June 2026
1. ROBINSON P, Yokote M, Bar-On O
   Airway Imaging Practices in Primary Ciliary Dyskinesia: A Global Survey to Guide Standardized Guidelines.
   Br J Radiol. 2026 Jun 29:tqag156. doi: 10.1093.
   

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2. KANNA S R, Rana L, Chauhan NS, Kumar S, et al
   "Comparative diagnostic accuracy of dual-energy CT, diffusion-weighted MRI and chemical shift MRI in cervical lymph node metastasis in head and neck cancer".
   Br J Radiol. 2026 Jun 22:tqag153. doi: 10.1093.
   

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3. WEI X, Guo D, Li Y, Cai Y, et al
   "A Novel Prognostic Model Integrating the Skeletal Muscle Index and Systemic Immune-Inflammation Index Improves Outcome Prediction in Unresectable Esophageal Squamous Cell Carcinoma.".
   Br J Radiol. 2026 Jun 2:tqag110. doi: 10.1093.
   

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   March 2026
4. ZHANG Y, Hou Y, Liu Y, Huan F, et al
   Enhanced setup and positioning accuracy in nasopharyngeal carcinoma radiotherapy: A customized cushion/mask/bite-block immobilization approach.
   Br J Radiol. 2026 Mar 28:tqaf317. doi: 10.1093.
   

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   February 2026
5. ZHANG L, Yang B, Qu X, Huang C, et al
   PET/MR-derived parameters for predicting p53 status in hypopharyngeal squamous cell carcinoma: a preliminary study.
   Br J Radiol. 2026;99:359-366.
   

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   December 2025
6. ZHAN Y, Zhang C, Wang Y, Wang P, et al
   Multi-parametric Dual Energy CT Radiomics for Differentiating Laryngeal Benign and Malignant Lesions.
   Br J Radiol. 2025 Dec 17:tqaf311. doi: 10.1093.
   

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   September 2025
7. GU Q, Chen S, Dekker A, Wee L, et al
   Variational autoencoder-based deep learning and radiomics for predicting pathologic complete response to neoadjuvant chemoimmunotherapy in locally advanced esophageal squamous cell carcinoma.
   Br J Radiol. 2025 Sep 25:tqaf239. doi: 10.1093.
   

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   July 2025
8. YOUNG T, Butterworth V, Misson S, Adjogatse D, et al
   Real-World Performance Evaluation of Commercial Autocontouring Software for Head and Neck Cancer Radiotherapy.
   Br J Radiol. 2025 Jul 8:tqaf098. doi: 10.1093.
   

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   May 2025
9. KIHARA S, Ueda Y, Harada S, Masaoka A, et al
   Impact of contrast-enhanced agent on segmentation using a deep learning-based software "Ai-Seg" for head and neck cancer.
   Br J Radiol. 2025 May 26:tqaf108. doi: 10.1093.
   

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   March 2025
10. FAN F, Li F, Wang Y, Liu T, et al
    Deep learning based on ultrasound images predicting cervical lymph node metastasis in postoperative patients with differentiated thyroid carcinoma.
    Br J Radiol. 2025 Mar 12:tqaf047. doi: 10.1093.
    

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    November 2024
11. WANG L, Wang J, Wang T, Li Y, et al
    Patterns of treatment failure in patients with sinonasal squamous cell carcinoma after chemoradiotherapy.
    Br J Radiol. 2024;97:1870-1878.
    

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    October 2024
12. CHAKRABARTY N, Mahajan A, Agrawal A, Prabhash K, et al
    Comprehensive Review of Post-treatment Imaging in Head and Neck Cancers: From expected to unexpected and beyond.
    Br J Radiol. 2024 Oct 11:tqae207. doi: 10.1093.
    

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    June 2024
13. SCHARITZER M, Pokieser P, Ekberg O
    Oesophageal fluoroscopy in adults-when and why?
    Br J Radiol. 2024;97:1222-1233.
    

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    May 2024
14. YE BB, Liu YY, Zhang Y, Liu BJ, et al
    Predicting tall-cell subtype of papillary thyroid carcinomas independently with preoperative multimodal ultrasound.
    Br J Radiol. 2024 May 22:tqae103. doi: 10.1093.
    

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15. ZHANG H, Hu L, Qin F, Chang J, et al
    Synthetic MRI and diffusion-weighted imaging for differentiating nasopharyngeal lymphoma from nasopharyngeal carcinoma: combination with morphological features.
    Br J Radiol. 2024 May 11:tqae095. doi: 10.1093.
    

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    January 2024
16. LO ES, Kwok HM, Pan NY
    Imaging spectrum and complications of otogenic infections: insights into delayed diagnosis.
    Br J Radiol. 2024 Jan 13:tqae015. doi: 10.1093.
    

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