Development of a Nomogram to Integrate Molecular Testing and Clinical Variables to Improve Malignancy Risk Assessment Among Cytologically Indeterminate Thyroid Nodules

<b><i>Background:</i></b> The introduction of molecular testing (MT) of cytologically indeterminate thyroid nodules (ITNs) alone has not impacted thyroidectomy rates. Due to this, we evaluated the incremental diagnostic value of various clinical variables in addition to MT results, in predicting the risk of malignancy (ROM) among ITNs. <b><i>Methods:</i></b> This prospective observational study included 1024 consecutive ITNs that underwent reflexive ThyroSPEC MT between Jul 30, 2020, and Oct 30, 2023. A multivariable logistic regression model was built to assess the relationship between histology outcomes and clinical variables, including nodule discovery by palpation, ultrasound risk categories, maximum nodule size, Bethesda category, Bethesda atypia, and ThyroSPEC categories. A total of 332 out of 1024 patients who underwent surgery and had complete data for all variables were included in the model. A nomogram was subsequently developed based on the model. <b><i>Results:</i></b> The model achieved a cross-validated AUC of 0.831 (95% confidence intervals: 0.787-0.874). Patients with high-risk mutations or malignant molecular markers exhibited significantly higher odds (152.79 times) of malignancy compared to those with mutation-negative or benign molecular marker results. Patients with maximum nodule size >5 cm have 4.34 times higher odds of malignancy than those 0-2 cm. The presence of nuclear atypia increased the odds of malignancy by 4.26 times, while ultrasound malignancy risk category 5 increased the odds of malignancy by 2.89 times compared to categories 1-3. Positive palpation discovery increased the odds by 1.83 times. The integrated ROM estimated from the regression model is significantly associated with the surgery type (<i>p</i> < 0.001). In the low (0-30%) and intermediate ROM (31-70%) categories, lobectomy alone is the most common surgery (61% and 70%, respectively), while in the high ROM (>70%) category, total thyroidectomy dominates (62%). <b><i>Conclusions:</i></b> Although MT alone played an important role in decision-making regarding surveillance versus surgery in our study population, integrating MT results with additional clinical variables improved the malignancy risk prediction for ITNs. Our results highlight the importance of contextualizing MT results within an integrated interdisciplinary thyroid nodule diagnostic pathway.

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Publication Details

Journal
Thyroid
Published
2025-03-05
DOI
https://doi.org/10.1089/thy.2024.0481
Citations
5
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
6.47
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article

Development of a Nomogram to Integrate Molecular Testing and Clinical Variables to Improve Malignancy Risk Assessment Among Cytologically Indeterminate Thyroid Nodules

Moosa Khalil, Ralf Paschke, Sana Ghaznavi, Erik Nohr et al.
5 citations
Thyroid
Thyroid Cancer Diagnosis and Treatment
6.47
article

Development of a Nomogram to Integrate Molecular Testing and Clinical Variables to Improve Malignancy Risk Assessment Among Cytologically Indeterminate Thyroid Nodules

Moosa Khalil, Ralf Paschke, Sana Ghaznavi, Erik Nohr, J. Wu, Paul Stewardson, Markus Eszlinger, Adrian Box
article en
5 citations

Abstract

<b><i>Background:</i></b> The introduction of molecular testing (MT) of cytologically indeterminate thyroid nodules (ITNs) alone has not impacted thyroidectomy rates. Due to this, we evaluated the incremental diagnostic value of various clinical variables in addition to MT results, in predicting the risk of malignancy (ROM) among ITNs. <b><i>Methods:</i></b> This prospective observational study included 1024 consecutive ITNs that underwent reflexive ThyroSPEC MT between Jul 30, 2020, and Oct 30, 2023. A multivariable logistic regression model was built to assess the relationship between histology outcomes and clinical variables, including nodule discovery by palpation, ultrasound risk categories, maximum nodule size, Bethesda category, Bethesda atypia, and ThyroSPEC categories. A total of 332 out of 1024 patients who underwent surgery and had complete data for all variables were included in the model. A nomogram was subsequently developed based on the model. <b><i>Results:</i></b> The model achieved a cross-validated AUC of 0.831 (95% confidence intervals: 0.787-0.874). Patients with high-risk mutations or malignant molecular markers exhibited significantly higher odds (152.79 times) of malignancy compared to those with mutation-negative or benign molecular marker results. Patients with maximum nodule size >5 cm have 4.34 times higher odds of malignancy than those 0-2 cm. The presence of nuclear atypia increased the odds of malignancy by 4.26 times, while ultrasound malignancy risk category 5 increased the odds of malignancy by 2.89 times compared to categories 1-3. Positive palpation discovery increased the odds by 1.83 times. The integrated ROM estimated from the regression model is significantly associated with the surgery type (<i>p</i> < 0.001). In the low (0-30%) and intermediate ROM (31-70%) categories, lobectomy alone is the most common surgery (61% and 70%, respectively), while in the high ROM (>70%) category, total thyroidectomy dominates (62%). <b><i>Conclusions:</i></b> Although MT alone played an important role in decision-making regarding surveillance versus surgery in our study population, integrating MT results with additional clinical variables improved the malignancy risk prediction for ITNs. Our results highlight the importance of contextualizing MT results within an integrated interdisciplinary thyroid nodule diagnostic pathway.

ThyroidVol. 35(5)
University of Calgary (CA)
Good health and well-being
Openalex Percentile: Top 4%
Thyroid Cancer Diagnosis and Treatment
6.47
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