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  1. Book ; Online ; E-Book: Therapy Response Imaging in Oncology

    Nishino, Mizuki

    (Diagnostic Imaging)

    2020  

    Abstract: This book is a detailed guide to therapy response imaging in cancer patients that fully takes into account the revolutionary progress and paradigm shift in treatment approaches for advanced disease. The opening chapters describe the role of imaging as a “ ...

    Author's details edited by Mizuki Nishino
    Series title Diagnostic Imaging
    Abstract This book is a detailed guide to therapy response imaging in cancer patients that fully takes into account the revolutionary progress and paradigm shift in treatment approaches for advanced disease. The opening chapters describe the role of imaging as a “common language” for tumor response evaluation in oncology and address challenges and strategies in the era of precision cancer therapy and cancer immunotherapy. Practical pitfalls are discussed, with emphasis on the importance of approaching cancer as a systemic disease and the need for increased awareness of drug toxicity due to novel therapies. Therapy response imaging in a wide range of cancer types is then comprehensively described and illustrated, using a disease-specific approach. A concluding section focuses on emerging approaches and future directions, including radiomics/radiogenomics, co-clinical imaging, and molecular and functional imaging. Therapy Response Imaging in Oncology will be of high value for radiologists, nuclear medicine physicians, and oncologists. It will also be of interest to cancer care providers and oncology trial investigators.
    Keywords Radiology ; Oncology   ; Diagnostic Radiology ; Oncology
    Subject code 616.994
    Language English
    Size 1 online resource (VIII, 272 p. 131 illus., 52 illus. in color.)
    Edition 1st ed. 2020.
    Publisher Springer International Publishing ; Imprint: Springer
    Publishing place Cham
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 3-030-31171-6 ; 3-030-31170-8 ; 978-3-030-31171-1 ; 978-3-030-31170-4
    DOI 10.1007/978-3-030-31171-1
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Jellyfish Sign for Visceral Pleural Invasion in Lung Cancer: Reviving the Lost Art of Radiology.

    Nishino, Mizuki

    Radiology

    2024  Volume 310, Issue 1, Page(s) e233171

    MeSH term(s) Humans ; Lung Neoplasms/diagnostic imaging ; Radiography ; Radiology
    Language English
    Publishing date 2024-01-09
    Publishing country United States
    Document type Editorial
    ZDB-ID 80324-8
    ISSN 1527-1315 ; 0033-8419
    ISSN (online) 1527-1315
    ISSN 0033-8419
    DOI 10.1148/radiol.233171
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Radiomics-based Cluster Groups to Predict Clinical-Pathologic and Genomic Characteristics of Stage I Lung Adenocarcinoma.

    Nishino, Mizuki

    Radiology

    2022  Volume 303, Issue 3, Page(s) 673–674

    MeSH term(s) Adenocarcinoma of Lung/pathology ; Genomics ; Humans ; Lung Neoplasms/pathology ; Tomography, X-Ray Computed
    Language English
    Publishing date 2022-03-01
    Publishing country United States
    Document type Editorial ; Research Support, N.I.H., Extramural ; Comment
    ZDB-ID 80324-8
    ISSN 1527-1315 ; 0033-8419
    ISSN (online) 1527-1315
    ISSN 0033-8419
    DOI 10.1148/radiol.213015
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Invited Commentary: Pearls and Pitfalls in Imaging Evaluation of Lung Cancer Immunotherapy.

    Nishino, Mizuki

    Radiographics : a review publication of the Radiological Society of North America, Inc

    2022  Volume 42, Issue 7, Page(s) E205–E207

    MeSH term(s) Humans ; Carcinoma, Non-Small-Cell Lung ; Immune Checkpoint Inhibitors ; Lung Neoplasms ; Immunotherapy ; Diagnostic Imaging
    Chemical Substances Immune Checkpoint Inhibitors
    Language English
    Publishing date 2022-10-14
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 603172-9
    ISSN 1527-1323 ; 0271-5333
    ISSN (online) 1527-1323
    ISSN 0271-5333
    DOI 10.1148/rg.220170
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Advances in Thoracic Imaging: Key Developments in the Past Decade and Future Directions.

    Nishino, Mizuki / Schiebler, Mark L

    Radiology

    2023  Volume 306, Issue 2, Page(s) e222536

    MeSH term(s) Humans ; Forecasting ; Diagnostic Imaging/trends ; Thorax/diagnostic imaging
    Language English
    Publishing date 2023-01-10
    Publishing country United States
    Document type Editorial
    ZDB-ID 80324-8
    ISSN 1527-1315 ; 0033-8419
    ISSN (online) 1527-1315
    ISSN 0033-8419
    DOI 10.1148/radiol.222536
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Imaging of Oncologic Treatment-Related Pneumonitis: A Focused Review on Emerging Issues of Immune Checkpoint Inhibitor Pneumonitis, From the

    Nishino, Mizuki

    AJR. American journal of roentgenology

    2021  Volume 218, Issue 1, Page(s) 19–27

    Abstract: Treatment-related pneumonitis represents a major challenge in oncology patients undergoing therapy, and imaging plays an essential role in detection, diagnosis, and monitoring of pneumonitis in these patients. Among various types of pneumonitis from ... ...

    Abstract Treatment-related pneumonitis represents a major challenge in oncology patients undergoing therapy, and imaging plays an essential role in detection, diagnosis, and monitoring of pneumonitis in these patients. Among various types of pneumonitis from different kinds of cancer treatments, immune checkpoint inhibitor (ICI)-related pneumonitis has been recognized as an important topic in the radiology and oncology communities since 2015, given the increasing clinical indications for ICI therapy in patients with cancer. Moreover, clinical applications of ICIs continue to advance rapidly with novel combination approaches, leading to further emerging challenges. This focused review describes the current knowledge about ICI pneumonitis and discusses several newly emerging issues involving recurrence and flare of ICI pneumonitis, as well as involving pneumonitis from new combination approaches including ICI with epidermal growth factor receptor (EGFR) inhibitors and ICI with radiotherapy. The article concludes with a summary of unmet needs in the care of patients with ICI pneumonitis as well as of future directions in the advancement of knowledge about ICI pneumonitis and patient care for ICI pneumonitis. Given the proven multifaceted value of imaging in ICI pneumonitis, radiologists will remain central in the ongoing multidisciplinary journey to further understand and overcome this challenging toxicity for patients with cancer.
    MeSH term(s) Humans ; Immune Checkpoint Inhibitors/adverse effects ; Immune Checkpoint Inhibitors/therapeutic use ; Immunotherapy/adverse effects ; Lung/diagnostic imaging ; Medical Oncology ; Neoplasms/immunology ; Neoplasms/therapy ; Pneumonia/diagnostic imaging ; Pneumonia/etiology ; Radiography/methods
    Chemical Substances Immune Checkpoint Inhibitors
    Language English
    Publishing date 2021-02-17
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 82076-3
    ISSN 1546-3141 ; 0361-803X ; 0092-5381
    ISSN (online) 1546-3141
    ISSN 0361-803X ; 0092-5381
    DOI 10.2214/AJR.21.25454
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: If Only We Had a Time Machine: Prior CT in Deep Learning for Lung Nodule Prognostication.

    Horst, Carolyn / Nishino, Mizuki

    Radiology

    2023  Volume 308, Issue 2, Page(s) e231560

    MeSH term(s) Humans ; Deep Learning ; Neural Networks, Computer ; Lung Neoplasms/diagnostic imaging ; Lung ; Tomography, X-Ray Computed ; Solitary Pulmonary Nodule/diagnostic imaging
    Language English
    Publishing date 2023-08-01
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 80324-8
    ISSN 1527-1315 ; 0033-8419
    ISSN (online) 1527-1315
    ISSN 0033-8419
    DOI 10.1148/radiol.231560
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Quantitative Texture Analysis of Interstitial Lung Abnormalities Opens a New Chapter for Chest CT Interpretation.

    Egashira, Ryoko / Nishino, Mizuki

    Radiology

    2023  Volume 307, Issue 4, Page(s) e230469

    MeSH term(s) Humans ; Lung Neoplasms ; Early Detection of Cancer ; Prevalence ; Deep Learning ; Lung Diseases ; Tomography, X-Ray Computed ; Lung/diagnostic imaging ; Republic of Korea
    Language English
    Publishing date 2023-04-25
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 80324-8
    ISSN 1527-1315 ; 0033-8419
    ISSN (online) 1527-1315
    ISSN 0033-8419
    DOI 10.1148/radiol.230469
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Radiomics to Predict Invasiveness of Part-Solid Adenocarcinoma of the Lung.

    Nishino, Mizuki

    Radiology

    2020  Volume 297, Issue 2, Page(s) 459–461

    MeSH term(s) Adenocarcinoma/diagnostic imaging ; Adenocarcinoma of Lung/diagnostic imaging ; Humans ; Lung/diagnostic imaging ; Lung Neoplasms/diagnostic imaging ; Thorax ; Tomography, X-Ray Computed
    Language English
    Publishing date 2020-08-25
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 80324-8
    ISSN 1527-1315 ; 0033-8419
    ISSN (online) 1527-1315
    ISSN 0033-8419
    DOI 10.1148/radiol.2020202273
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: CT Volumetry for Lung-RADS Classification of Solid Nodules.

    Nishino, Mizuki

    Radiology

    2020  Volume 297, Issue 3, Page(s) 685–686

    MeSH term(s) Humans ; Lung/diagnostic imaging ; Lung Neoplasms/diagnostic imaging ; Multiple Pulmonary Nodules/diagnostic imaging ; Observer Variation ; Tomography, X-Ray Computed
    Language English
    Publishing date 2020-09-15
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 80324-8
    ISSN 1527-1315 ; 0033-8419
    ISSN (online) 1527-1315
    ISSN 0033-8419
    DOI 10.1148/radiol.2020203298
    Database MEDical Literature Analysis and Retrieval System OnLINE

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