Prognostic Model for Intracranial Progression after Stereotactic Radiosurgery: A Multicenter Validation Study.
Prognostic Model for Intracranial Progression after Stereotactic Radiosurgery: A Multicenter Validation Study.
复制标题
立体定向放射外科手术后颅内进展的预后模型：多中心验证研究。
DOI：
10.3390/cancers14215186
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发表时间：
2022-10-22
期刊：
影响因子：
5.2
通讯作者：
Salama, Joseph K.
中科院分区：
文献类型：
--
作者：
Carpenter, David J.;Natarajan, Brahma;Arshad, Muzamil;Natesan, Divya;Schultz, Olivia;Moravan, Michael J.;Read, Charlotte;Lafata, Kyle J.;Giles, Will;Fecci, Peter;Mullikin, Trey C.;Reitman, Zachary J.;Kirkpatrick, John P.;Floyd, Scott R.;Chmura, Steven J.;Hong, Julian C.;Salama, Joseph K.
为了优化立体定向放射外科 (SRS) 后脑转移患者的监测，我们试图验证之前发布的估计 SRS 后颅内进展 (IP) 风险的列线图。 2017 年 7 月至 2020 年 12 月，在两个机构完成初始 SRS 课程的 890 名患者中，53% 的患者被视为 IP 高风险。低风险患者的 IP 自由率较高 (p < 0.001)，中位时间为 13.9 个月（95% CI 11.1–17.1 个月），而高风险患者则为 7.6 个月（95% CI 6.4–9.3 个月）。这个大型多站点队列支持使用 IP 列线图作为一种快速、简单的方法，将患者分为 SRS 后 IP 的低风险组和高风险组。立体定向放射外科 (SRS) 是许多脑转移患者的标准治疗方法。为了优化 SRS 后监测，本研究旨在验证之前发布的预测 SRS 后颅内进展 (IP) 的列线图。我们确定了 2017 年 7 月至 2020 年 12 月期间在两个机构中完成 SRS 初始疗程的连续患者。根据之前发布的列线图，患者被分类为 SRS 后 IP 的低风险或高风险。通过 Kaplan-Meier 方法评估总生存期 (OS) 和无 IP (FFIP)。使用单变量和多变量 Cox 比例风险模型对影响 FFIP 的参数进行评估。在 890 名患者中，中位随访时间为 9.8 个月（95% CI 9.1-11.2 个月）。总共，47% 的患者患有 NSCLC 原发肿瘤，47% 的患者在接受 SRS 时患有寡转移性疾病（定义为≤5 个转移灶）。根据 IP 列线图，53% 的患者被视为高风险。对于低风险和高风险患者，中位 FFIP 分别为 13.9 个月（95% CI 11.1-17.1 个月）和 7.6 个月（95% CI 6.4-9.3 个月），并且 FFIP 在低风险患者中优于（p < 0.0001）。这个大型多部位 BM 队列支持使用 IP 列线图作为一种快速而简单的方法，将患者分为 SRS 后 IP 的低风险组和高风险组。
To optimize surveillance for patients with brain metastases following stereotactic radiosurgery (SRS), we sought to validate a previously published nomogram estimating post-SRS intracranial progression (IP) risk. Among 890 patients completing an initial SRS course across two institutions 7/2017–12/2020, 53% were deemed high-risk for IP. Freedom from IP was superior for low-risk patients (p < 0.001), with a median of 13.9 months (95% CI 11.1–17.1 months) versus 7.6 months (95% CI 6.4–9.3 months) for high-risk patients. This large multisite cohort supports the use of an IP nomogram as a quick, simple means of stratifying patients into low- and high-risk groups for post-SRS IP. Stereotactic radiosurgery (SRS) is a standard of care for many patients with brain metastases. To optimize post-SRS surveillance, this study aimed to validate a previously published nomogram predicting post-SRS intracranial progression (IP). We identified consecutive patients completing an initial course of SRS across two institutions between July 2017 and December 2020. Patients were classified as low- or high-risk for post-SRS IP per a previously published nomogram. Overall survival (OS) and freedom from IP (FFIP) were assessed via the Kaplan–Meier method. Assessment of parameters impacting FFIP was performed with univariable and multivariable Cox proportional hazard models. Among 890 patients, median follow-up was 9.8 months (95% CI 9.1–11.2 months). In total, 47% had NSCLC primary tumors, and 47% had oligometastatic disease (defined as ≤5 metastastic foci) at the time of SRS. Per the IP nomogram, 53% of patients were deemed high-risk. For low- and high-risk patients, median FFIP was 13.9 months (95% CI 11.1–17.1 months) and 7.6 months (95% CI 6.4–9.3 months), respectively, and FFIP was superior in low-risk patients (p < 0.0001). This large multisite BM cohort supports the use of an IP nomogram as a quick and simple means of stratifying patients into low- and high-risk groups for post-SRS IP.
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DOI：
10.1016/j.ijrobp.2022.03.020
发表时间：
2022-09-01
影响因子：
7
作者：
Sperduto, Paul W.;De, Brian;Li, Jing;Carpenter, David;Kirkpatrick, John;Milligan, Michael;Shih, Helen A.;Kutuk, Tugce;Kotecha, Rupesh;Higaki, Hajime;Otsuka, Manami;Aoyama, Hidefumi;Bourgoin, Malie;Roberge, David;Dajani, Salah;Sachdev, Sean;Gainey, Jordan;Buatti, John M.;Breen, William;Brown, Paul D.;Ni, Lisa;Braunstein, Steve;Gallitto, Matthew;Wang, Tony J. C.;Shanley, Ryan;Lou, Emil;Shiao, Jay;Gaspar, Laurie E.;Tanabe, Satoshi;Nakano, Toshimichi;An, Yi;Chiang, Veronica;Zeng, Liang;Soliman, Hany;Elhalawani, Hesham;Cagney, Daniel;Thomas, Evan;Boggs, Drexell H.;Ahluwalia, Manmeet S.;Mehta, Minesh P.
通讯作者：
Mehta, Minesh P.
DOI：
10.1016/s0360-3016(96)00619-0
发表时间：
1997-03-01
影响因子：
7
作者：
Gaspar, L;Scott, C;Byhardt, R
通讯作者：
Byhardt, R
影响因子：
45.3
作者：
Sperduto, Paul W.;Kased, Norbert;Mehta, Minesh
通讯作者：
Mehta, Minesh
DOI：
10.1093/noajnl/vdab126
发表时间：
2021-11
期刊：
Neuro-oncology advances
影响因子：
--
作者：
Gondi V;Meyer J;Shih HA
通讯作者：
Shih HA
影响因子：
5.7
作者：
McTyre, Emory R.;Soike, Michael H.;Chan, Michael D.
通讯作者：
Chan, Michael D.