ReviewAbdominal radiology (New York)2025
Mastering esophageal cancer imaging: what radiologists need to know.
Review in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- TNM staging of esophageal cancer using fine-tuned pathology foundation models and multiple instance learning.Frontiers in oncology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Esophageal cancer, particularly squamous cell carcinoma (SCC) and adenocarcinoma (EAC), is a major contributor to cancer-related mortality. The different histopathologic subtypes have different pathological origins, epidemiology and prognosis. TNM staging system allows to stratify the prognosis and determine the most appropriate treatment. Surgery remains the gold standard for treating early-stage esophageal cancer, including various procedures that can adapt to the singular cases helping to reduce morbidity. However, esophagectomy remains burdened by considerable postoperative complications, such as anastomotic leakage, pleural effusion, pneumonia, acute respiratory distress syndrome, stricture formation, chylothorax, delayed gastric emptying, hiatal herniation, and reflux esophagitis. Accurate radiologic evaluation plays a crucial role in detecting, characterizing, and staging esophageal cancer, directly influencing treatment strategies. Radiological imaging is pivotal in determining patient's prognosis, both for the management of post-operative complications and for long-term follow-up. A thorough understanding of the imaging characteristics and underlying pathology is essential for improving diagnostic accuracy and guiding therapeutic decision-making.
Indexed as
Identifiers
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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.