Evidence map›Paper›PMID 40894147›Full record

ArticlemedRxiv : the preprint server for health sciences2025

K-Edge Imaging Using a Clinical Dual-Source Photon-Counting CT System.

Martin V Rybertt, Leening P Liu, Pooyan Sahbaee, Tristan Nowak, Manoj Mathew, Harold I Litt, David P Cormode, Ali H Dhanaliwala, Peter B Noël

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Martin V RyberttDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Leening P LiuDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0003-0560-5394
Pooyan SahbaeeSiemens Healthineers, Malvern, PA 19355, USA.
Tristan NowakSiemens Healthineers AG, Siemensstr. 3, 91301 Forchheim, Germany.
Manoj MathewDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Harold I LittDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
David P CormodeDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Ali H DhanaliwalaDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Peter B NoëlDepartment of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA.

Funding

Patient-specific, high-sensitivity spectral CT for assessment of pancreatic cancerR01EB030494 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI GANG, JIANAN GRACE, NOËL, PETER B · 2021 to 2024
$2.4M
Ultra-high spatial resolution photon-counting CT with multiple focal spotsR01EB035908 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI Peter B Noel, JOSEPH Webster STAYMAN · 2025 to 2026
$1.2M
NIBIB NIH HHS R01 EB030494NIBIB NIH HHS R01 EB035908
6 · The paper itself

Abstract

Purpose: To evaluate the feasibility and performance of K-edge imaging of iodine (I) and gadolinium (Gd) on a clinically available photon-counting computed tomography (PCCT) system. Methods: A dual-source clinical PCCT scanner with four energy thresholds (20, 55, 72, 90 keV) was used to scan phantoms containing pure and mixed solutions of I and Gd across multiple concentrations (1-10 mg/mL) and radiation doses (1-8 mGy). Multi-material decomposition was performed using a calibration-based, image-domain algorithm to generate material-specific maps. Quantitative accuracy was assessed using Bland-Altman analysis and contrast-to-noise ratio (CNR), while noise and bias trends were statistically analyzed using non-parametric tests. Results: K-edge imaging was successfully achieved on a clinical PCCT system with accurate decomposition of I and Gd across varying concentrations, solution types (pure/mixed), and dose levels. Quantitative bias was significantly influenced by radiation dose, concentration, and solution type (p < 0.0004). Increased radiation dose and contrast concentration improved quantification accuracy, with maximum bias reductions of 0.9 (I) and 0.3 mg/mL (Gd). CNR correlated linearly with concentration (R Conclusion: This study establishes the feasibility of K-edge imaging using a clinical PCCT system and demonstrates accurate, simultaneous decomposition of I and Gd in pure and mixed solutions. These findings support the clinical translation of K-edge imaging and highlight PCCT's potential for advanced dual-contrast and molecular imaging applications.

Indexed as

Dual-contrast imagingK-edge imagingMaterial decompositionPhoton-counting CT

Identifiers

PMID40894147
PMCPMC12393656

What Socratic 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 Socratic graph.