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. 2024 Oct 31;17(11):1458. doi: 10.3390/ph17111458

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© 2024 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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Figure A2 — PCA biplot visualizing the relationships among skeletal VOIs based on their peak SUV values. Different colors indicate the three radioligands, and arrows show the direction and magnitude of the VOI contributions to the principal components. The length of each vector represents the importance of the corresponding VOI in the PCA, with longer vectors indicating a greater contribution to the variance. The direction of the vectors indicates how each VOI is related to the principal components, with similar directions suggesting similar patterns of variation.