Evidence map›Paper›PMID 38757728›Full record

ReviewJournal of medical imaging and radiation oncology2024

Cardiac substructure delineation in radiation therapy - A state-of-the-art review.

Robert N Finnegan, Alexandra Quinn, Jeremy Booth, Gregg Belous, Nicholas Hardcastle, Maegan Stewart, Brooke Griffiths, Susan Carroll, David I Thwaites

Abstract readReview
In one paragraph

Review in Journal of medical imaging and radiation oncology, 2024. 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 dosimetry in thoracic radiotherapy: moving beyond mean heart dose and toward precision cardiac risk mitigation.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2026
    Review
  3. Article
  4. 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
    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

9 authors.

Robert N FinneganNorthern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0003-4728-8462
Alexandra QuinnNorthern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, New South Wales, Australia.
Jeremy BoothNorthern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, New South Wales, Australia.
Gregg BelousAustralian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Queensland, Australia.
Nicholas HardcastleDepartment of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-7796-8472
Maegan StewartNorthern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, New South Wales, Australia.
Brooke GriffithsNorthern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, New South Wales, Australia.
Susan CarrollNorthern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, New South Wales, Australia.
David I ThwaitesInstitute of Medical Physics, School of Physics, University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-9633-6259

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delineation of cardiac substructures is crucial for a better understanding of radiation-related cardiotoxicities and to facilitate accurate and precise cardiac dose calculation for developing and applying risk models. This review examines recent advancements in cardiac substructure delineation in the radiation therapy (RT) context, aiming to provide a comprehensive overview of the current level of knowledge, challenges and future directions in this evolving field. Imaging used for RT planning presents challenges in reliably visualising cardiac anatomy. Although cardiac atlases and contouring guidelines aid in standardisation and reduction of variability, significant uncertainties remain in defining cardiac anatomy. Coupled with the inherent complexity of the heart, this necessitates auto-contouring for consistent large-scale data analysis and improved efficiency in prospective applications. Auto-contouring models, developed primarily for breast and lung cancer RT, have demonstrated performance comparable to manual contouring, marking a significant milestone in the evolution of cardiac delineation practices. Nevertheless, several key concerns require further investigation. There is an unmet need for expanding cardiac auto-contouring models to encompass a broader range of cancer sites. A shift in focus is needed from ensuring accuracy to enhancing the robustness and accessibility of auto-contouring models. Addressing these challenges is paramount for the integration of cardiac substructure delineation and associated risk models into routine clinical practice, thereby improving the safety of RT for future cancer patients.

Indexed as

HeartRadiotherapy Planning, Computer-AssistedHumansOrgans at RiskRadiotherapy Dosageartificial intelligenceheart/diagnostic imagingheart/radiation effectsradiotherapyradiotherapy planning, computer‐assisted

Identifiers

PMID38757728
PMCPMC11686467

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.