What’s New in Photon Counting CT?

October 24, 2026 · 7 articles · 7 research themes · covering October 17, 2026 – October 24, 2026

Overview

Across this week’s set of studies, photon-counting CT (PCCT) emerges as a platform for both improved image quality and more informative quantitative imaging. Evidence ranges from head-to-head comparisons of non-contrast neuro CT using deep-learning reconstruction (showing relative advantages in diagnostic image characteristics) to anatomical and biomarker-focused work in carotid body visualization and rectal cancer response assessment. Together, these papers emphasize that PCCT’s detector physics—paired with reconstruction advances—can translate into clearer structures and potentially more reliable quantitative biomarkers.

Clinical translation themes are also prominent. In cardiology, a case report demonstrates how PCCT can reveal high-risk, lipid-rich-appearing coronary plaque even when standard biomarkers are negative, enabling downstream invasive confirmation and risk stratification. In the abdomen, a prospective randomized trial operationalizes PCCT-based gas-negative-contrast gastric virtual endoscopy-like imaging by testing nurse-led preparation strategies, directly informing practical workflow standardization. Finally, the broader cardiac CT review positions CCTA as increasingly central across the coronary disease spectrum, reflecting how advances in acquisition and reconstruction are expanding cardiac CT from rule-out testing toward comprehensive cardiovascular characterization.

On the biomarker and evidence-integration front, the chronic subdural hematoma (cSDH) state-of-practice statement highlights a key bottleneck: imaging phenotypes linked to recurrence risk and neomembrane activity are promising but not yet standardized or validated for trial incorporation. This call for harmonized definitions parallels the quantitative PCCT efforts in rectal cancer, underscoring a shared direction in the field—moving from novel imaging signals toward validated, reproducible biomarkers that can guide patient selection and treatment decisions.

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Photon-Counting CT (PCCT) Image Quality & Reconstruction

Image Quality of Non-Contrast Neurological Images on Energy-Integrating versus Silicon Photon-Counting Detector CT.

This study compared image quality of non-contrast neurological CT using a commercially available energy-integrating detector (EID) CT (Apex CT, GE HealthCare) versus a prototype deep silicon photon-counting CT (dSi-PCCT) with deep-learning (DL) reconstruction in two cohorts of scanned subjects. Neuroradiologists rated PCCT (with DL reconstruction) versus EID-CT on sharpness, noise, artifacts, gray–white matter differentiation, and structural confidence in the lentiform nucleus/insula, with the key finding being the relative image-quality performance of the photon-counting approach for non-contrast neuro imaging. These results support the clinical translation of photon-counting CT hardware and DL reconstruction to improve diagnostic confidence in routine non-contrast brain CT workflows.

Salyapongse AM, Avey GD, Fink J et al. · AJNR. American journal of neuroradiology · (2026) · View on PubMed ↗

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Photon-Counting CT for Coronary Plaque Vulnerability

PCCT and IVUS-NIRS for High-Risk Plaque Management.

This case report evaluated photon-counting computed tomography (PCCT) and intravascular ultrasound with near-infrared spectroscopy (IVUS-NIRS) for identifying high-risk coronary plaque in a 59-year-old woman with acute chest pain, mild ischemic ECG changes, and negative high-sensitivity troponin. PCCT showed a predominantly noncalcified, lipid-rich-appearing left anterior descending artery plaque despite a low-risk clinical profile, and subsequent angiography plus IVUS-NIRS confirmed a high-risk plaque phenotype with a high lipid core burden. The report highlights how PCCT can flag vulnerable plaque anatomy for downstream invasive characterization and risk stratification when standard biomarkers are negative.

Nguyen CD, Pham DC, Quynh Tran HT et al. · JACC. Case reports · (2026) · View on PubMed ↗ · Free PDF ↗

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PCCT Virtual Endoscopy & Gastric Imaging Protocols

Nurse-Led Gastric Preparation for Gas-Negative-Contrast Volume-Rendered Three-Dimensional Virtual Endoscopy-Like Gastric Imaging on Photon-Counting CT: A Prospective Randomized Clinical Study.

This prospective randomized clinical trial studied nurse-led gastric preparation strategies for photon-counting CT (PCCT)-based gas-negative-contrast volume-rendered (gas-VRT) virtual endoscopy-like gastric imaging in 120 patients undergoing contrast-enhanced abdominal CT. Across four arms (PCCT-3 g, PCCT-6 g, EID-6 g, and PCCT-3 g plus water), the key finding was the effect of effervescent powder dose and water-assisted preparation on image quality and preparation performance for PCCT gas-VRT gastric imaging. The results inform practical, standardized nursing protocols to optimize PCCT-derived gastric visualization while leveraging PCCT image-quality advantages.

Xiong PJ, Liu L, Jiang KX et al. · Academic radiology · (2026) · View on PubMed ↗ · Free PDF ↗

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Imaging Biomarkers for Chronic Subdural Hematoma (cSDH)

ASFNR Clinical State of Practice Statement on Imaging of Chronic Subdural Hematoma.

This American Society of Functional Neuroradiology (ASFNR) clinical state-of-practice statement reviewed current imaging approaches for chronic subdural hematoma (cSDH), focusing on imaging biomarkers such as hematoma internal architecture (imaging phenotype) that may reflect neomembrane activity and recurrence risk in patients considered for middle meningeal artery embolization (MMAE). The key finding is that imaging phenotype has not yet been standardized or validated for incorporation into randomized trials or treatment-selection algorithms, and the statement calls for standardized definitions and reporting. This is clinically significant because it provides a framework to harmonize imaging biomarkers that could improve patient selection and outcome prediction for cSDH therapies like MMAE.

Ahmed S, Essibayi MA, Kakadiya J et al. · AJNR. American journal of neuroradiology · (2026) · View on PubMed ↗

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Cardiac CT Clinical Applications & Emerging Directions

The evolving role of cardiac CT: Emerging technologies and clinical impact.

This review article assessed the evolving role of cardiac CT, including coronary CT angiography (CCTA) and emerging technologies, in patients across the spectrum of coronary artery disease, myocardial disease, valvular disease, and structural heart disease. The key finding is that CCTA is increasingly endorsed as a first-line test in appropriately selected patients with stable chest pain or suspected chronic coronary syndromes because it can exclude obstructive disease, quantify atherosclerotic burden, and guide preventive and referral decisions for invasive angiography. Scientifically and clinically, it frames how advances in cardiac CT acquisition and reconstruction are expanding cardiac CT from a rule-out tool to a comprehensive cardiovascular imaging platform.

Oda S, Iima M, Yanagawa M et al. · Diagnostic and interventional imaging · (2026) · View on PubMed ↗ · Free PDF ↗

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Photon-Counting CT for Head-and-Neck Anatomy (Carotid Body)

Carotid Body Detection Rate and Size on Photon-Counting Versus Energy-Integrating Detector CT.

This retrospective study compared carotid body (CB) detection rate and measured size on photon-counting CT (PCCT) versus energy-integrating detector CT (EIDCT) in 48 adults undergoing head-and-neck CTA on both arterial and venous phases. Using mixed-effects models to analyze detection (logistic) and size (linear), the key finding was the relative performance of PCCT versus EIDCT for CB visualization, including how laterality and contrast phase influenced detection and size estimates. These findings are significant for optimizing noninvasive imaging of carotid body anatomy and potentially improving phenotyping in conditions where CB assessment is clinically relevant.

Unger RH, Arizono E, Buch K et al. · AJNR. American journal of neuroradiology · (2026) · View on PubMed ↗

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Quantitative PCCT Biomarkers for Cancer Response (Rectal Adenocarcinoma)

Photon-counting computed tomography and magnetic resonance imaging in rectal cancer: reassessment of normalized iodine concentration and apparent diffusion coefficient in an expanded cohort.

This retrospective study reassessed pretreatment photon-counting CT (PCCT)-derived normalized iodine concentration (NIC) in 63 patients with rectal adenocarcinoma, using MRI-derived apparent diffusion coefficient (ADC) as a within-cohort reference marker for treatment response after neoadjuvant therapy and surgery. The key finding was how PCCT NIC relates to MRI ADC and differentiates poor response (Dworak 0–1) versus moderate/good response (Dworak 2–4) in an expanded cohort. Clinically, it supports refining PCCT-based quantitative biomarkers for predicting histopathologic response in rectal cancer to better tailor neoadjuvant management.

Saeed S, Shahzadi I, Niehoff JH et al. · Abdominal radiology (New York) · (2026) · View on PubMed ↗ · Free PDF ↗

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Generated automatically on October 24, 2026. Covers PubMed articles published October 17, 2026 – October 24, 2026. Summaries are AI-generated; always consult the original publication for clinical or research decisions.