# Cervical cancer in the modern era: cutting-edge strategies for diagnosis and treatment

**Authors:** Tsukasa Saida, Takashi Saitoh, Ayumi Shikama, Michitaka Hayashi, Taichi Ishikawa, Mami Iima, Takahito Nakajima, Shinji Naganawa

PMC · DOI: 10.1007/s11604-025-01897-0 · Japanese Journal of Radiology · 2025-10-28

## TL;DR

This review discusses new diagnostic and treatment strategies for cervical cancer, including AI and personalized therapies.

## Contribution

The paper provides a comprehensive overview of recent innovations in cervical cancer diagnosis and treatment.

## Key findings

- Artificial intelligence-assisted imaging is emerging as a promising tool for cervical cancer diagnosis.
- Targeted molecular therapies and personalized radiotherapy are being explored to improve patient outcomes.
- Advances in histopathological classification based on HPV association are shaping modern diagnostic approaches.

## Abstract

Cervical cancer remains a major cause of mortality among women worldwide, highlighting the need for advances in diagnostic and therapeutic strategies. This review provides a comprehensive overview of recent developments in histopathological classification based on human papillomavirus association, as well as progress in imaging and treatment approaches supported by current research. Emerging technologies, such as artificial intelligence-assisted imaging, targeted molecular therapies, and personalized radiotherapy, hold substantial promise for improving patient outcomes. These innovations offer new possibilities for precision medicine in cervical cancer care, and their current applications are discussed in this review.

## Linked entities

- **Diseases:** cervical cancer (MONDO:0002974)

## Full-text entities

- **Diseases:** Cervical cancer (MESH:D002583)
- **Species:** Homo sapiens (human, species) [taxon 9606], Human papillomavirus (species) [taxon 10566]

## Full text

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## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12948801/full.md

## References

2 references — full list in the complete paper: https://tomesphere.com/paper/PMC12948801/full.md

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Source: https://tomesphere.com/paper/PMC12948801