Our presented QA-CTS task unifies the output format of the traditional CTS task and make the training data shareable, thus enriching the training data. All question-answer pairs are annotated and reviewed by four clinicians with three types of questions, namely tumor size, proximal resection margin and distal resection margin.  Experimental results on real-world dataset demonstrate that our proposed model competes favorably with strong baseline models in all three specific tasks. 
 Question: What are the specific tasks being unified?
 three types of questions, namely tumor size, proximal resection margin and distal resection margin