Evidence map›Paper›PMID 28262519›Full record

ArticleAcademic radiology2017

Estimation of Observer Performance for Reduced Radiation Dose Levels in CT: Eliminating Reduced Dose Levels That Are Too Low Is the First Step.

Joel G Fletcher, Lifeng Yu, Jeff L Fidler, David L Levin, David R DeLone, David M Hough, Naoki Takahashi, Sudhakar K Venkatesh, Anne-Marie G Sykes, Darin White and 10 more

Abstract read
In one paragraph

Article in Academic radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
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  6. Article
  7. State-of-the-Art Deep Learning CT Reconstruction Algorithms in Abdominal Imaging.Radiographics : a review publication of the Radiological Society of North America, Inc · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Observational
  18. A training program to reduce reader search errors for liver metastasis detection in CT.Proceedings of SPIE--the International Society for Optical Engineering · 2023
    Article
  19. Article
  20. Review
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

20 authors.

Joel G FletcherDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905. Electronic address: fletcher.joel@mayo.edu.
Lifeng YuDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
Jeff L FidlerDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
David L LevinDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
David R DeLoneDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
David M HoughDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
Naoki TakahashiDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
Sudhakar K VenkateshDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
Anne-Marie G SykesDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
Darin WhiteDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
Rebecca M LindellDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
Amy L KotsenasDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
Norbert G CampeauDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
Vance T LehmanDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
Adam C BartleyDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.
Shuai LengDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.
David R HolmesDepartment of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota.
Alicia Y ToledanoBiostatistics Consulting, LLC, Kensington, Maryland.
Rickey E CarterDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.
Cynthia H McColloughDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905.

Funding

Trade-offs in human observer performance, image quality metrics, and patient doseR01EB017095 · NIBIB · MAYO CLINIC ROCHESTER · PI Hao Gong, Cynthia H McCollough · 2012 to 2026
$7.0M
Critical resources to evaluate CT scan techniques and dose reduction approachesU01EB017185 · NIBIB · MAYO CLINIC ROCHESTER · PI MCCOLLOUGH, CYNTHIA H · 2013 to 2016
$3.6M
NIBIB NIH HHS R01 EB017095NIBIB NIH HHS U01 EB017185
6 · The paper itself

Abstract

RATIONALE AND

objectivesThis study aims to estimate observer performance for a range of dose levels for common computed tomography (CT) examinations (detection of liver metastases or pulmonary nodules, and cause of neurologic deficit) to prioritize noninferior dose levels for further analysis. MATERIALS AND

methodsUsing CT data from 131 examinations (abdominal CT, 44; chest CT, 44; head CT, 43), CT images corresponding to 4%-100% of the routine clinical dose were reconstructed with filtered back projection or iterative reconstruction. Radiologists evaluated CT images, marking specified targets, providing confidence scores, and grading image quality. Noninferiority was assessed using reference standards, reader agreement rules, and jackknife alternative free-response receiver operating characteristic figures of merit. Reader agreement required that a majority of readers at lower dose identify target lesions seen by the majority of readers at routine dose.

resultsReader agreement identified dose levels lower than 50% and 4% to have inadequate performance for detection of hepatic metastases and pulmonary nodules, respectively, but could not exclude any low dose levels for head CT. Estimated differences in jackknife alternative free-response receiver operating characteristic figures of merit between routine and lower dose configurations found that only the lowest dose configurations tested (ie, 30%, 4%, and 10% of routine dose levels for abdominal, chest, and head CT examinations, respectively) did not meet criteria for noninferiority. At lower doses, subjective image quality declined before observer performance. Iterative reconstruction was only beneficial when filtered back projection did not result in noninferior performance.

conclusionOpportunity exists for substantial radiation dose reduction using existing CT technology for common diagnostic tasks.

Indexed as

Radiation DosageFemaleHumansLiver NeoplasmsMaleMultiple Pulmonary NodulesObserver VariationRadiographic Image Interpretation, Computer-AssistedROC CurveTomography, X-Ray ComputedCTiterative reconstructionobserver performanceradiation doseradiation dose reduction

Identifiers

PMID28262519
PMCPMC6481673

What OpenQuestion holds

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Registered trials

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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.