Comparison of diagnostic performance of radiologist- and AI-based assessments of T2-FLAIR mismatch sign and quantitative assessment using synthetic MRI in the differential diagnosis between astrocytoma, IDH-mutant and oligodendroglioma, IDH-mutant and 1p/19q-codeleted.

PURPOSE: This study aimed to compare assessments by radiologists, artificial intelligence (AI), and quantitative measurement using synthetic MRI (SyMRI) for differential diagnosis between astrocytoma, IDH-mutant and oligodendroglioma, and IDH-mutant and 1p/19q-codeleted and to identify the superior method. METHODS: Thirty-three cases (men, 14; women, 19) comprising 19 astrocytomas and 14 oligodendrogliomas were evaluated. Four radiologists independently evaluated the presence of the T2-FLAIR mismatch sign. A 3D convolutional neural network (CNN) model was trained using 50 patients outside the test group (28 astrocytomas and 22 oligodendrogliomas) and transferred to evaluate the T2-FLAIR mismatch lesions in the test group. If the CNN labeled more than 50% of the T2-prolonged lesion area, the result was considered positive. The T1/T2-relaxation times and proton density (PD) derived from SyMRI were measured in both gliomas. Each quantitative parameter (T1, T2, and PD) was compared between gliomas using the Mann-Whitney U-test. Receiver-operating characteristic analysis was used to evaluate the diagnostic performance. RESULTS: The mean sensitivity, specificity, and area under the curve (AUC) of radiologists vs. AI were 76.3% vs. 94.7%; 100% vs. 92.9%; and 0.880 vs. 0.938, respectively. The two types of diffuse gliomas could be differentiated using a cutoff value of 2290/128 ms for a combined 90th percentile of T1 and 10th percentile of T2 relaxation times with 94.4/100% sensitivity/specificity with an AUC of 0.981. CONCLUSION: Compared to the radiologists' assessment using the T2-FLAIR mismatch sign, the AI and the SyMRI assessments increased both sensitivity and objectivity, resulting in improved diagnostic performance in differentiating gliomas.

Treatment Strategy for Tuberculum Sellae Meningiomas Based on a Preoperative Radiological Assessment.

BACKGROUND: Although there are several surgical approaches for the treatment of tuberculum sellae (TS) meningiomas, clear indications for non-large TS meningiomas are still lacking. METHODS: Our case series included 20 patients with TS meningiomas (<3 cm). We classified the tumors into 3 groups based on their radiologic relationship with the optic chiasm: type I, tumor with intact optic chiasm; type II, tumor with superiorly deviated optic chiasm; and type III, tumor with posteriorly deviated optic chiasm. Clinical outcomes, radiologic findings, and surgical approaches for the removal of each tumor type were retrospectively reviewed. RESULTS: Resections using a pterional approach, interhemispheric approach, and an endoscopic endonasal approach were performed in three groups of 6, 7, and 7 patients. The rate of total tumor resection was equivalent across approaches, whereas postoperative visual dysfunction was observed in 1 patient (7.69%) undergoing a transcranial approach. Our evaluation of the sphenoid sinus shape across radiographs revealed that the patterns of bony wall elongation attached to these tumors significantly differed among tumor types, indicating that tumor origin and growth direction might affect the patterns of optic chiasm deviation. In addition, selective elongation of the TS provided a favorable surgical corridor for an endoscopic endonasal approach, especially in type II tumors. These results indicate that this tumor classification influenced surgical approach selection for non-large TS meningiomas. CONCLUSIONS: The aim of surgery is maximal tumor resection without causing visual dysfunction. The classification proposed here may predict surgical risk associated with meningioma resection and further inform the selection of a surgical approach.

Current Trends and Healthcare Resource Usage in the Hospital Treatment of Primary Malignant Brain Tumor in Japan: A National Survey Using the Diagnostic Procedure Combination Database (J-ASPECT Study-Brain Tumor).

We conducted this study to clarify the current trends and healthcare resource usage in the treatment of inpatients with primary malignant brain tumors. The Diagnostic Procedure Combination (DPC) data of all inpatients treated between 2013 and 2014 in the 370 core and branch hospitals enrolled in the Japanese Neurosurgical Society training program were collected. DPC is a discharge abstract and administrative claims database of inpatients. We assessed 6,142 primary, malignant brain tumor patients. Patient information, diagnostic information, treatment procedure, and healthcare resource usage were analyzed. Chemotherapy was the most frequent treatment (27% of cases), followed by surgery (13%) and surgery + chemo-radiotherapy (11%). Temozolomide (TMZ), the most frequently used chemotherapeutic drug, was administered to 1,236 patients. Concomitant TMZ and radiotherapy was administered to 816 patients, and was performed according to the Stupp regimen in many cases. The mean length of hospital stay (LOS) was 16 days, and the mean medical cost was 1,077,690 yen. The average medical cost of TMZ-only treatment was 1,138,620 yen whilst it was 4,424,300 yen in concomitant TMZ patients. The LOS was significantly shorter in high-volume than in low-volume hospitals, and the medical cost was higher in hospitals treating 21-50 patients compared to those treating 1-10 patients. However, the direct medical cost of TMZ treatment was the same across different volume hospitals. This is the first report of current trends and healthcare resource usage in the treatment of primary malignant brain tumor inpatients in the TMZ era in Japan.