Abstract
Background: The advent of novel cancer therapies has significantly improved both life expectancy and quality of life for cancer patients. However, this has also led to an increased incidence of metastases, particularly spinal metastases, which pose a significant clinical challenge due to their potential to compromise spinal stability, mobility and neurological function. Objective: The aim of this study is to identify current symptom scores, determine the diagnosis, evaluate treatment modalities, and review prognostic scores and management algorithms for spinal metastases to aid in therapeutic decision making. Methods: A systematic literature review was conducted in PubMed focusing on available full-text review articles published in English between 1 January 2012 and 1 July 2022. The search terms were “spinal metastasis OR spinal metastases OR spine metastasis OR spine metastases AND treatment OR management”. Results: Several treatment algorithms, including NOMS (neurology, oncology, mechanical stability, and systemic disease) and LMNOP (localization, mechanical instability, neurology, oncology), have been proposed to guide clinical decision making. However, the development of prognostic scores that incorporate the impact of newer treatment modalities remains an important area of research. Conclusions: Effective management of spinal metastases requires a multidisciplinary approach, with emphasis on early diagnosis. Treatment decisions are individualized. Further research is essential to refine treatment strategies and improve patient outcomes.
| Original language | English |
|---|---|
| Article number | 1296 |
| Pages (from-to) | 1296 |
| Journal | Cancers |
| Volume | 17 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 11 Apr 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- management algorithm
- metastatic spinal disease
- spinal metastasis
- treatment options
ASJC Scopus subject areas
- Oncology
- Cancer Research
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