Jiejie Zhou1, Yan-Lin Liu2, Yang Zhang2, Jeon-Hor Chen2,3, Freddie J. Combs2, Ritesh Parajuli4, Rita S. Mehta4, Huiru Liu1, Zhongwei Chen1, Youfan Zhao1, Meihao Wang1, and Min-Ying Su2
1Department of Radiology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China, 2Department of Radiological Sciences, University of California, Irvine, CA, United States, 3Department of Radiology, E-Da Hospital and I-Shou University, Kaohsiung, Taiwan, 4Department of Medicine, University of California, Irvine, CA, United States
1Department of Radiology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China, 2Department of Radiological Sciences, University of California, Irvine, CA, United States, 3Department of Radiology, E-Da Hospital and I-Shou University, Kaohsiung, Taiwan, 4Department of Medicine, University of California, Irvine, CA, United States
150 non-mass-like enhancements were analyzed by radiologists performing BI-RADS reading. Radiomics and deep learning were used
to build diagnostic models. SVM yielded the highest accuracy. ResNet50 had better diagnostic
performance, 91.5% in training, and 83.3% in testing datasets.
Figure 1: A 41-year-old patient with a DCIS. (a) F1 Pre-contrast image.
(b) F2 post-contrast image. (c-i): The zoom-in smallest bounding box containing
the tumor. (c) F1 pre-contrast, (d) F2 post-contrast, (e) F3 post-contrast, (f)
The last F6 post-contrast image, showing a comparable enhancement as in F3. (g)
The wash-in signal enhancement map F2-F1, (h) The maximum F3-F1 signal
enhancement map, (i) The wash-out F6-F3 map. A small portion of the tumor shows
the wash-out pattern. (J) The DCE time course shows a plateau pattern, after
reaching the maximum in F3.
Figure 2: A 63-year-old patient with an invasive ductal cancer (IDC). (a)
F1 Pre-contrast image. (b) F2 post-contrast image. (c) F1 pre-contrast, (d) F2
post-contrast, (e) F3 post-contrast, (f) The last F6 post-contrast image,
showing wash-out DCE pattern with decreased intensity after reaching maximum in
F3. (g) The wash-in signal enhancement map F2-F1, (h) The maximum F3-F1 signal
enhancement map, (i) The wash-out F6-F3 map. (j) The DCE time course shows a
typical wash-out pattern, reaching maximum in F3, followed by decreased
intensity from F4 to F6.