Long-Term Changes in the Size of Pituitary Microadenomas.

BACKGROUND: The estimated prevalence of pituitary lesions is 10% to 38.5% in radiologic studies. However, how frequently these incidental lesions should be monitored by serial pituitary magnetic resonance imaging (MRI) remains unclear. OBJECTIVE: To evaluate changes in pituitary microadenomas over time. DESIGN: Retrospective, longitudinal cohort study. SETTING: Mass General Brigham, Boston, Massachusetts. PATIENTS: Evidence of pituitary microadenoma from MRI. MEASUREMENTS: Dimensions of pituitary microadenomas. RESULTS: During the study period (from 2003 to 2021), 414 patients with pituitary microadenomas were identified. Of the 177 patients who had more than 1 MRI, 78 had no change in the size of the microadenoma over time, 49 had an increase in size, 34 had a decrease in size, and 16 had both an increase and decrease in size. By linear mixed model analysis, the estimated slope was 0.016 mm/y (95% CI, -0.037 to 0.069). In the subgroup analysis, pituitary adenomas with a baseline size of 4 mm or less tended to increase in size. The estimated slope was 0.09 mm/y (CI, 0.020 to 0.161). In contrast, in the subgroup with baseline tumor size greater than 4 mm, the size tended to decrease. The estimated slope was -0.063 mm/y (CI, -0.141 to 0.015). LIMITATION: Retrospective cohort, some patients were lost to follow-up for unknown reasons, and data were limited to local large institutions. CONCLUSION: During the study period, approximately two thirds of the microadenomas remained unchanged or decreased in size. The growth, if any, was slow. These findings suggest that less frequent pituitary MRI surveillance for patients with incidental pituitary microadenomas may be safe. PRIMARY FUNDING SOURCE: None.

Postoperative Day 1 Morning Cortisol Value as a Biomarker to Predict Long-term Remission of Cushing Disease.

CONTEXT: Recurrence of Cushing disease (CD) can occur even decades after surgery. Biomarkers to predict recurrence of CD after surgery have been studied but are inconclusive. OBJECTIVE: The aim of our study was to identify specific biomarkers that can predict long-term remission after neurosurgery. DESIGN: Identification of specific biomarkers to predict long-term remission of CD was performed by logistic regression analysis followed by Kaplan-Meier survival analysis, using recurrence as the dependent variable. SETTING: A total of 260 patients with CD identified from our institutional research patient data registry search tool and from patients who presented to our longitudinal multidisciplinary clinic between May 2008 and May 2018 underwent statistical analysis. INTERVENTIONS: Data on clinical features, neuro-imaging study, pathology, biochemistry, and treatments were collected by reviewing digital chart records. MAIN OUTCOME MEASURE: Postoperative cortisol as a biomarker to predict long-term remission after surgical treatment for CD. RESULTS: By logistic regression analysis, postoperative day 1 (POD1) morning (5-10 am) serum cortisol, female sex, and proliferative index had significant association with CD recurrence (odds ratio [OR] = 1.025, 95% CI: 1.002-1.048, P = .032). In contrast, the postoperative nadir cortisol (OR = 1.081, 95% CI: 0.989-1.181, P = .086), urinary free cortisol (OR = 1.032, 95% CI: 0.994-1.07, P = .098), and late night salivary cortisol (OR = 1.383, 95% CI: 0.841-2.274, P = .201) had no significant correlation with recurrence. A significant association between POD1 morning serum cortisol and long-term CD remission was verified by Kaplan-Meier analysis when using POD1 morning serum cortisol <5 µg/dL as the cut-off. CONCLUSIONS: The POD1 morning serum cortisol level has a significant association with CD recurrence.