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  • 2022년 03월호
    [Nucl Med Commun.] Clinical and metabolic parameters for predicting disease progression of gallbladder adenocarcinoma

    전북대 / 한연희, 임석태*

  • 출처
    Nucl Med Commun.
  • 등재일
    2022 Jan 1
  • 저널이슈번호
    43(1):42-48. doi: 10.1097/MNM.0000000000001494.
  • 내용

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    Abstract
    Objective: This study aimed to identify reliable predictors of disease progression in patients with gallbladder (GB) adenocarcinoma.

    Patients and methods: A total of 54 patients with GB adenocarcinoma underwent preoperative F-18 fluorodeoxyglucose (FDG) PET/CT. Age, sex, clinical stage, and pathologic differentiation were collected. Tumor size and PET parameters such as SUVmax, SUVmean, SUVpeak, metabolic tumor volume (MTV), and total lesion glycolysis were measured. Univariate and multivariate logistic regression analyses were performed to determine the utility of clinical values and PET parameters. Pearson bivariate correlation was used to evaluate the association between progression-free survival (PFS) and various parameters.

    Results: No recurrence was found in 15 of 54 patients, while six showed recurrence and another 33 manifested disease progression. There were significant differences in size, stage, pathologic differentiation, and PET parameters between the groups with and without recurrence/progression. However, there was no difference in those parameters between the groups with recurrence and progression. The average PFS of the groups with no recurrence, recurrence, and progression groups was 33.1, 17.1, and 5.0 months, respectively. In univariate analysis, age, sex, clinical stage, pathologic differentiation, size, and PET parameters were correlated with PFS. In multivariate analysis, only clinical stage and MTV were statistically significant and MTV showed the highest odds ratio. Pearson correlation coefficients showed moderate negative correlations between PFS and clinical stage or MTV.

    Conclusion: In GB adenocarcinoma, clinical stage and MTV are the most powerful parameters for predicting recurrence and disease progression. Based on clinical stage, MTV will represent a strong prognostic predictor.

     

     

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    Affiliation

    Yeon-Hee Han  1 , Hwan-Jeong Jeong, Seok Tae Lim
    1 Department of Nuclear Medicine, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Cyclotron Research Center, Molecular Imaging and Therapeutic Medicine Research Center, Jeonbuk National University Medical School and Hospital, Jeonju, Jeonbuk, Republic of Korea.

  • 연구소개
    이 논문은 담낭 샘암종 환자에서 질병 진행을 예측할 수 있는 인자에 대한 연구입니다. 나이, 성별, 임상적 병기, 종양의 크기 및 분화도 뿐만 아니라 다양한 FDG PET/CT parameter를 함께 포함하여 분석했다는 점이 이 연구의 특이점이라고 할 수 있습니다. 이 연구에서는 흔히 알려져 있는 환자의 임상적 병기뿐만 아니라 MTV (metabolic tumor volume)이라는 FDG PET/CT parameter가 예후 예측에 유용하게 쓰일 수 있음을 제시하였습니다.
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