What’s New in Photon Counting CT?

May 31, 2026 · 4 articles · 4 research themes · covering May 24, 2026 – May 31, 2026

Overview

Across these studies and reviews, a clear theme is the push toward more information-rich CT—either by improving the physics of the scanner (photon-counting detectors) or by extracting more quantitative biomarkers from CT images.

Three of the four articles focus on photon-counting CT (PCD-CT/PCCT) and its potential advantages over conventional energy-integrating CT. Evidence ranges from a systematic review/trial sequential meta-analysis in multiple myeloma bone lesion imaging (assessing sharpness and radiation dose) to a retrospective clinical study showing improved inter-reader reproducibility of myocardial extracellular volume (ECV) using a single-scan virtual noncontrast method derived from photon-counting CT in patients where standard two-scan subtraction can be problematic. Complementing these clinical directions, a phantom study tests an ultra-high-resolution, ultra-low-dose PCD-CT protocol for pulmonary nodule detection and volumetric accuracy, supporting the feasibility of dose-efficient nodule assessment.

The remaining article broadens the lens to advanced quantitative CT for coronary artery disease, emphasizing that moving beyond stenosis-only evaluation toward integrated plaque quantification and FFR-CT–based physiology can improve efficiency, reproducibility, and risk stratification for major adverse cardiovascular events. Together, the work suggests a convergence: next-generation CT hardware (photon counting) paired with next-generation quantitative analytics (AI-QCT and FFR-CT) to make imaging more reliable, reproducible, and clinically actionable.

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Photon-Counting CT vs Conventional CT (Dose & Image Quality)

Photon-counting detector computed tomography (PCD-CT) in multiple myeloma: a systematic review and trial sequential meta-analysis on image quality and radiation dose.

This systematic review and trial sequential meta-analysis compared photon-counting detector CT (PCD-CT) versus energy-integrating detector CT (EID-CT) for image sharpness and radiation dose (CTDIvol) in patients with bone lesions from multiple myeloma (MM). Across five included studies (n=170), the authors assessed methodological quality (ROBINS-I) and certainty of evidence (GRADE) to determine whether PCD-CT improves image quality and/or reduces dose relative to EID-CT. If supported by the pooled results, PCD-CT could provide a more dose-efficient CT option for MM lesion imaging and help standardize imaging protocols for future trials.

Ohannesian VA, Taneja BC, do Amaral E Castro A et al. · Skeletal radiology · (2026) · View on PubMed ↗

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Photon-Counting CT for Cardiac Tissue Characterization (ECV/Virtual Noncontrast)

Virtual Noncontrast Images Derived From Photon-Counting CT Enhance Inter-Reader Reproducibility of Myocardial ECV Measurement in Patients With Cardiac Devices.

This retrospective study evaluated whether a single-scan virtual noncontrast (VNC) method derived from photon-counting CT (PCCT) improves inter-reader reproducibility of left-ventricular extracellular volume (ECV) measurement compared with the standard subtraction method in 59 patients, including those with atrial fibrillation (AF) and cardiac implantable electronic devices (CIEDs) or prosthetic valves. The key finding was that PCCT-derived VNC images enhanced inter-reader reproducibility of myocardial ECV quantification in these challenging populations. More reproducible ECV measurement could improve the reliability of CT-based myocardial characterization for patients where misregistration limits conventional two-scan approaches.

Yamakami Y, Hirasawa K, Hada H et al. · Journal of computer assisted tomography · (2026) · View on PubMed ↗

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Ultra-Low-Dose Photon-Counting CT for Pulmonary Nodule Detection & Quantification

Impact of Ultra-Low-Dose Imaging on Image Quality and Volumetric Accuracy of Different Subtypes of Pulmonary Nodules using Photon-Counting Detector CT: A Phantom Study.

This phantom study tested an ultra-high-resolution photon-counting detector CT (UHR PCD-CT) protocol combining ultra-low-dose scanning to assess detection rate, image quality metrics (noise SD, SNR, CNR), and volumetric accuracy of pulmonary nodules across different sizes and subtypes. Using a thoracic phantom with 15 nodule models scanned at five dose levels, the investigators quantified how dose reduction affected nodule diameter and AI software–based volume measurements. Demonstrating acceptable image quality and volumetric accuracy at ultra-low dose would support safer PCD-CT protocols for pulmonary nodule assessment in clinical practice.

Wang Y, Zhou Y, Lei L et al. · The British journal of radiology · (2026) · View on PubMed ↗

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Advanced Quantitative CT for Coronary Artery Disease (Plaque, Stenosis, FFR-CT)

Advanced Quantitative CT for Coronary Artery Disease: Integrating Stenosis-, Plaque Quantification, and FFR-CT.

This narrative review examined advanced quantitative CT approaches for coronary artery disease (CAD), focusing on integrating coronary stenosis assessment, plaque quantification, and FFR-CT derived from cardiac CT angiography (CCTA). The key finding was that AI-based quantitative CT (AI-QCT) can provide more efficient and reproducible plaque biomarker analysis than stenosis-only evaluation, potentially improving risk stratification for major adverse cardiovascular events (MACE). Clinically, combining plaque quantification with stenosis metrics and FFR-CT could better guide management decisions beyond conventional CCTA interpretation.

Mihalcioiu S, Mengesha B, Abitbol C et al. · The British journal of radiology · (2026) · View on PubMed ↗ · Free PDF ↗

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Generated automatically on May 31, 2026. Covers PubMed articles published May 24, 2026 – May 31, 2026. Summaries are AI-generated; always consult the original publication for clinical or research decisions.