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World neurosurgery · 2021

Serum Prolactin Level to Tumor Size Ratio as a Potential Parameter for Preoperative Differentiation of Prolactinomas from Hyperprolactinemia-Causing Non-functional Pituitary Adenomas.

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Kim Jeong-Hwa, Hur Kyu-Yeon, Hong Sang-Duk, Choi Jung-Won, Seol Ho Jun, Nam Do-Hyun, Lee Jung-Il, Kong Doo-Sik

Аннотация

OBJECTIVE: 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.

METHODS: 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]2; PDR2) in preoperative diagnosis of prolactinomas.

RESULTS: 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 rprl = 0.43, P = 0.002), whereas a weak correlation was observed in NFPAs (Pearson's rnfpa = 0.17, P = 0.028). Among diagnostic parameters, PDR2 exhibited the optimal diagnostic performance with the cutoff value of 0.83 [㎍/L]/mm2 (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).

CONCLUSIONS: 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.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты