What’s New in Photon Counting CT?

October 25, 2026 · 8 articles · 12 research themes · covering October 18, 2026 – October 25, 2026

Overview

Across these recent publications, photon-counting CT (PCCT) emerges as a recurring technological theme, with multiple studies assessing whether its detector physics—often paired with deep learning (DL) reconstruction—translates into measurable clinical image-quality and diagnostic advantages over conventional energy-integrating detector CT (EID-CT). Evidence spans domains from non-contrast neuroimaging (neuroradiologist-rated sharpness/noise/artifacts), to specialized vascular targets such as carotid bodies, to broader oncologic potential via comparative evaluations and technical innovation reviews. However, several pieces also highlight that large-sample clinical evidence and standardized pathways for adoption remain limited, underscoring the need for more rigorous validation and translation.

Clinically, the digest also shows imaging moving beyond “detection” toward “characterization” and “response assessment.” In cardiology, PCCT is showcased in a case-based risk stratification workflow where noncalcified, lipid-rich plaque appearance on PCCT is subsequently confirmed by invasive IVUS-NIRS—illustrating a bridge from noninvasive phenotyping to high-risk plaque confirmation. Separately, a broader review positions contemporary cardiac CT (especially CCTA) as increasingly central across the coronary disease spectrum and beyond luminal stenosis, supporting first-line evaluation and preventive decision-making. In oncology and neurocritical care, updates to LI-RADS Treatment Response for hepatocellular carcinoma and a state-of-practice review for chronic subdural hematoma imaging biomarkers both emphasize the importance of standardized, reproducible imaging criteria to improve consistency in treatment-response interpretation and recurrence prediction—particularly when therapies (e.g., locoregional treatment, MMA embolization) create complex post-treatment imaging appearances.

---

Oncologic Imaging with PCCT

Photon-counting CT in tumor imaging: A review of comparative evaluations and technical innovations.

This review studied photon-counting computed tomography (PCCT) for oncologic imaging by searching and synthesizing comparative evaluations and technical innovations across published tumor-imaging studies. It found that PCCT’s photon-counting detector approach can address limitations of energy-integrating detector CT (EID-CT) in spatial resolution, early lesion detection, and quantitative tumor assessment, but that large-sample clinical evidence remains limited. The review is significant because it consolidates current comparative performance and engineering advances to guide future PCCT clinical translation in cancer imaging.

Han J, Wang Z, Yuan L et al. · Journal of X-ray science and technology · (2026) · View on PubMed ↗

---

Neurological CT Image Quality (Non-contrast)

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

This study evaluated image quality of non-contrast neurological CT scans in two cohorts: retrospective scans on a commercially available energy-integrating detector (EID) CT (Apex CT, GE HealthCare) versus prospective scans on a prototype deep silicon (dSi) photon-counting detector CT (PCCT) using deep learning (DL) reconstruction. The key finding was that neuroradiologist-rated sharpness, noise, artifact presence, and gray–white matter differentiation differed between EID-CT and dSi-PCCT, with PCCT/DL reconstruction showing measurable image-quality advantages in specific domains (including structural confidence in the lentiform nucleus/insula). This is clinically significant because it supports PCCT (with DL reconstruction) as a potential improvement for routine non-contrast brain CT image quality.

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

---

Cardiac CT for Structural/Valvular/General Heart Disease

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

This review studied the evolving role of cardiac CT in patients across the spectrum of coronary artery disease, myocardial disease, valvular disease, and structural heart disease, emphasizing emerging technologies and clinical impact. It found that contemporary cardiac CT—especially coronary CT angiography (CCTA)—has expanded from ruling out obstructive coronary disease to supporting first-line evaluation in stable chest pain/chronic coronary syndromes and informing preventive and referral decisions. The significance is that it frames how new cardiac CT capabilities are changing clinical pathways and broadening diagnostic utility beyond luminal stenosis assessment.

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

---

Coronary Plaque Characterization (PCCT/IVUS-NIRS)

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

This JACC Case Reports report studied a 59-year-old woman with acute chest pain and negative high-sensitivity troponin to determine whether photon-counting CT (PCCT) and intravascular ultrasound with near-infrared spectroscopy (IVUS-NIRS) could identify high-risk coronary plaque despite a low-risk clinical profile. PCCT demonstrated a predominantly noncalcified, lipid-rich-appearing left anterior descending artery plaque, and subsequent angiography plus IVUS-NIRS confirmed a high-risk plaque phenotype with a high maximum lipid core burden. The case is significant because it illustrates how PCCT can flag high-risk plaque features that are then characterized invasively by IVUS-NIRS for risk stratification.

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

---

Gastric Imaging & Virtual Endoscopy-like CT (PCCT)

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 120 patients undergoing contrast-enhanced abdominal CT to compare nurse-led gastric preparation strategies for photon-counting CT (PCCT)-based gas-negative-contrast volume-rendered (gas-VRT) virtual endoscopy-like gastric imaging. The key finding was that varying effervescent powder dose (3 g vs 6 g) and adding water-assisted preparation (PCCT-3g+W) affected image quality and preparation-related performance, with PCCT enabling image-quality advantages for gas-negative-contrast gastric visualization compared with energy-integrating detector (EID) imaging. This is significant because it provides practical, standardized nurse-led preparation protocols to optimize PCCT virtual endoscopy-like gastric imaging.

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

---

LI-RADS Treatment Response for Hepatocellular Carcinoma

Advances in the LI-RADS Treatment Response Algorithm: Imaging Principles, Diagnostic Challenges, and Clinical Integration Following the LI-RADS 2024 Update.

This review studied the LI-RADS Treatment Response Algorithm updates (v2024-2025) for hepatocellular carcinoma (HCC) after locoregional therapies and systemic/immunotherapy combinations. It found that the updated algorithm incorporates revised guidance on arterial enhancement, washout, ancillary features, and modality-specific considerations to better distinguish viable tumor from treatment-related changes despite complex post-treatment imaging appearances. The significance lies in improving diagnostic consistency and clinical integration of treatment-response assessment following the LI-RADS 2024 update.

Sarma AD, Sarma D, Webster TJ · Cancer management and research · (2026) · View on PubMed ↗

---

Chronic Subdural Hematoma Imaging Biomarkers & MMA Embolization

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

This ASFNR Clinical State of Practice statement studied current imaging approaches for chronic subdural hematoma (cSDH), focusing on imaging biomarkers that may reflect neomembrane activity and predict recurrence or treatment response in the context of middle meningeal artery embolization (MMAE). The key finding was that imaging phenotype/internal architecture is promising but remains insufficiently standardized and not yet incorporated into randomized trials or validated treatment-selection algorithms. This is significant because it calls for standardized definitions and reporting to enable phenotype-based imaging biomarkers to guide MMAE patient selection.

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

---

Carotid Body Imaging & Quantification (PCCT vs EIDCT)

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

This retrospective single-institution study compared carotid body (CB) detection rate and size measured on photon-counting CT (PCCT) versus energy-integrating detector CT (EIDCT) in 48 adults undergoing head-and-neck CTA at arterial and venous phases. The key finding was that CB detection and measured size differed by CT detector type and were influenced by laterality and contrast phase, as analyzed with mixed-effects logistic and linear models. This is significant because it informs whether PCCT improves visualization and quantification of carotid bodies for potential clinical and research applications.

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

---

---

Generated automatically on October 25, 2026. Covers PubMed articles published October 18, 2026 – October 25, 2026. Summaries are AI-generated; always consult the original publication for clinical or research decisions.