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In this page, you can find some screenshots from CaReRa-Web. You can login to "Demo" version, using "demo / demo" as account name and password. Once you login using demo account, there are two options: Browser and Data Upload. Browser allows you to browse (view) submitted patients. Currently, you can perform conventional search using keywords. The search engine, being developed at CaReRa project, that uses a case as a query will be accesible from this page. Data Upload allows you to upload a new patient to CaReRaWeb. The "Demo" user has limited access and authorization for demonstration of the system.

1. Data Upload

On the right hand side, a list of required fields are displayed. Whenever a required field is filled with some data, a green check mark (otherwise a red cross mark) is shown. Once the radiologist provides information about all required fields, the patient can be submitted. Otherwise, the patient information is saved and can be completed later.


In this tab, patient information (demographic, regular drugs, past and chronic diseases, surgeries and genetic diseases) is provided.
Past and chronic diseases of a patient are listed. Note that diseases are provided using ICD-10 codes. Other diseases are listed as free text.


In this tab, patient complaints, physical examination results, prediagnosis, currently used non-regular drugs, diagnosis and laboratory results are provided.
Physical examination results are listed. The radiologist's observation is that the patient has "Jaundice" and "Ascites".


In this tab, imaging observations of liver are described. All the imaging observation fields and values are automatically retrieved from ONLIRA.
In this figure, the radiologist reports that the liver position in the body is normal and the liver contour is regular.


In this tab, imaging observations of lesions are described. A DICOM viewer is integrated to CaReRaWeb. The DICOM image is visualized and a rectangular area where the lesion is observed is marked by the radiologist. Then, imaging observations of marked lesion are specified. All the imaging observation fields and values are automatically retrieved from ONLIRA.
In this figure, marked rectangular area contains multiple lesions that are located at Segment 8 in the right lobe of the liver. The size of the largest lesion in this area is measured as 21x20mm. This lesion is not adjacent to gallbladder.

2. Browser

The radiologist can search in all submitted patients by providing some keywords. Another option is to list all submitted patients.
For this particular patient, there are three segmentations and the third segmentation is marked with a red rectangular area. Patient, study, series and pathology information can be displayed for each of these segmentations.