ArticleBMC medical imaging2020
Differentiation of soft tissue and bone sarcomas from benign lesions utilizing
Article in BMC medical imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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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Who cites it
5 citing papers in PubMed.
- Diagnostic Superiority of Dual-Time Point [Diagnostics (Basel, Switzerland) · 2023Article
- Differential diagnosis of cardiac tumors: General consideration and echocardiographic approach.Journal of clinical ultrasound : JCU · 2022Review
- Clinical Perspectives forMetabolites · 2022Review
- Characterization of focal hypermetabolic thyroid incidentaloma: An analysis with F-18 fluorodeoxyglucose positron emission tomography/computed tomography parameters.World journal of clinical cases · 2022Article
- Differential Diagnosis of Lipomatous Tumors UsingCancer diagnosis & prognosisArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundAccurate differentiation between malignant and benign changes in soft tissue and bone lesions is essential for the prevention of unnecessary biopsies and surgical resection. Nevertheless, it remains a challenge and a standard diagnosis modality is urgently needed. The objective of this study was to evaluate the usefulness of
methodsPatients who had undergone pre-treatment
resultsUnivariate analysis results revealed that tumor size, SUVmax, MTV, TLG, and HF of
conclusionThe regression model including SUVmax and HF based on
Indexed as
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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.