Optimizing Radiotherapy for Cervical Cancer Efficacy Toxicity and Brachytherapy Integration

Cervical cancer continues to pose a major global health burden, with radiotherapy playing a pivotal role in its management. While postoperative radiotherapy is a well-known application, its use in locally advanced stages of the disease often involves an integrated approach that combines brachytherapy, external beam radiotherapy, and systemic therapies. Optimal outcomes from radiotherapy rely heavily on tailoring the radiation type, dosage, and delivery techniques to the individual patient's clinical profile. This personalization is key to enhancing treatment efficacy and limiting adverse effects.

The aim of this Research Topic is to explore and document advances in radiotherapy for cervical cancer, with a special focus on refining treatment efficacy and reducing toxicity. It seeks to gather cutting-edge research that discusses innovative approaches to radiotherapy, including the utilization of brachytherapy and the latest technological advancements, such as artificial intelligence, in treatment planning and delivery. By highlighting these developments, this topic intends to contribute to the ongoing enhancement of therapy personalization and outcome optimization in cervical cancer care.

Submissions are encouraged that address a range of issues related to the optimization of radiotherapy in cervical cancer, including:

- Strategies for optimizing radiotherapy settings and personalizing treatments to individual patient needs.
- Innovations and outcomes associated with brachytherapy techniques.
- Management and mitigation strategies for radiotherapy-induced complications such as cystitis, proctitis, and myelosuppression.
- The role of emerging technologies, like artificial intelligence, in refining radiotherapy planning and execution.

Through these contributions, this Research Topic aims to foster a deeper understanding of the complex interplay between radiotherapy modalities and patient-specific factors in the management of cervical cancer, promoting a more effective and nuanced approach to treatment.

Please note: Manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.

Keywords: cervical cancer, radiotherapy, brachytherapy, AI, Radiotherapy optimization

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.