ArticleOncotarget2017
Parameters of simultaneous 18F-FDG-PET/MRI predict tumor stage and several histopathological features in uterine cervical cancer.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.
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Who cites it
32 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Diagnostic Value of FDG PET/MRI in Females With Pelvic Malignancy-A Systematic Review of the Literature.Frontiers in oncology · 2020Pooled it
- Associations between GLUT expression and SUV values derived from FDG-PET in different tumors-A systematic review and meta analysis.PloS one · 2019Pooled it
- Prognostic Value of Combined FDG PET and MRI Analysis of Cervical Cancer: A Systematic Review and Meta-Analysis.Journal of medical radiation sciences · 2026Review
- Diagnostic performance of quantitative measures from [European journal of nuclear medicine and molecular imaging · 2026Article
- Associations between MRI radiomics analysis and tumor-micro milieu in uterine cervical cancer.Journal of cancer research and clinical oncology · 2025Article
- Associations between ADC histogram analysis values and tumor-micro milieu in uterine cervical cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Dynamic changes in AI-based analysis of endometrial cellular composition: Analysis of PCOS and RIF endometrium.Journal of pathology informatics · 2024Article
- Application of PET/MRI in Gynecologic Malignancies.Cancers · 2024Review
- PET/MRI in colorectal and anal cancers: an update.Abdominal radiology (New York) · 2023Review
- Correlation betweenQuantitative imaging in medicine and surgery · 2023Article
- 18F-FDG PET/MRI and 18F-FDG PET/CT for the Management of Gynecological Malignancies: A Comprehensive Review of the Literature.Journal of imaging · 2023Review
- Combined Metabolic and Functional Tumor Volumes on [Journal of clinical medicine · 2023Article
- Current Update on PET/MRI in Gynecological Malignancies-A Review of the Literature.Current oncology (Toronto, Ont.) · 2023Review
- Quantitative imaging of uterine cancers with diffusion-weighted MRI and 18-fluorodeoxyglucose PET/CT.Abdominal radiology (New York) · 2022Review
- PET/MRI and PET/CT Radiomics in Primary Cervical Cancer: A Pilot Study on the Correlation of Pelvic PET, MRI, and CT Derived Image Features.Molecular imaging and biology · 2022Article
- Magnetic Fields and Cancer: Epidemiology, Cellular Biology, and Theranostics.International journal of molecular sciences · 2022Review
- Relative clinical utility of simultaneousThe Journal of international medical research · 2021Article
- En bloc resection of cervical adenocarcinoma with late recurrence to the iliopsoas.BMJ case reports · 2021Article
- Diagnostic efficiency of whole-bodyCancer imaging : the official publication of the International Cancer Imaging Society · 2021Article
- Predictive Ki-67 Proliferation Index of Cervical Squamous Cell Carcinoma Based on IVIM-DWI Combined with Texture Features.Contrast media & molecular imaging · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this study was to analyze associations between apparent diffusion coefficient (ADC) and standardized uptake values (SUV) values and different histopathological parameters in uterine cervical cancer. 21 patients with primary uterine cervical cancer were involved into the study. All patients underwent a whole body simultaneous18F-FDG PET/MRI. Mean and maximum SUV were noted (SUVmean and SUVmax). In all tumors minimal, mean, and maximal ADC values (ADCmin, ADCmean, and ADCmax) were estimated. Combined parameters were calculated: SUVmax/SUVmean, ADCmin/ ADCmean, SUVmax/ADCmin and SUVmax/ADCmean. In all cases the diagnosis was confirmed histopathologically by tumor biopsy. Histological slices were stained by hematoxilin and eosin, MIB 1 monoclonal antibody, and p16. All histopathological images were digitalized and analyzed by using a ImageJ software 1.48v. The following parameters were estimated: cell count, proliferation index KI 67, total and average nucleic areas, epithelial and stromal areas. Spearman's correlation coefficient was used to analyze associations between ADC and SUV values and histological parameters. P values ≤ 0.05 were considered as statistically significant. ADCmin and ADCmin/ ADCmean were statistically significant lower in N positive tumors. KI 67 correlated statistically significant with SUVmax (r = 0.59, p = 0.005), SUVmean (0.45, p = 0.04), ADCmin (r = -0.48, p = 0.03), SUVmax/ADCmin (r = 0.71, p = 0.001), SUVmax/ADCmean (0.75, p = 0.001). SUVmax correlated well with epithelial area (r = 0.71, p = 0.001) and stromal areas (r = -0.71, p = 0.001). SUV values, ADCmin, SUVmax/ADCmin and SUVmax/ADCmean correlated statistically significant with KI 67 and can be used to estimate the proliferation potential of tumors. SUV values correlated strong with epithelial area of tumor reflected metabolic active areas.
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