Terminology and nomenclature schemes for reporting thyroid cytopathology: An overview

Collins, Jennifer A.; Rossi, Esther Diana; Chandra, Ashish; Ali, Syed Z.

doi:10.1053/j.semdp.2014.12.007

Cited by 12 publications

(4 citation statements)

References 41 publications

(61 reference statements)

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“…The judgment of benign and malignant of thyroid nodule is the core to determine the subsequent treatment plan. Ultrasound-guided fine-needle aspiration cytology (FNAC) is an important diagnostic method for preoperative assessment of thyroid nodules, which was first developed in developed countries in the 1980s and has been widely used since then; however, the results of FNAC with no diagnostic value or unclear significance still cause distress to the clinical management of such patients (Collins et al , 2015; Park et al , 2018).…”

Section: Introductionmentioning

confidence: 99%

Retracted: A Comparative Study of ARHI Imprinted Gene Detection and Fine-Needle Aspiration Cytology in the Differential Diagnosis of Benign and Malignant Thyroid Nodules

Zou

Miao

et al. 2019

Genetic Testing and Molecular Biomarkers

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Aims: To compare fine-needle aspiration cytology (FNAC) with imprinted gene detection in the differential diagnosis of benign and malignant thyroid nodules.Methods: A total of 34 patients (35 cases of thyroid nodules) were examined using fine-needle puncture biopsy under ultrasound guidance, and the biopsy tissues were examined by cytologic examination and imprinted gene detection. Combined with postoperative pathology and follow-up results, the diagnostic value and consistency of the two methods were analyzed and compared.Results: The detection of benign and malignant thyroid nodules by ARHI imprinted gene had a high consistency with FNAC, and ARHI imprinted gene detection had a higher detection rate, sensitivity, and accuracy.Conclusions: Imprinted gene detection has high accuracy and sensitivity in the differential diagnosis of benign and malignant thyroid nodules. It provides a scientific reference for clinical treatment and should be incorporated into diagnostic protocols for thyroid tumor.

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Section: Introductionmentioning

confidence: 99%

Retracted: A Comparative Study of ARHI Imprinted Gene Detection and Fine-Needle Aspiration Cytology in the Differential Diagnosis of Benign and Malignant Thyroid Nodules

Zou

Miao

et al. 2019

Genetic Testing and Molecular Biomarkers

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“…Dans notre centre, la classification est effectuée sur la base du système de Bethesda; un autre système de classification très répandu a été élaboré par le «Royal College of Pathologists» (tab. 2) [22,23]…”

Section: Cytologie Et Pathologie Moléculaireunclassified

Nodules thyroïdiens bénins: une approche spécifique à un centre

et al. 2023

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“…FNA is considered the gold standard for the preoperative diagnosis of thyroid cancer. However, it is an invasive procedure, and approximately 20-30% of the puncture results are either nondiagnostic or of uncertain signi cance [13,14].…”

Section: Introductionmentioning

confidence: 99%

Prediction model based on MRI morphological features for distinguishing benign and malignant thyroid nodules

Zheng,

Wang,

Wang

et al. 2023

Preprint

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Background The low specificity of Thyroid Imaging Reporting and Data System (TI-RADS) for preoperative benign-malignant diagnosis leads to a large number of unnecessary biopsies. This study developed and validated a predictive model based on MRI morphological features to improve the specificity. Methods A retrospective analysis was conducted on 825 thyroid nodules pathologically confirmed postoperatively. Univariate and multivariate logistic regression was used to obtain β coefficients, construct predictive models and nomogram incorporating MRI morphological features in the training cohort, and validated in a validation cohort. The discrimination, calibration, and decision curve analysis of the nomogram were performed. The diagnosis efficacy, area under the curve (AUC) and net reclassification index (NRI) were calculated and compared with TI-RADS. Results 572 thyroid nodules were included (training cohort: n = 397, validation cohort: n = 175). Age, low signal intensity on T2WI, restricted diffusion, reversed halo sign in delay phase, cystic degeneration and wash-out pattern independent predictors of malignancy. The nomogram demonstrated good discrimination and calibration both in the training cohort (AUC = 0.972) and the validation cohort (AUC = 0.968). The accuracy, sensitivity, specificity, PPV, NPV and AUC of MRI-based prediction are 94.4%, 96.0%, 93.4%, 89.9%, 96.5% and 0.947, respectively. The MRI-based prediction model exhibited enhanced accuracy (NRI > 0) in comparison to TI-RADSs. Conclusions The prediction model for diagnosis of benign and malignant thyroid nodules demonstrates a more notable diagnostic efficacy than TI-RADS. Compared with the TI-RADSs, predictive models have better specificity along with a high sensitivity and can reduce overdiagnosis and unnecessary biopsies.

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Terminology and nomenclature schemes for reporting thyroid cytopathology: An overview

Cited by 12 publications

References 41 publications

Retracted: A Comparative Study of ARHI Imprinted Gene Detection and Fine-Needle Aspiration Cytology in the Differential Diagnosis of Benign and Malignant Thyroid Nodules

Retracted: A Comparative Study of ARHI Imprinted Gene Detection and Fine-Needle Aspiration Cytology in the Differential Diagnosis of Benign and Malignant Thyroid Nodules

Nodules thyroïdiens bénins: une approche spécifique à un centre

Prediction model based on MRI morphological features for distinguishing benign and malignant thyroid nodules

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