Robert C Osorio, Aymen Kabir, Alexander F Haddad, Aarav Badani, Harmon Khela, Atul Saha, Ryan Juncker, Zain Peeran, Philip Theodosopoulos, Sandeep Kunwar, Jose Gurrola, Ivan H El-Sayed, Lewis Blevins, Manish K Aghi
{"title":"体细胞腺瘤切除术中生化缓解的术前预测因素:单机构回顾性研究。","authors":"Robert C Osorio, Aymen Kabir, Alexander F Haddad, Aarav Badani, Harmon Khela, Atul Saha, Ryan Juncker, Zain Peeran, Philip Theodosopoulos, Sandeep Kunwar, Jose Gurrola, Ivan H El-Sayed, Lewis Blevins, Manish K Aghi","doi":"10.3171/2024.7.JNS24373","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>There is persistent debate in the literature surrounding the true predictors of biochemical remission after resection of somatotroph adenoma. A multimodal analysis of a large number of patients is needed to better understand which patients may be at higher or lower risk for remission failure after surgery.</p><p><strong>Methods: </strong>A retrospective review was performed on patients undergoing somatotroph adenoma resection. Biochemical remission was defined as age- and sex-adjusted normalization of serum insulin growth factor-1 (IGF-1) levels at least 6 months after surgery. Patient case characteristics and clinicopathologic variables were tested for statistical associations with remission and were included in a random forest machine learning model to assess for their importance in determining remission status. Preoperative variables found to be significant remission predictors on statistical testing and important in the random forest model were subsequently assessed via receiver operating characteristic (ROC) analysis to determine numeric thresholds that optimally predicted preoperative likelihood of remission success or failure.</p><p><strong>Results: </strong>Eighty patients were identified with somatotroph adenoma who underwent transsphenoidal resection, with 60 patients (75%) achieving biochemical remission. Statistical testing found that patients with failed remission were more likely to have larger tumors (1.9 vs 1.6 cm by the largest axis, p = 0.014; and 3.61 vs 2.66 cm3 by 3D volume, p = 0.013) that invaded the cavernous sinus more frequently (70% vs 22% of patients, p < 0.001) and have higher preoperative IGF-1 level (860 vs 660 ng/ml, p = 0.044). An optimized random forest machine learning model with 10,000 iterations found that tumor size, preoperative growth hormone and IGF-1 levels, and cavernous sinus invasion were important preoperative predictors of remission status. ROC analysis revealed that 96% of patients with preoperative 3D tumor volume less than 1.51 cm3 (area under the curve [AUC] 0.691, p = 0.003) and 100% with nonadjusted preoperative IGF-1 level less than 718.5 ng/ml (AUC 0.736, p = 0.002) achieved remission.</p><p><strong>Conclusions: </strong>Important preoperative predictors of postoperative remission for somatotroph adenoma resection include serum IGF-1 level, cavernous sinus invasion, and tumor size. Ninety-five percent of patients who achieved postoperative remission had preoperative 3D tumor volume less than 1.51 cm3.</p>","PeriodicalId":16505,"journal":{"name":"Journal of neurosurgery","volume":" ","pages":"1-10"},"PeriodicalIF":3.5000,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Preoperative predictors of biochemical remission in somatotroph adenoma resections: a single-institution retrospective review.\",\"authors\":\"Robert C Osorio, Aymen Kabir, Alexander F Haddad, Aarav Badani, Harmon Khela, Atul Saha, Ryan Juncker, Zain Peeran, Philip Theodosopoulos, Sandeep Kunwar, Jose Gurrola, Ivan H El-Sayed, Lewis Blevins, Manish K Aghi\",\"doi\":\"10.3171/2024.7.JNS24373\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>There is persistent debate in the literature surrounding the true predictors of biochemical remission after resection of somatotroph adenoma. A multimodal analysis of a large number of patients is needed to better understand which patients may be at higher or lower risk for remission failure after surgery.</p><p><strong>Methods: </strong>A retrospective review was performed on patients undergoing somatotroph adenoma resection. Biochemical remission was defined as age- and sex-adjusted normalization of serum insulin growth factor-1 (IGF-1) levels at least 6 months after surgery. Patient case characteristics and clinicopathologic variables were tested for statistical associations with remission and were included in a random forest machine learning model to assess for their importance in determining remission status. Preoperative variables found to be significant remission predictors on statistical testing and important in the random forest model were subsequently assessed via receiver operating characteristic (ROC) analysis to determine numeric thresholds that optimally predicted preoperative likelihood of remission success or failure.</p><p><strong>Results: </strong>Eighty patients were identified with somatotroph adenoma who underwent transsphenoidal resection, with 60 patients (75%) achieving biochemical remission. Statistical testing found that patients with failed remission were more likely to have larger tumors (1.9 vs 1.6 cm by the largest axis, p = 0.014; and 3.61 vs 2.66 cm3 by 3D volume, p = 0.013) that invaded the cavernous sinus more frequently (70% vs 22% of patients, p < 0.001) and have higher preoperative IGF-1 level (860 vs 660 ng/ml, p = 0.044). An optimized random forest machine learning model with 10,000 iterations found that tumor size, preoperative growth hormone and IGF-1 levels, and cavernous sinus invasion were important preoperative predictors of remission status. ROC analysis revealed that 96% of patients with preoperative 3D tumor volume less than 1.51 cm3 (area under the curve [AUC] 0.691, p = 0.003) and 100% with nonadjusted preoperative IGF-1 level less than 718.5 ng/ml (AUC 0.736, p = 0.002) achieved remission.</p><p><strong>Conclusions: </strong>Important preoperative predictors of postoperative remission for somatotroph adenoma resection include serum IGF-1 level, cavernous sinus invasion, and tumor size. Ninety-five percent of patients who achieved postoperative remission had preoperative 3D tumor volume less than 1.51 cm3.</p>\",\"PeriodicalId\":16505,\"journal\":{\"name\":\"Journal of neurosurgery\",\"volume\":\" \",\"pages\":\"1-10\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of neurosurgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3171/2024.7.JNS24373\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of neurosurgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3171/2024.7.JNS24373","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
摘要
目的:关于体细胞腺瘤切除术后生化缓解的真正预测因素,文献中一直存在争议。需要对大量患者进行多模式分析,以更好地了解哪些患者术后缓解失败的风险较高或较低:方法:对接受嗜体细胞腺瘤切除术的患者进行回顾性研究。生化缓解的定义是:术后至少 6 个月,经年龄和性别调整后,血清胰岛素生长因子-1(IGF-1)水平恢复正常。对患者病例特征和临床病理变量与缓解之间的统计学关联进行了测试,并将其纳入随机森林机器学习模型,以评估它们在确定缓解状态方面的重要性。随后,通过接收器操作特征(ROC)分析评估了在统计检测中发现的显著缓解预测因素和随机森林模型中的重要术前变量,以确定最佳预测术前缓解成功或失败可能性的数字阈值:80名体细胞腺瘤患者接受了经蝶窦切除术,其中60名患者(75%)获得了生化缓解。统计检测发现,缓解失败的患者肿瘤更大(最大轴线为1.9 vs 1.6 cm,p = 0.014;三维体积为3.61 vs 2.66 cm3,p = 0.013),更常侵犯海绵窦(70%的患者 vs 22%的患者,p < 0.001),术前IGF-1水平更高(860 vs 660 ng/ml,p = 0.044)。一个经过 10,000 次迭代的优化随机森林机器学习模型发现,肿瘤大小、术前生长激素和 IGF-1 水平以及海绵窦侵犯是术前预测缓解状态的重要因素。ROC分析显示,术前三维肿瘤体积小于1.51立方厘米(曲线下面积[AUC] 0.691,p = 0.003)的患者有96%获得了缓解,术前IGF-1水平小于718.5纳克/毫升(AUC 0.736,p = 0.002)的患者100%获得了缓解:结论:预测体细胞腺瘤切除术后缓解的重要术前因素包括血清IGF-1水平、海绵窦侵犯和肿瘤大小。95%获得术后缓解的患者术前三维肿瘤体积小于1.51立方厘米。
Preoperative predictors of biochemical remission in somatotroph adenoma resections: a single-institution retrospective review.
Objective: There is persistent debate in the literature surrounding the true predictors of biochemical remission after resection of somatotroph adenoma. A multimodal analysis of a large number of patients is needed to better understand which patients may be at higher or lower risk for remission failure after surgery.
Methods: A retrospective review was performed on patients undergoing somatotroph adenoma resection. Biochemical remission was defined as age- and sex-adjusted normalization of serum insulin growth factor-1 (IGF-1) levels at least 6 months after surgery. Patient case characteristics and clinicopathologic variables were tested for statistical associations with remission and were included in a random forest machine learning model to assess for their importance in determining remission status. Preoperative variables found to be significant remission predictors on statistical testing and important in the random forest model were subsequently assessed via receiver operating characteristic (ROC) analysis to determine numeric thresholds that optimally predicted preoperative likelihood of remission success or failure.
Results: Eighty patients were identified with somatotroph adenoma who underwent transsphenoidal resection, with 60 patients (75%) achieving biochemical remission. Statistical testing found that patients with failed remission were more likely to have larger tumors (1.9 vs 1.6 cm by the largest axis, p = 0.014; and 3.61 vs 2.66 cm3 by 3D volume, p = 0.013) that invaded the cavernous sinus more frequently (70% vs 22% of patients, p < 0.001) and have higher preoperative IGF-1 level (860 vs 660 ng/ml, p = 0.044). An optimized random forest machine learning model with 10,000 iterations found that tumor size, preoperative growth hormone and IGF-1 levels, and cavernous sinus invasion were important preoperative predictors of remission status. ROC analysis revealed that 96% of patients with preoperative 3D tumor volume less than 1.51 cm3 (area under the curve [AUC] 0.691, p = 0.003) and 100% with nonadjusted preoperative IGF-1 level less than 718.5 ng/ml (AUC 0.736, p = 0.002) achieved remission.
Conclusions: Important preoperative predictors of postoperative remission for somatotroph adenoma resection include serum IGF-1 level, cavernous sinus invasion, and tumor size. Ninety-five percent of patients who achieved postoperative remission had preoperative 3D tumor volume less than 1.51 cm3.
期刊介绍:
The Journal of Neurosurgery, Journal of Neurosurgery: Spine, Journal of Neurosurgery: Pediatrics, and Neurosurgical Focus are devoted to the publication of original works relating primarily to neurosurgery, including studies in clinical neurophysiology, organic neurology, ophthalmology, radiology, pathology, and molecular biology. The Editors and Editorial Boards encourage submission of clinical and laboratory studies. Other manuscripts accepted for review include technical notes on instruments or equipment that are innovative or useful to clinicians and researchers in the field of neuroscience; papers describing unusual cases; manuscripts on historical persons or events related to neurosurgery; and in Neurosurgical Focus, occasional reviews. Letters to the Editor commenting on articles recently published in the Journal of Neurosurgery, Journal of Neurosurgery: Spine, and Journal of Neurosurgery: Pediatrics are welcome.