ArticleCancer imaging : the official publication of the International Cancer Imaging Society2024
Associations between ADC histogram analysis values and tumor-micro milieu in uterine cervical cancer.
Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Diagnostic value of lesion-to-spinal cord ratio and apparent diffusion coefficient in differentiating benign and malignant pulmonary nodules and masses.Journal of thoracic disease · 2026Article
- Associations Between Body Composition and Intratumoural Immune Cells in Patients With Uterine Cervical Cancer.Journal of cachexia, sarcopenia and muscle · 2026Article
- A DWI histogram-based nomogram for preoperative prediction of pathogens and antibiotic resistance in perianal abscesses.International journal of colorectal disease · 2026Article
- Restriction spectrum imaging and diffusion kurtosis imaging for evaluating proliferation status in cervical cancer.Frontiers in medicine · 2026Article
- Multiscale tumor characterization in histopathology via self-distilled transformers and topology-aware visual encoding.Scientific reports · 2025Article
- Locally Advanced Cervical Cancer: Multiparametric MRI in Gynecologic Oncology and Precision Medicine.Diagnostics (Basel, Switzerland) · 2025Review
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Abstract
backgroundThe complex interactions of the tumor micromilieu may be reflected by diffusion-weighted imaging (DWI) derived from the magnetic resonance imaging (MRI). The present study investigated the association between apparent diffusion coefficient (ADC) values and histopathologic features in uterine cervical cancer.
methodsIn this retrospective study, prebiopsy MRI was used to analyze histogram ADC-parameters. The biopsy specimens were stained for Ki-67, E-cadherin, vimentin and tumor-infiltrating lymphocytes (TIL, all CD45 positive cells). Tumor-stroma ratio (TSR) was calculated on routine H&E specimens. Spearman's correlation analysis and receiver-operating characteristics curves were used as statistical analyses.
resultsThe patient sample comprised 70 female patients (age range 32-79 years; mean age 55.4 years) with squamous cell cervical carcinoma. The interreader agreement was high ranging from intraclass coefficient (ICC) = 0.71 for entropy to ICC = 0.96 for ADCmedian. Several ADC-histogram parameters correlated strongly with the TSR. The highest correlation coefficient achieved p10 (r = -0.81, p < 0.0001). ADCmean can predict tumors with high TSR, AUC: 0.91, sensitivity: 0.91 (95% CI 0.77;0.96), specificity: 0.91 (95% CI 0.78;0.97). Several ADC-histogram parameters correlated slightly with the proliferation index Ki-67. No associations were found with TIL, E-Cadherin and vimentin. In well and moderately differentiated cancers, ADC histogram values showed stronger correlations with Ki-67 and TSR than in poorly differentiated tumors.
conclusionADC values are strongly associated with tumor-stroma ratio. The ADC mean can be used to predict tumors with high TSR. Associations between histopathology and ADC values depend on tumor differentiation. ADC values show only weak associations with Ki-67 and none with TIL, vimentin and E-cadherin.
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