ArticleEuropean radiology2019
Prognostic model based on magnetic resonance imaging, whole-tumour apparent diffusion coefficient values and HPV genotyping for stage IB-IV cervical cancer patients following chemoradiotherapy.
Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 24 citations in OpenAlex.
- Association between human papillomavirus and behaviour, clinicopathology, and cervical cancer outcome in Zimbabwean women: a cross-sectional study.Reproductive health · 2025Article
- Comparative Diagnostic Value of 18F-FDG-PET-CT and Intraoperative Examination in Cervical Cancer Staging.Medicina (Kaunas, Lithuania) · 2024Article
- Hyperpolarized [1-European radiology experimental · 2024Article
- Development and validation of aBMC cancer · 2024Article
- Generalizable transfer learning of automated tumor segmentation from cervical cancers toward a universal model for uterine malignancies in diffusion-weighted MRI.Insights into imaging · 2023Article
- The value of HPV genotypes combined with clinical indicators in the classification of cervical squamous cell carcinoma and adenocarcinoma.BMC cancer · 2022Article
- Automatic Segmentation of Pelvic Cancers Using Deep Learning: State-of-the-Art Approaches and Challenges.Diagnostics (Basel, Switzerland) · 2021Review
- Identification of a Six-Gene Signature for Predicting the Overall Survival of Cervical Cancer Patients.OncoTargets and therapy · 2021Article
- Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer.European radiology · 2020Article
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- The function of histone acetylation in cervical cancer development.Bioscience reports · 2019Review
- External validation of a combined PET and MRI radiomics model for prediction of recurrence in cervical cancer patients treated with chemoradiotherapy.European journal of nuclear medicine and molecular imaging · 2019Article
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Authors and funding
14 authors at 3 institutions in 1 country.
Funding
Abstract
objectivesTo develop and validate a prognostic model of integrating whole-tumour apparent diffusion coefficient (ADC) from pretreatment diffusion-weighted (DW) magnetic resonance (MR) imaging with human papillomavirus (HPV) genotyping in predicting the overall survival (OS) and disease-free survival (DFS) for women with stage IB-IV cervical cancer following concurrent chemoradiotherapy (CCRT).
methodsWe retrospectively analysed three prospectively collected cohorts comprising 300 patients with stage IB-IV cervical cancer treated with CCRT in 2007-2014 and filtered 134 female patients who underwent MR imaging at 3.0 T for final analysis (age, 24-92 years; median, 54 years). Univariate and multivariate Cox regression analyses were used to evaluate the whole-tumour ADC histogram parameters, HPV genotyping and relevant clinical variables in predicting OS and DFS. The dataset was randomly split into training (n = 88) and testing (n = 46) datasets for construction and independent bootstrap validation of the models.
resultsThe median follow-up time for surviving patients was 69 months (range, 9-126 months). Non-squamous cell type, ADC
conclusionsThe prognostic model based on integrated clinical and imaging data could be a useful clinical biomarker to predict OS and DFS in patients with stage IB-IV cervical cancer treated with CCRT. KEY POINTS: • ADC
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