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18F-DCFPyL PET/CT in pre-operative diagnosis of regional lymph node metastasis from prostate cancer / 中国医学影像技术
Article in Zh | WPRIM | ID: wpr-860997
Responsible library: WPRO
ABSTRACT
Objective: To explore the value of 18F-DCFPyL PET/CT in pre-operative diagnosis of regional lymph node metastasis in patients with prostate cancer. Methods: Preoperative 18F-DCFPyL PET/CT images and clinical data of 49 patients with prostate cancer who underwent radical prostatectomy and pelvic lymph node dissection simultaneously were retrospectively analyzed. The total number of dissected lymph nodes and metastatic lymph nodes were counted, and the diagnostic efficacy of 18F-DCFPyL PET/CT for regional metastatic lymph nodes was calculated. The differences of the long diameter, middle diameter and short diameter of metastatic lymph nodes and non-metastatic lymph nodes were compared after resection. Results: A total of 511 lymph nodes were dissected in 49 patients. Fourteen lymph node metastases were found in 10 patients, 9 of which were correctly diagnosed by 18F-DCFPyL PET/CT. The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of 18F-DCFPyL PET/CT in diagnosis of lymph node metastasis of prostate cancer was 90.00%, 100%, 97.96%,100% and 97.50%, respectively. The mean long diameter, medium diameter and short diameter of metastatic lymph nodes and non-metastatic lymph nodes were (1.64±0.33)cm and (1.12±0.79)cm, (1.05±0.23)cm and (0.59±0.51)cm, (0.61±0.14)cm and (0.36±0.24)cm after resection (all P>0.05). Conclusion: Regional lymph node metastasis of prostate cancer is independent of its size. 18F-DCFPyL PET/CT has high diagnostic value for pre-operative diagnosis of regional lymph node metastasis in patients with prostate cancer.
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Full text: 1 Index: WPRIM Type of study: Diagnostic_studies Language: Zh Journal: Chinese Journal of Medical Imaging Technology Year: 2020 Type: Article
Full text: 1 Index: WPRIM Type of study: Diagnostic_studies Language: Zh Journal: Chinese Journal of Medical Imaging Technology Year: 2020 Type: Article