Tumor lesion detection in patients with cervical cancer by indocyanine green near-infrared imaging.

Purpose: To investigate the feasibility and accuracy of near-infrared fluorescence (NIRF) imaging for detecting the extent of tumor invasion in cervical cancer using indocyanine green (ICG). Methods: We enrolled 51 patients who were diagnosed with cervical cancer with FIGO stage IB1-IIA2 disease. Pa...

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Publicado en:European Journal of Nuclear Medicine & Molecular Imaging Vol. 50; no. 4; pp. 1252 - 1262
Autores principales: Li, Pengfei, Liu, Jiaqi, He, Kunshan, Gong, Shipeng, Chi, Chongwei, Liu, Pan, Su, Guidong, Li, Weili, Duan, Hui, Liu, Ping, Tian, Jie, Chen, Chunlin
Formato: Journal Article
Publicado: Springer Nature Mar2023
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2023
      vid: 50
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00259-022-06030-1
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        atl: Tumor lesion detection in patients with cervical cancer by indocyanine green near-infrared imaging.
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        au:
          Li, Pengfei
          Liu, Jiaqi
          He, Kunshan
          Gong, Shipeng
          Chi, Chongwei
          Liu, Pan
          Su, Guidong
          Li, Weili
          Duan, Hui
          Liu, Ping
          Tian, Jie
          Chen, Chunlin
        affil: Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, No. 1838, Guangzhou Avenue, 510515, Guangzhou, China
      sug:
      ab: Purpose: To investigate the feasibility and accuracy of near-infrared fluorescence (NIRF) imaging for detecting the extent of tumor invasion in cervical cancer using indocyanine green (ICG). Methods: We enrolled 51 patients who were diagnosed with cervical cancer with FIGO stage IB1-IIA2 disease. Patients were administered indocyanine green (ICG) at a dose of 5 mg/kg 24 h prior to surgery. A customized near-infrared fluorescence (NIRF) imaging system was used to identify the extent of tumor invasion when radical hysterectomy specimens were harvested. The relationship between tumor fluorescence intensity and clinicopathological characteristics was analyzed. Results: Of the 51 enrolled patients, 3 patients did not have residual tumors after cervical conization, and tumor lesions were identified by NIRF imaging in all the remaining 48 patients. The results of NIRF imaging were in agreement with the postoperative pathological findings in 95.8% of the patients with stromal invasion, 100% of those with surgical margin invasion, 100% of those with parametrial tumor involvement, and 100% of patients with uterine corpus invasion. The mean signal-to-background ratio (SBR) of the cervical tumors was 2.91 ± 1.64, and the SBR was independent of clinicopathological characteristics. Fluorescence microscopy confirmed that ICG fluorescence was present in the tumor nests. Conclusions: NIRF imaging enables objective, accurate, and safe identification of tumor invasion during cervical cancer surgery. Clinical trial registration: ClinicalTrials.gov NCT04224467.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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