View the entire 4DMedical portfolio.
CT:VQ™ and the 4DMedical Lung Health Imaging Panel:
One modality. One department. Complete pulmonary imaging.
With the 4DMedical suite of products, a single CT scanning event in Radiology delivers quantified, actionable insights into cardiopulmonary function: ventilation, perfusion, and regional function quantification—through an automated, streamlined, PACS‑native workflow.
CT:VQ™ Offers the First and Only Ventilation & Perfusion Imaging from Your Existing Non-Contrast CT Scans
CT:VQ™ converts standard (non-contrast) CT scans into high-quality ventilation and perfusion datasets, comparable to SPECT V/Q studies, without nuclear imaging or tracers. It fills a critical healthcare gap by using prevalent CT infrastructure, enhancing access, efficiency, and patient flow. CT:VQ supports major clinical needs, like pulmonary hypertension and lung cancer planning, promising a new standard in lung function assessment and broad adoption.
Brief presentation, 3:30pm: Andreas Fouras, CEO, CTO
Monday, December 1 | 3:00–5:00pm | 4DMedical, South Hall #1759
CT:VQ™ Breakfast with 4DMedical + Philips at RSNA. Hear expert radiologist and pulmonologist speakers discuss real cases, practical workflow, and how CT-based ventilation and perfusion can change decision-making across COPD, asthma, and post-PE care.
Monday, December 2 | 6:30–7:30am
McCormick Place, Hyatt Regency Ballroom C–D
Seats are limited—register now.
Medicare reimbursement unlocks nationwide access to non-contrast ventilation–perfusion imaging from routine chest CT
4DMedical, a leader in advanced respiratory imaging, announces U.S. Food and Drug Administration (FDA) 510(k) clearance for CT:VQ™, the world’s first and only non-contrast, ventilation–perfusion (VQ) imaging solution. In parallel, the U.S. Centers for Medicare & Medicaid Services (CMS) has confirmed reimbursement for CT:VQ™ under Category III CPT codes; this payment is in addition to existing reimbursement for the underlying chest CT. CT:VQ converts standard, non‑contrast chest CTs into quantitative, lobar ventilation (V) and perfusion (Q) maps. Delivered as software‑as‑a‑service, it integrates directly with routine radiology workflows (DICOM-based, PACS reporting) and leverages the U.S. installed base of approximately 14,500 CT scanners, bringing functional lung imaging to sites without nuclear medicine capacity.Early identification of Usual Interstitial Pneumonia (UIP) and diagnosis of Idiopathic Pulmonary Fibrosis (IPF) remains a significant challenge in pulmonary medicine. Despite advances in imaging and clinical awareness, the process still requires specialized training and experience that isn’t always readily available—especially in non-urban or resource-limited healthcare settings. This gap can delay diagnosis which critically impacts patient outcomes.
In a recent interview hosted by Brian Casey, editor at The Imaging Wire, Dr. Chung, a leading thoracic radiologist, offers valuable perspective on the complexities associated with UIP identification and the essential role of expert interpretation/automated IQ-UIP1 to achieve accurate diagnoses.As COPD continues to grow as a global health burden—predicted by the World Health Organization (WHO) to become the third leading cause of death by 2030—innovative AI-driven medical imaging technologies are rapidly advancing diagnosis, staging, and treatment. In a recent Radiology Today article, “Breathing Room,” writer Beth W. Orenstein explores how clinicians are increasingly relying on advanced CT imaging solutions that overcome the limitations of traditional lung function testing methods such as spirometry, which can be uncomfortable and challenging for patients, particularly elderly and those with impaired lung capacity.
Use of quantitative CT chest imaging to derive and assess a radiographic phenotype of deployment-related constrictive bronchiolitis
This study used chest CT scans taken during a full inhale and a full exhale to build a noninvasive “fingerprint” of deployment-related constrictive bronchiolitis, based on biopsy-confirmed cases versus healthy people, while accounting for age, sex, body size, and smoking. The team created a score (a DRCB Probability Index) that separated patients from healthy controls with high accuracy. When applied to symptomatic veterans without biopsies, 10 of 71 scored high; these individuals had more signs of small-airway problems on specialized breathing tests, CT signs of thicker airway walls and less efficient overall lung ventilation, and they reported worse immediate effects from burn pit smoke and sand/dust—despite mostly normal standard spirometry. The findings suggest computer-based CT analysis could help identify this condition without surgery.
