137 related articles for article (PubMed ID: 36656448)
1. Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised Approach.
Yin J; Qiu JJ; Liu JY; Li YY; Lao QC; Zhong XR; Feng M; Du H; Peng SL; Peng YL
Interdiscip Sci; 2023 Jun; 15(2):262-272. PubMed ID: 36656448
[TBL] [Abstract][Full Text] [Related]
2. Availability of immunocytochemistry using cocktail antibody targeting p63/cytokeratin14 for the differential diagnosis of fibroadenoma and ductal carcinoma in situ in fine needle aspiration cytology of the breast.
Maeda I; Oana Y; Tsugawa K; Takagi M
Cytopathology; 2017 Oct; 28(5):378-384. PubMed ID: 28685877
[TBL] [Abstract][Full Text] [Related]
3. Machine learning-based image analysis for accelerating the diagnosis of complicated preneoplastic and neoplastic ductal lesions in breast biopsy tissues.
Sato S; Maki S; Yamanaka T; Hoshino D; Ota Y; Yoshioka E; Kawachi K; Washimi K; Suzuki M; Ohkubo Y; Yokose T; Yamashita T; Ohtori S; Miyagi Y
Breast Cancer Res Treat; 2021 Aug; 188(3):649-659. PubMed ID: 33934277
[TBL] [Abstract][Full Text] [Related]
4. Application of Contrast-Enhanced Ultrasound in the Diagnosis of Ductal Carcinoma In Situ: Analysis of 127 Cases.
Li W; Zhou Q; Xia S; Wu Y; Fei X; Wang Y; Tao L; Fan J; Zhou W
J Ultrasound Med; 2020 Jan; 39(1):39-50. PubMed ID: 31206200
[TBL] [Abstract][Full Text] [Related]
5. Differentiation between Phyllodes Tumors and Fibroadenomas through Breast Ultrasound: Deep-Learning Model Outperforms Ultrasound Physicians.
Shi Z; Ma Y; Ma X; Jin A; Zhou J; Li N; Sheng D; Chang C; Chen J; Li J
Sensors (Basel); 2023 May; 23(11):. PubMed ID: 37299826
[TBL] [Abstract][Full Text] [Related]
6. Low-grade ductal carcinoma in situ (DCIS) arising in a fibroadenoma of the breast during 5 years follow-up: A case report.
Shojaku H; Hori R; Yoshida T; Matsui K; Shimada K; Takayanagi N; Noguchi K
Medicine (Baltimore); 2021 Mar; 100(10):e24023. PubMed ID: 33725814
[TBL] [Abstract][Full Text] [Related]
7. Breast lesion characterization using whole-lesion histogram analysis with stretched-exponential diffusion model.
Liu C; Wang K; Li X; Zhang J; Ding J; Spuhler K; Duong T; Liang C; Huang C
J Magn Reson Imaging; 2018 Jun; 47(6):1701-1710. PubMed ID: 29165847
[TBL] [Abstract][Full Text] [Related]
8. A clinicopathological study of fibroadenomas with epithelial proliferation including lobular carcinoma in-situ, atypical ductal hyperplasia, DCIS and invasive carcinoma.
Krishnamurthy K; Alghamdi S; Gyapong S; Kaplan S; Poppiti RJ
Breast Dis; 2019; 38(3-4):97-101. PubMed ID: 30909180
[TBL] [Abstract][Full Text] [Related]
9. Radiomics of US texture features in differential diagnosis between triple-negative breast cancer and fibroadenoma.
Lee SE; Han K; Kwak JY; Lee E; Kim EK
Sci Rep; 2018 Sep; 8(1):13546. PubMed ID: 30202040
[TBL] [Abstract][Full Text] [Related]
10. Impact of radiomics on the breast ultrasound radiologist's clinical practice: From lumpologist to data wrangler.
Fleury EFC; Marcomini K
Eur J Radiol; 2020 Oct; 131():109197. PubMed ID: 32795725
[TBL] [Abstract][Full Text] [Related]
11. Low diffusion level within a fibroadenoma as the sole sign of ductal carcinoma in situ: A case report.
Tagliati C; Lanni G; Cerimele F; Di Martino A; Calamita V; Lucidi Pressanti G; Mingliang Y; Giuseppetti GM; Argalia G; Giovagnoni A
Breast Dis; 2021; 40(4):283-286. PubMed ID: 34092581
[TBL] [Abstract][Full Text] [Related]
12. An Uncommon Pairing of common Tumors: Case Report of Ductal Carcinoma
Marumoto A; Steinemann S; Furumoto N; Woodruff S
Hawaii J Med Public Health; 2019 Feb; 78(2):39-43. PubMed ID: 30766763
[TBL] [Abstract][Full Text] [Related]
13. Predicting underestimation of ductal carcinoma in situ: a comparison between radiomics and conventional approaches.
Li J; Song Y; Xu S; Wang J; Huang H; Ma W; Jiang X; Wu Y; Cai H; Li L
Int J Comput Assist Radiol Surg; 2019 Apr; 14(4):709-721. PubMed ID: 30569330
[TBL] [Abstract][Full Text] [Related]
14. Predicting Underestimation of Invasive Cancer in Patients with Core-Needle-Biopsy-Diagnosed Ductal Carcinoma In Situ Using Deep Learning Algorithms.
Do LN; Lee HJ; Im C; Park JH; Lim HS; Park I
Tomography; 2022 Dec; 9(1):1-11. PubMed ID: 36648988
[TBL] [Abstract][Full Text] [Related]
15. Characteristics of ultrasonographic images of ductal carcinoma in situ with abnormalities of the ducts.
Ban K; Tsunoda H; Watanabe T; Kaoku S; Yamaguchi T; Ueno E; Hirokaga K; Tanaka K
J Med Ultrason (2001); 2020 Jan; 47(1):107-115. PubMed ID: 31655940
[TBL] [Abstract][Full Text] [Related]
16. Evaluating the usefulness of breast strain elastography for intraductal lesions.
Kokubu Y; Yamada K; Tanabe M; Izumori A; Kato C; Horii R; Ohno S; Matsueda K
J Med Ultrason (2001); 2021 Jan; 48(1):63-70. PubMed ID: 33389371
[TBL] [Abstract][Full Text] [Related]
17. Features of ductal carcinoma in situ ultrasound images.
Watanabe T
J Med Ultrason (2001); 2023 Jul; 50(3):347-350. PubMed ID: 37369884
[TBL] [Abstract][Full Text] [Related]
18. Assessment of Machine Learning of Breast Pathology Structures for Automated Differentiation of Breast Cancer and High-Risk Proliferative Lesions.
Mercan E; Mehta S; Bartlett J; Shapiro LG; Weaver DL; Elmore JG
JAMA Netw Open; 2019 Aug; 2(8):e198777. PubMed ID: 31397859
[TBL] [Abstract][Full Text] [Related]
19. Breast carcinoma originating in a fibroadenoma.
Gulec SA; Rhea G; Gonzalez AD; Welsh RA
Breast J; 2004; 10(5):452-3. PubMed ID: 15327503
[No Abstract] [Full Text] [Related]
20. Ultrasound Image Classification of Ductal Carcinoma In Situ (DCIS) of the Breast: Analysis of 705 DCIS Lesions.
Watanabe T; Yamaguchi T; Tsunoda H; Kaoku S; Tohno E; Yasuda H; Ban K; Hirokaga K; Tanaka K; Umemoto T; Okuno T; Fujimoto Y; Nakatani S; Ito J; Ueno E
Ultrasound Med Biol; 2017 May; 43(5):918-925. PubMed ID: 28242086
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
