZhuDepartment of Radiation Oncology, Henry Ford Cancer Institute, Detroit, MI, USA.
Carri K Glide-HurstDepartment of Human Oncology, University of Wisconsin - Madison, Madison, WI, USA.
Henry Ford Hospital · USAlexandria University · EGUniversity of California, Los Angeles · USUniversity of Wisconsin–Madison · US

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 CA204189NIH HHS R01 CA204189-01A1
6 · The paper itself

Abstract

purposeRising evidence suggests that cardiac substructures are highly radiosensitive. However, they are not routinely considered in treatment planning as they are not readily visualized on treatment planning CTs (TPCTs). This work integrated the soft tissue contrast provided by low-field MRIs acquired on an MR-linac via image registration to further enable cardiac substructure sparing on TPCTs.

methodsSixteen upper thoracic patients treated at various breathing states (7 end-exhalation, 7 end-inhalation, 2 free-breathing) on a 0.35T MR-linac were retrospectively evaluated. A hybrid MR/CT atlas and a deep learning three-dimensional (3D) U-Net propagated 13 substructures to TPCTs. Radiation oncologists revised contours using registered MRIs. Clinical treatment plans were re-optimized and evaluated for beam arrangement modifications to reduce substructure doses. Dosimetric assessment included mean and maximum (0.03cc) dose, left ventricular volume receiving 5Gy (LV-V5), and other clinical endpoints. As metrics of plan complexity, total MU and treatment time were evaluated between approaches.

resultsCardiac sparing plans reduced the mean heart dose (mean reduction 0.7 ± 0.6, range 0.1 to 2.5 Gy). Re-optimized plans reduced left anterior descending artery (LADA) mean and LADA

conclusionsBy introducing 0.35T MRIs acquired on an MR-linac to verify cardiac substructure segmentations for CT-based treatment planning, an opportunity was presented for more effective sparing with limited increase in plan complexity. Validation in a larger cohort with appropriate margins offers potential to reduce radiation-related cardiotoxicities.

Indexed as

Radiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedHeartHumansOrgans at RiskRadiotherapy DosageRetrospective Studiescardiac toxicityMRIMRI-linactreatment planning

Identifiers

PMID33073454
PMCPMC7701109
OpenAlexW3093441485

What OpenQuestion holds

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LicenceCC BY
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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.