BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

153 related articles for article (PubMed ID: 38812784)

  • 21. Characterization of adnexal lesions using photoacoustic imaging to improve sonographic O-RADS risk assessment.
    Zhu Q; Luo H; Middleton WD; Itani M; Hagemann IS; Hagemann AR; Hoegger MJ; Thaker PH; Kuroki LM; MCourt CK; Mutch DG; Powell MA; Siegel CL
    Ultrasound Obstet Gynecol; 2023 Dec; 62(6):891-903. PubMed ID: 37606287
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. 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]  

  • 24. A novel diagnostic nomogram based on serological and ultrasound findings for preoperative prediction of malignancy in patients with ovarian masses.
    Guo Y; Jiang T; Ouyang L; Li X; He W; Zhang Z; Shen H; You Z; Yang G; Lai H
    Gynecol Oncol; 2021 Mar; 160(3):704-712. PubMed ID: 33357959
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Ultrasound Radiomics Nomogram to Diagnose Sub-Centimeter Thyroid Nodules Based on ACR TI-RADS.
    Lu W; Zhang D; Zhang Y; Qian X; Qian C; Wei Y; Xia Z; Ding W; Ni X
    Cancers (Basel); 2022 Oct; 14(19):. PubMed ID: 36230749
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Benign and malignant classification of breast tumor ultrasound images using conventional radiomics and transfer learning features: A multicenter retrospective study.
    Tian R; Lu G; Tang S; Sang L; Ma H; Qian W; Yang W
    Med Eng Phys; 2024 Mar; 125():104117. PubMed ID: 38508797
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. 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]  

  • 29. Added Value of Quantitative Analysis of Diffusion-Weighted Imaging in Ovarian-Adnexal Reporting and Data System Magnetic Resonance Imaging.
    Hottat NA; Badr DA; Van Pachterbeke C; Vanden Houte K; Denolin V; Jani JC; Cannie MM
    J Magn Reson Imaging; 2022 Jul; 56(1):158-170. PubMed ID: 34797013
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. Does Combing O-RADS US and CA-125 Improve Diagnostic Accuracy in Assessing Adnexal Malignancy Risk in Women With Different Menopausal Status?
    Wu M; Wang Q; Zhang M; Cao J; Chen Y; Zheng J; Luo L; Su M; Lin X; Kuang X; Zhang X
    J Ultrasound Med; 2023 Feb; 42(3):675-685. PubMed ID: 35880406
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Predicting N2 lymph node metastasis in presurgical stage I-II non-small cell lung cancer using multiview radiomics and deep learning method.
    Zhang H; Liao M; Guo Q; Chen J; Wang S; Liu S; Xiao F
    Med Phys; 2023 Apr; 50(4):2049-2060. PubMed ID: 36563341
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Ultrasound-based deep learning radiomics nomogram for risk stratification of testicular masses: a two-center study.
    Fang F; Sun Y; Huang H; Huang Y; Luo X; Yao W; Wei L; Xie G; Wu Y; Lu Z; Zhao J; Li C
    J Cancer Res Clin Oncol; 2024 Jan; 150(1):18. PubMed ID: 38240867
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Comparative diagnostic accuracy of the IOTA SRR and LR2 scoring systems for discriminating between malignant and Benign Adnexal masses by junior physicians in Chinese patients: a retrospective observational study.
    Tian C; Wen SB; Zhao CY; Yan XN; Du JX
    BMC Womens Health; 2023 Nov; 23(1):585. PubMed ID: 37940895
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Predicting the risk of malignancy in adnexal masses based on the Simple Rules from the International Ovarian Tumor Analysis group.
    Timmerman D; Van Calster B; Testa A; Savelli L; Fischerova D; Froyman W; Wynants L; Van Holsbeke C; Epstein E; Franchi D; Kaijser J; Czekierdowski A; Guerriero S; Fruscio R; Leone FPG; Rossi A; Landolfo C; Vergote I; Bourne T; Valentin L
    Am J Obstet Gynecol; 2016 Apr; 214(4):424-437. PubMed ID: 26800772
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Evaluation of American College of Radiology Ovarian-Adnexal Reporting and Data System ultrasound to predict malignancy risk in adnexal lesions.
    Li Y; Shao G; Wu M; Zhang F; Zhang Y; Shao C
    J Obstet Gynaecol Res; 2024 Feb; 50(2):225-232. PubMed ID: 37990446
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Applying machine-learning models to differentiate benign and malignant thyroid nodules classified as C-TIRADS 4 based on 2D-ultrasound combined with five contrast-enhanced ultrasound key frames.
    Chen JH; Zhang YQ; Zhu TT; Zhang Q; Zhao AX; Huang Y
    Front Endocrinol (Lausanne); 2024; 15():1299686. PubMed ID: 38633756
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Ovarian Adnexal Reporting Data System (O-RADS) for Classifying Adnexal Masses: A Systematic Review and Meta-Analysis.
    Vara J; Manzour N; Chacón E; López-Picazo A; Linares M; Pascual MÁ; Guerriero S; Alcázar JL
    Cancers (Basel); 2022 Jun; 14(13):. PubMed ID: 35804924
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Differentiation of acute and chronic vertebral compression fractures using conventional CT based on deep transfer learning features and hand-crafted radiomics features.
    Zhang J; Liu J; Liang Z; Xia L; Zhang W; Xing Y; Zhang X; Tang G
    BMC Musculoskelet Disord; 2023 Mar; 24(1):165. PubMed ID: 36879285
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.