- BACKGROUND -
Cancer is a disease that is characterized by having an accelerated and aggressive growth for patients, since it is not only a local disease, but can also proliferate over distances, therefore causing new tumour areas in other parts of the body.
Cancer remains one of the world’s leading causes of morbidity and mortality (according to the World Health Organization, cancer is the second leading cause of death) and nearly one in six deaths worldwide is due to this disease. In addition, it is estimated that the number of cases will increase over the next decades to 28 million new cases by 2040.
The real problem lies in the complexity of cancer as a disease. Like diseases by microorganisms, there are hundreds of types of cancers, and each one is generated and acts differently in each person. 28% – 44% of diagnoses are usually late and incorrect, and even 1 in 4 patients receive initial treatment for another pathology.
Cancer can be understood as the formation of malignant tumours, which are able to spread into distant organs to form metastases.
Tumours or “neoplasms” are anormal proliferations of the “tissues” that start in an apparently spontaneous way of progressive growth, without being able to reach a limit, is not a body of law but rather an independent body. It proliferates without control and at a higher rate than is normally the case in the body.
There are two types of tumours, benign and malignant. Benign tumours are not invasive, have microscopic characteristics that are not serious, the tumour is well located, that is, they are usually encapsulated and as the cells that make up it grow, they do not migrate to other tissues. These can be removed by surgical removal since it has not resulted in secondary implants.
Malignant tumours, on the other hand, can infiltrate adjacent structures, destroying them or spreading to distant sites leading to secondary implants (metastases) and in consequence causing almost certain death.
- CURRENT NEEDS AND DEMANDS -
Despite the growing theoretical-experimental work on tumour growth, its understanding remains a challenging task that requires multidisciplinary elements from various areas. It is therefore necessary to use a different form of tumour growth study and analysis from those proposed so far.
So, the current challenges oncologists and surgeons face in anticipating and preparing accurately for tumour treatments and surgeries are important. For patients, the emotional and physical stress of aggressive treatments, which may not always be effective, is a considerable cost. For this reason, oncologists and surgeons are looking for more advanced methods to understand and anticipate the dynamics of tumour growth.
Fluxus es capaz de generar un modelo tridimensional basado en la imagen diagnóstica
Podemos observar cómo evolucionaría el tumor y cómo afectaría a las zonas circundantes
La visual se consigue gracias a la imagen médica (TAC y RM) aplicada en oncología
Fluxus es capaz de generar un modelo tridimensional basado en la imagen diagnóstica
Podemos observar cómo evolucionaría el tumor y cómo afectaría a las zonas circundantes
La visual se consigue gracias a la imagen médica (TAC y RM) aplicada en oncología
Fluxus is aligned towards personalized medicine and the integration of technology into healthcare solutions. It can provide critical visualizations in real time and improve tumour classification, simulation and prediction.
This way, it meets the direct needs of health professionals by having more accurate and efficient diagnostic tools and treatment planning.
