Quantitative Analysis of SPECT-CT Data in Metastatic Breast Cancer Patients—The Clinical Significance

Author:

Gherghe Mirela,Mutuleanu Mario-DemianORCID,Stanciu Adina ElenaORCID,Irimescu IonelaORCID,Lazar AlexandraORCID,Bacinschi Xenia,Anghel Rodica Maricela

Abstract

Purpose: To assess the potential added value of the SPECT-CT quantitative analysis in metastatic breast cancer lesions detection and differentiation from degenerative lesions. Methods: This prospective monocentric study was conducted on 70 female patients who underwent SPECT-CT bone scans using 99mTc–HDP that identified the presence of metastatic bone lesions and degenerative lesions in each patient. Once the lesions were identified, a quantitative analysis of radiotracer uptake was conducted. The highest one to five SUVmax values for both metastatic and degenerative bone lesions were identified in each patient and the data were then statistically analyzed. Results: The SUVmax value was significantly higher in metastatic bone lesions than in degenerative lesions (p < 0.001). The diagnostic accuracy of SPECT-CT quantitative data analysis revealed a sensitivity of 91.5% and a specificity of 93.3% at a cut-off value of the SUVmax of 16.6 g/mL. Conclusion: Quantitative analysis performed using SPECT-CT data can improve the diagnostic accuracy in differentiating between metastatic bone lesions and degenerative lesions, thus leading to appropriate treatment and better follow-up in metastatic breast cancer patients.

Publisher

MDPI AG

Subject

Cancer Research,Oncology

Reference36 articles.

1. GLOBOCAN 2020 Cancer Datahttps://gco.iarc.fr/today/data/factsheets/populations/900-world-fact-sheets.pdf

2. Incidence of patients with bone metastases at diagnosis of solid tumors in adults: a large population-based study

3. Incidence, consequences and treatment of bone metastases in breast cancer patients—Experience from a single cancer centre

4. Peculiarities of lymphatic drainage in cutaneous malignant melanoma: Clinical experience in 75 cases;Voinea;Chirurgia,2014

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