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Optimizing Radiotherapy in Clinical Practice: Innovation and Outcomes

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Nuclear Medicine & Radiology".

Deadline for manuscript submissions: 20 July 2026 | Viewed by 738

Special Issue Editors


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Guest Editor
Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
Interests: radiotherapy safety and quality; respiratory-induced tumor motion management for radiotherapy; AI-assisted radiotherapy; radiation therapy accreditation; microwave imaging for radiotherapy

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Guest Editor
Department of Radiation Oncology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
Interests: molecular imaging; theranostics; radiopharmaceutical therapy dosimetry; spatially fractionated radiotherapy; IORT

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Guest Editor
Department of Radiation Oncology, University of Minnesota, Minneapolis, MN, USA
Interests: radiation oncology; radiotherapy

Special Issue Information

Dear Colleagues,

Radiation oncology is one of the most technologically dynamic fields in medicine, with innovations rapidly developed and adopted to improve cancer treatment outcomes while preserving patients’ quality of life. This Special Issue will highlight emerging state-of-the-art technologies that have the potential to transform clinical practice and deliver superior patient outcomes. We invite original research articles on clinical applications and innovations in areas such as AI-assisted radiotherapy, personalized radiopharmaceutical therapy, and online adaptive radiotherapy, where these innovations can advance radiotherapy more accurate, safer, and efficient (timely provision), ultimately leading to improved patient care.

Dr. Sarah Han-Oh
Dr. Senthamizhchelvan Srinivasan
Dr. Joseph Moore
Guest Editors

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Keywords

  • AI-assisted automated contouring and planning
  • AI-assisted quality assurance
  • AI-assisted safety and quality improvement
  • radiotherapy automation
  • radiomics
  • radiotherapy error detection
  • personalized radiopharmaceutical therapy
  • theranostics
  • online adaptive radiotherapy
  • real-time treatment adaptation
  • image-guided radiotherapy (IGRT)
  • AI-assisted online adaptation
  • personalized radiotherapy
  • cone-beam CT adaptation

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Published Papers (1 paper)

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Research

16 pages, 2276 KB  
Article
Diagnostic and Economic Evaluation of [18F]FDG PET/CT Versus MRI for Lymph Node Staging in Nasopharyngeal Carcinoma: Implications for Individualized Upper-Neck-Only Irradiation
by Ya-Nan Zhao, Xiao-Wen Lan, Yun He, Xiao-Hui Wang, Chun-Yan Chen, Xu Zhang, Pu-Yun Ouyang and Fang-Yun Xie
J. Clin. Med. 2026, 15(5), 1849; https://doi.org/10.3390/jcm15051849 - 28 Feb 2026
Viewed by 525
Abstract
Background/Objectives: To compare diagnostic performance and cost-effectiveness of [18F]FDG PET/CT versus MRI for cervical lymph node assessment in nasopharyngeal carcinoma (NPC) and to evaluate their impact on N-staging and upper-neck-only irradiation planning. Materials and Methods: We retrospectively identified treatment-naïve NPC patients [...] Read more.
Background/Objectives: To compare diagnostic performance and cost-effectiveness of [18F]FDG PET/CT versus MRI for cervical lymph node assessment in nasopharyngeal carcinoma (NPC) and to evaluate their impact on N-staging and upper-neck-only irradiation planning. Materials and Methods: We retrospectively identified treatment-naïve NPC patients who underwent both MRI and FDG PET/CT within 14 days prior to ultrasound-guided biopsy of specific cervical lymph nodes with rigorous one-to-one multimodal matching. Using histopathology as the reference standard (Cohort A, node level), sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC) were compared between PET/CT and MRI. In a staging cohort (Cohort B, patient level), we compared imaging-based N-staging accuracy and the pathology-concordant classification of treatment recommendations assuming upper-neck-only irradiation for N0 to N1 disease. In discordant cases (Cohort C), three experienced radiation oncologists designed dose prescriptions and neck irradiation volumes, first using MRI alone and then after reviewing PET/CT to quantify decision impact. A decision tree/Markov model (10-year horizon) evaluated cost-effectiveness of MRI- versus PET/CT-initiated strategies. Results: In total, 694 biopsy-verified lymph nodes from 649 patients were analyzed. PET/CT demonstrated higher sensitivity (96.0% vs. 92.6%, p = 0.001) and NPV (80.2% vs. 66.7%, p < 0.001) than MRI, with comparable specificity (64.0% vs. 59.0%, p = 0.317) and PPV (91.4% vs. 90.0%, p = 0.203); AUCs were 0.864 and 0.841, respectively (p = 0.298). In Cohort B (N = 503), PET/CT provided accurate N-staging for a significantly higher proportion of patients compared to MRI (8.0% vs. 4.2%, p = 0.021) and yielded more accurate recommendations for upper-neck-only irradiation when restricted to N0 to N1 disease (93.8% vs. 88.9%, p = 0.003). In discordant cases (Cohort C, N = 62), PET/CT substantially improved accuracy compared with MRI and prompted clinically meaningful plan adjustments, including dose escalation for metastatic nodes (up to 16.7%) and expansion from upper-neck-only to whole-neck irradiation with rates of 6.4%, 8.0%, and 11.3% for the three radiation oncologists, respectively. In the base case economic analysis, PET/CT achieved higher effectiveness (5.329 vs. 5.305 quality-adjusted life years [QALYs]) at higher cost (US$27,228 vs. US$25,596), with an incremental cost–effectiveness ratio (ICER) of approximately US$68,000 per QALY, remaining below a willingness-to-pay threshold of US$100,000 per QALY; probabilistic sensitivity analysis favored PET/CT in 79.6% of iterations. Conclusions: FDG PET/CT provided superior sensitivity and negative predictive value versus MRI for detecting nodal metastases in NPC, improving pathology-adjudicated N-staging and the accuracy of upper-neck-only irradiation recommendations. PET/CT was cost-effective in the modeled setting, although treatment de-escalation for benign nodes remained conservative in clinical decision-making. Full article
(This article belongs to the Special Issue Optimizing Radiotherapy in Clinical Practice: Innovation and Outcomes)
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