A nomogram based on ultrasound characteristics to predict large-number cervical lymph node metastasis in papillary thyroid carcinoma

Zhang, Meiwu; Zhang, Yan; Qiu, Yuqin; Wei, Huilin; Lyu, Shuyi

doi:10.1507/endocrj.ej22-0404

Cited by 2 publications

(4 citation statements)

References 45 publications

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“…Notably, the number of LNM greater than 5 will signi cantly reduces the prognosis in PTC patients, arousing the attention of clinicians. Therefore, in this study, we arti cially de ned the presence of LNM more than ve as LNLNM referring to previous studies, and explore the risk factors of LNLNM [9]. Analysis found that age, tumor diameter, NLR, and Plt were independent risk factors for LNLNM in PTC patients.…”

Section: Discussionmentioning

confidence: 96%

“…Moreover, previous research has predominantly relied on ultrasound characteristics to develop models for predicting the number of LNM in PTC patients [9]. Notably, ultrasound factors such as nodule size, multifocal disease and taller-than-wide shape, of LNM have been identi ed as independent predictors with superior predictive e cacy.…”

Section: Discussionmentioning

confidence: 99%

“…The latest American Thyroid Association (ATA) guidelines have determined that if more than ve LNM will reach the intermediate risk or above, the recurrence risk will vary from 4% in fewer than ve LNM to 19% in more than ve LNM in PTC patients [8]. Therefore, the number of LNM, speci cally the number of LNM is more than ve which de ned as large-number lymph node metastases (LNLNM), will signi cantly reduce the prognosis of patients [9]. Regrettably, existing conventional methods, such as preoperative cervical ultrasound and computed tomography, could not accurately detected the LNLNM in PTC patients [10].…”

Section: Introductionmentioning

confidence: 99%

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A Retrospective Analysis: A Predictive Model Using Platelets and Neutrophil-to- Lymphocyte Ratio for the Number of Lymph Node Metastasis in Papillary Thyroid Carcinoma

Chen,

Wu,

et al. 2024

Preprint

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Objective The aim of this study was to investigate the high-risk clinical factors for large-number lymph node metastases (LNLNM) inthyroid papillary carcinoma (PTC). Methods The clinicopathological data from the 731 PTC patients who underwent thyroid operation between September 2021to October 2022 in the surgical oncology of Affiliated Hangzhou First People’s Hospital, Westlake University School of Medicine were collected. Univariate and multivariate logistic analyses were conducted to identify risk factors for LNLNM in PTC. A predictive model for assessing LNLNM in PTC was established and validated by using receiver operating characteristic curves (ROC), the Hosmer-Lemeshow (HL)test, calibration curves, and decision curve analysis (DCA). Results Age, tumor diameter, platelets and neutrophil-to-lymphocyte ratio (NLR) were identified as independent risk factors for LNLNM in PTC patients. A predictive model was developed to evaluate the risk of LNLNMwith an area under the curve (AUC) of 0.827 (P<0.001, 95%CI: 0.784-0.870) and the specificity and sensitivity were both 75.8%. The AUC of the validation group was 0.824(P<0.001, 95%CI: 0.757-0.890) with a specificity of 79.5% and a sensitivity of 76.0%. Furthermore, themodel demonstrated good calibration through the HL test and favorable diagnostic value by calibration curve and DCA. Conclusion Age, tumor diameter, platelets and NLRare high-risk factors for LNLNM in PTC, and the predictive model established in combination with the above factors couldeffectively predict the occurrence of LNLNM in PTC. This study provides support for surgeons to accurately predict the possibility of LNLNM and develop personalized treatment plans before surgery.

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Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Retrospective Analysis: A Predictive Model Using Platelets and Neutrophil-to- Lymphocyte Ratio for the Number of Lymph Node Metastasis in Papillary Thyroid Carcinoma

Chen,

Wu,

et al. 2024

Preprint

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“…These features are systematically acquired from the images, aiming to encapsulate intricate nuances, patterns, and textures that may elude the capabilities of human visual perception. For instance, its efficacy for predicting microvascular invasion in hepatocellular carcinoma [2], forecasting the lymphovascular invasion in patients with invasive breast cancer [3], and envisaging the likelihood of extensive cervical Diagnostics 2023, 13, 3280 2 of 14 lymph node metastasis in papillary thyroid carcinoma have been demonstrated [4]. Herewith, ultrasound radiomics presents some challenges as well.…”

Section: Introductionmentioning

confidence: 99%

The Potential of Ultrasound Radiomics in Carpal Tunnel Syndrome Diagnosis: A Systematic Review and Meta-Analysis

Wu,

Lin,

Shu

et al. 2023

Diagnostics

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Background: Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy for which ultrasound imaging has recently emerged as a valuable diagnostic tool. This meta-analysis aims to investigate the role of ultrasound radiomics in the diagnosis of CTS and compare it with other diagnostic approaches. Methods: We conducted a comprehensive search of electronic databases from inception to September 2023. The included studies were assessed for quality using the Quality Assessment Tool for Diagnostic Accuracy Studies. The primary outcome was the diagnostic performance of ultrasound radiomics compared to radiologist evaluation for diagnosing CTS. Results: Our meta-analysis included five observational studies comprising 840 participants. In the context of radiologist evaluation, the combined statistics for sensitivity, specificity, and diagnostic odds ratio were 0.78 (95% confidence interval (CI), 0.71 to 0.83), 0.72 (95% CI, 0.59 to 0.81), and 9 (95% CI, 5 to 15), respectively. In contrast, the ultrasound radiomics training mode yielded a combined sensitivity of 0.88 (95% CI, 0.85 to 0.91), a specificity of 0.88 (95% CI, 0.84 to 0.92), and a diagnostic odds ratio of 58 (95% CI, 38 to 87). Similarly, the ultrasound radiomics testing mode demonstrated an aggregated sensitivity of 0.85 (95% CI, 0.78 to 0.89), a specificity of 0.80 (95% CI, 0.73 to 0.85), and a diagnostic odds ratio of 22 (95% CI, 12 to 41). Conclusions: In contrast to assessments by radiologists, ultrasound radiomics exhibited superior diagnostic performance in detecting CTS. Furthermore, there was minimal variability in the diagnostic accuracy between the training and testing sets of ultrasound radiomics, highlighting its potential as a robust diagnostic tool in CTS.

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A nomogram based on ultrasound characteristics to predict large-number cervical lymph node metastasis in papillary thyroid carcinoma

Cited by 2 publications

References 45 publications

A Retrospective Analysis: A Predictive Model Using Platelets and Neutrophil-to- Lymphocyte Ratio for the Number of Lymph Node Metastasis in Papillary Thyroid Carcinoma

A Retrospective Analysis: A Predictive Model Using Platelets and Neutrophil-to- Lymphocyte Ratio for the Number of Lymph Node Metastasis in Papillary Thyroid Carcinoma

The Potential of Ultrasound Radiomics in Carpal Tunnel Syndrome Diagnosis: A Systematic Review and Meta-Analysis

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