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Evaluating the value of 18F-PSMA-1007 PET/CT in the detection and identification of prostate cancer using histopathology as the standard.
Luo, Liang; Zheng, Anqi; Chang, Ruxi; Li, Yunxuan; Gao, Jungang; Wang, Zhuonan; Duan, Xiaoyi.
Afiliação
  • Luo L; PET/CT Center, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Shaanxi Province, Xi'an, 710061, China.
  • Zheng A; PET/CT Center, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Shaanxi Province, Xi'an, 710061, China.
  • Chang R; PET/CT Center, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Shaanxi Province, Xi'an, 710061, China.
  • Li Y; PET/CT Center, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Shaanxi Province, Xi'an, 710061, China.
  • Gao J; PET/CT Center, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Shaanxi Province, Xi'an, 710061, China.
  • Wang Z; PET/CT Center, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Shaanxi Province, Xi'an, 710061, China. wangzhuonan@xjtu.edu.cn.
  • Duan X; PET/CT Center, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Shaanxi Province, Xi'an, 710061, China. duanxyi@yeah.net.
Cancer Imaging ; 23(1): 108, 2023 Nov 03.
Article em En | MEDLINE | ID: mdl-37924154
BACKGROUND: Prostate-specific membrane antigen (PSMA) PET/CT is a highly regarded radionuclide imaging modality for prostate cancer (PCa). This study aimed to evaluate the diagnostic performance of 18F-PSMA-1007 PET/CT in detecting intraprostatic lesions of PCa using radical prostatectomy (RP) specimens as a reference standard and to establish an optimal maximum standardized uptake value (SUVmax) cutoff for distinguishing between PCa and non-PCa lesions. METHODS: We retrospectively collected 117 patients who underwent 18F-PSMA-1007 PET/CT before RP. The uptake of the index tumor and contralateral non-PCa lesion was assessed. Histopathology of RP specimens was used as the gold standard. Kappa test was used to evaluate the consistency of preoperative PSMA PET/CT staging and postoperative pathological staging. Finally, an SUVmax cutoff value was identified by receiver operating characteristic (ROC) curve analysis to distinguish PCa lesions from non-PCa lesions. A prospective cohort including 76 patients was used to validate the results. RESULTS: The detection rate of 18F-PSMA-1007 PET/CT for prostate cancer was 96.6% (113/117). 18F-PSMA-1007 had a sensitivity of 91.2% and a positive predictive value (PPV) of 89.8% for the identification of intraprostatic lesions. The consistency test (Kappa = 0.305) indicated poor agreement between the pathologic T-stage and PSMA PET/CT T-stage. Based on ROC curve analysis, the appropriate SUVmax to diagnose PCa lesions was 8.3 (sensitivity of 71.3% and specificity 96.8%) with an area under the curve (AUC) of 0.93 (P < 0.001). This SUVmax cutoff discriminated PCa lesions from non-PCa lesions with a sensitivity of 74.4%, a specificity of 95.8% in the prospective validation group. CONCLUSIONS: 18F-PSMA-1007 PET/CT demonstrated excellent performance in detecting PCa. An optimal SUVmax threshold (8.3) could be utilized to identify lesions of PCa by 18F-PSMA-1007 PET/CT. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04521894, Registered: August 17, 2020.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Tomografia por Emissão de Pósitrons combinada à Tomografia Computadorizada Limite: Humans / Male Idioma: En Revista: Cancer Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM / NEOPLASIAS Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Tomografia por Emissão de Pósitrons combinada à Tomografia Computadorizada Limite: Humans / Male Idioma: En Revista: Cancer Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM / NEOPLASIAS Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido