Correlation between tumor volume and serum prolactin and its effect on surgical outcomes in a cohort of 219 prolactinoma patients.

Abstract

Prolactinoma is the most common pituitary adenoma and can be managed medically or surgically. The authors assessed the correlation between tumor volume and prolactin level and its effect on surgical outcomes. The authors reviewed 219 patients who underwent transsphenoidal prolactinoma resection at a single institution from 2012 to 2019. Outcomes were compared between patients with and without biochemical remission. Tumor volumes were quantified with BrainLab Smartbrush. Correlation analysis and linear regression were used to examine the association between tumor volume and serum prolactin level. Volume-adjusted prolactin level was defined as serum prolactin level divided by tumor volume. The authors utilized receiver operating characteristic (ROC) curve analysis to determine the thresholds for predicting biochemical remission status. The mean tumor volume was 5.66 cm3, and the mean preoperative prolactin level was 752.3 µg/L. Men had larger prolactinomas than women (mean volume 11.32 vs 2.54 cm3; p < 0.001), and women had a greater volume-adjusted prolactin level (mean 412.5 vs 175.9 µg/L/cm3, p < 0.001). In total, 66.7% of surgical patients achieved biochemical remission 6 weeks after surgery, whereas a similar cohort of medically treated patients during the same time frame demonstrated a 69.4% remission rate. Pearson correlation and linear regression analysis revealed a strong association between preoperative tumor volume and prolactin levels, with an increase in serum prolactin level of 101.31 µg/L per 1-cm3 increase in tumor volume (p < 0.001). This held true for men (R = 0.601, p < 0.001) and women (R = 0.935, p < 0.001), with women demonstrating a greater increase in prolactin level per 1-cm3 increase in volume (185.70 vs 79.77 µg/L, p < 0.001). Patients who achieved remission exhibited a 66.08-µg/L increase in preoperative prolactin level per 1 cm3 of preoperative tumor volume (p < 0.001), which was less than the 111.46-µg/L increase per 1 cm3 in patients without remission (p < 0.001). Patients who failed to achieve remission had residual tumors with a 77.77-µg/L increase in prolactin per 1 cm3 of remaining tumor volume after resection (p < 0.001). ROC curve analysis revealed significant thresholds that optimally predicted lack of postoperative remission on the basis of preoperative prolactin and tumor volume. These thresholds were rendered nonsignificant in patients with documented Knosp grade ≥ 3. Although the authors found a correlation between prolactinoma volume and serum prolactin level, patients without remission had a greater increase in serum prolactin level per increase in preoperative tumor volume than those who achieved remission, suggesting unique tumor composition. The authors also identified prolactin and tumor volume thresholds that optimally predicted biochemical remission status. The authors hope that their results can be used to identify prolactinomas for which surgery could achieve remission as an alternative to medical management.