142 related articles for article (PubMed ID: 33133250)
1. Predictive value of T2-weighted magnetic resonance imaging for the prognosis of patients with mass-type breast cancer with peritumoral edema.
Liang T; Hu B; Du H; Zhang Y
Oncol Lett; 2020 Dec; 20(6):314. PubMed ID: 33133250
[TBL] [Abstract][Full Text] [Related]
2. Is evaluation of the presence of prepectoral edema on T2-weighted with fat-suppression 3 T breast MRI a simple and readily available noninvasive technique for estimation of prognosis in patients with breast cancer?
Uematsu T; Kasami M; Watanabe J
Breast Cancer; 2014 Nov; 21(6):684-92. PubMed ID: 23341125
[TBL] [Abstract][Full Text] [Related]
3. Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients.
Tahmassebi A; Wengert GJ; Helbich TH; Bago-Horvath Z; Alaei S; Bartsch R; Dubsky P; Baltzer P; Clauser P; Kapetas P; Morris EA; Meyer-Baese A; Pinker K
Invest Radiol; 2019 Feb; 54(2):110-117. PubMed ID: 30358693
[TBL] [Abstract][Full Text] [Related]
4. Evaluation of Breast Edema Findings at T2-weighted Breast MRI Is Useful for Diagnosing Occult Inflammatory Breast Cancer and Can Predict Prognosis after Neoadjuvant Chemotherapy.
Harada TL; Uematsu T; Nakashima K; Kawabata T; Nishimura S; Takahashi K; Tadokoro Y; Hayashi T; Tsuchiya K; Watanabe J; Sugino T
Radiology; 2021 Apr; 299(1):53-62. PubMed ID: 33560188
[TBL] [Abstract][Full Text] [Related]
5. Multiparametric MRI model with dynamic contrast-enhanced and diffusion-weighted imaging enables breast cancer diagnosis with high accuracy.
Zhang M; Horvat JV; Bernard-Davila B; Marino MA; Leithner D; Ochoa-Albiztegui RE; Helbich TH; Morris EA; Thakur S; Pinker K
J Magn Reson Imaging; 2019 Mar; 49(3):864-874. PubMed ID: 30375702
[TBL] [Abstract][Full Text] [Related]
6. Can peritumoral edema evaluated by Magnetic Resonance Imaging before neoadjuvant chemotherapy predict complete pathological response in breast cancer?
Cakir Pekoz B; Dilek O; Koseci T; Tas ZA; Irkorucu O; Gulek B
Scott Med J; 2023 Aug; 68(3):121-128. PubMed ID: 37161314
[TBL] [Abstract][Full Text] [Related]
7. Peritumoral Fat Content Identified Using Iterative Decomposition of Water and Fat with Echo Asymmetry and Least-squares Estimation (IDEAL) Correlates with Breast Cancer Prognosis.
Tani NH; Koreeda Y; Nawata A; Fujisaki A; Hayashida Y; Shimajiri S; Nakayama T; Hisaoka M; Inoue Y; Hirata K; Tashima Y; Tanaka F; Aoki T
Magn Reson Med Sci; 2024 Feb; ():. PubMed ID: 38325834
[TBL] [Abstract][Full Text] [Related]
8. Correlation of apparent diffusion coefficient values and peritumoral edema with pathologic biomarkers in patients with breast cancer.
Moradi B; Gity M; Etesam F; Borhani A; Ahmadinejad N; Kazemi MA
Clin Imaging; 2020 Dec; 68():242-248. PubMed ID: 32911312
[TBL] [Abstract][Full Text] [Related]
9. High Peritumoral and Intratumoral T2 Signal Intensity in HER2-Positive Breast Cancers on Preneoadjuvant Breast MRI: Assessment of Associations With Histopathologic Characteristics.
Jirarayapong J; Portnow LH; Chikarmane SA; Lan Z; Gombos EC
AJR Am J Roentgenol; 2024 Mar; 222(3):e2330280. PubMed ID: 38117101
[No Abstract] [Full Text] [Related]
10. Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI.
Braman NM; Etesami M; Prasanna P; Dubchuk C; Gilmore H; Tiwari P; Plecha D; Madabhushi A
Breast Cancer Res; 2017 May; 19(1):57. PubMed ID: 28521821
[TBL] [Abstract][Full Text] [Related]
11. Association between MRI Features and Standardized Uptake Value of 18F-FDG PET/CT in Triple-Negative Breast Cancer.
Choi BB; Lee JS; Kim KH
Oncol Res Treat; 2018; 41(11):706-711. PubMed ID: 30321870
[TBL] [Abstract][Full Text] [Related]
12. Prognostic Value of MRI Assessment of Residual Peritumoral Edema in Breast Cancer Treated With Neoadjuvant Chemotherapy.
Shigematsu H; Fujimoto M; Kobayashi Y; Yasui D; Komoto D; Matsuura N; Kuraoka K; Yoshiyama T
J Magn Reson Imaging; 2024 May; ():. PubMed ID: 38809133
[TBL] [Abstract][Full Text] [Related]
13. Breast MRI for prediction of lymphovascular invasion in breast cancer patients with clinically negative axillary lymph nodes.
Igarashi T; Furube H; Ashida H; Ojiri H
Eur J Radiol; 2018 Oct; 107():111-118. PubMed ID: 30292254
[TBL] [Abstract][Full Text] [Related]
14. [Clinical research of features of magnetic resonance imaging of high-voltage electrical burns in limbs at early stage].
Li SJ; Wang ZL; Zhu WP; Xiang Y; Lin J; Yu YJ; Li P
Zhonghua Shao Shang Za Zhi; 2017 Dec; 33(12):750-756. PubMed ID: 29275616
[No Abstract] [Full Text] [Related]
15. Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast-enhanced MRI.
Liu C; Ding J; Spuhler K; Gao Y; Serrano Sosa M; Moriarty M; Hussain S; He X; Liang C; Huang C
J Magn Reson Imaging; 2019 Jan; 49(1):131-140. PubMed ID: 30171822
[TBL] [Abstract][Full Text] [Related]
16. Diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping as a quantitative imaging biomarker for prediction of immunohistochemical receptor status, proliferation rate, and molecular subtypes of breast cancer.
Horvat JV; Bernard-Davila B; Helbich TH; Zhang M; Morris EA; Thakur SB; Ochoa-Albiztegui RE; Leithner D; Marino MA; Baltzer PA; Clauser P; Kapetas P; Bago-Horvath Z; Pinker K
J Magn Reson Imaging; 2019 Sep; 50(3):836-846. PubMed ID: 30811717
[TBL] [Abstract][Full Text] [Related]
17. Assessment of multifocality and axillary nodal involvement in early-stage breast cancer patients using 18F-FDG PET/CT compared to contrast-enhanced and diffusion-weighted magnetic resonance imaging and sentinel node biopsy.
Ergul N; Kadioglu H; Yildiz S; Yucel SB; Gucin Z; Erdogan EB; Aydin M; Muslumanoglu M
Acta Radiol; 2015 Aug; 56(8):917-23. PubMed ID: 25013091
[TBL] [Abstract][Full Text] [Related]
18. Role of diffusion-weighted imaging as an adjunct to contrast-enhanced breast MRI in evaluating residual breast cancer following neoadjuvant chemotherapy.
Hahn SY; Ko EY; Han BK; Shin JH; Ko ES
Eur J Radiol; 2014 Feb; 83(2):283-8. PubMed ID: 24315957
[TBL] [Abstract][Full Text] [Related]
19. Predicting nodal status using dynamic contrast-enhanced magnetic resonance imaging in patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy with and without sequential trastuzumab.
Hsiang DJ; Yamamoto M; Mehta RS; Su MY; Baick CH; Lane KT; Butler JA
Arch Surg; 2007 Sep; 142(9):855-61; discussion 860-1. PubMed ID: 17875840
[TBL] [Abstract][Full Text] [Related]
20. Preoperative MRI features associated with lymphovascular invasion in node-negative invasive breast cancer: A propensity-matched analysis.
Cheon H; Kim HJ; Lee SM; Cho SH; Shin KM; Kim GC; Park JY; Kim WH
J Magn Reson Imaging; 2017 Oct; 46(4):1037-1044. PubMed ID: 28370761
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
