ArticleQuantitative imaging in medicine and surgery2026
The combination of virtual touch tissue imaging quantification (VTIQ) and American College of Radiology's Thyroid Imaging Reporting and Data System (ACR TI-RADS) improves the diagnostic efficiency for thyroid nodules with Hashimoto's thyroiditis: a retrospective study.
Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Hashimoto's thyroiditis (HT) is a common autoimmune thyroid disease, which is significantly related to papillary thyroid carcinoma. The present study aimed to assess the diagnostic value of virtual touch tissue imaging quantification (VTIQ) combined with the American College of Radiology's Thyroid Imaging Reporting and Data System (ACR TI-RADS) in benign and malignant thyroid nodules (TNs) with concurrent HT. Methods: This single-center retrospective observation consecutively selected patients diagnosed with TNs with HT. All patients underwent conventional ultrasound examination and VTIQ. The composition, echogenicity, shape, margins, and echogenic foci were recorded and evaluated, and the lesions were classified by the 2017 ACR TI-RADS. We assessed the diagnostic performance of the average, minimum, and maximum shear wave velocity (SWV) values captured from VTIQ mode. Results: Pathological analyses of 235 TNs revealed 133 benign and 102 malignant nodules. A total of 86 lesions were classified as malignant, and 113 were classified as benign by ACR TI-RADS, with 84.3% sensitivity, 85.0% specificity, and 84.7% accuracy. A total of 89 lesions were classified as malignant, and 114 were classified as benign by VTIQ, with 86.3% sensitivity, 85.7% specificity, and 85.9% accuracy. A total of 91 lesions were classified as malignant, and 117 were classified as benign by combining VTIQ and ACR TI-RADS, with 88.0% sensitivity, 89.2% specificity, and 88.5% accuracy. Conclusions: The VTIQ technique is a valuable tool for distinguishing malignant from benign TNs in patients with HT. There was a linear dose-response relationship between the average SWV (SWVavg) and malignant TNs. The combination of VTIQ and ACR TI-RADS can help to improve the diagnostic efficiency in distinguishing between benign and malignant TNs with HT.
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.