SynthesisInternational journal of molecular sciences2022
Diagnostic Accuracy of CT Texture Analysis in Adrenal Masses: A Systematic Review.
Synthesis in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
24 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
- [Modern trends in the radiological diagnostics of adrenal tumors].Problemy endokrinologii · 2026Article
- Contrast-enhanced CT-based radiomics model explained by the Shapley Additive exPlanations (SHAP) method for predicting preoperative diagnosis of pheochromocytoma and adrenal adenoma.BMC medical imaging · 2026Article
- AI-enabled precision evaluation of adrenal masses: radiomics, deep learning, and explainable imaging biomarkers.Frontiers in endocrinology · 2026Review
- Differentiating between adrenocortical carcinoma and pheochromocytoma by a CT-based radiomics model: a multicenter retrospective study.BMC medical imaging · 2025Article
- Texture analysis can predict response to etoposide-doxorubicin-cisplatin in patients with adrenocortical carcinoma.Journal of endocrinological investigation · 2025Article
- Review
- An interpretableFrontiers in oncology · 2025Article
- Multi-model radiomics and machine learning for differentiating lipid-poor adrenal adenomas from metastases using automatic segmentation.Frontiers in oncology · 2025Article
- Efficiency of Microwave Ablation for Cortisol-Producing Adrenal Adenomas: Case Series and a Literature Review.Acta medica Lituanica · 2025Article
- Prediction of 2-[Cancers · 2023Article
- Review of Diagnostic Modalities for Adrenal Incidentaloma.Journal of clinical medicine · 2023Review
- CT Texture Analysis of Adrenal Pheochromocytomas: A Pilot Study.Current oncology (Toronto, Ont.) · 2023Article
- A modified method for CT radiomics region-of-interest segmentation in adrenal lipid-poor adenomas: a two-institution comparative study.Frontiers in oncology · 2023Article
- Feasibility study of computed tomography texture analysis for evaluation of canine primary adrenal gland tumors.Frontiers in veterinary science · 2023Article
- Editorial: Predictive tools in pheochromocytoma and paraganglioma.Frontiers in endocrinology · 2023Article
- Radiomics in Abdominopelvic Solid-Organ Oncologic Imaging: Current Status.AJR. American journal of roentgenology · 2022Review
- Imaging or Adrenal Vein Sampling Approach in Primary Aldosteronism? A Patient-Based Approach.Tomography (Ann Arbor, Mich.) · 2022Review
- Application of radiomics in adrenal incidentaloma: a literature review.Discover oncology · 2022Review
- Tumour size in adrenal tumours: its importance in the indication of adrenalectomy and in surgical outcomes-a single-centre experience.Journal of endocrinological investigation · 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Adrenal incidentalomas (AIs) are incidentally discovered adrenal neoplasms. Overt endocrine secretion (glucocorticoids, mineralocorticoids, and catecholamines) and malignancy (primary or metastatic disease) are assessed at baseline evaluation. Size, lipid content, and washout characterise benign AIs (respectively, <4 cm, <10 Hounsfield unit, and rapid release); nonetheless, 30% of adrenal lesions are not correctly indicated. Recently, image-based texture analysis from computed tomography (CT) may be useful to assess the behaviour of indeterminate adrenal lesions. We performed a systematic review to provide the state-of-the-art of texture analysis in patients with AI. We considered 9 papers (from 70 selected), with a median of 125 patients (range 20-356). Histological confirmation was the most used criteria to differentiate benign from the malignant adrenal mass. Unenhanced or contrast-enhanced data were available in all papers; TexRAD and PyRadiomics were the most used software. Four papers analysed the whole volume, and five considered a region of interest. Different texture features were reported, considering first- and second-order statistics. The pooled median area under the ROC curve in all studies was 0.85, depicting a high diagnostic accuracy, up to 93% in differentiating adrenal adenoma from adrenocortical carcinomas. Despite heterogeneous methodology, texture analysis is a promising diagnostic tool in the first assessment of patients with adrenal lesions.
Indexed as
Identifiers
What OpenQuestion holds
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.