122 related articles for article (PubMed ID: 33438775)
1. Ultrasound-Based Nomogram for Distinguishing Malignant Tumors from Nodular Sclerosing Adenoses in Solid Breast Lesions.
Liang T; Cong S; Yi Z; Liu J; Huang C; Shen J; Pei S; Chen G; Liu Z
J Ultrasound Med; 2021 Oct; 40(10):2189-2200. PubMed ID: 33438775
[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. Nomogram based on the O-RADS for predicting the malignancy risk of adnexal masses with complex ultrasound morphology.
Gong LP; Li XY; Wu YN; Dong S; Zhang S; Feng YN; Lv YE; Guo XJ; Peng YQ; Du XS; Tian JW; Sun CX; Sun LT
J Ovarian Res; 2023 Mar; 16(1):57. PubMed ID: 36945000
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Risk-predicted dual nomograms consisting of clinical and ultrasound factors for downgrading BI-RADS category 4a breast lesions - A multiple centre study.
Niu Z; 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
J Cancer; 2021; 12(1):292-304. PubMed ID: 33391426
[No Abstract] [Full Text] [Related]
6. A Nomogram for Enhancing the Diagnostic Effectiveness of Solid Breast BI-RADS 3-5 Masses to Determine Malignancy Based on Imaging Aspects of Conventional Ultrasonography and Contrast-Enhanced Ultrasound.
Yan M; Peng C; He D; Xu D; Yang C
Clin Breast Cancer; 2023 Oct; 23(7):693-703. PubMed ID: 37394416
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. A bimodal nomogram as an adjunct tool to reduce unnecessary breast biopsy following discordant ultrasonic and mammographic BI-RADS assessment.
Xu Z; Lin Y; Huo J; Gao Y; Lu J; Liang Y; Li L; Jiang Z; Du L; Lang T; Wen G; Li Y
Eur Radiol; 2024 Apr; 34(4):2608-2618. PubMed ID: 37840099
[TBL] [Abstract][Full Text] [Related]
9. [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]
10. A new nomogram for predicting the malignant diagnosis of Breast Imaging Reporting and Data System (BI-RADS) ultrasonography category 4A lesions in women with dense breast tissue in the diagnostic setting.
Yang Y; Hu Y; Shen S; Jiang X; Gu R; Wang H; Liu F; Mei J; Liang J; Jia H; Liu Q; Gong C
Quant Imaging Med Surg; 2021 Jul; 11(7):3005-3017. PubMed ID: 34249630
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
[TBL] [Abstract][Full Text] [Related]
13. A ultrasonic nomogram of quantitative parameters for diagnosing breast cancer.
Wang C; Che Y
Sci Rep; 2023 Jul; 13(1):12340. PubMed ID: 37524926
[TBL] [Abstract][Full Text] [Related]
14. An integrated nomogram combining deep learning, Prostate Imaging-Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre study.
Hiremath A; Shiradkar R; Fu P; Mahran A; Rastinehad AR; Tewari A; Tirumani SH; Purysko A; Ponsky L; Madabhushi A
Lancet Digit Health; 2021 Jul; 3(7):e445-e454. PubMed ID: 34167765
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Development and Validation of a Nomogram for Predicting Breast Malignancy in Male Patients Based on Clinical and Ultrasound Features.
Dong WH; Wu G; Zhao N; Zhang J
Curr Radiopharm; 2024 Jan; ():. PubMed ID: 38288830
[TBL] [Abstract][Full Text] [Related]
17. Development and validation of a nomogram based on CT images and 3D texture analysis for preoperative prediction of the malignant potential in gastrointestinal stromal tumors.
Ren C; Wang S; Zhang S
Cancer Imaging; 2020 Jan; 20(1):5. PubMed ID: 31931874
[TBL] [Abstract][Full Text] [Related]
18. Development and validation of nomograms to accurately predict risk of recurrence for patients with laryngeal squamous cell carcinoma: Cohort study.
Cui J; Wang L; Tan G; Chen W; He G; Huang H; Chen Z; Yang H; Chen J; Liu G
Int J Surg; 2020 Apr; 76():163-170. PubMed ID: 32173614
[TBL] [Abstract][Full Text] [Related]
19. Development and internal validation of a conventional ultrasound-based nomogram for predicting malignant nonmasslike breast lesions.
Lin X; Zhuang S; Yang S; Lai D; Chen M; Zhang J
Quant Imaging Med Surg; 2022 Dec; 12(12):5452-5461. PubMed ID: 36465828
[TBL] [Abstract][Full Text] [Related]
20. A new ultrasound nomogram for differentiating benign and malignant thyroid nodules.
Chen L; Zhang J; Meng L; Lai Y; Huang W
Clin Endocrinol (Oxf); 2019 Feb; 90(2):351-359. PubMed ID: 30390403
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]