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Machine-Learning-Based Prediction of Treatment Outcomes Using MR Imaging-Derived Quantitative Tumor Information in Patients with Sinonasal Squamous Cell Carcinomas: A Preliminary Study

机译：基于机器学习的治疗结果预测，使用Sinonasal鳞状细胞癌患者使用MR成像衍生的定量肿瘤信息：初步研究

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Noriyuki Fujima; Yukie Shimizu; Daisuke Yoshida; Satoshi Kano; Takatsugu Mizumachi; Akihiro Homma; Koichi Yasuda; Rikiya Onimaru; Osamu Sakai; Kohsuke Kudo; Hiroki Shirato;
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1. Prediction of the treatment outcome using intravoxel incoherent motion and diffusional kurtosis imaging in nasal or sinonasal squamous cell carcinoma patients [J] . Fujima Noriyuki, Yoshida Daisuke, Sakashita Tomohiro, European radiology . 2017,第3期

机译：使用鼻腔或Sinonasal鳞状细胞癌患者中膀胱杂环非相干运动和扩散峰成像的治疗结果预测
2. Endonasal endoscopic surgery for squamous cell carcinoma of the sinonasal cavities and skull base: Oncologic outcomes based on treatment strategy and tumor etiology [J] . de Almeida John R., Su Shirley Y., Koutourousiou Maria, Head and neck: Journal for the sciences and specialities of the head and neck . 2015,第8期

机译：鼻腔内窥镜手术治疗鼻窦腔和颅底鳞状细胞癌：基于治疗策略和肿瘤病因的肿瘤学结局
3. Treatment outcomes of concurrent chemoradiotherapy for locally advanced sinonasal squamous cell carcinoma: A single-institution study [J] . Kim Ji Heui, Lee Yoon Se, Chung Yoo-Sam, Acta Oto-Laryngologica . 2015,第11a12期

机译：局部晚期鼻窦鳞状细胞癌同时放化疗的治疗结果：单机构研究
4. Potential Prognostic Indicators of Oral Squamous Cell Carcinoma Associated with Patient Outcomes [C] . Thomas M. Harris, Nicole Kawachi, Peicheng Du, ASMS Conference on Mass Spectrometry and Allied Topics . 2014

机译：与患者结果相关的口腔鳞状细胞癌的潜在预后指标
5. Pathological tumor volume predicts survival outcomes in oral squamous cell carcinoma [D] . MUKOYAMA NOBUAKI, 向山宣昭 2019

机译：病理肿瘤体积预测口腔鳞状细胞癌的生存结果
6. Machine-Learning-Based Prediction of Treatment Outcomes Using MR Imaging-Derived Quantitative Tumor Information in Patients with Sinonasal Squamous Cell Carcinomas: A Preliminary Study [O] . Noriyuki Fujima, Yukie Shimizu, Daisuke Yoshida, 2019

机译：基于机器学习的鼻窦鳞状细胞癌患者使用MR成像得出的定量肿瘤信息预测治疗结果：一项初步研究
7. Semi-quantitative analysis of pre-treatment morphological and intratumoral characteristics using 18F-fluorodeoxyglucose positron-emission tomography as predictors of treatment outcome in nasal and paranasal squamous cell carcinoma [O] . Noriyuki Fujima, Kenji Hirata, Tohru Shiga, 2018

机译：18F-氟脱氧葡萄糖正电子排放断层扫描作为鼻腔和偏鳞状细胞癌治疗结果预测因子的半定量分析

Machine-Learning-Based Prediction of Treatment Outcomes Using MR Imaging-Derived Quantitative Tumor Information in Patients with Sinonasal Squamous Cell Carcinomas: A Preliminary Study

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