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  1. Book ; Online ; E-Book: Neurosurgery and global health

    Germano, Isabelle M.

    2022  

    Author's details edited by Isabelle M. Germano
    Keywords Nervous system/Surgery
    Subject code 617.48
    Language English
    Size 1 online resource (377 pages)
    Publisher Springer
    Publishing place Cham, Switzerland
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 9783030866563 ; 9783030866556 ; 3030866564 ; 3030866556
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book: Neurosurgery and Global Health

    Germano, Isabelle M.

    2022  

    Author's details Isabelle M. Germano, MD, MBA Professor of Neurosurgery, Neurology, Oncological Sciences§ Icahn School of Medicine at Mount Sinai§ New York NY§ USA§
    Keywords Neurosurgery Education ; Neuro-Oncology ; Disaster response ; economic impact ; Head trauma ; Cerebrovascular and stroke ; Neuro-oncology ; Disaster Response ; Economic Impact ; Head Trauma
    Language English
    Size 388 p.
    Edition 1
    Publisher Springer International Publishing
    Document type Book
    Note PDA Manuell_13
    Format 160 x 241 x 26
    ISBN 9783030866556 ; 3030866556
    Database PDA

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  3. Book: Advanced techniques in image-guided brain and spine surgery

    Germano, Isabelle M.

    2002  

    Author's details Isabelle M. Germano
    Keywords Hirnchirurgie ; Computerassistierte Chirurgie ; Wirbelsäulenchirurgie
    Subject Navigationschirurgie ; Roboterchirurgie ; Roboterassistierte Chirurgie ; Computer-assistierte Navigationschirurgie ; Computer-assistierte Chirurgie ; computer aided surgery ; CAS ; CANS ; Computergestützte Chirurgie ; Computergestützte Intervention ; Bild geführte Chirurgie ; Chirurgische Navigation ; Wirbelsäule ; Hirnkrankheit ; Hirnoperation ; Gehirnchirurgie
    Language English
    Size XIII, 233 S. : Ill., graph. Darst.
    Publisher Thieme
    Publishing place New York u.a.
    Publishing country United States
    Document type Book
    HBZ-ID HT013399870
    ISBN 3-13-131521-0 ; 1-58890-067-3 ; 978-3-13-131521-2 ; 978-1-58890-067-8
    Database Catalogue ZB MED Medicine, Health

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    Shelf markLoan statusLocation
    2002 A 3534 order for loan Magazin

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  4. Book: Neurosurgical treatment of movement disorders

    Germano, Isabelle M.

    (Neurosurgical topics)

    1998  

    Author's details Isabelle M. Germano, ed
    Series title Neurosurgical topics
    Keywords Movement Disorders / surgery ; Parkinson Disease / surgery ; Neurosurgical Procedures ; Hyperkinesis / surgery
    Language English
    Size XI, 275 S. : Ill., graph. Darst.
    Publisher American Assoc. of Neurological Surgeons
    Publishing place Park Ridge, Ill
    Publishing country United States
    Document type Book
    HBZ-ID HT013325969
    ISBN 1-879284-58-8 ; 978-1-879284-58-6
    Database Catalogue ZB MED Medicine, Health

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    Shelf markLoan statusLocation
    2002 A 4918 order for loan Magazin

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  5. Article ; Online: The Current Landscape of Neurosurgical Oncology in Low-Middle-Income Countries (LMIC): Strategies for the Path Forward.

    Young, Tirone / Tropeano, Maria Pia / Cannizzaro, Delia / Jelmoni, Alice J M / Servadei, Franco / Germano, Isabelle M

    World neurosurgery

    2024  Volume 184, Page(s) e291–e298

    Abstract: Objective: To promote global equity in research, innovation, and care, sharing knowledge and grasping current benchmarks is crucial. Despite LIC/LMIC constituting around 80% of the global population, their contribution to neurosurgery research is less ... ...

    Abstract Objective: To promote global equity in research, innovation, and care, sharing knowledge and grasping current benchmarks is crucial. Despite LIC/LMIC constituting around 80% of the global population, their contribution to neurosurgery research is less than 5%. This study aims to assess the status of neurosurgical oncology in LIC/LMIC using published data, offering strategic insights for progress.
    Methods: Conducting a retrospective bibliometric analysis via PubMed and Scopus databases, we documented reports published (2015-2021) by neurosurgical department-affiliated investigators in LICs/LMICs. World Bank classifications identified LIC and LMIC. Reviewed papers underwent further scrutiny based on independent and associated keyword lists.
    Results: Our systematic approach revealed 189 studies from LMIC in 10 neurosurgery journals. Of these, 53% were case reports, with 88% focusing on brain pathologies and 12% on the spine. Intra-axial brain tumors (45.8%), extra-axial/skull base (38.4%), and metastasis (3.68%) were prominent. Among noncase report publications, surgical technique and outcome were common themes. India, Egypt, and Tunisia led in publications, with 94% appearing in journals with an impact factor below 5. No papers originated from LIC.
    Conclusions: This study reinforces existing findings that data from LMIC inadequately represent their populations, impeding a comprehensive understanding of their neurosurgical oncology landscape. Language barriers and data collection difficulties contribute to this gap. Addressing these challenges could significantly enhance progress in shaping the future of neurosurgical oncology in these regions.
    MeSH term(s) Humans ; Developing Countries ; Retrospective Studies ; Neurosurgery ; Neurosurgical Procedures ; Bibliometrics
    Language English
    Publishing date 2024-01-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2534351-8
    ISSN 1878-8769 ; 1878-8750
    ISSN (online) 1878-8769
    ISSN 1878-8750
    DOI 10.1016/j.wneu.2024.01.118
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 1159: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
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  6. Article ; Online: The role of minimally invasive surgery within a multidisciplinary approach for patients with metastatic spine disease over a decade: A systematic review.

    Schupper, Alexander J / Patel, Shrey / Steinberger, Jeremy M / Germano, Isabelle M

    Neuro-oncology

    2023  Volume 26, Issue 3, Page(s) 417–428

    Abstract: Background: Metastatic spine disease (MSD) occurs commonly in cancer patients causing pain, spinal instability, devastating neurological compromise, and decreased quality of life. Oncological patients are often medically complex and frail, precluding ... ...

    Abstract Background: Metastatic spine disease (MSD) occurs commonly in cancer patients causing pain, spinal instability, devastating neurological compromise, and decreased quality of life. Oncological patients are often medically complex and frail, precluding them form invasive procedures. To address this issue, minimally invasive spinal surgery (MISS) techniques are desirable. The aim of this study is to review published peer-reviewed literature and ongoing clinical trials to provide current state of the art.
    Methods: A systematic review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, assessing MISS in MSD patients for the period 2013-2023. Innovations under development were assessed by querying and reviewing data from currently enrolling U.S. registered clinical trials.
    Results: From 3,696 articles, 50 studies on 3,196 patients focused on spinal oncology MISS. The most commonly reported techniques were vertebral augmentation (VA), percutaneous spinal instrumentation, and radiofrequency ablation (RFA). Surgical instrumentation/stabilization techniques were reported in 10/50 articles for a total of 410 patients. The majority of studies focused on pain as a primary outcome measure, with 28/50 studies reporting a significant improvement in pain following intervention. In the United States, 13 therapeutic trials are currently recruiting MSD patients. Their main focus includes radiosurgery, VA and/or RFA, and laser interstitial thermal therapy.
    Conclusions: Due to their medical complexity and increased fragility, MSD patients may benefit from minimally invasive approaches. These strategies are effective at mitigating pain and preventing neurological deterioration, while providing other advantages including ease to start/resume systemic/radiotherapy treatment(s).
    MeSH term(s) Humans ; Spinal Neoplasms/surgery ; Spinal Neoplasms/secondary ; Quality of Life ; Treatment Outcome ; Pain ; Minimally Invasive Surgical Procedures/methods
    Language English
    Publishing date 2023-11-21
    Publishing country England
    Document type Systematic Review ; Journal Article
    ZDB-ID 2028601-6
    ISSN 1523-5866 ; 1522-8517
    ISSN (online) 1523-5866
    ISSN 1522-8517
    DOI 10.1093/neuonc/noad206
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 5307: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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  7. Article ; Online: In pursuit of glioma diagnosis: the challenges and opportunities of deep neural network augmented analyses.

    Oermann, Eric K / Germano, Isabelle M

    Neuro-oncology

    2020  Volume 23, Issue 1, Page(s) 9–10

    MeSH term(s) Glioma/diagnosis ; Glioma/epidemiology ; Humans ; Neural Networks, Computer
    Language English
    Publishing date 2020-10-14
    Publishing country England
    Document type Editorial ; Comment
    ZDB-ID 2028601-6
    ISSN 1523-5866 ; 1522-8517
    ISSN (online) 1523-5866
    ISSN 1522-8517
    DOI 10.1093/neuonc/noaa262
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    Zs.A 5307: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    ab Jg. 2022: Lesesaal (EG)

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  8. Article ; Online: Prognosis Individualized: Survival predictions for WHO grade II and III gliomas with a machine learning-based web application.

    Karabacak, Mert / Jagtiani, Pemla / Carrasquilla, Alejandro / Germano, Isabelle M / Margetis, Konstantinos

    NPJ digital medicine

    2023  Volume 6, Issue 1, Page(s) 200

    Abstract: WHO grade II and III gliomas demonstrate diverse biological behaviors resulting in variable survival outcomes. In the context of glioma prognosis, machine learning (ML) approaches could facilitate the navigation through the maze of factors influencing ... ...

    Abstract WHO grade II and III gliomas demonstrate diverse biological behaviors resulting in variable survival outcomes. In the context of glioma prognosis, machine learning (ML) approaches could facilitate the navigation through the maze of factors influencing survival, aiding clinicians in generating more precise and personalized survival predictions. Here we report the utilization of ML models in predicting survival at 12, 24, 36, and 60 months following grade II and III glioma diagnosis. From the National Cancer Database, we analyze 10,001 WHO grade II and 11,456 grade III cranial gliomas. Using the area under the receiver operating characteristic (AUROC) values, we deploy the top-performing models in a web application for individualized predictions. SHapley Additive exPlanations (SHAP) enhance the interpretability of the models. Top-performing predictive models are the ones built with LightGBM and Random Forest algorithms. For grade II gliomas, the models yield AUROC values ranging from 0.813 to 0.896 for predicting mortality across different timeframes, and for grade III gliomas, the models yield AUROCs ranging from 0.855 to 0.878. ML models provide individualized survival forecasts for grade II and III glioma patients across multiple clinically relevant time points. The user-friendly web application represents a pioneering digital tool to potentially integrate predictive analytics into neuro-oncology clinical practice, to empower prognostication and personalize clinical decision-making.
    Language English
    Publishing date 2023-10-26
    Publishing country England
    Document type Journal Article
    ISSN 2398-6352
    ISSN (online) 2398-6352
    DOI 10.1038/s41746-023-00948-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Adult neuro-oncology trials in the United States over 5 decades: Analysis of trials completion rate to guide the path forward.

    Smith, Emily J / Naik, Anant / Goel, Mahima / Wen, Patrick Y / Lim, Michael / Chang, Susan M / Germano, Isabelle M

    Neuro-oncology advances

    2024  Volume 6, Issue 1, Page(s) vdad169

    Abstract: Background: Clinical trials are important to close the gap between therapeutic unmet needs and scientific advances in neuro-oncology. This study analyzes the landscape of neuro-oncology trials to identify completion rates and guide strategies for the ... ...

    Abstract Background: Clinical trials are important to close the gap between therapeutic unmet needs and scientific advances in neuro-oncology. This study analyzes the landscape of neuro-oncology trials to identify completion rates and guide strategies for the path forward.
    Methods: US-registered adult neuro-oncology clinical trials were extracted from www.clinicaltrials.gov (1966-2019), including funding source, trial type, scope, phase, and subjects' demographics. Completed trials defined as those that had completed participants' examinations or intervention administration for the purpose of the final collection of data for the primary outcome were dichotomized against those that failed to reach completion. Univariate and multivariate analyses were used to detect differences across factors comparing the last 2 decades (2000-2009, 2010-2019).
    Results: Our search yielded 4522 trials, of which 1257 are eligible for this study. In 25 US states, neuro-oncology trial availability is <0.85/100,000 population. Comparing the past 2 decades, trial completion rate decreased from 88% to 64% (
    Conclusions: Our study is the first report on the neuro-oncology clinical trial landscape in the United States and supports the development of strategies to further improve access to these trials. Additionally, attention is needed to identify and modify other factors contributing to lack of completion.
    Language English
    Publishing date 2024-01-10
    Publishing country England
    Document type Journal Article
    ZDB-ID 3009682-0
    ISSN 2632-2498 ; 2632-2498
    ISSN (online) 2632-2498
    ISSN 2632-2498
    DOI 10.1093/noajnl/vdad169
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: The AANS/CNS Section on Tumors: a summary of 40 years of advocacy to advance the care of patients with brain and spine tumors.

    Parney, Ian F / Warnick, Ronald E / Lang, Frederick F / Rutka, James T / Kalkanis, Steven / Glick, Roberta / Rosenblum, Mark L / Germano, Isabelle M

    Journal of neurosurgery

    2024  , Page(s) 1–7

    Abstract: The AANS/CNS Section on Tumors was founded 40 years ago in 1984 to assist in the education of neurosurgeons interested in neuro-oncology, and serves as a resource for other national organizations regarding the clinical treatment of nervous system tumors. ...

    Abstract The AANS/CNS Section on Tumors was founded 40 years ago in 1984 to assist in the education of neurosurgeons interested in neuro-oncology, and serves as a resource for other national organizations regarding the clinical treatment of nervous system tumors. The Section on Tumors was the first national physicians' professional organization dedicated to the study and treatment of patients with brain and spine tumors. Over the past 40 years, the Section on Tumors has built solid foundations, including establishing the tumor section satellite meetings, founding the Journal of Neuro-Oncology (the first medical journal dedicated to brain and spine surgical oncology), advancing surgical neuro-oncology education and research, promoting neurosurgical involvement in neuro-oncology clinical trials, and advocating for patients with brain and spine tumors. This review provides a synopsis of the Section on Tumors' history, its challenges, and its opportunities, drawing on the section's archives and input from the 17 section chairs who led it during its first 40 years.
    Language English
    Publishing date 2024-01-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 3089-2
    ISSN 1933-0693 ; 0022-3085
    ISSN (online) 1933-0693
    ISSN 0022-3085
    DOI 10.3171/2023.12.JNS232781
    Database MEDical Literature Analysis and Retrieval System OnLINE

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