Rationale: Pituitary apoplexy (PA) is a syndrome caused by acute hemorrhage or infarction of the pituitary gland, generally within a pituitary adenoma. PA following spinal surgery is a very rare complication and may be difficult to diagnose. However, early diagnosis of PA is essential for the timely treatment of pan-hypopituitarism and prevention of severe neurologic complications.
Patient Concerns: A 73-year-old man had a posterior lumbar fusion surgery over a period of 8 hours on prone position. The patient complained of severe intractable headache accompanied by ophthalmalgia and ptosis on right eye 2 days after the surgery.
Diagnosis: Brain magnetic resonance imaging revealed a 1.3 × 2.6 × 2 cm mass in the sellar fossa and suprasellar region and the laboratory tests indicated pan-hypopituitarism.
Interventions: High-dose intravenous steroid therapy and trans-sphenoidal hypophysectomy were performed.
Outcomes: Pathological evaluation of the surgical specimen revealed a pituitary adenoma with total necrosis, indicating that the PA occurred because of tumor infarction. The patient recovered fully after resection of the pituitary adenoma and hormonal therapy.
Lessons: Even though the incidence is low, PA has been related to blood pressure fluctuations or vasospasm during surgery. PA should be considered during differential diagnosis in cases of postoperative severe headache or ophthalmic complications.
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http://dx.doi.org/10.1097/MD.0000000000010676 | DOI Listing |
Sci Rep
January 2025
Institute of Optoelectronics, Military University of Technology, Gen. S. Kaliskiego 2, Warsaw, 00-908, Poland.
Brain tumors present a significant global health challenge, and their early detection and accurate classification are crucial for effective treatment strategies. This study presents a novel approach combining a lightweight parallel depthwise separable convolutional neural network (PDSCNN) and a hybrid ridge regression extreme learning machine (RRELM) for accurately classifying four types of brain tumors (glioma, meningioma, no tumor, and pituitary) based on MRI images. The proposed approach enhances the visibility and clarity of tumor features in MRI images by employing contrast-limited adaptive histogram equalization (CLAHE).
View Article and Find Full Text PDFWorld Neurosurg
January 2025
Department of Neurosurgery, Emory University, Atlanta, Georgia, USA; Department of Otolaryngology, Emory University, Atlanta, Georgia, USA. Electronic address:
Background: Giant pituitary neuroendocrine tumor (GPitNET) are challenging tumors with low rates of gross total resection (GTR) and high morbidity. Previously reported machine-learning (ML) models for prediction of pituitary neuroendocrine tumor extent of resection (EOR) using preoperative imaging included a heterogenous dataset of functional and non-functional pituitary neuroendocrine tumors of various sizes leading to variability in results.
Objective: The aim of this pilot study is to construct a ML model based on the multi-dimensional geometry of tumor to accurately predict the EOR of non-functioning GPitNET.
Medicine (Baltimore)
January 2025
Department of Endocrinology and Metabolism, Affiliated Hospital of Jining Medical University, Jining, Shandong, P.R. China.
Pituitary stalk lesions are uncommon and are typically identified through pituitary magnetic resonance imaging and screening for causes of diabetes insipidus. Recent literature indicates that pituitary stalk lesions primarily manifest as pituitary stalk interruption syndrome and thickening of the pituitary stalk. The etiology of these lesions is complex and can be divided into major categories: congenital disorders, inflammatory or infectious diseases, and tumors.
View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Rationale: Peliosis hepatis (PH) is a rare disease with few clinical reports and complex etiology. However, there have been no reports of hyperprolactinemia (HPRL) leading to PH at present. This paper, through case reports, expands the understanding of the etiology of PH and the pathological damage effect of prolactin (PRL).
View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
Department of Urology, School of Medicine, Ibb University, Ibb, Yemen.
Identifying the prolactin threshold that necessitates pituitary magnetic resonance imaging (MRI) in patients with hyperprolactinemia remains challenging. Therefore, developing standards for serum prolactin level criteria to predict prolactinoma is critical. This study aimed to investigate the correlation between hyperprolactinemia and the presence of pituitary adenoma among Saudi female patients with verified prolactin levels.
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