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Harvard Medical School, Boston, Massachusetts, USA
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Introduction
It is unclear whether the proportions of remission and the recurrence rates differ between endoscopic transsphenoidal surgery (TS) and microscopic TS in Cushing’s disease (CD); thus, we conducted a systematic review and meta-analysis to evaluate studies of endoscopic TS and microscopic TS.
Methods
We conducted a comprehensive search of PubMed to identify relevant studies. Remission and recurrence were used as outcome measures following surgical treatment of CD.
Results
A total of 24 cohort studies involving 1670 adult patients were included in the comparison. Among these studies, 702 patients across 9 studies underwent endoscopic TS, and 968 patients across 15 studies underwent microscopic TS. Similar baseline characteristics were observed in both groups. There was no significant difference in remission between the two groups: 79.7% (95% CI: 73.1–85.0%) in the endoscopic group and 76.9% (95% CI: 71.3–81.6%) in the microscopic group (P = 0.485). It appears that patients who underwent endoscopic surgery experience recurrence less often than patients who underwent microscopic surgery, with recurrence proportions of 11.0% and 15.9%, respectively (P = 0.134). However, if follow-up time is taken into account, both groups had a recurrence rate of approximately 4% per person per year (95% CI: 3.1–5.4% and 3.6–5.1%, P = 0.651).
Conclusions
We found that remission proportion and recurrence rate were the same in patients who underwent endoscopic TS as in patients who underwent microscopic TS. The definition of diagnosis, remission and recurrence should always be considered in the studies assessing therapeutic efficacy in CD.
Neuroendocrine Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Introduction
Machine learning methods in sellar region diseases present a particular challenge because of the complexity and the necessity for reproducibility. This systematic review aims to compile the current literature on sellar region diseases that utilized machine learning methods and to propose a quality assessment tool and reporting checklist for future studies.
Methods
PubMed and Web of Science were searched to identify relevant studies. The quality assessment included five categories: unmet needs, reproducibility, robustness, generalizability and clinical significance.
Results
Seventeen studies were included with the diagnosis of general pituitary neoplasms, acromegaly, Cushing’s disease, craniopharyngioma and growth hormone deficiency. 87.5% of the studies arbitrarily chose one or two machine learning models. One study chose ensemble models, and one study compared several models. 43.8% of studies did not provide the platform for model training, and roughly half did not offer parameters or hyperparameters. 62.5% of the studies provided a valid method to avoid over-fitting, but only five reported variations in the validation statistics. Only one study validated the algorithm in a different external database. Four studies reported how to interpret the predictors, and most studies (68.8%) suggested possible clinical applications of the developed algorithm. The workflow of a machine-learning study and the recommended reporting items were also provided based on the results.
Conclusions
Machine learning methods were used to predict diagnosis and posttreatment outcomes in sellar region diseases. Though most studies had substantial unmet need and proposed possible clinical application, replicability, robustness and generalizability were major limits in current studies.
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National Center for Neurological Disorders, Shanghai, China
Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
Neurosurgical Institute of Fudan University, Shanghai, China
Shanghai Key Laboratory of Medical Brain Function and Restoration and Neural Regeneration, Fudan University, Shanghai, China
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National Center for Neurological Disorders, Shanghai, China
Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
Neurosurgical Institute of Fudan University, Shanghai, China
Shanghai Key Laboratory of Medical Brain Function and Restoration and Neural Regeneration, Fudan University, Shanghai, China
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Purpose
We aimed to describe and predict the risk of severe hypernatremia after surgical resection of craniopharyngioma and to identify the association of water intake, urine output, and sodium level change in the patients.
Method
The outcome was postoperative severe hypernatremia. We identified risk factors associated with hypernatremia using multivariable regression. We trained machine learning models to predict the outcome. We compared serum sodium change, intravenous input, oral input, total input, urine output, and net fluid balance according to different nurse shifts.
Results
Among 234 included patients, 125 developed severe hypernatremia after surgery. The peak incidence occurred during day 0 and day 6 after surgery. The risk was increased in patients with gross total resection (odds ratio (OR) 2.41, P < 0.001), high Puget classification (OR 4.44, P = 0.026), preoperative adrenal insufficiency (OR 2.01, P = 0.040), and preoperative hypernatremia (OR 5.55, P < 0.001). The random forest algorithm had the highest area under the receiver operating characteristic curve (0.770, 95% CI, 0.727–0.813) in predicting the outcome and was validated in the prospective validation cohort. Overnight shifts were associated with the highest serum sodium increase (P = 0.010), less intravenous input (P < 0.001), and less desmopressin use (P < 0.001).
Conclusion
The overall incidence of severe hypernatremia after surgical resection of craniopharyngioma was significant, especially in patients with gross total resection, hypothalamus distortion, preoperative adrenal insufficiency, and preoperative severe hypernatremia. Less intravenous input and less desmopressin use were associated with serum sodium increases, especially during overnight shifts.
National Center for Neurological Disorders, Shanghai, China
Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
Neurosurgical Institute of Fudan University, Shanghai, China
Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China
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National Center for Neurological Disorders, Shanghai, China
Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
Neurosurgical Institute of Fudan University, Shanghai, China
Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China
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National Center for Neurological Disorders, Shanghai, China
Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
Neurosurgical Institute of Fudan University, Shanghai, China
Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China
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National Center for Neurological Disorders, Shanghai, China
Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
Neurosurgical Institute of Fudan University, Shanghai, China
Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China
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National Center for Neurological Disorders, Shanghai, China
Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
Neurosurgical Institute of Fudan University, Shanghai, China
Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China
Department of Pathology, Huashan Hospital, Shanghai Medical School, Shanghai, China
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National Center for Neurological Disorders, Shanghai, China
Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
Neurosurgical Institute of Fudan University, Shanghai, China
Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China
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National Center for Neurological Disorders, Shanghai, China
Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
Neurosurgical Institute of Fudan University, Shanghai, China
Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China
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National Center for Neurological Disorders, Shanghai, China
Shanghai Clinical Medical Center of Neurosurgery, Shanghai, China
Neurosurgical Institute of Fudan University, Shanghai, China
Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China
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Introduction
Most studies reporting posterior pituitary tumors (PPTs) are small case series or single cases.
Methods
Patients with a histological diagnosis of PPT from January 2010 to December 2021 in a tertiary center were identified. We reported clinical symptoms, endocrine assessments, radiological and pathological features, and surgical outcomes of PPTs.
Results
A total of 51 patients (23 males, 51.3 ± 10.3 years old) with PPT were included in this study. Major symptoms were visual defects, headache, and hypopituitarism, while diabetes insipidus was uncommon (9.8%). The typical radiological feature was homogeneous enhancement (84.3%) of a regular-shaped mass on T1 contrast imaging without cystic change, calcification, or cavernous sinus invasion. We achieved gross total resection in 38/51 patients (74.5%). Pathologically, all tumors showed thyroid transcription factor 1 immunoreactivity. Among 29 patients with suprasellar PPTs, postoperative hemorrhage due to tumor residue was encountered in 2/15 cases in the transcranial group and 0/14 in the endoscopy group. Patients with spindle cell oncocytoma (SCO) were more likely to be surgically treated (25% vs 0%, P = 0.018), harbor a higher Ki-67 index (16.7% vs 0% > 5% P = 0.050), and present a lower 2-year recurrence-free survival rate (67.5% vs 90.9%) compared with patients with pituicytoma or granular cell tumor.
Conclusion
PPTs should be considered in the differential diagnosis of patients with sellar and suprasellar masses with a regular lesion with homogeneous enhancement. SCOs had high proliferation activity and risk of recurrence.