174 related articles for article (PubMed ID: 37052738)
21. Combination of ultrafast dynamic contrast-enhanced MRI-based radiomics and artificial neural network in assessing BI-RADS 4 breast lesions: Potential to avoid unnecessary biopsies.
Lyu Y; Chen Y; Meng L; Guo J; Zhan X; Chen Z; Yan W; Zhang Y; Zhao X; Zhang Y
Front Oncol; 2023; 13():1074060. PubMed ID: 36816972
[TBL] [Abstract][Full Text] [Related]
22. [The value of ultrasound classification in BI-RADS category 4 of breast complex cystic masses].
Yao JP; Niu LJ; Wang Y; Geng CY; Chang Q; Chen Y; Zhu L
Zhonghua Zhong Liu Za Zhi; 2018 Sep; 40(9):672-675. PubMed ID: 30293391
[No Abstract] [Full Text] [Related]
23. Downgrading of Breast Masses Suspicious for Cancer by Using Optoacoustic Breast Imaging.
Menezes GLG; Pijnappel RM; Meeuwis C; Bisschops R; Veltman J; Lavin PT; van de Vijver MJ; Mann RM
Radiology; 2018 Aug; 288(2):355-365. PubMed ID: 29664342
[TBL] [Abstract][Full Text] [Related]
24. Artificial Intelligence Applied to Breast MRI for Improved Diagnosis.
Jiang Y; Edwards AV; Newstead GM
Radiology; 2021 Jan; 298(1):38-46. PubMed ID: 33078996
[TBL] [Abstract][Full Text] [Related]
25. Shear-wave elastography improves the specificity of breast US: the BE1 multinational study of 939 masses.
Berg WA; Cosgrove DO; Doré CJ; Schäfer FK; Svensson WE; Hooley RJ; Ohlinger R; Mendelson EB; Balu-Maestro C; Locatelli M; Tourasse C; Cavanaugh BC; Juhan V; Stavros AT; Tardivon A; Gay J; Henry JP; Cohen-Bacrie C;
Radiology; 2012 Feb; 262(2):435-49. PubMed ID: 22282182
[TBL] [Abstract][Full Text] [Related]
26. The Utility of the Fifth Edition of the BI-RADS Ultrasound Lexicon in Category 4 Breast Lesions: A Prospective Multicenter Study in China.
Gu Y; Tian JW; Ran HT; Ren WD; Chang C; Yuan JJ; Kang CS; Deng YB; Wang H; Luo BM; Guo SL; Zhou Q; Xue ES; Zhan WW; Zhou Q; Li J; Zhou P; Zhang CQ; Chen M; Gu Y; Xu JF; Chen W; Zhang YH; Wang HQ; Li JC; Wang HY; Jiang YX
Acad Radiol; 2022 Jan; 29 Suppl 1():S26-S34. PubMed ID: 32768352
[TBL] [Abstract][Full Text] [Related]
27. A Pivotal Study of Optoacoustic Imaging to Diagnose Benign and Malignant Breast Masses: A New Evaluation Tool for Radiologists.
Neuschler EI; Butler R; Young CA; Barke LD; Bertrand ML; Böhm-Vélez M; Destounis S; Donlan P; Grobmyer SR; Katzen J; Kist KA; Lavin PT; Makariou EV; Parris TM; Schilling KJ; Tucker FL; Dogan BE
Radiology; 2018 May; 287(2):398-412. PubMed ID: 29178816
[TBL] [Abstract][Full Text] [Related]
28. Diagnostic performance of initial enhancement analysis using ultra-fast dynamic contrast-enhanced MRI for breast lesions.
Goto M; Sakai K; Yokota H; Kiba M; Yoshida M; Imai H; Weiland E; Yokota I; Yamada K
Eur Radiol; 2019 Mar; 29(3):1164-1174. PubMed ID: 30088064
[TBL] [Abstract][Full Text] [Related]
29. Radiomics Based on Multimodal MRI for the Differential Diagnosis of Benign and Malignant Breast Lesions.
Zhang Q; Peng Y; Liu W; Bai J; Zheng J; Yang X; Zhou L
J Magn Reson Imaging; 2020 Aug; 52(2):596-607. PubMed ID: 32061014
[TBL] [Abstract][Full Text] [Related]
30. The value of noncontrast MRI in evaluating breast imaging reporting and data system category 0 lesions on digital mammograms.
Zhang R; Xu M; Zhou C; Ding X; Lu H; Ge M; Du L; Bu Y
Quant Imaging Med Surg; 2022 Aug; 12(8):4069-4080. PubMed ID: 35919041
[TBL] [Abstract][Full Text] [Related]
31. A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast Masses.
Interlenghi M; Salvatore C; Magni V; Caldara G; Schiavon E; Cozzi A; Schiaffino S; Carbonaro LA; Castiglioni I; Sardanelli F
Diagnostics (Basel); 2022 Jan; 12(1):. PubMed ID: 35054354
[TBL] [Abstract][Full Text] [Related]
32. Breast Lesion Classification with Multiparametric Breast MRI Using Radiomics and Machine Learning: A Comparison with Radiologists' Performance.
Daimiel Naranjo I; Gibbs P; Reiner JS; Lo Gullo R; Thakur SB; Jochelson MS; Thakur N; Baltzer PAT; Helbich TH; Pinker K
Cancers (Basel); 2022 Mar; 14(7):. PubMed ID: 35406514
[TBL] [Abstract][Full Text] [Related]
33. The uncertainty of boundary can improve the classification accuracy of BI-RADS 4A ultrasound image.
Wang H; Hu Y; Lu Y; Zhou J; Guo Y
Med Phys; 2022 May; 49(5):3314-3324. PubMed ID: 35261034
[TBL] [Abstract][Full Text] [Related]
34. Adding a Model-free Diffusion MRI Marker to BI-RADS Assessment Improves Specificity for Diagnosing Breast Lesions.
Goto M; Le Bihan D; Yoshida M; Sakai K; Yamada K
Radiology; 2019 Jul; 292(1):84-93. PubMed ID: 31112086
[TBL] [Abstract][Full Text] [Related]
35. Application of MRI Radiomics-Based Machine Learning Model to Improve Contralateral BI-RADS 4 Lesion Assessment.
Hao W; Gong J; Wang S; Zhu H; Zhao B; Peng W
Front Oncol; 2020; 10():531476. PubMed ID: 33194589
[TBL] [Abstract][Full Text] [Related]
36. A computer-aided diagnosis system for breast ultrasound based on weighted BI-RADS classes.
Rodríguez-Cristerna A; Gómez-Flores W; de Albuquerque Pereira WC
Comput Methods Programs Biomed; 2018 Jan; 153():33-40. PubMed ID: 29157459
[TBL] [Abstract][Full Text] [Related]
37. [Diagnostic value of contrast-enhanced ultrasound in breast lesions of BI-RADS 4].
Liang YC; Jia CM; Xue Y; Lü Q; Chen F; Wang JJ
Zhonghua Yi Xue Za Zhi; 2018 May; 98(19):1498-1502. PubMed ID: 29804418
[No Abstract] [Full Text] [Related]
38. Quantitative DWI implemented after DCE-MRI yields increased specificity for BI-RADS 3 and 4 breast lesions.
Dijkstra H; Dorrius MD; Wielema M; Pijnappel RM; Oudkerk M; Sijens PE
J Magn Reson Imaging; 2016 Dec; 44(6):1642-1649. PubMed ID: 27273694
[TBL] [Abstract][Full Text] [Related]
39. Improved value of whole-lesion histogram analysis on DCE parametric maps for diagnosing small breast cancer (≤ 1 cm).
Xie T; Zhao Q; Fu C; Grimm R; Gu Y; Peng W
Eur Radiol; 2022 Mar; 32(3):1634-1643. PubMed ID: 34505195
[TBL] [Abstract][Full Text] [Related]
40. A comparison of logistic regression analysis and an artificial neural network using the BI-RADS lexicon for ultrasonography in conjunction with introbserver variability.
Kim SM; Han H; Park JM; Choi YJ; Yoon HS; Sohn JH; Baek MH; Kim YN; Chae YM; June JJ; Lee J; Jeon YH
J Digit Imaging; 2012 Oct; 25(5):599-606. PubMed ID: 22270787
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
