PATENT CLAIM ANALYSIS

Application Number: 16153234
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["606", "041000"]

Abstract:
Methods and systems for modulating intraosseous nerves (e.g., nerves within bone) are provided. For example, the methods and systems described herein may be used to modulate (e.g., denervate, ablate) basivertebral nerves within vertebrae. The modulation of the basivertebral nerves may facilitate treatment of chronic back pain. The modulation may be performed by a neuromodulation device (e.g., an energy delivery device).

Claim (Index 8):
A method of accessing and ablating tissue within a vertebral body involving internal cooling, the method comprising:\n inserting a stylet within a cannula; percutaneously inserting the stylet and the cannula through skin of a patient; advancing the stylet and the cannula within a vertebral body; removing the stylet from the cannula; inserting a first radiofrequency probe through the cannula to a treatment zone within the vertebral body, inserting a second radiofrequency probe to the treatment zone within the vertebral body; causing energy within a frequency range between 400 kHz and 600 kHz to be delivered to the treatment zone within the vertebral body using the first and second radiofrequency probes for a duration of time sufficient to ablate tissue at the treatment zone, wherein the tissue comprises at least one of a basivertebral nerve and a tumor; and causing cooling fluid to circulate through one or more lumens of at least one of the first and second radiofrequency probes to provide cooling to the treatment zone.

Metadata:
- Claim Count in Document: 51.0
- Percentile: 97.0
- Lexical Diversity: 1.59574
- Patent Class: 606.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16153242', '13615001', '13612541', '13862317', '13923798']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8813458122807512
- 35 USC 102 Novelty (BERT): 0.6216694588961154
- Combined Prediction Score: 0.8553781769422877
- Mean Citation Score: 637.3071980000002
- Max Citation Score: 666.22345
- Similarity Product: 563.8030691675901

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test