Predicting response to radiotherapy of intracranial metastases with hyperpolarized [Formula: see text]C MRI.
BACKGROUND: Stereotactic radiosurgery (SRS) is used to manage intracranial metastases in a significant fraction of patients. Local progression after SRS can often only be detected with increased volume of enhancement on serial MRI scans which may lag true progression by weeks or months. METHODS: Patients with intracranial metastases (N = 11) were scanned using hyperpolarized [Formula: see text]C MRI prior to treatment with stereotactic radiosurgery (SRS). The status of each lesion was then recorded at six months post-treatment follow-up (or at the time of death). RESULTS: The positive predictive value of [Formula: see text]C-lactate signal, measured pre-treatment, for prediction of progression of intracranial metastases at six months post-treatment with SRS was 0.8 [Formula: see text], and the AUC from an ROC analysis was 0.77 [Formula: see text]. The distribution of [Formula: see text]C-lactate z-scores was different for intracranial metastases from different primary cancer types (F = 2.46, [Formula: see text]). CONCLUSIONS: Hyperpolarized [Formula: see text]C imaging has potential as a method for improving outcomes for patients with intracranial metastases, by identifying patients at high risk of treatment failure with SRS and considering other therapeutic options such as surgery.
Duke Scholars
Altmetric Attention Stats
Dimensions Citation Stats
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Retrospective Studies
- Radiosurgery
- Oncology & Carcinogenesis
- Magnetic Resonance Imaging
- Lactates
- Humans
- Brain Neoplasms
- 3211 Oncology and carcinogenesis
- 3209 Neurosciences
- 1112 Oncology and Carcinogenesis
Citation
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Retrospective Studies
- Radiosurgery
- Oncology & Carcinogenesis
- Magnetic Resonance Imaging
- Lactates
- Humans
- Brain Neoplasms
- 3211 Oncology and carcinogenesis
- 3209 Neurosciences
- 1112 Oncology and Carcinogenesis