223 related articles for article (PubMed ID: 30232350)
41. Extranodal extension is a criterion for poor outcome in patients with metastatic nodes from cancer of the nasopharynx.
Ai QY; King AD; Poon DMC; Mo FKF; Hui EP; Tong M; Ahuja AT; Ma BBY; Chan ATC
Oral Oncol; 2019 Jan; 88():124-130. PubMed ID: 30616782
[TBL] [Abstract][Full Text] [Related]
42. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
Tong N; Gou S; Yang S; Ruan D; Sheng K
Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
[TBL] [Abstract][Full Text] [Related]
43. Artificial neural network models to predict nodal status in clinically node-negative breast cancer.
Dihge L; Ohlsson M; Edén P; Bendahl PO; Rydén L
BMC Cancer; 2019 Jun; 19(1):610. PubMed ID: 31226956
[TBL] [Abstract][Full Text] [Related]
44. Prognostic significance of extranodal extension in oral cavity squamous cell carcinoma with occult neck metastases.
Mamic M; Lucijanic M; Manojlovic L; Muller D; Suton P; Luksic I
Int J Oral Maxillofac Surg; 2021 Mar; 50(3):309-315. PubMed ID: 32713777
[TBL] [Abstract][Full Text] [Related]
45. Prediction of extranodal extension in oropharyngeal cancer patients and carcinoma of unknown primary: value of metabolic tumor imaging with hybrid PET compared with MRI and CT.
Nemmour A; Stadler TM; Maurer A; Kovacs Z; Serrallach B; Born D; Nemes CM; Broglie MA; Pazahr S; Rupp NJ; Hüllner MW; Stoeckli SJ; Morand GB
Eur Arch Otorhinolaryngol; 2023 Apr; 280(4):1973-1981. PubMed ID: 36471046
[TBL] [Abstract][Full Text] [Related]
46. Predicting Lymph Node Metastasis in Head and Neck Cancer by Combining Many-objective Radiomics and 3-dimensioal Convolutional Neural Network through Evidential Reasoning.
Zhou Z; Chen L; Sher D; Zhang Q; Shah J; Pham NL; Jiang S; Wang J
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():1-4. PubMed ID: 30440295
[TBL] [Abstract][Full Text] [Related]
47. Predicting lymph node metastasis in patients with oropharyngeal cancer by using a convolutional neural network with associated epistemic and aleatoric uncertainty.
Dohopolski M; Chen L; Sher D; Wang J
Phys Med Biol; 2020 Nov; 65(22):225002. PubMed ID: 33179605
[TBL] [Abstract][Full Text] [Related]
48. 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]
49. Accuracy of contrast-enhanced CT and predictive factors for extracapsular spread in unknown primary head and neck squamous cell cancer.
Douglas C; Crosbie R; Young D; Montgomery J; O'Neill G; McArthur C
Clin Radiol; 2020 Jan; 75(1):77.e23-77.e28. PubMed ID: 31679816
[TBL] [Abstract][Full Text] [Related]
50. Preoperative
Cho JK; Ow TJ; Lee AY; Smith RV; Schlecht NF; Schiff BA; Tassler AB; Lin J; Moadel RM; Valdivia A; Abraham T; Gulko E; Neimark M; Ustun B; Bello JA; Shifteh K
Otolaryngol Head Neck Surg; 2017 Sep; 157(3):439-447. PubMed ID: 28608737
[TBL] [Abstract][Full Text] [Related]
51. Use of deep learning to predict the need for aggressive nutritional supplementation during head and neck radiotherapy.
Dohopolski M; Wang K; Morgan H; Sher D; Wang J
Radiother Oncol; 2022 Jun; 171():129-138. PubMed ID: 35461951
[TBL] [Abstract][Full Text] [Related]
52. Deep learning tools for the cancer clinic: an open-source framework with head and neck contour validation.
Asbach JC; Singh AK; Matott LS; Le AH
Radiat Oncol; 2022 Feb; 17(1):28. PubMed ID: 35135569
[TBL] [Abstract][Full Text] [Related]
53. Diffusion-weighted MRI for nodal staging of head and neck squamous cell carcinoma: impact on radiotherapy planning.
Dirix P; Vandecaveye V; De Keyzer F; Op de Beeck K; Poorten VV; Delaere P; Verbeken E; Hermans R; Nuyts S
Int J Radiat Oncol Biol Phys; 2010 Mar; 76(3):761-6. PubMed ID: 19540069
[TBL] [Abstract][Full Text] [Related]
54. Calcified nodal metastasis from squamous cell carcinoma of the head and neck.
Gormly K; Glastonbury CM
Australas Radiol; 2004 Jun; 48(2):240-2. PubMed ID: 15230765
[TBL] [Abstract][Full Text] [Related]
55. A comparative diagnostic study of head and neck nodal metastases using positron emission tomography.
McGuirt WF; Williams DW; Keyes JW; Greven KM; Watson NE; Geisinger KR; Cappellari JO
Laryngoscope; 1995 Apr; 105(4 Pt 1):373-5. PubMed ID: 7715380
[TBL] [Abstract][Full Text] [Related]
56. Prognostic Value of Radiologic Extranodal Extension in Human Papillomavirus-Related Oropharyngeal Squamous Cell Carcinoma.
Lee B; Choi YJ; Kim SO; Lee YS; Hong JY; Baek JH; Lee JH
Korean J Radiol; 2019 Aug; 20(8):1266-1274. PubMed ID: 31339014
[TBL] [Abstract][Full Text] [Related]
57. Prognostic significance of extranodal extension of regional lymph node metastasis in papillary thyroid cancer.
Wu MH; Shen WT; Gosnell J; Duh QY
Head Neck; 2015 Sep; 37(9):1336-43. PubMed ID: 24821456
[TBL] [Abstract][Full Text] [Related]
58. Computed tomography and magnetic resonance imaging of cervical metastasis.
Lydiatt DD; Markin RS; Williams SM; Davis LF; Yonkers AJ
Otolaryngol Head Neck Surg; 1989 Oct; 101(4):422-5. PubMed ID: 2508017
[TBL] [Abstract][Full Text] [Related]
59. Deep learning analysis of the primary tumour and the prediction of lymph node metastases in gastric cancer.
Jin C; Jiang Y; Yu H; Wang W; Li B; Chen C; Yuan Q; Hu Y; Xu Y; Zhou Z; Li G; Li R
Br J Surg; 2021 May; 108(5):542-549. PubMed ID: 34043780
[TBL] [Abstract][Full Text] [Related]
60. Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer.
Li J; Dong D; Fang M; Wang R; Tian J; Li H; Gao J
Eur Radiol; 2020 Apr; 30(4):2324-2333. PubMed ID: 31953668
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
