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Diagnostic Value of Multi-Parameter MRI in Sub-Stage of T3 Rectal Cancer

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The paper aims to explore the diagnostic value of multi-parameter MRI in sub-stage of T3 rectal cancer. According to the results of clear pathological evaluation, 52 patients were divided into T3I and T3II groups according to the maximum mesorectum depth of tumor infiltration. The χ 2 test was used to compare the differences of the overall morphology index, morphological index of the extramural strips, type of time-signal intensity curve (TIC), and the location index of DWI diffusion-limited distribution between the two groups. The independent sample t was used to test and compare the differences in semi-quantitative parameters of DCE between the two lesion groups. The pathological results were used as the dependent variables, the indicators mentioned above with statistical differences were used as the independent variables, and a Logistic regression model was established to construct joint parameters and evaluate its diagnostic efficacy. The differences in the circumferential diameter of lesions and morphological index of extramural strips (p < 0.01), and DWI diffusion restricted distribution index (p < 0.01) of the two groups were statistically significant. The difference in the DCE semiquantitative parameter early enhancement ratio (EER) (p < 0.01) between the two groups. The maximum Youden index of a newly-constructed parameter diagnosis combination: circumferential diameter of lesions + extramural strips + distribution locations of limited diffusion on DWI + EER was 0.73, the area under receiver operating characteristic curve(ROC) was 0.887 and the diagnostic sensitivity and specificity were 85.24% and 87.34%. By making full use of multi-parameter information, combined with morphological index of extramural strips, circumferential diameter of lesions, EER and distribution locations of the diffusion-limited of DWI as evaluation indexes, it can provide a high diagnostic efficiency for the sub-stage of T3 rectal cancer.

Keywords: COMPARATIVE ANALYSIS; MRI; MULTIPLE PARAMETERS; RECTAL CANCER

Document Type: Research Article

Publication date: 01 November 2020

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  • Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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