Correlations Between Preoperative Indicators and Postoperative Histopathological Outcomes in Prostate Cancer Patients

Author:

Arıkan Mehmet GürkanORCID,Taştekin EbruORCID,Arda ErsanORCID

Abstract

Objective: Prostate cancer continues to pose a significant health challenge, with diverse prognoses influenced by preoperative and postoperative assessments. This study aims to elucidate the correlation between preoperative clinical indicators and postoperative histopathological outcomes to enhance prognostic models. The primary objective of this study is to investigate the predictive value of preoperative factors, such as age, Prostate-Specific Antigen (PSA) level, prostate volume (PV), and tumor volume (TV), on postoperative outcomes, specifically focusing on extracapsular invasion (ECI), seminal vesicle invasion (SVI), and positive surgical margins (PSM). Materials and Methods: We retrospectively analyzed the data of 63 patients with prostate cancer who underwent radical prostatectomy. Preoperative clinical data, including age, PSA level, PV, and TV, were collected. Postoperative histopathological data were gathered for ECI, SVI, and PSM. Statistical analyses, including correlation coefficients and median comparisons, were employed to identify significant predictors of postoperative outcomes. Results: The cohort had a mean age of 64.1 years, with PSA levels ranging from 3.65 to 112 ng/ml. Patients with ECI had a median PSA of 14.9 ng/ml, whereas those without had 8.2 ng/ml (p=0.001). Median PV and TV were significantly higher in patients with ECI (PV: 55 cc, TV: 8.07 cc) than in those without ECI (PV: 49 cc, TV: 4.25 cc, p=0.001). Similar significant differences were noted for SVI and PSM, with higher PSA, PV, and TV values in patients with these features (p≤0.042). Age did not significantly affect the outcomes. Conclusion: Preoperative PSA level, prostate volume, and tumor volume were significant predictors of adverse postoperative histopathological features in patients with prostate cancer. These findings highlight the need for a multifactorial approach in preoperative evaluation and advocate the development of enhanced predictive models for improved clinical decision-making and patient management.

Publisher

Lycia Press London UK

Subject

Modeling and Simulation

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3