DESIREE Communi...

A few weeks ago, the 2nd Plenary Meeting of the DESIREE project consortium was held at the INSERM – LIMICS laboratory in the Cordeliers campus of Paris 6 University in the beautiful city of Paris. Our impression after this meeting is that many more aspects regarding our developments and challenges in our joint venture are much more clearly and sufficiently understood by everyone.

After two days of close collaboration, more than fifteen hours of productive exchange of views and opinions and hundreds of slides highlighting the job already done and describing the challenges awaiting, we can say with confidence that the DESIREE project is running at full speed. Our modus operandi as established during the past few months had been underlined by the full exploitation of the technological tools available to facilitate the coordination of work done in so different and distant places and working environments of the world.

And the truth is that everything had been – still is – working smoothly thanks to every partners’ commitment to the project, regular tele – and/or video-conferences and a high standard of professional approach and adaptability to new technology. Having said that, we have to admit that nothing can really substitute for the face-to-face communication. Traditional though it may be, live interaction puts work on a totally different, much faster and even potentially more effective basis.

Furthermore we should point out the intangible qualities added to any partnership by the face to face interaction. From coming to know in person the people that you ‘ve been working with from distance, to going out as a group and having a really good time together, all these details help structure the companionship mentality always necessary for efficient teamwork.

So from now-on we have one more sound foundation for the work shared by all of us in the consortium. And this is something that we will always have.

We will always have Paris…

DESIREE Communi...

Since we have been blogging here for a while it would only be fair to explain the context in which this blog post subscribes. In other words we should try and give a general idea of our communication philosophy and modus operandi.

For all the changes that have taken place in recent years in the communication industry, there is a famous phrase that still holds true and even applies to this modern era of diversified communication in a more accurate way:

“The medium is the message”!

And even though Marshall McLuhan did not live to “enjoy” the perfect application of the phrase he coined, it nevertheless serves a symbolic guiding principle to today’s complicated and ever evolving field of communication.

Having this in mind we designed a multi-faceted and cross-functional arsenal of tools to help us communicate our cause.

As a matter of fact we like to use the term dissemination more than the – more traditional – one, “communication” in order to encompass the variety of mediums we use in order to communicate our messages to different target-audiences and with different respective approaches.

So during this starting stage of the DESIREE project we employ the following tactics as part of our dissemination strategy:

Project Advisory Board – PAB: DESIREE is already putting in place a dedicated Project Advisory Board (PAB) in order to both request input on project direction but also as an effective means of targeted dissemination.

Scientific dissemination: The scientific publications of the project can be classified in two groups: Scientific and Technical papers. The project research outputs will be disseminated through peer-reviewed publications in high impact journals and conferences.

Social media: Obviously we intend to greatly exploit them for project communication purposes to address the general public and targeted audiences, spreading the word and creating expectation about DESIREE contribution. Our first step is our twitter account, already up and running.

Website: The DESIREE public website is one of the key communication and dissemination tools for the project. It serves as a public window, in which the project communicates relevant information about its goals, progress, etc.

Newsletter: A regular DESIREE newsletter is planned, to be issued when key Milestones are reached or whenever there is relevant information to be disseminated, in order to present the progress of the project to the general public. The first issue is underway and you are welcome to subscribe.

DESIREE Communi...

We mentioned in a previous post how the DESIREE project sees itself as being ambitious and multidisciplinary. Well, this is not just words and the best way to prove it is by showcasing the full spectrum of our objectives.

Our work is structured around specific goals and our effort is focused on achieving each and every one of them in due course.

Here is an outline of the DESIREE project general objectives:

  • Improve the coordination and multidisciplinary management of breast cancer cases in Breast Units, allowing handling a vast amount of heterogeneous, multi-scale, dynamic and timely information generated during the course of treatment andproviding a unified, multidisciplinary, multi-scale holistic view of the patient (digital patient) and its current needs
    • By the provision of a web-based Software as a Service (SaaS) collaborative environment that includes advanced intuitive visual exploratory interfaces for studying, contrasting and presenting the patient case based on a complex digital breast cancer patient model.
  • Exploiting novel sources of information not used or underexploited clinical practice, which may have important diagnostic or prognostic value and may influence decision, such as imaging, genetic and biological data, data on administration of therapeutics, risk factors or environmental or social aspects.
    • By developing a complex digital breast cancer patient (DBCP) model representing the case, that incorporates all this data in a structured manner for agile exploration and case representation, as well as intuitive data mining and visualization tools capable of retrieving and comparing similar cases and test the influence of some of these parameters on retrospective data, assessing its potential decisional value and influence.
  • Exploiting the rich information contained in routine imaging examinations providing useful and objective quantitative imaging biomarkers with prognostic and diagnostic value. These may be calculated and compared along the treatment course and also across different cases, leveraging the data accumulated in retrospective cases with known outcomes.
    • By the development of highly automated advanced medical image-analysis algorithms, which will be incorporated into web-based medical interactive image analysis tools or as cloud-based batch processes.
  • Developing tools for the visual assessment of the possible aesthetic outcome of Breast Conservative Therapy, improving the interaction between the patient and the surgeon, and with possible implications in the reduction of secondary interventions or in prognostic effects of adjuvant therapies, such as radiotherapy or systemic treatments.
    • By incorporating, adapting and refining an existing patient-specific multi-scale physiological model of BCT that couples a biological model of wound healing to a mechanical model of the breast tissues, and which may also incorporate the effects of systemic and RT treatments.
  • Provide decision support for the diversity of therapeutic options available in PBC (surgical options, RT treatments, (neo) adjuvant systemic therapies)
    • By developing a decision support system (DSS) based on a complex know-ledge model that evolves by incorporating the experience of the clinical team on previous cases, decisions and outcomes (represented by the DBCP data model), predictions about therapeutic outcomes (i.e. from the models) and the opinion and context information of the patient.

For a more specific and quantified presentation of our objectives you may also visit our website

DESIREE Communi...

Breast cancer is the most common and most deadly type of cancer affecting woman in the EU countries, with more than 460,000 new cases and 130,000 deaths in 2012 (EUCAN2).

Multidisciplinary Breast Units (BUs) were introduced in order to deal efficiently with breast cancer cases, setting guideline-based quality procedures, clinical decisions on cases based on consensus and a high standard of care. BUs consists of a multidisciplinary team of clinicians, including medical oncologists, surgeons, radiologists, radioncologists, pathologists and other profiles that periodically meet to discuss new and ongoing cases in order to take therapeutic decisions.

Despite the evident advances, daily clinical practice and case presentation in the BUs is hampered by the complexity of the disease, the ever-growing amount of patient and disease data available in the digital era, the difficulty in coordination, the pressure exerted by the system and the difficulty in deciding on cases that guidelines do not reflect. 

The amount of data generated for every case may be overwhelming. A single case usually lasts for months or years, with repeated cycles of diagnostics and treatments. The associated digital information generated is increasing exponentially. Medical images may consist of complex datasets, sometimes including 3D modalities such as Computed Tomography or Magnetic Resonance with increasing resolution and different sequences providing complementary information. Digital pathology slides of tumor samples are starting to be commonplace, with the advent of whole-slide imaging digitalizing the whole sample in a huge mosaic.

Furthermore, the advent of the massive sequencing era, is starting to provide crucial information allowing to characterize the tumor (tumoromics) or the possible reaction of the patient to the drug (pharmacogenomics). The potential of exploiting this information and comparing it with other cases is enormous.

Furthermore, clinicians have to keep up-to- date with an overwhelming amount of studies, evidence and new therapeutic options. What is worse, clinical guidelines, based on strong evidence, lag about three years behind the state-of- the-art in diagnostic and treatments that already impact every day care. Still, there are many gaps regarding the applicability of a specific treatment on a given patient, as clinical trials only represent a limited spectrum of the population the drug is targeting.

Clinicians in the BU have to deal with all this information during case presentation, creating a picture of the patient and a mental map of knowledge, and take a therapeutic decision, sometimes clear, sometimes uncertain, in a time span that may range from 3 to 10 minutes, most of the times with the only help of a few pictures.

The advent of the BUs has had an important impact in oncology practice, but may drown in an intractable amount of data. This is where DESIREE will come to the rescue…

DESIREE Communi...

This is the official blog spot of the DESIREE project, an ambitious collective effort to make a difference from an innovation standpoint for a great cause.

On this blog we will be sharing experiences and views relevant to our work from different and variant perspectives and will be anticipating your comments and respective opinions.

Regarding our work, the DESIREE project aims to provide a web-based software ecosystem for the personalized, collaborative and multidisciplinary management of Primary Breast Cancer by specialized Breast Units, from diagnosis to therapy and follow-up.

If this technical terminology sound unfamiliar, just remember that breast cancer is the most common and most deadly type of cancer affecting woman in the EU countries, with more than 460,000 new cases and 130,000 deaths in 2012 (EUCAN2). And just think of DESIREE as a working group put together in order to provide decision support on the available therapy options going beyond the limitations of existing guideline-based decision support systems (DSS).

We believe in strength in numbers and a multidisciplinary approach. That’s why we built a team with partners from around the world with complementary expertise and cross-functional skills.

On one hand, the consortium includes technical experts in image analysis (ARIVIS, ERESA, Ulster University, Vicomtech-IK4), biology and genetics (ERESA, Sistemas Genómicos), predictive modelling (Medical Innovation and Technology, Sistemas Genómicos, University of Houston), decision support systems (INSERM-LIMICS, Ulster University, Vicomtech-IK4), visualization (ARIVIS, Ulster University, Vicomtech-IK4,) and software development in the clinical domain (ARIVIS, BILBOMATICA).

On the other hand, it includes experts in all fields related to oncology, including end users with expertise in health technology assessment and validation for radiology (ERESA), decision support systems (ERESA, Hôpital Tenon, Onkologikoa) and breast surgery (University of Houston). 

In developing this project we would like to provide our impressions and share some of our knowledge in subjects related to these developments in a more informal and interactive manner such as: consortium members and their expertise, trends in diagnosis and treatment of breast cancer, applications of ICT technologies to this domain, decision support systems for breast units, computational and predictive modeling, other subjects that may be of interest for our readers, etc.

To sum up, since multidisciplinary interaction is well built within our structure, we will be welcoming your contribution.

So, feel free to interact!

The DESIREE consortium

DESIREE has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 690238.