ArticleThe British journal of radiology2023
T1 mapping and multimodel diffusion-weighted imaging in the assessment of cervical cancer: a preliminary study.
Article in The British journal of radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Current status, hotspots, and trends in cancer prevention, screening, diagnosis, treatment, and rehabilitation: A bibliometric analysis.Oncology research · 2025Pooled it
- Time-dependent diffusion MRI for differentiating cervical cancer subtypes: impact of ROI delineation strategies on diagnostic performance.Abdominal radiology (New York) · 2026Article
- Time-dependent diffusion MRI for differentiating cervical cancer subtypes: impact of ROI delineation strategies on diagnostic performance.Abdominal radiology (New York) · 2026Article
- Development and validation of ADC-based nomogram model for predicting the prognostic factors in preoperative clinical early-stage cervical cancer patients.Abdominal radiology (New York) · 2025Article
- Prediction of non-small cell lung cancer subtypes is possible through restricted spectrum imaging.Frontiers in oncology · 2025Article
- Amide proton transfer-weighted habitat radiomics: a superior approach for preoperative prediction of lymphovascular space invasion in cervical cancer.Frontiers in oncology · 2025Article
- T1 mapping as a quantitative imaging biomarker for diagnosing cervical cancer: a comparison with diffusion kurtosis imaging.BMC medical imaging · 2024Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the clinical feasibility of T1 mapping and multimodel diffusion-weighted imaging (DWI) for assessing the histological type, grade, and lymphovascular space invasion (LVSI) of cervical cancer.
methodsEighty patients with cervical cancer and 43 patients with a normal cervix underwent T1 mapping and DWI with 11 b-values (0-2000 s/mm
resultsNative T1 and DWI-derived parameters differed significantly between cervical cancer and normal cervix (all
conclusionBoth T1 mapping and multimodel DWI can effectively differentiate cervical cancer from a normal cervix and cervical adenocarcinoma from SCC. Furthermore, multimodel DWI may provide quantitative metrics for non-invasively predicting histological grade and LVSI status in SCC patients. ADVANCES IN KNOWLEDGE: Combined use of T1 mapping and multimodel DWI may provide more comprehensive information for non-invasive pre-operative evaluation of cervical cancer.
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