Objective To build and verify a nomogram for diagnosis microinvasion of DCIS ground on magnetic reso-nance imaging(MRI).Methods A total of 87(32 of DCIS with microinvasion and 55 of DCIS)women were retrospec-tively analyzed and were divided into training cohort and testing cohort on the basis of 7∶3.Clinical,pathological and MRI imaging features were collected.We delineated region of interest manually on primary lesion on MRI,and used Redundancy-Maximum Relevance and Least absolute shrinkage and selection operator to select the features and build the radiomics mod-el.Radiomics score(Radscore)were obtained from radiomics model.Clinical model was built on the basis of the clinical and radiological features.The combined nomogram was built based on radscore and clinical radiological features.We com-pared the diagnostic efficiency and clinical adaptability of different models.Results Time signal intensity curve and ap-parent diffusion coefficient were independent risk factors for diagnosis microinvasion of DCIS.The combined nomogram in-corporating radscore and clinical radiological features showed a good calibration for diagnosis microinvasion of DCIS(0.860 of AUC).Although our result showed no significant difference with clinical model and radiomics model(0.760 and 0.830 of AUC).Conclusion Our result shows that the combined nomogram built with MRI and clinical radiological features has potential to identify the microinvasion of DCIS.
Ductal carcinoma in situ with microinvasionDuctal carcinoma in situMagnetic resonance imagingRa-diomicsNomogram
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