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Cited by 305

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

Image Gently: Ten Steps You Can Take to Optimize Image Quality and Lower CT Dose for Pediatric Patients

Strauss, Keith J., Goske, Marilyn J., Kaste, Sue C., Bulas, Dorothy, Frush, Donald P., Butler, Priscilla, Morrison, Gregory, Callahan, Michael J., Applegate, Kimberly E.·2010·American Journal of Roentgenology

Abstract

AJR:194, April 2010 This article suggests 10 steps that radiologists and radiologic technologists, with the assistance of their medical physicist, can take to obtain good quality CT images while properly managing radiation dose for children undergoing CT. The first six steps ideally should be completed before performing any CT on a pediatric patient. The final four steps address the unique consideration that should be given for each scanned patient.

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Crossref · 10.2214/ajr.09.4091

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Metadata

Authors
Strauss, K. J., Goske, M. J., Kaste, S. C., Bulas, D., Frush, D. P., Butler, P., Morrison, G., Callahan, M. J., & Applegate, K. E.
Venue
American Journal of Roentgenology
Published
2010-04
Volume
194
Issue
4
Pages
868-873
ISSN
  • 0002-9580 (ISSN-L)
  • 0361-803X
  • 1546-3141
OpenAlex
W2056562339
Cited by
305
References
37
FWCI
24.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Image Gently: Ten Steps You Can Take to Optimize Image Quality and Lower CT Dose for Pediatric Patients. https://app.cochat.ai/papers/10.2214/ajr.09.4091
The paper
Strauss, K. J., Goske, M. J., Kaste, S. C., Bulas, D., Frush, D. P., Butler, P., Morrison, G., Callahan, M. J., & Applegate, K. E. (2010). Image Gently: Ten Steps You Can Take to Optimize Image Quality and Lower CT Dose for Pediatric Patients. American Journal of Roentgenology. https://doi.org/10.2214/ajr.09.4091

Data sources

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.