Evidence map›Paper›PMID 39369717›Full record

ReviewMedical physics2024

Toward widespread use of virtual trials in medical imaging innovation and regulatory science.

Ehsan Abadi, Bruno Barufaldi, Miguel Lago, Andreu Badal, Claudia Mello-Thoms, Nick Bottenus, Kristen A Wangerin, Mitchell Goldburgh, Lawrence Tarbox, Erica Beaucage-Gauvreau and 5 more

Abstract readReview
In one paragraph

Review in Medical physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. The Next Frontier in Quantitative Co-Clinical Imaging to Advance Functional Precision Oncology.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Iodine quantification performance with deep silicon-based Photon-Counting CT: A virtual imaging trial study.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2025
    Article
  13. 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

15 authors.

Ehsan AbadiCenter for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Departments of Radiology and Electrical & Computer Engineering, Medical Physics Graduate Program, Duke University, Durham, North Carolina, USA.
Bruno BarufaldiDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Miguel LagoDivision of Imaging, Diagnostics and Software Reliability, OSEL, CDRH, U.S. Food and Drug Administration, Silver Spring, Maryland, USA.
Andreu BadalDivision of Imaging, Diagnostics and Software Reliability, OSEL, CDRH, U.S. Food and Drug Administration, Silver Spring, Maryland, USA.
Claudia Mello-ThomsDepartment of Radiology, University of Iowa, Iowa City, Iowa, USA.
Nick BottenusDepartment of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado, USA.
Kristen A WangerinResearch and Development, Pharmaceutical Diagnostics, GE HealthCare, Marlborough, Massachusetts, USA.
Mitchell GoldburghNTT DATA Industry Solutions, Plano, Texas, USA.
Lawrence TarboxDepartment of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Erica Beaucage-GauvreauInstitute of Physics-based Modeling for in silico Health (iSi Health), KU Leuven, Leuven, Belgium.
Alejandro F FrangiChristabel Pankhurst Institute, Division of Informatics, Imaging and Data Sciences, Department of Computer Science, University of Manchester, Manchester, UK.
Andrew MaidmentDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Paul E KinahanDepartments of Radiology, Bioengineering, and Physics, University of Washington, Seattle, Washington, USA.
Hilde BosmansDepartments of Radiology and Medical Radiation Physics, KU Leuven, Leuven, Belgium.
Ehsan SameiCenter for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Departments of Radiology and Electrical & Computer Engineering, Medical Physics Graduate Program, Duke University, Durham, North Carolina, USA.

Funding

TR&D Project 3: Virtual ReadersP41EB028744 · NIBIB · DUKE UNIVERSITY · PI Ehsan Samei · 2021 to 2026
$7.8M
Simulation Tools for Dynamic CTR01EB001838 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI SAMEI, EHSAN, SEGARS, WILLIAM P · 2005 to 2023
$6.9M
Characterizing, optimizing, and harmonizing cancer detection with PET imagingR01CA258298 · NCI · UNIVERSITY OF WASHINGTON · PI Paul E. Kinahan · 2022 to 2026
$3.3M
Satisfaction of Search in Breast Cancer DetectionR01CA259048 · NCI · UNIVERSITY OF IOWA · PI HOLLINGWORTH, ANDREW R, MELLO-THOMS, CLAUDIA R · 2021 to 2025
$3.0M
Accuracy and Precision in CT Quantification of COPD Through Virtual Imaging TrialsR01HL155293 · NHLBI · DUKE UNIVERSITY · PI ABADI, EHSAN · 2021 to 2025
$2.2M
ERC Advanced INSILICO EP/Y030494/1NCI NIH HHS R01 CA258298NCI NIH HHS R01 CA259048NHLBI NIH HHS R01 HL155293NIBIB NIH HHS P41 EB028744NIBIB NIH HHS R01 EB001838NIH HHS P41EB028744NIH HHS R01CA259048NIH HHS R01EB001838NIH HHS R01HL155293Royal Academy of Engineering INSILEX CiET1919/19
6 · The paper itself

Abstract

The rapid advancement in the field of medical imaging presents a challenge in keeping up to date with the necessary objective evaluations and optimizations for safe and effective use in clinical settings. These evaluations are traditionally done using clinical imaging trials, which while effective, pose several limitations including high costs, ethical considerations for repetitive experiments, time constraints, and lack of ground truth. To tackle these issues, virtual trials (aka in silico trials) have emerged as a promising alternative, using computational models of human subjects and imaging devices, and observer models/analysis to carry out experiments. To facilitate the widespread use of virtual trials within the medical imaging research community, a major need is to establish a common consensus framework that all can use. Based on the ongoing efforts of an AAPM Task Group (TG387), this article provides a comprehensive overview of the requirements for establishing virtual imaging trial frameworks, paving the way toward their widespread use within the medical imaging research community. These requirements include credibility, reproducibility, and accessibility. Credibility assessment involves verification, validation, uncertainty quantification, and sensitivity analysis, ensuring the accuracy and realism of computational models. A proper credibility assessment requires a clear context of use and the questions that the study is intended to objectively answer. For reproducibility and accessibility, this article highlights the need for detailed documentation, user-friendly software packages, and standard input/output formats. Challenges in data and software sharing, including proprietary data and inconsistent file formats, are discussed. Recommended solutions to enhance accessibility include containerized environments and data-sharing hubs, along with following standards such as CDISC (Clinical Data Interchange Standards Consortium). By addressing challenges associated with credibility, reproducibility, and accessibility, virtual imaging trials can be positioned as a powerful and inclusive resource, advancing medical imaging innovation and regulatory science.

Indexed as

Diagnostic ImagingClinical Trials as TopicHumansInventionsReproducibility of Resultscomputational phantomscredibilityimaging simulatorsinformaticsin silico trialsmedical imaging simulationsreproducibilitysimulationsvirtual imaging trials

Identifiers

PMID39369717
PMCPMC11659034

What Socratic 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 Socratic graph.