AI Algorithm Automates Cystic Fibrosis CT Scan Analysis
By MedImaging International staff writers Posted on 06 Apr 2021 |

Image: Original CT scan (L) and Pragma-AI overlay heat map (R) in the lungs of a CF patient and healthy control (Photo courtesy of Thirona)
A new artificial intelligence (AI) algorithm can analyze CT scans of cystic fibrosis (CF) patients in several seconds, without human interference.
The Thirona (Nijmegen, The Netherlands) Pragma-AI is designed to automatically identify lung abnormalities related to CF, such as collapsed lung tissue and abnormal airways. Sensitive, objective information on the pattern and extent of CF lung disease is immediately available, helping clinicians monitor disease progression and supporting clinical treatment planning. Pragma-AI is part of the company’s LungQ quantification software package, which precisely detects emphysematous regions in the lungs, air-trapping, airway morphology, and fissure completeness.
“Artificial intelligence algorithms make medical image analysis easier, more accurate and more effective; but it is hard work. Developing an algorithm that works as well as, and sometimes even better than a clinician, takes time,” said Eva van Rikxoort, Managing Director of Thirona. “The algorithm will be able to quickly and accurately detect bronchiectasis and mucous quantifications in very young patients with CF, making personalized treatment easier.”
“These developments pave the way for using the PRAGMA method in both clinical trials and clinical care. It allows for large scale investigation of CF lung disease in both research studies and clinical trials. This is a crucial component in the evaluation of new expensive treatment options for patients suffering from CF,” said Professor Harm Tiddens, MD, of Erasmus Medical Center (Rotterdam, The Netherlands). “CF patient registries, collecting information on the health status of CF patients, have already shown interest in the PRAGMA-AI method.”
CF is an autosomal recessive genetic disorder that affects mainly the lungs, but also the pancreas, liver, and intestine. It is characterized by abnormal transport of chloride and sodium across an epithelium, leading to thick, viscous secretions. The name refers to the characteristic scarring (fibrosis) and cyst formation within the pancreas, first recognized in the 1930’s. Difficulty breathing is the most serious symptom, resulting from frequent lung infections that are usually treated with antibiotics and other medications.
Related Links:
Thirona
The Thirona (Nijmegen, The Netherlands) Pragma-AI is designed to automatically identify lung abnormalities related to CF, such as collapsed lung tissue and abnormal airways. Sensitive, objective information on the pattern and extent of CF lung disease is immediately available, helping clinicians monitor disease progression and supporting clinical treatment planning. Pragma-AI is part of the company’s LungQ quantification software package, which precisely detects emphysematous regions in the lungs, air-trapping, airway morphology, and fissure completeness.
“Artificial intelligence algorithms make medical image analysis easier, more accurate and more effective; but it is hard work. Developing an algorithm that works as well as, and sometimes even better than a clinician, takes time,” said Eva van Rikxoort, Managing Director of Thirona. “The algorithm will be able to quickly and accurately detect bronchiectasis and mucous quantifications in very young patients with CF, making personalized treatment easier.”
“These developments pave the way for using the PRAGMA method in both clinical trials and clinical care. It allows for large scale investigation of CF lung disease in both research studies and clinical trials. This is a crucial component in the evaluation of new expensive treatment options for patients suffering from CF,” said Professor Harm Tiddens, MD, of Erasmus Medical Center (Rotterdam, The Netherlands). “CF patient registries, collecting information on the health status of CF patients, have already shown interest in the PRAGMA-AI method.”
CF is an autosomal recessive genetic disorder that affects mainly the lungs, but also the pancreas, liver, and intestine. It is characterized by abnormal transport of chloride and sodium across an epithelium, leading to thick, viscous secretions. The name refers to the characteristic scarring (fibrosis) and cyst formation within the pancreas, first recognized in the 1930’s. Difficulty breathing is the most serious symptom, resulting from frequent lung infections that are usually treated with antibiotics and other medications.
Related Links:
Thirona
Latest General/Advanced Imaging News
- AI-Powered Imaging System Improves Lung Cancer Diagnosis
- AI Model Significantly Enhances Low-Dose CT Capabilities
- Ultra-Low Dose CT Aids Pneumonia Diagnosis in Immunocompromised Patients
- AI Reduces CT Lung Cancer Screening Workload by Almost 80%
- Cutting-Edge Technology Combines Light and Sound for Real-Time Stroke Monitoring
- AI System Detects Subtle Changes in Series of Medical Images Over Time
- New CT Scan Technique to Improve Prognosis and Treatments for Head and Neck Cancers
- World’s First Mobile Whole-Body CT Scanner to Provide Diagnostics at POC
- Comprehensive CT Scans Could Identify Atherosclerosis Among Lung Cancer Patients
- AI Improves Detection of Colorectal Cancer on Routine Abdominopelvic CT Scans
- Super-Resolution Technology Enhances Clinical Bone Imaging to Predict Osteoporotic Fracture Risk
- AI-Powered Abdomen Map Enables Early Cancer Detection
- Deep Learning Model Detects Lung Tumors on CT
- AI Predicts Cardiovascular Risk from CT Scans
- Deep Learning Based Algorithms Improve Tumor Detection in PET/CT Scans
- New Technology Provides Coronary Artery Calcification Scoring on Ungated Chest CT Scans
Channels
Radiography
view channel
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read more
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read moreMRI
view channel
AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
Multiple sclerosis (MS) is a condition in which the immune system attacks the brain and spinal cord, leading to impairments in movement, sensation, and cognition. Magnetic Resonance Imaging (MRI) markers... Read more
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... Read more
AI-Powered MRI Technology Improves Parkinson’s Diagnoses
Current research shows that the accuracy of diagnosing Parkinson’s disease typically ranges from 55% to 78% within the first five years of assessment. This is partly due to the similarities shared by Parkinson’s... Read more
Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
Artificial intelligence (AI) technologies are transforming the way medical images are analyzed, offering unprecedented capabilities in quantitatively extracting features that go beyond traditional visual... Read moreUltrasound
view channel.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read more
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read moreNuclear Medicine
view channel
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read more
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more