Abstract:Purpose: Recent advances in image diagnostic technology have enhanced the discovery of peripheral small size lung cancers. Here, we examined the utility of 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) for the evaluation of grade of tumor malignant potency. Methods: Seventy-nine patients with peripheral small lung cancers (≤2 cm) who underwent surgical resections and preoperative FDG-PET were enrolled. The correlations between the maximum standardized uptake value (SUV max ) and various clinico… Show more
“…The present study demonstrated that the prognoses of patients with cN1 NSCLC were associated with age, the CEA value, and the primary tumor’s SUVmax value. The primary tumor’s SUVmax value was also an independent prognostic factor for both OS and RFS, which is consistent with previous reports regarding the associations between FDG uptake and tumor malignancy [ 13 – 16 ]. Clinical and experimental studies have indicated that FDG accumulation during PET examination was correlated with tumor growth rate, cell density, and cell differentiation [ 17 – 19 ].…”
Background
Given the difficulty in preoperatively diagnosing lymph node metastasis, patients with Stage I–III non-small cell lung cancer (NSCLC) are likely to be included in the clinical N1 (cN1) group. However, better treatment options might be selected through further stratification. This study aimed to identify preoperative clinicopathological prognostic and stratification factors for patients with cN1 NSCLC.
Methods
This retrospective study evaluated 60 patients who were diagnosed with NSCLC during 2004–2014. Clinical nodal status had been evaluated using routine chest computed tomography (CT) and/or positron emission tomography (PET). To avoid biasing the fluorodeoxyglucose uptake values based on inter-institution or inter-model differences, we used only two PET systems (one PET system and one PET/CT system). Relapse-free survival (RFS) and overall survival (OS) were the primary study outcomes. The maximum standardized uptake value (SUVmax) was calculated for each tumor and categorized as low or high based on the median value. Patient sex, age, histology, tumor size, and tumor markers were also assessed.
Results
Poor OS was associated with older age (
P
= 0.0159) and high SUVmax values (
P
= 0.0142). Poor RFS was associated with positive carcinoembryonic antigen (CEA) expression (
P
= 0.0035) and high SUVmax values (
P
= 0.015). Multivariate analyses confirmed that poor OS was independently predicted by older age (hazard ratio [HR] = 2.751, confidence interval [CI]: 1.300–5.822;
P
= 0.0081) and high SUVmax values (HR = 5.121, 95% CI: 1.759–14.910;
P
= 0.0027). Furthermore, poor RFS was independently predicted by positive CEA expression (HR = 2.376, 95% CI: 1.056–5.348;
P
= 0.0366) and high SUVmax values (HR = 2.789, 95% CI: 1.042–7.458;
P
= 0.0410). The primary tumor’s SUVmax value was also an independent prognostic factor for both OS and RFS.
Conclusions
For patients with cN1 NSCLC, preoperative prognosis and stratification might be performed based on CEA expression, age, and the primary tumor’s SUVmax value. To enhance the prognostic value of the primary tumor’s SUVmax value, minimizing bias between facilities and models could lead to a more accurate prognostication.
“…The present study demonstrated that the prognoses of patients with cN1 NSCLC were associated with age, the CEA value, and the primary tumor’s SUVmax value. The primary tumor’s SUVmax value was also an independent prognostic factor for both OS and RFS, which is consistent with previous reports regarding the associations between FDG uptake and tumor malignancy [ 13 – 16 ]. Clinical and experimental studies have indicated that FDG accumulation during PET examination was correlated with tumor growth rate, cell density, and cell differentiation [ 17 – 19 ].…”
Background
Given the difficulty in preoperatively diagnosing lymph node metastasis, patients with Stage I–III non-small cell lung cancer (NSCLC) are likely to be included in the clinical N1 (cN1) group. However, better treatment options might be selected through further stratification. This study aimed to identify preoperative clinicopathological prognostic and stratification factors for patients with cN1 NSCLC.
Methods
This retrospective study evaluated 60 patients who were diagnosed with NSCLC during 2004–2014. Clinical nodal status had been evaluated using routine chest computed tomography (CT) and/or positron emission tomography (PET). To avoid biasing the fluorodeoxyglucose uptake values based on inter-institution or inter-model differences, we used only two PET systems (one PET system and one PET/CT system). Relapse-free survival (RFS) and overall survival (OS) were the primary study outcomes. The maximum standardized uptake value (SUVmax) was calculated for each tumor and categorized as low or high based on the median value. Patient sex, age, histology, tumor size, and tumor markers were also assessed.
Results
Poor OS was associated with older age (
P
= 0.0159) and high SUVmax values (
P
= 0.0142). Poor RFS was associated with positive carcinoembryonic antigen (CEA) expression (
P
= 0.0035) and high SUVmax values (
P
= 0.015). Multivariate analyses confirmed that poor OS was independently predicted by older age (hazard ratio [HR] = 2.751, confidence interval [CI]: 1.300–5.822;
P
= 0.0081) and high SUVmax values (HR = 5.121, 95% CI: 1.759–14.910;
P
= 0.0027). Furthermore, poor RFS was independently predicted by positive CEA expression (HR = 2.376, 95% CI: 1.056–5.348;
P
= 0.0366) and high SUVmax values (HR = 2.789, 95% CI: 1.042–7.458;
P
= 0.0410). The primary tumor’s SUVmax value was also an independent prognostic factor for both OS and RFS.
Conclusions
For patients with cN1 NSCLC, preoperative prognosis and stratification might be performed based on CEA expression, age, and the primary tumor’s SUVmax value. To enhance the prognostic value of the primary tumor’s SUVmax value, minimizing bias between facilities and models could lead to a more accurate prognostication.
“…SUVmax value was also an independent prognostic factor for both OS and RFS, which is consistent with previous reports on the associations between FDG uptake and tumor malignancy [13][14][15][16]. Clinical and experimental studies have indicated that FDG accumulation during PET examination was correlated with tumor growth rate, cell density, and cell differentiation.…”
Background
Given the difficulty of preoperative diagnosis of lymph node metastasis, patients with Stage I–III non-small cell lung cancer (NSCLC) are likely to be included in the clinical N1 (cN1) group. However, better treatment options may be selected through further stratification. This study aimed to identify preoperative clinicopathological prognostic and stratification factors for patients with cN1 NSCLC.
Methods
This retrospective evaluated 60 patients diagnosed with NSCLC from 2004 to 2014. Clinical nodal status had been evaluated using routine chest computed tomography (CT) and/or positron emission tomography (PET). To avoid the bias of the fluorodeoxyglucose uptake values based on inter-institution or inter-model differences, we historically used only two different models for PET instruments (one PET and one PET/CT). Relapse-free survival (RFS) and overall survival (OS) were the primary study outcomes. The maximum standardized uptake value (SUVmax) was calculated for the tumors and categorized as low or high based on the median value. Patient sex, age, histology, tumor size, and tumor markers were also assessed.
Results
Poor OS was associated with older age (P = 0.0159) and high SUVmax values (P = 0.0142). Poor RFS was associated with positive carcinoembryonic antigen (CEA) expression (P = 0.0035) and high SUVmax values (P = 0.015). Multivariate analyses confirmed that poor OS was independently predicted by older age (hazard ratio [HR] = 2.751, confidence interval [CI]: 1.300-5.822; P = 0.0081) and high SUVmax values (HR = 5.121, 95% CI: 1.759–14.910; P = 0.0027). Furthermore, poor RFS was independently predicted by positive CEA expression (HR = 2.376, 95% CI: 1.056–5.348; P = 0.0366) and high SUVmax values (HR = 2.789, 95% CI: 1.042–7.458; P = 0.0410). The primary tumor’s SUVmax value was also an independent prognostic factor for both OS and RFS.
Conclusions
For patients with cN1 NSCLC, preoperative prognosis and stratification might be performed based on the CEA expression, age, and the primary tumor’s SUVmax. In particular, regarding SUVmax, minimizing the bias between facilities and models could lead to a more accurate prognosis.
“…Many studies have indicated that FDG-PET/CT is useful for determining the c-stage and therapeutic strategy for small-size lung cancer. [4][5][6][7][8] However, a recent study in the Netherlands reported that the accuracy of the c-stage for non-small-cell lung cancer (NSCLC) was low, even in the era of FDG-PET/CT. 9,10 Few studies have investigated whether the PET/CT findings can salvage the discordance between the clinical and pathologic TNM staging.…”
The concordance rate between c-stage and p-stage for small primary lung cancers had moderate reproducibility. Discordance between c-stage I and p-stage II-IV significantly affected DFS. The maximum standardized uptake value of the primary lesion was an independent prognostic factor, and combining it with c-stage might improve the prediction of therapeutic outcomes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.