You could start with using Dataset's group_dataset
method to return the data elements in the 7053 group. Then iterate through that group dataset using a FF mask with python binary AND ("&" operator) (untested, `data_elem.tag & 0xFF == 0`) to find the ones that are an exact match to the xx00. There are similar methods to deal with what pydicom calls "repeaters" near the top of datadict.py
, although likely a little more complex there than what you need as it is generalized for the "x"'s in any location.
Also, you could look at the private data element handling built into pydicom
, which could also be helpful to navigate these more elegantly.