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  1. Article ; Online: Perspective gastrointestinal endoscopy infection control strategy against COVID-19: Workflow and space management for the operation of endoscopic centers.

    Onoyama, Takumi / Isomoto, Hajime

    Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society

    2020  Volume 33, Issue 4, Page(s) 549–551

    MeSH term(s) COVID-19/prevention & control ; Endoscopy ; Endoscopy, Gastrointestinal/methods ; Humans ; Infection Control/methods ; Infectious Disease Transmission, Patient-to-Professional/prevention & control ; Pandemics ; SARS-CoV-2 ; Workflow
    Keywords covid19
    Language English
    Publishing date 2020-09-17
    Publishing country Australia
    Document type Editorial
    ZDB-ID 1171589-3
    ISSN 1443-1661 ; 0915-5635
    ISSN (online) 1443-1661
    ISSN 0915-5635
    DOI 10.1111/den.13804
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3854: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  2. Article ; Online: Gastric cancer and genomics: review of literature.

    Onoyama, Takumi / Ishikawa, Shumpei / Isomoto, Hajime

    Journal of gastroenterology

    2022  Volume 57, Issue 8, Page(s) 505–516

    Abstract: Gastric cancer (GC) is a major health concern in many countries. GC is a heterogeneous disease stratified by histopathological differences. However, these variations are not used to determine GC management. Next-generation sequencing (NGS) technologies ... ...

    Abstract Gastric cancer (GC) is a major health concern in many countries. GC is a heterogeneous disease stratified by histopathological differences. However, these variations are not used to determine GC management. Next-generation sequencing (NGS) technologies have become widely used, and cancer genomic analysis has recently revealed the relationships between various malignant tumors and genomic information. In 2014, studies using whole-exome sequencing (WES) and whole-genome sequencing (WGS) for GC revealed the entire structure of GC genomics. Genomics with NGS has been used to identify new therapeutic targets for GC. Moreover, personalized medicine to provide specific therapy for targets based on multiplex gene panel testing of tumor tissues has become of clinical use. Recently, immune checkpoint inhibitors (ICIs) have been used for GC treatment; however, their response rates are limited. To predict the anti-tumor effects of ICIs for GC and to select patients suitable for ICI treatment, genomics also provides informative data not only of tumors but also of tumor microenvironments, such as tumor-infiltrating lymphocytes. In therapeutic strategies for unresectable or recurrent malignant tumors, the target is not only the primary lesion but also metastatic lesions, and metastatic lesions are often resistant to chemotherapy. Unlike colorectal carcinoma, there is a heterogeneous status of genetic variants between the primary and metastatic lesions in GC. Liquid biopsy analysis is also helpful for predicting the genomic status of both primary and metastatic lesions. Genomics has become an indispensable tool for GC treatment and is expected to be further developed in the future.
    MeSH term(s) Genomics ; High-Throughput Nucleotide Sequencing ; Humans ; Neoplasm Recurrence, Local ; Precision Medicine ; Stomach Neoplasms/drug therapy ; Stomach Neoplasms/genetics ; Stomach Neoplasms/pathology ; Tumor Microenvironment
    Language English
    Publishing date 2022-06-25
    Publishing country Japan
    Document type Journal Article ; Review
    ZDB-ID 1186495-3
    ISSN 1435-5922 ; 0944-1174
    ISSN (online) 1435-5922
    ISSN 0944-1174
    DOI 10.1007/s00535-022-01879-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 620: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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  3. Article ; Online: COVID-19 and gastrointestinal endoscopy: Importance of reducing SARS-CoV-2 infection risks of medical workers and preserving personal protective equipment resources.

    Onoyama, Takumi / Isomoto, Hajime

    Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society

    2020  Volume 32, Issue 5, Page(s) 732–735

    MeSH term(s) COVID-19 ; Coronavirus Infections/epidemiology ; Coronavirus Infections/prevention & control ; Endoscopy, Gastrointestinal/methods ; Female ; Health Personnel ; Health Resources ; Humans ; Male ; Occupational Health/statistics & numerical data ; Pandemics/prevention & control ; Pandemics/statistics & numerical data ; Personal Protective Equipment/economics ; Personal Protective Equipment/statistics & numerical data ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/prevention & control ; Severe Acute Respiratory Syndrome/prevention & control ; World Health Organization
    Keywords covid19
    Language English
    Publishing date 2020-06-18
    Publishing country Australia
    Document type Editorial
    ZDB-ID 1171589-3
    ISSN 1443-1661 ; 0915-5635
    ISSN (online) 1443-1661
    ISSN 0915-5635
    DOI 10.1111/den.13720
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3854: Show issues Location:
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  4. Article ; Online: How to manage esophageal squamous cell carcinoma invading into the muscularis mucosa or submucosa after endoscopic resection.

    Kurumi, Hiroki / Onoyama, Takumi / Isomoto, Hajime

    Journal of gastroenterology

    2021  Volume 56, Issue 10, Page(s) 949–950

    MeSH term(s) Endoscopic Mucosal Resection/methods ; Esophageal Squamous Cell Carcinoma/physiopathology ; Esophageal Squamous Cell Carcinoma/surgery ; Humans ; Mucous Membrane/abnormalities ; Mucous Membrane/surgery
    Language English
    Publishing date 2021-08-04
    Publishing country Japan
    Document type Editorial
    ZDB-ID 1186495-3
    ISSN 1435-5922 ; 0944-1174
    ISSN (online) 1435-5922
    ISSN 0944-1174
    DOI 10.1007/s00535-021-01816-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 620: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    ab Jg. 2022: Lesesaal (EG)

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  5. Article ; Online: Correction: Current status and future perspective of linked color imaging for gastric cancer screening: a literature review.

    Yashima, Kazuo / Onoyama, Takumi / Kurumi, Hiroki / Takeda, Yohei / Yoshida, Akira / Kawaguchi, Koichiro / Yamaguchi, Naoyuki / Isomoto, Hajime

    Journal of gastroenterology

    2023  Volume 58, Issue 5, Page(s) 514

    Language English
    Publishing date 2023-03-08
    Publishing country Japan
    Document type Published Erratum
    ZDB-ID 1186495-3
    ISSN 1435-5922 ; 0944-1174
    ISSN (online) 1435-5922
    ISSN 0944-1174
    DOI 10.1007/s00535-023-01971-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 620: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    ab Jg. 2022: Lesesaal (EG)

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  6. Article ; Online: Registered multi-device/staining histology image dataset for domain-agnostic machine learning models.

    Ochi, Mieko / Komura, Daisuke / Onoyama, Takumi / Shinbo, Koki / Endo, Haruya / Odaka, Hiroto / Kakiuchi, Miwako / Katoh, Hiroto / Ushiku, Tetsuo / Ishikawa, Shumpei

    Scientific data

    2024  Volume 11, Issue 1, Page(s) 330

    Abstract: Variations in color and texture of histopathology images are caused by differences in staining conditions and imaging devices between hospitals. These biases decrease the robustness of machine learning models exposed to out-of-domain data. To address ... ...

    Abstract Variations in color and texture of histopathology images are caused by differences in staining conditions and imaging devices between hospitals. These biases decrease the robustness of machine learning models exposed to out-of-domain data. To address this issue, we introduce a comprehensive histopathology image dataset named PathoLogy Images of Scanners and Mobile phones (PLISM). The dataset consisted of 46 human tissue types stained using 13 hematoxylin and eosin conditions and captured using 13 imaging devices. Precisely aligned image patches from different domains allowed for an accurate evaluation of color and texture properties in each domain. Variation in PLISM was assessed and found to be significantly diverse across various domains, particularly between whole-slide images and smartphones. Furthermore, we assessed the improvement in domain shift using a convolutional neural network pre-trained on PLISM. PLISM is a valuable resource that facilitates the precise evaluation of domain shifts in digital pathology and makes significant contributions towards the development of robust machine learning models that can effectively address challenges of domain shift in histological image analysis.
    MeSH term(s) Humans ; Eosine Yellowish-(YS) ; Image Processing, Computer-Assisted/methods ; Machine Learning ; Neural Networks, Computer ; Staining and Labeling ; Histology ; Histological Techniques
    Chemical Substances Eosine Yellowish-(YS) (TDQ283MPCW)
    Language English
    Publishing date 2024-04-03
    Publishing country England
    Document type Dataset ; Journal Article
    ZDB-ID 2775191-0
    ISSN 2052-4463 ; 2052-4463
    ISSN (online) 2052-4463
    ISSN 2052-4463
    DOI 10.1038/s41597-024-03122-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Partial Stent-in-Stent Method with an Uncovered Self-Expandable Metallic Stent for Unresectable Malignant Hilar Bile Duct Obstruction.

    Shimosaka, Takuya / Takeda, Yohei / Yamashita, Taro / Seki, Yuta / Kawahara, Shiho / Hirai, Takayuki / Suto, Noriyuki / Sakamoto, Yuri / Hamamoto, Wataru / Koda, Hiroki / Onoyama, Takumi / Matsumoto, Kazuya / Yashima, Kazuo / Isomoto, Hajime / Yamaguchi, Naoyuki

    Journal of clinical medicine

    2024  Volume 13, Issue 3

    Abstract: 1) ...

    Abstract (1)
    Language English
    Publishing date 2024-01-31
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662592-1
    ISSN 2077-0383
    ISSN 2077-0383
    DOI 10.3390/jcm13030820
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: COVID-19 and gastrointestinal endoscopy: Importance of reducing SARS-CoV-2 infection risks of medical workers and preserving personal protective equipment resources

    Onoyama, Takumi / Isomoto, Hajime

    Dig Endosc

    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #245441
    Database COVID19

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  9. Article: Perspective gastrointestinal endoscopy infection control strategy against COVID-19: Workflow and space management for the operation of endoscopic centers

    Onoyama, Takumi / Isomoto, Hajime
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #694466
    Database COVID19

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  10. Article ; Online: Useful face-protective shield "ORIGAMI" for gastrointestinal endoscopy during the COVID-19 pandemic.

    Onoyama, Takumi / Fujii, Masashi / Isomoto, Hajime

    Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society

    2020  Volume 32, Issue 6, Page(s) 998

    MeSH term(s) Aerosols ; COVID-19/prevention & control ; Endoscopy, Gastrointestinal ; Equipment Design ; Humans ; Infection Control/methods ; Infectious Disease Transmission, Patient-to-Professional/prevention & control ; Masks ; Pandemics ; Personal Protective Equipment ; SARS-CoV-2
    Chemical Substances Aerosols
    Keywords covid19
    Language English
    Publishing date 2020-08-26
    Publishing country Australia
    Document type Letter
    ZDB-ID 1171589-3
    ISSN 1443-1661 ; 0915-5635
    ISSN (online) 1443-1661
    ISSN 0915-5635
    DOI 10.1111/den.13780
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3854: Show issues Location:
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    ab Jg. 2022: Lesesaal (EG)

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