Magnetic resonance-guided focused ultrasound treatment of facet joint pain: summary of preclinical phase

STUDY DESIGN: A phantom experiment, two thermocouple experiments, three in vivo pig experiments, and a simulated treatment on a healthy human volunteer were conducted to test the feasibility, safety, and efficacy of magnetic resonance-guided focused ultrasound (MRgFUS) for treating facet joint pain. OBJECTIVE: The goal of the current study was to develop a novel method for accurate and safe noninvasive facet joint ablation using MRgFUS. SUMMARY OF BACKGROUND DATA: Facet joints are a common source of chronic back pain. Direct facet joint interventions include medial branch nerve ablation and intra-articular injections, which are widely used, but limited in the short and long term. MRgFUS is a breakthrough technology that enables accurate delivery of high-intensity focused ultrasound energy to create a localized temperature rise for tissue ablation, using MR guidance for treatment planning and real-time feedback. METHODS: We validated the feasibility, safety, and efficacy of MRgFUS for facet joint ablation using the ExAblate 2000® System (InSightec Ltd., Tirat Carmel, Israel) and confirmed the system's ability to ablate the edge of the facet joint and all terminal nerves innervating the joint. A phantom experiment, two thermocouple experiments, three in vivo pig experiments, and a simulated treatment on a healthy human volunteer were conducted. RESULTS: The experiments showed that targeting the facet joint with energies of 150–450 J provides controlled and accurate heating at the facet joint edge without penetration to the vertebral body, spinal canal, or root foramina. Treating with reduced diameter of the acoustic beam is recommended since a narrower beam improves access to the targeted areas. CONCLUSIONS: MRgFUS can safely and effectively target and ablate the facet joint. These results are highly significant, given that this is the first study to demonstrate the potential of MRgFUS to treat facet joint pain

SUGGESTING TITLES FOR AUDIO RECORDINGS

Techniques of this disclosure may enable a computing device to suggest one or more titles based on the content of audio being recorded or audio that was previously recorded, and other data such as time and location. Rather than applying a general default title or audio file name, the computing device may request authorization from a user to analyze the contents of a recorded audio file and, after receiving explicit authorization from the user, analyze the audio, including speech, and automatically suggest titles that are indicative of the content of the audio and/or other data. The computing device may convert speech included in the audio into text and extract a plurality of terms from the text based on various factors, such as word classes (e.g., convert audio that includes “this meatball recipe adds parmesan cheese” into text and extract a plurality of nouns such as “meatball,” “recipe,” “parmesan,” and “cheese” from the text). Based on various factors, such as term frequency in the text and the relative uniqueness of the terms in the spoken language, the computing device may identify a plurality of words from the plurality of terms to represent the overall content of the audio (e.g., identify “meatball” and “recipe” from “meatball,” “recipe,” “parmesan,” and “cheese” based on term frequency in the text). The computing device may also classify non-speech audio (e.g. applause, dog barking, music) and use the classification, including metadata associated with the classified audio object, such as song titles, to identify a plurality of words to represent the overall content of the audio. The speech terms, non-speech audio classification, classified audio object metadata, and other data may be combined to identify a plurality of words to represent the overall content of the audio. The computing device may display the identified words as suggested words to be included in the title of the audio file. The user may select one or more of the identified words as the title or combine one or more of the identified words with one or more other words entered by the user. The computing device may use the selected and/or entered words as the title for the audio and/or for the name of the audio file