The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 04, 2011

Filed:

Mar. 06, 2009
Applicants:

Shipeng Yu, Exton, PA (US);

Glenn Fung, Madison, WI (US);

Cary Dehing-oberije, Brunssum, NL;

Dirk DE Ruysscher, Tervuren, BE;

Sriram Krishnan, Exton, PA (US);

R. Bharat Rao, Berwyn, PA (US);

Philippe Lambin, Genappe-Bousval, BE;

Inventors:

Shipeng Yu, Exton, PA (US);

Glenn Fung, Madison, WI (US);

Cary Dehing-Oberije, Brunssum, NL;

Dirk de Ruysscher, Tervuren, BE;

Sriram Krishnan, Exton, PA (US);

R. Bharat Rao, Berwyn, PA (US);

Philippe Lambin, Genappe-Bousval, BE;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 33/48 (2006.01); G01N 33/50 (2006.01);
U.S. Cl.
CPC ...
Abstract

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.


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