174 related articles for article (PubMed ID: 36114765)
1. Radiomics based on magnetic resonance imaging for preoperative prediction of lymph node metastasis in head and neck cancer: Machine learning study.
Wang Y; Yu T; Yang Z; Zhou Y; Kang Z; Wang Y; Huang Z
Head Neck; 2022 Dec; 44(12):2786-2795. PubMed ID: 36114765
[TBL] [Abstract][Full Text] [Related]
2. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
[TBL] [Abstract][Full Text] [Related]
3. Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images.
Liu S; Zhou Y; Wang C; Shen J; Zheng Y
BMC Med Imaging; 2023 Aug; 23(1):101. PubMed ID: 37528338
[TBL] [Abstract][Full Text] [Related]
4. Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.
Tang Y; Yang CM; Su S; Wang WJ; Fan LP; Shu J
BMC Cancer; 2021 Nov; 21(1):1268. PubMed ID: 34819043
[TBL] [Abstract][Full Text] [Related]
5. Effectiveness of diffusion-weighted imaging in predicting cervical lymph node metastasis in head and neck malignancies.
Zhou Y; Yu T; Rui X; Jin T; Huang Z; Huang Z
Oral Surg Oral Med Oral Pathol Oral Radiol; 2021 Jan; 131(1):122-129.e2. PubMed ID: 32807714
[TBL] [Abstract][Full Text] [Related]
6. Radiomics analysis of magnetic resonance imaging improves diagnostic performance of lymph node metastasis in patients with cervical cancer.
Wu Q; Wang S; Chen X; Wang Y; Dong L; Liu Z; Tian J; Wang M
Radiother Oncol; 2019 Sep; 138():141-148. PubMed ID: 31252296
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Deep Learning Radiomics of Preoperative Breast MRI for Prediction of Axillary Lymph Node Metastasis in Breast Cancer.
Chen Y; Wang L; Dong X; Luo R; Ge Y; Liu H; Zhang Y; Wang D
J Digit Imaging; 2023 Aug; 36(4):1323-1331. PubMed ID: 36973631
[TBL] [Abstract][Full Text] [Related]
9. Multiparametric MRI-Based Radiomics Nomogram for Predicting Lymph Node Metastasis in Early-Stage Cervical Cancer.
Xiao M; Ma F; Li Y; Li Y; Li M; Zhang G; Qiang J
J Magn Reson Imaging; 2020 Sep; 52(3):885-896. PubMed ID: 32096586
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Evaluation of the diagnostic performance of apparent diffusion coefficient (ADC) values on diffusion-weighted magnetic resonance imaging (DWI) in differentiating between benign and metastatic lymph nodes in cases of cholangiocarcinoma.
Promsorn J; Soontrapa W; Somsap K; Chamadol N; Limpawattana P; Harisinghani M
Abdom Radiol (NY); 2019 Feb; 44(2):473-481. PubMed ID: 30151713
[TBL] [Abstract][Full Text] [Related]
12. Radiomics model of diffusion-weighted whole-body imaging with background signal suppression (DWIBS) for predicting axillary lymph node status in breast cancer.
Haraguchi T; Kobayashi Y; Hirahara D; Kobayashi T; Takaya E; Nagai MT; Tomita H; Okamoto J; Kanemaki Y; Tsugawa K
J Xray Sci Technol; 2023; 31(3):627-640. PubMed ID: 37038802
[TBL] [Abstract][Full Text] [Related]
13. Prediction of Axillary Lymph Node Metastasis in Early-stage Triple-Negative Breast Cancer Using Multiparametric and Radiomic Features of Breast MRI.
Song SE; Woo OH; Cho Y; Cho KR; Park KH; Kim JW
Acad Radiol; 2023 Sep; 30 Suppl 2():S25-S37. PubMed ID: 37331865
[TBL] [Abstract][Full Text] [Related]
14. Validity of 3-Tesla diffusion-weighted magnetic resonance imaging for distinction of reactive and metastatic lymph nodes in head-and-neck carcinoma.
Vijayalakshmi K; Raghuram PH; Saravanan K; Krithika CL; Kannan A
J Cancer Res Ther; 2020; 16(3):587-593. PubMed ID: 32719272
[TBL] [Abstract][Full Text] [Related]
15. Ultrasound-based radiomics machine learning models for diagnosing cervical lymph node metastasis in patients with non-small cell lung cancer: a multicentre study.
Deng Z; Liu X; Wu R; Yan H; Gou L; Hu W; Wan J; Song C; Chen J; Ma D; Zhou H; Tian D
BMC Cancer; 2024 Apr; 24(1):536. PubMed ID: 38678211
[TBL] [Abstract][Full Text] [Related]
16. Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics-Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer.
Yu Y; Tan Y; Xie C; Hu Q; Ouyang J; Chen Y; Gu Y; Li A; Lu N; He Z; Yang Y; Chen K; Ma J; Li C; Ma M; Li X; Zhang R; Zhong H; Ou Q; Zhang Y; He Y; Li G; Wu Z; Su F; Song E; Yao H
JAMA Netw Open; 2020 Dec; 3(12):e2028086. PubMed ID: 33289845
[TBL] [Abstract][Full Text] [Related]
17. Diagnostic Value of Diffusion Weighted Magnetic Resonance Imaging in Evaluation of Metastatic Neck Lymph Nodes in Head and Neck Cancer: A Sample of Iranian Patient.
Alamolhoda F; Faeghi F; Bakhshandeh M; Ahmadi A; Sanei Taheri M; Aabbasi S
Asian Pac J Cancer Prev; 2019 Jun; 20(6):1789-1795. PubMed ID: 31244301
[TBL] [Abstract][Full Text] [Related]
18. Lymph node metastasis in head and neck squamous carcinoma: Efficacy of intravoxel incoherent motion magnetic resonance imaging for the differential diagnosis.
Liang L; Luo X; Lian Z; Chen W; Zhang B; Dong Y; Liang C; Zhang S
Eur J Radiol; 2017 May; 90():159-165. PubMed ID: 28583628
[TBL] [Abstract][Full Text] [Related]
19. Magnetic resonance imaging (MRI) radiomics of papillary thyroid cancer (PTC): a comparison of predictive performance of multiple classifiers modeling to identify cervical lymph node metastases before surgery.
Qin H; Que Q; Lin P; Li X; Wang XR; He Y; Chen JQ; Yang H
Radiol Med; 2021 Oct; 126(10):1312-1327. PubMed ID: 34236572
[TBL] [Abstract][Full Text] [Related]
20. Roles of DWI and T2-weighted MRI volumetry in the evaluation of lymph node metastasis and lymphovascular invasion of stage IB-IIA cervical cancer.
Wang Y; Chen X; Pu H; Yuan Y; Li S; Chen G; Liu Y; Li H
Clin Radiol; 2022 Mar; 77(3):224-230. PubMed ID: 35000761
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]