Evidence map›Paper›PMID 36942905›Full record

ArticleRadiology and oncology2023

The spine and carina as a surrogate for target registration in cone-beam CT imaging verification in locally advanced lung cancer radiotherapy.

Jasna But-Hadzic, Karmen Strljic, Valerija Zager Marcius

Abstract read
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Article in Radiology and oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Jasna But-HadzicDepartment of Radiotherapy, Institute of Oncology Ljubljana, Ljubljana, Slovenia.
Karmen StrljicDepartment of Radiotherapy, Institute of Oncology Ljubljana, Ljubljana, Slovenia.
Valerija Zager MarciusDepartment of Radiotherapy, Institute of Oncology Ljubljana, Ljubljana, Slovenia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of the study was to evaluate the accuracy of volumetric lung image guidance using the spine or carina as a surrogate to target for image registration, as the best approach is not established. PATIENTS AND

methodsCone beam computed tomography images from the 1

resultsThe spine and carina mean set-up deviation from reference were largest in the LONG, with the best match in the VRT and LAT, respectively. Both strategies were more accurate in central tumours, with the carina being more precise in 50% LAT and 66% LONG mean deviations. For all measurements in all patients a carina

conclusionsCarina registration shows greater accuracy compared to spine in the LAT and LONG directions and is superior in central tumours, N2 and N3. The spine and carina surrogates are equally accurate for peripheral tumours and N0. We propose the carina as a surrogate to target for CBCT image registration in locally advanced lung cancer.

Indexed as

Lung NeoplasmsRadiotherapy, Image-GuidedCone-Beam Computed TomographyHumansLungRadiotherapy Planning, Computer-Assistedadaptive radiotherapycarina registrationlocally advanced lung cancerspine registrationtumour registrationvolumetric image verification

Identifiers

PMID36942905
PMCPMC10039477

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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.