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Predicting tall-cell subtype of papillary thyroid carcinomas independently with preoperative multimodal ultrasound.
Ye, Bei-Bei; Liu, Yun-Yun; Zhang, Ying; Liu, Bo-Ji; Guo, Le-Hang; Wei, Qing; Zhang, Yi-Feng; Xu, Hui-Xiong.
Afiliación
  • Ye BB; Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.
  • Liu YY; Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai 200072, China.
  • Zhang Y; Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.
  • Liu BJ; Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai 200072, China.
  • Guo LH; Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.
  • Wei Q; Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai 200072, China.
  • Zhang YF; Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.
  • Xu HX; Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai 200072, China.
Br J Radiol ; 97(1159): 1311-1319, 2024 Jun 18.
Article en En | MEDLINE | ID: mdl-38775639
ABSTRACT

OBJECTIVES:

This study aimed to explore the differences between tall-cell subtype of papillary thyroid carcinoma (TCPTC) and classical papillary thyroid carcinoma (cPTC) using multimodal ultrasound, and identify independent risk factors for TCPTC to compensate the deficiency of preoperative cytological and molecular diagnosis on PTC subtypes.

METHODS:

Forty-six TCPTC patients and 92 cPTC patients were included. Each patient received grey-scale ultrasound, colour Dopplor flow imaging (CDFI) and shear-wave elastography (SWE) preoperatively. Clinicopathologic information, grey-scale ultrasound features, CDFI features and SWE features of 98 lesions were compared using univariate analysis to find out predictors of TCPTC, based on which, a predictive model was built to differentiate TCPTC from cPTC and validated with 40 patients.

RESULTS:

Univariate and multivariate analyses identified that extra-thyroidal extension (odds ratio [OR], 15.12; 95% CI, 2.26-115.44), aspect ratio (≥0.91) (OR, 29.34; 95% CI, 1.29-26.23), and maximum diameter ≥14.6 mm (OR, 20.79; 95% CI, 3.87-111.47) were the independent risk factors for TCPTC. Logistic regression equation P = 1/1+ExpΣ[-5.099 + 3.004 × (if size ≥14.6 mm) + 2.957 × (if aspect ratio ≥ 0.91) + 2.819 × (if extra-thyroidal extension). The prediction model had a good discrimination performance for TCPTC the area under the receiver-operator-characteristic curve, sensitivity, and specificity were 0.928, 0.848, and 0.954 in cohort 1, and the corresponding values in cohort 2 were 0.943, 0.923, and 0.926, respectively.

CONCLUSION:

Ultrasound has the potential for differential diagnosis of TCPTC from cPTC. A prediction model based on ultrasound characteristics (extra-thyroidal extension, aspect ratio ≥0.91, and maximum diameter ≥14.6 mm) was useful in predicting TCPTC. ADVANCES IN KNOWLEDGE Multimodal ultrasound prediction of TCPTC was a supplement to preoperative cytological diagnosis and molecular diagnosis of PTC subtypes.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Tiroides / Imagen Multimodal / Cáncer Papilar Tiroideo Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Br J Radiol Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Tiroides / Imagen Multimodal / Cáncer Papilar Tiroideo Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Br J Radiol Año: 2024 Tipo del documento: Article País de afiliación: China