H2020Individual fellowship2019–2021

SIMULTANEOUS DBTMI · Preclinical and Pilot Co-Clinical Evaluation of Simultaneous Digital Breast Tomosynthesis and Mechanical Imaging

Horizon 2020 — Marie Skłodowska-Curie Actions

Duration
2019-08-15 → 2021-08-14
EU contribution
€203,852
Participants
1
Scheme
MSCA-IF-EF-RI

Lines connect the coordinator with its partners.

Results in brief

Preclinical and Pilot Co-Clinical Evaluation of Simultaneous Digital Breast Tomosynthesis and Mechanical Imaging

The SIMULTANEOUS DBTMI project has been motivated by limitations of the breast cancer screening – missed cancers and false positive (FP) findings. DBTMI combines digital breast tomosynthesis (DBT) and mechanical imaging (MI). DBT is a pseudo-3D x-ray modality, with improved cancer detection. MI measures local stress on the breast surface to distinguish benign vs malignant tumors and reduce FPs. Our project aimed to build a prototype DBTMI system, test it preclinically by virtual clinical trials (VCTs) and physical phantoms, and run pilot clinical tests. The overall objectives of this project have been achieved. MSCA fellow, Dr Predrag Bakic and his Lund University hosts, Prof Sophia Zackrisson and Dr Anders Tingberg built a DBTMI prototype and performed a variety of preclinical tests to optimize image quality. The system has been used to acquire clinical DBTMI of women recalled from screening for suspicious findings. Clinical images have been collected at the Skane University Hospital (SUS). The analysis of clinical data is ongoing. The MSCA fellowship has been very beneficial for Dr Bakic’s professional development. He supervised PhD and Master students, taught various courses, published multiple journal and conference papers, and submitted several grant proposals. Upon the completion of the MSCA fellowship, Dr Bakic has continued his employment at Lund University as a researcher, applying for a faculty position.

Data: CORDIS, © European Union

Project objective

This MSCA is designed to support Dr. Predrag Bakic in his professional development and reintegration into European research community, after he obtained Ph.D. and spent 12 years as a faculty in USA. The host institution, Lund University (LU), is one of the largest in Sweden and among the most prestigious in Europe. Dr. Bakic and his LU supervisors, Dr. Sophia Zackrisson and Dr. Anders Tingberg, share the research focus in breast imaging, with unique complementary expertise: Dr. Bakic in Virtual Clinical Trials (VCTs) based upon the simulation of breast anatomy and imaging systems, and LU team in Mechanical Imaging (MI) and conducting clinical trials of breast imaging. Our action is motivated by a persistent challenge of underdiagnosis and false positives in breast cancer healthcare. The four most exciting innovations in breast cancer imaging that have recently emerged include: Digital Breast Tomosynthesis (DBT), MI, VCTs, and artificial intelligence (AI). In this application we will utilize extensive experience of LU and Dr. Bakic to interconnect these innovations efficiently and flexibly, enabling significant benefits. Within the two-year timeline, we will design and build a simultaneous DBT and MI (termed DBTMI) prototype system, and develop image processing and DBT reconstruction to maximize image quality. We will evaluate the prototype, first preclinically by VCTs and physical phantoms, followed by a pilot co-clinical trial (which combines clinical and simulated data). We will also explore introducing modern AI methods, in the form of Deep Learning Networks (DLN) to improve DBTMI performance. DLN has demonstrated ability to discover complex correlations in clinical images, leading to superior detection and classification of clinical findings. Combined complementary experience, carefully designed knowledge-exchange activities, and LU excellent institutional resources, guarantee the success of this application, and Dr. Bakic's successful reintegration.

Original text from CORDIS.

Participants

  • LUNDS UNIVERSITET · LundCoordinatorSweden

Links

Data: CORDIS, © European Union