Multi-parameter spectral computed tomography for the prognosis evaluation of prostate cancer bone metastasis: a retrospective study

多参数光谱计算机断层扫描在评估前列腺癌骨转移预后中的应用:一项回顾性研究

阅读:2

Abstract

BACKGROUND: Prostate cancer (PCa) is one of the most prevalent malignancies in men, and the skeleton is a common site of distant metastasis. Bone metastases can lead to skeletal-related events, reduced quality of life, and increased mortality. Accurate imaging evaluation during post-treatment follow-up is crucial for timely intervention and optimal patient management. Dual-energy computed tomography (DECT) multi-parameter imaging has shown potential in characterizing bone lesions, whereas whole-body bone scintigraphy (WBS) remains widely applied in clinical practice. This study was designed to compare the diagnostic performance of DECT and WBS in detecting prostate cancer bone metastases (PCa-BMs) during post-treatment follow-up. METHODS: PCa-BM is a common manifestation of advanced disease and has a substantial impact on patient prognosis. This retrospective study, conducted between November 2020 and October 2023, enrolled consecutive patients with confirmed PCa-BM to compare the diagnostic performance of DECT and WBS during post-treatment follow-up. DECT images were independently evaluated by two blinded radiologists, each specializing in genitourinary imaging and possessing three years of experience. In instances of disagreement, consensus was achieved through arbitration by a senior radiologist with 15 years of experience. The WBS images were independently interpreted by a nuclear medicine physician with 15 years of experience in nuclear medicine imaging, with the evaluation conducted separately from the DECT team. The Pearson Chi-squared test was employed to compare DECT multiparametric data with WBS results. The diagnostic performance of DECT multiparametric images, both independently and in conjunction with prostate-specific antigen (PSA) levels, was compared against clinical diagnosis. Key metrics assessed comprised accuracy, specificity, sensitivity, positive predictive value (PPV), and negative predictive value (NPV). Receiver operating characteristic (ROC) curve analysis was performed using statistical software. RESULTS: Data from a total of 46 patients with PCa-BM, comprising 206 metastatic vertebrae, were analyzed. Clinical assessment identified 29 patients (132 lesions) with an effective therapeutic response and 17 patients (74 lesions) with disease progression. DECT analysis demonstrated a significant correlation between venous-phase hydroxyapatite (HAP)-water values and uptake on WBS (P=0.019). In contrast, other keV (kiloelectron volt)-based computed tomography (CT) values and water-HAP parameters did not show significant associations (P>0.05). Compared to clinical diagnosis, DECT parameters from varying keV and water-HAP images exhibited limited diagnostic performance, with area under the curve (AUC) values ranging from 0.425 to 0.568, and with generally low sensitivity, specificity, PPV, and NPV. Notably, integrating DECT parameters with serum PSA levels significantly improved diagnostic sensitivity (up to 93.94%), PPV (up to 71.60%), NPV (up to 74.19%), and AUC (ranging from 0.584 to 0.635), although specificity remained low (24.32-35.14%). CONCLUSIONS: DECT-derived water-HAP images demonstrate potential value in evaluating PCa-BM during post-treatment follow-up, particularly when integrated with serum PSA measurements.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。