These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

287 related articles for article (PubMed ID: 37798591)

  • 1. Predicting the risk stratification of gastrointestinal stromal tumors using machine learning-based ultrasound radiomics.
    Zhuo M; Tang Y; Guo J; Qian Q; Xue E; Chen Z
    J Med Ultrason (2001); 2024 Jan; 51(1):71-82. PubMed ID: 37798591
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics.
    Mao B; Ma J; Duan S; Xia Y; Tao Y; Zhang L
    Eur Radiol; 2021 Jul; 31(7):4576-4586. PubMed ID: 33447862
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Preoperative CT-based radiomics and deep learning model for predicting risk stratification of gastric gastrointestinal stromal tumors.
    Yang P; Wu J; Liu M; Zheng Y; Zhao X; Mao Y
    Med Phys; 2024 Jun; ():. PubMed ID: 38935330
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparative assessment of the capability of machine learning-based radiomic models for predicting omental metastasis in locally advanced gastric cancer.
    Wu A; Luo L; Zeng Q; Wu C; Shu X; Huang P; Wang Z; Hu T; Feng Z; Tu Y; Zhu Y; Cao Y; Li Z
    Sci Rep; 2024 Jul; 14(1):16208. PubMed ID: 39003337
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Machine learning model based on enhanced CT radiomics for the preoperative prediction of lymphovascular invasion in esophageal squamous cell carcinoma.
    Wang Y; Bai G; Huang M; Chen W
    Front Oncol; 2024; 14():1308317. PubMed ID: 38549935
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Develop a radiomics-based machine learning model to predict the stone-free rate post-percutaneous nephrolithotomy.
    Zou XC; Luo CW; Yuan RM; Jin MN; Zeng T; Chao HC
    Urolithiasis; 2024 Apr; 52(1):64. PubMed ID: 38613668
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Computed-Tomography-Based Radiomics Model for Predicting the Malignant Potential of Gastrointestinal Stromal Tumors Preoperatively: A Multi-Classifier and Multicenter Study.
    Wang M; Feng Z; Zhou L; Zhang L; Hao X; Zhai J
    Front Oncol; 2021; 11():582847. PubMed ID: 33968714
    [No Abstract]   [Full Text] [Related]  

  • 8. [Evaluation of extravascular lung water index in critically ill patients based on lung ultrasound radiomics analysis combined with machine learning].
    Meng W; Zhang C; Hu J; Tang Z
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Oct; 35(10):1074-1079. PubMed ID: 37873713
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Non-Contrasted CT Radiomics for SAH Prognosis Prediction.
    Shan D; Wang J; Qi P; Lu J; Wang D
    Bioengineering (Basel); 2023 Aug; 10(8):. PubMed ID: 37627852
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of radiomics-based machine-learning classifiers for the pretreatment prediction of pathologic complete response to neoadjuvant therapy in breast cancer.
    Li X; Li C; Wang H; Jiang L; Chen M
    PeerJ; 2024; 12():e17683. PubMed ID: 39026540
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Value of contrast-enhanced CT based radiomic machine learning algorithm in differentiating gastrointestinal stromal tumors with KIT exon 11 mutation: a two-center study.
    Liu B; Liu H; Zhang L; Song Y; Yang S; Zheng Z; Zhao J; Hou F; Zhang J
    Diagn Interv Radiol; 2022 Jan; 28(1):29-38. PubMed ID: 35142612
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Application of machine learning-based multi-sequence MRI radiomics in diagnosing anterior cruciate ligament tears.
    Cheng Q; Lin H; Zhao J; Lu X; Wang Q
    J Orthop Surg Res; 2024 Jan; 19(1):99. PubMed ID: 38297322
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of Ki-67 expression in gastrointestinal stromal tumors using radiomics of plain and multiphase contrast-enhanced CT.
    Liu Y; He C; Fang W; Peng L; Shi F; Xia Y; Zhou Q; Zhang R; Li C
    Eur Radiol; 2023 Nov; 33(11):7609-7617. PubMed ID: 37266658
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multimodality radiomics prediction of radiotherapy-induced the early proctitis and cystitis in rectal cancer patients: a machine learning study.
    Abbaspour S; Barahman M; Abdollahi H; Arabalibeik H; Hajainfar G; Babaei M; Iraji H; Barzegartahamtan M; Ay MR; Mahdavi SR
    Biomed Phys Eng Express; 2023 Dec; 10(1):. PubMed ID: 37995359
    [No Abstract]   [Full Text] [Related]  

  • 16. Radiomics Nomogram Based on Contrast-enhanced CT to Predict the Malignant Potential of Gastrointestinal Stromal Tumor: A Two-center Study.
    Song Y; Li J; Wang H; Liu B; Yuan C; Liu H; Zheng Z; Min F; Li Y
    Acad Radiol; 2022 Jun; 29(6):806-816. PubMed ID: 34238656
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Ultrasound deep learning radiomics and clinical machine learning models to predict low nuclear grade, ER, PR, and HER2 receptor status in pure ductal carcinoma
    Zhu M; Kuang Y; Jiang Z; Liu J; Zhang H; Zhao H; Luo H; Chen Y; Peng Y
    Gland Surg; 2024 Apr; 13(4):512-527. PubMed ID: 38720675
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Development of a grading diagnostic model for schistosomiasis-induced liver fibrosis based on radiomics and clinical laboratory indicators].
    Guo Z; Shao J; Zou X; Zhao Q; Qian P; Wang W; Huang L; Xue J; Xu J; Yang K; Zhou X; Li S
    Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2024 Jun; 36(3):251-258. PubMed ID: 38952311
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Noninvasive prediction of lymph node metastasis in pancreatic cancer using an ultrasound-based clinicoradiomics machine learning model.
    Wen DY; Chen JM; Tang ZP; Pang JS; Qin Q; Zhang L; He Y; Yang H
    Biomed Eng Online; 2024 Jun; 23(1):56. PubMed ID: 38890695
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predictive Value of a Radiomics Nomogram Model Based on Contrast-Enhanced Computed Tomography for KIT Exon 9 Gene Mutation in Gastrointestinal Stromal Tumors.
    Wei Y; Lu Z; Ren Y
    Technol Cancer Res Treat; 2023; 22():15330338231181260. PubMed ID: 37296525
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.