ArticleContrast media & molecular imaging2019
Prognostic Value of Functional Parameters of
Article in Contrast media & molecular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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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.
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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.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.
- [18F]FDG PET/CT and PET/MR in Patients with Adrenal Lymphoma: A Systematic Review of Literature and a Collection of Cases.Current oncology (Toronto, Ont.) · 2022Pooled it
- Current status and quality of radiomics studies in lymphoma: a systematic review.European radiology · 2020Pooled it
- Primary adrenal lymphoma and its mimics: clinico-radiological differential diagnosis.Frontiers in endocrinology · 2025Article
- Semiquantitative 2-[Frontiers in medicine · 2024Review
- Role of Radiomics-Based Baseline PET/CT Imaging in Lymphoma: Diagnosis, Prognosis, and Response Assessment.Molecular imaging and biology · 2022Review
- Radiomics analysis of uterine tumors in 18F-fluorodeoxyglucose positron emission tomography for prediction of lymph node metastases in endometrial carcinoma.Turkish journal of medical sciences · 2022Article
- Radiomics in Cross-Sectional Adrenal Imaging: A Systematic Review and Quality Assessment Study.Diagnostics (Basel, Switzerland) · 2022Review
- Review
- Artificial Intelligence in Lymphoma PET Imaging:: A Scoping Review (Current Trends and Future Directions).PET clinics · 2022Article
- Article
- The preoperative prognostic value of the radiomics nomogram based on CT combined with machine learning in patients with intrahepatic cholangiocarcinoma.World journal of surgical oncology · 2021Article
- Development and validation of anEuropean radiology · 2020Article
- Texture Analysis Improves the Value of PretreatmentContrast media & molecular imaging · 2020Article
- Artificial intelligence and radiomics applications in adrenal lesions: a systematic review.Therapeutic advances in urologyReview
- A Glimpse into the Realm that Combines Artificial Intelligence and Endocrinology.Indian journal of endocrinology and metabolismReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: The aim of this study is to explore the textural features that may identify the morphological changes in the lymphoma region and predict the prognosis of patients with primary renal lymphoma (PRL) and primary adrenal lymphoma (PAL). Methods: This retrospective study comprised nineteen non-Hodgkin's lymphoma (NHL) patients undergoing Results: The overall survival of included patients was 18.84 ± 13.40 (mean ± SD) months. Univariate Cox analyses found that the tumor stage, GLCM (gray-level co-occurrence matrix) entropy, GLZLM_GLNU (gray-level nonuniformity), and GLZLM_ZLNU (zone length nonuniformity), values were significant predictors for OS. Among them, GLRLM_RLNU ≥216.6 demonstrated association with worse OS at multivariate analysis (HR 9.016, 95% CI 1.041-78.112, Conclusions: The texture analysis of
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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.