Xing Liu, Wenjing Yang, Teng Zhao, Qian Wang, Jiacheng Wang, Dalin Feng, Li Zhao, Hong Shen, Rongfang Shen, Ren Lang, Bojun Wei
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引用次数: 0
Abstract
Purpose: This study aimed to analyze the three-dimensional enhanced computed tomography (3D-EnCT) and ultrasound imaging features of recurrent parathyroid carcinoma lesions and develop a prediction model based on these features.
Methods: The clinical data of 34 patients (48 cases) with recurrent parathyroid carcinoma who underwent surgical treatment at Beijing Chaoyang Hospital's Thyroid and Neck Surgery Department between January 2017 and April 2024 were retrospectively analyzed. A total of 103 suspicious lesions were identified through a combination of preoperative 3D-EnCT and ultrasound examinations. Patients admitted prior to 1 January 2023 were included in the training set, and those admitted after 1 January 2023 were included in the validation set. In the training set, lesions were categorized as positive or negative based on pathological analysis. Statistically significant imaging features were identified via intergroup comparisons. An imaging prediction model was developed based on the 3D-EnCT and ultrasound features, and the predictive performance of the model was evaluated via receiver operating characteristic curves in the validation set.
Results: Arterial- and venous-phase CT values, lesion boundaries, and blood flow signals were associated with pathological positivity. The 3D-EnCT prediction model based on these features achieved areas under the curve (AUCs) of 0.9 and 0.714 in the training and validation sets, respectively, whereas the ultrasound prediction model achieved AUCs of 0.601 and 0.621, respectively. The 3D-EnCT model demonstrated superior predictive performance.
Conclusion: The 3D-EnCT prediction model demonstrated superior predictive performance for recurrent parathyroid carcinoma lesions.
期刊介绍：
Clinical and Translational Oncology is an international journal devoted to fostering interaction between experimental and clinical oncology. It covers all aspects of research on cancer, from the more basic discoveries dealing with both cell and molecular biology of tumour cells, to the most advanced clinical assays of conventional and new drugs. In addition, the journal has a strong commitment to facilitating the transfer of knowledge from the basic laboratory to the clinical practice, with the publication of educational series devoted to closing the gap between molecular and clinical oncologists. Molecular biology of tumours, identification of new targets for cancer therapy, and new technologies for research and treatment of cancer are the major themes covered by the educational series. Full research articles on a broad spectrum of subjects, including the molecular and cellular bases of disease, aetiology, pathophysiology, pathology, epidemiology, clinical features, and the diagnosis, prognosis and treatment of cancer, will be considered for publication.
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