ArticleSkeletal radiology2020
Efficacy of image-guided synovial biopsy.
Article in Skeletal radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses 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
6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- The preferred technique for knee synovium biopsy and synovial fluid arthrocentesis.Rheumatology international · 2023Pooled it
- Pooled it
- Image-guided synovial biopsy with a focus on neoplastic lesions.Skeletal radiology · 2023Review
- Image-guided synovial biopsy with a focus on infection.Skeletal radiology · 2023Review
- MRI of diffuse-type tenosynovial giant cell tumour in the knee: a guide for diagnosis and treatment response assessment.Insights into imaging · 2023Review
- Synovial biopsies in clinical practice and research: current developments and perspectives.Clinical rheumatology · 2021Review
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 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveA variety of benign and neoplastic lesions can affect the synovium, including pigmented villonodular synovitis (PVNS) and synovial chondromatosis. Prior to surgical resection, accurate characterization of synovial lesions is necessary for appropriate treatment planning. Additionally, recent advances in potential medical therapies for PVNS could decrease or eliminate the need for surgery in some cases. Such treatment options demand accurate characterization of synovial lesions prior to treatment. METHODS AND MATERIALS: Institutional IRB approval was obtained. We identified 54 synovial biopsies performed at our institution using a comprehensive database search under ultrasound (US) or computed tomography (CT) guidance. Cases were reviewed for pre-procedure imaging, location, biopsy approach, biopsy results, post-procedure complications, and surgical pathology if synovectomy was performed.
resultA total of 54 image-guided synovial biopsies were performed, 36 using CT guidance and 18 using US guidance. Six different anatomic locations were biopsied (the hip, knee, shoulder, elbow, ankle, and temporomandibular joint). Synovial tissue was obtained in 89% of cases (48/54). CT-guided biopsies had a positive yield of 86% (31/36) and US-guided biopsies had a positive yield of 94% (17/18). Surgical pathology was obtained in 30 of the cases and image-guided biopsy concordance was 90% (27/30). Of the patients taken for synovectomy, biopsy concordance of suspected neoplastic lesions was 100% (23/23). In cases of suspected neoplasm, the concordance between image-guided biopsy and surgical pathology was 96% (22/23). There were no reported complications.
conclusionImage-guided biopsy of synovial lesions is safe and effective for establishing a definitive diagnosis prior to surgical or other intervention.
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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.