BREASTCANCERDETECT · Multimodal Novel Technique for Breast Cancer Detection and Classification Combining PEM with UWB
7РП — „Хора“ (Действия „Мария Кюри“)
- Период
- 2013-01-01 → 2015-11-30
- Финансиране от ЕС
- 151 427 €
- Участници
- 1
- Схема
- MC-IEF
Линиите свързват координатора с партньорите.
Накратко на български
Комбинирането на позитронна емисионна мамография и ултрашироколентови микровълнови радари помага за откриване и разпознаване на тумори в гърдата. Този подход подобрява точността на диагностиката, включително и при изследване на подмишниците за лимфни възли.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Multimodal Novel Technique for Breast Cancer Detection and Classification Combining PEM with UWB
The project was divided in 6 Work Packages (WP) which comprised the following objectives. The main objective of WP 1 was to develop numerical breast models compatible for simulations of both Positron Emission Mammography (PEM) and microwave Ultra WideBand (UWB) radar imaging modalities. The main objective of WP 2 was to complete simple tumour detection in the comparable breast models, using both PEM and UWB. The main objective of WP 3 was to complete complex tumour detection (PEM). The main objective of WP 4 was to complete UWB-based classification of PEM-detected tumours. The main objective of WP 5 was to organise and complete a number of dissemination activities. The main objective of WP 6 concerned the management of the project. The researcher successfully developed a number of numerical breast models which were suited to be simultaneously tested with both PEM and UWB imaging modalities. Several tumour models (of several sizes and shapes) were placed in different breast models in different places within the breast and simulated for both PEM and UWB imaging modalities. Tumour detection was completed for both PEM and UWB, and compared between the two modalities. Complex tumour detection and subsequent classification were completed using UWB. A number of parallel lines of research were also explored during this project, most significantly the researcher tested the feasibility of using UWB microwave imaging to detect and diagnose axillary lymph nodes to aid breast cancer diagnosis. These initial results are very promising – an award was won: 1st place in the MSc category of the Fraunhofer Portugal Challenge – and have supported a number of grant applications currently under review. The researcher has published 4 journal papers and 19 conference papers during the period of this Intra-European Fellowship. Also, she was the recipient of 6 awards and prizes. She also organised several scientific meetings, focus/convened sessions at conferences, talks, seminars. She has supervised 1 PhD student, 6 Masters students, 4 undergraduate students, and is mentoring the work of 2 PhD students. The researcher expects to further explore the classification algorithms resulting from WP 4 and test them with the clinically-informed breast tumour models developed in collaboration with the National University of Ireland, Galway. The researcher plans to visit this institution in March 2016 with this purpose. This institution is currently developing a UWB microwave imaging device for breast imaging and these algorithms may be suitable for implementation in their prototype device.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
Breast cancer is the most common type of cancer and the 5th leading cause of death amongst women in developed countries as of 2004, according to the World Health Organisation. X-Ray mammography is the defacto imaging examination used for diagnosis; however there are well-known limitations in terms of sensitivity and specificity, especially in dense breasts common in younger women. This leads to worrying levels of false results, which may ultimately compromise the efficiency of treatment.This project will combine two novel breast cancer imaging techniques: Positron Emission Mammography (PEM) and Ultra Wideband Radar (UWB). It is sought to create equivalent computer breast and tumour models that will be used simultaneously in PEM and UWB simulations. This will be accomplished by adapting Magnetic Resonance breast data, in collaboration with the University of Calgary, Canada. Different types of tissue will be modelled in an FDTD simulation for UWB, while Monte Carlo simulations will be used for PEM. We will use simulated data to test the sensitivity and specificity of detection and classification of tumours, varying from very fatty to high dense breast models.Doubtful classification of tumours that may be obtained with PEM (in cases of small multifocal tumours or in cases with borderline Standardized Uptake Values) are expected to be resolved by applying combined automatic classification techniques to Radar Target Signatures of tumours obtained with UWB. The use of radar information will help differentiate tumours fine morphology (invisible to PEM) increasing the knowledge about its aggressiveness.The main objective of this work is to make a significant contribution to a more reliable multimodal breast examination which will have higher rates of sensitivity and specificity. In view of recent technical developments in UWB Radar and PEM systems, we aim to provide the basic scientific knowledge to justify the interest of building a hybrid PEM-UWB system.
Оригинален текст от CORDIS (на английски).
Участници
- FUNDACAO DA FACULDADE DE CIENCIAS DA UNIVERSIDADE DE LISBOA FP · LisboaКоординаторПортугалия
Връзки
Данни: CORDIS, © Европейски съюз