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    Home > Active Ingredient News > Antitumor Therapy > Euro Radio: A new review of assessing pancreatic lesions using imaging histology

    Euro Radio: A new review of assessing pancreatic lesions using imaging histology

    • Last Update: 2020-12-22
    • Source: Internet
    • Author: User
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    Objective: To systematically review published research on pancreatic imaging histology.
    : This retrospective study is searched in the MEDLINE database.
    including the application of imaging histology to pancreatic diseases in human studies.
    the imaging histological quality score for each included in the study.
    : a total of 72 studies were included, covering 8,863 participants.
    , 66 cases of lesions (including pancreatic cancer, pre-cancer lesions and benign lesions), 4 cases of pancreatitis and 2 diabetes were studied.
    applications of
    imaging histology include the identification and diagnosis of various types of lesions of the bureau (n s 19), the classification of pancreatic disease (n s 23), and the prediction of prognostic or therapeutic response (n s 30).
    Second-order texture features are the best for the identification and diagnosis of pancreatic diseases (all studies have found them to be statistically significant), while filtered image features are most relevant for the classification of pancreatic diseases and the prediction of pancreatic diseases (all studies have found them to be statistically significant).
    of the study was 28%, and the four-point pitch was 22% to 36%.
    image histological quality score was significantly related to the number of discharged histological features extracted (r s 0.52, p slt;0.001) and the study sample size (r s 0.34, p s 0.003).
    : Pancreatic imaging histology is expected to become a quantitative imaging biomarker for lesions and pancreatic diffuse changes.
    usefulness of imagetology may vary depending on the purpose of its application.
    the use of pancreatic imaging histology in conventional clinical practice is premised on the need to ensure the standardization of image acquisition protocols and image pre-processing.
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