Evidence map›Paper›PMID 41488165›Full record

ArticleJournal of medical ultrasound

Diagnostic Accuracy of a Sonographic Scoring System in Predicting the Malignant Potential of a Soft-tissue Swelling.

Anmol Mishra, Sohini Sengupta, Ranu Roy Biswas, Dibakar Bagchi, Ankita Mishra, Narayan Pandit

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Anmol MishraDepartment of Radiodiagnosis, North Bengal Medical College, Darjeeling, West Bengal, India.
Sohini SenguptaDepartment of Radiodiagnosis, Chittaranjan Seva Sadan and Sishu Sadan Hospital, Kolkata, West Bengal, India.
Ranu Roy BiswasDepartment of Pathology, Medical College and Hospital, Kolkata, West Bengal, India.
Dibakar BagchiDepartment of General Surgery, North Bengal Medical College, Darjeeling, West Bengal, India.
Ankita MishraDepartment of Community Medicine, ID and BG Hospital, Kolkata, West Bengal, India.
Narayan PanditDepartment of Radiodiagnosis, North Bengal Medical College, Darjeeling, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Soft-tissue masses usually present as painless palpable lumps. Although histopathologic examination (HPE) is diagnostic, ultrasonography (USG), being cost-effective, is the preferred screening modality. However, as it is operator dependent, the diagnostic accuracy might be affected. Thus, this study was planned to determine the diagnostic accuracy of USG with Doppler in identifying the malignant nature of soft-tissue swellings and also to develop a scoring system with a valid cutoff to help differentiate malignant lesions from the benign ones. Methods: This analytical study with longitudinal design was conducted from July 2022 to June 2024 on patients with soft-tissue swelling selected by systematic random sampling. Data were collected by face-to-face interview, USG with Doppler, and histopathological examination. Data were presented with the help of descriptive and inferential statistics. Results: USG had 83.3% sensitivity, 89.5% specificity, 71.4% positive predictive value, 94.4% negative predictive value, and 88.0% accuracy in differentiating between benign and malignant soft-tissue swelling. The interrater reliability between USG and HPE indicated "substantial agreement" (Cohen's Kappa 0.689, Conclusion: USG with Doppler can accurately differentiate between benign and malignant soft-tissue swelling. USG with Doppler-based scoring system could increase the sensitivity and specificity of this imaging modality.

Indexed as

Dopplerhistopathological examinationscoring methodsoft-tissue neoplasmultrasonography

Identifiers

PMID41488165
PMCPMC12758886

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.