Evidence map›Paper›PMID 31442324›Full record

ArticleMedical physics2019

Organ doses from CT localizer radiographs: Development, validation, and application of a Monte Carlo estimation technique.

Jocelyn Hoye, Shobhit Sharma, Yakun Zhang, Wanyi Fu, Francesco Ria, Anuj Kapadia, W Paul Segars, Joshua Wilson, Ehsan Samei

Open access · greenAbstract readValidation Study
In one paragraph

Article in Medical physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. A Preliminary Study of Personalized Head CT Scan in Pediatric Patients.Dose-response : a publication of International Hormesis Society
    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

9 authors at 2 institutions in 1 country.

Jocelyn HoyeCarl E. Ravin Advanced Imaging Laboratories, Medical Physics Graduate Program, Duke University, 2424 Erwin Rd, Suite 302, Durham, NC, 27705, USA.
Shobhit SharmaDepartment of Physics, Carl E. Ravin Advanced Imaging Laboratories, 2424 Erwin Rd, Suite 302, Durham, NC, 27705, USA.
Yakun ZhangClinical Imaging Physics Group, Carl E. Ravin Advanced Imaging Laboratories, 2424 Erwin Rd, Suite 302, Durham, NC, 27705, USA.
Wanyi FuDepartment of Electrical and Computer Engineering, Carl E. Ravin Advanced Imaging Laboratories, 2424 Erwin Rd, Suite 302, Durham, NC, 27705, USA.
Francesco RiaClinical Imaging Physics Group, Carl E. Ravin Advanced Imaging Laboratories, 2424 Erwin Rd, Suite 302, Durham, NC, 27705, USA.
Anuj KapadiaDepartments of Radiology and Physics, Medical Physics Graduate Program, Carl E. Ravin Advanced Imaging Laboratories, 2424 Erwin Rd, Suite 302, Durham, NC, 27705, USA.
W Paul SegarsDepartments of Radiology, Biomedical Engineering, Medical Physics Graduate Program, Carl E. Ravin Advanced Imaging Laboratories, 2424 Erwin Rd, Suite 302, Durham, NC, 27705, USA.
Joshua WilsonMedical Physics Graduate Program, Clinical Imaging Physics Group, 2424 Erwin Rd, Suite 302, Durham, NC, 27705, USA.
Ehsan SameiMedical Physics Graduate Program, Clinical Imaging Physics Group, Carl E. Ravin Advanced Imaging Laboratories, 2424 Erwin Rd, Suite 302, Durham, NC, 27705, USA.
Advanced Imaging Research (United States) · USDurham VA Medical Center · US

Funding

Simulation Tools for Dynamic CTR01EB001838 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI SAMEI, EHSAN, SEGARS, WILLIAM P · 2005 to 2023
$6.9M
NIBIB NIH HHS R01 EB001838NIH HHS R01EB-001838
6 · The paper itself

Abstract

purposeThe purpose of this study was to simulate and validate organ doses from different computed tomography (CT) localizer radiograph geometries using Monte Carlo methods for a population of patients.

methodsA Monte Carlo method was developed to estimate organ doses from CT localizer radiographs using PENELOPE. The method was validated by comparing dosimetry estimates with measurements using an anthropomorphic phantom imbedded with thermoluminescent dosimeters (TLDs) scanned on a commercial CT system (Siemens SOMATOM Flash). The Monte Carlo simulation platform was then applied to conduct a population study with 57 adult computational phantoms (XCAT). In the population study, clinically relevant chest localizer protocols were simulated with the x-ray tube in anterior-posterior (AP), right lateral, and PA positions. Mean organ doses and associated standard deviations (in mGy) were then estimated for all simulations. The obtained organ doses were studied as a function of patient chest diameter. Organ doses for breast and lung were compared across different views and represented as a percentage of organ doses from rotational CT scans.

resultsThe validation study showed an agreement between the Monte Carlo and physical TLD measurements with a maximum percent difference of 15.5% and a mean difference of 3.5% across all organs. The XCAT population study showed that breast dose from AP localizers was the highest with a mean value of 0.24 mGy across patients, while the lung dose was relatively consistent across different localizer geometries. The organ dose estimates were found to vary across the patient population, partially explained by the changes in the patient chest diameter. The average effective dose was 0.18 mGy for AP, 0.09 mGy for lateral, and 0.08 mGy for PA localizer.

conclusionA platform to estimate organ doses in CT localizer scans using Monte Carlo methods was implemented and validated based on comparison with physical dose measurements. The simulation platform was applied to a virtual patient population, where the localizer organ doses were found to range within 0.4%-8.6% of corresponding organ doses for a typical CT scan, 0.2%-3.3% of organ doses for a CT pulmonary angiography scan, and 1.1%-20.8% of organ doses for a low-dose lung cancer screening scan.

Indexed as

Monte Carlo MethodRadiation DosageTomography, X-Ray ComputedAdultEarly Detection of CancerHumansLung NeoplasmsPhantoms, Imagingcomputed tomographydosimetrylocalizer radiographMonte Carlosimulation studytopogram

Identifiers

PMID31442324
PMCPMC7327952
OpenAlexW2969980328

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.