Title:
SYSTEM AND METHOD FOR PREDICTING SUCCESS OR NOT OF COMPLETE REPAIR WHEN REPAIRING TORN ROTATOR CUFF
Document Type and Number:
WIPO Patent Application WO/2023/234476
Kind Code:
A1
Abstract:
The present invention relates to a system for predicting the success or not of complete repair when carrying out surgery for a torn rotator cuff. The present invention comprises: an image information input unit for receiving an anticipated surgical site captured image in which a surgical site of a patient is captured; a configuration detection unit for detecting, from the anticipated surgical site captured image of the patient, which has been captured through a capturing module, configurations needed for measuring the grade of tear of a rotator cuff; a parameter calculation unit for calculating, from a site detected through the configuration detection unit, a parameter for tear determination; and a prediction unit for predicting the success or not of surgery through a deep learning algorithm by inputting the calculated parameter.
Inventors:
KIM JONG HO (KR)
CHANG DONG JIN (KR)
CHANG DONG JIN (KR)
Application Number:
PCT/KR2022/012560
Publication Date:
December 07, 2023
Filing Date:
August 23, 2022
Export Citation:
Assignee:
CATHOLIC UNIV KOREA IND ACADEMIC COOPERATION FOUNDATION (KR)
International Classes:
A61B34/10; A61B5/055; A61B17/04; A61B90/00; G16H30/40; G16H50/20
Foreign References:
| US20200113511A1 | 2020-04-16 |
Other References:
TAGHIZADEH ELHAM; TRUFFER OSKAR; BECCE FABIO; EMINIAN SYLVAIN; GIDOIN STACEY; TERRIER ALEXANDRE; FARRON ALAIN; BüCHLER PHILIP: "Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets", EUROPEAN RADIOLOGY, SPRINGER BERLIN HEIDELBERG, BERLIN/HEIDELBERG, vol. 31, no. 1, 31 January 2021 (2021-01-31), Berlin/Heidelberg, pages 181 - 190, XP037319296, ISSN: 0938-7994, DOI: 10.1007/s00330-020-07070-7
MEDINA GIOVANNA; BUCKLESS COLLEEN G.; THOMASSON EAMON; OH LUKE S.; TORRIANI MARTIN: "Deep learning method for segmentation of rotator cuff muscles on MR images", SKELETAL RADIOLOGY, SPRINGER, BERLIN, DE, vol. 50, no. 4, 16 September 2020 (2020-09-16), DE , pages 683 - 692, XP037364516, ISSN: 0364-2348, DOI: 10.1007/s00256-020-03599-2
JEONG HO YEON, KIM HWAN JIN, JEON YOON SANG, RHEE YONG GIRL: "Factors Predictive of Healing in Large Rotator Cuff Tears: Is It Possible to Predict Retear Preoperatively?", AMERICAN JOURNAL OF SPORTS MEDICINE., AMERICAN ORTHOPAEDIC SOCIETY FOR SPORTS MEDICINE., WALTHAM, MA., vol. 46, no. 7, 1 June 2018 (2018-06-01), WALTHAM, MA. , pages 1693 - 1700, XP093117486, ISSN: 0363-5465, DOI: 10.1177/0363546518762386
MCLENDON PAUL B., CHRISTMAS KAITLYN N., SIMON PETER, PLUMMER OTHO R., HUNT AUDREY, AHMED ADIL S., MIGHELL MARK A., FRANKLE MARK A.: "Machine Learning Can Predict Level of Improvement in Shoulder Arthroplasty", JBJS OPEN ACCESS, vol. 6, no. 1, 26 March 2021 (2021-03-26), pages e20.00128, XP093117487, ISSN: 2472-7245, DOI: 10.2106/JBJS.OA.20.00128
MEDINA GIOVANNA; BUCKLESS COLLEEN G.; THOMASSON EAMON; OH LUKE S.; TORRIANI MARTIN: "Deep learning method for segmentation of rotator cuff muscles on MR images", SKELETAL RADIOLOGY, SPRINGER, BERLIN, DE, vol. 50, no. 4, 16 September 2020 (2020-09-16), DE , pages 683 - 692, XP037364516, ISSN: 0364-2348, DOI: 10.1007/s00256-020-03599-2
JEONG HO YEON, KIM HWAN JIN, JEON YOON SANG, RHEE YONG GIRL: "Factors Predictive of Healing in Large Rotator Cuff Tears: Is It Possible to Predict Retear Preoperatively?", AMERICAN JOURNAL OF SPORTS MEDICINE., AMERICAN ORTHOPAEDIC SOCIETY FOR SPORTS MEDICINE., WALTHAM, MA., vol. 46, no. 7, 1 June 2018 (2018-06-01), WALTHAM, MA. , pages 1693 - 1700, XP093117486, ISSN: 0363-5465, DOI: 10.1177/0363546518762386
MCLENDON PAUL B., CHRISTMAS KAITLYN N., SIMON PETER, PLUMMER OTHO R., HUNT AUDREY, AHMED ADIL S., MIGHELL MARK A., FRANKLE MARK A.: "Machine Learning Can Predict Level of Improvement in Shoulder Arthroplasty", JBJS OPEN ACCESS, vol. 6, no. 1, 26 March 2021 (2021-03-26), pages e20.00128, XP093117487, ISSN: 2472-7245, DOI: 10.2106/JBJS.OA.20.00128
Attorney, Agent or Firm:
DAHAI INTERNATIONAL PATENT & LAW FIRM (KR)
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