Publications by authors named "Cara E Cannella"
Article Synopsis
- Recurrence of meningiomas is hard to predict with current methods, making it important to find noninvasive ways to identify patients at risk of recurrence.
- This study examines DNA methylation in blood and tissue samples from 155 meningioma patients, discovering unique markers and utilizing artificial intelligence to create models for predicting recurrence.
- The findings suggest that using liquid biopsy could provide a reliable and noninvasive method for diagnosis and predicting outcomes in meningioma patients, enhancing personalized treatment strategies.
Background: While patient-reported outcome measures (PROMs) have benefit in cancer clinical trials, real-world applications are lacking. This study describes the method of implementation of a cancer enterprise-wide PROMs platform.
Methods: After establishing a multispecialty stakeholder group within a large integrated health system, domain-specific instruments were selected from the National Institutes of Health's Patient-Reported Outcomes Measurement Information System (PROMIS) instruments (pain interference, fatigue, physical function, and depression) and were administered at varying frequencies throughout each patient's cancer journey.