Passive Elastography for Clinical HIFU Lesion Detection

• Published in: IEEE transactions on medical imaging Vol. 43; no. 4; pp. 1594 - 1604
• Main Authors: Payen, Thomas, Crouzet, Sebastien, Guillen, Nicolas, Chen, Yao, Chapelon, Jean-Yves, Lafon, Cyril, Catheline, Stefan
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.04.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Ablation; Backscatter; Body organs; Bubbles; Cancer; Clinical translation; Elasticity; Elastography; HIFU monitoring; Image acquisition; Imaging; In vivo; Lesions; Mechanical factors; Monitoring; passive elastography; Phantoms; Physiology; Prostate cancer; Stiffening; Telemedicine; Ultrasonic imaging; Ultrasonic testing; Ultrasound; ultrasound B-mode images
• ISSN: 0278-0062; 1558-254X
• DOI: 10.1109/TMI.2023.3344182

High-intensity Focused Ultrasound (HIFU) is a promising treatment modality for a wide range of pathologies including prostate cancer. However, the lack of a reliable ultrasound-based monitoring technique limits its clinical use. Ultrasound currently provides real-time HIFU planning, but its use for monitoring is usually limited to detecting the backscatter increase resulting from chaotic bubble appearance. HIFU has been shown to generate stiffening in various tissues, so elastography is an interesting lead for ablation monitoring. However, the standard techniques usually require the generation of a controlled push which can be problematic in deeper organs. Passive elastography offers a potential alternative as it uses the physiological wave field to estimate the elasticity in tissues and not an external perturbation. This technique was adapted to process B-mode images acquired with a clinical system. It was first shown to faithfully assess elasticity in calibrated phantoms. The technique was then implemented on the Focal One® clinical system to evaluate its capacity to detect HIFU lesions in vitro (CNR = 9.2 dB) showing its independence regarding the bubbles resulting from HIFU and in vivo where the physiological wave field was successfully used to detect and delineate lesions of different sizes in porcine liver. Finally, the technique was performed for the very first time in four prostate cancer patients showing strong variation in elasticity before and after HIFU treatment (average variation of <inline-formula> <tex-math notation="LaTeX">33.0 \, \pm \, 16.0 \% </tex-math></inline-formula>). Passive elastography has shown evidence of its potential to monitor HIFU treatment and thus help spread its use.