Evidence map›Paper›PMID 41623822›Full record

ArticleBioinformation2025

Sonoelastography in differentiating benign and malignant thyroid nodules: A histopathological correlation.

Md Shahrukh Ansari, Suresh Kumar Toppo, Rajeev Kumar Ranjan, Anima Ranjni Xalxo, Sonali Priyadarsini Reddy, Soumik Pal, Riya Agarwal, Sumaiya Shikoh

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Article in Bioinformation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Md Shahrukh AnsariDepartment of Radio-diagnosis, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Suresh Kumar ToppoDepartment of Radio-diagnosis, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Rajeev Kumar RanjanDepartment of Radio-diagnosis, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Anima Ranjni XalxoDepartment of Radio-diagnosis, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Sonali Priyadarsini ReddyDepartment of Radio-diagnosis, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Soumik PalDepartment of Radio-diagnosis, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Riya AgarwalDepartment of Radio-diagnosis, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Sumaiya ShikohDepartment of Obstetrics and Gynaecology, Tata main Hospital, Kadma, Jamshedpur, Jharkhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thyroid nodules are common and distinguishing benign from malignant ones is essential for optimal management. This cross-sectional study of 120 patients assessed Acoustic Radiation Force Impulse (ARFI) imaging in differentiating thyroid nodules, correlating results with histopathology. Malignant nodules showed higher mean ARFI values (3.59 ± 0.7 m/s) than benign ones (1.98 ± 0.31 m/s). With a 2.8 m/s cutoff, ARFI achieved 92.6% sensitivity and 92.9% specificity. Combining ARFI with conventional ultrasound improved diagnostic accuracy, highlighting its potential to reduce unnecessary biopsies.

Indexed as

ARFIhistopathologymalignancysonoelastographyThyroid nodulesultrasound

Identifiers

PMID41623822
PMCPMC12859297

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