Evidence map›Paper›PMID 38575187›Full record

ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2024

ISIT-QA: In Silico Imaging Trial to Evaluate a Low-Count Quantitative SPECT Method Across Multiple Scanner-Collimator Configurations for

Zekun Li, Nadia Benabdallah, Jingqin Luo, Richard L Wahl, Daniel L J Thorek, Abhinav K Jha

Abstract read
In one paragraph

Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Zekun LiDepartment of Biomedical Engineering, Washington University, St. Louis, Missouri.
Nadia BenabdallahMallinckrodt Institute of Radiology, Washington University, St. Louis, Missouri.
Jingqin LuoSiteman Cancer Center, Washington University, St. Louis, Missouri.
Richard L WahlMallinckrodt Institute of Radiology, Washington University, St. Louis, Missouri.
Daniel L J ThorekDepartment of Biomedical Engineering, Washington University, St. Louis, Missouri.
Abhinav K JhaDepartment of Biomedical Engineering, Washington University, St. Louis, Missouri; a.jha@wustl.edu.

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI AIMEE S JAMES · 2001 to 2026
$128.0M
Validation and dissemination of novel physical phantoms for quantitative theranostics researchR01EB031962 · NIBIB · WASHINGTON UNIVERSITY · PI JHA, ABHINAV K · 2022 to 2025
$2.4M
A no-gold-standard framework to objectively evaluate quantitative imaging methods with patient dataR01EB031051 · NIBIB · WASHINGTON UNIVERSITY · PI JHA, ABHINAV K · 2021 to 2025
$2.1M
NCI NIH HHS P30 CA091842NIBIB NIH HHS R01 EB031051NIBIB NIH HHS R01 EB031962
6 · The paper itself

Abstract

Personalized dose-based treatment planning requires accurate and reproducible noninvasive measurements to ensure safety and effectiveness. Dose estimation using SPECT is possible but challenging for alpha (α)-particle-emitting radiopharmaceutical therapy (α-RPT) because of complex γ-emission spectra, extremely low counts, and various image-degrading artifacts across a plethora of scanner-collimator configurations. Through the incorporation of physics-based considerations and skipping of the potentially lossy voxel-based reconstruction step, a recently developed projection-domain low-count quantitative SPECT (LC-QSPECT) method has the potential to provide reproducible, accurate, and precise activity concentration and dose measures across multiple scanners, as is typically the case in multicenter settings. To assess this potential, we conducted an in silico imaging trial to evaluate the LC-QSPECT method for a

Indexed as

Computer SimulationRadiopharmaceuticalsRadiumTomography, Emission-Computed, Single-PhotonHumansImage Processing, Computer-AssistedMaleQuality ControlReproducibility of ResultsRadiopharmaceuticalsRadiumRadium-223in silico imaging triallow-count quantitative SPECTreproducibilitytheranosticsα-particle–emitting radiopharmaceutical therapy

Identifiers

PMID38575187
PMCPMC11064831

What OpenQuestion holds

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LicenceCC BY
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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.