Abstract Purpose: In glioma surgery, it is critical to maximize tumor resection without compromising adjacent noncancerous brain tissue. Optical coherence tomography (OCT) is a noninvasive, label-free, real-time, high-resolution imaging modality that has been explored for glioma infiltration detection. Here, we report a novel artificial intelligence (AI)-assisted method for automated, real-time, in situ detection of glioma infiltration at high spatial resolution. Experimental Design: Volumetric OCT datasets were intraoperatively obtained from resected brain tissue specimens of 21 patients with glioma tumors of different stages and labeled as either noncancerous or glioma-infiltrated on the basis of histopathology evaluation of the tissue specimens (gold standard). Labeled OCT images from 12 patients were used as the training dataset to develop the AI-assisted OCT-based method for automated detection of glioma-infiltrated brain tissue. Unlabeled OCT images from the other 9 patients were used as the validation dataset to quantify the method detection performance. Results: Our method achieved excellent levels of sensitivity (∼100%) and specificity (∼85%) for detecting glioma-infiltrated tissue with high spatial resolution (16 μm laterally) and processing speed (∼100,020 OCT A-lines/second). Conclusions: Previous methods for OCT-based detection of glioma-infiltrated brain tissue rely on estimating the tissue optical attenuation coefficient from the OCT signal, which requires sacrificing spatial resolution to increase signal quality, and performing systematic calibration procedures using tissue phantoms. By overcoming these major challenges, our AI-assisted method will enable implementing practical OCT-guided surgical tools for continuous, real-time, and accurate intraoperative detection of glioma-infiltrated brain tissue, facilitating maximal glioma resection and superior surgical outcomes for patients with glioma.
Toxoplasmosis Lymphadenitis Presenting as a Parotid Mass: A Report of 2 Cases
Toxoplasmosis manifesting as a parotid mass is rare; our review of the literature found only 6 previously reported cases. We report 2 new cases. Both patients presented with a small, mobile left parotid mass, and both were successfully treated with a diagnostic superficial parotidectomy. In both cases, the patient had been regularly exposed to cats and had recently eaten undercooked meat. When evaluating a parotid mass, otolaryngologists should be aware of the infectious causes of parotid swelling and lymphadenopathy and consider the possibility of toxoplasmosis when the history and pathologic findings are not suggestive of more common diseases.
Imaging of Hydatid Disease with a Focus on Extrahepatic Involvement