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Application of Dynamic 18F-FDG PET/CT for Distinguishing Intrapulmonary Metastases from Synchronous Multiple Primary Lung Cancer.
Lv, Weize; Yang, Min; Zhong, Hongcheng; Wang, Xiaojin; Yang, Shuai; Bi, Lei; Xian, Jianzhong; Pei, Xiaofeng; He, Xinghua; Wang, Ying; Lin, Zhong; Cao, Qingdong; Jin, Hongjun; Shan, Hong.
Afiliação
  • Lv W; Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province 519000, China.
  • Yang M; Department of Medical Oncology, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province 519000, China.
  • Zhong H; Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province 519000, China.
  • Wang X; Department of Cardiothoracic Surgery, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province 519000, China.
  • Yang S; Department of Cardiothoracic Surgery, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province 519000, China.
  • Bi L; Department of Medical Oncology, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province 519000, China.
  • Xian J; Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province 519000, China.
  • Pei X; Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province 519000, China.
  • He X; Department of Ultrasound, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province 519000, China.
  • Wang Y; Department of Medical Oncology, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province 519000, China.
  • Lin Z; Nuclear Medicine Department, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province 519000, China.
  • Cao Q; Nuclear Medicine Department, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province 519000, China.
  • Jin H; Department of Medical Oncology, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province 519000, China.
  • Shan H; Department of Cardiothoracic Surgery, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province 519000, China.
Mol Imaging ; 2022: 8081299, 2022.
Article em En | MEDLINE | ID: mdl-35903246
It has been a big challenge to distinguish synchronous multiple primary lung cancer (sMPLC) from primary lung cancer with intrapulmonary metastases (IPM). We aimed to assess the clinical application of dynamic 18F-FDG PET/CT in patients with multiple lung cancer nodules. We enrolled patients with multiple pulmonary nodules who had undergone dynamic 18F-FDG PET/CT and divided them into sMPLC and IPM groups based on comprehensive features. The SUVmax, fitted K i value based on dynamic scanning, and corresponding maximum diameter (D max) from the two largest tumors were determined in each patient. We determined the absolute between-tumor difference of SUVmax/D max and K i /D max (ΔSUVmax/D max; ΔK i /D max) and assessed the between-group differences. Further, the diagnostic accuracy was evaluated by ROC analysis and the correlation between ΔSUVmax/D max and ΔK i /Dmax from all groups was determined. There was no significant difference for ΔSUVmax/D max between the IPM and sMPLC groups, while the IPM group had a significantly higher ΔK i /Dmax than the sMPLC group. The AUC of ΔK i /D max for differentiating sMPLC from IPM was 0.80 (cut-off value of K i = 0.0059, sensitivity 79%, specificity 75%, p < 0.001). There was a good correlation (Pearson r = 0.91, 95% CI: 0.79-0.96, p < 0.0001) between ΔSUVmax/D max and ΔK i /D max in the IPM group but not in the sMPLC group (Pearson r = 0.45, p > 0.05). Dynamic 18F-FDG PET/CT could be a useful tool for distinguishing sMPLC from IPM. K i calculation based on Patlak graphic analysis could be more sensitive than SUVmax in discriminating IPM from sMPLC in patients with multiple lung cancer nodules.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Pulmonares / Neoplasias Primárias Múltiplas Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Pulmonares / Neoplasias Primárias Múltiplas Idioma: En Ano de publicação: 2022 Tipo de documento: Article