110 related articles for article (PubMed ID: 38275274)
1. Development and validation of nomograms using photoacoustic imaging and 2D ultrasound to predict breast nodule benignity and malignancy.
Chen J; Huang Z; Luo H; Li G; Ding Z; Tian H; Tang S; Mo S; Xu J; Wu H; Dong F
Postgrad Med J; 2024 Apr; 100(1183):309-318. PubMed ID: 38275274
[TBL] [Abstract][Full Text] [Related]
2. Assessment of Oxygen Saturation in Breast Lesions Using Photoacoustic Imaging: Correlation With Benign and Malignant Disease.
Huang Z; Tian H; Luo H; Yang K; Chen J; Li G; Ding Z; Luo Y; Tang S; Xu J; Wu H; Dong F
Clin Breast Cancer; 2024 Jun; 24(4):e210-e218.e1. PubMed ID: 38423948
[TBL] [Abstract][Full Text] [Related]
3. [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]
4. Nomogram combining clinical and radiological characteristics for predicting the malignant probability of solitary pulmonary nodules measuring ≤ 2 cm.
Xue M; Li R; Wang K; Liu W; Liu J; Li Z; Ma Z; Zhang H; Tian H; Tian Y
Front Oncol; 2023; 13():1196778. PubMed ID: 37795448
[TBL] [Abstract][Full Text] [Related]
5. Development and validation of an ultrasound-based nomogram to improve the diagnostic accuracy for malignant thyroid nodules.
Guo BL; Ouyang FS; Ouyang LZ; Liu ZW; Lin SJ; Meng W; Huang XY; Chen HX; Yang SM; Hu QG
Eur Radiol; 2019 Mar; 29(3):1518-1526. PubMed ID: 30209592
[TBL] [Abstract][Full Text] [Related]
6. Evaluation of Radiomics Models Based on Computed Tomography for Distinguishing Between Benign and Malignant Thyroid Nodules.
Kong D; Zhang J; Shan W; Duan S; Guo L
J Comput Assist Tomogr; 2022 Nov-Dec 01; 46(6):978-985. PubMed ID: 35759774
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Intra- and peritumoral radiomics for predicting malignant BiRADS category 4 breast lesions on contrast-enhanced spectral mammography: a multicenter study.
Zhang S; Shao H; Li W; Zhang H; Lin F; Zhang Q; Zhang H; Wang Z; Gao J; Zhang R; Gu Y; Wang Y; Mao N; Xie H
Eur Radiol; 2023 Aug; 33(8):5411-5422. PubMed ID: 37014410
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. The diagnostic value of a nomogram based on multimodal ultrasonography for thyroid-nodule differentiation: A multicenter study.
Yi D; Fan L; Zhu J; Yao J; Peng C; Xu D
Front Oncol; 2022; 12():970758. PubMed ID: 36059607
[TBL] [Abstract][Full Text] [Related]
11. Ultrasound-based comparative analysis and nomogram development for predicting triple-negative and non-triple-negative breast cancer: a 4-year institutional study in Quanzhou First Hospital.
Su L; Xie Q; Chen J; Zhang Q; Li N; Hong C
BMJ Open; 2024 Jun; 14(6):e085340. PubMed ID: 38871659
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Clinical value of grayscale ultrasound combined with real-time shear wave elastography nomogram in risk prediction of thyroid cancer.
Ren T; Jiang M; Wu J; Zhang F; Zhang C
BMC Med Imaging; 2023 Sep; 23(1):123. PubMed ID: 37700270
[TBL] [Abstract][Full Text] [Related]
14. Construction and validation of a nomogram for predicting prolonged air leak after minimally invasive pulmonary resection.
Li R; Xue M; Ma Z; Qu C; Wang K; Zhang Y; Yue W; Zhang H; Tian H
World J Surg Oncol; 2022 Aug; 20(1):249. PubMed ID: 35922824
[TBL] [Abstract][Full Text] [Related]
15. Developing a multi-institutional nomogram for assessing lung cancer risk in patients with 5-30 mm pulmonary nodules: a retrospective analysis.
Jiang Y; Deng T; Huang Y; Ren B; He L; Pang M; Jiang L
PeerJ; 2023; 11():e16539. PubMed ID: 38107565
[TBL] [Abstract][Full Text] [Related]
16. [Development and validation of a prognostic model for patients with sepsis in intensive care unit].
Jiang Z; Wang H; Wang S; Guan C; Qu Y
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Aug; 35(8):800-806. PubMed ID: 37593856
[TBL] [Abstract][Full Text] [Related]
17. A nomogram model for predicting 5-year risk of prediabetes in Chinese adults.
Hu Y; Han Y; Liu Y; Cui Y; Ni Z; Wei L; Cao C; Hu H; He Y
Sci Rep; 2023 Dec; 13(1):22523. PubMed ID: 38110661
[TBL] [Abstract][Full Text] [Related]
18. Development and Validation of a Risk-Prediction Nomogram for Preoperative Blood Type and Antibody Testing in Spinal Fusion Surgery.
Wu L; Peng X; Zhuo X; Zhu G; Xie X
Orthop Surg; 2024 Jan; 16(1):111-122. PubMed ID: 38044447
[TBL] [Abstract][Full Text] [Related]
19. Development and validation of a prediction model for malignant pulmonary nodules: A cohort study.
Ren Z; Ding H; Cai Z; Mu Y; Wang L; Pan S
Medicine (Baltimore); 2021 Dec; 100(51):e28110. PubMed ID: 34941053
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]