ReviewCancer imaging : the official publication of the International Cancer Imaging Society2010
The indeterminate adrenal lesion.
Review in Cancer imaging : the official publication of the International Cancer Imaging Society, 2010. 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
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
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Three-dimensional image guidance for diagnosis and treatment of adrenal disease: a systematic review.Updates in surgery · 2026Pooled it
- Article
- Prediction of 2-[Cancers · 2023Article
- The True Value of Quantitative Imaging for Adrenal Mass Characterization: Reality or Possibility?Cancers · 2023Article
- Article
- Distinguishing between metastatic and benign adrenal masses in patients with extra-adrenal malignancies.Frontiers in endocrinology · 2022Article
- Adrenocortical cancer recurrence following initial transcutaneous biopsy: a rare demonstration of needle tract seeding.Endocrine oncology (Bristol, England) · 2021Article
- Utility of T2-weighted MRI to Differentiate Adrenal Metastases from Lipid-Poor Adrenal Adenomas.Radiology. Imaging cancer · 2020Article
- The computed tomography adrenal wash-out analysis properly classifies cortisol secreting adrenocortical adenomas.Endocrine · 2018Article
- Cross-sectional imaging work-up of adrenal masses.World journal of radiology · 2013Article
- Adrenal lesions: spectrum of imaging findings with emphasis on multi-detector computed tomography and magnetic resonance imaging.Journal of clinical imaging science · 2013Article
- Multiparametric PET/CT in oncology.Cancer imaging : the official publication of the International Cancer Imaging Society · 2012Review
- Artificial intelligence and radiomics applications in adrenal lesions: a systematic review.Therapeutic advances in urologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the increasing use of abdominal cross-sectional imaging, incidental adrenal masses are being detected more often. The important clinical question is whether these lesions are benign adenomas or malignant primary or secondary masses. Benign adrenal masses such as lipid-rich adenomas, myelolipomas, adrenal cysts and adrenal haemorrhage have pathognomonic cross-sectional imaging appearances. However, there remains a significant overlap between imaging features of some lipid-poor adenomas and malignant lesions. The nature of incidentally detected adrenal masses can be determined with a high degree of accuracy using computed tomography (CT) and magnetic resonance imaging (MRI) alone. Positron emission tomography (PET) is also increasingly used in clinical practice in characterizing incidentally detected lesions. We review the performance of the established and new techniques in CT, MRI and PET that can be used to distinguish benign adenomas and malignant lesions of the adrenal gland.
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.