Renal Cyst Complex Clinical Trial
Official title:
The Potential of Radiomics to Differentiate Between Malignant and Benign Bosniak 3 Renal Cysts.
More than 200,000 new cases of renal cancer are diagnosed in the world each year, with more
than 63,000 new cases in Europe alone. Of those, renal cell carcinoma (RCC) is the most
common type in adults, making up more than 90% of the cases. Deciding on the benign or
malignant nature of some RCC on the basis of medical images (CT, MRI, US) is an issue, which
often leads to unnecessary surgery, morbidity and costs.
A categorization for renal cysts was introduced in the late 1980s known as the Bosniak
classification. The Bosniak classification system classifies them into groups that are benign
(I and II) and those that need surgical resection (III and IV), based on specific imaging
features. However, defining the malignancy of category III lesions still remains a challenge.
Though Bosniak classification for renal cysts is used worldwide and underwent a number of
modifications, Bosniak III cysts still have almost a 1:1 chance of being malignant. So the
problem is that approximately half of the Bosniak category III cystic lesions prove to be
benign after surgery.
The proposed project aims to develop a quantitative image analysis (QIA) based multifactorial
decision support system (mDSS) capable of classifying renal cysts with high accuracy into
benign or malignant status, thus reducing the amount of unnecessary surgeries performed.
Using standard-of-care CT images and clinical parameters, the customized DSS will then guide
experts in planning a safe and effective diagnostic and treatment strategy for all RCC
patients.
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