Prostate Diagnosis using Optical Coherence Tomography
The PROCT project aims to enhance prostate cancer diagnosis by developing a semiautonomous robotic system using Optical Coherence Tomography for accurate, in vivo lesion analysis without biopsies.
Projectdetails
Introduction
With 1.3 million new cases worldwide, prostate cancer (PC) is the second most common cancer in men, causing more than 350,000 deaths each year. It is so common that about 1 man in 8 will be diagnosed with prostate cancer during his lifetime.
Importance of Early Diagnosis
As for any degenerative disease, early diagnosis is crucial to improve patients' quality of life and reduce the mortality rate. However, the gold standard technique (biopsy) is affected by large diagnostic errors, representing a major limitation to achieve adequate management of PC.
Project Overview
The PROCT project aims to validate in the pre-clinical stage a semiautonomous robotic approach to PC diagnosis based on Optical Coherence Tomography (OCT). This approach aims to:
- Exactly pinpoint the target lesion.
- Analyse it through an AI and robotic-based imaging setup.
This method can comprehensively visualize the lesions at the microscopic level in vivo, without taking any physical sample of the prostate. The resulting virtual microscope slide will allow urologists to explore and analyse various suspicious areas in the same procedure without the need to rely on the physical examination of the biopsy samples.
Paradigm Shift in Diagnosis
PROCT represents a paradigm shift in PC biopsy, poised to turn a subjective and operator-dependent procedure into a safer and more accurate diagnostic tool. This solution is obtained by merging:
- AI-based target identification
- Robotic pointing developed in the previous PoC project PROST
- A micro-optical coherence tomography sensor capable of acquiring images of the prostate through a needle at cellular-level resolution.
Validation and Testing
The PROCT prototype will be laboratory validated and benchmarked to assess its usability and real-time capabilities. It will also be tested and validated on ex-vivo animal tissues and in the cadaver laboratory.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 150.000 |
Totale projectbegroting | € 150.000 |
Tijdlijn
Startdatum | 1-10-2022 |
Einddatum | 30-9-2024 |
Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- UNIVERSITA DEGLI STUDI DI VERONApenvoerder
- DAY ONE SOCIETA A RESPONSABILITA LIMITATA
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
PROstate Focal THerapyThe PROFTH project aims to advance prostate cancer focal therapies by developing robotics and AI for precise ablation device positioning, enhancing treatment safety and efficacy. | ERC Proof of... | € 150.000 | 2024 | Details |
In vivo Immunofluorescence-Optical Coherence TomographyDevelop a high-resolution endoscopic imaging system combining Optical Coherence Tomography and fluorescent antibodies for improved diagnosis and treatment of esophageal cancer and lung disease. | ERC Advanced... | € 2.500.000 | 2025 | Details |
Multi-sensor Eversion Robot Towards Intelligent Endoscopic Diagnosis and TherapyEndoTheranostics aims to revolutionize colorectal cancer screening and treatment through a robotic system that enables painless preparation, real-time polyp detection, and effective removal using advanced imaging and tools. | ERC Synergy ... | € 7.616.426 | 2024 | Details |
AI to predict Cancer metastasis using Ultra-Echo-Sono imagingAI CUrES aims to enhance early diagnosis and pre-emptive therapies for cancer metastasis by utilizing nanosized-contrast agents and AI-driven bioimaging of extracellular vesicles from colorectal tumors. | ERC Proof of... | € 150.000 | 2022 | Details |
A Real-time imaging and classification system for low-grade glioma detection during brain surgeryThis project aims to develop a real-time imaging tool for neurosurgeons to accurately identify low-grade glioma tissue during surgery, enhancing tumor removal and improving patient outcomes. | ERC Proof of... | € 150.000 | 2022 | Details |
PROstate Focal THerapy
The PROFTH project aims to advance prostate cancer focal therapies by developing robotics and AI for precise ablation device positioning, enhancing treatment safety and efficacy.
In vivo Immunofluorescence-Optical Coherence Tomography
Develop a high-resolution endoscopic imaging system combining Optical Coherence Tomography and fluorescent antibodies for improved diagnosis and treatment of esophageal cancer and lung disease.
Multi-sensor Eversion Robot Towards Intelligent Endoscopic Diagnosis and Therapy
EndoTheranostics aims to revolutionize colorectal cancer screening and treatment through a robotic system that enables painless preparation, real-time polyp detection, and effective removal using advanced imaging and tools.
AI to predict Cancer metastasis using Ultra-Echo-Sono imaging
AI CUrES aims to enhance early diagnosis and pre-emptive therapies for cancer metastasis by utilizing nanosized-contrast agents and AI-driven bioimaging of extracellular vesicles from colorectal tumors.
A Real-time imaging and classification system for low-grade glioma detection during brain surgery
This project aims to develop a real-time imaging tool for neurosurgeons to accurately identify low-grade glioma tissue during surgery, enhancing tumor removal and improving patient outcomes.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
AI and Robotics for Prostate BiopsyThe ROBIOPSY project aims to develop a robotic prostate biopsy prototype for clinical trials, enhancing diagnostic accuracy and addressing health economics for improved cancer treatment. | EIC Transition | € 2.499.141 | 2023 | Details |
Prostate Cancer Diagnosis, Localisation and Characterisation using UltrasoundPCaVision aims to enhance prostate cancer diagnosis using cost-effective ultrasound imaging and algorithms, improving patient access and reducing healthcare costs across 16 EU clinics. | EIC Transition | € 1.950.000 | 2022 | Details |
Prostate cancer diagnostics using a non-invasive test based on innovative glycan-based scanningProSCAN aims to clinically validate a non-invasive liquid biopsy test for early-stage prostate cancer detection, potentially reducing unnecessary biopsies and associated costs significantly. | EIC Accelerator | € 1.987.387 | 2021 | Details |
Optische biopsie voor blaasdiagnostiekDit project ontwikkelt een katheter met OCT-technologie om blaaskanker nauwkeuriger te diagnosticeren en de behandeling te optimaliseren, waardoor vals positieven en recidieven verminderen. | Mkb-innovati... | € 141.073 | 2017 | Details |
Chemometric histopathology via coherent Raman imaging for precision medicineThe CHARM project aims to revolutionize cancer diagnosis with a novel AI-integrated, label-free tissue analysis system, achieving high accuracy in tumor identification and classification. | EIC Transition | € 2.441.979 | 2022 | Details |
AI and Robotics for Prostate Biopsy
The ROBIOPSY project aims to develop a robotic prostate biopsy prototype for clinical trials, enhancing diagnostic accuracy and addressing health economics for improved cancer treatment.
Prostate Cancer Diagnosis, Localisation and Characterisation using Ultrasound
PCaVision aims to enhance prostate cancer diagnosis using cost-effective ultrasound imaging and algorithms, improving patient access and reducing healthcare costs across 16 EU clinics.
Prostate cancer diagnostics using a non-invasive test based on innovative glycan-based scanning
ProSCAN aims to clinically validate a non-invasive liquid biopsy test for early-stage prostate cancer detection, potentially reducing unnecessary biopsies and associated costs significantly.
Optische biopsie voor blaasdiagnostiek
Dit project ontwikkelt een katheter met OCT-technologie om blaaskanker nauwkeuriger te diagnosticeren en de behandeling te optimaliseren, waardoor vals positieven en recidieven verminderen.
Chemometric histopathology via coherent Raman imaging for precision medicine
The CHARM project aims to revolutionize cancer diagnosis with a novel AI-integrated, label-free tissue analysis system, achieving high accuracy in tumor identification and classification.