RESUMEN
PURPOSE: Early recurrence of glioblastoma after standard treatment makes patient care challenging. This study aimed to assess preoperative magnetic resonance imaging (MRI) radiomics for predicting early recurrence of glioblastoma. PATIENTS AND METHODS: A total of 122 patients (training cohort: n = 86; validation cohort: n = 36) with pathologically confirmed glioblastoma were included in this retrospective study. Preoperative brain MRI images were analyzed for both radiomics and the Visually Accessible Rembrandt Image (VASARI) features of glioblastoma. Models incorporating MRI radiomics, the VASARI parameters, and clinical variables were developed and presented in a nomogram. Performance was assessed based on calibration, discrimination, and clinical usefulness. RESULTS: The nomogram consisting of the radiomic signatures, the VASARI parameters, and blood urea nitrogen (BUN) values showed good discrimination between the patients with early recurrence and those with later recurrence, with an area under the curve of 0.85 (95% CI, 0.77-0.94) in the training cohort and 0.84 [95% CI, 0.71-0.97] in the validation cohort. Decision curve analysis demonstrated favorable clinical application of the nomogram. CONCLUSION: This study showed the potential usefulness of preoperative brain MRI radiomics in predicting the early recurrence of glioblastoma, which should be helpful in personalized management of glioblastoma.
RESUMEN
Intracranial primary melanoma is a rare and highly differentiated borderline or malignant tumor. The prognosis of tumors varies significantly depending on their location and resection range. Therefore, accurate diagnosis before surgery together with complete resection of the tumor as much as possible and adjuvant chemoradiotherapy is the key to improve the prognosis of patients. Imaging is important for preoperative diagnosis. The tumor in the patients was dominated by pial meningeal lesions. It was obviously uneven after MRI enhancement, and there was no obvious low T2WI signal. It is not easy to distinguish it from cortical venous infarction with hemorrhage. Moreover, the tumor often shows different imaging manifestations due to the different melanin contents, and it is easy to be misdiagnosed before operation. The final diagnosis depends on pathological and immunohistochemical examination.
