Scipediacontent: Scipediacontent moved page Draft Content 642375694 to Traverso et al 2020a

2021-02-16T10:03:21Z

Scipediacontent moved page Draft Content 642375694 to Traverso et al 2020a

Scipediacontent: Created page with " == Abstract == Purpose Precision cancer medicine is dependent on accurate prediction of disease and treatment outcome, requiring integration of clinical, imaging and int..."

2021-02-16T10:03:16Z

Created page with " == Abstract == Purpose Precision cancer medicine is dependent on accurate prediction of disease and treatment outcome, requiring integration of clinical, imaging and int..."

New page

== Abstract ==

Purpose Precision cancer medicine is dependent on accurate prediction of disease and treatment outcome, requiring integration of clinical, imaging and interventional knowledge. User controlled pipelines are capable of feature integration with varied levels of human interaction. In this work we present two pipelines designed to combine clinical, radiomic (quantified imaging), and RTx-omic (quantified radiation therapy (RT) plan) information for prediction of locoregional failure (LRF) in head and neck cancer (HN and 2) a pipeline with minimal user input that utilizes deep learning convolutional neural networks to extract and combine CT imaging, RT dose and clinical features for model development. Results Clinical features with logistic regression in our highly user-driven pipeline had the highest precision recall area under the curve (PR-AUC) of 0.66 (0.33–0.93), where a PR-AUC = 0.11 is considered random. CONCLUSIONS: Our work demonstrates the potential to aggregate features from multiple specialties for conditional-outcome predictions using pipelines with varied levels of human interaction. Most importantly, our results provide insights into the importance of data curation and quality, as well as user, data and methodology bias awareness as it pertains to result interpretation in user controlled pipelines.

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1016/j.ejmp.2020.01.027 http://dx.doi.org/10.1016/j.ejmp.2020.01.027]

* [http://www.physicamedica.com/article/S1120179720300302/pdf http://www.physicamedica.com/article/S1120179720300302/pdf]

* [https://cris.maastrichtuniversity.nl/en/publications/0ae1aba0-1a19-4ada-90bf-1bf9716481b9 https://cris.maastrichtuniversity.nl/en/publications/0ae1aba0-1a19-4ada-90bf-1bf9716481b9]

* [https://api.elsevier.com/content/article/PII:S1120179720300302?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S1120179720300302?httpAccept=text/xml],
: [https://api.elsevier.com/content/article/PII:S1120179720300302?httpAccept=text/plain https://api.elsevier.com/content/article/PII:S1120179720300302?httpAccept=text/plain],
: [http://dx.doi.org/10.1016/j.ejmp.2020.01.027 http://dx.doi.org/10.1016/j.ejmp.2020.01.027] under the license https://www.elsevier.com/tdm/userlicense/1.0/

* [https://www.sciencedirect.com/science/article/pii/S1120179720300302 https://www.sciencedirect.com/science/article/pii/S1120179720300302],
: [https://www.ncbi.nlm.nih.gov/pubmed/32023504 https://www.ncbi.nlm.nih.gov/pubmed/32023504],
: [https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002210818694794 https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002210818694794],
: [https://www.narcis.nl/publication/RecordID/oai%3Acris.maastrichtuniversity.nl%3Apublications%2F0ae1aba0-1a19-4ada-90bf-1bf9716481b9 https://www.narcis.nl/publication/RecordID/oai%3Acris.maastrichtuniversity.nl%3Apublications%2F0ae1aba0-1a19-4ada-90bf-1bf9716481b9],
: [https://mdanderson.elsevierpure.com/en/publications/user-controlled-pipelines-for-feature-integration-and-head-and-ne https://mdanderson.elsevierpure.com/en/publications/user-controlled-pipelines-for-feature-integration-and-head-and-ne],
: [https://academic.microsoft.com/#/detail/3003922976 https://academic.microsoft.com/#/detail/3003922976]

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Traverso et al 2020a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 642375694 to Traverso et al 2020a

Scipediacontent: Created page with " == Abstract == Purpose Precision cancer medicine is dependent on accurate prediction of disease and treatment outcome, requiring integration of clinical, imaging and int..."