Preoperative Malignancy Risk Stratification in Bethesda IV Thyroid Nodules Using Integrated Clinical, Ultrasonographic, and Biochemical Parameters in Surgical Oncology Practice

Background and Objectives: Bethesda Category IV thyroid nodules present a diagnostic challenge due to their variable risk of malignancy and uncertain cytological features. Therefore, determining the risk of malignancy before surgery is important. This study aims to identify clinical, biochemical, and ultrasonographic factors associated with malignancy and to explore the performance of a multivariable analysis based on routinely available preoperative features in thyroid nodules. Methods: This retrospective, single-center study included 105 patients who underwent thyroidectomy for Bethesda Category IV cytology. The mean age was 50.13 ± 11.78 years. 87 patients (82.9%) were female, and 18 (17.1%) were male. Patients were classified into benign/borderline (n = 79) and malignant (n = 26) groups based on their postoperative histopathological findings. Demographic characteristics, serum thyroid function tests, thyroid autoantibody levels, and ultrasonographic findings were compared. Variables significantly associated with malignancy were included in a Firth bias-reduced penalized multivariable logistic regression analysis. The discriminative performance of the multivariable analysis was evaluated using ROC curve analysis, and internal validation was performed using bootstrap resampling. The AUC was compared with that of ACR TI-RADS using DeLong’s test. Results: The malignant group showed a significantly higher prevalence of male sex, irregular margins, a taller-than-wide shape, and microcalcification (all p < 0.05). In the multivariable logistic regression analysis, only irregular margins (OR = 9.46, 95% CI: 1.88–47.59; p = 0.006) were independently associated with malignancy. The model demonstrated acceptable discrimination in this study population (n = 105), with an AUC of 0.717. The AUC of the multivariable analysis was 0.717, compared with 0.704 for ACR TI-RADS, and the difference was not statistically significant (ΔAUC = 0.013; DeLong p = 0.803). Conclusions: In Bethesda Category IV thyroid nodules, irregular margins remained independently associated with malignancy. The multivariable analysis did not demonstrate significantly better discrimination than ACR TI-RADS. These findings should be considered exploratory and require external validation in larger cohorts.

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Journal
Diagnostics
Published
2026-09-27
DOI
https://doi.org/10.3390/diagnostics16193136
Primary Topic
Thyroid Cancer Diagnosis and Treatment
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article
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article

Preoperative Malignancy Risk Stratification in Bethesda IV Thyroid Nodules Using Integrated Clinical, Ultrasonographic, and Biochemical Parameters in Surgical Oncology Practice

Fuldem Mutlu, Adem Şentürk, Emre Gönüllü, Muhammet Raşit AYDIN et al.
Diagnostics
Thyroid Cancer Diagnosis and Treatment
article

Preoperative Malignancy Risk Stratification in Bethesda IV Thyroid Nodules Using Integrated Clinical, Ultrasonographic, and Biochemical Parameters in Surgical Oncology Practice

Fuldem Mutlu, Adem Şentürk, Emre Gönüllü, Muhammet Raşit AYDIN, İsmail Özer, Yavuz Selim Kahraman
article en

Abstract

Background and Objectives: Bethesda Category IV thyroid nodules present a diagnostic challenge due to their variable risk of malignancy and uncertain cytological features. Therefore, determining the risk of malignancy before surgery is important. This study aims to identify clinical, biochemical, and ultrasonographic factors associated with malignancy and to explore the performance of a multivariable analysis based on routinely available preoperative features in thyroid nodules. Methods: This retrospective, single-center study included 105 patients who underwent thyroidectomy for Bethesda Category IV cytology. The mean age was 50.13 ± 11.78 years. 87 patients (82.9%) were female, and 18 (17.1%) were male. Patients were classified into benign/borderline (n = 79) and malignant (n = 26) groups based on their postoperative histopathological findings. Demographic characteristics, serum thyroid function tests, thyroid autoantibody levels, and ultrasonographic findings were compared. Variables significantly associated with malignancy were included in a Firth bias-reduced penalized multivariable logistic regression analysis. The discriminative performance of the multivariable analysis was evaluated using ROC curve analysis, and internal validation was performed using bootstrap resampling. The AUC was compared with that of ACR TI-RADS using DeLong’s test. Results: The malignant group showed a significantly higher prevalence of male sex, irregular margins, a taller-than-wide shape, and microcalcification (all p < 0.05). In the multivariable logistic regression analysis, only irregular margins (OR = 9.46, 95% CI: 1.88–47.59; p = 0.006) were independently associated with malignancy. The model demonstrated acceptable discrimination in this study population (n = 105), with an AUC of 0.717. The AUC of the multivariable analysis was 0.717, compared with 0.704 for ACR TI-RADS, and the difference was not statistically significant (ΔAUC = 0.013; DeLong p = 0.803). Conclusions: In Bethesda Category IV thyroid nodules, irregular margins remained independently associated with malignancy. The multivariable analysis did not demonstrate significantly better discrimination than ACR TI-RADS. These findings should be considered exploratory and require external validation in larger cohorts.

DiagnosticsVol. 16(19)
Sakarya University (TR), Sakarya Eğitim ve Araştırma Hastanesi (TR), Kastamonu Education and Research Hospital (TR)
Reduced inequalities
Openalex Percentile: Top 11%
Thyroid Cancer Diagnosis and Treatment
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