Department of Radiology and Cancer Biology, Nagasaki University School of Dentistry, Japan.
AJNR Am J Neuroradiol. 2011 Jun-Jul;32(6):1100-6. doi: 10.3174/ajnr.A2434. Epub 2011 Mar 10.
CT and MR imaging features of benign and malignant sinonasal lesions are often nonspecific. Therefore, we evaluated the ADC-based differentiation of these lesions.
We retrospectively assessed ADCs of 61 patients with histologically proved sinonasal tumors and tumorlike lesions: 19 benign lesions, 28 malignant tumors, and 14 inflammatory lesions. Overall ADCs and percentages of total tumor area with extremely low, low, intermediate, or high ADCs (ADC mapping) were determined by using 2 b-values (500 and 1000 s/mm(2)).
ADCs of malignant tumors (0.87 ± 0.32 × 10(-3) mm(2)/s) were significantly lower than those of benign (1.35 ± 0.29 × 10(-3) mm(2)/s, P < .0001) and inflammatory (1.50 ± 0.50 × 10(-3) mm(2)/s, P = .0002) lesions. On ADC mapping, percentages of total tumor area within malignant tumors having extremely low or low ADCs were significantly (P < .0001) greater than those within benign and inflammatory lesions. Cutoff points for ADC mapping (≥78% of tumor areas having extremely low or low ADCs) effectively differentiated benign or inflammatory lesions and malignant tumors with 75% sensitivity, 94% specificity, 85% accuracy, and 91% positive and 82% negative predictive values, respectively. ADCs also effectively discriminated lymphomas and SCCs from other malignant tumors.
ADC mapping may be an effective MR imaging tool for the differentiation of benign/inflammatory lesions from malignant tumors in the sinonasal area.
CT 和 MR 成像在诊断良恶性鼻窦病变时特征通常不具有特异性。因此,我们评估了基于 ADC 值对这些病变的鉴别诊断能力。
回顾性分析了 61 例经组织学证实的鼻窦肿瘤和肿瘤样病变患者的 ADC 值:19 例良性病变、28 例恶性肿瘤和 14 例炎症性病变。通过使用 2 个 b 值(500 和 1000 s/mm2),测定总体 ADC 值和肿瘤内总区域具有极低、低、中等或高 ADC 值的百分比(ADC 图)。
恶性肿瘤的 ADC 值(0.87 ± 0.32×10(-3)mm(2)/s)明显低于良性肿瘤(1.35 ± 0.29×10(-3)mm(2)/s,P<0.0001)和炎症性病变(1.50 ± 0.50×10(-3)mm(2)/s,P=0.0002)。在 ADC 图上,恶性肿瘤内总肿瘤区域具有极低或低 ADC 值的比例明显大于良性和炎症性病变(P<0.0001)。ADC 图的截断值(肿瘤区域中具有极低或低 ADC 值的比例≥78%)能有效鉴别良性或炎症性病变与恶性肿瘤,其敏感度为 75%,特异度为 94%,准确率为 85%,阳性预测值为 91%,阴性预测值为 82%。ADC 值还可有效鉴别淋巴瘤和 SCC 与其他恶性肿瘤。
ADC 图可能是一种有效的鼻窦良恶性病变鉴别诊断的 MR 成像工具。