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The study of plain CT combined with contrast-enhanced CT-based models in predicting malignancy of solitary solid pulmonary nodules.
Zhang, Wenjia; Cui, Xiaonan; Wang, Jing; Cui, Sha; Yang, Jianghua; Meng, Junjie; Zhu, Weijie; Li, Zhiqi; Niu, Jinliang.
Afiliação
  • Zhang W; Department of Medical Imaging, Shanxi Medical University, NO.56 Xinjian Road, Taiyuan, 030000, Shanxi, The People's Republic of China.
  • Cui X; National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Department of Radiology, Tianjin Medical University Cancer Institute & Hospital, Tianjin, The People's Republic of China.
  • Wang J; Department of Epidemiology and Health Statistics, School of Public Health, Hangzhou Medical College, Hangzhou, The People's Republic of China.
  • Cui S; Department of Radiology, The Second Hospital of Shanxi Medical University, Taiyuan, The People's Republic of China.
  • Yang J; Department of Radiology, The Second Hospital of Shanxi Medical University, Taiyuan, The People's Republic of China.
  • Meng J; Department of Cardiothoracic Surgery, The Second Hospital of Shanxi Medical University, Taiyuan, The People's Republic of China.
  • Zhu W; National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Department of Radiology, Tianjin Medical University Cancer Institute & Hospital, Tianjin, The People's Republic of China.
  • Li Z; National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Department of Radiology, Tianjin Medical University Cancer Institute & Hospital, Tianjin, The People's Republic of China.
  • Niu J; Department of Medical Imaging, Shanxi Medical University, NO.56 Xinjian Road, Taiyuan, 030000, Shanxi, The People's Republic of China. sxlscjy@163.com.
Sci Rep ; 14(1): 21871, 2024 09 19.
Article em En | MEDLINE | ID: mdl-39300206
ABSTRACT
To compare the diagnostic performance between plain CT-based model and plain plus contrast CT-based modelin the classification of malignancy for solitary solid pulmonary nodules. Between January 2012 and July 2021, 527 patients with pathologically confirmed solitary solid pulmonary nodules were collected at dual centers with similar CT examinations and scanning parameters. Before surgery, all patients underwent both plain and contrast-enhanced chest CT scans. Two clinical characteristics, fifteen plain CT characteristics, and four enhanced characteristics were used to develop two logistic regression models model 1 (plain CT only) and model 2 (plain + contrast CT). The diagnostic performance of the two models was assessed separately in the development and external validation cohorts using the AUC. 392 patients from Center A were included in the training cohort (median size, 20.0 [IQR, 15.0-24.0] mm; mean age, 55.8 [SD, 9.9] years; male, 53.3%). 135 patients from Center B were included in the external validation cohort (median size, 20.0 [IQR, 16.0-24.0] mm; mean age, 56.4 [SD, 9.6] years; male, 51.9%). Preoperative patients with 201 malignant (adenocarcinoma, 148 [73.6%]; squamous cell carcinoma, 35 [17.4%]; large cell carcinoma,18 [9.0%]) and 326 benign (pulmonary hamartoma, 118 [36.2%]; sclerosing pneumocytoma, 35 [10.7%]; tuberculosis, 104 [31.9%]; inflammatory pseudonodule, 69 [21.2%]) solitary solid pulmonary nodules were gathered from two independent centers. The mean sensitivity, specificity, accuracy, PPV, NPV, and AUC (95%CI) of model 1 (Plain CT only) were 0.79, 0.78, 0.79, 0.67, 0.87, and 0.88 (95%CI, 0.82-0.93), the model 2 (Plain + Contrast CT) were 0.88, 0.91, 0.90, 0.84, 0.93, 0.93 (95%CI, 0.88-0.98) in external validation cohort, respectively. A logistic regression model based on plain and contrast-enhanced CT characteristics showed exceptional performance in the evaluation of malignancy for solitary solid lung nodules. Utilizing this contrast-enhanced CT model would provide recommendations concerning follow-up or surgical intervention for preoperative patients presenting with solid lung nodules.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Nódulo Pulmonar Solitário / Meios de Contraste / Neoplasias Pulmonares Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Nódulo Pulmonar Solitário / Meios de Contraste / Neoplasias Pulmonares Idioma: En Ano de publicação: 2024 Tipo de documento: Article