Diagnostic value of radiomics model based on gray-scale and contrast-enhanced ultrasound for inflammatory mass stage periductal mastitis/duct ectasia
In: Frontiers in Oncology, Jg. 12 (2022-09-01)
Online
academicJournal
Zugriff:
ObjectiveThe present study aimed to investigate the clinical application value of the radiomics model based on gray-scale ultrasound (GSUS) and contrast-enhanced ultrasound (CEUS) images in the differentiation of inflammatory mass stage periductal mastitis/duct ectasia (IMSPDM/DE) and invasive ductal carcinoma (IDC).MethodsIn this retrospective study, 254 patients (IMSPDM/DE: 129; IDC:125) were enrolled between January 2018 and December 2020 as a training cohort to develop the classification models. The radiomics features were extracted from the GSUS and CEUS images. The least absolute shrinkage and selection operator (LASSO) regression model was employed to select the corresponding features. Based on these selected features, logistic regression analysis was used to aid the construction of these three radiomics signatures (GSUS, CEUS and GSCEUS radiomics signature). In addition, 80 patients (IMSPDM/DE:40; IDC:40) were recruited between January 2021 and November 2021 and were used as the validation cohort. The best radiomics signature was selected. Based on the clinical parameters and the radiomics signature, a classification model was built. Finally, the classification model was assessed using nomogram and decision curve analyses.ResultsThree radiomics signatures were able to differentiate IMSPDM/DE from IDC. The GSCEUS radiomics signature outperformed the other two radiomics signatures and the AUC, sensitivity, specificity, and accuracy were estimated to be 0.876, 0.756, 0.804, and 0.798 in the training cohort and 0.796, 0.675, 0.838 and 0.763 in the validation cohort, respectively. The lower patient age (p
Titel: |
Diagnostic value of radiomics model based on gray-scale and contrast-enhanced ultrasound for inflammatory mass stage periductal mastitis/duct ectasia
|
---|---|
Autor/in / Beteiligte Person: | Zheng, Yan ; Bai, Lu ; Sun, Jie ; Zhu, Lin ; Huang, Renjun ; Duan, Shaofeng ; Dong, Fenglin ; Tang, Zaixiang ; Li, Yonggang |
Link: | |
Zeitschrift: | Frontiers in Oncology, Jg. 12 (2022-09-01) |
Veröffentlichung: | Frontiers Media S.A., 2022 |
Medientyp: | academicJournal |
ISSN: | 2234-943X (print) |
DOI: | 10.3389/fonc.2022.981106 |
Schlagwort: |
|
Sonstiges: |
|