Evidence map›Paper›PMID 39365744›Full record

ArticleJournal of applied clinical medical physics2025

Evaluation of cumulative dose distributions from external beam radiation therapy using CT-to-CBCT deformable image registration (DIR) for cervical cancer patients.

Carolyn Eckrich, Brandon Lee, Chunhao Wang, Kim Light, Junzo Chino, Anna Rodrigues, Oana Craciunescu

Abstract readEvaluation Study
In one paragraph

Article in Journal of applied clinical medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Carolyn EckrichDuke University Medical Center, Department of Radiation Oncology, Durham, North Carolina, USA.ORCID https://orcid.org/0009-0004-0560-4150
Brandon LeeMIM Software, Cleveland, Ohio, USA.
Chunhao WangDuke University Medical Center, Department of Radiation Oncology, Durham, North Carolina, USA.
Kim LightDuke University Medical Center, Department of Radiation Oncology, Durham, North Carolina, USA.
Junzo ChinoDuke University Medical Center, Department of Radiation Oncology, Durham, North Carolina, USA.
Anna RodriguesDuke University Medical Center, Department of Radiation Oncology, Durham, North Carolina, USA.ORCID https://orcid.org/0000-0003-1843-0415
Oana CraciunescuDuke University Medical Center, Department of Radiation Oncology, Durham, North Carolina, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate dose differences between the planning CT (pCT) and dose calculated on pre-treatment verification CBCTs using DIR and dose summation for cervical cancer patients.

methodsCervical cancer patients treated at our institution with 45 Gy EBRT undergo a pCT and 5 CBCTs, once every five fractions of treatment. A free-form intensity-based DIR in MIM was performed between the pCT and each CBCT using the "Merged CBCT" feature to generate an extended FOV-CBCT (mCBCT). DIR-generated bladder and rectum contours were adjusted by a physician, and dice similarity coefficients (DSC) were calculated. After deformation, the investigated doses were (1) recalculated in Eclipse using original plan parameters (ecD), and (2) deformed from planning dose (pD) using the deformation matrix in MIM (mdD). Dose summation was performed to the first week's mCBCT. Dose distributions were compared for the bladder, rectum, and PTV in terms of percent dose difference, dose volume histograms (DVHs), and gamma analysis between the calculated doses.

resultsFor the 20 patients, the mean DSC was 0.68 ± 0.17 for bladder and 0.79 ± 0.09 for rectum. Most patients were within 5% of pD for D2cc (19/20), Dmax (17/20), and Dmean (16/20). All patients demonstrated a percent difference > 5% for bladder V45 due to variations in bladder volume from the pCT. D90 showed fewer differences with 19/20 patients within 2% of pD. Gamma rates between pD and ecD averaged 94% for bladder and 94% for rectum, while pD and mdD exhibited slightly better performance for bladder (93%) and lower for rectum (85%).

conclusionUsing DIR with weekly CBCT images, the MIM deformed dose (mdD) was found to be in close agreement with the Eclipse calculated dose (ecD). The proposed workflow should be used on a case-by-case basis when the weekly CBCT shows marked difference in organs-at-risk from the planning CT.

Indexed as

Cone-Beam Computed TomographyImage Processing, Computer-AssistedOrgans at RiskRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedUterine Cervical NeoplasmsAlgorithmsFemaleHumansPrognosisTomography, X-Ray ComputedUrinary BladderCBCTcervical cancerdeformable image registration

Identifiers

PMID39365744
PMCPMC11713260

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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.