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Related Experiment Video

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Multispectral Real-time Fluorescence Imaging for Intraoperative Detection of the Sentinel Lymph Node in Gynecologic Oncology
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[Concepts in geriatric uro-oncology].

A Manseck1, S Manseck2, C Körner2

  • 1Urologische Klinik, Klinikum Ingolstadt, Krumenauerstr. 25, 85049, Ingolstadt, Deutschland. Andreas.Manseck@klinikum-ingolstadt.de.

Der Urologe. Ausg. A
|March 13, 2019
PubMed
Summary

Uro-oncology decision-making algorithms may need adaptation for elderly and frail patients. Personalized approaches are crucial, considering individual lifestyles and physiological changes for effective treatment.

Keywords:
Activities of daily livingGeriatric assessmentProstate cancerRenal cell carcinomaTransition cell carcinoma

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Area of Science:

  • Uro-oncology
  • Geriatric oncology
  • Clinical decision-making

Background:

  • Uro-oncology encompasses treatment modalities, therapeutic goals, and algorithmic decision-making.
  • Current decision-making frameworks may not universally apply to all patient demographics.

Purpose of the Study:

  • To evaluate the applicability of uro-oncology decision-making algorithms across diverse patient groups.
  • To explore the necessity of adapting these algorithms for elderly and frail individuals.

Main Methods:

  • Discussion and conceptual analysis of existing uro-oncology treatment algorithms.
  • Consideration of patient-specific factors including lifestyle, living situation, and physiological status.

Main Results:

  • Algorithmic approaches in uro-oncology require careful consideration for heterogeneous patient populations.
  • Elderly and frail patients present unique challenges necessitating tailored decision-making strategies.

Conclusions:

  • Standard uro-oncology algorithms may require modification to effectively serve elderly and frail patients.
  • Personalized treatment planning is essential, integrating patient-specific lifestyle and physiological data.