Assessment of Skeletal Tumor Load in Metastasized Castration-Resistant Prostate Cancer Patients: A Review of Available Methods and an Overview on Future Perspectives

Bioengineering

Massimo Brignone¹  Cecilia Marini²  Michele Piana³  AnnaMaria Massone³  Roberta Piva⁴  Silvia Morbelli⁴  Matteo Bauckneht⁴  Gianmario Sambuceti⁴  Cristina Campi⁵  Francesco Fiz⁶  Christian la Fougère⁶  Helmut Dittman⁶ 

[1] Department of Engineering, University of Genoa, Pole of Savona, 17100 Savona, Italy;National Council of Research-IBFM, 16132 Genoa, Italy;National Council of Research-SPIN, 16152 Genoa, Italy;Nuclear Medicine Unit, Department of Health Sciences, University of Genoa, 16132 Genoa, Italy;Nuclear Medicine Unit, Department of Medicine-DIMED, University Hospital of Padua, 35128 Padua, Italy;Nuclear Medicine Unit, Department of Radiology, Uni-Klinikum Tübingen, 72076 Tübingen, Germany;

关键词: mCRPC;    computational analysis;    bone metastases;    bone scan;    PET-CT;   

DOI  :  10.3390/bioengineering5030058

来源: DOAJ

【 摘 要 】

Metastasized castration-resistant prostate cancer (mCRPC), is the most advanced form of prostate neoplasia, where massive spread to the skeletal tissue is frequent. Patients with this condition are benefiting from an increasing number of treatment options. However, assessing tumor response in patients with multiple localizations might be challenging. For this reason, many computational approaches have been developed in the last decades to quantify the skeletal tumor burden and treatment response. In this review, we analyzed the progressive development and diffusion of such approaches. A computerized literature search of the PubMed/Medline was conducted, including articles between January 2008 and March 2018. The search was expanded by manually reviewing the reference list of the chosen articles. Thirty-five studies were identified. The number of eligible studies greatly increased over time. Studies could be categorized in the following categories: automated analysis of 2D scans, SUV-based thresholding, hybrid CT- and SUV-based thresholding, and MRI-based thresholding. All methods are discussed in detail. Automated analysis of bone tumor burden in mCRPC is a growing field of research; when choosing the appropriate method of analysis, it is important to consider the possible advantages as well as the limitations thoroughly.

【 授权许可】

Unknown