Magnetic Resonance Imaging-based Prostate Cancer Diagnosis Using Principal Component Analysis and Machine Learning Algorithms.

J Med Phys · 2026 · PMC13345050 · PMID 42422134

Europe PMC DOI

hedged sentence

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closest p · 0.0× alpha

0.0000

boldest claim

The sentences

highly significantP < 2.2 × 10 −16actually significant

Statistical analysis using an independent two-sample t -test (Welch’s correction) revealed a highly significant difference in mean PC1 values between the two groups ( P < 2.2 × 10 −16 ).

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