Texture analysis of conventional magnetic resonance imaging and diffusion-weighted imaging for distinguishing sinonasal non-Hodgkin’s lymphoma from squamous cell carcinoma

Abstract

Background: To evaluate the value of texture analysis (TA) of conventional magnetic resonance imaging (MRI) and diffusion-weighted imaging (DWI) in the differential diagnosis between sinonasal non-Hodgkin's lymphoma (NHL) and squamous cell carcinoma (SCC).Methods: Twenty-one patients with sinonasal SCC and 15 patients with NHL were retrospectively enrolled. TAs were performed on T2-weighted image (T2WI), apparent diffusion coe cient (ADC) and contrast-enhanced T1-weighted image (T1WI). Texture parameters, including mean value, skewness, kurtosis, entropy and uniformity were obtained and compared between sinonasal SCC and NHL groups.Receiver operating characteristic (ROC) curves and logistic regression analyses were used to evaluate the diagnostic value and identify the independent TA parameters.Results: The mean value and entropy of ADC, and mean value of contrast-enhanced T1WI were signi cantly lower in the sinonasal NHL group than those in the SCC group (all P < 0.05). ROC analysis indicated that the entropy of ADC had the best diagnostic performance (AUC, 0.832; Sensitivity, 0.95; Speci city, 0.67; Cut-off value, 6.522). Logistic regression analysis showed that the entropy of ADC (P = 0.002, OR = 26.990) was the independent parameter for differentiating sinonasal NHL from SCC.Conclusion: TA parameters of conventional MRI and DWI, particularly the entropy value of ADC, might be useful in the differentiating diagnosis between sinonasal NHL and SCC.

Apparent diffusion coefficient for differentiation between extra-nodal lymphoma and squamous cell carcinoma in the head and neck: a systematic review and meta-analysis

“…We also identified six articles from websites, citation searching, and suggestion. After applying the selection criteria, we identified eight articles with 440 patients (441 lesions) for systematic review and meta-analysis (9)(10)(11)(12)(13)(14)(15)(16). The extracted data from the eight studies are outlined in Supplementary Tables 1−3.…”

“…Head and neck malignant tumors have been shown to have lower ADC values than benign lesions (7,8). Although both head and neck cancers and lymphomas are highly cellular tumors, previous studies have shown that lymphomas tend to have particularly low ADC values (9)(10)(11)(12)(13)(14)(15)(16). However, due to the small sample sizes in most of the published series to date, the utility of ADC to distinguish extra-nodal lymphoma from head and neck cancers has not been definitively established.…”