Osorio Robert C, Pereira Matheus P, Oh Taemin, Joshi Rushikesh S, Haddad Alexander F, Pereira Kaitlyn M, Donohue Kevin C, Peeran Zain, Carson William, Badani Aarav, Wang Elaina J, Sudhir Sweta, Chandra Ankush, Jain Saket, Beniwal Angad, Gurrola José, El-Sayed Ivan H, Blevins Lewis S, Theodosopoulos Philip V, Kunwar Sandeep, Aghi Manish K
1School of Medicine, University of California, San Francisco, California.
Departments of2Neurological Surgery and.
J Neurosurg. 2022 Oct 14;138(6):1669-1679. doi: 10.3171/2022.8.JNS221890. Print 2023 Jun 1.
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.
泌乳素瘤是最常见的垂体腺瘤,可通过药物或手术治疗。作者评估了肿瘤体积与泌乳素水平之间的相关性及其对手术结果的影响。
作者回顾了2012年至2019年在单一机构接受经蝶窦泌乳素瘤切除术的219例患者。比较了生化缓解和未缓解患者的手术结果。使用BrainLab Smartbrush对肿瘤体积进行量化。采用相关性分析和线性回归分析来研究肿瘤体积与血清泌乳素水平之间的关联。体积校正泌乳素水平定义为血清泌乳素水平除以肿瘤体积。作者利用受试者工作特征(ROC)曲线分析来确定预测生化缓解状态的阈值。
平均肿瘤体积为5.66 cm³,术前平均泌乳素水平为752.3 μg/L。男性的泌乳素瘤比女性大(平均体积11.32 vs 2.54 cm³;p < 0.001),女性的体积校正泌乳素水平更高(平均412.5 vs 175.9 μg/L/cm³,p < 0.001)。总体而言,66.7%的手术患者在术后6周实现了生化缓解,而同期接受药物治疗的类似队列患者的缓解率为69.4%。Pearson相关性和线性回归分析显示术前肿瘤体积与泌乳素水平之间存在强关联,肿瘤体积每增加1 cm³,血清泌乳素水平增加101.31 μg/L(p < 0.001)。男性(R = 0.601,p < 0.001)和女性(R = 0.935,p < 0.001)均如此,女性肿瘤体积每增加1 cm³,泌乳素水平升高幅度更大(185.70 vs 79.77 μg/L,p < 0.001)。实现缓解的患者术前肿瘤体积每增加1 cm³,术前泌乳素水平升高66.08 μg/L(p < 0.001),低于未缓解患者每增加1 cm³升高111.46 μg/L的幅度(p < 0.001)。未实现缓解的患者术后残留肿瘤每增加1 cm³,泌乳素水平升高77.77 μg/L(p < 0.001)。ROC曲线分析揭示了基于术前泌乳素和肿瘤体积最佳预测术后未缓解的显著阈值。在记录为Knosp分级≥3级的患者中,这些阈值无统计学意义。
尽管作者发现泌乳素瘤体积与血清泌乳素水平之间存在相关性,但未缓解患者术前肿瘤体积每增加,血清泌乳素水平升高幅度大于实现缓解的患者,提示肿瘤组成独特。作者还确定了最佳预测生化缓解状态的泌乳素和肿瘤体积阈值。作者希望他们的结果可用于识别手术可实现缓解的泌乳素瘤,作为药物治疗的替代方案。