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1,644 results on '"Nasopharyngeal Neoplasms diagnostic imaging"'

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1. Robust optimization incorporating weekly predicted anatomical CTs in IMPT of nasopharyngeal cancer.

2. Deep learning model using planar whole-body bone scintigraphy for diagnosis of skull base invasion in patients with nasopharyngeal carcinoma.

3. A multicenter dataset for lymph node clinical target volume delineation of nasopharyngeal carcinoma.

4. 68Ga-DOTATATE PET/CT Imaging of a Solitary Nasopharyngeal Metastasis of Merkel Cell Carcinoma.

5. Delta magnetic resonance imaging radiomics features‑based nomogram predicts long‑term efficacy after induction chemotherapy in locoregionally advanced nasopharyngeal carcinoma.

6. Letter to the editor, "The prognostic value of pretreatment 18 F-FDG PET-CT parameters with peripheral blood markers in patients with de novo metastatic nasopharyngeal carcinoma."

7. Radiomics-based nomogram guides adaptive de-intensification in locoregionally advanced nasopharyngeal carcinoma following induction chemotherapy.

8. Enhancing Nasopharyngeal Carcinoma Survival Prediction: Integrating Pre- and Post-Treatment MRI Radiomics with Clinical Data.

9. Novel prediction model combining PET/CT metabolic parameters, inflammation markers, and TNM stage: prospects for personalizing prognosis in nasopharyngeal carcinoma.

10. Integrative radiopathomics model for predicting progression-free survival in patients with nonmetastatic nasopharyngeal carcinoma.

11. Landmark-based auto-contouring of clinical target volumes for radiotherapy of nasopharyngeal cancer.

12. Prognostic value of sarcopenia in the patients with locally advanced nasopharyngeal carcinoma.

13. Fluoroscopy-Guided Balloon Dilation for Severe Nasopharyngeal Stenosis Resulting from Radiotherapy for Nasopharyngeal Carcinoma.

14. The prognostic value of pretreatment 18 F-FDG PET-CT parameters with peripheral blood markers in patients with de novo metastatic nasopharyngeal carcinoma.

15. A head-to-head comparison of [ 68 Ga]Ga-DOTATATE and [ 68 Ga]Ga-FAPI PET/CT in patients with nasopharyngeal carcinoma: a single-center, prospective study.

16. MMCA-NET: A Multimodal Cross Attention Transformer Network for Nasopharyngeal Carcinoma Tumor Segmentation Based on a Total-Body PET/CT System.

17. A pretreatment multiparametric MRI-based radiomics-clinical machine learning model for predicting radiation-induced temporal lobe injury in patients with nasopharyngeal carcinoma.

18. A systematic review of the predictive value of radiomics for nasopharyngeal carcinoma prognosis.

19. 68 Ga-DOTATATE PET/CT Detected Bone Metastasis Earlier Than 68 Ga-FAPI PET/CT and 99m Tc-MDP Bone Scintigraphy in a Patient With Nasopharyngeal Carcinoma.

20. Skull Base Aspergillus Infection Mimicking Tumor Recurrence: A Nasopharyngeal Carcinoma Case Study.

21. Radiomic signatures associated with tumor immune heterogeneity predict survival in locally recurrent nasopharyngeal carcinoma.

22. Remote assessment of cognition and quality of life following radiotherapy for nasopharyngeal carcinoma: deep-learning-based predictive models and MRI correlates.

23. Comparison of [ 18 F]FDG and [ 68  Ga]pentixafor PET/CT in Nasopharyngeal Carcinoma.

24. A novel fully automatic segmentation and counting system for metastatic lymph nodes on multimodal magnetic resonance imaging: Evaluation and prognostic implications in nasopharyngeal carcinoma.

25. Establishment of a visualized mouse orthotopic xenograft model of nasopharyngeal carcinoma.

26. Tumor habitat-based MRI features assessing early response in locally advanced nasopharyngeal carcinoma.

27. Noninvasive Photothermal Therapy of Nasopharyngeal Cancer Guided by High Efficiency Optical-Absorption Nanomaterial Enhanced by NIR-II Photoacoustic Imaging.

28. Lysosome-Targeted and pH-Activatable Phototheranostics for NIR-II Fluorescence Imaging-Guided Nasopharyngeal Carcinoma Phototherapy.

29. Predictive significance of pretreatment 18 F-FDG PET volumetric parameters on survival outcomes in pediatric patients with locally advanced undifferentiated nasopharyngeal carcinoma.

30. Magnetic resonance imaging based on radiomics for differentiating T1-category nasopharyngeal carcinoma from nasopharyngeal lymphoid hyperplasia: a multicenter study.

31. Impact of magnetic resonance imaging-derived skeletal muscle index in locoregionally advanced nasopharyngeal carcinoma.

32. Quantitative parameter analysis of pretreatment dual-energy computed tomography in nasopharyngeal carcinoma cervical lymph node characteristics and prediction of radiotherapy sensitivity.

33. Synthetic MRI and diffusion-weighted imaging for differentiating nasopharyngeal lymphoma from nasopharyngeal carcinoma: combination with morphological features.

34. The usefulness of narrow-band Imaging (NBI) in nasopharyngeal lesions-Validation of the Ni NBI classification dedicated for vascular pattern in the nasopharynx.

35. Nomograms based on multiparametric MRI radiomics integrated with clinical-radiological features for predicting the response to induction chemotherapy in nasopharyngeal carcinoma.

36. Individualized radiology screening for newly diagnosed nasopharyngeal carcinoma.

37. Semi-supervised model based on implicit neural representation and mutual learning (SIMN) for multi-center nasopharyngeal carcinoma segmentation on MRI.

38. Infrasellar Nasopharyngeal Craniopharyngiomas: An Individual Participant Data Meta-Analysis and Review of the Literature.

39. Matted Lymph Nodes on MRI in Nasopharyngeal Carcinoma: Prognostic Factor and Potential Indication for Induction Chemotherapy Benefits.

40. Causes of missed MRI diagnosis of radiotherapy-induced temporal lobe injury in nasopharyngeal carcinoma.

41. Early detection of nasopharyngeal carcinoma: performance of a short contrast-free screening magnetic resonance imaging.

42. Diagnosis of skull-base invasion by nasopharyngeal tumors on CT with a deep-learning approach.

43. MFNet: Meta-learning based on frequency-space mix for MRI segmentation in nasopharyngeal carcinoma.

44. A case of amelanotic nasopharyngeal melanoma.

45. A head-to-head comparison of 18 F-FDG PET/CT and 18 F-FDG PET/MR in patients with nasopharyngeal carcinoma under different disease settings.

46. Prognostic value of pre-treatment [ 18 F] FDG PET/CT in recurrent nasopharyngeal carcinoma without distant metastasis.

47. Pretreatment multiparametric MRI radiomics-integrated clinical hematological biomarkers can predict early rapid metastasis in patients with nasopharyngeal carcinoma.

48. WET-UNet: Wavelet integrated efficient transformer networks for nasopharyngeal carcinoma tumor segmentation.

49. Cross-site prognosis prediction for nasopharyngeal carcinoma from incomplete multi-modal data.

50. Imaging spectrum and complications of otogenic infections: insights into delayed diagnosis.

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