בשל "הגנת זכויות יוצרים" מובא להלן קישור לתקציר המאמר. לקריאתו בטקסט מלא, אנא פנה/י לספרייה הרפואית הזמינה לך. 

We developed and validate a nomogram to detect improved knee pain in osteoarthritis (OA) by integrating magnetic resonance imaging (MRI) radiomics signature of subchondral bone and clinical characteristics.

Participants were selected from the Vitamin D Effects on Osteoarthritis (VIDEO) study.

The primary outcome was 20% improvement of knee pain score over 2 years in participants administrated either vitamin D or placebo.

Radiomics features of subchondral bone and clinical characteristics from 216 participants were extracted and analyzed. The participants were randomly split into the training and validation cohorts at a ratio of 8:2.

Least absolute shrinkage and selection operator (LASSO) regression was used to select features and generate radiomics signatures. The optimal radiomics signature and clinical indicators were fitted into a nomogram using multivariable logistic regression model.