# A Nomogram to Predict Seizure Outcomes after Resective Epilepsy Surgery

> **NIH NIH R01** · CLEVELAND CLINIC LERNER COM-CWRU · 2021 · $728,061

## Abstract

Project Summary:
A patient currently considering epilepsy surgery receives counseling about his/her expected chances of
seizure-freedom based on generic overall rates of success in large surgical cohorts. Answering the question of
how “a patient like me” will do after surgery essentially depends on the physician's interpretation of complex
pre-surgical testing: in fact, there is no objective, reproducible, and validated method to comprehensively
combine the results of the pre-surgical work-up into an individualized outcome prediction. This uncertainty
delays the initiation of surgical work-ups in patients who may benefit from epilepsy surgery, and may lead to
redundant, risky, and futile testing in others who may actually not be good surgical candidates. This is a multi-
center project building on an already developed statistical model, adding information from the fundamental
components of any pre-surgical evaluation, including EEG, brain imaging, and clinical characteristics to
develop an enhanced online tool called the “Epilepsy Surgery Nomogram” (ESN) allowing a tailored outcome
prediction. Using the ESN, the physician treating a patient's epilepsy will be better able to assess the chances
of seizure-freedom following epilepsy surgery, and will have a tool to assist decision-making by providing
personalized and customized counseling. The goal will be to improve the care of patients with epilepsy by:1)-
identifying surgical candidates earlier, and 2)- identifying complex cases needing a dedicated comprehensive
epilepsy center more efficiently.

## Key facts

- **NIH application ID:** 10133743
- **Project number:** 5R01NS097719-05
- **Recipient organization:** CLEVELAND CLINIC LERNER COM-CWRU
- **Principal Investigator:** Lara Jehi
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $728,061
- **Award type:** 5
- **Project period:** 2017-05-15 → 2023-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10133743

## Citation

> US National Institutes of Health, RePORTER application 10133743, A Nomogram to Predict Seizure Outcomes after Resective Epilepsy Surgery (5R01NS097719-05). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10133743. Licensed CC0.

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