119 related articles for article (PubMed ID: 38548517)
1. Photoacoustic Imaging Radiomics to Identify Breast Cancer in BI-RADS 4 or 5 Lesions.
Li G; Huang Z; Luo H; Tian H; Ding Z; Deng Y; Xu J; Wu H; Dong F
Clin Breast Cancer; 2024 Feb; ():. PubMed ID: 38548517
[TBL] [Abstract][Full Text] [Related]
2. Predicting Breast Cancer in Breast Imaging Reporting and Data System (BI-RADS) Ultrasound Category 4 or 5 Lesions: A Nomogram Combining Radiomics and BI-RADS.
Luo WQ; Huang QX; Huang XW; Hu HT; Zeng FQ; Wang W
Sci Rep; 2019 Aug; 9(1):11921. PubMed ID: 31417138
[TBL] [Abstract][Full Text] [Related]
3. Nomograms for prediction of breast cancer in breast imaging reporting and data system (BI-RADS) ultrasound category 4 or 5 lesions: A single-center retrospective study based on radiomics features.
Hong ZL; Chen S; Peng XR; Li JW; Yang JC; Wu SS
Front Oncol; 2022; 12():894476. PubMed ID: 36212503
[TBL] [Abstract][Full Text] [Related]
4. Combining Potential Strain Elastography and Radiomics for Diagnosing Breast Lesions in BI-RADS 4: Construction and Validation a Predictive Nomogram.
Zha H; Wu T; Zhang M; Cai M; Diao X; Li F; Wu R; Du Y
Acad Radiol; 2024 Feb; ():. PubMed ID: 38378324
[TBL] [Abstract][Full Text] [Related]
5. Automatic Breast Volume Scanner and B-Ultrasound-Based Radiomics Nomogram for Clinician Management of BI-RADS 4A Lesions.
Ma Q; Wang J; Xu D; Zhu C; Qin J; Wu Y; Gao Y; Zhang C
Acad Radiol; 2023 Aug; 30(8):1628-1637. PubMed ID: 36456445
[TBL] [Abstract][Full Text] [Related]
6. Contrast-Enhanced Spectral Mammography-Based Radiomics Nomogram for Identifying Benign and Malignant Breast Lesions of Sub-1 cm.
Lin F; Wang Z; Zhang K; Yang P; Ma H; Shi Y; Liu M; Wang Q; Cui J; Mao N; Xie H
Front Oncol; 2020; 10():573630. PubMed ID: 33194677
[TBL] [Abstract][Full Text] [Related]
7. Development and Validation of a Radiomics Nomogram for Predicting Clinically Significant Prostate Cancer in PI-RADS 3 Lesions.
Li T; Sun L; Li Q; Luo X; Luo M; Xie H; Wang P
Front Oncol; 2021; 11():825429. PubMed ID: 35155214
[TBL] [Abstract][Full Text] [Related]
8. Automated Breast Volume Scanner (ABVS)-Based Radiomic Nomogram: A Potential Tool for Reducing Unnecessary Biopsies of BI-RADS 4 Lesions.
Wang SJ; Liu HQ; Yang T; Huang MQ; Zheng BW; Wu T; Qiu C; Han LQ; Ren J
Diagnostics (Basel); 2022 Jan; 12(1):. PubMed ID: 35054339
[TBL] [Abstract][Full Text] [Related]
9. An Improved Nomogram to Reduce False-Positive Biopsy Rates of Breast Imaging Reporting and Data System Ultrasonography Category 4A Lesions.
Hai L; Feng Y; Zhao J; Tang Q; Wang X; Cao X; Xiao C
Cancer Control; 2022; 29():10732748221122703. PubMed ID: 37735939
[TBL] [Abstract][Full Text] [Related]
10. Development of a nomogram-based model combining intra- and peritumoral ultrasound radiomics with clinical features for differentiating benign from malignant in Breast Imaging Reporting and Data System category 3-5 nodules.
Zhong L; Shi L; Zhou L; Liu X; Gu L; Bai W
Quant Imaging Med Surg; 2023 Oct; 13(10):6899-6910. PubMed ID: 37869276
[TBL] [Abstract][Full Text] [Related]
11. A nomogram to predict for malignant diagnosis of BI-RADS Category 4 breast lesions.
Mazouni C; Sneige N; Rouzier R; Balleyguier C; Bevers T; André F; Vielh P; Delaloge S
J Surg Oncol; 2010 Sep; 102(3):220-4. PubMed ID: 20740578
[TBL] [Abstract][Full Text] [Related]
12. A meta-analysis of MRI radiomics-based diagnosis for BI-RADS 4 breast lesions.
Lin J; Zheng H; Jia Q; Shi J; Wang S; Wang J; Ge M
J Cancer Res Clin Oncol; 2024 May; 150(5):254. PubMed ID: 38748373
[TBL] [Abstract][Full Text] [Related]
13. A clinical-radiomics nomogram based on multimodal ultrasound for predicting the malignancy risk in solid hypoechoic breast lesions.
Shiyan G; Liqing J; Yueqiong Y; Yan Z
Front Oncol; 2023; 13():1256146. PubMed ID: 37916158
[TBL] [Abstract][Full Text] [Related]
14. Radiomics Based on Digital Mammography Helps to Identify Mammographic Masses Suspicious for Cancer.
Wang G; Shi D; Guo Q; Zhang H; Wang S; Ren K
Front Oncol; 2022; 12():843436. PubMed ID: 35433437
[TBL] [Abstract][Full Text] [Related]
15. Evaluation of diagnostic efficacy of multimode ultrasound in BI-RADS 4 breast neoplasms and establishment of a predictive model.
Chen Y; Lu J; Li J; Liao J; Huang X; Zhang B
Front Oncol; 2022; 12():1053280. PubMed ID: 36505867
[TBL] [Abstract][Full Text] [Related]
16. Value of breast MRI omics features and clinical characteristics in Breast Imaging Reporting and Data System (BI-RADS) category 4 breast lesions: an analysis of radiomics-based diagnosis.
Cui Q; Sun L; Zhang Y; Zhao Z; Li S; Liu Y; Ge H; Qin D; Zhao Y
Ann Transl Med; 2021 Nov; 9(22):1677. PubMed ID: 34988186
[TBL] [Abstract][Full Text] [Related]
17. Role of combined clinical-radiomics model based on contrast-enhanced MRI in predicting the malignancy of breast non-mass enhancements without an additional diffusion-weighted imaging sequence.
Li Y; Yang Z; Lv W; Qin Y; Tang C; Yan X; Yin T; Ai T; Xia L
Quant Imaging Med Surg; 2023 Sep; 13(9):5974-5985. PubMed ID: 37711822
[TBL] [Abstract][Full Text] [Related]
18. [Differential diagnosis model of benign and malignant breast BI-RADS category 4 nodules based on serum SP70 and conventional laboratory indicators].
Ding HM; Xu J; Wang F; Zhang Q; Pan H; Mu Y; Gu CR; Miao SX; Li XN; Ju HY; Wang L; Pan SY
Zhonghua Yu Fang Yi Xue Za Zhi; 2022 Dec; 56(12):1774-1783. PubMed ID: 36536565
[No Abstract] [Full Text] [Related]
19. An MRI-Based Radiomics Model for Predicting the Benignity and Malignancy of BI-RADS 4 Breast Lesions.
Zhang R; Wei W; Li R; Li J; Zhou Z; Ma M; Zhao R; Zhao X
Front Oncol; 2021; 11():733260. PubMed ID: 35155178
[TBL] [Abstract][Full Text] [Related]
20. Prediction of the Malignancy of a Breast Lesion Detected on Breast Ultrasound: Radiomics Applied to Clinical Practice.
Nicosia L; Pesapane F; Bozzini AC; Latronico A; Rotili A; Ferrari F; Signorelli G; Raimondi S; Vignati S; Gaeta A; Bellerba F; Origgi D; De Marco P; Castiglione Minischetti G; Sangalli C; Montesano M; Palma S; Cassano E
Cancers (Basel); 2023 Feb; 15(3):. PubMed ID: 36765921
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
