Evidence map›Paper›PMID 42665376›Full record

ArticleIn vivo (Athens, Greece)

Optimizing Computed Tomography-derived Surface Monitoring for Accurate Cancer Radiotherapy Setup.

Hajime Oyoshi, Kazuto Kano, Kenji Hotta, Kouta Hirotaki

Abstract read
In one paragraph

Article in In vivo (Athens, Greece). 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

4 authors.

Hajime OyoshiDepartment of Radiological Technology, National Cancer Center Hospital East, Chiba, Japan.
Kazuto KanoDepartment of Radiology, National Hospital Organization Saitama Hospital, Saitama, Japan.
Kenji HottaRadiation Safety and Quality Assurance Division, National Cancer Center Hospital East, Chiba, Japan.
Kouta HirotakiDepartment of Radiological Technology, National Cancer Center Hospital East, Chiba, Japan; khirotak@east.ncc.go.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimSurface-guided radiation therapy (SGRT) is being increasingly applied in cancer radiotherapy to support markerless setup, respiratory management, and intrafraction surface monitoring. When computed tomography (CT)-derived digital imaging and communications in medicine (DICOM) surfaces are imported into SGRT systems, the CT threshold used for external-contour generation may introduce systematic online delta values following image-guided setup correction. This phantom-based study investigated practical CT-threshold selection for accurate AlignRT-guided surface monitoring in cancer radiotherapy. MATERIALS AND

methodsTwo independent TrueBeam-AlignRT configurations were considered, one equipped with HD cameras and the other with Horizon cameras, using a cube phantom and an anthropomorphic thoracic phantom. External contours were generated for CT thresholds from -150 to -750 Hounsfield units (HU) in 100-HU increments. Following a cone-beam CT-based setup process and six-degree-of-freedom correction, DICOM surface selection was performed. AlignRT real-time delta values were recorded 2-5 s after surface selection. Additional technical analyses assessed the delta-value dependence on the treatment planning system, field-of-view/in-plane pixel size, and CT acquisition position under restricted conditions.

resultsVariation of the CT threshold had little apparent effect on the lateral and longitudinal delta values; however, the vertical delta values were more threshold-dependent. Lower thresholds, particularly of -550 to -750 HU, generally produced smaller vertical delta values. For the cube phantom and both system configurations, a -650-HU threshold yielded the smallest vertical delta value. For the thoracic phantom, comparable performance was observed for thresholds of -550, -650, and -750 HU; thus, a single universal optimum could not be defined.

conclusionCT-threshold selection influences CT-derived DICOM surface generation for AlignRT-guided cancer radiotherapy, particularly in the vertical direction. A threshold of approximately -650 HU may be a practical starting point for similar workflows; however, institution-specific commissioning is required before clinical implementation.

Indexed as

NeoplasmsRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedTomography, X-Ray ComputedCone-Beam Computed TomographyHumansImage Processing, Computer-AssistedPhantoms, ImagingAlignRTcancer radiotherapy setupcomputed tomography thresholdDICOM surfaceSurface-guided radiation therapysurface monitoring

Identifiers

PMID42665376
PMCPMC13531135

What OpenQuestion holds

Textmetadata
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.