Serum Prolactin Level to Tumor Size Ratio as a Potential Parameter for Preoperative Differentiation of Prolactinomas from Hyperprolactinemia-Causing Non-functional Pituitary Adenomas.
retrospective_cohort · Level III
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- Record sourced from PubMed, PMID 34958988.
- Also identified by DOI 10.1016/j.wneu.2021.12.074.
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Abstract
Preoperative diagnosis of prolactinomas is critical because dopamine agonists have been regarded as a primary treatment. However, serum prolactin level alone is suboptimal for differentiating prolactinomas from hyperprolactinemia-causing non-functioning pituitary adenomas (NFPAs). By using the tumor size, the authors tried to investigate an effective parameter for the discrimination. We performed a retrospective review of patients who underwent trans-sphenoidal surgery for pituitary lesions in a single institute between January 2015 and May 2021. Using receiver operating curve (ROC) analyses, we compared performances of serum prolactin levels (PRL), a ratio of serum PRL levels to maximal tumor diameter (MD) (PRL/MD; PDR1), and MD squared (PRL/[MD]<sup>2</sup>; PDR2) in preoperative diagnosis of prolactinomas. A total of 223 patients with NFPAs (n = 175) and prolactinomas (n = 48) were included in the analysis. A moderate correlation was found between serum prolactin levels and MDs in prolactinomas (Pearson's r<sub>prl</sub> = 0.43, P = 0.002), whereas a weak correlation was observed in NFPAs (Pearson's r<sub>nfpa</sub> = 0.17, P = 0.028). Among diagnostic parameters, PDR2 exhibited the optimal diagnostic performance with the cutoff value of 0.83 [㎍/L]/mm<sup>2</sup> (area under the curve [AUC] = 0.945), compared with the PDR1 (8.93 [㎍/L]/mm with AUC 0.938) and PRL (99.4 ㎍/L with AUC 0.910). In the external validation study, PDR2 maintained superior performance over PDR1 and PRL (accuracy of 94.8%, 91.8%, and 75.8%, respectively). PDR2 was a more effective indicator than prolactin alone in the preoperative differential diagnosis of prolactinomas and NFPAs, which may help select patients who need medical treatment first.
Medical subject headings
- Hyperprolactinemia
- Pituitary Neoplasms
- Prolactinoma