Pancreatic neuroendocrine tumors: correlation between histogram analysis of apparent diffusion coefficient maps and tumor grade.

Purpose: To explore the role of histogram analysis of apparent diffusion coefficient (ADC) MRI maps based on entire tumor volume data in determining pancreatic neuroendocrine tumor (PNT) grade.Methods and Materials: Retrospective evaluation of 22 patients with PNTs included low-grade (G1; n = 15), i...

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Published in:Abdominal Imaging Vol. 40; no. 8; pp. 3122 - 3129
Main Authors: Pereira, Jose, Rosado, Elsa, Bali, Maria, Metens, Thierry, Chao, Shih-Li, Pereira, Jose Antonio Sousa
Format: Journal Article
Published: Springer Nature Oct2015
Online Access:View this record in EBSCOhost
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      dt: Oct2015
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00261-015-0524-7
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        atl: Pancreatic neuroendocrine tumors: correlation between histogram analysis of apparent diffusion coefficient maps and tumor grade.
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        au:
          Pereira, Jose
          Rosado, Elsa
          Bali, Maria
          Metens, Thierry
          Chao, Shih-Li
          Pereira, Jose Antonio Sousa
        affil: Department of Radiology, Centro Hospitalar de Lisboa Central, Lisbon Portugal
      sug:
        subj:
          Pancreatic Neoplasms Pathology
          Neuroendocrine Tumors Pathology
          Magnetic Resonance Imaging
          Reproducibility of Results
          Image Interpretation, Computer Assisted
          Neoplasm Grading
          Pancreas Pathology
          Middle Age
          Adult
          Aged
          Male
          Sensitivity and Specificity
          Female
          Retrospective Design
          Middle Aged: 45-64 years
          Adult: 19-44 years
          Aged: 65+ years
          Male
          Female
      ab: Purpose: To explore the role of histogram analysis of apparent diffusion coefficient (ADC) MRI maps based on entire tumor volume data in determining pancreatic neuroendocrine tumor (PNT) grade.Methods and Materials: Retrospective evaluation of 22 patients with PNTs included low-grade (G1; n = 15), intermediate-grade (G2; n = 4), and high-grade (G3; n = 3) tumors. Regions of interest containing the lesion were drawn on every section of the ADC map containing the tumor and summated to obtain histograms for entire tumor volume. Calculated histographic parameters included mean ADC (mADC), 5th percentile ADC, 10th percentile ADC, 25th percentile ADC, 50th percentile ADC, 75th percentile ADC (ADC75), 90th percentile ADC (ADC90) and 95th percentile ADC (ADC95), skewness and kurtosis. Histogram parameters were correlated with tumor grade by repeated measures analysis of variance with Tukey-Kramer post hoc comparisons.Results: The mADC, ADC75, ADC90, and ADC95 were significantly higher in G1 tumors (1283 ± 267; 1404 ± 300; 1495 ± 318; 1562 ± 347 × 10(-6) mm(2)/s) compared to G2 (892 ± 390; 952 ± 381; 1036 ± 384; 1072 ± 374 × 10(-6) mm(2)/s) and to G3 tumors (733 ± 225; 864 ± 284; 1008 ± 288; 1152 ± 192 × 10(-6) mm(2)/s) (p value <0.05). Skewness and kurtosis were significantly different between G1 (0.041 ± 0.466; 2.802 ± 0.679) and G3 (1.01 ± 1.140; 5.963 ± 4.008) tumors (p value <0.05). Tumor volume (mL) was significantly higher on G3 (55 ± 15.7) compared to G1 (1.9 ± 2.7) and G2 (4.5 ± 3.6) tumors (p value <0.05). In this small sample size, we did not detect statistically significant parameters between G2 (n = 4) and G3 (n = 3) tumors.Conclusions: Histographic analysis of ADC maps on the basis of the entire tumor volume can be useful in differentiating histologic grades of PNTs.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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