Unicancer 2020 award, 6th edition
Aim of the project:
Our project is to develop an application that will enable the evaluation, in a multicenter, of radiomic or AI models proposed for the management of lung cancer patients. Multicenter validation of models remains indeed essential to consider their clinical use.
Methods:
This application will actually be a new module added to LIFEx, a software we are developing, to easily describe a radiomic model. As for any module of this application, the libraries used will guarantee that the application remains free and autonomous (i.e. without installation of third party software). Interfacing with the ConSoRe platform, which is a Unicancer's Big Data platform, will later make it possible to combine features extracted from medical images and text included in the medical reports.
Impact:
The main benefit will be to give medical teams a tool to evaluate radiomic and AI models on their own data, using models that have already been published or developed by colleagues. This large-scale, multicenter validation step provides information on the reliability and robustness of the models and is absolutely essential for clinical translation.
Problem to be solved:
If the field of radiomics and AI in radiology and nuclear medicine is growing exponentially, the current major bottleneck is the difficulty to validate the many published models in order to establish their performance and clinical added value. Our project will make this evaluation possible in an independent way, via a public software guaranteeing the transparency of the results.
Target users:
Our project will serve both the current users of LIFEx (10 Unicancer centers already use LIFEx, the 3600 users worldwide, including more than 700 in France) and future LIFEx users, given that we have about 100 new users every month. These are mainly radiologists, nuclear physicians, researchers and engineers involved in medical image analysis.
The Best of the AACR journals,
The most-cited research articles:
Since its availability early 2016, many scientists, medical doctors, engineers and students have chosen LIFEx for their work. Here are a few comments about their experience:
Dr. Lee
Korea
It is a pleasure for me to be on the contributor list.
I used a matlab-based software for texture analysis, which is cumbersome and redundant.
For me, LIFEx is really user-friendly and quite intuitive.
I hope that I can help improve the software in the future
Phd student, wenchao gu
Maebashi, Japan
The other thing i want to tell you is, i have been looking for 1 year to find the best software for doing texture analyzing.(including Mazda, Matlab....ect).
LIFEx is the best software i have ever used.
I am working in China, Shanghai Cancer Center.
Now i'm studying Gunma university in Japan as a Phd student.
Yasser Abdelhafez, MBBCh, MSc, MD
South Egypt Cancer Institute
Postdoctoral Scholar Department of Radiology
University of California Davis Medical Center
Dear LifeX developers,
First, thank you for the great effort you put together in this remarkable software LifeX.
I am interested in texture analysis of PET images and find your software to be the best user-friendly tool for physician.
...
Thank you for your input. I tried it and it works perfectly.
By the way, congratulations to all of you for the recent great paper in Cancer Research.
I appreciate your efforts.
Thank you,
Dr. Constantinos Zamboglou
University Medical Center Freiburg, Radiation Oncology
Germany
Since one month I am using your software and I am quite happy. It is a great opportunity to have such a nice tool as a freeware platform. Thank you very much.
Natalia Dubljevic
Delta, Canada
I tried this, and it works! Thank you so much-- excellent customer support :)
Masao Watanabe
The Department of Diagnostic Radiology, Kobe City Medical Center, General Hospital
I am so sorry that I had so many questions to solve and that my questions took you a lot of time to reply. Your replies were so helpful and meaningful to me. I really appreciate your kind support.
Thank you so much.
Roberto Lantieri
Università degli studi di Padova
close2D works fine and it speed up 4x my work! thank you very much for your exceptional support! Is there a way to support your software with a donation?