The liver is the largest organ of the body. Each segment - lobule - has its own vascular inflow, outflow and biliary drainage. Each lobule is considered to be the liver's independently functional unit.
Liver resection as a treatment for liver tumors, indeed, is not new to complexity due to its complex vascular structures, and lesion location at liver lobules.
Lesions can nest in one or more lobules.
Therefore, understanding precise anatomical liver architecture is a topic of utmost importance, especially the lobule location, while interpreting medical images before treatment decisions.
It plays as premises for analysis, diagnosis, treatment planning and execution such as hepatectomy. Finally, it requires surveillance, follow-up, and assessment after treatment.
Apart from hepatic vessel segmentation that was introduced in June 2023, DrAid™ CT Liver Cancer D&T utilizes AI to automatically segment eight lobules of the liver, according to Couinaud classification of hepatic segments.
These features of DrAid™ CT Liver Cancer D&T help oncologists quickly localize eight liver lobules.
Particularly, AI technology will visually analyze the positions and detailed size of the tumor between liver lobules, and evaluate the relationship between the tumor and different parts of the liver, based on the segments. It plays as a foundation to provide necessary information for indications for hepatectomy, tumor chemical embolization (TACE), some other methods and post-treatment evaluation.