DCE-imaging biomarker construction in cancer treatment Statistical tools
DCE-imaging biomarker construction in cancer
treatment
Statistical tools
Yves Rozenholc
USPC - Universit´e Paris Descartes
Facult´e de Pharmacie
MERIT - UMR IRD 216
http://up5.fr/rozenholc
Y. Rozenholc (USPC - UPD) Statistical tools for DCE-imaging biomarker construction in cancer treatmentSMAC Canc´eropˆole GS0 7/4/16
Outline
1Medical framework and goal
2Automatic clustering DCE image sequences
3Tissue microvascular circulation estimation
4A complex global framework involving registration
5Testing in convolution models
Y. Rozenholc (USPC - UPD) Statistical tools for DCE-imaging biomarker construction in cancer treatmentSMAC Canc´eropˆole GS0 7/4/16
Medical framework and goal
1Medical framework and goal
2Automatic clustering DCE image sequences
3Tissue microvascular circulation estimation
4A complex global framework involving registration
5Testing in convolution models
Y. Rozenholc (USPC - UPD) Statistical tools for DCE-imaging biomarker construction in cancer treatmentSMAC Canc´eropˆole GS0 7/4/16
Medical framework and goal
Angiogenesis in cancer with C-A Cu´enod (HEGP - LRI)
IDEA: An early 90’s point of view
tumor ⇌growth⊕⇌energy ⇌glucose ⇌vascularization⊕
“Reducing angiogenesis will asphyxiate the tumor”.
An interesting but unfortunately wrong idea
However, penalizing angiogenesis induces:
a regularization of the tumor blood pathways,
an improvement of the tumor vessel efficiency.
Current point of view
At least anti-angiogenesis treatments may help to bring chemical weapons inside the tumor.
“Anti-angiogenesis treatments help to fight tumors from inside”.
Y. Rozenholc (USPC - UPD) Statistical tools for DCE-imaging biomarker construction in cancer treatmentSMAC Canc´eropˆole GS0 7/4/16
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