Evidence map›Paper›PMID 40302994›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2025

Quantitative Accuracy of CT Protocols for Cross-sectional and Longitudinal Assessment of COPD: A Virtual Imaging Study.

Mridul Bhattarai, Daniel W Shin, Fong Chi Ho, Saman Sotoudeh-Paima, Ilmar Hein, Steven Ross, Naruomi Akino, Kirsten L Boedeker, Ehsan Samei, Ehsan Abadi

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Mridul BhattaraiCenter for Virtual Imaging Trials, Department of Radiology, Duke University, Durham, USA.
Daniel W ShinCanon Medical Systems, Otawara, Japan.
Fong Chi HoCenter for Virtual Imaging Trials, Department of Radiology, Duke University, Durham, USA.
Saman Sotoudeh-PaimaCenter for Virtual Imaging Trials, Department of Radiology, Duke University, Durham, USA.
Ilmar HeinCanon Medical Systems, Otawara, Japan.
Steven RossCanon Medical Systems, Otawara, Japan.
Naruomi AkinoCanon Medical Systems, Otawara, Japan.
Kirsten L BoedekerCanon Medical Systems, Otawara, Japan.
Ehsan SameiCenter for Virtual Imaging Trials, Department of Radiology, Duke University, Durham, USA.
Ehsan AbadiCenter for Virtual Imaging Trials, Department of Radiology, Duke University, Durham, 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
Accuracy and Precision in CT Quantification of COPD Through Virtual Imaging TrialsR01HL155293 · NHLBI · DUKE UNIVERSITY · PI ABADI, EHSAN · 2021 to 2025
$2.2M
NHLBI NIH HHS R01 HL155293NIBIB NIH HHS P41 EB028744NIBIB NIH HHS R01 EB001838
6 · The paper itself

Abstract

Chronic obstructive pulmonary disease (COPD), encompassing chronic bronchitis and emphysema, requires precise quantification through CT imaging to accurately assess disease severity and progression. However, inconsistencies in imaging protocols often lead to unreliable measurements. This study aims to optimize CT acquisition and reconstruction protocols for cross-sectional and longitudinal CT measurements of COPD using a virtual (

Indexed as

chronic bronchitisChronic obstructive pulmonary diseaseemphysemavirtual imaging frameworkXCAT

Identifiers

PMID40302994
PMCPMC12035825

What OpenQuestion holds

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Registered trials

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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.