Evidence map›Paper›PMID 39493010›Full record

ArticleCureus2024

Clinicopathological and Radiological Correlation Among the Spectrum of Nodular Thyroid Lesions.

Keerthana Rajyakodi, Archana Balasubramanian, Sandhya Sundaram, Harini Gnanavel

Abstract read
In one paragraph

Article in Cureus, 2024. 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

4 authors.

Keerthana RajyakodiPathology, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND.
Archana BalasubramanianPathology, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND.
Sandhya SundaramPathology, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND.
Harini GnanavelRadiology, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective The primary objective of this study is to comprehensively evaluate nodular thyroid lesions. By analyzing the morphological characteristics of surgically resected specimens and biopsies, the aim is to establish correlations between the patterns, corresponding clinical diagnoses and radiological findings. Furthermore, the study will investigate cases where there is a discrepancy between imaging and pathological assessments, with the goal of understanding the contributing factors to this discordance and improving diagnostic accuracy. Methodology This retrospective observational study utilized convenience sampling to recruit participants. Sample size was determined using GPower software (Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany). Statistical analysis was performed using Jamovi 2.3.28 (Jamovi Research, Vienna, Austria). The Chi-square test was employed to assess the association between the Thyroid Imaging Reporting and Data System (TIRADS) score and histopathological diagnosis. Receiver operating characteristic (ROC) analysis was conducted to identify the optimal TIRADS cut-off point for classifying nodules as malignant and to evaluate the diagnostic accuracy of TIRADS. Discordant cases between histopathological and radiological findings were analyzed to investigate potential discrepancies. Result Taking into consideration histopathology report as a gold standard, correlation of TIRADS with histopathology findings, TIRADS showed 73.08% sensitivity and 81.08% specificity, showing the strongest balance between sensitivity and specificity, as demonstrated by the Youden's Index and Metric Score. The area under the curve (AUC) remains constant at 0.805, suggesting a consistent overall discriminative ability of the TIRADS scale. Conclusion A primary advantage of this study is its exclusive focus on surgically resected nodules, which allows for definitive histological confirmation and thereby ensures the most accurate diagnostic assessment.

Indexed as

discordancefollicular neoplasmniftpnodular lesionpapillary carcinomarisk of malignancytirads

Identifiers

PMID39493010
PMCPMC11530354

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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.