Evidence map›Paper›PMID 38627245›Full record

ArticleThe British journal of radiology2024

Clinical evaluation of the efficacy of limbus artificial intelligence software to augment contouring for prostate and nodes radiotherapy.

Alison Starke, Jacqueline Poxon, Kishen Patel, Paula Wells, Max Morris, Pandora Rudd, Karen Tipples, Niall MacDougall

Abstract read
In one paragraph

Article in The British journal of radiology, 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
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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

8 authors.

Alison StarkeRadiotherapy Physics, St Bartholomew's Hospital, London EC1A 7BE, United Kingdom.
Jacqueline PoxonRadiotherapy Physics, St Bartholomew's Hospital, London EC1A 7BE, United Kingdom.
Kishen PatelClinical Oncology, St Bartholomew's Hospital, London EC1A 7BE, United Kingdom.
Paula WellsClinical Oncology, St Bartholomew's Hospital, London EC1A 7BE, United Kingdom.
Max MorrisRadiotherapy Physics, St Bartholomew's Hospital, London EC1A 7BE, United Kingdom.
Pandora RuddClinical Oncology, St Bartholomew's Hospital, London EC1A 7BE, United Kingdom.
Karen TipplesClinical Oncology, St Bartholomew's Hospital, London EC1A 7BE, United Kingdom.
Niall MacDougallRadiotherapy Physics, St Bartholomew's Hospital, London EC1A 7BE, United Kingdom.ORCID 0000-0003-3291-0191

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine if Limbus, an artificial intelligence (AI) auto-contouring software, can offer meaningful time savings for prostate radiotherapy treatment planning.

methodsThree clinical oncologists recorded the time taken to contour prostate and seminal vesicles, lymph nodes, bladder, rectum, bowel, and femoral heads on CT scans for 30 prostate patients (15 prostate, 15 prostate and nodes). Limbus 1.6.0 was used to generate these contours on the 30 CT scans. The time taken by the oncologists to modify individual Limbus contours was noted and compared with manual contouring times. The geometric similarity of Limbus and expert contours was assessed using the Dice Similarity Coefficient (DSC), and the dosimetric impact of using un-edited Limbus organs at risk contours was studied.

resultsLimbus reduced the time to produce clinically acceptable contours by 26 minutes for prostate and nodes patients and by 13 minutes for the prostate only patients. DSC values of greater than 0.7 were calculated for all contours, demonstrating good initial agreement. A dosimetric study showed that 5 of the 20 plans optimized using unmodified AI structures required unnecessary compromise of PTV coverage, highlighting the importance of expert review.

conclusionsLimbus offers significant time saving and has become an essential part of our clinical practice. ADVANCES IN KNOWLEDGE: This article is the first to include bowel and lymph nodes when assessing potential time savings using Limbus software. It demonstrates that Limbus can be used as an aid for prostate and node radiotherapy treatment planning.

Indexed as

Artificial IntelligenceOrgans at RiskProstatic NeoplasmsRadiotherapy Planning, Computer-AssistedSoftwareHumansLymph NodesMaleProstateRadiotherapy DosageTomography, X-Ray ComputedAIcontourmachine learningoncologyplanningprostateradiotherapy

Identifiers

PMID38627245
PMCPMC11135797

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.