PRODIGE: Prediction Models in Prostate Cancer for Personalized Medicine Challenge

Alitto, A.R.; Gatta, Roberto; Vanneste, Ben; Vallati, Mauro; Meldolesi, Elisa; Damiani, Andrea; Lanzotti, Vito; Mattiucci, Gian Carlo; Frascino, V.; Masciocchi, C.; Catucci, Francesco; Dekker, André; Valentini, Vincenzo; Mantini, Giovanna

doi:10.2217/fon-2017-0142

Cited by 11 publications

(9 citation statements)

References 30 publications

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“…In this scenario, advances in technologies and treatments for prostate cancer but also the huge heterogeneity of tumours and patients, need to consider a lot of different variables in the decision-making process (48).…”

Section: Discussionmentioning

confidence: 99%

BIT-ART: Multicentric Comparison of HDR-brachytherapy, Intensity-modulated Radiotherapy and Tomotherapy for Advanced Radiotherapy in Prostate Cancer

Alitto

Tagliaferri

Lancellotta

et al. 2020

In Vivo

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Background/Aim: The aim of the study was to evaluate acute and late genitourinary (GU) and gastrointestinal (GI) toxicity in patients with high-or intermediate-risk prostate cancer. Patients and Methods: We evaluated data of patients from three Radiation Oncology Departments (Rome, Lübeck and Perugia). Patients treated in Rome underwent exclusive intensity-modulatedradiotherapy (IMRT) or IMRT plus high-dose-rate interventional radiotherapy (HDR-IRT). IMRT plus two fractions HDR-IRT was performed in Lübeck, while in Perugia Helical Tomotherapy was performed. The Common Toxicity Criteria for Adverse Event (Version 4.03) scale was used to describe acute and late toxicity. Results: At a median follow-up of 28 months, all 51 patients were alive and disease-free. Patients treated by HDR-IRT plus VMAT showed only G1-2 genitourinary-gastrointestinal (GU-GI) acute and late toxicity. Univariate analysis showed a lower risk of acute GU toxicity (p=0.048) in IMRT+HDR-IRT. Conclusion: Low grade and less acute GU toxicity was observed in patients undergoing HDR-IRT boost.

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Section: Discussionmentioning

confidence: 99%

BIT-ART: Multicentric Comparison of HDR-brachytherapy, Intensity-modulated Radiotherapy and Tomotherapy for Advanced Radiotherapy in Prostate Cancer

Alitto

Tagliaferri

Lancellotta

et al. 2020

In Vivo

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“…To our knowledge, no standardized data collection system or predictive model focusing on a treatment technique is available in literature. Several ontologies focusing on pathologies and different anatomical sites (e.g., rectum, thyroid and prostate) [ 1 , 8 , 15 ] can be found in the literature; however, to date, none of these focus on a specific radiotherapy technique ( Table 3 ). Only the brachytherapy ontology can be considered a technique-specific tool but is for head and neck cancers only [ 4 , 19 ].…”

Section: Discussionmentioning

confidence: 99%

“…Qualitative improvements in different fields, for example, genomics, histology and technology, provide a heterogeneity of data regarding both patient and tumor characteristics. Therefore, a larger amount of different types of data, together with their increased complexity, need to be considered in the decision-making process [ 1 , 2 ]. This process has historically been guided by international guidelines, based on randomized clinical trial evidence that provide a patient’s selection beforehand.…”

Section: Introductionmentioning

confidence: 99%

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A New Standardized Data Collection System for Brain Stereotactic External Radiotherapy: The PRE.M.I.S.E Project

Chiesa

Tolu²,

Longo

et al. 2020

Future Sci. OA

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Background: In recent years, novel radiation therapy techniques have moved clinical practice toward tailored medicine. An essential role is played by the decision support system, which requires a standardization of data collection. The Aim of the Prediction Models In Stereotactic External radiotherapy (PRE.M.I.S.E.) project is the implementation of systems that analyze heterogeneous datasets. This article presents the project design, focusing on brain stereotactic radiotherapy (SRT). Materials & methods: First, raw ontology was defined by exploiting semiformal languages (block and entity relationship diagrams) and the natural language; then, it was transposed in a Case Report Form, creating a storage system. Results: More than 130 brain SRT’s variables were selected. The dedicated software Beyond Ontology Awareness (BOA-Web) was set and data collection is ongoing. Conclusion: The PRE.M.I.S.E. project provides standardized data collection for a specific radiation therapy technique, such as SRT. Future aims are: including other centers and validating an extracranial SRT ontology.

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“…Less prediction tools are available for brachytherapy, which is a very viable treatment option for PCa. One study, Alitto et al (2017) [67], describes an Umbrella Protocol for the standardized development of new mDSS. This protocol could help in improving the application of new mDSS in clinics.…”

Section: Discussionmentioning

confidence: 99%

Decision Support Systems in Prostate Cancer Treatment: An Overview

Wijk

Halilaj

Limbergen

et al. 2019

BioMed Research International

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Background. A multifactorial decision support system (mDSS) is a tool designed to improve the clinical decision-making process, while using clinical inputs for an individual patient to generate case-specific advice. The study provides an overview of the literature to analyze current available mDSS focused on prostate cancer (PCa), in order to better understand the availability of decision support tools as well as where the current literature is lacking. Methods. We performed a MEDLINE literature search in July 2018. We divided the included studies into different sections: diagnostic, which aids in detection or staging of PCa; treatment, supporting the decision between treatment modalities; and patient, which focusses on informing the patient. We manually screened and excluded studies that did not contain an mDSS concerning prostate cancer and study proposals. Results. Our search resulted in twelve diagnostic mDSS; six treatment mDSS; two patient mDSS; and eight papers that could improve mDSS. Conclusions. Diagnosis mDSS is well represented in the literature as well as treatment mDSS considering external-beam radiotherapy; however, there is a lack of mDSS for other treatment modalities. The development of patient decision aids is a new field of research, and few successes have been made for PCa patients. These tools can improve personalized medicine but need to overcome a number of difficulties to be successful and require more research.

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PRODIGE: Prediction Models in Prostate Cancer for Personalized Medicine Challenge

Abstract: The development of DSSs, based on standardized knowledge, could be a tool to achieve a personalized decision-making.

Cited by 11 publications

References 30 publications

BIT-ART: Multicentric Comparison of HDR-brachytherapy, Intensity-modulated Radiotherapy and Tomotherapy for Advanced Radiotherapy in Prostate Cancer

BIT-ART: Multicentric Comparison of HDR-brachytherapy, Intensity-modulated Radiotherapy and Tomotherapy for Advanced Radiotherapy in Prostate Cancer

A New Standardized Data Collection System for Brain Stereotactic External Radiotherapy: The PRE.M.I.S.E Project

Decision Support Systems in Prostate Cancer Treatment: An Overview

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