Abstract: A method for implementing a radiation therapy knowledge exchange starts with searching a database of cases studies and selecting a case study. The selected case study is downloaded. The downloaded case study is applied to a medical case, wherein the downloaded case is applied using deformable image registration to deform reference images of the downloaded case to medical images of the medical case. After application of the downloaded case study, the medical case is uploaded to the network, wherein uploading the medical case allows at least the submitting clinician to download, review, and edit at least a portion of the medical case to create a reviewed medical case. Finally, the reviewed medical case is downloaded and applied to the medical case to create a final medical case.

Abstract: In radiation therapy, treatment objectives applicable to different identified structures in a patient's body (e.g., a target structure and an organ at risk (OAR)) may conflict due to overlap between the structures. Automated systems and methods can detect and resolve such conflicts. For example, a set of modified regions that do not overlap with each other can be defined, and a modified treatment objective for each modified region can be determined based on the original treatment objectives. The modified regions and modified treatment objectives can be used in treatment planning processes.

Abstract: A system generally includes at least one computing device having a user interface and a display interface. The computing device is configured to generate at least one desktop that can be viewed by a user via the display interface and to access a plurality of functionality modules that are each configured to receive at least one radiotherapy parameter. The computing device is configured to enable the user, via the user interface, to place the functionality modules onto the desktop. The computing device is configured to enable the user, via the user interface, to connect one of the placed functionality modules to at least another one to commence the generation of at least one workflow output. The computing device is also configured to enable the user, via the user interface, to connect a plurality of input components to the placed functionality modules to finalize the generation of the workflow output.

Abstract: A method for implementing a radiation therapy knowledge exchange starts with searching a database of cases studies and selecting a case study. The selected case study is downloaded. The downloaded case study is applied to a medical case, wherein the downloaded case is applied using deformable image registration to deform reference images of the downloaded case to medical images of the medical case. After application of the downloaded case study, the medical case is uploaded to the network, wherein uploading the medical case allows at least the submitting clinician to download, review, and edit at least a portion of the medical case to create a reviewed medical case. Finally, the reviewed medical case is downloaded and applied to the medical case to create a final medical case.

Abstract: Studies have consistently shown that the better patients are monitored the higher the recovery and survival rates. Due to legal & technical constraints, high quality monitoring of patients has been limited to hospitals and other care facilities. However, with the aide of the systems disclosed herein, high quality patient monitoring can be extended outside of these care facilities and thereby further increase recovery and survival rates in patients not confined to healthcare facilities. This is particularly relevant in the monitoring and treatment of chronic illnesses, for example with cancer treatment.

Abstract: A control circuit facilitates providing a user interface to facilitate developing a radiation-treatment plan for a given patient, the user interface comprising, at least in part, an opportunity to select an automated multi-step radiation-treatment plan development capability. Upon detecting a user's selection of this automated multi-step radiation-treatment plan development capability, these teachings then provide for automatically carrying out a plurality of steps wherein at least some of the plurality of steps pertain to other than optimizing a radiation dosing. These steps are carried out without requiring further interaction with the user and yield at least one output radiation-treatment plan that is specific to the given patient and that is administrable as yielded.

Abstract: In radiation therapy, treatment objectives applicable to different identified structures in a patient's body (e.g., a target structure and an organ at risk (OAR)) may conflict due to overlap between the structures. Automated systems and methods can detect and resolve such conflicts. For example, a set of modified regions that do not overlap with each other can be defined, and a modified treatment objective for each modified region can be determined based on the original treatment objectives. The modified regions and modified treatment objectives can be used in treatment planning processes.

Abstract: A method for implementing a radiation therapy knowledge exchange starts with searching a database of cases studies and selecting a case study. The selected case study is downloaded. The downloaded case study is applied to a medical case, wherein the downloaded case is applied using deformable image registration to deform reference images of the downloaded case to medical images of the medical case. After application of the downloaded case study, the medical case is uploaded to the network, wherein uploading the medical case allows at least the submitting clinician to download, review, and edit at least a portion of the medical case to create a reviewed medical case. Finally, the reviewed medical case is downloaded and applied to the medical case to create a final medical case.

Abstract: A system generally includes at least one computing device having a user interface and a display interface. The computing device is configured to generate at least one desktop that can be viewed by a user via the display interface and to access a plurality of functionality modules that are each configured to receive at least one radiotherapy parameter. The computing device is configured to enable the user, via the user interface, to place the functionality modules onto the desktop. The computing device is configured to enable the user, via the user interface, to connect one of the placed functionality modules to at least another one to commence the generation of at least one workflow output. The computing device is also configured to enable the user, via the user interface, to connect a plurality of input components to the placed functionality modules to finalize the generation of the workflow output.

Abstract: Knowledge-based radiotherapy treatment planning is expanded to include spatial information from, for example, positron emission tomography (PET). Information that is specific to a patient is accessed. A prediction of a spatial dose distribution inside a target volume in the patient is determined using the patient-specific information as an input to a prediction model. The prediction model is established using training data that includes data resulting from applying other radiation treatment plans to other patients. The training data includes spatially distributed information indicating a level of activity in target volumes in the other patients (e.g., PET image data). A dose-volume histogram and associated three-dimensional dose distribution information based on the prediction are produced. The dose-volume histogram and the three-dimensional dose distribution information can be used to develop a radiation treatment plan for the patient.

Abstract: A control circuit facilitates providing a user interface to facilitate developing a radiation-treatment plan for a given patient, the user interface comprising, at least in part, an opportunity to select an automated multi-step radiation-treatment plan development capability. Upon detecting a user's selection of this automated multi-step radiation-treatment plan development capability, these teachings then provide for automatically carrying out a plurality of steps wherein at least some of the plurality of steps pertain to other than optimizing a radiation dosing. These steps are carried out without requiring further interaction with the user and yield at least one output radiation-treatment plan that is specific to the given patient and that is administrable as yielded.

Abstract: One accesses information regarding the functionality of portions of the patient's body and then uses that information to optimize a radiation-treatment plan to treat a target portion of the patient's body while minimizing at least some collateral radiation-based damage to non-targeted functional portions of the patient's body. By one approach, the aforementioned information can comprise a functionality model as pertains to at least some portions of the patient's body. As one example in these regards, this can comprise optimizing the radiation-treatment plan such that the planned radiation beams tend to pass through non-targeted less-functional portions of the patient's body rather than through non-targeted portions of the patient's body of greater functionality.

Abstract: Systems and methods for providing radiosurgery treatment to a patient by combining methods from both traditional radiosurgery and radiotherapy are disclosed. A dose sufficient to kill tissue is applied to a target area while a steep drop off, or gradient, is provided at the border between the target area and adjacent areas so that other portions of the brain or nearby structures or organs are not damaged. The treatment plan is optimized by using both measures known in the art along with a new gradient index or curve that indicates the amount of the drop off at the border between the target area and the surrounding tissues.

Abstract: A method for implementing a radiation therapy knowledge exchange starts with searching a database of cases studies and selecting a case study. The selected case study is downloaded. The downloaded case study is applied to a medical case, wherein the downloaded case is applied using deformable image registration to deform reference images of the downloaded case to medical images of the medical case. After application of the downloaded case study, the medical case is uploaded to the network, wherein uploading the medical case allows at least the submitting clinician to download, review, and edit at least a portion of the medical case to create a reviewed medical case. Finally, the reviewed medical case is downloaded and applied to the medical case to create a final medical case.

Abstract: Systems and methods for providing radiosurgery treatment to a patient by combining methods from both traditional radiosurgery and radiotherapy are disclosed. A dose sufficient to kill tissue is applied to a target area while a steep drop off, or gradient, is provided at the border between the target area and adjacent areas so that other portions of the brain or nearby structures or organs are not damaged. The treatment plan is optimized by using both measures known in the art along with a new gradient index or curve that indicates the amount of the drop off at the border between the target area and the surrounding tissues.

Abstract: Systems and methods for providing radiosurgery treatment to a patient by combining methods from both traditional radiosurgery and radiotherapy are disclosed. A dose sufficient to kill tissue is applied to a target area while a steep drop off, or gradient, is provided at the border between the target area and adjacent areas so that other portions of the brain or nearby structures or organs are not damaged. The treatment plan is optimized by using both measures known in the art along with a new gradient index or curve that indicates the amount of the drop off at the border between the target area and the surrounding tissues.

Abstract: One accesses information regarding the functionality of portions of the patient's body and then uses that information to optimize a radiation-treatment plan to treat a target portion of the patient's body while minimizing at least some collateral radiation-based damage to non-targeted functional portions of the patient's body. By one approach, the aforementioned information can comprise a functionality model as pertains to at least some portions of the patient's body. As one example in these regards, this can comprise optimizing the radiation-treatment plan such that the planned radiation beams tend to pass through non-targeted less-functional portions of the patient's body rather than through non-targeted portions of the patient's body of greater functionality.

Abstract: Systems and methods for providing radiosurgery treatment to a patient by combining methods from both traditional radiosurgery and radiotherapy are disclosed. A dose sufficient to kill tissue is applied to a target area while a steep drop off, or gradient, is provided at the border between the target area and adjacent areas so that other portions of the brain or nearby structures or organs are not damaged. The treatment plan is optimized by using both measures known in the art along with a new gradient index or curve that indicates the amount of the drop off at the border between the target area and the surrounding tissues.

Abstract: A faster power control method especially of use in case of a UE device communicating with a SAP (e.g. a Node B) of a UTRAN via E-DCH, where instead of the SAP (e.g. a Node B) receiving from the serving RNC a new SIR target to use because of changing channel conditions in what is called outer loop power control, the SAP instead receives a BLER target or a target value for some other indicator of channel quality to use as a guide for determining, by itself, an appropriate SIR target.

Abstract: A faster power control method especially of use in case of a UE device communicating with a SAP (e.g. a Node B) of a UTRAN via E-DCH, where instead of the SAP (e.g. a Node B) receiving from the serving RNC a new SIR target to use because of changing channel conditions in what is called outer loop power control, the SAP instead receives a BLER target or a target value for some other indicator of channel quality (such as a new-data indicator value of EUPA) to use as a guide for determining, by itself, an appropriate SIR target.