scholarly journals Salivary gland carcinoma: Prediction of cancer death risk based on apparent diffusion coefficient histogram profiles

PLoS ONE ◽  
2018 ◽  
Vol 13 (7) ◽  
pp. e0200291 ◽  
Author(s):  
Misa Sumi ◽  
Takashi Nakamura
Keyword(s):  
Diffusion Coefficient ◽  
Salivary Gland ◽  
Apparent Diffusion Coefficient ◽  
Cancer Death ◽  
Salivary Gland Carcinoma ◽  
Death Risk ◽  
Apparent Diffusion ◽  
Gland Carcinoma

Differentiation of Malignant Salivary Gland Tumors from Pleomorphic Adenomas and Warthin’s Tumors: Combined Diagnostic Value of Tumor Blood Flow and Apparent Diffusion Coefficient by Histogram Analysis

2021 ◽  
Author(s):  
Fumine Tanaka ◽  
Maki Umino ◽  
Masayuki Maeda ◽  
Ryohei Nakayama ◽  
Katsuhiro Inoue ◽  
...  
Keyword(s):  
Blood Flow ◽  
Diffusion Coefficient ◽  
Salivary Gland ◽  
Apparent Diffusion Coefficient ◽  
Curve Analysis ◽  
Tumor Blood Flow ◽  
Roc Curve Analysis ◽  
Pleomorphic Adenomas ◽  
Apparent Diffusion ◽  
The Mean

Abstract We aimed to evaluate the usefulness of tumor blood flow (TBF) obtained by pseudocontinuous arterial spin labeling (pCASL) and apparent diffusion coefficient (ADC) for differentiating salivary gland malignant tumors (MTs) from pleomorphic adenomas (PAs) and Warthin’s tumors (WTs). We used pCASL imaging and ADC map to evaluate 65 patients, including 16 with MT, 30 with PA, and 19 with WT. We evaluated all tumors by histogram analyses and compared various characteristics by one-way analysis of variance followed by Tukey post-hoc tests. Diagnostic performance was evaluated by receiver operating characteristic (ROC) curve analysis. There were significant differences in the mean, 50th, 75th, and 90th percentiles of TBF among the tumor types, in the mean TBFs (ml/100g/min) between MTs (57.47 ± 35.14) and PAs (29.88 ± 22.53, p = 0.039) and between MTs and WTs (119.31 ± 50.11, p < 0.001), as well as in the mean ADCs (×10− 3 mm2/sec) between MTs (1.08 ± 0.28) and PAs (1.60 ± 0.34, p < 0.001), but not in the mean ADCs between MTs and WTs (0.87 ± 0.23, p = 0.117). In the ROC curve analysis, the highest areas under the curves (AUCs) were achieved by the 10th and 25th percentiles of ADC (AUC = 0.885) for differentiating MTs from PAs and the 50th percentile of TBF (AUC = 0.855) for differentiating MTs from WTs. The AUCs of TBF, ADC, and combination of TBF and ADC were 0.850, 0.885, and 0.950 for MT and PA differentiation and 0.855, 0.814, and 0.905 for MT and WT differentiation, respectively. The combination of TBF and ADC evaluated by histogram analysis helped differentiate salivary gland MTs from PAs and WTs.

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