Development and validation of prognostic models for anal cancer outcomes using distributed learning: protocol for the international multi-centre atomCAT2 study

Stelios Theophanous; Per-Ivar Lønne; Ananya Choudhury; Maaike Berbee; Andreas Dekker; Kristopher Dennis; Alice Dewdney; Maria Antonietta Gambacorta; Alexandra Gilbert; Marianne Grønlie Guren; Lois Holloway; Rashmi Jadon; Rohit Kochhar; Ahmed Allam Mohamed; Rebecca Muirhead; Oriol Parés; Lukasz Raszewski; Rajarshi Roy; Andrew Scarsbrook; David Sebag-Montefiore; Emiliano Spezi; Karen-Lise Garm Spindler; Baukelien van Triest; Vassilios Vassiliou; Eirik Malinen; Leonard Wee; Ane L Appelt

doi:10.1186/s41512-022-00128-8

Development and validation of prognostic models for anal cancer outcomes using distributed learning: protocol for the international multi-centre atomCAT2 study

Stelios Theophanous, Per-Ivar Lønne, Ananya Choudhury, Maaike Berbee, Andreas Dekker, Kristopher Dennis, Alice Dewdney, Maria Antonietta Gambacorta, Alexandra Gilbert, Marianne Grønlie Guren, Lois Holloway, Rashmi Jadon, Rohit Kochhar, Ahmed Allam Mohamed, Rebecca Muirhead, Oriol Parés, Lukasz Raszewski, Rajarshi Roy, Andrew Scarsbrook, David Sebag-MontefioreEmiliano Spezi, Karen-Lise Garm Spindler, Baukelien van Triest, Vassilios Vassiliou, Eirik Malinen, Leonard Wee, Ane L Appelt

Research output: Contribution to journal › Article

Original language	English
Pages (from-to)	14-N/A
Journal	DIAGNOSTIC AND PROGNOSTIC RESEARCH
Volume	6
DOIs	https://doi.org/10.1186/s41512-022-00128-8
Publication status	Published - 2022

Keywords

Anal cancer
Chemoradiotherapy
Distributed learning
Federated learning
Freedom from distant metastasis
Locoregional control
Overall survival
Squamous cell carcinoma
outcome modelling

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1186/s41512-022-00128-8

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Theophanous, S., Lønne, P.-I., Choudhury, A., Berbee, M., Dekker, A., Dennis, K., Dewdney, A., Gambacorta, M. A., Gilbert, A., Guren, M. G., Holloway, L., Jadon, R., Kochhar, R., Mohamed, A. A., Muirhead, R., Parés, O., Raszewski, L., Roy, R., Scarsbrook, A., ... Appelt, A. L. (2022). Development and validation of prognostic models for anal cancer outcomes using distributed learning: protocol for the international multi-centre atomCAT2 study. DIAGNOSTIC AND PROGNOSTIC RESEARCH, 6, 14-N/A. https://doi.org/10.1186/s41512-022-00128-8

@article{ebcf59eac2a6421391742123cd97eb4b,

title = "Development and validation of prognostic models for anal cancer outcomes using distributed learning: protocol for the international multi-centre atomCAT2 study",

keywords = "Anal cancer, Chemoradiotherapy, Distributed learning, Federated learning, Freedom from distant metastasis, Locoregional control, Overall survival, Squamous cell carcinoma, outcome modelling, Anal cancer, Chemoradiotherapy, Distributed learning, Federated learning, Freedom from distant metastasis, Locoregional control, Overall survival, Squamous cell carcinoma, outcome modelling",

author = "Stelios Theophanous and Per-Ivar L{\o}nne and Ananya Choudhury and Maaike Berbee and Andreas Dekker and Kristopher Dennis and Alice Dewdney and Gambacorta, {Maria Antonietta} and Alexandra Gilbert and Guren, {Marianne Gr{\o}nlie} and Lois Holloway and Rashmi Jadon and Rohit Kochhar and Mohamed, {Ahmed Allam} and Rebecca Muirhead and Oriol Par{\'e}s and Lukasz Raszewski and Rajarshi Roy and Andrew Scarsbrook and David Sebag-Montefiore and Emiliano Spezi and Spindler, {Karen-Lise Garm} and {van Triest}, Baukelien and Vassilios Vassiliou and Eirik Malinen and Leonard Wee and Appelt, {Ane L}",

year = "2022",

doi = "10.1186/s41512-022-00128-8",

language = "English",

volume = "6",

pages = "14--N/A",

journal = "DIAGNOSTIC AND PROGNOSTIC RESEARCH",

issn = "2397-7523",

publisher = "London, United Kingdom : BioMed Central Ltd",

}

Theophanous, S, Lønne, P-I, Choudhury, A, Berbee, M, Dekker, A, Dennis, K, Dewdney, A, Gambacorta, MA, Gilbert, A, Guren, MG, Holloway, L, Jadon, R, Kochhar, R, Mohamed, AA, Muirhead, R, Parés, O, Raszewski, L, Roy, R, Scarsbrook, A, Sebag-Montefiore, D, Spezi, E, Spindler, K-LG, van Triest, B, Vassiliou, V, Malinen, E, Wee, L & Appelt, AL 2022, 'Development and validation of prognostic models for anal cancer outcomes using distributed learning: protocol for the international multi-centre atomCAT2 study', DIAGNOSTIC AND PROGNOSTIC RESEARCH, vol. 6, pp. 14-N/A. https://doi.org/10.1186/s41512-022-00128-8

TY - JOUR

T1 - Development and validation of prognostic models for anal cancer outcomes using distributed learning: protocol for the international multi-centre atomCAT2 study

AU - Theophanous, Stelios

AU - Lønne, Per-Ivar

AU - Choudhury, Ananya

AU - Berbee, Maaike

AU - Dekker, Andreas

AU - Dennis, Kristopher

AU - Dewdney, Alice

AU - Gambacorta, Maria Antonietta

AU - Gilbert, Alexandra

AU - Guren, Marianne Grønlie

AU - Holloway, Lois

AU - Jadon, Rashmi

AU - Kochhar, Rohit

AU - Mohamed, Ahmed Allam

AU - Muirhead, Rebecca

AU - Parés, Oriol

AU - Raszewski, Lukasz

AU - Roy, Rajarshi

AU - Scarsbrook, Andrew

AU - Sebag-Montefiore, David

AU - Spezi, Emiliano

AU - Spindler, Karen-Lise Garm

AU - van Triest, Baukelien

AU - Vassiliou, Vassilios

AU - Malinen, Eirik

AU - Wee, Leonard

AU - Appelt, Ane L

PY - 2022

Y1 - 2022

KW - Anal cancer

KW - Chemoradiotherapy

KW - Distributed learning

KW - Federated learning

KW - Freedom from distant metastasis

KW - Locoregional control

KW - Overall survival

KW - Squamous cell carcinoma

KW - outcome modelling

KW - Anal cancer

KW - Chemoradiotherapy

KW - Distributed learning

KW - Federated learning

KW - Freedom from distant metastasis

KW - Locoregional control

KW - Overall survival

KW - Squamous cell carcinoma

KW - outcome modelling

UR - http://hdl.handle.net/10807/235325

U2 - 10.1186/s41512-022-00128-8

DO - 10.1186/s41512-022-00128-8

M3 - Article

SN - 2397-7523

VL - 6

SP - 14-N/A

JO - DIAGNOSTIC AND PROGNOSTIC RESEARCH

JF - DIAGNOSTIC AND PROGNOSTIC RESEARCH

ER -

Development and validation of prognostic models for anal cancer outcomes using distributed learning: protocol for the international multi-centre atomCAT2 study

Keywords

UN SDGs

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