Despite the advancements in the field of oncology, cervical cancer remains a significant health challenge globally. Radiotherapy remains a cornerstone in the management of cervical cancer, extending beyond just postoperative settings.
In cases of locally advanced disease, a comprehensive treatment strategy often combines brachytherapy with external beam radiotherapy and systemic therapy. The success of radiotherapy hinges on various factors, such as the radiation type, dosage, treatment planning, and delivery techniques. Personalizing these elements to the unique clinical context of each patient is essential for maximizing therapeutic efficacy while minimizing side effects.
This topic seeks to collect manuscripts that focus on optimizing radiotherapy for cervical cancer, addressing efficacy, toxicity, and the integration of brachytherapy. We welcome submissions in various formats, including Original Research, Reviews, Hypotheses and Theories, Opinions, and Registered Clinical Trials. Contributions are encouraged on, but not limited to, the following areas:
- Radiotherapy optimization strategies for cervical cancer;
- Brachytherapy techniques and their impact on treatment outcomes;
- Management and prevention of radiotherapy-related toxicity, such as radiation-induced cystitis, proctitis, and myelosuppression;
- Personalized radiotherapy approaches based on individual patient factors;
- Technological advancements, including artificial intelligence, in radiotherapy delivery systems.
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.
Despite the advancements in the field of oncology, cervical cancer remains a significant health challenge globally. Radiotherapy remains a cornerstone in the management of cervical cancer, extending beyond just postoperative settings.
In cases of locally advanced disease, a comprehensive treatment strategy often combines brachytherapy with external beam radiotherapy and systemic therapy. The success of radiotherapy hinges on various factors, such as the radiation type, dosage, treatment planning, and delivery techniques. Personalizing these elements to the unique clinical context of each patient is essential for maximizing therapeutic efficacy while minimizing side effects.
This topic seeks to collect manuscripts that focus on optimizing radiotherapy for cervical cancer, addressing efficacy, toxicity, and the integration of brachytherapy. We welcome submissions in various formats, including Original Research, Reviews, Hypotheses and Theories, Opinions, and Registered Clinical Trials. Contributions are encouraged on, but not limited to, the following areas:
- Radiotherapy optimization strategies for cervical cancer;
- Brachytherapy techniques and their impact on treatment outcomes;
- Management and prevention of radiotherapy-related toxicity, such as radiation-induced cystitis, proctitis, and myelosuppression;
- Personalized radiotherapy approaches based on individual patient factors;
- Technological advancements, including artificial intelligence, in radiotherapy delivery systems.
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.