Objective
Colorectal cancer represents around one tenth of all cancers worldwide. Early and accurate diagnosis and precise intervention can increase cure rate up to 90%. Improved diagnostic techniques with enough sensitivity and specificity are required to allow in situ assessment, safe characterization and resection of lesions during clinical practice interventions.
The multidisciplinary PICCOLO team proposes a new compact, hybrid and multimodal photonics endoscope based on Optical Coherence Tomography (OCT) and Multi-Photon Tomography (MPT) combined with novel red-flag fluorescence technology for in vivo diagnosis and clinical decision support. By combining the outstanding structural information from OCT with the precise functional information from MPT, this innovative endoscope will provide gastroenterologists immediate and detailed in situ identification of colorectal neoplastic lesions and facilitate accurate and reliable in vivo diagnostics, with additional, grading capabilities for colon cancer as well as in-situ lesion infiltration and margin assessment. With the development of compact instrumentation, the cost of the components and thus the system will be significantly reduced. Human representative animal models will be used to generate imaging biomarkers that allow automated detection, assessment and grading of disease. The developed system will be tested in operating room conditions.
The consortium comprises the whole value chain including pre-clinical and clinical partners, technology providers, photonics SMEs and endoscopy market leader company. The project will permit these companies to enhance their competitiveness and leadership in the diagnostics sector as well as exploiting new market opportunities. The new endoscope will significantly impact clinical practice allowing in vivo optical biopsy assessment via the automatic analysis of images allowing accurate and efficient characterisation of colorectal lesions.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencescomputer and information sciencessoftware
- natural sciencescomputer and information sciencesdatabases
- humanitieslanguages and literatureliterature studiesliterary genresessays
- medical and health sciencesclinical medicineoncologycolorectal cancer
- natural sciencesphysical sciencesopticslaser physics
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback.
You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Programme(s)
Topic(s)
Call for proposal
(opens in new window) H2020-ICT-2016-2017
See other projects for this callSub call
H2020-ICT-2016-1
Funding Scheme
RIA - Research and Innovation actionCoordinator
48160 DERIO BIZKAIA
Spain