ReviewThe British journal of radiology2021
Implications of the new FIGO staging and the role of imaging in cervical cancer.
Review in The British journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Ultrasound-Clinical Machine Learning Models for Differentiating Early Cervical Cancer from Myoma: A Retrospective Exploratory Study.Journal of clinical medicine · 2026Article
- Preoperative staging of cervical cancer: time to shift from cystoscopy to MRI.European radiology · 2026Article
- Prognostic Significance of Nomogram and T-Score in Locally Advanced Cervical Cancer Patients Treated with Curative Chemoradiotherapy and Image-Guided Brachytherapy: A Single-Center Retrospective Study.Diagnostics (Basel, Switzerland) · 2025Article
- Precision matters: the value of PET/CT and PET/MRI in the clinical management of cervical cancer.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2025Review
- Limited diagnostic performance of imaging evaluation for staging in gastric-type endocervical adenocarcinoma: a multi-center study.Japanese journal of radiology · 2025Article
- Re-evaluating prognostic factors for cervical cancer with lymph node metastasis: a Japanese multicenter cohort study based on FIGO 2018.International journal of clinical oncology · 2025Article
- Case Report: Misdiagnosis of cellular cervical adenomyoma.Frontiers in oncology · 2025Article
- Construction of the preoperative staging prediction model for cervical cancer based on deep learning and MRI: a retrospective study.Frontiers in oncology · 2025Article
- Comprehensive analysis of mRNA and lncRNA expression for predicting lymph node metastasis in cervical cancer: a novel seven-gene signature approach.Frontiers in genetics · 2025Article
- Prediction models for lymph node metastasis in cervical cancer based on preoperative heart rate variability.Frontiers in neuroscience · 2024Article
- Article
- An Update on the Role of MRI in Treatment Stratification of Patients with Cervical Cancer.Cancers · 2023Review
- Prediction of Recurrent Cervical Cancer in 2-Year Follow-Up After Treatment Based on Quantitative and Qualitative Magnetic Resonance Imaging Parameters: A Preliminary Study.Annals of surgical oncology · 2023Article
- Article
- Risk factors for the recurrence of cervical cancer using MR-based T1 mapping: A pilot study.Frontiers in oncology · 2023Article
- The feasibility of reduced field-of-view diffusion-weighted imaging in evaluating bladder invasion of uterine cervical cancer.The British journal of radiology · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
International Federation of Gynecology and Obstetrics (FIGO) staging, which is the fundamentally important cancer staging system for cervical cancer, has changed in 2018. New FIGO staging includes considerable progress in the incorporation of imaging findings for tumour size measurement and evaluating lymph node (LN) metastasis in addition to tumour extent evaluation. MRI with high spatial resolution is expected for tumour size measurements and the high accuracy of positron emmision tomography/CT for LN evaluation. The purpose of this review is firstly review the diagnostic ability of each imaging modality with the clinical background of those two factors newly added and the current state for LN evaluation. Secondly, we overview the fundamental imaging findings with characteristics of modalities and sequences in MRI for accurate diagnosis depending on the focus to be evaluated and for early detection of recurrent tumour. In addition, the role of images in treatment response and prognosis prediction is given with the development of recent technique of image analysis including radiomics and deep learning.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.