Cervical cancer is one of the most common malignancies of the female reproductive system, with the fourth highest morbidity and mortality rate worldwide. Current clinical studies in cervical cancer focus on screening and early diagnosis in high-risk populations, emphasizing the necessity of developing advanced imaging for precise diagnosis. Since the treatment and prognosis of cervical cancer patients are closely related to pre-operative staging, the proper staging of tumor is of great significance. Recently, emerging tumor imaging technologies have made outstanding progress in the detection of early tumor infiltration and lymph node status, surgical navigation, and the prediction of prognosis. In vivo imaging technology based on fluorescent nanoprobe offers more possibilities to visualize tumor progression in living animal models and holds promise for future clinical applications. However, further evidence is required to confirm the efficacy and safety of these advanced imaging techniques in the diagnosis and treatment of cervical cancer.
This research topic aims to provide a platform to discuss the clinical efficacy and advances in the application of advanced imaging for screening and diagnosis of microtumors, lymph node metastasis, and parametrial infiltration of cervical cancer, as well as surgical navigation and evaluation of patient prognosis. Submissions covering but not limited to the following are welcome:
1) Novel imaging technologies for the screening and diagnosis of cervical cancer, including near-infrared (NIR) fluorescence imaging or others
2) New combination of imaging modalities and multimodal imaging in the pre-operative staging of cervical cancer
3) Application of advanced imaging technology in surgical navigation for cervical cancer
4) Exploration of new imaging techniques for the prognosis prediction of cervical cancer patients
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.
Cervical cancer is one of the most common malignancies of the female reproductive system, with the fourth highest morbidity and mortality rate worldwide. Current clinical studies in cervical cancer focus on screening and early diagnosis in high-risk populations, emphasizing the necessity of developing advanced imaging for precise diagnosis. Since the treatment and prognosis of cervical cancer patients are closely related to pre-operative staging, the proper staging of tumor is of great significance. Recently, emerging tumor imaging technologies have made outstanding progress in the detection of early tumor infiltration and lymph node status, surgical navigation, and the prediction of prognosis. In vivo imaging technology based on fluorescent nanoprobe offers more possibilities to visualize tumor progression in living animal models and holds promise for future clinical applications. However, further evidence is required to confirm the efficacy and safety of these advanced imaging techniques in the diagnosis and treatment of cervical cancer.
This research topic aims to provide a platform to discuss the clinical efficacy and advances in the application of advanced imaging for screening and diagnosis of microtumors, lymph node metastasis, and parametrial infiltration of cervical cancer, as well as surgical navigation and evaluation of patient prognosis. Submissions covering but not limited to the following are welcome:
1) Novel imaging technologies for the screening and diagnosis of cervical cancer, including near-infrared (NIR) fluorescence imaging or others
2) New combination of imaging modalities and multimodal imaging in the pre-operative staging of cervical cancer
3) Application of advanced imaging technology in surgical navigation for cervical cancer
4) Exploration of new imaging techniques for the prognosis prediction of cervical cancer patients
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.