ArticleBMC medical imaging2022
Whole-lesion apparent diffusion coefficient (ADC) histogram as a quantitative biomarker to preoperatively differentiate stage IA endometrial carcinoma from benign endometrial lesions.
Article in BMC medical imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 14 citations in OpenAlex.
- Trial
- Prognostic Value of Combined FDG PET and MRI Analysis of Cervical Cancer: A Systematic Review and Meta-Analysis.Journal of medical radiation sciences · 2026Review
- Intratumoral and peritumoral MRI habitat imaging for differentiating stage IA endometrial cancer from benign endometrial lesions: a multicenter study.Frontiers in oncology · 2026Article
- MRI-Based Habitat Radiomics for Differentiating Early-Stage Endometrial Carcinoma from Submucous Leiomyoma: A Multicenter Validation Study.Journal of Cancer · 2026Article
- Preoperative risk assessment of endometrial cancer using histogram analysis of weighted and quantitative MRI images.Abdominal radiology (New York) · 2026Article
- A novel synthetic MRI for discrimination of oral cavity and oropharynx malignancy.BMC medical imaging · 2025Article
- Article
- Feasibility of ADC histogram analysis for predicting of postoperative recurrence in aggressive spinal tumors.Journal of bone oncology · 2025Article
- MRI Radiomics Data Analysis for Differentiation between Malignant Mixed Müllerian Tumors and Endometrial Carcinoma.Cancers · 2024Article
- The volumetric ADC histogram analysis in differentiating stage IA endometrial carcinoma from endometrial polyp.The British journal of radiology · 2024Article
- Can the ADC Value Be Used as an Imaging "Biopsy" in Endometrial Cancer?Diagnostics (Basel, Switzerland) · 2024Article
- The utility of texture analysis based on quantitative synthetic magnetic resonance imaging in nasopharyngeal carcinoma: a preliminary study.BMC medical imaging · 2023Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo assess the value of whole-lesion apparent diffusion coefficient (ADC) histogram analysis in differentiating stage IA endometrial carcinoma (EC) from benign endometrial lesions (BELs) and characterizing histopathologic features of stage IA EC preoperatively.
methodsOne hundred and six BEL and 126 stage IA EC patients were retrospectively enrolled. Eighteen volumetric histogram parameters were extracted from the ADC map of each lesion. The Mann-Whitney U or Student's t-test was used to compare the differences between the two groups. Models based on clinical parameters and histogram features were established using multivariate logistic regression. Receiver operating characteristic (ROC) analysis and calibration curves were used to assess the models.
resultsStage IA EC showed lower ADC
conclusionsWhole-lesion ADC histogram analysis could serve as an imaging biomarker for differentiating stage IA EC from BELs and assisting in tumor grading of stage IA EC, thus facilitating personalized clinical management for premenopausal and postmenopausal patients.
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