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Quibim Team

We are Hiring! Do you want to be a Quibimer?

We are excited to announce that we are seeking an Engineer to join our fantastic team in Valencia.

What do we need?

  • Enginner with 1-2 years of experience in the field of software development and medical imaging (biomedical, Computing, Electronics)
  • Experience as Java Developer
  • Experience with SQL databases
  • Experience in web development based on API-REST
  • Experience with GIT version control
  • Experience in application deployment with Apache Tomcat
  • Fluent english

Our ideal candidate’ Skills & Experience…

  • Experience with Spring or Jersey frames
  • Experience in integrating external APIs
  • Experience with the dcm4che library
  • Test Driven Development Experience (TDD / BDD)
  • Experience with the DICOM and HL7 standards
  • Experience in integration with PACS and RIS systems
  • Experience in developing CLI applications

What is a plus?

  • Experience with the C ++, Python or NodeJS languages
  • Experience as a FrontEnd
  • Experience with NoSQL databases
  • Experience with Microsoft Azure

If you are proactive, dynamic and forward thinking profile Apply Here

 

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Quibim Precision V2.0

It is a real pleasure for Quibim to announce the release of Precision 2.0. On this new version, we have focused on improving its performance, making it more powerful and user friendly. Keep reading to know how we did it…
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QUIBIM cierra una ronda de inversión de 550.000€

La financiación permitirá a la empresa mejorar su plataforma de análisis de imágenes médicas y su comercialización

 

Valencia, 27 de diciembre de 2016. QUIBIM S.L, empresa biotecnológica de análisis avanzado de imágenes médicas, ha anunciado el cierre de su primera ronda de financiación por un valor de 550.000 euros de la mano de Tech Transfer UPV, AYCE Capital, Bioinfogate y los propios promotores de la compañía.

Se trata de la primera empresa de España en cerrar una ronda de inversión con un fondo de transferencia tecnológica asociado a una Universidad Pública: TechTransfer UPV, cuya finalidad es la creación y consolidación de empresas con elevado potencial de crecimiento, procedentes del ámbito investigador. Esta ronda de inversión permitirá a la empresa acelerar el desarrollo y comercialización del producto para seguir creciendo como compañía referente en la gestión y procesado de imagen médica en el ámbito hospitalario e industria farmacéutica,  promoviendo así, su consolidación nacional y expansión internacional.

Con sede en Valencia, la empresa, que es Spin-Off del Instituto de Investigación Sanitaria La Fe, fue fundada en 2012 e impulsada por Ángel Alberich-Bayarri y el Dr. Luis Martí Bonmatí tras una larga trayectoria de investigación y desarrollo. Ángel Alberich-Bayarri es Dr. Ingeniero Biomédico por la Universidad Politécnica de Valencia y es el CEO de QUIBIM. Luis Martí-Bonmatí es un radiólogo de reconocido prestigio internacional y es el Director del Área Clínica de Imagen Médica del Hospital Universitario y Politécnico La Fe de Valencia.

El modelo de negocio de QUIBIM (Quantitative Imaging Biomarkers in Medicine) se  basa  en  la  extracción  de  información cuantitativa de las imágenes médicas radiológicas y de medicina nuclear mediante técnicas originales y avanzadas de procesamiento  computacional. Para Alberich-Bayarri, QUIBIM tiene por objetivo: “mejorar  los  procesos  de  diagnóstico  de  enfermedades  con  alta  incidencia y  evaluar  adecuadamente  los  cambios  que  producen  los tratamientos farmacológicos en el organismo, para  aportar  así,  diagnósticos  mucho  más certeros y precoces, complementando de manera cuantitativa y medible la valoración cualitativa que se realiza a partir del ojo del radiólogo en la Medicina actual”.

QUIBIM fue una de las start-ups valencianas seleccionadas en la 3ª edición del programa Lanzadera, promovido por el Presidente de Mercadona, Juan Roig. El programa Lanzadera permitió impulsar a la empresa con formación y asesoramiento, así como con una financiación aproximada de 200.000€.

La startup ha desarrollado una plataforma de análisis de imágenes médicas en la nube, que puede instalarse en versiones privadas para hospitales y para compañías farmacéuticas que desarrollen ensayos clínicos. A partir de imágenes de rayos X, Ecografía , TAC, Resonancia Magnética o PET, QUIBIM es capaz de aplicar avanzados algoritmos de análisis que incluyen metodologías basadas en procesamiento por GPU (unidades de procesamiento gráfico), Machine Learning o Big Data. El software de QUIBIM permite aportar una mayor información en los diagnósticos y poder evaluar de forma temprana la respuesta a los tratamientos farmacológicos.

La compañía comercializa diferentes modelos de análisis para hospitales, empresas farmacéuticas y radiólogos. Para 2017 mantiene un presupuesto de ventas de 500.000€ de los cuales a fecha de hoy tiene ya comprometido el 30%.

Según afirma Ángel Alberich-Bayarri: “Estamos muy satisfechos con el cierre de esta ronda porque supone un gran impulso para nosotros, la financiación nos permitirá mejorar nuestra plataforma de análisis y su comercialización. Además, los inversores no aportan únicamente el capital, sino también su experiencia en el sector biotecnológico, lo que nos es de especial relevancia en esta fase de crecimiento”.

Por su parte, Pedro de Álava, director del Fondo Tech Transfer UPV, ha destacado que “la imagen médica está revolucionando la medicina al aportar soluciones personalizadas, precisas y predictivas del comportamiento de las enfermedades. Y el proyecto de QUIBIM reúne talento, disciplina técnica y escalabilidad, lo que genera un amplio valor para hospitales, empresas farmacéuticas y pacientes”.

El Dr. José Mateos, especialista en diagnóstico por imagen y director médico de Imagen Ensayos Clínicos S.L (IEC) empresa líder en la gestión de imagen en ensayos clínicos con más de 10 años de experiencia aportando valor a los estudios promocionados por los principales laboratorios farmacéuticos y CROs a nivel internacional, ha explicado “Durante los últimos 3 años estamos creciendo y consolidando nuestra posición a nivel local y nacional. La inversión actual de nuestra compañía en Quibim y las sinergias ya establecidas hace unos meses entre ambas empresas nos situarán como referentes indispensables en ensayos clínicos a nivel nacional e internacional”.

El Dr Jose Prous, Director Ejecutivo de BioInfoGate y cofundador del Prous Institute for Biomedical Research subrayó: “Los biomarcadores de imagen constituyen un elemento clave para optimizar el descubrimiento, desarrolllo y aplicación clínica de fármacos más eficaces y seguros. En la nueva era de la medicina de precisión, los innovadores métodos analíticos desarrollados por QUIBIM, permitirán optimizar el abordaje terapéutico de múltiples enfermedades.”

Sobre Tech Transfer UPV, f.c.r

Tech Transfer UPV es el primer fondo de transferencia de tecnología impulsado dentro del sistema universitario español que apuesta por proyectos de transferencia de tecnología y emprendimiento generados en la Universitat Politècnica de València para acompañarlos en su salida al mercado.

Tras este primer cierre de inversión, dispone de un patrimonio de 3,9 millones de euros. El Fondo está participado por 28 empresarios y profesionales valencianos y de Castellón de diferentes sectores que, además de invertir, participan como validadores de los proyectos. Entre ellos, el Instituto Valenciano de Finanzas, Caixa Popular Productos Citrosol, Air Nostrum, Grupo IVI, Multiscan, ACAL, Arca Telecom, S2 Grupo, Miarco, La Unión Alcoyana Seguros, Nero Family, Blast of partners, Tecnopaking, Vik Consultoría o Ca&CCA ingeniería.

Sobre AYCE Capital e Imagen en Ensayos Clínicos S.L.

AYCE Capital es una gestora friendly Business Angels de Barcelona que trabaja con proyectos de sectores muy distintos: servicios, healthcare, industrial, retail, cultura, agro-alimentario, TIC…

IEC es inversor en QUIBIM de la mano de AYCE Capital

Sobre Bioinfogate

 

BIOINFOGATE (www.bioinfogate.com) es una spin-off del Prous Institute for Biomedical Research (www.prousresearch.com) , con sede en Barcelona. La empresa ha sido creada con el objetivo de dinamizar la investigación en biomedicina y tecnologías médicas mediante el uso intensivo de metodologías de “Data Science” (big data) y bases de datos especializadas.

Las soluciones desarrolladas por el grupo Prous han sido utilizadas con éxito, durante los últimos 50 años, por científicos de todo el mundo en el descubrimiento de nuevos fármacos. Primero desde Prous Science (adquirida por Thomson Reuters en 2007) empresa líder mundial en el desarrollo de bases de datos (Integrity) y publicaciones de química médica (Drug of the Future) y posteriormente desde el Prous Institute for Biomedical Research mediante el desarrollo de sistemas expertos en predicción de seguridad y toxicidad de fármacos (Symmetry) y la invención de nuevas moléculas para el tratamiento de enfermedades neurodegenerativas, cáncer y diabetes.

Los productos del grupo Prous se utilizan diariamente en todas las  organizaciones relacionadas con las ciencias de la salud incluyendo industrias farmacéuticas y de biotecnología, centros de investigación públicas y privados y agencias reguladoras como la U.S. Food and Drug Adminstration (FDA).

Complementariamente a los desarrollos propios, Bioinfogate invierte en proyectos emergentes que se alinean con nuestro negocio principal en ciencias de la vida y análisis de datos.

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QUIBIM closes a seed funding round of €550,000

The funding will allow the company to improve the platform for medical image analysis and work in marketing and sales strategy

 

Valencia, 27 December 2016. QUIBIM SL is a biotechnology company dedicated to advanced medical image analysis that has announced the closing of its first round of funding worth 550,000 euros shared by Tech Transfer UPV, AYCE Capital, and Bioinfogate, besides the own promoters of the company.

It is the first company in Spain to close an investment round with a technology transfer fund associated with a Public University: TechTransfer UPV, whose purpose is the creation and consolidation of companies with high potential for growth, from the research field. This round of investment will enable the company to accelerate the development and commercialization of the product to continue to grow as a leading company in the management and processing of medical images for hospitals and the pharmaceutical industry, thus promoting its national consolidation and international expansion.

Based in Valencia (SPAIN), the company, which is Spin-Off of the Institute of Health Research La Fe, was founded in 2012 and promoted by Angel Alberich-Bayarri and Dr. Luis Martí Bonmatí after a long history of research and development. Ángel Alberich-Bayarri is PhD in Biomedical Engineering from the Polytechnic University of Valencia and is the CEO of QUIBIM. Luis Martí-Bonmatí is an international Key Opinion Leader in Radiology and is the Director of the Clinical Area of ​​Medical Image of the Hospital Universitario y Politécnico La Fe in Valencia.

The business model of QUIBIM (Quantitative Imaging Biomarkers in Medicine) is based on the extraction of quantitative information of medical images in radiology and nuclear medicine through original and advanced computer processing techniques. For Alberich-Bayarri, QUIBIM aims to: “improve the diagnostic processes of diseases with high incidence and adequately evaluate the changes that produce the pharmacological treatments in the organism, to contribute to much more accurate and early diagnoses, complementing in a quantitative and measurable way the qualitative valuation that is performed from the eye of the radiologist in today Medicine”.

QUIBIM was one of the start-ups valencianas selected in the 3rd edition of the acceleration program, promoted by the President of Mercadona, Juan Roig. The program allowed to boost the company with training and mentoring, as well as with a funding of approximately € 200,000.

The startup has developed a platform for medical image analysis in the cloud, which can be installed in private versions for hospitals and pharmaceutical companies to develop clinical trials. By using X-ray images, Ecography, CT, MRI or PET scans, QUIBIM is able to apply advanced analysis algorithms including GPU-based (graphics processing units) processing, or Big Data and Machine Learning methodologies. The QUIBIM software allows to provide more information in the diagnoses and to be able to evaluate in an early way the response to the pharmacological treatments.

The company markets different analytical models for hospitals, pharmaceutical companies and radiologists. For 2017 maintains a sales budget of 500,000 € of which to date has already committed 30%.

According to Angel Alberich-Bayarri: “We are very satisfied with this funding round because it is a great boost for us, the financing will allow us to improve our analysis platform and its commercialization. In addition, investors do not only contribute capital, but also their experience in the biotechnology sector, which is of special relevance to us in this phase of growth”

Pedro de Álava, director of the Tech Transfer UPV Fund, stressed that “the medical images are revolutionizing medicine by providing personalized, accurate and predictive solutions to the behavior of diseases. And the QUIBIM project brings together talent, technical discipline and scalability, which generates a wide value for hospitals, pharmaceutical companies and patients.”

Dr. José Mateos, a specialist in image diagnosis and medical director of Imagen Ensayos Clínicos SL (IEC), a leading company in image management in clinical trials with more than 10 years of experience, adding value to the studies promoted by the main pharmaceutical laboratories and CROs at the international level, stated “During the last 3 years we are growing and consolidating our position at local and national level. The current investment of our company in Quibim and the synergies already established a few months ago between both companies will place us as indispensable references in clinical trials at national and international level.”

Dr Jose Prous, Executive Director of BioInfoGate and co-founder of the Prous Institute for Biomedical Research, emphasized: “Imaging biomarkers are a key element in optimizing the discovery, development and clinical application of more effective and safe drugs. In the new era of precision medicine, the innovative analytical methods developed by QUIBIM will allow optimizing the therapeutic approach to multiple diseases. “

About Tech Transfer UPV, fcr

Tech Transfer UPV is the first transfer fund of technology promoted within the Spanish university system that bets on projects of technology transfer and entrepreneurship generated at the Universitat Politècnica de València to accompany them on their way out to the market.

After this first investment closure, it has a net worth of 3.9 million euros. The Fund is represented by 28 Valencian and Castellón businessmen and professionals from different sectors who, in addition to investing, participate as validators of the projects. Among them, the Valencian Institute of Finance, Caixa Popular, Productos Citrosol, Air Nostrum, Grupo IVI, Multiscan, ACAL, Arca Telecom, S2 Group, Miarco, La Unión Alcoyana Seguros, Nero Family, Blast of partners, Tecnopaking, Vik Consulting or Ca & CCA engineering.

About AYCE Capital e Imagen en Ensayos Clínicos SL

AYCE Capital is a friendly business angels manager from Barcelona who works with projects from very different sectors: services, healthcare, industrial, retail, culture, agri-food, ICT …

IEC is an investor in QUIBIM by the hand of AYCE Capital

About Bioinfogate

BIOINFOGATE ( www.bioinfogate.com ) is a spin-off of Prous Institute for Biomedical Research ( www.prousresearch.com ), based in Barcelona. The company has been created with the aim of boosting research in biomedicine and medical technologies through the intensive use of “Big Data” methodologies and specialized databases.

The solutions developed by the Prous group have been used successfully over the last 50 years by scientists worldwide in the discovery of new drugs. First from Prous Science (acquired by Thomson Reuters in 2007), the world’s leading developer of Integrity and Drug of the Future publications, and later from the Prous Institute for Biomedical Research through the development of systems Experts in safety prediction and drug toxicity (Symmetry) and the invention of new molecules for the treatment of neurodegenerative diseases, cancer and diabetes.

The products of the Prous group are used daily in all organizations related to the health sciences including biotechnology and pharmaceutical industries, public and private research centers and regulatory agencies such as the US Food and Drug Adminstration (FDA).

In addition to our own developments, Bioinfogate invests in emerging projects that are aligned with our core business in life sciences and data analysis.

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Assessing the bone quality of your patients is just a few clicks away

Quibim is proud to introduce its new advanced methodolgy to assess bone quality and fracture risk: QTS (Quality of Trabecular Structure). The need for a reliable approach for the characterization of trabecular microarchitecture is evident, as conditions and diseases related to trabecular bone quality and structure are becoming a focal point of precision medicine. Millions of dollars are spent in bone fracture care and prevention, which in many cases represent a grave danger to the patient health. In this scenario, can we rely upon available methods to predict bone fractures? Regrettably, the answer is no. Or so it was. Before we introduce QTS in detail, let’s first review some of the available methods to evaluate fracture risk.

DEXA Bone Mineral Density (BMD) limitations as a fracture predictor are widely known. However, despite its glaring shortcomings it’s still considered as the gold standard in clinical practice. The WHO developed the FRAX tool hoping to improve the low ratio of success of BMD as a predictor, and, while it improves sensibility and specificity assessing fracture risk, it’s still not satisfactory enough for it to be used as a stand-alone predictor in clinical practice or clinical trials.

In an attempt to fill this void in the search of a reliable predictor, new imaging biomarkers that guarantee to provide the needed sensibility and specificity have been developed. Trabecular Bone Score (TBS®) by Medimaps is a fracture risk predictor using DEXA as a source. TBS® performs a gray level analysis (textures) on the DEXA images to determine bone integrity. But, is DEXA adequate for this task? Unlike regular XR, in which it’s possible to assess the trabecular structure, DEXA’s low radiation is not enough for trabeculae differentiation. In addition, DEXA (like XR) represents a 3D structure as a projection onto a plane, losing spatial information.

Other medical imaging modalities are much more adequate for bone analysis and the subsequent fracture risk evaluation. Thanks to advanced computing models, Quibim has developed a new imaging biomarker that uses either magnetic resonance (MR), computerized tomography (CT) or X-ray imaging for a detailed characterization of the trabecular structure. QTS (Quality of Trabecular Structure) by Quibim introduces several advantages over other analysis methods:

  • Real extraction of the trabecular bone microarchitecture: bone volume, trabecular thickness, trabecular separation…
  • Information of the complexity of the structure: fractal analysis
  • 3D spatial information, not only in plane (only CT and MR)
  • 3D reconstruction of the trabecular bone (only CT and MR)
  • Optional mechanical analysis (only CT and MR, with QTS+)
  • QTS Score comprises all this information in a single score for a rapid and accurate characterization of the bone structure.

This groundbreaking analysis method is already available at our cloud web platform: Quibim Precision. Below we detail how to analyze your study in a few simple steps.

Quibim Precision allows the upload of studies in Dicom format. The upload process is easy, intuitive and 100% secure, guaranteeing the patient confidentiality thanks to Quibim’s anonymization and encryption system. The whole process is performed without the need of installing any additional software. To start, click on the green “Upload Study” button to the right of the website.

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The platform will then ask for Dicom studies selection. With Google Chrome, we can drag and drop the study folder directly to the dotted box. With any other browser, we need to select the Dicom files to be uploaded.

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Once the Dicom folders have been selected, Quibim Precision allows the pre-visualization of the study to choose which sequences we wish to upload. In this case, we need a CT, an X-ray or a 3D T1 MR.

After the selection, the files will be anonymized and encrypted. Quibim Precision will ask for an encryption password before the upload process starts. The user needs to preserve this password, as it’s needed for patient traceability.

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After the upload process is completed, we click on the “Analyze Study” button of the study we want to evaluate.

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This will take us to the detailed view of the study, where we can perform all actions related to it. First of all, we will choose among all the available sequences the one to be analyzed and its Quibim standard name. In this case, the name of the sequence is “Linear Attenuation [1/cm] (3035)”, which corresponds to the standard name “High Resolution CT”.

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Next, we open the embedded Dicom viewer by clicking on “View”. Thanks to this viewer we can draw the ROI that will be used for the analysis. The viewer allows drawing 3D ROIs, first drawing a 2D rectangular ROI, and then selecting the slices on which it should be replicated. Clicking on “Apply” and “Save and go back” will store the ROI and it will be used for the analysis.

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Finally, we should choose which analysis method we’ll use among all the available apps in Quibim Precision. In this case we’ll click on the “Start Analysis” button of the “3D Bone microarchitecture – QTS Score” app. The analysis process will then start, and the user doesn’t need to perform any other action than checking the results.

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The results of the analysis are available on the view of the study. Once the analysis is completed we can check them by clicking on the “View Study” button on the “Processed Biomarkers” section.

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We can examine the 3D reconstruction images and the numeric results of the extracted imaging biomarkers on the results view. Furthermore, we can download them and the structured report in pdf format, which includes all the generated data in a compact, easy to read way.

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All the benefits of QTS are just a few clicks away. Create an account on Quibim Precision and start offering a real added value with your imaging studies.

Try us for free!

Our experience at BIO 2016 and USA tour

We were delighted to be present at past BIO conference in San Francisco (Moscone Center), from 6th to 9th of June, with a booth in the Spanish pavillion. Our presence was due to the incorporation of QUIBIM in the ICEX next program, the Spanish program that assists SME’s in their internationalization.

I can now confirm that the meeting covered my expectations and I agree with the definition in their website: The BIO International Convention (BIO) attracts over 15,000 biotechnology and pharma leaders who come together for one week of intensive networking to discover new opportunities and promising partnerships. This event covers a wide spectrum of life science and application areas including drug discovery, biomanufacturing, genomics, biofuels, nanotechnology and cell therapy.

QUIBIM stand at BIO convention in Spain Pavillion and its CEO, Angel Alberich-BayarriQUIBIM stand at BIO convention in Spain Pavillion and its CEO, Angel Alberich-Bayarri

The attendees were also variate:

  • One-third of BIO attendees come from outside the U.S.
  • 2,500+ CEO’s from leading biotech companies
  • More than 70% of attendees are either Managers, Directors, C-Level or Executive Management.
  • All company sizes: 33% of attendees are from companies with more than 500 employees and 40% are from companies with fewer than 50 employees.

Our first event in the congress was the session “Spain Kicks off 2016 BIO International Convention” in a charming venue: The Ferry Building. A session were we were able to learn from leading experts on how to select the appropriate path, develop and execute our strategy successfully, as well as best practices and what we need to understand in any approach. High level executives from TTS Global Initiative, Breakout Labs, CytomX, GeronIRB Barcelona, pH PharmaRoche, Stanford University and the Thiel Foundation participated in the panel.

In the BIO convention, we had a total of 23 one-to-one partnering meetings organised. The meetings were very well organised and distributed and having the possibility of discussing 30 minutes with potential customers, providers or investors to explore further ways of collaboration justifies our presence in the congress. New business opportunities that are now being executed arose.

After BIO convention, we decided to spend a pair of days at Case Western Reserve Medical Center in Cleveland, visiting Dr. Pablo Ros, member of our advisory board and Chairman at the Department of Radiology in UH Case Medical Center. The purpose of the visit was to discover the biomedical engineering department and the projects that are being performed. Among the short meetings I shared with senior reserchers, I must highlight the meeting with Dr. Mark Griswold, the promoter of the MRI fingerprinting technique.

In summary, we will probably repeat our attendance at BIO conference due to the success of networking.

Metrology for imaging biomarkers

Will metrology labs take charge of Imaging Biomarkers certification?

As the reader might know, Imaging Biomarkers are parameters obtained objectively from medical images, which represent and quantify a tissue property (structural, functional or biological) extracted after applying computational models to images of specific medical imaging modalities like computed tomography (CT), magnetic resonance imaging (MR), conventional radiography (CR) and so on.

One of the main challenges for Imaging Biomarkers integration in clinics and in clinical trials is the need for standardized image acquisition protocols  and  pipelines for the analysis of imaging biomarkers, including the processing, analysis and reporting of the results.

As specified in this publication from QIBA (Quantitative Imaging Biomarkers Alliance) team: “Most Biomarkers require a computation algorithm, which may be simple or highly complex. While there is a rich history of the development of biomarker techniques, there has been comparatively little attention paid to the evaluation and comparison of the algorithms used to produce the biomarker results. Estimation errors in algorithm output can arise from several sources during both image formation and the algorithmic estimation of the biomarker. These errors combine (additively or non-additively) with the inherent underlying biological variation of the biomarker. Studies are thus needed to evaluate the imaging biomarker assay with respect to bias, and precision. A recurring issue is the lack of reported estimation errors associated with the output of the biomarker. Another challenge is the inappropriate choice of biomarker metrics and/or parametric statistics. For example, tumor volume doubling time is sometimes used in studies as a biomarker. However, it may not be appropriate to use the mean as the parametric statistic for an inverted, non-normal, measurement space. Since a zero growth rate corresponds to a doubling time of infinity, it is easy to see that parametric statistics based on tumor volume doubling time (e.g. mean doubling time) may be skewed and/or not properly representative of the population. In addition, there may be discordance between what might be a superior metric statistically and what is clinically acceptable or considered clinically relevant. For example, a more precise measuring method will typically better predict the medical condition, but only until the measurement precision exceeds normal biological variation; further improvement in precision will offer no significant improvement in efficacy. Finally, when potentially improved algorithms are developed, data from previous studies are often not in a form that allows new algorithms to be tested against the original data.

A metrology-by-design strategy for imaging biomarkers design and implementation has still not been conceived, however, there is a clear need to fill this gap, since medical images are suffering a paradigm shift from being qualitatively interpreted by radiologists to become a powerful measurement instrument, that can provide a non-negligible and highly relevant information in many pathological processes.

Following the experience of our group and QUIBIM, with a model of success for the integration of quantitative image analysis in clinics, we published in 2012 our methodology for the integration of imaging biomarkers in clinics that was later supported by the European Society of Radiology in 2013, through the publication “ESR position on the stepwise development of imaging biomarkers” in Insights into Imaging. This paper was the former work of the ESR supporting the creation of the European Imaging Biomarkers Alliance (EIBALL) in 2015.

Now, several actions should be undertaken to allow for the implementation of biomarkers in clinical use and the evaluation of therapy response:

  • To determine the most significant sources of uncertainty for imaging biomarkers.
  • To establish a standard methodology for definition of the method and the protocol for image acquisition (Signal-to-noise ratio, contrast-to-noise ratio) for traceable measurements.
  • To harmonise calibration routes and methods for imaging biomarkers in European metrology institutes. This objective includes knowledge exchange and transfer and comparison measurements.
  • To provide metrology input and pre-normative research to the evolution of International (ISO, EN) standards concerning imaging biomarkers.
  • To engage with image device manufacturers to facilitate the take up of the technology and measurement systems developed, to support the development of new, innovative biomarkers, thereby enhancing the competitiveness of EU industry.

While researchers are dealing with these issues, there are specific entities that have been always in charge of supervision, validation and certification of measures: the National Metrology Institutes. The umbrella covering all National Metrology Institutes in Europe is EURAMET. Therefore, we should start to think in incorporating this metrology-by-design strategy in the process of creation, implementation and validation of imaging biomarkers. In QUIBIM we have already started this strategy, following QIBA recommendations and implementing new algorithms in a modular basis, identifying the sources of uncertainty in all the measurements that we perform with imaging biomarkers.

by Angel Alberich-Bayarri (@aalberich).

CEO & Founder of QUIBIM

Summer School on Oncology Imaging Biomarkers

Oncology Imaging Biomarkers

Imaging biomarkers define objective quantitative characteristics extracted from medical images that are related to normal biological processes, clinical endpoints in diseases, or the response to treatment.

In order to develop an imaging biomarker, it is necessary to carry out a series of steps to validate its relation with the reality studied and to check its clinical and technical validity. As we published in 2012 (https://www.ncbi.nlm.nih.gov/pubmed/21733539) and later adopted by the European Society of Radiology (ESR) (https://www.ncbi.nlm.nih.gov/pubmed/23397519), these steps allow for an efficient way of adoption of imaging biomarkers either in clinical routine or clinical trials. This process includes defining tests for the concepts and mechanisms; obtaining standardized and optimized anatomic, functional, and molecular images; analyzing the data with computer models; displaying data appropriately; obtaining the appropriate statistic measures; and conducting tests on the principle, efficacy, and effectiveness. Although important advances are being developed nowadays in the field of image processing algorithms for the extraction of quantitative information from images, the integration of this information in clinical routine requires the existence of validated biomarkers, according to specific protocols for their analysis, in terms of the processing algorithms needed, the models applied and the way the results are generated.

All these topics will be addressed in the upcoming Summer School that we are organising from the 25th to 29th of next July in Valencia under the umbrella of the European Institute for Biomedical Imaging Research (EIBIR). In case you are interested please register to the course and you will enjoy an unforgettable week in Valencia.

Registrations at: http://www.eibir.org/scientific-activities/joint-initiatives/biomedical-image-analysis-platform/eibir-summer-school/2016-2/

 

EIBIR Summer School on Oncology Imaging Biomarkers Poster

EIBIR Summer School on Oncology Imaging Biomarkers

 

Have you seen the QUIBIM video teaser?

QUIBIM has launched a new video describing the advanced Imaging Biomarkers analysis process performed at our company. From the assistance and consultancy in medical images acquisition (MR, CT, PET, US, X-Ray, …), through image processing and quantification, to the final structured report generation containing the most relevant information for the clinician, researcher or clinical trials CRO companies.

Welcome to our new site

QUIBIM team would like to thank you for visiting us and we welcome you to our new website, that has been completely re-designed, including the access to our new imaging biomarkers analysis platform QUIBIM Precision® that you can find at http://precision.quibim.com or at our landing page www.quibim.com