Evidence map›Paper›PMID 41333223›Full record

ArticleFrontiers in oncology2025

Automated contouring, treatment planning, and quality assurance for total marrow lymphoid irradiation.

Eric Simiele, Caressa Hui, Ignacio Romero, Zi Yang, Lawrie Skinner, Lei Xing, Jason B Ross, Richard T Hoppe, Michael S Binkley, Susan M Hiniker and 1 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Eric SimieleRadiation Oncology Department, Stanford Healthcare, Stanford, CA, United States.
Caressa HuiRadiation Oncology Department, Stanford Healthcare, Stanford, CA, United States.
Ignacio RomeroRadiation Oncology Department, Stanford Healthcare, Stanford, CA, United States.
Zi YangRadiation Oncology Department, Stanford Healthcare, Stanford, CA, United States.
Lawrie SkinnerRadiation Oncology Department, Stanford Healthcare, Stanford, CA, United States.
Lei XingRadiation Oncology Department, Stanford Healthcare, Stanford, CA, United States.
Jason B RossRadiation Oncology Department, Stanford Healthcare, Stanford, CA, United States.
Richard T HoppeRadiation Oncology Department, Stanford Healthcare, Stanford, CA, United States.
Michael S BinkleyRadiation Oncology Department, Stanford Healthcare, Stanford, CA, United States.
Susan M HinikerRadiation Oncology Department, Stanford Healthcare, Stanford, CA, United States.
Nataliya KovalchukRadiation Oncology Department, Stanford Healthcare, Stanford, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Total marrow and lymphoid irradiation (TMLI) enables dose escalation to targets while minimizing exposure to surrounding organs at risk (OARs), but its clinical implementation is complex. To simplify this process, contouring, treatment planning, and physics plan checks were automated, and the scripts were made publicly available. Methods: Fifty patients (age, range 2-64 years) previously treated with volumetric modulated arc therapy total body irradiation (VMAT-TBI) were used for the development of an auto-contouring model to segment the relevant targets. Auto-contours were evaluated using the Dice Similarity Coefficient (DSC), 95% Hausdorff Distance (HD95), and qualitative ranking by four physicians. Automated planning script was created using the Varian Eclipse TPS API and was tested with ten patients: five plans using low-dose 2 Gy TMLI and five plans using high-dose 12 Gy TMLI. Dosimetric parameters, planning time, and blinded physician review were used to evaluate differences between auto and manual plans. Dosimetric differences between the VMAT-TMLI and analogous VMAT- TBI plans were also compared. Plan preparation for treatment and plan check processes were also automated to improve efficiency and to ensure safety and consistency. Results: The TMLI target auto-contours achieved an average DSC of 0.89 ± 0.03, HD95 of 3.38 ± 1.46, and a reviewers' ranking of 1.12 ± 0.06, indicating close to "acceptable-as-is". Compared to the manual VMAT-TMLI plans, the auto-plans demonstrated comparable dosimetric plan quality, with an average dose difference of -1.3% ± 5.9%. Five reviewers (four radiation oncologists and one medical physicist) selected the auto-plans as either equivalent or preferred 74% of the time. However, the required time for the auto-contouring and auto-planning was 4-5 hours compared to an estimated 2-3 days for manual contouring and planning. For both 2 Gy and 12 Gy prescriptions, the VMAT-TMLI plans achieved significantly greater OAR sparing compared to VMAT-TBI, with an average dose reduction of -34.1% ± 9.4%. Notably, the oral cavity, lenses, eyes, and salivary glands exhibited the most significant reductions, each exceeding 50% (all p ≤ 0.05). Conclusions: An automated VMAT-TMLI planning process was developed, improving efficiency while maintaining clinical quality. The freely available scripts and documentation aim to standardize TMLI delivery and support multi-institutional trials.

Indexed as

C-arm linacTMLI (total marrow lymphoid irradiation)VMAT-TBIVMAT-TMIVMAT-TMLI

Identifiers

PMID41333223
PMCPMC12665524

What Socratic 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 Socratic graph.