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Updated: Jun 21, 2026

Basics of Multivariate Analysis in Neuroimaging Data
Published on: July 25, 2010
Novel model of the region of interest modified Mayo Adhesive Probability score
Yasukazu Nakanishi1,2, Naoki Imasato3, Ryo Andy Ogasawara3
1Department of Urology, National Cancer Center Hospital East, Chiba, Japan. yanakani@east.ncc.go.jp.
Purpose:
To evaluate the association between the newly developed region of interest (ROI)-modified Mayo Adhesive Probability (MAP) score, in which stranding was re-evaluated by computed tomography (CT) number, for predicting operation time in robot-assisted partial nephrectomy (RAPN).
Methods:
The study participants were 119 patients who underwent transperitoneal RAPN. With regard to stranding, ROIs were evaluated, and the mean CT numbers were assigned a score ranging from 0 to 3. Clinical variables were evaluated in a multivariate logistic regression analysis in relation to prolonged operation time.
Results:
The percentage of patients with score ≥ 3 by MAP score alone was significantly higher than those of patients with score ≥ 3 by ROI-modified MAP score alone (26.8% vs. 13.4%, p < 0.001). Multivariate analysis revealed no independent association with the MAP score. On the other hand, for ROI-modified MAP score, score ≥ 3 was an independent factor for prolonged operation time (OR = 4.28, p = 0.0032) along with body mass index (BMI) ≥ 22 (OR = 4.46, p = 0.01), R.E.N.A.L. nephrometry score ≥ 7 (OR = 4.12, p = 0.0047), posterior tumor location (OR = 2.85, p = 0.036), and clinical T stage ≥ 1b (OR = 6.19, p = 0.0044). Regarding the predictive performance, the accuracy of the ROI-modified MAP score was significantly higher than the MAP score (area under the curve [AUC] value: 0.652 vs. 0.721, p = 0.034).
Conclusion:
The ROI-modified MAP score was a more relevant factor regarding operation time, suggesting that it might be a better preoperative predictor.

