ライフサイエンスコーパス: mpMRI

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1 mpMRI is an imaging technology with high imaging resolut

2 on of significant cancers; AUC 0.76 vs 0.63 (mpMRI + PSA).

3 measured in men undergoing re-biopsy with an mpMRI image-guided transperineal approach (n = 279, 94 w

4 ad an NPV of 68% and an accuracy of 75%, and mpMRI had an NPV of 88% and an accuracy of 73% for total

5 (19 low, 18 intermediate, 15 high risk), and mpMRI-assigned risk was a strong predictor of final path

6 f multiparametric transrectal ultrasound and mpMRI is of paramount importance.

7 A total of 52 lesions were identified by mpMRI (19 low, 18 intermediate, 15 high risk), and mpMRI

8 greement analysis of (18)F-PSMA-1007 PET/CT, mpMRI, and RP specimens was performed by dividing the pr

9 r (18)F-PSMA-1007 PET/CT and 91% and 87% for mpMRI, respectively.

10 combining central tendency and heterogeneity mpMRI features is promising for non-invasive HCC charact

11 multiparametric magnetic resonance imaging (mpMRI), and to report preliminary data correlating quant

12 In mpMRI negative men, the PHI again improved prediction of

13 In mpMRI, these advantages consist of multiple sequences co

14 F-choline PET/CT and multiparametric 3T MRI (mpMRI) of the pelvis were performed in 36 subjects with

15 se by comparing it with multiparametric MRI (mpMRI) and radical prostatectomy (RP) histopathology.

16 ities in focal therapy, multiparametric MRI (mpMRI) and ultrasonography.

17 Both multi-parametric MRI (mpMRI) and the Prostate Health Index (PHI) have shown pr

18 mining re-biopsy need in men with a negative mpMRI.

19 Retrospective combination of mpMRI and PET/CT had an accuracy of 81% for total and 93

20 prediction of Gleason >/= 3 + 4 cancers over mpMRI alone (area under the curve = 0.92; P < 0.001).

21 At a threshold of >/=35, PHI + mpMRI demonstrated a NPV of 0.97 for excluding significa

22 o was used, the addition of (18)F-choline to mpMRI significantly improved the prediction of Gleason >

23 r prediction (AUC 0.71 and 0.75) compared to mpMRI + PSA alone (AUC 0.64 and 0.69 respectively).

24 The addition of (18)F-choline PET to mpMRI improves the identification of significant prostat

25 In this study adding PHI to mpMRI improved overall and significant cancer prediction

26 PHI was assessed for ability to add value to mpMRI in predicting all or only significant cancers (Gle

27 o HCC patients with 39 HCC lesions underwent mpMRI including diffusion-weighted imaging (DWI), blood-

28 Nine patients underwent mpMRI in the process of primary diagnosis.

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