Embodiments generate an early stage NSCLC recurrence prognosis, and predict added benefit of adjuvant chemotherapy. Embodiments include processors configured to access a radiological image of a region of tissue demonstrating early stage NSCLC; segment a tumor represented in the radiological image; define a peritumoral region based on a morphological dilation of a boundary of the tumor; extract a radiomic signature that includes a set of tumoral radiomic features extracted from the tumoral region, and a set of peritumoral radiomic features extracted from the peritumoral region, based on a continuous time to event data; compute a radiomic score based on the radiomic signature; compute a probability of added benefit of adjuvant chemotherapy based on the radiomic score; and generate an NSCLC recurrence prognosis based on the radiomic score. Embodiments may display the radiomic score, or generate a personalized treatment plan based on the radiomic score.

A method for visualizing sub-pleural regions of an anatomical structure of interest from a set of volumetric data includes receiving the set of volumetric data representative of the anatomical structure. The anatomical structure can comprise an outer surface and a plurality of sub-pleural regions with each of the plurality of sub-pleural regions being a region of the anatomical structure which is distant from the outer surface by a corresponding sub-pleural depth. The method further includes determine a first sub-pleural region of the anatomical structure of interest and extracting, from the set of volumetric data, the portions of volumetric data representative of the first sub-pleural region. The method also includes rendering a display image based upon the first sub-pleural region and the extracted volumetric data.

There is provided a computer-implemented method and system (100) for determining regions of hyperdense lung parenchyma in an image of a lung. The system (100) comprises a memory (106) comprising instruction data representing a set of instructions and a processor (102) configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor (102), cause the processor (102) to locate a vessel in the image, determine a density of lung parenchyma in a region of the image that neighbours the located vessel, and determine whether the region of the image comprises hyperdense lung parenchyma based on the determined density, hyperdense lung parenchyma having a density greater than −800 HU.

Methods and apparatuses for identifying lung features are provided herein.

Systems and method for destroying or inhibiting cancer cells and other rapidly-dividing cells include applying AP magnetic fields having a defined frequency of 5 Hz-500 kHz and a field strength of 0.1-5000 μT to a target body area that includes the cancer or other rapidly-dividing cells, and modifying the cancer or tumor microenvironment to increase the presence of cancer-suppressive cells or decrease the presence of cancer-promoting cells. In various embodiments, the systems and methods may include adjusting the therapy based on ultrasound imaging of the cancer cells during the application of the AP magnetic fields or during a cessation of applying the AP magnetic fields.

Systems for destroying or inhibiting cancer cells and other rapidly-dividing cells including an alternating polarity (AP) magnetic field generator and at least one AP electromagnetic coil adapted to be coupled to a target body area, and a controller to control the AP magnetic field generator and at least one AP electromagnetic coil and cause the field generator and coil to apply AP magnetic field having a frequency of 0.5-500 kHz and a field strength of 0.5-5 mT to the target body area to achieve a desired inhibiting effect on cancer cells or other rapidly-dividing cells. Treatments provided by the system may be co-administered with an anti-cancer drug such as a chemotherapy drug, a hormone therapy drug, targeted therapy drugs, immunotherapy drugs, or an angiogenesis inhibitor drug.

A method for providing an item of conversion information describing an allocation rule of at least one physical property value of a material in a voxel relating to an image value of the voxel in a three-dimensional image dataset recorded with an X-ray apparatus is provided. By scanning a phantom including at least one calibration material in the X-ray apparatus, a calibration database that is used for determining the allocation rule is determined. The image dataset is recorded with a receiving spectrum geared to an X-ray detector of the X-ray apparatus. The receiving spectrum is described by at least one spectral parameter. For determining the allocation rule dependent upon the spectral parameter, calibration data derived from the measured calibration dataset describing different receiving spectra is used.

The present invention relates to methods and medicaments useful for treating idiopathic pulmonary fibrosis (IPF) by administering anti-CTGF antibodies. Methods for prognosing individuals with IPF are also provided.

Medical image data is identified, and a lung field region and an emphysema region in each of a plurality of tomographic images are extracted. A mechanism is provided, which is capable of calculating the ratio of the emphysema region to the lung field region, and displaying an image of the medical image data and a value representing the calculated ratio in association with each other.

A pulmonary embolism diagnosis support apparatus includes a hardware processor that: obtains a dynamic image of a chest of an examinee captured through radiographic dynamic imaging; analyzes blood flow in the dynamic image to generate blood flow information; generates background lungs information regarding background lungs of the examinee; automatically generates diagnosis support information regarding pulmonary embolism, based on the blood flow information and the background lungs information; and outputs the diagnosis support information regarding pulmonary embolism.