- Home
- Medical news & Guidelines
- Anesthesiology
- Cardiology and CTVS
- Critical Care
- Dentistry
- Dermatology
- Diabetes and Endocrinology
- ENT
- Gastroenterology
- Medicine
- Nephrology
- Neurology
- Obstretics-Gynaecology
- Oncology
- Ophthalmology
- Orthopaedics
- Pediatrics-Neonatology
- Psychiatry
- Pulmonology
- Radiology
- Surgery
- Urology
- Laboratory Medicine
- Diet
- Nursing
- Paramedical
- Physiotherapy
- Health news
- AYUSH
- State News
- Andaman and Nicobar Islands
- Andhra Pradesh
- Arunachal Pradesh
- Assam
- Bihar
- Chandigarh
- Chattisgarh
- Dadra and Nagar Haveli
- Daman and Diu
- Delhi
- Goa
- Gujarat
- Haryana
- Himachal Pradesh
- Jammu & Kashmir
- Jharkhand
- Karnataka
- Kerala
- Ladakh
- Lakshadweep
- Madhya Pradesh
- Maharashtra
- Manipur
- Meghalaya
- Mizoram
- Nagaland
- Odisha
- Puducherry
- Punjab
- Rajasthan
- Sikkim
- Tamil Nadu
- Telangana
- Tripura
- Uttar Pradesh
- Uttrakhand
- West Bengal
- Medical Education
- Industry
Angiography-derived radial wall strain corresponds with plaque composition and vulnerability: Study
![Angiography-derived radial wall strain corresponds with plaque composition and vulnerability: Study Angiography-derived radial wall strain corresponds with plaque composition and vulnerability: Study](https://medicaldialogues.in/h-upload/2020/11/04/750x450_141808-ct-angiography.webp)
China: In patients with intermediate coronary stenosis, radial wall strain (RWS) from angiography significantly corresponds with plaque composition and known optical coherence tomography (OCT) features of plaque vulnerability, says a recent study in EuroIntervention.
The thin-cap fibroatheroma (TCFA) and lipid-to-cap ratio (LCR) derived from OCT indicate plaque vulnerability. Huihong Hong, Department of Cardiology, Fujian Medical University Union Hospital, Fuzhou, China, and colleagues aimed to explore the association of a novel method for estimating RWS from angiography with plaque composition and features of vulnerability assessed by OCT.
A recently validated algorithm based on artificial intelligence was used to determine LCR and TCFA on OCT images automatically. For this purpose, the researchers analyzed anonymized data from patients with intermediate stenosis who underwent coronary angiography (CAG) and OCT in a core lab. The angiography-derived RWSmax was computed as the maximum deformation of lumen diameter throughout the cardiac cycle, representing the percentage of the largest lumen diameter.
CAG and OCT images from 114 patients (124 vessels) were analyzed.
Following were the study's salient findings:
- The average time for the analysis of RWSmax was 57 seconds.
- The RWSmax in the interrogated plaques was 12% and correlated positively with the LCR (r=0.584) and lipidic plaque burden (r=0.411) and negatively with fibrous cap thickness (r= −0.439).
- An RWSmax >12% was an angiographic predictor for an LCR >0.33 (area under the curve [AUC]=0.86) and TCFA (AUC=0.72).
- Lesions with RWSmax >12% had a higher prevalence of TCFA (22.0% versus 1.5%), thinner fibrous cap thickness (71 μm versus 101 μm), more considerable lipidic plaque burden (23.3% versus 15.4%), and higher maximum LCR (0.41 versus 0.18) compared to lesions with RWSmax ≤12%.
The researchers conclude, "in patients with intermediate coronary stenosis, angiography-derived RWS was notably correlated with plaque composition and known OCT features of plaque vulnerability."
Reference:
The study titled "Radial wall strain: a novel angiographic measure of plaque composition and vulnerability" was published in EuroIntervention. DOI: 10.4244/EIJ-D-22-00537
MSc. Biotechnology
Medha Baranwal joined Medical Dialogues as an Editor in 2018 for Speciality Medical Dialogues. She covers several medical specialties including Cardiac Sciences, Dentistry, Diabetes and Endo, Diagnostics, ENT, Gastroenterology, Neurosciences, and Radiology. She has completed her Bachelors in Biomedical Sciences from DU and then pursued Masters in Biotechnology from Amity University. She has a working experience of 5 years in the field of medical research writing, scientific writing, content writing, and content management. She can be contacted at  editorial@medicaldialogues.in. Contact no. 011-43720751
Dr Kamal Kant Kohli-MBBS, DTCD- a chest specialist with more than 30 years of practice and a flair for writing clinical articles, Dr Kamal Kant Kohli joined Medical Dialogues as a Chief Editor of Medical News. Besides writing articles, as an editor, he proofreads and verifies all the medical content published on Medical Dialogues including those coming from journals, studies,medical conferences,guidelines etc. Email: editorial@medicaldialogues.in. Contact no. 011-43720751