Exploiting Machine Learning for Predicting Nodal Status in Prostate Cancer Patients

Mauro Vallati, Berardino De Bari, Roberto Gatta, Michela Buglione, Stefano M. Magrini, Barbara A. Jereczek-Fossa, Filippo Bertoni

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Prostate cancer is the second cause of cancer in males. The prophylactic pelvic irradiation is usually needed for treating prostate cancer patients with Subclinical Nodal Metestases. Currently, the physicians decide when to deliver pelvic irradiation in nodal negative patients mainly by using the Roach formula, which gives an approximate estimation of the risk of Subclinical Nodal Metestases. In this paper we study the exploitation of Machine Learning techniques for training models, based on several pre-treatment parameters, that can be used for predicting the nodal status of prostate cancer patients. An experimental retrospective analysis, conducted on the largest Italian database of prostate cancer patients treated with radical External Beam Radiation Therapy, shows that the proposed approaches can effectively predict the nodal status of patients.

Original languageEnglish
Title of host publicationArtificial Intelligence Applications and Innovations
Subtitle of host publication9th IFIPWG 12.5 International Conference, AIAI 2013, Proceedings
EditorsHarris Papadopoulos, Andreas S. Andreou, Lazaros Iliadis, Ilias Maglogiannis
PublisherSpringer Verlag
Pages61-70
Number of pages10
ISBN (Electronic)9783642411427
ISBN (Print)9783642411410
DOIs
Publication statusPublished - 1 Dec 2013
Event9th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations - Paphos, Cyprus
Duration: 30 Sep 20132 Oct 2013
Conference number: 9

Publication series

NameIFIP Advances in Information and Communication Technology
PublisherSpringer
Volume412
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference9th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations
Abbreviated titleAIAI 2013
Country/TerritoryCyprus
CityPaphos
Period30/09/132/10/13

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