Developing a Virtual Equity Hub: Adapting the Tumor Board Model for Equity in Cancer Care.

We define cancer equity as all people having as the same opportunity for cancer prevention, treatment, and survivorship care. However, marginalized populations continue to experience avoidable and unjust disparities in cancer care, access to clinical trials, and cancer survival. Racial and ethnic minorities, and individuals with low socioeconomic status, Medicaid insurance, limited health literacy, disabilities, and mental health disorders are more likely to experience delays to cancer diagnosis and less likely to receive guideline-concordant cancer care. These disparities are impacted by the social determinants of health including structural discrimination, racism, poverty, and inequities in access to healthcare and clinical trials. There is an urgent need to develop and adapt evidence-based interventions in collaboration with community partners that have potential to address the social determinants of health and build capacity for cancer care for underserved populations. We established the Virtual Equity Hub by developing a collaborative network connecting a comprehensive cancer center, academic safety net hospital, and community health centers and affiliates. The Virtual Equity Hub utilizes a virtual tumor board, an evidence-based approach that increases access to multi-specialty cancer care and oncology subspecialty expertise. We adapted the tumor board model by engaging person-centered teams of multi-disciplinary specialists across health systems, addressing the social determinants of health, and applying community-based research principles with a focus on populations with poor cancer survival. The virtual tumor board included monthly videoconferences, case discussion, sharing of expertise, and a focus on addressing barriers to care and trial participation. Specifically, we piloted virtual tumor boards for breast oncology, neuro-oncology, and individuals with cancer and serious mental illness. The Virtual Equity Hub demonstrated promise at building capacity for clinicians to care for patients with complex needs and addressing barriers to care. Research is needed to measure the impact, reach, and sustainability of virtual equity models for patients with cancer.

Myo-Inositol Levels Measured with MR Spectroscopy Can Help Predict Failure of Antiangiogenic Treatment in Recurrent Glioblastoma.

Background Patients with recurrent glioblastoma (GBM) are often treated with antiangiogenic agents, such as bevacizumab (BEV). Despite therapeutic promise, conventional MRI methods fail to help determine which patients may not benefit from this treatment. Purpose To use MR spectroscopic imaging (MRSI) with intermediate and short echo time to measure corrected myo-inositol (mI)normalized by contralateral creatine (hereafter, mI/c-Cr) in participants with recurrent GBM treated with BEV and to investigate whether such measurements can help predict survivorship before BEV initiation (baseline) and at 1 day, 4 weeks, and 8 weeks thereafter. Materials and Methods In this prospective longitudinal study (2016-2020), spectroscopic data on mI-a glial marker and osmoregulator within the brain-normalized by contralateral creatine in the intratumoral, contralateral, and peritumoral volumes of patients with recurrent GBM were evaluated. Area under the receiver operating characteristic curve (AUC) was calculated for all volumes at baseline and 1 day, 4 weeks, and 8 weeks after treatment to determine the ability of mI/c-Cr to help predict survivorship. Results Twenty-one participants (median age ± standard deviation, 62 years ± 12; 15 men) were evaluated. Lower mI/c-Cr in the tumor before and during BEV treatment was predictive of poor survivorship, with receiver operating characteristic analyses showing an AUC of 0.75 at baseline, 0.87 at 1 day after treatment, and 1 at 8 weeks after. A similar result was observed in contralateral normal-appearing tissue and the peritumoral volume, with shorter-term survivors having lower levels of mI/c-Cr. In the contralateral volume, a lower ratio of mI to creatine (hereafter, mI/Cr) predicted shorter-term survival at baseline and all other time points. Within the peritumoral volume, lower mI/c-Cr levels were predictive of shorter-term survival at baseline (AUC, 0.80), at 1 day after treatment (AUC, 0.93), and at 4 weeks after treatment (AUC, 0.68). Conclusion Lower levels of myo-inositol normalized by contralateral creatine within intratumoral, contralateral, and peritumoral volumes were predictive of poor survivorship and antiangiogenic treatment failure as early as before bevacizumab treatment. Adapting MR spectroscopic imaging alongside conventional MRI modalities conveys critical information regarding the biologic characteristics of tumors to help better treat individuals with recurrent glioblastoma. Clinical trial registration no. NCT02843230 © RSNA, 2021 Online supplemental material is available for this article.