Surgical Treatment of Arachnoid Cysts in a Patient With Psychosis – A Case Report and Literature Review
Bibliographic record
Abstract
Arachnoid cysts are relatively rare intracranial disorders. They frequently give no symptoms and do not require neurosurgical treatment [7, 8]. For some particularly large cysts, neurological symptoms may occur, which may indicate the need for surgical intervention. This paper describes the case of a 32-year-old man with an extensive arachnoid cyst of the middle cranial fossa, suffering from paranoid schizophrenia with positive symptoms. The patient underwent surgical treatment. By way of peritoneal craniotomy, the walls of the cyst were removed along with its connection to the cisterns of the subarachnoid space and of the lateral chamber. A follow-up CT scan performed on the fourth day after the procedure showed a minimal reduction in the size of the cyst. The patient after the surgery presented no positive symptoms; however dyskinesia occurred in the form of a hypokinetic - hypertonic syndrome, a slight and transient paresis of the left upper limb, and a depressed mood and decreased drive presenting as an apathic-abulic syndrome. In the course of further psychiatric treatment and rehabilitation, these symptoms gradually subsided. During the publication of this work, the patient is undergoing continued psychiatric treatment. Until the publication of this work, no further psychotic symptoms have been observed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".