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    Home > Active Ingredient News > Antitumor Therapy > European Radiology: In non-small cell lung cancer patients, we found another strong imaging prognostic marker

    European Radiology: In non-small cell lung cancer patients, we found another strong imaging prognostic marker

    • Last Update: 2022-05-21
    • Source: Internet
    • Author: User
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    According to statistics, lung cancer is one of the most common malignant tumors worldwide, accounting for the highest proportion of cancer deaths
    .
    Non-small cell lung cancer (NSCLC) is the most common histologic subtype of lung cancer (70–85% of all cases), and there are two main histologic types: adenocarcinoma (ADC) and squamous cell carcinoma (SCC)

    .
    However,
    even with radical resection, 20% to 52% of stage I-III patients develop local recurrence or distant metastasis
    .

    Even with radical resection, 20% to 52% of stage I-III patients develop local recurrence or distant metastasis
    .

    Current guidelines recommend the use of [ 18 F]FDG PET/CT for initial staging of all NSCLC patients
    .
    The potential use of quantitative variables obtained from [ 18 F]FDG PET/CT scans of patients before treatment has been an important direction of many studies
    .

    Current guidelines recommend the use of [ 18 18 F]FDG PET/CT for initial staging of all NSCLC patients
    .
    The potential use of quantitative variables obtained from [ 18 18 F]FDG PET/CT scans of patients before treatment has been an important direction of many studies
    .

    Classical PET variables, such as standardized uptake value (SUV)-based and volume-based variables, such as metabolic tumor volume (MTV) and lesion total glycolysis (TLG), have been identified as important prognostic factors in multiple studies , but The results are not consistent .
    Recently, new methods based on measuring tumor geometry have emerged in the literature to find new prognostic indicators .


    Classical PET variables, such as standardized uptake value (SUV)-based and volume-based variables, such as metabolic tumor volume (MTV) and lesion total glycolysis (TLG), have been identified as important prognostic factors in multiple studies , but The results are not consistent .
    Recently, new methods based on measuring tumor geometry have emerged in the literature to find new prognostic indicators .


    Recently, a study published in the journal European Radiology explored two new geometric variables, the normalized SUVpeak-to-centre distance (nSCD) and the normalized SUVmax obtained from pre-treatment [ 18 F]FDG PET/CT Prognostic value of distance to periphery (nSPD) and its correlation with classical metabolic parameters in NSCLC patients undergoing surgery .
     

    Recently, a study published in the journal European Radiology explored two new geometric variables, the normalized SUVpeak -to-centre distance ( nSCD ) and normalized The prognostic value of SUVmax-to-periphery distance (nSPD) and its correlation with classical metabolic parameters in NSCLC patients undergoing surgery .
     

    This retrospective study enrolled patients with stage I-III NSCLC with baseline [ 18 F]FDG PET/CT and obtained clinical, histopathological, and metabolic parameters for each patient .
    Tumors were segmented and SUV and volume-based variables, texture, sphericity, and two new parameters were obtained, normalized SUVpeak to center point distance (nSCD) and normalized SUVmax to peripheral distance (nSPD) .
    Early recurrence (ER) and short-term mortality (STM) served as study endpoints .
    Univariate logistic regression and multivariate logistic regression were performed on ER and STM .
     




    This retrospective study enrolled patients with stage I-III NSCLC with baseline [ 18 18 F]FDG PET/CT and obtained clinical, histopathological, and metabolic parameters for each patient .
    Tumors were segmented and SUV and volume-based variables, texture, sphericity, and two new parameters were obtained, the normalized SUVpeak to center point distance (nSCD) and the normalized SUVmax to peripheral distance (nSPD) .
    Early recurrence (ER) and short-term mortality (STM) served as study endpoints .
    Univariate logistic regression and multivariate logistic regression were performed on ER and STM .
     




    A total of 173 patients were included in this study .
    ER was detected in 49/104 relapsed patients .
    In addition, 100 patients died and 53 had STM .
    Age, pathological lymphatic invasion, lymph node invasion, TNM stage, nSCD and nSPD were associated with ER, but in multivariate analysis only age (aOR = 1.
    06, p = 0.
    002), pathological lymphatic invasion (aOR = 3.
    40, p = 0.
    022) ) and nSPD (aOR = 0.
    02, p = 0.
    018) were significant independent predictors of ER
    .
    Age, lymph node invasion, TNM stage, nSCD and nSPD were predictors of STM .
    In multivariate analysis, age (aOR = 1.
    05, p = 0.
    006), lymph node invasion (aOR = 2.
    72, p = 0.
    005) and nSPD (aOR = 0.
    03, p = 0.
    022) were significantly associated with STM
    .
    The coefficient of variation (COV) and SUVmean/SUVmax ratio did not show significant predictive value for ER or STM .







    A total of 173 patients were included in this study .
    ER was detected in 49/104 relapsed patients .
    In addition, 100 patients died and 53 had STM .
    Age, pathological lymphatic invasion, lymph node invasion, TNM stage, nSCD and nSPD were associated with ER, but in multivariate analysis only age (aOR = 1.
    06, p = 0.
    002), pathological lymphatic invasion (aOR = 3.
    40, p = 0.
    022) ) and nSPD (aOR = 0.
    02, p = 0.
    018) were significant independent predictors of ER
    .
    Age, lymph node invasion, TNM stage, nSCD and nSPD were predictors of STM .
    In multivariate analysis, age (aOR = 1.
    05, p = 0.
    006), lymph node invasion (aOR = 2.
    72, p = 0.
    005) and nSPD (aOR = 0.
    03, p = 0.
    022) were significantly associated with STM
    .
    The coefficient of variation (COV) and SUVmean/SUVmax ratio did not show significant predictive value for ER or STM .








     
    Relationship between nSCD and nSPD and early recurrence (a, b) and short-term survival (c, d) 


     
    The relationship between nSCD and nSPD and early relapse (a, b) and short-term survival (c, d) The relationship between 
    nSCD and nSPD and early relapse (a, b) and short-term survival (c, d)
     

     

    The results of this study demonstrate that nSCD and nSPD can be used as predictors of poor prognosis in NSCLC patients, outperforming classical PET-derived variables
    .
    Both parameters identified patients with high risk of ER and STM

    .
    This study suggests that incorporating these new variables together with clinical and pathological factors will help the clinic to establish risk-adapted treatment strategies

    .

    The results of this study demonstrate that nSCD and nSPD can be used as predictors of poor prognosis in NSCLC patients, outperforming classical PET-derived variables
    .
    Both parameters identified patients with high risk of ER and STM

    .
    This study suggests that incorporating these new variables together with clinical and pathological factors will help the clinic to establish risk-adapted treatment strategies

    .

    Original source:

    Original source:

    Germán Andrés Jiménez Londoño, Ana Maria García Vicente, Jesús J Bosque, et al.
    SUVmax to tumor perimeter distance: a robust radiomics prognostic biomarker in resectable non-small cell lung cancer patients.
    DOI: 10.
    1007/s00330-021-08523-3

    Germán Andrés Jiménez Londoño, Ana Maria García Vicente, Jesús J Bosque, et al.
    SUVmax to tumor perimeter distance: a robust radiomics prognostic biomarker in resectable non-small cell lung cancer patients.
    DOI: 10.
    1007/s00330-021-08523-3
    SUVmax to tumor perimeter distance: a robust radiomics prognostic biomarker in resectable non-small cell lung cancer patients.
    10.
    1007/s00330-021-08523-3


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