Evidence map›Paper›PMID 31641806›Full record

ArticleSkeletal radiology2020

Surface adhesive and hand-aided needle-assisted biopsy technique (SAHNA).

R Rajakulasingam, A Iqbal, S L James, R Botchu

Abstract read
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In one paragraph

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 38% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Piggyback Technique-A Safe Way of Performing Rib Biopsy.The Indian journal of radiology & imaging · 2023
    Article
  3. Birmingham Intervention Tent Technique (BITT): A Technical Note.The Indian journal of radiology & imaging · 2021
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

R RajakulasingamDepartment of Musculoskeletal Radiology, Royal Orthopedic Hospital NHS Foundation Trust, Bristol Road South, Northfield, Birmingham, UK.
A IqbalDepartment of Musculoskeletal Radiology, Royal Orthopedic Hospital NHS Foundation Trust, Bristol Road South, Northfield, Birmingham, UK.
S L JamesDepartment of Musculoskeletal Radiology, Royal Orthopedic Hospital NHS Foundation Trust, Bristol Road South, Northfield, Birmingham, UK.
R BotchuDepartment of Musculoskeletal Radiology, Royal Orthopedic Hospital NHS Foundation Trust, Bristol Road South, Northfield, Birmingham, UK. drbrajesh@yahoo.com.
Royal Orthopaedic Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe describe a novel and efficient CT biopsy technique that we have termed 'skin adhesive and hand-aided biopsy technique', shortened to the acronym SAHNA. This technique is ideal for biopsying surface osseous lesions where there is a lack of subcutaneous fat. This avoids the need for the radiologist's hand to be in close proximity to the CT scanner beam at the time of intervention.

methodsThe SAHNA technique uses a plastic surgical forceps towel clamp to stabilise the biopsy needle just proximal to the lesion after piercing through the skin. The clamp itself is stabilised via a self-adhesive dressing which is stuck down to the skin at its shank.

resultsIn our institution, we have already used the SAHNA technique successfully in over 5 cases.

conclusionThe SAHNA technique is a widely accessible and effective way of stabilising the CT biopsy needle in technically challenging superficial bony lesions.

Indexed as

Tomography, X-Ray ComputedAdhesivesBiopsy, NeedleBone DiseasesEquipment DesignHumansImage-Guided BiopsyAdhesivesBone biopsyClampCT-guidedDressingInterventionSuperficial

Identifiers

PMID31641806
OpenAlexW2981541706

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.