Evidence map›Paper›PMID 28804729›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2017

Organ dose variability and trends in tomosynthesis and radiography.

Jocelyn Hoye, Yakun Zhang, Greeshma Agasthya, Greg Sturgeon, Anuj Kapadia, W Paul Segars, Ehsan Samei

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2017. 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. Article
  2. Article
  3. Article
  4. Article
  5. Modeling "Textured" Bones in Virtual Human Phantoms.IEEE transactions on radiation and plasma medical sciences · 2019
    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

7 authors.

Jocelyn HoyeDuke University, Carl E. Ravin Advanced Imaging Laboratories, Durham, North Carolina, United States.
Yakun ZhangDuke University, Carl E. Ravin Advanced Imaging Laboratories, Durham, North Carolina, United States.
Greeshma AgasthyaDuke University, Carl E. Ravin Advanced Imaging Laboratories, Durham, North Carolina, United States.
Greg SturgeonDuke University, Carl E. Ravin Advanced Imaging Laboratories, Durham, North Carolina, United States.
Anuj KapadiaDuke University, Carl E. Ravin Advanced Imaging Laboratories, Durham, North Carolina, United States.
W Paul SegarsDuke University, Carl E. Ravin Advanced Imaging Laboratories, Durham, North Carolina, United States.
Ehsan SameiDuke University, Carl E. Ravin Advanced Imaging Laboratories, Durham, North Carolina, United States.

Funding

Simulation Tools for Dynamic CTR01EB001838 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI SAMEI, EHSAN, SEGARS, WILLIAM P · 2005 to 2023
$6.9M
6 · The paper itself

Abstract

The purpose of this study was to investigate relationships between patient attributes and organ dose for a population of computational phantoms for 20 tomosynthesis and radiography protocols. Organ dose was estimated from 54 adult computational phantoms (age: 18 to 78 years, weight 52 to 117 kg) using a validated Monte-Carlo simulation (PENELOPE) of a system capable of performing tomosynthesis and radiography. The geometry and field of view for each exam were modeled to match clinical protocols. For each protocol, the energy deposited in each organ was estimated by the simulations, converted to dose units, and then normalized by exposure in air. Dose to radiosensitive organs was studied as a function of average patient thickness in the region of interest and as a function of body mass index. For tomosynthesis, organ doses were also studied as a function of x-ray tube position. This work developed comprehensive information for organ dose dependencies across a range of tomosynthesis and radiography protocols. The results showed a protocol-dependent exponential decrease with an increasing patient size. There was a variability in organ dose across the patient population, which should be incorporated in the metrology of organ dose. The results can be used to prospectively and retrospectively estimate organ dose for tomosynthesis and radiography.

Indexed as

doseMonte Carlopatient-specificradiationradiographytomosynthesis

Identifiers

PMID28804729
PMCPMC5551447

What OpenQuestion holds

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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.