ReviewSkeletal radiology2023
Percutaneous spine biopsy: reaching those hard-to-reach places.
Review in Skeletal radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 7 citations in OpenAlex.
- Spinal metastases: perioperative and oncological outcomes after separation surgery versus expanded anterior column resection: a retrospective cohort study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- The Application of Orthopedic Surgical Robot-Assisted Technology in Various Clinical Scenarios Involving Bone Tumors.Orthopaedic surgery · 2026Article
- Image-Guided Percutaneous Spinal Biopsy: CT or C-Arm Guidance?The Indian journal of radiology & imaging · 2026Review
- Fine-grained classification of thoracic vertebral compression fractures based on multi-layer feature fusion and attention-guided patch recombination.Biomedical engineering letters · 2025Article
- Bone Biopsies: Practical Considerations and Technical Tips.Seminars in interventional radiology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer is a leading cause of death, with the spine being the most common site for skeletal metastasis. The spine is also a site for primary malignancy, such as sarcoma and chordoma, as well as non-neoplastic pathologies. An accurate diagnosis of spinal neoplastic diseases is crucial in determining appropriate management. With the advent of personalised oncology, the need to establish a definitive histopathologic diagnosis to guide management is more important than ever. Percutaneous biopsy has proven to be safe and efficient in establishing a reliable histopathologic diagnosis. The spine, however, can be a challenging site to biopsy, due to the proximity of critical neurovascular, respiratory, and gastrointestinal structures. Successful spine biopsy depends on several factors: suspected diagnosis, size of the lesion, location within the spine, modality for best imaging guidance, operator experience, technical equipment considerations, and desired approach and associated limitations. The specimen must also be obtained with a biopsy route amenable to any future surgical intervention, with surgical input often sought, frequently in a multidisciplinary setting, to confirm procedure-specific goals and expectations. Knowledge of the requisite local anatomy, procedural and patient-specific indications, and contraindications and various approaches that may be used to access different segments of the spine, potential complications, and how to address these are keys to a successful percutaneous spinal biopsy, even in the most challenging of circumstances.
Indexed as
Identifiers
What 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.