Abstract: Virtually every cancer patient is imaged with CT, PET or MRI. Importantly, such imaging reveals that tumors are complex and heterogeneous, often containing multiple habitats within them. Disclosed herein are methods for analyzing these images to infer cellular and molecular structure in each of these habitats. The methods can involve spatially superimposing two or more radiological images of the tumor sufficient to define regional habitat variations in two or more ecological dynamics in the tumor, and comparing the habitat variations to one or more controls to predict the severity of the tumor.

Abstract: An example method for analyzing quantitative information obtained from radiological images includes identifying a ROI or a VOI in a radiological image, segmenting the ROI or the VOI from the radiological image and extracting quantitative features that describe the ROI or the VOI. The method also includes creating a radiological image record including the quantitative features, imaging parameters of the radiological image and clinical parameters and storing the radiological image record in a data structure containing a plurality of radiological image records. In addition, the method includes receiving a request with the patient's radiological image or information related thereto, analyzing the data structure to determine a statistical relationship between the request and the radiological image records and generating a patient report with a diagnosis, a prognosis or a recommended treatment regimen for the patient's disease based on a result of analyzing the data structure.

Abstract: A method of treating cancer or inhibiting metastasis in a subject by increasing intratumoral extracellular pH is presented. The method includes administering to the subject a therapeutically effective amount of a buffer having a pKa greater than 6.1. In an advantageous embodiment the pKa of the buffer is about 7.0. Examples of buffers for increasing extracellular pH include NaHCO3, 2-imidazole-1-yl-3-ethoxycarbonylpropionic acid (IEPA), cholamine chloride, N,N-Bis(2-hydroxyethyl)-2-aminoethanesulfonic acid (BES), N-Tris(hydroxymethyl)methyl-2-aminoethanesulfonic acid (TES) and 4-(2-Hydroxyethyl)piperazine-1-ethanesulfonic acid (HEPES). The method can further include the step of pretreating with one or more chemotherapeutic agents.

Abstract: An example method for analyzing quantitative information obtained from radiological images includes identifying a ROI or a VOI in a radiological image, segmenting the ROI or the VOI from the radiological image and extracting quantitative features that describe the ROI or the VOI. The method also includes creating a radiological image record including the quantitative features, imaging parameters of the radiological image and clinical parameters and storing the radiological image record in a data structure containing a plurality of radiological image records. In addition, the method includes receiving a request with the patient's radiological image or information related thereto, analyzing the data structure to determine a statistical relationship between the request and the radiological image records and generating a patient report with a diagnosis, a prognosis or a recommended treatment regimen for the patient's disease based on a result of analyzing the data structure.

Abstract: An example method for analyzing quantitative information obtained from radiological images includes identifying a ROI or a VOI in a radiological image, segmenting the ROI or the VOI from the radiological image and extracting quantitative features that describe the ROI or the VOI. The method also includes creating a radiological image record including the quantitative features, imaging parameters of the radiological image and clinical parameters and storing the radiological image record in a data structure containing a plurality of radiological image records. In addition, the method includes receiving a request with the patient's radiological image or information related thereto, analyzing the data structure to determine a statistical relationship between the request and the radiological image records and generating a patient report with a diagnosis, a prognosis or a recommended treatment regimen for the patient's disease based on a result of analyzing the data structure.

Abstract: Virtually every cancer patient is imaged with CT, PET or MRI. Importantly, such imaging reveals that tumors are complex and heterogeneous, often containing multiple habitats within them. Disclosed herein are methods for analyzing these images to infer cellular and molecular structure in each of these habitats. The methods can involve spatially superimposing two or more radiological images of the tumor sufficient to define regional habitat variations in two or more ecological dynamics in the tumor, and comparing the habitat variations to one or more controls to predict the severity of the tumor.

Abstract: An example method for analyzing quantitative information obtained from radiological images includes identifying a ROI or a VOI in a radiological image, segmenting the ROI or the VOI from the radiological image and extracting quantitative features that describe the ROI or the VOI. The method also includes creating a radiological image record including the quantitative features, imaging parameters of the radiological image and clinical parameters and storing the radiological image record in a data structure containing a plurality of radiological image records. In addition, the method includes receiving a request with the patient's radiological image or information related thereto, analyzing the data structure to determine a statistical relationship between the request and the radiological image records and generating a patient report with a diagnosis, a prognosis or a recommended treatment regimen for the patient's disease based on a result of analyzing the data structure.

Abstract: A method of treating cancer or inhibiting metastasis in a subject by increasing intratumoral extracellular pH is presented. The method includes administering to the subject a therapeutically effective amount of a buffer having a pKa greater than 6.1. In an advantageous embodiment the pKa of the buffer is about 7.0. Examples of buffers for increasing extracellular pH include NaHCO3, 2-imidazole-1-yl-3-ethoxycarbonylpropionic acid (IEPA), cholamine chloride, N,N-Bis(2-hydroxyethyl)-2-aminoethanesulfonic acid (BES), N-Tris(hydroxymethyl)methyl-2-aminoethanesulfonic acid (TES) and 4-(2-Hydroxyethyl)piperazine-1-ethanesulfonic acid (HEPES). The method can further include the step of pretreating with one or more chemotherapeutic agents.

Abstract: The present invention provides methods of treating proliferative disorders in vivo by the direct administration of tritium to target cell nuclei. Tritium is administered to target cell nuclei by a tritiated nuclear targeting agent, which is directed to the target cell nucleus where it associates with the cell's DNA. The close association of the tritiated nuclear targeting agent with the target cell DNA allows the low-energy beta particle emitted by the tritium to damage to the target cell DNA and kill the cell. Tritiated nuclear targeting agents can also be delivered to the target cells by structures such as liposomes, micelles and microcapsules.

Abstract: The present invention is directed toward methods for the reduction of the severity of symptoms resulting from tumors, such as pain induced by the pressure exerted on a nerve by the tumor mass. Additionally, methods for the reduction of tumor size are also contemplated.