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  1. Book: Radiology for surgeons in clinical practice

    Sala, Evis

    (Radiology)

    2008  

    Author's details Evis Sala
    Series title Radiology
    Language English
    Size XI, 139 S. : Ill.
    Publisher Springer
    Publishing place London
    Publishing country Great Britain
    Document type Book
    HBZ-ID HT015524087
    ISBN 978-1-8480-0095-7 ; 1-8480-0095-2 ; 9781848000964 ; 1848000960
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2008 A 2702 order for loan Magazin

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  2. Book ; Online: Radiology of the Stomach and Duodenum

    Freeman, Alan H. / Sala, Evis

    2008  

    Author's details edited by Alan H. Freeman, Evis Sala
    Keywords Gastroenterology ; Oncology ; Radiology, Medical
    Language English
    Publisher Springer-Verlag Berlin Heidelberg
    Publishing place Berlin, Heidelberg
    Document type Book ; Online
    HBZ-ID TT050387740
    ISBN 978-3-540-42462-8 ; 978-3-540-49897-1 ; 3-540-42462-8 ; 3-540-49897-4
    DOI 10.1007/978-3-540-49897-1
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Article ; Online: Artificial intelligence in female pelvic oncology: tailoring applications to clinical needs.

    Russo, Luca / Bottazzi, Silvia / Sala, Evis

    European radiology

    2023  

    Language English
    Publishing date 2023-11-22
    Publishing country Germany
    Document type Editorial
    ZDB-ID 1085366-2
    ISSN 1432-1084 ; 0938-7994 ; 1613-3749
    ISSN (online) 1432-1084
    ISSN 0938-7994 ; 1613-3749
    DOI 10.1007/s00330-023-10455-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3300: 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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  4. Book ; Online: Radiology for Surgeons in Clinical Practice

    Sala, Evis / Freeman, Alan H. / Lomas, David J. / Ringl, Helmut

    2008  

    Author's details by Evis Sala, David J. Lomas, Alan H. Freeman, Helmut Ringl
    Keywords Radiology, Medical ; Surgery
    Language English
    Publisher Springer Science+Business Media, LLC
    Publishing place London
    Document type Book ; Online
    HBZ-ID TT050387280
    ISBN 978-1-8480-0095-7 ; 978-1-8480-0096-4 ; 1-8480-0095-2 ; 1-8480-0096-0
    DOI 10.1007/978-1-84800-096-4
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  5. Article ; Online: Artificial Intelligence in Radiology: The Computer's Helping Hand Needs Guidance.

    Sala, Evis / Ursprung, Stephan

    Radiology. Artificial intelligence

    2020  Volume 2, Issue 6, Page(s) e200207

    Language English
    Publishing date 2020-11-11
    Publishing country United States
    Document type Journal Article ; Comment
    ISSN 2638-6100
    ISSN (online) 2638-6100
    DOI 10.1148/ryai.2020200207
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Precision radiogenomics: fusion biopsies to target tumour habitats in vivo.

    Crispin-Ortuzar, Mireia / Sala, Evis

    British journal of cancer

    2021  Volume 125, Issue 6, Page(s) 778–779

    Abstract: High-grade serous ovarian cancer lesions display a high degree of heterogeneity on CT scans. We have recently shown that regions with distinct imaging profiles can be accurately biopsied in vivo using a technique based on the fusion of CT and ultrasound ... ...

    Abstract High-grade serous ovarian cancer lesions display a high degree of heterogeneity on CT scans. We have recently shown that regions with distinct imaging profiles can be accurately biopsied in vivo using a technique based on the fusion of CT and ultrasound scans.
    MeSH term(s) Cystadenocarcinoma, Serous/diagnosis ; Cystadenocarcinoma, Serous/genetics ; Cystadenocarcinoma, Serous/pathology ; Female ; Genomics/methods ; Humans ; Image-Guided Biopsy/methods ; Neoplasm Grading ; Ovarian Neoplasms/diagnosis ; Ovarian Neoplasms/genetics ; Ovarian Neoplasms/pathology ; Precision Medicine ; Tomography, X-Ray Computed ; Ultrasonography
    Language English
    Publishing date 2021-04-16
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 80075-2
    ISSN 1532-1827 ; 0007-0920
    ISSN (online) 1532-1827
    ISSN 0007-0920
    DOI 10.1038/s41416-021-01381-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Uh III Zs.142: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  7. Article ; Online: BJR

    Nougaret, Stephanie / Vargas, Hebert Alberto / Sala, Evis

    The British journal of radiology

    2021  Volume 94, Issue 1125, Page(s) 20219003

    MeSH term(s) Female ; Humans ; Leiomyosarcoma/diagnostic imaging ; Medical Oncology ; Neoplasm Staging ; Urogenital Neoplasms/diagnostic imaging ; Urogenital Neoplasms/pathology ; Urogenital System
    Language English
    Publishing date 2021-08-20
    Publishing country England
    Document type Editorial ; Introductory Journal Article
    ZDB-ID 2982-8
    ISSN 1748-880X ; 0007-1285
    ISSN (online) 1748-880X
    ISSN 0007-1285
    DOI 10.1259/bjr.20219003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ue I Zs.11: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  8. Article ; Online: Radiomics and Radiogenomics of Ovarian Cancer: Implications for Treatment Monitoring and Clinical Management.

    Panico, Camilla / Avesani, Giacomo / Zormpas-Petridis, Konstantinos / Rundo, Leonardo / Nero, Camilla / Sala, Evis

    Radiologic clinics of North America

    2023  Volume 61, Issue 4, Page(s) 749–760

    Abstract: Ovarian cancer, one of the deadliest gynecologic malignancies, is characterized by high intra- and inter-site genomic and phenotypic heterogeneity. The traditional information provided by the conventional interpretation of diagnostic imaging studies ... ...

    Abstract Ovarian cancer, one of the deadliest gynecologic malignancies, is characterized by high intra- and inter-site genomic and phenotypic heterogeneity. The traditional information provided by the conventional interpretation of diagnostic imaging studies cannot adequately represent this heterogeneity. Radiomics analyses can capture the complex patterns related to the microstructure of the tissues and provide quantitative information about them. This review outlines how radiomics and its integration with other quantitative biological information, like genomics and proteomics, can impact the clinical management of ovarian cancer.
    MeSH term(s) Humans ; Female ; Ovarian Neoplasms/diagnostic imaging ; Ovarian Neoplasms/genetics ; Diagnostic Imaging ; Genomics/methods
    Language English
    Publishing date 2023-03-31
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 215712-3
    ISSN 1557-8275 ; 0033-8389
    ISSN (online) 1557-8275
    ISSN 0033-8389
    DOI 10.1016/j.rcl.2023.02.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ue I Zs.276: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  9. Article ; Online: The Utility of Contrast-Enhanced Magnetic Resonance Imaging in Uterine Cervical Cancer

    Giacomo Avesani / Alessio Perazzolo / Andrea Amerighi / Veronica Celli / Camilla Panico / Evis Sala / Benedetta Gui

    Life, Vol 13, Iss 1368, p

    A Systematic Review

    2023  Volume 1368

    Abstract: Correct staging of cervical cancer is essential to establish the best therapeutic procedure and prognosis for the patient. MRI is the best imaging modality for local staging and follow-up. According to the latest ESUR guidelines, T2WI and DWI-MR ... ...

    Abstract Correct staging of cervical cancer is essential to establish the best therapeutic procedure and prognosis for the patient. MRI is the best imaging modality for local staging and follow-up. According to the latest ESUR guidelines, T2WI and DWI-MR sequences are fundamental in these settings, and CE-MRI remains optional. This systematic review, according to the PRISMA 2020 checklist, aims to give an overview of the literature regarding the use of contrast in MRI in cervical cancer and provide more specific indications of when it may be helpful. Systematic searches on PubMed and Web Of Science (WOS) were performed, and 97 papers were included; 1 paper was added considering the references of included articles. From our literature review, it emerged that many papers about the use of contrast in cervical cancer are dated, especially about staging and detection of tumor recurrence. We did not find strong evidence suggesting that CE-MRI is helpful in any clinical setting for cervical cancer staging and detection of tumor recurrence. There is growing evidence that perfusion parameters and perfusion-derived radiomics models might have a role as prognostic and predictive biomarkers, but the lack of standardization and validation limits their use in a research setting.
    Keywords cervical ; cancer ; MRI ; CE-MRI ; contrast ; Science ; Q
    Subject code 610
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article: Technological Advancements in Interventional Oncology.

    Posa, Alessandro / Barbieri, Pierluigi / Mazza, Giulia / Tanzilli, Alessandro / Natale, Luigi / Sala, Evis / Iezzi, Roberto

    Diagnostics (Basel, Switzerland)

    2023  Volume 13, Issue 2

    Abstract: Interventional radiology, and particularly interventional oncology, represents one of the medical subspecialties in which technological advancements and innovations play an utterly fundamental role. Artificial intelligence, consisting of big data ... ...

    Abstract Interventional radiology, and particularly interventional oncology, represents one of the medical subspecialties in which technological advancements and innovations play an utterly fundamental role. Artificial intelligence, consisting of big data analysis and feature extrapolation through computational algorithms for disease diagnosis and treatment response evaluation, is nowadays playing an increasingly important role in various healthcare fields and applications, from diagnosis to treatment response prediction. One of the fields which greatly benefits from artificial intelligence is interventional oncology. In addition, digital health, consisting of practical technological applications, can assist healthcare practitioners in their daily activities. This review aims to cover the most useful, established, and interesting artificial intelligence and digital health innovations and updates, to help physicians become more and more involved in their use in clinical practice, particularly in the field of interventional oncology.
    Language English
    Publishing date 2023-01-07
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2662336-5
    ISSN 2075-4418
    ISSN 2075-4418
    DOI 10.3390/diagnostics13020228
    Database MEDical Literature Analysis and Retrieval System OnLINE

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