Temozolomide (TMZ) and BCNU have demonstrated anti-glioma synergism in preclinical models. We report final data from a prospective, multi-institutional study of BCNU wafers and early TMZ followed by radiation therapy with TMZ in patients with newly diagnosed malignant glioma. 65 patients were consented in 4 institutions, and 46 patients (43 GBM, 3 AA) were eligible for analysis. After resection and BCNU wafer placement, TMZ began on day four postoperatively. Radiation and TMZ (RT/TMZ) were then administered, followed by monthly TMZ at 200 mg/m2 for the first 26 patients, which was reduced to 150 mg/m2 for the remaining 20 patients. Non-hematologic toxicities were minimal. Nine of 27 patients (33 %) who received 200 mg/m2 TMZ, but only 1 of 20 (5 %) who received 150 mg/m2, experienced grade 3/4 thrombocytopenia. Median progression free survival (PFS) and overall survival (OS) period was 8.5 and 18 months, respectively. The 1-year OS rate was 76 %, which is a significant improvement compared with the historical control 1-year OS rate of 59 % (p = 0.023). However, there was no difference in 1-year OS compared with standard RT/TMZ (p = 0.12) or BCNU wafer followed by RT/TMZ (p = 0.87) in post hoc analyses. Early post-operative TMZ can be safely administered with BCNU wafers following resection of malignant glioma at the 150 mg/m2 dose level. Although there was an OS benefit compared to historical control, there was no indication of benefit for BCNU wafers and early TMZ in addition to standard RT/TMZ or early TMZ in addition to regimens of BCNU wafers followed by RT/TMZ.
A deep learning model (LCP CNN) for the stratification of indeterminate pulmonary nodules (IPNs) demonstrated better discrimination than commonly used clinical prediction models. However, the LCP CNN score is based on a single timepoint that ignores longitudinal information when prior imaging studies are available. Clinically, IPNs are often followed over time and temporal trends in nodule size or morphology inform management. In this study we investigated whether the change in LCP CNN scores over time was different between benign and malignant nodules. This study used a prospective-specimen collection, retrospective-blinded-evaluation (PRoBE) design. Subjects with incidentally or screening detected IPNs 6–30 mm in diameter with at least 3 consecutive CT scans prior to diagnosis (slice thickness ≤ 1.5 mm) with the same nodule present were included. Disease outcome was adjudicated by biopsy-proven malignancy, biopsy-proven benign disease and absence of growth on at least 2-year imaging follow-up. Lung nodules were analyzed using the Optellum LCP CNN model. Investigators performing image analysis were blinded to all clinical data. The LCP CNN score was determined for 48 benign and 32 malignant nodules. There was no significant difference in the initial LCP CNN score between benign and malignant nodules. Overall, the LCP CNN scores of benign nodules remained relatively stable over time while that of malignant nodules continued to increase over time. The difference in these two trends was statistically significant. We also developed a joint model that incorporates longitudinal LCP CNN scores to predict future probability of cancer. Malignant and benign nodules appear to have distinctive trends in LCP CNN score over time. This suggests that longitudinal modeling may improve radiomic prediction of lung cancer over current models. Additional studies are needed to validate these early findings.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.