H2020Индивидуална стипендия2017–2019

MIDxPRO · Microwave Diagnosis of Breast Cancer with Open Ended Contact Probes

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2017-05-08 → 2019-07-14
Финансиране от ЕС: 157 846 €
Участници: 1
Схема: MSCA-IF-EF-RI

Линиите свързват координатора с партньорите.

Накратко на български

Микровълнови сензори с отворен край се тестват за разграничаване на злокачествени от доброкачествени тъкани при рак на гърдата. По-точната диагностика помага за ранно откриване на болестта и намалява риска от човешки грешки и разходи при биопсиите.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Microwave Diagnosis of Breast Cancer with Open Ended Contact Probes

Diagnosis and treatment of breast cancer are currently performed in several steps. During the diagnosis, the tumor tissues are imaged with either mammography or ultrasound. Following the initial identification of the tumor, the malignancy is determined with biopsy. Similarly, during cancer resection surgeries, the excised sample should be analyzed by a pathology specialist to ensure complete removal of the malignant tissue, named Frozen Section Analysis (FSA). Both FSA and biopsy requires a specialist, time-consuming, and costly. The failure of the pathology in diagnosis may cause the growth and spread of the malignant tumor. Pathological failure during resection surgeries may cause the recurrence of the disease. In fact, many breast cancer patients go through radical mastectomy, which entails complete removal of the breast, to minimize the recurrence risk despite several severe complications. One technique that can emerge as an alternative to the pathology during diagnosis and treatment is the open-ended contact probe method. This technique is currently available for laboratory use. Due to the inherent dielectric property discrepancy between the malignant and benign tissues, the application of this technique as a biopsy device was envisioned in the literature. However, the biopsy application of the probe was overlooked due to the high measurement error rate of the technique. The improvement in the diagnosis and treatment techniques for breast cancer can aid the correct/early diagnosis of the disease. Similarly, enabling an automated decision-making system that can characterize the tissue type would both decrease the human error and the cost of analysis. Such a device can be deployed to rural areas to determine the malignancies in the physician’s office. The main goal of the project is to enable the practical usage of open-ended contact probe technique by decreasing the dielectric property measurement error. This can be done by addressing the error sources of the system which includes, • introducing a new mathematical approach, • optimizing the probe structure, • adopting Machine Learning algorithms, • verifying the modifications with in vivo experiments. Commercial probes are reporting an error rate of 5% in a laboratory environment while in the literature measurement error reported as high as 30% for a practical setting. By implementing the above-listed objectives, we can address the error sources while enabling the practical application of the technique.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

This action proposes to carry out research in open ended contact probe (OECP) technique to lay out foundation work for development of two new applications: an automated surgical margin detection device for breast cancer treatment and an automated microwave biopsy probe for breast cancer diagnosis. While the envisioned applications require a single and highly accurate measurement, OECP technique suffers from high error and low repeatability dielectric property measurements. The error mostly stems from the current mathematical approach utilized for the dielectric property retrieval which may converge to local minimum and can magnify the measurement set-up based errors. This research will first target the existing error by proposing robust mathematical retrieval approaches. Next, application based modifications will be investigated with new probe structures. Finally, further error minimization will be achieved by introducing classification algorithms. Developed techniques will be validated with animal experiments. The outcomes of this research will greatly contribute to the innovation of new medical devices that can be utilized for breast cancer, representing one of the most commonly diagnosed cancer type among women. The researcher is well-equipped and has the required capabilities to execute the objectives of this research. The host organization and supervisors have an extensive track record in medical device development, necessary infrastructure, network, and expertise. This research will allow the researcher to become independent by extending her network, publication/grant track record, skill sets, and more importantly, through joining an innovation oriented host organization, the researcher will gain expertise in phases that enables the research to be transformed into innovation. Finally, the goal of the proposed research, building the foundation for innovation, is also in line with ‘Future and Emerging Technologies’ call of the H2020 work program.

Оригинален текст от CORDIS (на английски).

Участници

ISTANBUL TEKNIK UNIVERSITESI · Maslak, IstanbulКоординаторТурция