SYSTEMS AND METHODS FOR THERAPEUTIC NASAL TREATMENT
The invention generally relates to systems and methods for providing precision targeting of tissue in a nasal region of a patient for the treatment of a nasal condition while minimizing or avoiding vaporization and/or aerosolization of both targeted and non-targeted tissue to thereby reduce risk of transmitting airborne viral loads.
1 . A method for treating a condition within a sino-nasal cavity of a patient, the method comprising:
delivering treatment energy to one or more tissues at one or more target sites within a sino-nasal cavity of the patient at a level and for a period of time sufficient to ablate and/or modulate targeted tissue for the treatment of a condition while minimizing or preventing vaporization and/or aerosolization of both targeted and non-targeted tissue.
2 . The method of claim 1 , wherein the treatment energy is delivered via one or more electrodes of an end effector and supplied thereto from a controller operably associated with the end effector and based, at least in part, on a treatment pattern, wherein the treatment pattern is determined based on processing, via the controller, identifying data received from the end effector associated with tissue at the one or more target sites.
3 . The method of claim 2 , wherein the identifying data is associated with one or more properties of the one or more tissues, the one or more properties comprising at least one of a type, a depth, and a location of each of the one or more tissues.
4 . The method of claim 3 , wherein a subset of the one or more electrodes is configured to deliver non-therapeutic stimulating energy at a frequency/waveform to respective positions at the one or more target sites to thereby sense at least one of physiological properties, bioelectric properties, and thermal properties of the one or more tissues at the target site.
5 . The method of claim 4 , wherein the processing of the identifying data, via the controller, comprises correlating the identifying data received from the end effector with electric signature data associated with a plurality of known tissue types from a supervised and/or an unsupervised trained neural network.
6 . The method of claim 2 , wherein the treatment pattern comprises data associated with at least one of a predetermined treatment time, a level of energy to be delivered from the electrodes, and a predetermined temperature threshold, wherein the treatment energy is delivered based, at least in part, on processing, via the controller, of real-time feedback data associated with the one or more tissues upon supplying treatment energy thereto.
7 . The method of claim 6 , wherein the feedback data comprises at least temperature measurement data associated with the targeted tissue, a level of energy delivered, and an elapsed delivery time, wherein the controller is configured to process the feedback data using an algorithm to determine efficacy of ablation/modulation of the targeted tissue based, at least in part, on a comparison of the feedback data with treatment pattern data.
8 . The method of claim 7 , wherein the predetermined temperature threshold is in the range of approximately 50° C. to 60° C.
9 . The method of claim 1 , wherein at least one of the targeted tissue and non-targeted tissue is associated with, or potentially associated with, a pathogen capable of airborne transmission.
10 . The method of claim 9 , wherein the pathogen comprises severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2).
11 . A system for treating a condition within a sino-nasal cavity of a patient, the system comprising:
a treatment device including an end effector comprising one or more electrodes; and
a controller operably associated with the treatment device and configured to control delivery of treatment energy from the one or more electrodes to one or more tissues at one or more target sites within a sino-nasal cavity of the patient at a level and for a period of time sufficient to ablate and/or modulate targeted tissue for the treatment of a condition while minimizing or preventing vaporization and/or aerosolization of both targeted and non-targeted tissue.
12 . The system of claim 11 , wherein the controller is configured to determine a treatment pattern for controlling delivery of energy from the one or more electrodes to one or more tissues at a target site based, at least in part, on identifying data received from the device associated with the one or more tissues, wherein the treatment pattern is determined based on processing, via the controller, identifying data received from the end effector associated with tissue at the one or more target sites.
13 . The system of claim 12 , wherein the identifying data is associated with one or more properties of the one or more tissues, the one or more properties comprising at least one of a type, a depth, and a location of each of the one or more tissues.
14 . The system of claim 13 , wherein a subset of the one or more electrodes is configured to deliver non-therapeutic stimulating energy at a frequency/waveform to respective positions at the one or more target sites to thereby sense at least one of physiological properties, bioelectric properties, and thermal properties of the one or more tissues at the target site.
15 . The system of claim 14 , wherein the processing of the identifying data, via the controller, comprises correlating the identifying data received from the end effector with electric signature data associated with a plurality of known tissue types from a supervised and/or an unsupervised trained neural network.
16 . The system of claim 12 , wherein the treatment pattern comprises data associated with at least one of a predetermined treatment time, a level of energy to be delivered from the electrodes, and a predetermined temperature threshold, wherein the treatment energy is delivered based, at least in part, on processing, via the controller, of real-time feedback data associated with the one or more tissues upon supplying treatment energy thereto.
17 . The system of claim 16 , wherein the feedback data comprises at least temperature measurement data associated with the targeted tissue, a level of energy delivered, and an elapsed delivery time, wherein the controller is configured to process the feedback data using an algorithm to determine efficacy of ablation/modulation of the targeted tissue based, at least in part, on a comparison of the feedback data with treatment pattern data.
18 . The system of claim 17 , wherein the predetermined temperature threshold is in the range of approximately 50° C. to 60° C.
19 . The system of claim 11 , wherein at least one of the targeted tissue and non-targeted tissue is associated with, or potentially associated with, a pathogen capable of airborne transmission.
20 . The system of claim 19 , wherein the pathogen comprises severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2).