# Can a repeated measures ANOVA be applied to non-time-series data?

Good Evening :) I am currently analysing data in which I have thickness measurements for different subfields of the same tissue at one timepoint. So basically my data looks like this:

Pat_ID | Thickness_1 | Thickness_2 | ... | Thickness_n
--------------------------------------------------------
AB001  |        20.1 |        34.2 | ... |        12.3
AB002  |        17.4 |        36.2 | ... |        19.3
AB003  |        26.5 |        31.5 | ... |        14.4


A coworker suggested using repeated measures ANOVA to investigate whether there are significant differences between the subfields based on the possibility to do so in GraphPad Prism. However, my gut feeling tells me that our data is not suited for the test. It might have the same structure as time-series data, the rows are independent while the columns are not, but the order of columns is completely arbitrary and does not reflect any time-axis.

I was unable to find a definitive answer to this since all search results deal with time-series data. Can anyone pinpoint me to some literature or answer to this topic?

Cheers!