Literature DB >> 29581018

Application of Morphometrics as a Predictor for Survival in Patients with Prostate Cancer Metastasis to the Spine.

Hesham Mostafa Zakaria1, Lara Massie1, Azam Basheer1, Erinma Elibe2, David Boyce-Fappiano2, Lonni Shultz3, Ian Lee1, Brent Griffith4, Farzan Siddiqui2, Victor Chang5.   

Abstract

BACKGROUND: Surgery for spinal metastases can improve survival but has high morbidity that can potentially diminish benefits. New objective methods of predicting overall survival would be beneficial for surgical decision making. Morphometrics quantifies patient frailty and has been successfully used to predict overall survival in patients with lung cancer spinal metastases. This study evaluated whether morphometrics can predict survival in patients with prostate cancer spinal metastases.
METHODS: Using a retrospective registry of patients with spinal metastases who underwent stereotactic body radiation therapy, we identified patients with primary prostate cancer. Morphometric measurements of the psoas muscle were taken from most recent lumbar spine computed tomography. Patients were stratified into lowest, middle, and highest tertiles based on psoas muscle area. Primary outcome measure was overall survival from the date of computed tomography scan.
RESULTS: We identified 92 patients. Median survival for all patients was 124 days (95% confidence interval, 98-197 days). Patients in the smallest third for average psoas size had significantly shorter survival compared with patients in the largest third: 117 days versus 302 days (hazard ratio 2.42; 95% confidence interval, 1.32-4.43; P = 0.004). Patients in the middle third for average psoas size also had shorter survival compared with patients in the largest third: 113 days versus 302 days (hazard ratio 2.31; 95% confidence interval, 1.25-4.25; P = 0.007).
CONCLUSIONS: In patients with prostate cancer spinal metastases, morphometric analysis of psoas muscle size can identify patients at risk for shorter survival. This technique can aid in surgical decision making by weighing expected survival and fitness versus potential morbidity of intervention.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Frailty index; Morphometrics; Prostate cancer; Prostate cancer mortality; Spinal metastases; Spine complications; Spine surgery

Mesh:

Year:  2018        PMID: 29581018     DOI: 10.1016/j.wneu.2018.03.115

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  2 in total

1.  Prognostic factors for overall survival in patients with spinal metastasis secondary to prostate cancer: a systematic review and meta-analysis.

Authors:  Zhong-Yu Gao; Tao Zhang; Hui Zhang; Cheng-Gang Pang; Wen-Xue Jiang
Journal:  BMC Musculoskelet Disord       Date:  2020-06-17       Impact factor: 2.362

2.  Sarcopenia in Patients With Spinal Metastasis: A Systematic Review and Meta-Analysis of Retrospective Cohort Studies.

Authors:  Haifeng Tan; Xiaoyu Gao; Xiaoyu Li; Yunling Huang; Qi Cao; Teng Wan
Journal:  Front Oncol       Date:  2022-04-05       Impact factor: 5.738

  2 in total

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