Patents Assigned to Cancer Hospital, Chinese Academy of Medical Sciences
  • Publication number: 20240424320
    Abstract: A method and system for determining a spatiotemporal fractionation radiotherapy planning, belonging to the technical field of medical equipment which involves acquiring pathological images; identifying the acquired pathological images to determine the region of interest in the pathological images as the radiotherapy region; arranging the irradiation field direction according to the shape of the radiotherapy region, setting the optimization conditions of the radiotherapy planning according to clinical prescription requirements, and planning the radiotherapy path; evaluating the plan quality based on the planned optimization model for the planned radiotherapy path, and resetting the optimization conditions for unsuitable radiotherapy plans until the plan quality meets the requirements; outputting the radiotherapy path that meets the plan quality requirements as the final spatiotemporal fractionation radiotherapy plan.
    Type: Application
    Filed: June 11, 2024
    Publication date: December 26, 2024
    Applicant: CANCER HOSPITAL, CHINESE ACADEMY OF MEDICAL SCIENCES AND PEKING UNION MEDICAL COLLEGE
    Inventors: Min Ma, Jianrong Dai
  • Patent number: 12094612
    Abstract: A tumor diagnosis system and a construction method thereof, a terminal device and a storage medium are provided, wherein a radiomics signature is obtained by a radiomics signature-generation module in the tumor diagnosis system according to target radiomics information and clinical data information, based on a pre-trained radiomics signature model; a first classification comprehensive diagnosis result is obtained by a benign and malignant comprehensive classification module according to a ambient situation of a lesion outside an intestinal wall, the clinical data information and a first radiomics signature, based on a pre-trained first classification comprehensive diagnosis model; a second classification comprehensive diagnosis result is generated through a malignant focus sub-classification module based on a pre-trained second classification comprehensive diagnosis model, if the first classification comprehensive diagnosis result includes high-risk malignant information; and a final diagnosis result is obtai
    Type: Grant
    Filed: October 31, 2023
    Date of Patent: September 17, 2024
    Assignee: CANCER HOSPITAL, CHINESE ACADEMY OF MEDICAL SCIENCES
    Inventors: Qing Zhao, Hongmei Zhang, Xinming Zhao
  • Patent number: 12054710
    Abstract: A method of ctDNA library construction and sequencing data analysis for simultaneously detecting multiple common mutations in liver cancer. The library construction method and sequencing data analysis process have the following advantages: 1. Simultaneous detection of multiple mutation forms in liver cancer without capturing; 2. Suitable for efficient capture of ultra-small target regions; 3. The library may support 10-20 tests; 4. Ligate the DNA barcode to the starting ctDNA molecule during the library construction process, and cooperate with the biological information analysis process to achieve high specific detection of low-frequency mutations in ctDNA; 5. The library is usable for PCR hot spots detection and sequencing by a capture method at the same time, the added DNA barcode may effectively filter out false positive mutations and achieve high-specificity sequencing based on duplex.
    Type: Grant
    Filed: April 11, 2019
    Date of Patent: August 6, 2024
    Assignees: CANCER HOSPITAL CHINESE ACADEMY OF MEDICAL SCIENCES, GENETRON HEALTH (BEIJING) CO, LTD.
    Inventors: Yuchen Jiao, Chunfeng Qu, Pei Wang, Kun Chen, Yuting Wang, Qianqian Song, Sizhen Wang, Hai Yan
  • Patent number: 12057234
    Abstract: A system for predicting therapy resistance and its molecular mechanisms in rectal cancer before treatment is provided. The system includes a feature extraction device, a collection device, a signature construction device and a prediction device. The system can predict responses to neoadjuvant therapy in patients before treatment, analyze patients who are resistant to rectal cancer therapy and their underlying molecular mechanism, thereby enabling personalized therapy for patients who are resistant to rectal cancer therapy. The system has important clinical significance in improving the overall survival of rectal cancer patients.
    Type: Grant
    Filed: October 31, 2023
    Date of Patent: August 6, 2024
    Assignee: CANCER HOSPITAL, CHINESE ACADEMY OF MEDICAL SCIENCES
    Inventors: Qing Zhao, Xu Guan, Enrui Liu, Ran Wei, Xiaoxiao Song
  • Patent number: 12027255
    Abstract: A system for predicting microsatellite instability and a construction method thereof, a terminal device and a medium are provided. Target image information, pathological specimen information and clinical data information of a user to be predicted are acquired by an acquisition module in the system for predicting microsatellite instability; a radiomics signature is generated according to the target image information, and a pathomics signature is generated according to the pathological specimen information, by a signature generation module, based on a pre-trained MSI-H/dMMR multi-omics signature model; and MSI-H/dMMR prediction results are generated according to the radiomics signature, the pathomics signature and the clinical data information, by a prediction generation module, based on a pre-trained MSI-H/dMMR prediction model.
    Type: Grant
    Filed: October 31, 2023
    Date of Patent: July 2, 2024
    Assignee: CANCER HOSPITAL, CHINESE ACADEMY OF MEDICAL SCIENCES
    Inventors: Qing Zhao, Hongxia Zhong, Hongmei Zhang, Xinming Zhao
  • Publication number: 20240062904
    Abstract: A tumor diagnosis system and a construction method thereof, a terminal device and a storage medium are provided, wherein a radiomics signature is obtained by a radiomics signature-generation module in the tumor diagnosis system according to target radiomics information and clinical data information, based on a pre-trained radiomics signature model; a first classification comprehensive diagnosis result is obtained by a benign and malignant comprehensive classification module according to a ambient situation of a lesion outside an intestinal wall, the clinical data information and a first radiomics signature, based on a pre-trained first classification comprehensive diagnosis model; a second classification comprehensive diagnosis result is generated through a malignant focus sub-classification module based on a pre-trained second classification comprehensive diagnosis model, if the first classification comprehensive diagnosis result includes high-risk malignant information; and a final diagnosis result is obtai
    Type: Application
    Filed: October 31, 2023
    Publication date: February 22, 2024
    Applicant: CANCER HOSPITAL, CHINESE ACADEMY OF MEDICAL SCIENCES
    Inventors: Qing ZHAO, Hongmei ZHANG, Xinming ZHAO
  • Publication number: 20240062915
    Abstract: A system for predicting therapy resistance and its molecular mechanisms in rectal cancer before treatment is provided. The system includes a feature extraction device, a collection device, a signature construction device and a prediction device. The system can predict responses to neoadjuvant therapy in patients before treatment, analyze patients who are resistant to rectal cancer therapy and their underlying molecular mechanism, thereby enabling personalized therapy for patients who are resistant to rectal cancer therapy. The system has important clinical significance in improving the overall survival of rectal cancer patients.
    Type: Application
    Filed: October 31, 2023
    Publication date: February 22, 2024
    Applicant: CANCER HOSPITAL, CHINESE ACADEMY OF MEDICAL SCIENCES
    Inventors: Qing ZHAO, Xu GUAN, Enrui LIU, Ran WEI, Xiaoxiao SONG
  • Publication number: 20240062881
    Abstract: A system for predicting microsatellite instability and a construction method thereof, a terminal device and a medium are provided. Target image information, pathological specimen information and clinical data information of a user to be predicted are acquired by an acquisition module in the system for predicting microsatellite instability; a radiomics signature is generated according to the target image information, and a pathomics signature is generated according to the pathological specimen information, by a signature generation module, based on a pre-trained MSI-H/dMMR multi-omics signature model; and MSI-H/dMMR prediction results are generated according to the radiomics signature, the pathomics signature and the clinical data information, by a prediction generation module, based on a pre-trained MSI-H/dMMR prediction model.
    Type: Application
    Filed: October 31, 2023
    Publication date: February 22, 2024
    Applicant: CANCER HOSPITAL, CHINESE ACADEMY OF MEDICAL SCIENCES
    Inventors: Qing ZHAO, Hongxia ZHONG, Hongmei ZHANG, Xinming ZHAO
  • Patent number: 11541250
    Abstract: A method for planning a scan path for intraoperative radiation therapy may comprise acquiring a plurality of images of a region of interest through an auxiliary scanning component, establishing a 3D model of the region of interest based on the plurality of images of the region of interest, determining a radiation therapy volume based on the 3D model of the region of interest, and planning a scan path for a radiation therapy component to scan the radiation therapy volume.
    Type: Grant
    Filed: May 14, 2018
    Date of Patent: January 3, 2023
    Assignee: Cancer Hospital, Chinese Academy of Medical Sciences
    Inventors: Jianrong Dai, Pan Ma, Chuanmeng Niu, Minghui Li
  • Patent number: 11110302
    Abstract: A multi-robotic arm apparatus for intraoperative radiotherapy is provided. The apparatus may comprise a chassis, a main robotic arm mounted on the chassis for moving a radiation head installed at an end thereof, a first robotic arm mounted on the chassis having a first robotic arm end gripper for gripping an imaging device or a treatment applicator; and a second robotic arm mounted on the chassis having a second robotic arm end gripper for gripping a simulation applicator.
    Type: Grant
    Filed: May 14, 2018
    Date of Patent: September 7, 2021
    Assignee: Cancer Hospital, Chinese Academy of Medical Sciences
    Inventors: Jianrong Dai, Chuanmeng Niu, Pan Ma, Minghui Li
  • Patent number: 10359426
    Abstract: The present invention relates to a method for diagnosing lung cancers such as non-small lung cancer in a subject by using isocitrate dehydrogenase 1 as a diagnostic biomarker. The present invention also relates to a method for predicting the prognosis of the lung cancers such as non-small lung cancer in a subject by using isocitrate dehydrogenase 1 as a prognostic biomarker. The present invention further relates to a method of suppressing proliferation of lung tumor cells in a subject, decreasing growth of lung tumor cells in a subject, or improving survival of a subject with lung cancer by using isocitrate dehydrogenase 1 as a therapeutic target.
    Type: Grant
    Filed: September 28, 2017
    Date of Patent: July 23, 2019
    Assignee: Cancer Hospital, Chinese Academy of Medical Sciences
    Inventors: Jie He, Fengwei Tan, Zhaoli Chen, Nan Sun
  • Patent number: 9797904
    Abstract: The present invention relates to a method for diagnosing the lung cancers such as non small lung cancer in a subject by using isocitrate dehydrogenase 1 as a diagnostic biomarker. The present invention also relates to a method for predicting the prognosis of the lung cancers such as non small lung cancer in a subject by using isocitrate dehydrogenase 1 as a prognostic biomarker. The present invention further relates to a method to suppress proliferation of lung tumor cells in a subject, decrease growth of lung tumor cells in a subject, or improve survival of a subject with lung cancer by using isocitrate dehydrogenase 1 as a therapeutic target.
    Type: Grant
    Filed: September 13, 2012
    Date of Patent: October 24, 2017
    Assignee: Cancer Hospital, Chinese Academy of Medical Sciences
    Inventors: Jie He, Fengwei Tan, Zhaoli Chen, Nan Sun