Assessment of Skeletal Tumor Load in Metastasized Castration-Resistant Prostate Cancer Patients: A Review of Available Methods and an Overview on Future Perspectives
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 patien...
Main Authors: | , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-07-01
|
Series: | Bioengineering |
Subjects: | |
Online Access: | http://www.mdpi.com/2306-5354/5/3/58 |
id |
doaj-b63f10a7a6df4fc4879670962f4003c9 |
---|---|
record_format |
Article |
spelling |
doaj-b63f10a7a6df4fc4879670962f4003c92020-11-25T00:13:46ZengMDPI AGBioengineering2306-53542018-07-01535810.3390/bioengineering5030058bioengineering5030058Assessment of Skeletal Tumor Load in Metastasized Castration-Resistant Prostate Cancer Patients: A Review of Available Methods and an Overview on Future PerspectivesFrancesco Fiz0Helmut Dittman1Cristina Campi2Silvia Morbelli3Cecilia Marini4Massimo Brignone5Matteo Bauckneht6Roberta Piva7Anna Maria Massone8Michele Piana9Gianmario Sambuceti10Christian la Fougère11Nuclear Medicine Unit, Department of Radiology, Uni-Klinikum Tübingen, 72076 Tübingen, GermanyNuclear Medicine Unit, Department of Radiology, Uni-Klinikum Tübingen, 72076 Tübingen, GermanyNuclear Medicine Unit, Department of Medicine-DIMED, University Hospital of Padua, 35128 Padua, ItalyNuclear Medicine Unit, Department of Health Sciences, University of Genoa, 16132 Genoa, ItalyNational Council of Research-IBFM, 16132 Genoa, ItalyDepartment of Engineering, University of Genoa, Pole of Savona, 17100 Savona, ItalyNuclear Medicine Unit, Department of Health Sciences, University of Genoa, 16132 Genoa, ItalyNuclear Medicine Unit, Department of Health Sciences, University of Genoa, 16132 Genoa, ItalyNational Council of Research-SPIN, 16152 Genoa, ItalyNational Council of Research-SPIN, 16152 Genoa, ItalyNuclear Medicine Unit, Department of Health Sciences, University of Genoa, 16132 Genoa, ItalyNuclear Medicine Unit, Department of Radiology, Uni-Klinikum Tübingen, 72076 Tübingen, GermanyMetastasized 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.http://www.mdpi.com/2306-5354/5/3/58mCRPCcomputational analysisbone metastasesbone scanPET-CT |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Francesco Fiz Helmut Dittman Cristina Campi Silvia Morbelli Cecilia Marini Massimo Brignone Matteo Bauckneht Roberta Piva Anna Maria Massone Michele Piana Gianmario Sambuceti Christian la Fougère |
spellingShingle |
Francesco Fiz Helmut Dittman Cristina Campi Silvia Morbelli Cecilia Marini Massimo Brignone Matteo Bauckneht Roberta Piva Anna Maria Massone Michele Piana Gianmario Sambuceti Christian la Fougère Assessment of Skeletal Tumor Load in Metastasized Castration-Resistant Prostate Cancer Patients: A Review of Available Methods and an Overview on Future Perspectives Bioengineering mCRPC computational analysis bone metastases bone scan PET-CT |
author_facet |
Francesco Fiz Helmut Dittman Cristina Campi Silvia Morbelli Cecilia Marini Massimo Brignone Matteo Bauckneht Roberta Piva Anna Maria Massone Michele Piana Gianmario Sambuceti Christian la Fougère |
author_sort |
Francesco Fiz |
title |
Assessment of Skeletal Tumor Load in Metastasized Castration-Resistant Prostate Cancer Patients: A Review of Available Methods and an Overview on Future Perspectives |
title_short |
Assessment of Skeletal Tumor Load in Metastasized Castration-Resistant Prostate Cancer Patients: A Review of Available Methods and an Overview on Future Perspectives |
title_full |
Assessment of Skeletal Tumor Load in Metastasized Castration-Resistant Prostate Cancer Patients: A Review of Available Methods and an Overview on Future Perspectives |
title_fullStr |
Assessment of Skeletal Tumor Load in Metastasized Castration-Resistant Prostate Cancer Patients: A Review of Available Methods and an Overview on Future Perspectives |
title_full_unstemmed |
Assessment of Skeletal Tumor Load in Metastasized Castration-Resistant Prostate Cancer Patients: A Review of Available Methods and an Overview on Future Perspectives |
title_sort |
assessment of skeletal tumor load in metastasized castration-resistant prostate cancer patients: a review of available methods and an overview on future perspectives |
publisher |
MDPI AG |
series |
Bioengineering |
issn |
2306-5354 |
publishDate |
2018-07-01 |
description |
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. |
topic |
mCRPC computational analysis bone metastases bone scan PET-CT |
url |
http://www.mdpi.com/2306-5354/5/3/58 |
work_keys_str_mv |
AT francescofiz assessmentofskeletaltumorloadinmetastasizedcastrationresistantprostatecancerpatientsareviewofavailablemethodsandanoverviewonfutureperspectives AT helmutdittman assessmentofskeletaltumorloadinmetastasizedcastrationresistantprostatecancerpatientsareviewofavailablemethodsandanoverviewonfutureperspectives AT cristinacampi assessmentofskeletaltumorloadinmetastasizedcastrationresistantprostatecancerpatientsareviewofavailablemethodsandanoverviewonfutureperspectives AT silviamorbelli assessmentofskeletaltumorloadinmetastasizedcastrationresistantprostatecancerpatientsareviewofavailablemethodsandanoverviewonfutureperspectives AT ceciliamarini assessmentofskeletaltumorloadinmetastasizedcastrationresistantprostatecancerpatientsareviewofavailablemethodsandanoverviewonfutureperspectives AT massimobrignone assessmentofskeletaltumorloadinmetastasizedcastrationresistantprostatecancerpatientsareviewofavailablemethodsandanoverviewonfutureperspectives AT matteobauckneht assessmentofskeletaltumorloadinmetastasizedcastrationresistantprostatecancerpatientsareviewofavailablemethodsandanoverviewonfutureperspectives AT robertapiva assessmentofskeletaltumorloadinmetastasizedcastrationresistantprostatecancerpatientsareviewofavailablemethodsandanoverviewonfutureperspectives AT annamariamassone assessmentofskeletaltumorloadinmetastasizedcastrationresistantprostatecancerpatientsareviewofavailablemethodsandanoverviewonfutureperspectives AT michelepiana assessmentofskeletaltumorloadinmetastasizedcastrationresistantprostatecancerpatientsareviewofavailablemethodsandanoverviewonfutureperspectives AT gianmariosambuceti assessmentofskeletaltumorloadinmetastasizedcastrationresistantprostatecancerpatientsareviewofavailablemethodsandanoverviewonfutureperspectives AT christianlafougere assessmentofskeletaltumorloadinmetastasizedcastrationresistantprostatecancerpatientsareviewofavailablemethodsandanoverviewonfutureperspectives |
_version_ |
1725393145762414592 |