Rapid, label-free classification of glioblastoma differentiation status combining confocal Raman spectroscopy and machine learning.

Label-free identification of tumor cells using spectroscopic assays has emerged as a technological innovation with a proven ability for rapid implementation in clinical care. Machine learning facilitates the optimization of processing and interpretation of extensive data, such as various spectroscopy data obtained from surgical samples. The here-described preclinical work investigates the potential of machine learning algorithms combining confocal Raman spectroscopy to distinguish non-differentiated glioblastoma cells and their respective isogenic differentiated phenotype by means of confocal ultra-rapid measurements. For this purpose, we measured and correlated modalities of 1146 intracellular single-point measurements and sustainingly clustered cell components to predict tumor stem cell existence. By further narrowing a few selected peaks, we found indicative evidence that using our computational imaging technology is a powerful approach to detect tumor stem cells in vitro with an accuracy of 91.7% in distinct cell compartments, mainly because of greater lipid content and putative different protein structures. We also demonstrate that the presented technology can overcome intra- and intertumoral cellular heterogeneity of our disease models, verifying the elevated physiological relevance of our applied disease modeling technology despite intracellular noise limitations for future translational evaluation.

Pseudohypoxic brain swelling following cerebrospinal fluid leakage: a case report on rapid identification and multidisciplinary management.

This report delineates the intricate diagnostic journey and therapeutic conundrum presented by a 61-year-old male who exhibited atypical neurological deterioration shortly after lumbar fusion surgery, manifesting clinical and radiological features suggestive of pseudohypoxic encephalopathy, an entity characterized by symptoms mimicking cerebral hypoxia in the absence of a discernible hypoxic insult. Following an initially unremarkable recovery from an elaborate spinal surgery, the patient's postoperative condition was confounded by a perplexing decline in consciousness, unresponsive to conventional therapeutic interventions and devoid of clear etiological indicators on standard neuroimaging. The subsequent diagnostic odyssey unraveled a cerebrospinal fluid leak as the putative reason, positing a nuanced clinical paradigm wherein the cerebrospinal fluid leak engendered a state mimicking pseudohypoxic brain swelling. This report underscores the clinical challenges and emphasizes the need for an astute diagnostic approach in postoperative patients with unexplained neurological symptoms advocating for a comprehensive evaluation to identify underlying cerebrospinal fluid leaks and mitigate potential morbidity.

A rare case of severely elevated septic parameters caused by intercurrent juvenile rheumatoid arthritis despite dual trauma surgery.

Procalcitonin (PCT) and C-reactive protein (CRP) are considered markers used in clinical practice to differentiate bacterial infections from autoimmune origin. Here we evaluate a rare case of a male patient diagnosed with juvenile idiopathic arthritis. The patient presented repeatedly to our department with atraumatic femoral head necrosis, traumatic medial femoral neck fracture and peri-implant femoral fracture. While undergoing repeated surgical interventions including a removal of osteosynthesis material and total endoprosthesis of his right hip including double subtrochanteric osteotomy, the patient developed drastically increasing infection parameters of PCT and CRP. After a completely inconspicuous revision we revealed the untypical genesis of a rheumatic cause. Consequently, we emphasize this etiology to be considered in further decision making for trauma surgery.