BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

185 related articles for article (PubMed ID: 36576543)

  • 21. Noninvasive prediction of lymph node status for patients with early-stage cervical cancer based on radiomics features from ultrasound images.
    Jin X; Ai Y; Zhang J; Zhu H; Jin J; Teng Y; Chen B; Xie C
    Eur Radiol; 2020 Jul; 30(7):4117-4124. PubMed ID: 32078013
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Special issue "The advance of solid tumor research in China": Prognosis prediction for stage II colorectal cancer by fusing computed tomography radiomics and deep-learning features of primary lesions and peripheral lymph nodes.
    Li M; Gong J; Bao Y; Huang D; Peng J; Tong T
    Int J Cancer; 2023 Jan; 152(1):31-41. PubMed ID: 35484979
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Radiomics allows for detection of benign and malignant histopathology in patients with metastatic testicular germ cell tumors prior to post-chemotherapy retroperitoneal lymph node dissection.
    Baessler B; Nestler T; Pinto Dos Santos D; Paffenholz P; Zeuch V; Pfister D; Maintz D; Heidenreich A
    Eur Radiol; 2020 Apr; 30(4):2334-2345. PubMed ID: 31828413
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Deep neural network-assisted computed tomography diagnosis of metastatic lymph nodes from gastric cancer.
    Gao Y; Zhang ZD; Li S; Guo YT; Wu QY; Liu SH; Yang SJ; Ding L; Zhao BC; Li S; Lu Y
    Chin Med J (Engl); 2019 Dec; 132(23):2804-2811. PubMed ID: 31856051
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A deep learning nomogram kit for predicting metastatic lymph nodes in rectal cancer.
    Ding L; Liu G; Zhang X; Liu S; Li S; Zhang Z; Guo Y; Lu Y
    Cancer Med; 2020 Dec; 9(23):8809-8820. PubMed ID: 32997900
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. Preoperative assessment of lymph node metastasis in Colon Cancer patients using machine learning: a pilot study.
    Eresen A; Li Y; Yang J; Shangguan J; Velichko Y; Yaghmai V; Benson AB; Zhang Z
    Cancer Imaging; 2020 Apr; 20(1):30. PubMed ID: 32334635
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Diagnosis of cervical lymph node metastasis with thyroid carcinoma by deep learning application to CT images.
    Wang T; Yan D; Liu Z; Xiao L; Liang C; Xin H; Feng M; Zhao Z; Wang Y
    Front Oncol; 2023; 13():1099104. PubMed ID: 36776294
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Prediction of lymph node metastasis in stage T1-2 rectal cancers with MRI-based deep learning.
    Wan L; Hu J; Chen S; Zhao R; Peng W; Liu Y; Hu S; Zou S; Wang S; Zhao X; Zhang H
    Eur Radiol; 2023 May; 33(5):3638-3646. PubMed ID: 36905470
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Deep learning to predict lymph node status on pre-operative staging CT in patients with colon cancer.
    Bedrikovetski S; Zhang J; Seow W; Traeger L; Moore JW; Verjans J; Carneiro G; Sammour T
    J Med Imaging Radiat Oncol; 2024 Feb; 68(1):33-40. PubMed ID: 37724420
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Automatic detection of cervical lymph nodes in patients with oral squamous cell carcinoma using a deep learning technique: a preliminary study.
    Ariji Y; Fukuda M; Nozawa M; Kuwada C; Goto M; Ishibashi K; Nakayama A; Sugita Y; Nagao T; Ariji E
    Oral Radiol; 2021 Apr; 37(2):290-296. PubMed ID: 32506212
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Computer-aided diagnostic models to classify lymph node metastasis and lymphoma involvement in enlarged cervical lymph nodes using PET/CT.
    Yang Y; Zheng B; Li Y; Li Y; Ma X
    Med Phys; 2023 Jan; 50(1):152-162. PubMed ID: 35925871
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Development of a Deep Learning Model to Identify Lymph Node Metastasis on Magnetic Resonance Imaging in Patients With Cervical Cancer.
    Wu Q; Wang S; Zhang S; Wang M; Ding Y; Fang J; Wu Q; Qian W; Liu Z; Sun K; Jin Y; Ma H; Tian J
    JAMA Netw Open; 2020 Jul; 3(7):e2011625. PubMed ID: 32706384
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Machine learning-based MRI texture analysis to predict occult lymph node metastasis in early-stage oral tongue squamous cell carcinoma.
    Yuan Y; Ren J; Tao X
    Eur Radiol; 2021 Sep; 31(9):6429-6437. PubMed ID: 33569617
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Performance of CT-based deep learning in diagnostic assessment of suspicious lateral lymph nodes in papillary thyroid cancer: a prospective diagnostic study.
    Zheng G; Zhang H; Lin F; Zafereo M; Gross N; Sun P; Liu Y; Sun H; Wu G; Wei S; Wu J; Mao N; Li G; Wu G; Zheng H; Song X
    Int J Surg; 2023 Nov; 109(11):3337-3345. PubMed ID: 37578434
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Deep learning combined with radiomics for the classification of enlarged cervical lymph nodes.
    Zhang W; Peng J; Zhao S; Wu W; Yang J; Ye J; Xu S
    J Cancer Res Clin Oncol; 2022 Oct; 148(10):2773-2780. PubMed ID: 35562596
    [TBL] [Abstract][Full Text] [Related]  

  • 37. [Establishment of artificial neural network model for predicting lymph node metastasis in patients with stage Ⅱ-Ⅲ gastric cancer].
    Xue Z; Lu J; Lin J; Huang CM; Li P; Xie JW; Wang JB; Lin JX; Chen QY; Zheng CH
    Zhonghua Wei Chang Wai Ke Za Zhi; 2022 Apr; 25(4):327-335. PubMed ID: 35461201
    [No Abstract]   [Full Text] [Related]  

  • 38. Integrated FDG-PET/CT compared with intravenous contrast-enhanced CT for evaluation of metastatic regional lymph nodes in patients with resectable early stage esophageal cancer.
    Okada M; Murakami T; Kumano S; Kuwabara M; Shimono T; Hosono M; Shiozaki H
    Ann Nucl Med; 2009 Jan; 23(1):73-80. PubMed ID: 19205841
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Integrating Preoperative Computed Tomography and Clinical Factors for Lymph Node Metastasis Prediction in Esophageal Squamous Cell Carcinoma by Feature-Wise Attentional Graph Neural Network.
    Ding M; Cui H; Li B; Zou B; Fan B; Ma L; Wang Z; Li W; Yu J; Wang L
    Int J Radiat Oncol Biol Phys; 2023 Jul; 116(3):676-689. PubMed ID: 36641040
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Pre-operative contrast enhanced computer tomographic evaluation of cervical nodal metastatic disease in oral squamous cell carcinoma.
    Pandeshwar P; Jayanthi K; Raghuram P
    Indian J Cancer; 2013; 50(4):310-5. PubMed ID: 24369206
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.