Revised Thyroid Imaging Reporting and Data System (TIRADS): imitating the American College of Radiology TIRADS, a single-center retrospective study

Liang, Fengping; Li, Xiang; Qiao, Junfei; He, Danni; Yang, Mo; Xu, Zhihui

doi:10.21037/qims-22-1307

Cited by 3 publications

(3 citation statements)

References 24 publications

(31 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Diameter was recognized as another independent risk predictor for CLNM, and we considered that the more extensive the PTC lesion, the more aggressive it was ( 9 ). Taller-than-wide was an independent risk factor because benign nodules grew parallel to regular tissue planes, whereas malignant nodules grew across normal tissue planes ( 31 , 32 ). Microcalcification appeared as hyperechoic spots ≤1 mm in diameter on ultrasound image and can be named as psammoma bodies (PBs) histologically.…”

Section: Discussionmentioning

confidence: 99%

A nomogram for risk stratification of central cervical lymph node metastasis in patients with papillary thyroid carcinoma

Zou,

Shi,

et al. 2024

Quant Imaging Med Surg

View full text Add to dashboard Cite

Background Whether to perform prophylactic central lymph node dissection for cN0 papillary thyroid carcinoma (PTC) patients is still controversial. This retrospective study aimed to develop and validate a nomogram based on ultrasound and dual-energy computed tomography (DECT) for the risk stratification of central lymph node metastasis (CLNM) in patients with PTC. Methods A total of 525 patients from 2017 to 2019 [Tianjin First Central Hospital (Hospital A)] were retrospectively analyzed to form the training cohort and to conduct internal validation. Another group of 204 patients in 2020 (Hospital A) formed the temporal validation cohort. A total of 107 patients in 2020 [Binzhou Medical University Hospital (Hospital B)] formed the geographic validation cohort, which was a retrospective cohort study. The area under the curve (AUC), calibration curve, and decision curve were used to evaluate the performance of the nomogram. The locally weighted regression curve was used for risk stratification. Results Diameter, taller-than-wide, calcification, capsular invasion, and iodine concentration in the arterial and venous phases were independent risk predictors of CLNM. The AUC of the nomogram was 0.922 (95% confidence interval: 0.895–0.943) in the training cohort. Two external validation cohorts demonstrated the good performance of the nomogram in predicting CLNM, with AUCs of 0.912 and 0.861. The significantly improved net reclassification index and integrated discriminatory improvement index indicated that DECT was a powerful supplement to ultrasound for predicting CLNM. The risk stratification system divided all patients into low-risk (0–50 points), intermediate-risk (51–100 points), and high-risk groups (>100 points). Conclusions The nomogram and risk stratification system estimated the utility of CLNM to guide individualized treatment of patients with PTC.

show abstract

Section: Discussionmentioning

confidence: 99%

A nomogram for risk stratification of central cervical lymph node metastasis in patients with papillary thyroid carcinoma

Zou,

Shi,

et al. 2024

Quant Imaging Med Surg

View full text Add to dashboard Cite

show abstract

“…Data were collected on the following imaging features: tumor location, categorized as diffuse, isthmic, upper, middle, or lower; tumor size; tumor margin, whether smooth or ill-defined; tumor shape, as regular or irregular; calcification, classified as macro, micro, mixed, or none; adjacency of the tumor to the anterior, posterior, medial, or lateral thyroid capsule; distance 3 1 or <1 mm between tumor and RLN; as well as loss of the typical fascicular echotexture of the RLN along the long axis, loss of the echotexture of the RLN epineurium, and loss of the echotexture of RLN fibers and perineurium, all categorized as yes or no. In patients with multiple lesions, we collected data only from the one that was categorized as 4b, 4c, or 5 according to Thyroid Imaging Reporting and Data System (TI-RADS) criteria ( 19 , 20 ) and that lay close to the tracheoesophageal groove.…”

Section: Methodsmentioning

confidence: 99%

Predicting recurrent laryngeal nerve invasion by preoperative ultrasonography in patients with thyroid carcinoma

He,

Yang,

Wen

et al. 2023

Quant Imaging Med Surg

View full text Add to dashboard Cite

Background For thyroid cancer staging, evaluation of extent of local invasion, including recurrent laryngeal nerve (RLN), may assist surgical decision-making. Methods This prospective study evaluated patients who underwent thyroidectomy at a single tertiary-level academic institution. Patients with complete clinical information and ultrasound imaging of thyroid carcinoma and RLN were enrolled. Those who had thyroidectomy before or did not fit the above conditions were excluded. Patients were assigned to either a development or validation cohort. Development of models was constructed in a primary cohort based on preoperative ultrasound features and clinicodemographic data from August 2020 to December 2021. Validation of the models was then performed on an independent cohort between January and March of 2022. Multivariate logistic regression and nomograms were mainly used for statistical analysis. Results Using data from 816 patients (80 RLN invasion), we built nomogram 1 based on age [95% confidence interval (CI): 1.315 to 145.933, P=0.029], body mass index (BMI; 95% CI: 1.228 to 10.874, P=0.020), tumor size (95% CI: 4.677 to 1,373.1, P=0.002), tumor adjacent to medial (95% CI: 1.816 to 26.713, P=0.005) and posterior thyroid capsules (95% CI: 5.567 to 756.583, P=0.001), and distance <1 mm between tumor and the RLN (95% CI: 10.389 to 826.746, P<0.001). Nomogram 2 was built based on tumor adjacent to the posterior thyroid capsule (95% CI: 2.922 to 53,074.51, P=0.017), distance <1 mm between tumor and the RLN (95% CI: 1.478 to 1,241.646, P=0.029), and loss of typical fascicular echotexture of the RLN along the long axis (95% CI: 35.11 to 53,272.81, P<0.001). In the validation cohort, nomogram 1 and 2 showed sensitivities of 94.74% and 57.89%, specificities of 74.12% and 95.29%, positive predictive values (PPV) of 45.00% and 73.26%, negative predictive values (NPV) of 98.43% and 91.03%, accuracies of 76.92% and 88.46%, and C-indices of 0.86 and 0.89. Conclusions Preoperative ultrasound is a feasible approach to evaluate RLN invasion in patients with thyroid carcinoma. Nomogram 1 may sensitively identify the risk of RLN invasion, and it may be checked using the more specific and accurate nomogram 2 to reduce false positives.

show abstract

“…Those scoring systems help to decide if a thyroid nodule is benign or malignant by combining multiple ultrasound features and enabling physicians to diagnose thyroid nodules more efficiently. By using this method, the number of unnecessary fine-needle aspirations can be considerably reduced [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Can Routine Laboratory Tests Be Suggestive in Determining Suspicions of Malignancy in the Case of Thyroid Nodules?

Matei,

Vlad,

Golu

et al. 2023

Medicina

View full text Add to dashboard Cite

Background and objectives: Thyroid nodules are a common finding in clinical practice and can be either benign or malignant. The aim of this study was to compare laboratory parameters between patients with malignant thyroid nodules and those with benign thyroid nodules. Materials and methods: A total of 845 patients were included, with 251 in the study group (malignant thyroid nodules) and 594 in the control group (benign thyroid nodules). Results: Our results show that there were statistically significant differences in several laboratory parameters, including FT3, FT4, ESR, fibrinogen, WBC, and lymphocyte percentage, between the two patient groups (p < 0.05). Conclusions: These findings suggest that certain laboratory parameters may be useful in differentiating between benign and malignant thyroid nodules and could aid in the diagnosis and treatment of thyroid cancer. However, further diagnostic tests such as fine-needle aspiration biopsy and imaging studies are typically required for an accurate diagnosis. Routine laboratory tests prove most effective when combined with other diagnostic methods to identify thyroid cancer. Although not conclusive on their own, these tests significantly suggest and guide physicians to suspect malignancy in thyroid nodules. This affirmative answer to our question, “Can routine laboratory tests be suggestive in determining suspicions of malignancy in the case of thyroid nodules?” aligns with the results of our study.

show abstract

Revised Thyroid Imaging Reporting and Data System (TIRADS): imitating the American College of Radiology TIRADS, a single-center retrospective study

Cited by 3 publications

References 24 publications

A nomogram for risk stratification of central cervical lymph node metastasis in patients with papillary thyroid carcinoma

A nomogram for risk stratification of central cervical lymph node metastasis in patients with papillary thyroid carcinoma

Predicting recurrent laryngeal nerve invasion by preoperative ultrasonography in patients with thyroid carcinoma

Can Routine Laboratory Tests Be Suggestive in Determining Suspicions of Malignancy in the Case of Thyroid Nodules?

Contact Info

Product

Resources

About