Well, the lungs are composed of five lobes. However, the ability to analyze data requires strict segmentation. And analyzing CT scan results would require a specific level of rules. For modelling purposes one would want to compare against other similar profiles.

One hears about "big data" today. Big data is a term that refers to large, diverse, and complex sets of information that are created and collected at high speeds from various sources. Big data can be structured, semi structured, or unstructured, and it challenges traditional database management tools. Big data can be analyzed for insights that improve decisions and enable advanced analytics applications such as machine learning and predictive modeling.
This is a new and evolving concept that has different meanings and implications for different fields and purposes.

@vic83 and @nonobaddog, I completely agree. My analytical side would love for all the reports to be easily compared, and somewhat standardized. I believe you'll generally see more standardization in breast imaging than in most other areas, partly due to regulatory requirements. The CT Chest, Abdomen, Pelvis reports cover a lot of the human body, and our complicated (IE. cancer filled) bodies aren't standard and don't always fit into the medical standard box either. I'm usually surprised to see some note about a condition that I don't think I have (diverticulitis was on the last set of scans, surprise!), I generally wait for the next scan to see if the radiologist notes the same findings. It's like scan roulette...what will they come up with next. After years of dealing with this I can shake it off, but I know it can be concerning for others.