Title:
DIAGNOSTIC IMAGING ASSISTANCE DEVICE, DIAGNOSTIC IMAGING ASSISTANCE METHOD, AND DIAGNOSTIC IMAGING ASSISTANCE PROGRAM
Document Type and Number:
WIPO Patent Application WO/2022/225004
Kind Code:
A1
Abstract:
A diagnostic imaging assistance device 1 comprises: a first acquisition unit 10 for acquiring an image of a head through MRI; an image processing unit 11 for extracting a region containing information on a lesion site and the periphery of the lesion site from the acquired image of the head and generating a first image having the extracted region; an extraction unit 12 for extracting a predetermined image feature amount from the first image; a classification unit 14 for determining, on the basis of the image feature amount extracted by the extraction unit 12, the presence or absence of a molecular biological marker related to the lesion site for classification using a pre-constructed classifier; and a presentation unit 15 for presenting assistance information related to whether or not the lesion site included in the image of the head has the molecular biological marker, on the basis of the result of the classification by the classification unit 14.
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Inventors:
SASAKI HIKARU (JP)
KANAZAWA TOKUNORI (JP)
NAKAYA MASATO (JP)
FUJIWARA HIROKAZU (JP)
HASHIMOTO MASAHIRO (JP)
KOBAYASHI TATSUAKI (JP)
KANAZAWA TOKUNORI (JP)
NAKAYA MASATO (JP)
FUJIWARA HIROKAZU (JP)
HASHIMOTO MASAHIRO (JP)
KOBAYASHI TATSUAKI (JP)
Application Number:
PCT/JP2022/018405
Publication Date:
October 27, 2022
Filing Date:
April 21, 2022
Export Citation:
Assignee:
UNIV KEIO (JP)
International Classes:
A61B5/055; G06T7/00
Domestic Patent References:
| WO2019170711A1 | 2019-09-12 |
Foreign References:
| US20200027557A1 | 2020-01-23 |
Other References:
CHENG JIANHONG; LIU JIN; YUE HAILIN; BAI HARRISON; PAN YI; WANG JIANXIN: "Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images", IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, IEEE SERVICE CENTER, NEW YORK, NY., US, vol. 19, no. 2, 26 October 2020 (2020-10-26), US , pages 1084 - 1095, XP011904837, ISSN: 1545-5963, DOI: 10.1109/TCBB.2020.3033538
CASALE ROBERTO, LAVROVA ELIZAVETA, SANDULEANU SEBASTIAN, WOODRUFF HENRY C., LAMBIN PHILIPPE: "Development and external validation of a non-invasive molecular status predictor of chromosome 1p/19q co-deletion based on MRI radiomics analysis of Low Grade Glioma patients", EUROPEAN JOURNAL OF RADIOLOGY., ELSEVIER SCIENCE., NL, vol. 139, 1 June 2021 (2021-06-01), NL , pages 109678, XP055980294, ISSN: 0720-048X, DOI: 10.1016/j.ejrad.2021.109678
KONG ZIREN, JIANG CHENDAN, ZHANG YIWEI, LIU SIRUI, LIU DELIN, LIU ZEYU, CHEN WENLIN, LIU PENGHAO, YANG TIANRUI, LYU YUELEI, ZHAO D: "Thin-Slice Magnetic Resonance Imaging-Based Radiomics Signature Predicts Chromosomal 1p/19q Co-deletion Status in Grade II and III Gliomas", FRONTIERS IN NEUROLOGY, vol. 11, 22 October 2020 (2020-10-22), pages 1 - 10, XP055980299, DOI: 10.3389/fneur.2020.551771
HAN YUQI; XIE ZHEN; ZANG YALI; ZHANG SHUAITONG; GU DONGSHENG; WEI JINGWEI; LI CHAO; CHEN HONGYAN; DU JIANG; DONG DI; TIAN JIE; ZHO: "Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas", PROGRESS IN BIOMEDICAL OPTICS AND IMAGING, SPIE - INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING, BELLINGHAM, WA, US, vol. 10950, 13 March 2019 (2019-03-13), BELLINGHAM, WA, US , pages 109502B - 109502B-6, XP060119955, ISSN: 1605-7422, ISBN: 978-1-5106-0027-0, DOI: 10.1117/12.2511501
GONZĂLEZ S.R., ZEMMOURA I., TAUBER C.: "Deep Convolutional Neural Network to predict 1p19q co-deletion and IDH1 mutation status from MRI in Low Grade Gliomas", 10TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION SYSTEMS (ICPRS-2019), INSTITUTION OF ENGINEERING AND TECHNOLOGY, 8 July 2019 (2019-07-08) - 10 July 2019 (2019-07-10), pages 7 - 11, XP055980307, ISBN: 978-1-83953-108-8, DOI: 10.1049/cp.2019.0240
Denshi Jouhou Tsuushin Gakkai ; 1 July 2019 (2019-07-01), HIRANA NAE, RYOICHI UCHIYAMA , JUNJI SHIRAISHI : "Estimation of gene mutations in brain tumors using radiomics", XP009540509
CASALE ROBERTO, LAVROVA ELIZAVETA, SANDULEANU SEBASTIAN, WOODRUFF HENRY C., LAMBIN PHILIPPE: "Development and external validation of a non-invasive molecular status predictor of chromosome 1p/19q co-deletion based on MRI radiomics analysis of Low Grade Glioma patients", EUROPEAN JOURNAL OF RADIOLOGY., ELSEVIER SCIENCE., NL, vol. 139, 1 June 2021 (2021-06-01), NL , pages 109678, XP055980294, ISSN: 0720-048X, DOI: 10.1016/j.ejrad.2021.109678
KONG ZIREN, JIANG CHENDAN, ZHANG YIWEI, LIU SIRUI, LIU DELIN, LIU ZEYU, CHEN WENLIN, LIU PENGHAO, YANG TIANRUI, LYU YUELEI, ZHAO D: "Thin-Slice Magnetic Resonance Imaging-Based Radiomics Signature Predicts Chromosomal 1p/19q Co-deletion Status in Grade II and III Gliomas", FRONTIERS IN NEUROLOGY, vol. 11, 22 October 2020 (2020-10-22), pages 1 - 10, XP055980299, DOI: 10.3389/fneur.2020.551771
HAN YUQI; XIE ZHEN; ZANG YALI; ZHANG SHUAITONG; GU DONGSHENG; WEI JINGWEI; LI CHAO; CHEN HONGYAN; DU JIANG; DONG DI; TIAN JIE; ZHO: "Non-invasive genotype prediction of chromosome 1p/19q co-deletion by development and validation of an MRI-based radiomics signature in lower-grade gliomas", PROGRESS IN BIOMEDICAL OPTICS AND IMAGING, SPIE - INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING, BELLINGHAM, WA, US, vol. 10950, 13 March 2019 (2019-03-13), BELLINGHAM, WA, US , pages 109502B - 109502B-6, XP060119955, ISSN: 1605-7422, ISBN: 978-1-5106-0027-0, DOI: 10.1117/12.2511501
GONZĂLEZ S.R., ZEMMOURA I., TAUBER C.: "Deep Convolutional Neural Network to predict 1p19q co-deletion and IDH1 mutation status from MRI in Low Grade Gliomas", 10TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION SYSTEMS (ICPRS-2019), INSTITUTION OF ENGINEERING AND TECHNOLOGY, 8 July 2019 (2019-07-08) - 10 July 2019 (2019-07-10), pages 7 - 11, XP055980307, ISBN: 978-1-83953-108-8, DOI: 10.1049/cp.2019.0240
Denshi Jouhou Tsuushin Gakkai ; 1 July 2019 (2019-07-01), HIRANA NAE, RYOICHI UCHIYAMA , JUNJI SHIRAISHI : "Estimation of gene mutations in brain tumors using radiomics", XP009540509
Attorney, Agent or Firm:
YAMAMOTO, Osamu et al. (JP)
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