Diagnostic accuracy of thyroid imaging reporting and data system (Ti-Rads) in distinguishing benign from malignant nodules, keeping histopathology as gold standard in a tertiary care hospital

Background: thyroid nodules are common particularly in iodine-deficient regions such as Pakistan and most are benign. Accurate, non-invasive risk stratification is therefore essential to avoid missed cancers and unnecessary procedures. The American college of radiology thyroid imaging reporting and data system (ti-rads) offers a standardized ultrasound framework. This study evaluated the diagnostic accuracy of ti-rads against histopathology and compared performance with fine-needle aspiration cytology (fnac). Methods: In a single-center cross-sectional study over 10 months, 150 adults (20–60 years) with a single thyroid nodule underwent high-resolution ultrasound with ti-rads scoring and ultrasound-guided fnac. A surgical/biopsy subset had histopathology as the reference standard. Data were analyzed in spss v25; continuous variables were summarized as mean±SD or median. Diagnostic metrics (sensitivity, specificity, positive predictive value (ppv), negative predictive value (npv), accuracy) were calculated from 2×2 contingency tables versus histopathology Results: women comprised 85.3% (128/150); mean age 42.4±14.2 years; right-lobe nodules were common (69.3%). ti-rads distribution favoured lower risk (tr3 62.0%, tr4 22.0%). in 32 cases with histopathology, ti-rads showed sensitivity of 70.0%, specificity 77.3%, ppv 58.3%, npv 85.0%, and accuracy 75.0% with 95%CI range (67.2% – 81.0%). FNAC performed better having sensitivity of 90.9%, specificity 81.0%, ppv 71.4%, npv 94.4%, and accuracy 84.4%. histopathology-based risk of malignancy rose stepwise with ti-rads category. tr2 33.3% (4/12), tr3 50.0% (4/8), tr4 70.0% (7/10), tr5 100% (2/2). Conclusion: Ti-rads showed moderate diagnostic performance with a graded increase in malignancy risk, suggesting its potential usefulness as a triage or screening framework. FNAC appeared to offer higher sensitivity and npv, highlighting its value in confirming or excluding malignancy.

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Publication Details

Journal
International Journal of Pathology
Published
2025-09-29
DOI
https://doi.org/10.59736/ijp.23.03.984
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Diagnostic accuracy of thyroid imaging reporting and data system (Ti-Rads) in distinguishing benign from malignant nodules, keeping histopathology as gold standard in a tertiary care hospital

Ruqaiya Shahid, Mariam Taufiq, Nabil F. Saba, Binish Rasheed et al.
International Journal of Pathology
Radiomics and Machine Learning in Medical Imaging
article

Diagnostic accuracy of thyroid imaging reporting and data system (Ti-Rads) in distinguishing benign from malignant nodules, keeping histopathology as gold standard in a tertiary care hospital

Ruqaiya Shahid, Mariam Taufiq, Nabil F. Saba, Binish Rasheed, Nida Rafiq, Nasreen Naz
article en

Abstract

Background: thyroid nodules are common particularly in iodine-deficient regions such as Pakistan and most are benign. Accurate, non-invasive risk stratification is therefore essential to avoid missed cancers and unnecessary procedures. The American college of radiology thyroid imaging reporting and data system (ti-rads) offers a standardized ultrasound framework. This study evaluated the diagnostic accuracy of ti-rads against histopathology and compared performance with fine-needle aspiration cytology (fnac). Methods: In a single-center cross-sectional study over 10 months, 150 adults (20–60 years) with a single thyroid nodule underwent high-resolution ultrasound with ti-rads scoring and ultrasound-guided fnac. A surgical/biopsy subset had histopathology as the reference standard. Data were analyzed in spss v25; continuous variables were summarized as mean±SD or median. Diagnostic metrics (sensitivity, specificity, positive predictive value (ppv), negative predictive value (npv), accuracy) were calculated from 2×2 contingency tables versus histopathology Results: women comprised 85.3% (128/150); mean age 42.4±14.2 years; right-lobe nodules were common (69.3%). ti-rads distribution favoured lower risk (tr3 62.0%, tr4 22.0%). in 32 cases with histopathology, ti-rads showed sensitivity of 70.0%, specificity 77.3%, ppv 58.3%, npv 85.0%, and accuracy 75.0% with 95%CI range (67.2% – 81.0%). FNAC performed better having sensitivity of 90.9%, specificity 81.0%, ppv 71.4%, npv 94.4%, and accuracy 84.4%. histopathology-based risk of malignancy rose stepwise with ti-rads category. tr2 33.3% (4/12), tr3 50.0% (4/8), tr4 70.0% (7/10), tr5 100% (2/2). Conclusion: Ti-rads showed moderate diagnostic performance with a graded increase in malignancy risk, suggesting its potential usefulness as a triage or screening framework. FNAC appeared to offer higher sensitivity and npv, highlighting its value in confirming or excluding malignancy.

International Journal of PathologyVol. 23(3)
Dow University of Health Sciences (PK)
Openalex Percentile: Top 58%
Radiomics and Machine Learning in Medical Imaging
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