ArticleJournal of clinical medicine2021
An Application of Machine Learning That Uses the Magnetic Resonance Imaging Metric, Mean Apparent Diffusion Coefficient, to Differentiate between the Histological Types of Ovarian Cancer.
Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Efficacy and safety of robot-assisted pedicle screw placement in lumbar spondylolisthesis: a meta-analysis.Journal of robotic surgery · 2025Pooled it
- State-of-the-art review in AI and digital technologies for spine deformity.Spine deformity · 2026Review
- Impact of image processing techniques on deep learning-based classification accuracy of cervical vertebral maturation.Oral radiology · 2026Article
- The added value of apparent diffusion coefficient assessments in O-RADS MRI evaluation for characterizing ovarian masses with solid components.Abdominal radiology (New York) · 2026Article
- Prediction of the acupuncture effects on pregnancy outcomes with personalized, embryonic, endometrial characteristics in women undergoing frozen-thawed embryo transfer.Journal of assisted reproduction and genetics · 2025Article
- Introducing equivalent and threshold doses in the assessment of medication-related osteonecrosis of the jaw risk: insights from a descriptive study in Iran.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Artificial intelligence radiomics in the diagnosis, treatment, and prognosis of gynecological cancer: a literature review.Translational cancer research · 2025Review
- Article
- Application of pelvic floor rehabilitation in patients with colorectal cancer: a scoping review.Techniques in coloproctology · 2024Article
- Is navigation beneficial for transforaminal endoscopic lumbar foraminotomy? A preliminary comparison study with fluoroscopic guidance.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2023Article
- The association of dementia on perioperative complications following primary total hip arthroplasty for femoral neck fractures.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2023Article
- Significance of paraspinal muscle quality in risk between single and multiple osteoporotic vertebral fractures.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2023Article
- Analysis of computer-aided diagnostics in the preoperative diagnosis of ovarian cancer: a systematic review.Insights into imaging · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This retrospective single-center study included patients diagnosed with epithelial ovarian cancer (EOC) using preoperative pelvic magnetic resonance imaging (MRI). The apparent diffusion coefficient (ADC) of the axial MRI maps that included the largest solid portion of the ovarian mass was analysed. The mean ADC values (ADC
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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.