ArticleJapanese journal of radiology2024
The prognostic role of perirenal fat tissue in non-metastatic renal cell carcinoma.
Article in Japanese journal of radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed.
- Percutaneous thermal ablation for renal cell carcinoma: a comprehensive review of current evidence and future directions.La Radiologia medica · 2026Review
- Spectral CT in renal cell carcinoma: the promising role of dual-energy and photon-counting techniques.Abdominal radiology (New York) · 2026Review
- Study on the prediction of postoperative metastasis in renal cancer using perirenal fat CT radiomics combined with clinical features.Frontiers in oncology · 2026Article
- Illuminating radiogenomic signatures in pediatric-type diffuse gliomas: insights into molecular, clinical, and imaging correlations. Part I: high-grade group.La Radiologia medica · 2025Review
- Advances in renal cancer: diagnosis, treatment, and emerging technologies.La Radiologia medica · 2025Review
- The prognostic role of perinephric adipose tissue macrophages in localized clear cell renal cell carcinoma.World journal of surgical oncology · 2025Article
- Response to letter to the editor from Dr. Muhammed Said Beşler: 'the accuracy of large language models in RANZCR's clinical radiology exam sample questions'.Japanese journal of radiology · 2024Article
- Integrating AI in radiology: insights from GPT-generated reports and multimodal LLM performance on European Board of Radiology examinations.Japanese journal of radiology · 2024Article
- Response to Letter to the Editor from Muhammed Said Beşler et al.: "The Performance of the Multimodal Large Language Model GPT-4 on the European Board of Radiology Examination Sample Test".Japanese journal of radiology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study was to evaluate the impact of perirenal fat volume and perirenal fat density on prognosis in surgically treated non-metastatic renal cell carcinomas (RCC). METHODS AND MATERIALS: All consecutive patients who underwent partial or total nephrectomy surgery between March 2019 and December 2021 were assessed. Measurements of perirenal fat volume and perirenal fat density were performed on computed tomography (CT) images. The relationship between progression and perirenal fat parameters was evaluated using ROC analysis, Cox regression analysis, and Kaplan-Meier analysis.
resultsIn the study population comprising 118 patients diagnosed with RCC (74.6% male, mean age of 59.1 ± 11.8 years), the median follow-up duration was 43 months (interquartile range: 33-51 months). Perirenal fat volume (AUC: 0.669, 95% CI 0.538-0.799, p = 0.011) and perirenal fat density (AUC: 0.680, 95% CI 0.558-0.803, p = 0.007) demonstrated acceptable discrimination performance in predicting progression. There was a significant association between high perirenal fat volume and high perirenal fat density with poor progression-free survival (HR: 1.007, 95% CI 1.003-1.011, p = 0.001 vs. HR: 1.084, 95% CI 1.033-1.137, p = 0.001; respectively).
conclusionHigh perirenal fat volume and high perirenal fat density are independent predictors for poor progression-free survival. Perirenal fat parameters, easily obtainable from preoperative CT images, may serve as potential tools in predicting the prognosis of non-metastatic RCC.
Indexed as
Identifiers
38856877What 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.