Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jul 18, 2026

Predictive Immune Modeling of Solid Tumors
08:50

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

[Prognostic models for Hodgkin's disease].

G A Panyshin, P V Datsenko, V M Sotnikov

    Voprosy Onkologii
    |December 16, 2006
    PubMed
    Summary

    A new prognostic model for Hodgkin's disease aids in predicting patient outcomes. This model, based on disease-free survival, categorizes patients into favorable and poor prognosis groups for better treatment planning.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    [Overall survival prediction scale for patients with grade 4 brain astrocytoma].

    Zhurnal voprosy neirokhirurgii imeni N. N. Burdenko·2026
    Same author

    [Choice of fractionation regimen for Grade IV gliomas depending on rapid early progression].

    Zhurnal voprosy neirokhirurgii imeni N. N. Burdenko·2024
    Same author

    [Extent of resection in patients with glioblastoma].

    Zhurnal voprosy neirokhirurgii imeni N. N. Burdenko·2023
    Same author

    [Early progression of glioblastoma before radiotherapy].

    Zhurnal voprosy neirokhirurgii imeni N. N. Burdenko·2023
    Same author

    [Superselective intra-arterial administration of bevacizumab with blood-brain barrier disruption in patients with recurrent malignant gliomas: case report and literature review].

    Zhurnal voprosy neirokhirurgii imeni N. N. Burdenko·2021
    Same author

    [Short-term survival prediction scale in patients with metastatic brain disease caused by lung and breast cancer].

    Zhurnal voprosy neirokhirurgii imeni N. N. Burdenko·2020

    Area of Science:

    • Oncology
    • Radiotherapy
    • Clinical Prognostics

    Background:

    • Hodgkin's disease treatment involves chemotherapy and irradiation.
    • Accurate prognostic models are crucial for tailoring treatment strategies.
    • Existing models may benefit from refinement based on new data.

    Purpose of the Study:

    • To develop a novel prognostic model for Hodgkin's disease.
    • To identify key factors influencing disease-free survival.
    • To compare the developed model with existing prognostic systems.

    Main Methods:

    • Analysis of disease-free survival data from patients treated with COOP(MOPP)/ABVD chemotherapy and irradiation.
    • Stratification of patients into favorable and poor prognosis groups based on clinical and pathological features.
    • Comparison of the new model with the German Hodgkin Study Group (GHSG) model.

    Main Results:

    • A prognostic model was established using patient data.
    • Favorable prognosis: Stage I-II, <4 lesions, no large mediastinal masses, no intoxication, no focal splenic involvement.
    • Poor prognosis: Stage III(2)-IV, large mediastinal masses, focal splenic involvement, ≥7 lesions.
    • Tumor advancement across lesions is more significant than organ involvement for radiotherapy planning.
    • Distinction between substages III(1) and III(2) is suggested.

    Conclusions:

    • The developed prognostic model effectively categorizes Hodgkin's disease patients.
    • Tumor burden and lesion distribution are critical prognostic indicators.
    • Further research should explore integrating this model with existing systems like GHSG for enhanced prognostication.

    Related Experiment Videos

    Last Updated: Jul 18, 2026

    Predictive Immune Modeling of Solid Tumors
    08:50

    Predictive Immune Modeling of Solid Tumors

    Published on: February 25, 2020