ArticleCancer imaging : the official publication of the International Cancer Imaging Society2021
Diagnostic efficiency of whole-body
Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 34 citations in OpenAlex.
- 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
- Multimodal data fusion: integrating PET/MRI and liquid biopsy for a holistic view of cancer biology.Frontiers in oncology · 2026Review
- Clinical PET/MR.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026Review
- Locally Advanced Cervical Cancer: Multiparametric MRI in Gynecologic Oncology and Precision Medicine.Diagnostics (Basel, Switzerland) · 2025Review
- Automatic cervical tumors segmentation in PET/MRI by parallel encoder U-net.Radiation oncology (London, England) · 2025Article
- Primary staging with 2[18F]-FDG-PET/CT and -PET/MRI and radiotherapy response evaluation with MRI in uterine cervical cancer: an interim analysis of a prospective clinical trial.EJNMMI reports · 2025Article
- Review
- Application of PET/MRI in Gynecologic Malignancies.Cancers · 2024Review
- Application value of artificial intelligence algorithm-based magnetic resonance multi-sequence imaging in staging diagnosis of cervical cancer.Open life sciences · 2024Article
- FDG-PET/MRI for the preoperative diagnosis and staging of peritoneal carcinomatosis: a prospective multireader pilot study.Abdominal radiology (New York) · 2023Article
- Current Update on PET/MRI in Gynecological Malignancies-A Review of the Literature.Current oncology (Toronto, Ont.) · 2023Review
- Article
- Magnetic Fields and Cancer: Epidemiology, Cellular Biology, and Theranostics.International journal of molecular sciences · 2022Review
- Nomogram Predicting Lymph Node Metastasis in the Early-Stage Cervical Cancer.Frontiers in medicine · 2022Article
- Post treatment imaging in patients with local advanced cervical carcinoma.Frontiers in oncology · 2022Review
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundThe use of PET/MRI for gynecological cancers is emerging. The purpose of this study was to assess the additional diagnostic value of PET over MRI alone in local and whole-body staging of cervical cancer, and to evaluate the benefit of standardized uptake value (SUV) and apparent diffusion coefficient (ADC) in staging.
methodsPatients with histopathologically-proven cervical cancer and whole-body
resultsIn total, 33 patients who underwent surgery (n = 23) or first-line chemoradiation (n = 10) were included. PET/MRI resulted in higher AUC compared with MRI alone in detecting parametrial (0.89 versus 0.73), vaginal (0.85 versus 0.74), and deep cervical stromal invasion (0.96 versus 0.74), respectively. PET/MRI had higher diagnostic confidence than MRI in identifying patients with radical cone biopsy and no residual at hysterectomy (sensitivity 89% versus 44%). PET/MRI and MRI showed equal AUC for pelvic nodal staging (both 0.73), whereas AUC for distant metastases was higher using PET/MRI (0.80 versus 0.67). Tumor SUVmax/ADC ratio, but not SUVmax or ADC alone, was significantly higher in the presence of metastatic pelvic lymph nodes (P < 0.05).
conclusionsPET/MRI shows higher accuracy than MRI alone for determining local tumor spread and distant metastasis emphasizing the added value of PET over MRI alone in staging of cervical cancer. Tumor SUVmax/ADC ratio may predict pelvic nodal involvement.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.