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US 12,620,468 B2Granted
Personalized liver cancer treatment
OwnerDipankar Ghosh, John Carl Hoefsinventors
Life of this patent
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Abstract
Systems and methods are provided for collecting and processing data from liver cancer patients that can be used to personalize treatment plans for these patients, including by determining and considering their liver functional reserve LFR. Specifically, systems and methods are provided for using fLV (functional liver volume) and PHM (perfused hepatic mass), before and after treatment, to determine personalized treatment plans and improve overall survival rates.
Claims15
A system for increasing the overall survival for a liver disease patient, the system comprising:
- a functional scanner configured to generate functional image data of a liver of the patient;
- an image storage device in communication with the functional scanner, the image storage device being configured to receive and store the functional image data of the liver of the patient from the functional scanner;
- a memory configured to store specific computer-executable instructions;
- and
- one or more hardware computer processors in communication with the memory and configured to execute the specific computer-executable instructions to at least:
- receive the functional image data of the liver of the patient from the image storage device;
- access patient information from a patient information database over a wireless or wire-like connection;
- obtain parameters of a planned surgery or intervention, wherein the parameters include a margin volume indicative of functioning liver tissue to be eliminated during the planned surgery or intervention;
- automatically process and analyze the functional image data to determine a functional liver volume, wherein the functional image data comprises a stack of transaxial functional images that includes healthy functional tissue, tumor tissue, and non-functional non-tumor tissue, and wherein processing and analyzing the functional image data comprises generating a combined image from the stack of transaxial functional images and determining a volume represented by the healthy functional tissue excluding the tumor tissue and non-functional non-tumor tissue in the combined image;
- determine a pre-therapy liver functional reserve of the patient by determining a pre-therapy perfused hepatic mass index and a pre-therapy functional liver volume index;
- determine a post-therapy liver functional reserve of the patient by determining a post-therapy perfused hepatic mass index and a post-therapy functional liver volume index;
- determine a virulence of a liver disease of the patient;
- determine a recommended dose escalation factor by constructing a virulence-reserve matrix comprising the liver disease virulence and pre-therapy and post-therapy liver functional data;
- and
- provide a recommended plan for treating liver disease comprising escalation of a treatment dose when the dose escalation factor is greater than one or de-escalation of a treatment dose when the dose escalation factor is less than one.
12 more elements
A system for treating a patient having a liver disease, the system comprising one or more computer hardware processors configured to at least:
- receive functional image data of the liver of the patient that was generated by a functional scanner;
- access patient information from a patient information database over a wireless or wire-like connection;
- automatically process and analyze the functional image data to determine a functional liver volume (fLV), wherein the functional image data comprises a stack of transaxial functional images that includes healthy functional tissue, tumor tissue, and non-functional non-tumor tissue, and wherein processing and analyzing the functional image data comprises-generating a combined image from the stack of transaxial functional images and determining a volume represented by the healthy functional tissue excluding the tumor tissue and non-functional non-tumor tissue in the combined image;
- determine a liver functional reserve (LFR) of the liver of the patient as a function of a product of at least two independent variables derived from the functional image data, the at least two independent variables comprising a quantitative liver function including a perfused hepatic mass (PHM) and the fLV;
- and
- provide a recommended plan for treating liver disease comprising escalating or de-escalating a treatment based on the LFR, wherein the treatment comprises radiation therapy, embolization, ablation, or surgical resection.
3 more elements
A method for increasing the overall survival for a liver cancer patient, the method comprising:
- automatically processing and analyzing functional image data to determine a functional liver volume (fLV), wherein the functional image data comprises a stack of transaxial functional images that includes healthy functional tissue, tumor tissue, and non-functional non-tumor tissue, and wherein processing and analyzing the functional image data comprises generating a combined image from the stack of transaxial functional images and determining a volume represented by the healthy functional tissue excluding the tumor tissue and non-functional non-tumor tissue in the combined image;
- determining a liver functional reserve (LFR) of a liver of the patient as a function of at least two independent variables comprising a quantitative liver function including a perfused hepatic mass (PHM) and the fLV;
- determining a dose escalation factor (DEF), wherein DEF=PDV/DN, in which PDV is a personalized dose value based on the LFR and DN is a radiation dose absorbed by non-tumor liver tissue of the patient;
- and
- treating a patient for liver cancer by escalating a radiation-treatment dose when the DEF is greater than 1 or de-escalating the radiation treatment dose when the DEF is less than 1.
2 more elements
Dependencies are inferred from the claim text.