Evidence map›Paper›PMID 35832364›Full record

ArticleJournal of medical ultrasound

Evaluation of Acoustic Radiation Force Impulse Imaging in Differentiating Benign and Malignant Cervical Lymphadenopathy.

Kamat Rohan, Ananthakrishnan Ramesh, K Nagarajan, K M Abdulbasith, Sathasivam Sureshkumar, Chellappa Vijayakumar, K Balamourougan, B H Srinivas

Abstract read
In one paragraph

Article in Journal of medical ultrasound. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Elastography for distinguishing lymphoma from benign and metastatic lymphadenopathy: a systematic review and Bayesian meta-analysis.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Pooled it
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

8 authors.

Kamat RohanDepartment of Radio Diagnosis, Jawaharlal Institute of Post Graduate Medical Education and Research, Puducherry, India.
Ananthakrishnan RameshDepartment of Radio Diagnosis, Jawaharlal Institute of Post Graduate Medical Education and Research, Puducherry, India.
K NagarajanDepartment of Radio Diagnosis, Jawaharlal Institute of Post Graduate Medical Education and Research, Puducherry, India.
K M AbdulbasithDepartment of General Surgery, Jawaharlal Institute of Post Graduate Medical Education and Research, Puducherry, India.
Sathasivam SureshkumarDepartment of General Surgery, Jawaharlal Institute of Post Graduate Medical Education and Research, Puducherry, India.
Chellappa VijayakumarDepartment of General Surgery, Jawaharlal Institute of Post Graduate Medical Education and Research, Puducherry, India.
K BalamourouganDepartment of General Surgery, Jawaharlal Institute of Post Graduate Medical Education and Research, Puducherry, India.
B H SrinivasDepartment of Pathology, Jawaharlal Institute of Post Graduate Medical Education and Research, Puducherry, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The aim of this study was to assess the diagnostic role of acoustic radiation force impulse imaging (ARFI) in differentiating benign and malignant cervical nodes. Methods: This was a diagnostic accuracy cross-sectional study. All patients who underwent ultrasound-guided fine-needle aspiration cytology (FNAC) of cervical nodes were included. Patients without FNAC/biopsy and patients in whom cervical nodes were cystic or completely necrotic were excluded. FNAC was used as reference investigation to predict the diagnostic accuracy. In all cases, FNAC was carried out after the B-mode, color Doppler and the ARFI imaging. In patients with multiple cervical lymph nodes, the most suspicious node based on grayscale findings was chosen for ARFI. ARFI included Virtual Touch imaging (VTI), area ratio (AR), and shear wave velocity (SWV) for each node, and the results were compared with FNAC/biopsy. Results: The final analysis included 166 patients. Dark VTI elastograms had sensitivity and specificity of 86.2% and 72.1%, respectively, in identifying malignant nodes. Sensitivity and specificity of AR were 71.3% and 82.3%, respectively, for a cutoff of 1.155. Median SWV of benign and malignant nodes was 1.9 [95% confidence interval (CI), 1.56-2.55] m/s and 6.7 (95% CI, 2.87-9.10) m/s, respectively. SWV >2.68 m/s helped in identifying malignant nodes with 81% specificity, 81.6% sensitivity, and 81.3% accuracy. ARFI was found to be inaccurate in tuberculous and lymphomatous nodes. Conclusion: Malignant nodes had significantly darker elastograms, higher AR and SWV compared to benign nodes, and SWV was the most accurate parameter. ARFI accurately identifies malignant nodes, hence could potentially avoid unwarranted biopsy.

Indexed as

Acoustic radiation force impulseacoustic radiation force impulse imagingarea ratiocervical lymph nodesshear wave velocityVirtual Touch imaging

Identifiers

PMID35832364
PMCPMC9272720

What OpenQuestion holds

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Registered trials

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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.