Correlation between 18-FDG standardized uptake value and tumor grade in patients with resectable non-small cell lung cancer
Highlight box
Key findings
• A significant correlation between the primary tumor’s standardized uptake value (SUV) and its grade was identified in resectable lung cancer patients, consistent across genders, ages, histological types, and T factors T1–T3.
What is known and what is new?
• Correlation of the fluorodeoxyglucose uptake and histologic grade of the tumor has been shown in several studies. However, little is known about the impact of different clinical variables on this correlation.
• We provide original data on the impact of important clinical factors, i.e., histological type, age, sex, lobar location of the primary tumor and T factor on the SUV-grade correlation. Such data have not been published to date.
What is the implication, and what should change now?
• Our results enable better interpretation of the results of positron-emission tomography in different clinical scenarios. They may be used to improve clinical decision-making.
• Knowledge that tumor grade impacts the SUV value for both sexes, age groups, most common histological types and T factors T1–T3 is of practical importance for oncologists, pulmonologists and thoracic surgeons.
Introduction
Background
Lung cancer causes the highest number of cancer-related deaths worldwide (1). Positron-emission tomography (PET) is widely used for lung cancer staging (2), and 18F-fluoro-2-deoxyglucose (18-FDG) is the most commonly used radiopharmaceutical agent for those patients. The standardized uptake value (SUV) was defined as the ratio of image-derived radioactivity concentration to the whole-body concentration of injected radioactivity (3). If 18-FDG is used, the SUV is related to glucose metabolism in the tissue. Notably, several studies have considered the correlation between the SUV of the primary tumor and some metabolic and/or clinical factors (i.e., proliferative potential, microscopic tumor extensions, nodal status and survival), but only a few of them have raised the matter of the histological grade of the tumor (4-22). Among them, only nine papers analyzed the correlation between the SUV and grade (4-12). From a practical point of view, it is important to determine whether SUVs are equally reliable for high- and low-grade malignancies. Although the SUV is influenced by several factors, such as the time between FDG injection and imaging, patient height and weight, partial volume effect, and scanner type, these factors are included in the institutional calculation procedures, and are therefore, unlikely to affect the conclusions of PET imaging.
We hypothesized high-grade tumors would be more metabolically active, resulting in higher SUV.
Rationale and knowledge gap
Detailed knowledge of the impact of clinical characteristics on the interpretation of PET results is important for clinicians. To date, there is a lack of data in this regard.
Objective
Our study aimed to evaluate, whether significant correlation existed between SUV and grade in a large cohort of patients with resectable non-small cell lung cancer. Furthermore, we investigated whether this is true for lung cancer’s most common histological types and other clinical factors, such as age, sex, tumor location, and T factor. We present this article in accordance with the MDAR reporting checklist (available at https://tcr.amegroups.com/article/view/10.21037/tcr-23-798/rc).
Methods
Patients
The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). Ethics Committee of the Medical Chamber in Cracow has waived the ethical approval because of the retrospective character of the study. Written informed consent has been waived for the retrospective analysis of the historical hospital records. The clinical question was, whether the SUV of the primary tumor is correlated with histological grade in patients with resectable non-small cell lung cancer? Also, if this correlation differs depending on age, sex, histological type, tumor location and T factors? This retrospective cohort study was conducted in the Department of Thoracic Surgery, John Paul II Hospital, Cracow, Poland. Data of all patients who underwent surgery for primary lung cancer between December 2010 and March 2015 were extracted from a hospital database. The inclusion criteria were as follows: age 18–90 years, clinical stages I–IVA (for stage IV, only oligometastatic cancers were included), and curative-intent anatomical lung resection, while the exclusion criteria were as follows: tumors for which the grade is not routinely determined, such as mucoepidermoid carcinoma, adenoid cystic carcinoma and carcinoids.
Intervention
PET imaging was performed using a Discovery 690 scanner (General Electric HealthCare, Chicago, Illinois, USA). The standard protocol included CT attenuation correction imaging and lung window reconstruction with the following parameters: 80–210 mA (depending on patient size), 3.75 mm section thickness, and 0.8-second gantry rotation speed.
Whole-body PET with 2.5 mm section thickness was performed using non-attenuation corrected (NAC), measured attenuation corrected (MAC) images, and the Q.Clear algorithm. The time between FDG injection and data acquisition was 45–60 min. Standard reconstructions included: Q.Clear, SharpIR, Q.AC, and VUE Point HD. The maximum SUV was calculated using the Pet Odyssey software, based on the patient’s weight and the administered dose of the isotope.
Each study was independently assessed by two diagnosticians, a radiologist and a nuclear medicine specialist. The tumor grade was determined by an experienced pathologist devoted to lung pathology. Standard light microscopy images with hematoxylin and eosin staining were used.
Statistical analysis
Statistical software (version 13.0; StatSoft, Tulsa, Oklahoma, USA) was used for statistical analysis. Because of the failure of the assumptions (normality), Spearman’s rank correlation coefficient was used to assess the correlations of the analyzed variables. The significance of the differences between groups was verified using the Kruskal-Wallis test. Post hoc tests were used for comparisons between subgroups. Statistical significance was set at the P value<0.05.
Results
Patients’ characteristics
A total of 726 patients were included in the study, 507 of whom were male. The demographic and clinical characteristics of the study participants are shown in Table 1.
Table 1
Characteristic | Number |
---|---|
Age, years, mean [range] | 65 [41–87] |
Sex (M/F) | 507/219 |
Histological type, n (%) | |
Squamous-cell cancer | 385 (53.0) |
Adenocarcinoma | 235 (32.4) |
Large-cell cancer | 20 (2.8) |
Adeno-squamous cancer | 61 (8.4) |
Small-cell carcinoma | 4 (0.6) |
Carcinoid | 1 (0.1) |
Others | 20 (2.8) |
Grade, n (%) | |
1 | 47 (6.5) |
2 | 428 (59.0) |
3 | 216 (29.8) |
4 | 35 (4.8) |
Lobar location, n (%) | |
RUL | 201 (27.7) |
RML | 21 (2.9) |
RLL | 110 (15.2) |
RC | 59 (8.1) |
LUL | 191 (26.3) |
LLL | 112 (15.4) |
LC | 32 (4.4) |
Stage, n (%) | |
IA | 177 (24.4) |
IB | 157 (21.6) |
IIA | 129 (17.8) |
IIB | 105 (14.5) |
IIA | 127 (17.5) |
IIIB | 21 (2.9) |
IV | 10 (1.4) |
T factor, n (%) | |
T1a | 72 (9.9) |
T1b | 143 (19.7) |
T1c | 22 (3.0) |
T2a | 255 (35.1) |
T2b | 103 (14.2) |
T3 | 103 (14.2) |
T4 | 28 (3.9) |
M, male; F, female; RUL, right upper lobe; RML, right middle lobe; RLL, right lower lobe; RC, right central; LUL, left upper lobe; LLL, left lower lobe; LC, left central.
Correlation between SUV and grade
In the Spearman test there was a strong correlation between the SUV and primary tumor grade in the entire cohort of 726 patients (correlation coefficient 0.209; P<0.001) (Figure 1A).
Subgroup analysis
This correlation was significant in both: men (P<0.001) and women (P<0.001) (Figure 1B). Separate calculations were performed to determine whether this correlation was dependent on patients’ age. Significant correlations were found in all analyzed age groups: for individuals younger than 50 years, between 50 and 70 years, and older than 70 years (P=0.02, P<0.001 and P=0.03, respectively) (Figure 2A). Analysis according to the lobar location of the tumor showed a significant correlation between the SUV and grade for the right upper and left lower lobes, as well as for the central location in the right lung (P<0.001, P=0.005, and P=0.04, respectively). No correlation was found for the right middle, right lower, left upper lobes or central location in the left lung (P=0.32, P=0.41, P=0.08, and P=0.55, respectively) (Figure 2B). Analysis according to histological type showed a significant correlation between SUV and grade for squamous cell cancer and adenocarcinoma (P<0.001, and P=0.01, respectively), but not for any other type (P=0.11–0.41) (Figure 2C). Furthermore, upon conducting an analysis based on the T factor [in accordance with the 7th edition of the tumor-node-metastasis (TNM) system], a significant correlation between SUV and grade was observed for T1–T3 factors (P<0.001, P=0.006, P=0.005 respectively) (Figure 2D).
Discussion
Key findings
Not surprisingly, we observed a significant correlation between the SUV of the primary tumor and its histological grade. Our findings confirm that negative PET results in low-grade lung cancer should be interpreted with caution because false-negative results are more likely to occur. Additionally, we performed a separate analysis of the SUV-grade correlation in subgroups according to important clinical factors: histological type, age, sex, lobar location of the primary tumor, and T factor. According to our results, this correlation was significant for both sexes, age groups, most common histological types, and T1–T3 categories.
Strengths and limitations
An important strength of our study is the sample size, which, to the best of our knowledge, is the largest reported to date. We included data from 726 patients. Moreover, our study is the first to report a correlation between the SUV and tumor grade in all subgroups: age, sex, lobar location of the primary tumor and T factor.
Another advantage of this study is that all patients underwent both diagnosis and treatment in the same center by the same team using a standardized protocol, which increases the comparativeness of outcomes.
A limitation of this study is its retrospective nature; however, for the analysis of the SUV-grade correlation, it is unlikely to have an important impact on the results.
Comparison with similar research
This study included 726 patients. Yoshiya et al., Zhao et al., and Okada et al. reported 608, 540, and 502 patients, respectively (6,22,23), while the remaining relevant studies included smaller cohorts: between 23 and 356 patients (4,5,7-21,24). Several other authors found similar SUV-grade correlation (4-12); however, they did not analyse subgroups according to the most important clinical variables. Data regarding the impact of these variables on SUV-grade correlation has not been published to date; in this regard, our results are original. In some of these studies, the SUV was significantly higher for squamous cell cancer than for adenocarcinoma (6,9-11). Moreover, Higashi et al. found that bronchioloalveolar carcinoma has a lower SUV than non-bronchioloalveolar carcinoma does (13). Our findings, confirming the correlation between SUV and grade, are consistent with the results of Xue et al., Cerfolio et al., and Meng et al. (5,8,11). Also, in one paper, such correlation was found for adenocarcinoma (12). We extended the analysis to other histological types; however, no significant correlation was observed. Nakamura et al. reported the relationship between the SUV and different histological subtypes of adenocarcinoma, but they did not specifically address the tumor grade (20).
Further, we addressed the influence of age on SUV-grade correlation. Our results confirm that this is significant for patients aged <50, 50–70, and >70 years. Moreover, in a study conducted by Duan et al., the SUV was higher in patients over 60 years of age, but the authors did not analyze the correlation between SUV and grade in this age group (12). Additionally, in an interesting study, Kosaka et al. correlated the SUV of small peripheral tumors with their clinical malignant potential (vascular and lymphatic invasion, lymph node metastasis, and recurrence). They found that SUV was significantly associated with tumor malignancy (21); although they did not include the histological grade of the tumor, their results confirmed our findings. Furthermore, Okada et al. and Shiono et al. showed an association between the SUV and clinical factors associated with malignant tumor potential (22,24). Similar results were published by Vansteenkiste et al., who found a correlation between SUV and survival but did not analyze tumor grade (25). Finally, Yoshiya et al. analyzed the relationship between tumor location and SUV and found that that SUV was significantly lower in lower-zone tumors than in upper-zone tumors. However, they did not include tumor grade in their analysis (23).
Explanations of findings
The significant correlation we found resulted from the analysis of a large number of patients included in our study. Therefore we were able to demonstrate this correlation in particular patient subgroups. Relatively small number of patients with less frequent histological types (large-cell, adeno-squamous, small-cell and carcinoid) may have resulted in lack of correlation in these groups. For the large cell, adeno-squamous, small cell, and other cancer types the number of patients was: 20, 61, 4, and 20, respectively. Similarly, the small number of patients could be responsible for the lack of significance regarding the right central location of the tumor, where the number of patients was only 59. In addition, the lack of significance for T4 tumors can be attributed to the small sample size.
Implications and actions needed
Our results enable better interpretation of PET results in different clinical scenarios. The knowledge that tumor grade affects the SUV for both sexes, age groups, most common histological types, and T factors T1–T3 is of practical importance for oncologists, pulmonologists, and thoracic surgeons.
Our results provide important information that may be helpful in the decision-making processes for clinicians dealing with lung cancer staging.
Regarding some subgroups, which included a small number of patients in our series, an analysis of large cohorts would be valuable.
Conclusions
In patients with resectable lung cancer significant correlation exists between the primary tumor’s SUV and its grade. This correlation is maintained for both sexes, age groups, most common histological types and T factors T1–T3.
Acknowledgments
We thank Andrzej Stanisz, PhD, for his help with the statistical analysis of our results.
Funding: This study was supported by
Footnote
Reporting Checklist: The authors have completed the MDAR reporting checklist. Available at https://tcr.amegroups.com/article/view/10.21037/tcr-23-798/rc
Data Sharing Statement: Available at https://tcr.amegroups.com/article/view/10.21037/tcr-23-798/dss
Peer Review File: Available at https://tcr.amegroups.com/article/view/10.21037/tcr-23-798/prf
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://tcr.amegroups.com/article/view/10.21037/tcr-23-798/coif). All authors report that this study was supported by a statutory grant of the Jagiellonian University. The authors have no other conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). Ethics Committee of the Medical Chamber in Cracow has waived the Ethical approval because of the retrospective character of the study. Written informed consent has been waived for the retrospective analysis of the historical hospital records.
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
References
- International Agency for Research on Cancer. GLOBOCAN Lung Cancer Facts Sheet 2020. Available online: https://www.iarc.who.int/news-events/latest-global-cancer-data-globocan-database-2020/
- NCCN Clinical Practice Guidelines in Oncology [homepage on the internet]. Non-Small Cell Lung Cancer. [Version 4.2022 — September 2; cited 2022 Sep 24]. Available online: www.nccn.org
- Kinahan PE, Fletcher JW. Positron emission tomography-computed tomography standardized uptake values in clinical practice and assessing response to therapy. Semin Ultrasound CT MR 2010;31:496-505. [Crossref] [PubMed]
- Park B, Kim HK, Choi YS, et al. Prediction of Pathologic Grade and Prognosis in Mucoepidermoid Carcinoma of the Lung Using 18F-FDG PET/CT. Korean J Radiol 2015;16:929-35. [Crossref] [PubMed]
- Cerfolio RJ, Bryant AS, Ohja B, et al. The maximum standardized uptake values on positron emission tomography of a non-small cell lung cancer predict stage, recurrence, and survival. J Thorac Cardiovasc Surg 2005;130:151-9. [Crossref] [PubMed]
- Zhao SJ, Wu N, Zheng R, et al. Primary tumor SUVmax measured on (18)F-FDG PET-CT correlates with histologic grade and pathologic stage in non-small cell lung cancer. Zhonghua Zhong Liu Za Zhi 2013;35:754-7. [PubMed]
- Takenaka T, Yano T, Morodomi Y, et al. Prediction of true-negative lymph node metastasis in clinical IA non-small cell lung cancer by measuring standardized uptake values on positron emission tomography. Surg Today 2012;42:934-9. [Crossref] [PubMed]
- Xue J, Zheng J, Guo H, et al. Predictive value of 18(F)-fluorodeoxyglucose positron emission tomography - computed tomography compared to postoperative pathological findings for patients with non-small-cell lung cancer. Mol Clin Oncol 2015;3:109-14. [Crossref] [PubMed]
- Shimizu K, Okita R, Saisho S, et al. Clinical significance of dual-time-point 18F-FDG PET imaging in resectable non-small cell lung cancer. Ann Nucl Med 2015;29:854-60. [Crossref] [PubMed]
- Um SW, Kim H, Koh WJ, et al. Prognostic value of 18F-FDG uptake on positron emission tomography in patients with pathologic stage I non-small cell lung cancer. J Thorac Oncol 2009;4:1331-6. [Crossref] [PubMed]
- Meng X, Sun X, Mu D, et al. Noninvasive evaluation of microscopic tumor extensions using standardized uptake value and metabolic tumor volume in non-small-cell lung cancer. Int J Radiat Oncol Biol Phys 2012;82:960-6. [Crossref] [PubMed]
- Duan XY, Wang W, Li M, et al. Predictive significance of standardized uptake value parameters of FDG-PET in patients with non-small cell lung carcinoma. Braz J Med Biol Res 2015;48:267-72. [Crossref] [PubMed]
- Higashi K, Ueda Y, Yagishita M, et al. FDG PET measurement of the proliferative potential of non-small cell lung cancer. J Nucl Med 2000;41:85-92. [PubMed]
- Aktas GE, Karamustafaoğlu YA, Balta C, et al. Prognostic significance of fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography-derived metabolic parameters in surgically resected clinical-N0 nonsmall cell lung cancer. Nucl Med Commun 2018;39:995-1004. [Crossref] [PubMed]
- Li M, Wu N, Zheng R, et al. Primary tumor PET/CT [18F]FDG uptake is an independent predictive factor for regional lymph node metastasis in patients with non-small cell lung cancer. Cancer Imaging 2013;12:566-72. [Crossref] [PubMed]
- Su M, Li Y, Li F, et al. Risk factors for N2 metastasis in patients with non-small-cell lung cancer: multivariate analyses of 18F-FDG PET/CT data. Nucl Med Commun 2014;35:916-21. [Crossref] [PubMed]
- Mattes MD, Weber WA, Foster A, et al. A Predictive Model for Lymph Node Involvement with Malignancy on PET/CT in Non-Small-Cell Lung Cancer. J Thorac Oncol 2015;10:1207-12. [Crossref] [PubMed]
- Ohtsuka T, Nomori H, Watanabe K, et al. Prognostic significance of [(18)F]fluorodeoxyglucose uptake on positron emission tomography in patients with pathologic stage I lung adenocarcinoma. Cancer 2006;107:2468-73. [Crossref] [PubMed]
- Yoo IeR, Chung SK, Park HL, et al. Prognostic value of SUVmax and metabolic tumor volume on 18F-FDG PET/CT in early stage non-small cell lung cancer patients without LN metastasis. Biomed Mater Eng 2014;24:3091-103. [Crossref] [PubMed]
- Nakamura H, Saji H, Shinmyo T, et al. Close association of IASLC/ATS/ERS lung adenocarcinoma subtypes with glucose-uptake in positron emission tomography. Lung Cancer 2015;87:28-33. [Crossref] [PubMed]
- Kosaka T, Yamaki E, Tanaka S, et al. Preoperative 18F-fluorodeoxyglucose positron emission tomography can predict the tumor malignancy of small peripheral lung cancer. Ann Thorac Cardiovasc Surg 2014;20:968-73. [Crossref] [PubMed]
- Okada M, Nakayama H, Okumura S, et al. Multicenter analysis of high-resolution computed tomography and positron emission tomography/computed tomography findings to choose therapeutic strategies for clinical stage IA lung adenocarcinoma. J Thorac Cardiovasc Surg 2011;141:1384-91. [Crossref] [PubMed]
- Yoshiya T, Miyata Y, Ibuki Y, et al. The Difference in Maximum Standardized Uptake Value among Lung Adenocarcinomas Located at the Upper and Lower Zone on PET/CT. Respiration 2015;90:293-8. [Crossref] [PubMed]
- Shiono S, Abiko M, Sato T. Positron emission tomography/computed tomography and lymphovascular invasion predict recurrence in stage I lung cancers. J Thorac Oncol 2011;6:43-7. [Crossref] [PubMed]
- Vansteenkiste JF, Stroobants SG, Dupont PJ, et al. Prognostic importance of the standardized uptake value on (18)F-fluoro-2-deoxy-glucose-positron emission tomography scan in non-small-cell lung cancer: An analysis of 125 cases. Leuven Lung Cancer Group. J Clin Oncol 1999;17:3201-6. [Crossref] [PubMed]