139 related articles for article (PubMed ID: 36251468)
1. Assessment of Prognostic Factors and Molecular Subtypes of Breast Cancer With a Continuous-Time Random-Walk MR Diffusion Model: Using Whole Tumor Histogram Analysis.
Qin Y; Tang C; Hu Q; Yi J; Yin T; Ai T
J Magn Reson Imaging; 2023 Jul; 58(1):93-105. PubMed ID: 36251468
[TBL] [Abstract][Full Text] [Related]
2. Is simultaneous multi-slice readout-segmented echo-planar imaging valuable for predicting molecular subtypes of breast cancer?
Li X; Zhu H; Sun K; Chai W; Fu C; Yan F
Eur J Radiol; 2022 May; 150():110232. PubMed ID: 35259708
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Evaluation of breast cancer malignancy, prognostic factors and molecular subtypes using a continuous-time random-walk MR diffusion model.
Chang H; Wang D; Li Y; Xiang S; Yang YX; Kong P; Fang C; Ming L; Wang X; Zhang C; Jia W; Yan Q; Liu X; Zeng Q
Eur J Radiol; 2023 Sep; 166():111003. PubMed ID: 37506477
[TBL] [Abstract][Full Text] [Related]
5. Diffusion Kurtosis MR Imaging of Invasive Breast Cancer: Correlations With Prognostic Factors and Molecular Subtypes.
Kang HS; Kim JY; Kim JJ; Kim S; Lee NK; Lee JW; Suh HB; Hwangbo L; Son Y; Grimm R
J Magn Reson Imaging; 2022 Jul; 56(1):110-120. PubMed ID: 34792837
[TBL] [Abstract][Full Text] [Related]
6. Correlation between molecular prognostic factors and magnetic resonance imaging intravoxel incoherent motion histogram parameters in breast cancer.
Feng W; Gao Y; Lu XR; Xu YS; Guo ZZ; Lei JQ
Magn Reson Imaging; 2022 Jan; 85():262-270. PubMed ID: 34740800
[TBL] [Abstract][Full Text] [Related]
7. The Relationship between Breast Cancer Subtypes, Prognostic Factors, and Apparent Diffusion Coefficient Histogram Analysis.
Aktas E; Uylar Seber T; Seber T; Burcek NV; Akay E; Arslan A; Karagöz Eren S; Ozhan N; Yaltırık Bilgin E; Savran B; Akdur P
Curr Med Imaging; 2024; 20(1):e15734056271069. PubMed ID: 38616751
[TBL] [Abstract][Full Text] [Related]
8. Histogram analysis of apparent diffusion coefficient at 3.0t: Correlation with prognostic factors and subtypes of invasive ductal carcinoma.
Kim EJ; Kim SH; Park GE; Kang BJ; Song BJ; Kim YJ; Lee D; Ahn H; Kim I; Son YH; Grimm R
J Magn Reson Imaging; 2015 Dec; 42(6):1666-78. PubMed ID: 25919239
[TBL] [Abstract][Full Text] [Related]
9. Histogram analysis of multi-model high-resolution diffusion-weighted MRI in breast cancer: correlations with molecular prognostic factors and subtypes.
Qin Y; Wu F; Hu Q; He L; Huo M; Tang C; Yi J; Zhang H; Yin T; Ai T
Front Oncol; 2023; 13():1139189. PubMed ID: 37188173
[TBL] [Abstract][Full Text] [Related]
10. Support vector machine for breast cancer classification using diffusion-weighted MRI histogram features: Preliminary study.
Vidić I; Egnell L; Jerome NP; Teruel JR; Sjøbakk TE; Østlie A; Fjøsne HE; Bathen TF; Goa PE
J Magn Reson Imaging; 2018 May; 47(5):1205-1216. PubMed ID: 29044896
[TBL] [Abstract][Full Text] [Related]
11. Quantitative Assessment of Restriction Spectrum MR Imaging for the Diagnosis of Breast Cancer and Association With Prognostic Factors.
Qin Y; Tang C; Hu Q; Zhang Y; Yi J; Dai Y; Ai T
J Magn Reson Imaging; 2023 Jun; 57(6):1832-1841. PubMed ID: 36205354
[TBL] [Abstract][Full Text] [Related]
12. Diffusion-weighted MRI of estrogen receptor-positive, HER2-negative, node-negative breast cancer: association between intratumoral heterogeneity and recurrence risk.
Kim JY; Kim JJ; Hwangbo L; Lee JW; Lee NK; Nam KJ; Choo KS; Kang T; Park H; Son Y; Grimm R
Eur Radiol; 2020 Jan; 30(1):66-76. PubMed ID: 31385051
[TBL] [Abstract][Full Text] [Related]
13. Added value of mean and entropy of apparent diffusion coefficient values for evaluating histologic phenotypes of invasive ductal breast cancer with MR imaging.
Suo S; Zhang D; Cheng F; Cao M; Hua J; Lu J; Xu J
Eur Radiol; 2019 Mar; 29(3):1425-1434. PubMed ID: 30116958
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Histogram analysis comparison of readout-segmented and single-shot echo-planar imaging for differentiating luminal from non-luminal breast cancer.
Hu Y; Hu Q; Liu Z; Huang C; Xia L
Sci Rep; 2024 May; 14(1):12135. PubMed ID: 38802446
[TBL] [Abstract][Full Text] [Related]
16. The volumetric-tumour histogram-based analysis of intravoxel incoherent motion and non-Gaussian diffusion MRI: association with prognostic factors in HER2-positive breast cancer.
You C; Li J; Zhi W; Chen Y; Yang W; Gu Y; Peng W
J Transl Med; 2019 Jul; 17(1):182. PubMed ID: 31262334
[TBL] [Abstract][Full Text] [Related]
17. Histogram Analysis and Visual Heterogeneity of Diffusion-Weighted Imaging with Apparent Diffusion Coefficient Mapping in the Prediction of Molecular Subtypes of Invasive Breast Cancers.
Horvat JV; Iyer A; Morris EA; Apte A; Bernard-Davila B; Martinez DF; Leithner D; Sutton OM; Ochoa-Albiztegui RE; Giri D; Pinker K; Thakur SB
Contrast Media Mol Imaging; 2019; 2019():2972189. PubMed ID: 31819738
[TBL] [Abstract][Full Text] [Related]
18. Histogram analysis of intravoxel incoherent motion imaging: Correlation with molecular prognostic factors and combined subtypes of breast cancer.
Yang D; Ren Y; Wang C
Magn Reson Imaging; 2024 Sep; 111():210-216. PubMed ID: 38777242
[TBL] [Abstract][Full Text] [Related]
19. Whole Volume Apparent Diffusion Coefficient (ADC) Histogram as a Quantitative Imaging Biomarker to Differentiate Breast Lesions: Correlation with the Ki-67 Proliferation Index.
Guo Y; Kong QC; Li LQ; Tang WJ; Zhang WL; Ning GY; Xue J; Zhou QW; Liang YY; Wu M; Jiang XQ
Biomed Res Int; 2021; 2021():4970265. PubMed ID: 34258262
[TBL] [Abstract][Full Text] [Related]
20. Breast cancer diagnosis and prognosis using a high b-value non-Gaussian continuous-time random-walk model.
Feng H; Liu H; Wang Q; Song M; Yang T; Zheng L; Wu D; Shao X; Shi G
Clin Radiol; 2023 Sep; 78(9):e660-e667. PubMed ID: 37344324
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]