Pronta la Google Maps dei tumori
Per sviluppare questa sorta di Google Maps dell'oncologia, i ricercatori guidati dal radiologo Arvind Pathak hanno realizzato una serie di immagini 3D ad altissima risoluzione di tumori umani impiantati in topi di laboratorio, in modo da caratterizzare il volume delle masse tumorali e la struttura delle loro reti di vasi sanguigni.
Queste immagini sono state quindi confrontate con studi scientifici contenenti dati relativi al flusso e alla pressione del sangue all'interno di simili vasi sanguigni.
Tutte queste informazioni sono state poi tradotte in una serie di complesse formule matematiche capaci di prevedere l'evoluzione nel tempo dei vasi che nutrono i tumori. Per visualizzare i risultati, il movimento del sangue è stato rappresentato attraverso un codice di colori su una mappa simile a quella del traffico veicolare su strada. Proprio come l'app dei nostri smartphone, anche la 'Google Maps' dei tumori è interattiva e permette all'utente di modificare vari parametri (come il diametro dei vasi sanguigni) per osservare l'effetto sul flusso del sangue e il trasporto dei farmaci al tumore. A breve sarà resa gratuitamente accessibile a tutti i ricercatori che intendano utilizzarla a scopo scientifico.
Here comes the 'Google Maps' of tumors: it is a new computer model that shows their evolution in 3D, representing blood vessels as roads and the flow of blood as if it were traffic in real time. The system, described in the journal Scientific Reports by researchers at Johns Hopkins Medicine in Baltimore, can be applied for now only to test-tube studies, but in the future it can also be adapted to humans to predict the evolution of the disease in individual patients and the their response to therapies.
To develop this sort of Google Maps of oncology, researchers led by radiologist Arvind Pathak produced a series of very high resolution 3D images of human tumors implanted in laboratory mice, in order to characterize the volume of tumor masses and the structure of the their blood vessel networks. These images were then compared to scientific studies containing data on blood flow and pressure within similar blood vessels.
All this information was then translated into a series of complex mathematical formulas capable of predicting the evolution over time of the vessels that nourish tumors. To visualize the results, the blood movement was represented by a color code on a map similar to that of road vehicle traffic. Just like the app for our smartphones, the 'Google Maps' of tumors is also interactive and allows the user to modify various parameters (such as the diameter of blood vessels) to observe the effect on blood flow and drug transport to the tumor. Soon it will be made available free to all researchers who intend to use it for scientific purposes.
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