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13 March 2024 Evaluation of the performance of deep learning-based methods in assessing plaque pathology in standalone optical and hybrid optical-based imaging
Ramya Parasa, Retesh Bajaj, Alexander Broersen, Thomas Johnson, Mohil Garg, Francesco Prati, Murat Çap, Nathan Angelo Lecaros Yap, Stephanie Granger, Stephen White, Andreas Baumbach, Anthony Mathur, Héctor M. García-García, Jouke Dijkstra, Helle Precht, Christos Bourantas
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Proceedings Volume 12819, Diagnostic and Therapeutic Applications of Light in Cardiology 2024; 1281902 (2024) https://doi.org/10.1117/12.3000554
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
Accurate classification of plaque composition is essential for treatment planning. Deep learning (DL) methods have been introduced for this purpose, to analyze intravascular images and characterize in a fast and subjective manner plaque types. In this study, we compared the efficacy of two DL methods, designed to process data acquired by two intravascular–an optical coherence tomography (OCT) and a near-infrared spectroscopy-intravascular ultrasound (NIRS-IVUS)–catheters to assess plaque types using histology as the reference standard. We matched histology, OCT, and NIRS-IVUS images, compared their estimations, and found that the DL method developed for NIRS-IVUS analysis had a better correlation with histology for calcific and lipidic tissue as compared with the OCT-DL method while both methods had a moderate correlation with the estimations of histology for fibrotic tissue. These findings could be attributed to the fact that OCT due to its poor penetration especially in lesions with large plaque burden fails to identify the deep-seated plaque and also to the fact that the NIRS-IVUS-DL method was developed with the use of histology instead of experts’ analysis.
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Ramya Parasa, Retesh Bajaj, Alexander Broersen, Thomas Johnson, Mohil Garg, Francesco Prati, Murat Çap, Nathan Angelo Lecaros Yap, Stephanie Granger, Stephen White, Andreas Baumbach, Anthony Mathur, Héctor M. García-García, Jouke Dijkstra, Helle Precht, and Christos Bourantas "Evaluation of the performance of deep learning-based methods in assessing plaque pathology in standalone optical and hybrid optical-based imaging", Proc. SPIE 12819, Diagnostic and Therapeutic Applications of Light in Cardiology 2024, 1281902 (13 March 2024); https://doi.org/10.1117/12.3000554
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KEYWORDS
Hybrid optics
Tissues
Optical coherence tomography
Pathology
Heart
Imaging spectroscopy
Near infrared spectroscopy
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