Evidence map›Paper›PMID 41588631›Full record

ArticleJournal of applied clinical medical physics2026

Survey of normalized CTDI

Laura E Dinwiddie, Jared M Baggett, James M Kofler, Cameron B Kofler, Daniel J Long, Robert J Dawson, Stefan K Wehmeier, Yitian Wang, Juan C Ocampo-Ramos, Lukas M Carter and 4 more

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. MIRD Pamphlet No. 34, Part 2: Benchmarking of MIRDct Software for CT Organ Dose Estimation.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  2. Article
  3. MIRD Pamphlet No. 34, Part 1: MIRDct-A Customizable Software Tool for CT Dosimetry.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  4. Article
  5. Survey of normalized CTDIJournal of applied clinical medical physics · 2026
    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

14 authors.

Laura E DinwiddieJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida, USA.
Jared M BaggettMedical Physics Graduate Program, College of Medicine, University of Florida, Gainesville, Florida, USA.
James M KoflerDepartment of Radiology, Mayo Clinic, Jacksonville, Florida, USA.
Cameron B KoflerDepartment of Radiology, University of Chicago, Chicago, Illinois, USA.
Daniel J LongMemorial Sloan Kettering Cancer Center, New York, New York, USA.
Robert J DawsonMedical Physics Graduate Program, College of Medicine, University of Florida, Gainesville, Florida, USA.
Stefan K WehmeierMedical Physics Graduate Program, College of Medicine, University of Florida, Gainesville, Florida, USA.
Yitian WangJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida, USA.
Juan C Ocampo-RamosMD Anderson Cancer Center Department of Imaging Physics, Houston, Texas, USA.
Lukas M CarterMemorial Sloan Kettering Cancer Center, New York, New York, USA.
Harry MarquisMemorial Sloan Kettering Cancer Center, New York, New York, USA.
Gunjan KayalMemorial Sloan Kettering Cancer Center, New York, New York, USA.
Adam L KesnerMemorial Sloan Kettering Cancer Center, New York, New York, USA.
Wesley E BolchJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, Florida, USA.ORCID https://orcid.org/0000-0002-7175-9968

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
MIRDCalc – A Community Tool for Deriving and Reporting Patient Organ Doses in Nuclear Medicine, Computed Tomography, and Hybrid ImagingU01EB028234 · NIBIB · SLOAN-KETTERING INST CAN RESEARCH · PI BOLCH, WESLEY E, KESNER, ADAM LEON · 2019 to 2023
$3.2M
NCI NIH HHS P30 CA008748NIBIB NIH HHS U01 EB028234NIBIB NIH HHS U01 - EB028234
6 · The paper itself

Abstract

backgroundComputed tomography (CT) is an essential imaging modality for disease diagnosis, treatment efficacy, and image-based guidance of various medical procedures. The locally deposited radiation dose in tissues, as estimated by the computed tomography dose index (CTDI), can vary considerably across exposures delivered by CT scanners from different vendors, even if the scans are performed using similar technique factors, such as tube potential and tube current. The volumetric CTDI (CTDI PURPOSE: To develop a database of tube current-time product (mAs) normalized CTDI

methodsScanners were selected from four major CT manufacturers: Philips Healthcare, GE Healthcare, Canon Medical Systems, and Siemens Healthineers. Technique parameters were also selected for each scanner that closely matched values used in the generation of an equivalent CT source term (small to large bowtie filters; 80-140-kVp tube voltage; and 10-mm to 40-mm beam collimation). For each scanner chosen, the appropriate technique factors and protocols were selected, and the console-reported CTDI

resultsFor all given CT scanner and technique factor combinations, there was strong agreement in normalized CTDI

conclusionsA database of normalized CTDI

Indexed as

Image Processing, Computer-AssistedPhantoms, ImagingRadiation DosageRadiometrySoftwareTomography Scanners, X-Ray ComputedTomography, X-Ray ComputedHumansRadiotherapy Planning, Computer-Assistedcomputed tomography dose indexdose estimationdosimetry

Identifiers

PMID41588631
PMCPMC12835190

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.