{"title":"基于形态学特征的nomogram预测前庭神经鞘瘤术后即刻面神经功能。","authors":"Yuichi Fujita, Yoichi Uozumi, Yosuke Fujimoto, Hiroaki Nagashima, Masaaki Kohta, Kazuhiro Tanaka, Hidehito Kimura, Atsushi Fujita, Eiji Kohmura, Takashi Sasayama","doi":"10.1007/s11060-025-04984-4","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Tumor morphology critically influences facial nerve (FN) outcomes following vestibular schwannoma (VS) surgery. This study aimed to develop a nomogram based on preoperative features for preoperative prediction of FN outcomes after VS surgery.</p><p><strong>Methods: </strong>A retrospective analysis included patients with sporadic VS who underwent surgical resection via the retrosigmoid approach. Tumor size was assessed using the Koos grade, the intrameatal components using the fundal fluid cap (FFC) sign, and the cerebellopontine angle cisternal components using our modified morphological subclassification. Logistic regression analysis was performed to construct a nomogram for predicting immediate postoperative FN function.</p><p><strong>Results: </strong>A total of 265 patients with VS met the inclusion criteria. Of these patients, 62 (23.4%) had poor FN function (House-Brackmann grade ≥ III) immediately after surgery. Univariate logistic regression analysis identified the Koos grade (p = 0.001), FFC sign (p = 0.023), and morphological subtype (p < 0.001) as significant predictors of poor FN function immediately after surgery. In multivariate logistic regression analysis, the FFC sign (OR 2.07, p = 0.042) and morphological subtype (OR 8.21, p < 0.001) remained statistically significant independent predictors of poor FN function. A nomogram constructed based on these indicators demonstrated good discrimination in the training cohort (area under the curve [AUC] 0.80), internal validation cohort (AUC 0.79), and external validation cohort (AUC 0.97).</p><p><strong>Conclusions: </strong>A simple and reliable nomogram incorporating the Koos grade, FFC sign, and morphological subtype accurately predicts the risk of FN injury during surgery aimed at total resection of VS. This clinically straightforward tool can assist in patient counseling and development of more individualized surgical strategies to improve FN outcomes in patients with VS.</p>","PeriodicalId":16425,"journal":{"name":"Journal of Neuro-Oncology","volume":" ","pages":"305-315"},"PeriodicalIF":3.2000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A morphological features-based nomogram for predicting facial nerve function in the immediate postoperative period after vestibular schwannoma surgery.\",\"authors\":\"Yuichi Fujita, Yoichi Uozumi, Yosuke Fujimoto, Hiroaki Nagashima, Masaaki Kohta, Kazuhiro Tanaka, Hidehito Kimura, Atsushi Fujita, Eiji Kohmura, Takashi Sasayama\",\"doi\":\"10.1007/s11060-025-04984-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Tumor morphology critically influences facial nerve (FN) outcomes following vestibular schwannoma (VS) surgery. This study aimed to develop a nomogram based on preoperative features for preoperative prediction of FN outcomes after VS surgery.</p><p><strong>Methods: </strong>A retrospective analysis included patients with sporadic VS who underwent surgical resection via the retrosigmoid approach. Tumor size was assessed using the Koos grade, the intrameatal components using the fundal fluid cap (FFC) sign, and the cerebellopontine angle cisternal components using our modified morphological subclassification. Logistic regression analysis was performed to construct a nomogram for predicting immediate postoperative FN function.</p><p><strong>Results: </strong>A total of 265 patients with VS met the inclusion criteria. Of these patients, 62 (23.4%) had poor FN function (House-Brackmann grade ≥ III) immediately after surgery. Univariate logistic regression analysis identified the Koos grade (p = 0.001), FFC sign (p = 0.023), and morphological subtype (p < 0.001) as significant predictors of poor FN function immediately after surgery. In multivariate logistic regression analysis, the FFC sign (OR 2.07, p = 0.042) and morphological subtype (OR 8.21, p < 0.001) remained statistically significant independent predictors of poor FN function. A nomogram constructed based on these indicators demonstrated good discrimination in the training cohort (area under the curve [AUC] 0.80), internal validation cohort (AUC 0.79), and external validation cohort (AUC 0.97).</p><p><strong>Conclusions: </strong>A simple and reliable nomogram incorporating the Koos grade, FFC sign, and morphological subtype accurately predicts the risk of FN injury during surgery aimed at total resection of VS. This clinically straightforward tool can assist in patient counseling and development of more individualized surgical strategies to improve FN outcomes in patients with VS.</p>\",\"PeriodicalId\":16425,\"journal\":{\"name\":\"Journal of Neuro-Oncology\",\"volume\":\" \",\"pages\":\"305-315\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Neuro-Oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s11060-025-04984-4\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/3/13 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Neuro-Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11060-025-04984-4","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/13 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
A morphological features-based nomogram for predicting facial nerve function in the immediate postoperative period after vestibular schwannoma surgery.
Purpose: Tumor morphology critically influences facial nerve (FN) outcomes following vestibular schwannoma (VS) surgery. This study aimed to develop a nomogram based on preoperative features for preoperative prediction of FN outcomes after VS surgery.
Methods: A retrospective analysis included patients with sporadic VS who underwent surgical resection via the retrosigmoid approach. Tumor size was assessed using the Koos grade, the intrameatal components using the fundal fluid cap (FFC) sign, and the cerebellopontine angle cisternal components using our modified morphological subclassification. Logistic regression analysis was performed to construct a nomogram for predicting immediate postoperative FN function.
Results: A total of 265 patients with VS met the inclusion criteria. Of these patients, 62 (23.4%) had poor FN function (House-Brackmann grade ≥ III) immediately after surgery. Univariate logistic regression analysis identified the Koos grade (p = 0.001), FFC sign (p = 0.023), and morphological subtype (p < 0.001) as significant predictors of poor FN function immediately after surgery. In multivariate logistic regression analysis, the FFC sign (OR 2.07, p = 0.042) and morphological subtype (OR 8.21, p < 0.001) remained statistically significant independent predictors of poor FN function. A nomogram constructed based on these indicators demonstrated good discrimination in the training cohort (area under the curve [AUC] 0.80), internal validation cohort (AUC 0.79), and external validation cohort (AUC 0.97).
Conclusions: A simple and reliable nomogram incorporating the Koos grade, FFC sign, and morphological subtype accurately predicts the risk of FN injury during surgery aimed at total resection of VS. This clinically straightforward tool can assist in patient counseling and development of more individualized surgical strategies to improve FN outcomes in patients with VS.
期刊介绍：
The Journal of Neuro-Oncology is a multi-disciplinary journal encompassing basic, applied, and clinical investigations in all research areas as they relate to cancer and the central nervous system. It provides a single forum for communication among neurologists, neurosurgeons, radiotherapists, medical oncologists, neuropathologists, neurodiagnosticians, and laboratory-based oncologists conducting relevant research. The Journal of Neuro-Oncology does not seek to isolate the field, but rather to focus the efforts of many disciplines in one publication through a format which pulls together these diverse interests. More than any other field of oncology, cancer of the central nervous system requires multi-disciplinary approaches. To alleviate having to scan dozens of journals of cell biology, pathology, laboratory and clinical endeavours, JNO is a periodical in which current, high-quality, relevant research in all aspects of neuro-oncology may be found.
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