Multimodality and temporal analysis of cervical cancer treatment response

Integrating texture features from multimodal imaging can improve cervical cancer prognostication and guide personalized treatment strategies. These findings support the potential of imaging biomarkers in optimizing therapy and reducing the diagnostic burden, contributing to more efficient and tailored cancer care.

Institutions

University of California, San Francisco (US)

Publication Details

Journal: Quantitative Imaging in Medicine and Surgery
Published: 2025-12-11
DOI: https://doi.org/10.21037/qims-24-1775
Primary Topic: Endometrial and Cervical Cancer Treatments
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Multimodality and temporal analysis of cervical cancer treatment response

Dec 11, 2025

Quantitative Imaging in Medicine and Surgery

Endometrial and Cervical Cancer Treatments

article

Multimodality and temporal analysis of cervical cancer treatment response

December 11, 2025article en

Abstract

Quantitative Imaging in Medicine and SurgeryVol. 16(1)

University of California, San Francisco (US)

Good health and well-being

Openalex Percentile: Top 28%

Endometrial and Cervical Cancer Treatments

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Multimodality and temporal analysis of cervical cancer treatment response · Quantitative Imaging in Medicine and Surgery (2025) | TGRS Research Map | TGRS