Evidence map›Paper›PMID 36710257›Full record

ReviewMedical physics2023

AAPM Task Group Report 238: 3D C-arms with volumetric imaging capability.

Mark Supanich, Jeff Siewerdsen, Rebecca Fahrig, Keyvan Farahani, Grace Jianan Gang, Pat Helm, Jan Jans, Kyle Jones, Thomas Koenig, Andrew Kuhls-Gilcrist and 9 more

Abstract readReview
In one paragraph

Review in Medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Observational
  2. Review
  3. Observational
  4. Article
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

19 authors.

Mark SupanichRush University Medical Center, Chicago, Illinois, USA.
Jeff SiewerdsenJohns Hopkins University, Baltimore, Maryland, USA.
Rebecca FahrigSiemens Healthineers, Forchheim, Germany.
Keyvan FarahaniNational Cancer Institute, Bethesda, Maryland, USA.
Grace Jianan GangJohns Hopkins University, Baltimore, Maryland, USA.
Pat HelmMedtronic Inc., Minneapolis, Minnesota, USA.
Jan JansPhilips Healthcare.
Kyle JonesUniversity of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Thomas KoenigZiehm Imaging GmbH, Nuremberg, Germany.
Andrew Kuhls-GilcristCanon Medical Systems USA, Long Beach, California, USA.
MingDe LinYale University, New Haven, Connecticut, USA.
Cyril RiddellGE Healthcare, Buc, France.
Ludwig RitschlSiemens Healthineers, Forchheim, Germany.
Sebastian SchaferSiemens Healthineers, Forchheim, Germany.
Beth SchuelerMayo Clinic, Rochester, Minnesota.
Mike SilverCanon Medical Systems USA, Long Beach, California, USA.
Jan TimmerPhilips Healthcare.
Yves TroussetGE Healthcare, Buc, France.
Jie ZhangUniversity of Kentucky, Lexington, Kentucky.

Funding

Quantitative Multimodal Imaging Biomarkers for Combined Locoregional and Immunotherapy of Liver CancerR01CA206180 · NCI · YALE UNIVERSITY · PI CHAPIRO, JULIUS, DUNCAN, JAMES S · 2016 to 2025
$6.1M
See, Reach, Treat Tumor-Optimized Transarterial Chemoembolization DrugDeliveryR01CA160771 · NCI · YALE UNIVERSITY · PI GESCHWIND, JEAN-FRANCOIS H, LIN, MINGDE · 2011 to 2015
$2.6M
NCI NIH HHS R01 CA160771NCI NIH HHS R01 CA206180
6 · The paper itself

Abstract

This report reviews the image acquisition and reconstruction characteristics of C-arm Cone Beam Computed Tomography (C-arm CBCT) systems and provides guidance on quality control of C-arm systems with this volumetric imaging capability. The concepts of 3D image reconstruction, geometric calibration, image quality, and dosimetry covered in this report are also pertinent to CBCT for Image-Guided Radiation Therapy (IGRT). However, IGRT systems introduce a number of additional considerations, such as geometric alignment of the imaging at treatment isocenter, which are beyond the scope of the charge to the task group and the report. Section 1 provides an introduction to C-arm CBCT systems and reviews a variety of clinical applications. Section 2 briefly presents nomenclature specific or unique to these systems. A short review of C-arm fluoroscopy quality control (QC) in relation to 3D C-arm imaging is given in Section 3. Section 4 discusses system calibration, including geometric calibration and uniformity calibration. A review of the unique approaches and challenges to 3D reconstruction of data sets acquired by C-arm CBCT systems is give in Section 5. Sections 6 and 7 go in greater depth to address the performance assessment of C-arm CBCT units. First, Section 6 describes testing approaches and phantoms that may be used to evaluate image quality (spatial resolution and image noise and artifacts) and identifies several factors that affect image quality. Section 7 describes both free-in-air and in-phantom approaches to evaluating radiation dose indices. The methodologies described for assessing image quality and radiation dose may be used for annual constancy assessment and comparisons among different systems to help medical physicists determine when a system is not operating as expected. Baseline measurements taken either at installation or after a full preventative maintenance service call can also provide valuable data to help determine whether the performance of the system is acceptable. Collecting image quality and radiation dose data on existing phantoms used for CT image quality and radiation dose assessment, or on newly developed phantoms, will inform the development of performance criteria and standards. Phantom images are also useful for identifying and evaluating artifacts. In particular, comparing baseline data with those from current phantom images can reveal the need for system calibration before image artifacts are detected in clinical practice. Examples of artifacts are provided in Sections 4, 5, and 6.

Indexed as

Cone-Beam Computed TomographyRadiometryImage Processing, Computer-AssistedImaging, Three-DimensionalPhantoms, Imaging

Identifiers

PMID36710257
PMCPMC11584023

What OpenQuestion holds

Textmetadata
LicenceTDM
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.