Systems, methods, and devices for developing patient-specific spinal implants, treatments, operations, and/or procedures

Patent metadata

Field	Value
Publication number	US-12564447-B2
Application number	US-202318545184-A
Country	US
Kind code	B2
Filing date	Dec 19, 2023
Priority date	Apr 2, 2019
Publication date	Mar 3, 2026
Grant date	Mar 3, 2026

Abstract

The disclosure herein relates to systems, methods, and devices for developing patient-specific spinal implants, treatments, operations, and/or procedures. In some embodiments, systems, methods, and devices described herein can comprise using artificial intelligence, machine learning, and/or predictive modeling to predict the outcome of a spinal surgery, one or more parameters of a spine of a patient after spinal surgery, for example after implantation of a spinal rod which can be patient-specific, and/or one or more parameters of one or more recommended patient-specific spinal rods. Furthermore, in some embodiments, systems, methods, and devices described herein can comprise intraoperative tracking for tracking and/or suggesting improvements during spinal surgery based on a pre-operatively determined surgical plan, for example in real-time or substantially real-time. In addition, in some embodiments, systems, methods, and devices described herein can comprise screw planning prior to spinal surgery.

First claim

What is claimed is:

1 . A computer-implemented method of predicting a surgical outcome of a spinal surgery of a subject, the method comprising:
inputting, into a computer system, one or more preoperative inputs relating to the subject, wherein the one or more preoperative inputs comprise one or more preoperative medical images of a spine of the subject and one or more preoperative non-imaging data inputs of the subject; determining, using the computer system, one or more measurements from the inputted one or more preoperative medical images of the spine of the subject, wherein the one or more measurements comprise endplate angles of one or more vertebrae of the spine of the subject and a position of the one or more vertebrae of the spine of the subject; determining, using the computer system, one or more preoperative spinopelvic parameters based at least in part on the one or more determined measurements, wherein the one or more preoperative spinopelvic parameters comprise one or more of lumbar lordosis (LL), preoperative thoracic kyphosis (TK), pelvic incidence (PI), pelvic tilt (PT), or sagittal vertical axis (SVA) for one or more vertebrae; applying, using the computer system, one or more predictive models to generate a patient-specific surgical plan comprising a spinal rod specification based at least in part on the one or more preoperative non-imaging data inputs of the subject; and generating, using the computer system, instructions to produce a spinal rod for implantation during the spinal surgery of the subject, the instructions based on the spinal rod specification,
wherein the computer system comprises a computer processor and an electronic storage medium.

2 . The computer-implemented method of claim 1 , wherein the one or more predictive models comprises one or more of a generative adversarial network (GAN) algorithm, convolutional neural network (CNN) algorithm, or recurrent neural network (RNN) algorithm.

3 . The computer-implemented method of claim 1 , wherein the one or more measurements from the inputted one or more preoperative medical images of the spine of the subject are determined automatically by the computer system.

4 . The computer-implemented method of claim 1 , wherein the inputted one or more preoperative medical images of the spine of the subject comprises one or more sagittal x-ray images and one or more frontal x-ray images.

5 . The computer-implemented method of claim 1 , wherein the one or more preoperative inputs further comprise one or more specifications of a spinal rod proposed to be implanted to the spine of the subject.

6 . The computer-implemented method of claim 1 , wherein;
determining the one or more measurements comprises determining a measurement set comprising the one or more measurements; and determining the one or more preoperative spinopelvic parameters comprises:
applying a filter to the one or more determined measurements to filter out high frequency noise in the measurement set; and
determining the one or more preoperative spinopelvic parameters based on the filtered measurement set.

7 . The computer-implemented method of claim 1 , further comprising, generating, by the computer system, a predicted surgical outcome based on the patient-specific surgical plan for the subject.

8 . The computer-implemented method of claim 7 , wherein the generated predicted surgical outcome comprises one or more of one or more postoperative spinopelvic parameters or one or more specifications of the spinal rod to be implanted to the spine of the subject.

Assignees

• Medicrea Int

Inventors

• Mosnier Thomas
• Senac Agathe
• Augagneur Céline
• Javelot Christophe Xavier Guillaume
• Sournac Denys

Classifications

• A61B2034/2046

  Tracking techniques · CPC title

• A61B2034/107

  Visualisation of planned trajectories or target regions · CPC title

• A61B2017/564

  Methods for bone or joint treatment · CPC title

• A61B17/7032 Primary

  Screws or hooks with U-shaped head or back through which longitudinal rods pass · CPC title

• A61B2090/376

  using X-rays, e.g. fluoroscopy · CPC title