Abstract: Example medical systems and techniques are disclosed. An example medical system includes processing circuitry coupled to memory. The processing circuitry is configured to determine at least one of a predicted duration or a predicted end time of a medical procedure. The processing circuitry is configured to monitor data associated with the current medical procedure during the current medical procedure and determine that an event occurs in the current medical procedure at a first time based on the data associated with the current medical procedure. The processing circuitry is configured to determine at least one of a revised predicted duration or a revised predicted end time of the current medical procedure based on the event occurring at the first time and output a scheduling indication for a subsequent medical procedure based on the at least one of the revised predicted duration or the revised predicted end time.

Abstract: Example systems and techniques for denervation, for example, renal denervation. In some examples, a processor determines one or more tissue characteristics of tissue proximate a target nerve and a blood vessel. The processor may generate, based on the one or more tissue characteristics, an estimated volume of influence of denervation therapy delivered by a therapy delivery device disposed within the blood vessel. The processor may generate a graphical user interface including a graphical representation of the tissue proximate the target nerve and the blood vessel and a graphical representation of the estimated volume of influence.

Abstract: A medical assembly 100 includes a support catheter 102, a therapeutic catheter 104, and a locking assembly 118 coupled to at least one of the support catheter or the therapeutic catheter. The support catheter includes an elongated body defining a guide lumen and configured to position directly within vasculature of a patient. The therapeutic catheter includes an elongated body, one or more therapeutic elements 110 at a distal portion of the elongated body, and an actuation assembly. The elongated body defines a delivery lumen and is configured to move within the guide lumen. The therapeutic elements are configured to extend from the delivery lumen into a treatment site of the patient. The actuation assembly is configured to deploy the therapeutic elements from the delivery lumen into the treatment site. The locking assembly is configured to fix the therapeutic catheter relative to the support catheter while the therapeutic elements are deployed.

Abstract: An intravascular medical device includes a support structure, a plurality of focal energy sources, and a plurality of temperature sensors. The support structure defines a longitudinal axis and is configured to ‘be positioned within a vessel of a patient. The plurality of focal energy sources is arranged around a perimeter of the support structure. Each of the plurality of focal energy sources is configured to deliver energy to one or more perivascular tissues near the vessel to heat the one or more perivascular tissues. The plurality of temperature sensors is arranged around the perimeter of the support structure. Each of the plurality of temperature sensors is configured to measure a temperature at or near a wall of the vessel.

Abstract: Methods, systems, devices, assemblies and apparatuses for renal denervation. The therapeutic assembly includes a sensor configured to detect a temperature or an impedance at a location within a vessel over a period of time. The therapeutic assembly includes a processor coupled to the sensor. The processor is configured to correlate the temperature or the impedance to a flow of blood within the vessel or an arterial pressure of the blood within the vessel. The processor is configured to determine vasomotion of a wall of a distal vessel based on the flow of blood or the arterial pressure of the blood.

Abstract: Example systems and techniques for denervation, for example, renal denervation. In some examples, a processor determines one or more tissue characteristics of tissue proximate a target nerve and a blood vessel. The processor may generate, based on the one or more tissue characteristics, an estimated volume of influence of denervation therapy delivered by a therapy delivery device disposed within the blood vessel. The processor may generate a graphical user interface including a graphical representation of the tissue proximate the target nerve and the blood vessel and a graphical representation of the estimated volume of influence.

Abstract: An example system includes a memory; and processing circuitry coupled to the memory, the processing circuitry configured to: receive renal arterial anatomy information of a patient; determine a renal anatomical complexity score based on the renal arterial anatomy information; determine a type of renal denervation therapy to apply to the patient based on the renal anatomical complexity score; and output an indication of the determined type of renal denervation therapy to apply to the patient.

Abstract: A method of determining blood vessel stiffness including, acquiring a plurality of images of a portion of a blood vessel, analyzing the plurality of images to determine a maximum diameter of the portion of the blood vessel at a plurality of points along the blood vessel, analyzing the plurality of images to determine a minimum diameter of the portion of the blood vessel at the plurality of points along the blood vessel, determining a blood pressure experienced in the portion of the blood vessel, and calculating a stiffness of the portion of the blood vessel based on a ratio of the blood pressure and a difference in a diameter of the blood vessel at one or more of the plurality of points along the blood vessel.

Abstract: A method for performing a therapeutic procedure includes applying therapy to target tissue, measuring a property of the target tissue at a plurality of spaced apart locations along the length of the target tissue, identifying changes in the measured property of the target tissue at each of the plurality of spaced apart locations, identifying a point in time at which the identified change in the measured property occurs at each of the plurality of spaced apart locations, and calculating a pulse wave velocity within the target tissue by comparing a difference between the identified points in time at which the identified change in the measured property occurs at at least two of the plurality of spaced apart locations, wherein the calculated pulse wave velocity is predictive of a response to therapy.

Abstract: Occlusive denervation catheters with treatment elements including integrated check valves and varied lumen positioning. An integrated check valve opens at a certain pressure to allowing a specified maximal fluid flow. The check valve enables some (sterile) cooling fluid volume to escape from the balloon into the artery under treatment. Additional fluid flow could still be recovered via the outflow lumen of the treatment element. In some aspects, the check valve is activated by increasing the pressure of the inlet flow during the high-power phase of ultrasonic energy delivery and reducing the pressure after energy delivery. In some aspects, inlet pressure may be increased based on an actual or predicted temperature increase in the balloon.

Abstract: Systems and methods for neuromodulation therapy are disclosed herein. A method in accordance with embodiments of the present technology can include, for example, intravascularly positioning a plurality of ablation electrodes within a blood vessel lumen at a treatment site. The method can include analyzing a renal neuromodulation target site of a patient to obtain patient-specific data related to the renal neuromodulation target site, and based on the patient specific data, delivering neuromodulation treatment to the patient via one or more of the ablation electrodes.

Abstract: Systems and methods for neuromodulation therapy are disclosed herein. A method in accordance with embodiments of the present technology can include, for example, intravascularly positioning a plurality of ablation electrodes within a blood vessel lumen at a treatment site. The method can include analyzing a renal neuromodulation target site of a patient to obtain patient-specific data related to the renal neuromodulation target site, and based on the patient specific data, delivering neuromodulation treatment to the patient via one or more of the ablation electrodes.

Abstract: A method may include positioning a distal portion of a neuromodulation catheter in a first renal vessel of a patient. The distal portion may include a plurality of therapeutic elements arranged around a perimeter of the distal portion. The method also may include imaging the distal portion to visualize positions of the plurality of therapeutic elements; manipulating the distal portion so that at least one therapeutic element is oriented toward a second renal vessel adjacent the first renal vessel; deploying the at least one therapeutic element to extend at least partially through the wall of the first renal vessel such that the at least therapeutic element extends toward the second renal vessel; and delivering a chemical agent through the plurality of therapeutic elements to modulate activity of at least one renal nerve adjacent to the first renal vessel and at least one renal nerve adjacent to the second renal vessel.

Abstract: Example systems and techniques for denervation, for example, renal denervation. In some examples, a processor determines one or more tissue characteristics of tissue proximate a target nerve and a blood vessel. The processor may generate, based on the one or more tissue characteristics, an estimated volume of influence of denervation therapy delivered by a therapy delivery device disposed within the blood vessel. The processor may generate a graphical user interface including a graphical representation of the tissue proximate the target nerve and the blood vessel and a graphical representation of the estimated volume of influence.

Abstract: Example systems and techniques for denervation, for example, renal denervation. In some examples, a processor determines one or more tissue characteristics of tissue proximate a target nerve and a blood vessel. The processor may generate, based on the one or more tissue characteristics, an estimated volume of influence of denervation therapy delivered by a therapy delivery device disposed within the blood vessel. The processor may generate a graphical user interface including a graphical representation of the tissue proximate the target nerve and the blood vessel and a graphical representation of the estimated volume of influence.

Abstract: Example systems and techniques for denervation, for example, renal denervation. In some examples, a processor determines one or more tissue characteristics of tissue proximate a target nerve and a blood vessel. The processor may generate, based on the one or more tissue characteristics, an estimated volume of influence of denervation therapy delivered by a therapy delivery device disposed within the blood vessel. The processor may generate a graphical user interface including a graphical representation of the tissue proximate the target nerve and the blood vessel and a graphical representation of the estimated volume of influence.

Abstract: Example systems and techniques for denervation, for example, renal denervation. In some examples, a processor determines one or more tissue characteristics of tissue proximate a target nerve and a blood vessel. The processor may generate, based on the one or more tissue characteristics, an estimated volume of influence of denervation therapy delivered by a therapy delivery device disposed within the blood vessel. The processor may generate a graphical user interface including a graphical representation of the tissue proximate the target nerve and the blood vessel and a graphical representation of the estimated volume of influence.

Abstract: In some examples, a catheter includes an elongated member comprising an electrode array including a distal electrode, a proximal electrode proximal to the distal electrode, and at least one intermediate electrode between the proximal and distal electrodes. The at least one intermediate electrode and at least one of the distal electrode or the proximal electrode differ in at least one electrode characteristic by at least a predetermined threshold. In some examples, delivery of a given electrical signal by each of the at least one intermediate electrode and the at least one of the distal electrode or the proximal electrode generates, for a given tissue site, substantially similar electric fields. In other examples, delivery of a given electrical signal by each of the at least one intermediate electrode and the at least one of the distal electrode or the proximal electrode generates, for a given tissue site, different electric fields.

Abstract: Systems and methods for neuromodulation therapy are disclosed herein. A method in accordance with embodiments of the present technology can include, for example, intravascularly positioning a plurality of ablation electrodes within a blood vessel lumen at a treatment site. The method can include analyzing a renal neuromodulation target site of a patient to obtain patient-specific data related to the renal neuromodulation target site, and based on the patient specific data, delivering neuromodulation treatment to the patient via one or more of the ablation electrodes.

Abstract: Example systems and techniques for denervation, for example, renal denervation. In some examples, a processor determines one or more tissue characteristics of tissue proximate a target nerve and a blood vessel. The processor may generate, based on the one or more tissue characteristics, an estimated volume of influence of denervation therapy delivered by a therapy delivery device disposed within the blood vessel. The processor may generate a graphical user interface including a graphical representation of the tissue proximate the target nerve and the blood vessel and a graphical representation of the estimated volume of influence.