Evidence map›Paper›PMID 37824821›Full record

Trial reportMedical physics2023

Audit of data from examination image headers collected for quality assurance in the ECOG-ACRIN EA1151 tomosynthesis mammographic imaging screening trial (TMIST).

Aili K Maki, Gordon E Mawdsley, James G Mainprize, Etta Pisano, Sam Z Shen, Olivier Alonzo-Proulx, Martin J Yaffe

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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 at 3 institutions in 2 countries.

Aili K MakiPhysical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada.
Gordon E MawdsleyPhysical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada.
James G MainprizePhysical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada.
Etta PisanoThe American College of Radiology, Philadelphia, Pennsylvania, USA.
Sam Z ShenPhysical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada.
Olivier Alonzo-ProulxPhysical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada.
Martin J YaffePhysical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada.
Sunnybrook Health Science Centre · CASunnybrook Research InstituteAmerican College of Physicians · US

Funding

ECOG-ACRIN NCORP Research Base - TMISTUG1CA189828 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer, MITCHELL D. SCHNALL · 2014 to 2026
$199.7M
National Cancer Institute of the National Institutes of Health through the NCORP Program UG1CA189828NCI NIH HHS UG1 CA189828
6 · The paper itself

Abstract

purposeA comprehensive, centrally-monitored physics quality control (QC) program was developed for the Tomosynthesis Imaging Screening Trial (TMIST), a randomized controlled trial of digital breast tomosynthesis (TM) versus digital mammography (DM) for cancer screening. As part of the program, in addition to a set of phantom-based tests, de-identified data on image acquisition and processing parameters were captured from the DICOM headers of all individual patient images in the trial. These data were analyzed to assess the potential usefulness of header data from digital mammograms and tomosynthesis images of patients for quality assurance in breast imaging.

methodsData were automatically extracted from the headers of all de-identified patient mammograms and tomosynthesis images in the TMIST study. Image acquisition parameters and estimated radiation doses were tracked for individual sites, systems and across system types. These parameters included (among others) kV, target/filter use, number of acquired views per examination, AEC mode, compression thickness and force and detector temperature. Consistency of manually entered study data parameters (subject ID, screening time-point) from TMIST was evaluated. Preliminary observations from the program are presented.

resultsWe report on data from 812 651 images from 135 525 examinations acquired between October, 2017 and December, 2022. Data came from 6 system models from 3 manufacturers. There was greater variability both in the number of views used and in the estimated (proxy) doses received in DM exams compared to TM. Mean proxy doses per examination varied among manufacturers from 2.76-4.54 mGy for DM and 3-4.84 mGy for the tomosynthesis component in the TM arm with maximum examination proxy doses of 20 and 26 mGy for DM and TM respectively. Mean proxy doses per examination for the combination examination in TM (tomosynthesis plus digital mammography) varied from 6.6 to 7.6 mGy among manufacturers with a maximum of 44.5 mGy.

conclusionsOverall, modern digital mammography and tomosynthesis systems used in TMIST have operated very reliably. Doses vary considerably due to variation in the number of views per examination, thickness and fibro-glandularity of the breast, and choices in the use of synthesized versus actual 2D mammography in the TM examination. These data may also be useful in predicting equipment problems. Header information is valuable not only for automated QC, but also for cross-checking accuracy and consistency of data in a clinical study.

Indexed as

Breast NeoplasmsEarly Detection of CancerBreastFemaleHumansMammographyPhantoms, ImagingRadiation Dosagedigital mammographymean glandular dosequality controltomosynthesis

Identifiers

PMID37824821
PMCPMC11332657
OpenAlexW4387581621

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.