Modeling lung cancer survival probability after or side-effects from therapy
    2.
    发明授权
    Modeling lung cancer survival probability after or side-effects from therapy 有权
    建立肺癌存活概率或治疗后副作用

    公开(公告)号:US08032308B2

    公开(公告)日:2011-10-04

    申请号:US12399274

    申请日:2009-03-06

    IPC分类号: G01N33/48 G01N33/50

    摘要: Modeling of prognosis of survivability, side-effect, or both is provided. For example, RILI is predicted using bullae information. The amount, volume or ratio of Bullae, even alone, may indicate the likelihood of complication, such as the likelihood of significant (e.g., stage 3) pneumonitis. As another example, RILI is predicted using uptake values of an imaging agent. Standardized uptake from a functional image (e.g., FDG uptake from a positron emission image), alone or in combination with other features, may indicate the likelihood of side-effect. In another example, survivability, such as two-year survivability, is predicted using blood biomarkers. The characteristics of a patient's blood may be measured and, alone or in combination with other features, may indicate the likelihood of survival. The modeling may be for survivability, side-effect, or both and may use one or more of the blood biomarker, uptake value, and bullae features.

    摘要翻译: 提供了对生存能力,副作用或两者的预后的建模。 例如,使用大疱信息预测RILI。 Bullae的数量,体积或比例,甚至单独可能表明并发症的可能性,例如显着(例如阶段3)肺炎的可能性。 作为另一个例子,使用成像剂的摄取值来预测RILI。 来自功能图像的标准摄取(例如,来自正电子发射图像的FDG摄取)单独或与其它特征组合可以指示副作用的可能性。 在另一个例子中,使用血液生物标志物来预测存活能力,例如两年生存能力。 可以测量患者血液的特征,单独或与其它特征组合可能表明存活的可能性。 建模可以是存活性,副作用或两者,并且可以使用一种或多种血液生物标志物,摄取值和大疱特征。

    MODELING LUNG CANCER SURVIVAL PROBABILITY AFTER OR SIDE-EFFECTS FROM THERAPY
    3.
    发明申请
    MODELING LUNG CANCER SURVIVAL PROBABILITY AFTER OR SIDE-EFFECTS FROM THERAPY 有权
    建立肺癌患者治疗后或治疗效果后的存活率

    公开(公告)号:US20090234627A1

    公开(公告)日:2009-09-17

    申请号:US12399274

    申请日:2009-03-06

    IPC分类号: G06G7/60

    摘要: Modeling of prognosis of survivability, side-effect, or both is provided. For example, RILI is predicted using bullae information. The amount, volume or ratio of Bullae, even alone, may indicate the likelihood of complication, such as the likelihood of significant (e.g., stage 3) pneumonitis. As another example, RILI is predicted using uptake values of an imaging agent. Standardized uptake from a functional image (e.g., FDG uptake from a positron emission image), alone or in combination with other features, may indicate the likelihood of side-effect. In another example, survivability, such as two-year survivability, is predicted using blood biomarkers. The characteristics of a patient's blood may be measured and, alone or in combination with other features, may indicate the likelihood of survival. The modeling may be for survivability, side-effect, or both and may use one or more of the blood biomarker, uptake value, and bullae features.

    摘要翻译: 提供了对生存能力,副作用或两者的预后的建模。 例如,使用大疱信息预测RILI。 Bullae的数量,体积或比例,甚至单独可能表明并发症的可能性,例如显着(例如阶段3)肺炎的可能性。 作为另一个例子,使用成像剂的摄取值来预测RILI。 来自功能图像的标准摄取(例如,来自正电子发射图像的FDG摄取)单独或与其它特征组合可以指示副作用的可能性。 在另一个例子中,使用血液生物标志物来预测存活能力,例如两年生存能力。 可以测量患者血液的特征,单独或与其它特征组合可能表明存活的可能性。 建模可以是存活性,副作用或两者,并且可以使用一种或多种血液生物标志物,摄取值和大疱特征。