ArticleFrontiers in oncology2023
Whole-tumor histogram analysis of apparent diffusion coefficients for predicting lymphovascular space invasion in stage IB-IIA cervical cancer.
Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 4 citations in OpenAlex.
- A CT-based radiomics model for preoperative prediction of lymphovascular invasion in colorectal cancer.Frontiers in oncology · 2026Article
- Readout-segmented echo-planar imaging and conventional single-shot echo-planar imaging for determining cervical cancer image quality, lymphovascular space invasion, and lymph node metastasis status: a comparative study.Diagnostic and interventional radiology (Ankara, Turkey) · 2025Article
- 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
- Amide proton transfer-weighted habitat radiomics: a superior approach for preoperative prediction of lymphovascular space invasion in cervical cancer.Frontiers in oncology · 2025Article
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Authors and funding
6 authors at 2 institutions in 1 country.
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Abstract
Objectives: To investigate the value of apparent diffusion coefficient (ADC) histogram analysis based on whole tumor volume for the preoperative prediction of lymphovascular space invasion (LVSI) in patients with stage IB-IIA cervical cancer. Methods: Fifty consecutive patients with stage IB-IIA cervical cancer were stratified into LVSI-positive (n = 24) and LVSI-negative (n = 26) groups according to the postoperative pathology. All patients underwent pelvic 3.0T diffusion-weighted imaging with b-values of 50 and 800 s/mm Results: ADC Conclusion: Whole-tumor ADC histogram analysis has potential value for preoperative prediction of LVSI in patients with stage IB-IIA cervical cancer. ADC
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