Decision support: low grade glioma survival prognosis

“In adult patients with low grade glioma (LGG), older age, astrocytoma histology, presence of neurologic deficits before surgery, largest tumor diameter, and tumor crossing the midline were important prognostic factors for survival. These factors can be used to identify low-risk and high-risk patients.” – Pignatti et al, 2002

Estimating life expectancy can be useful to optimize treatment for the individual patient. However, manual calculation of scores can be cumbersome. Apps can simplify the math, and help the physician to focus on the communication and treatment.

Here is my implementation of low grade glioma survival estimation for NeuroMind 2.

Input of risk factors for individual patient

Click “Proceed” for the actual survival estimation:

Survival estimation for individual patient

More images are available from the gallery below…

Update: I changed the description “risk factors” in the menu to “parameters”, as “age < 40yr” and “diameter < 6cm” are actually beneficial factors. I just did not want to use “age >= 40 yr” as I do not like the “>=’ combination.

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