ReviewDiagnostics (Basel, Switzerland)2022
Radiomics in Cross-Sectional Adrenal Imaging: A Systematic Review and Quality Assessment Study.
Review in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
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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
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic performance of radiomics in adrenal masses: A systematic review and meta-analysis.Frontiers in oncology · 2022Pooled it
- Radiomics-based model for predicting neoadjuvant therapy response in esophageal cancer: Limitations and suggestions.World journal of gastrointestinal oncology · 2026Article
- Integrating Radiogenomics and Machine Learning in Musculoskeletal Oncology Care.Diagnostics (Basel, Switzerland) · 2025Review
- Radiomics Results for Adrenal Mass Characterization Are Stable and Reproducible Under Different Software.Life (Basel, Switzerland) · 2025Article
- Review
- The value of CT texture analysis in predicting mitotic activity and morphological variants of adrenocortical carcinoma.Frontiers in radiology · 2025Article
- Article
- Treating Primary Aldosteronism-Induced Hypertension: Novel Approaches and Future Outlooks.Endocrine reviews · 2024Article
- Machine learning for differentiation of lipid-poor adrenal adenoma and subclinical pheochromocytoma based on multiphase CT imaging radiomics.BMC medical imaging · 2023Article
- Segmentation methods applied to MRI-derived radiomic analysis for the prediction of placenta accreta spectrum in patients with placenta previa.Abdominal radiology (New York) · 2023Article
- Prediction of 2-[Cancers · 2023Article
- Stress-induced severe transient hypercortisolism with reversible bilateral adrenal enlargement after cardiogenic shock.Endocrinology, diabetes & metabolism case reports · 2023Article
- The True Value of Quantitative Imaging for Adrenal Mass Characterization: Reality or Possibility?Cancers · 2023Article
- The Role of Radiomics in Salivary Gland Imaging: A Systematic Review and Radiomics Quality Assessment.Diagnostics (Basel, Switzerland) · 2022Review
- Review
- Machine Learning-Based Texture Analysis in the Characterization of Cortisol Secreting vs. Non-Secreting Adrenocortical Incidentalomas in CT Scan.Frontiers in endocrinology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we aimed to systematically review the current literature on radiomics applied to cross-sectional adrenal imaging and assess its methodological quality. Scopus, PubMed and Web of Science were searched to identify original research articles investigating radiomics applications on cross-sectional adrenal imaging (search end date February 2021). For qualitative synthesis, details regarding study design, aim, sample size and imaging modality were recorded as well as those regarding the radiomics pipeline (e.g., segmentation and feature extraction strategy). The methodological quality of each study was evaluated using the radiomics quality score (RQS). After duplicate removal and selection criteria application, 25 full-text articles were included and evaluated. All were retrospective studies, mostly based on CT images (17/25, 68%), with manual (19/25, 76%) and two-dimensional segmentation (13/25, 52%) being preferred. Machine learning was paired to radiomics in about half of the studies (12/25, 48%). The median total and percentage RQS scores were 2 (interquartile range, IQR = -5-8) and 6% (IQR = 0-22%), respectively. The highest and lowest scores registered were 12/36 (33%) and -5/36 (0%). The most critical issues were the absence of proper feature selection, the lack of appropriate model validation and poor data openness. The methodological quality of radiomics studies on adrenal cross-sectional imaging is heterogeneous and lower than desirable. Efforts toward building higher quality evidence are essential to facilitate the future translation into clinical practice.
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Registered trials
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