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Ann Thorac Surg 2009;88:911-916. doi:10.1016/j.athoracsur.2009.05.083
© 2009 The Society of Thoracic Surgeons

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Original Articles: General Thoracic

Standard Uptake Value Predicts Survival in Non–Small Cell Lung Cancer

Ikenna C. Okereke, MDa,*, Sidhu P. Gangadharan, MDa, Michael S. Kent, MDa, Saila P. Nicotera, MDa, Changyu Shen, PhDb, Malcolm M. DeCamp, MDa

a Division of Cardiothoracic Surgery, Beth Israel Deaconess Medical Center, Boston, Massachusetts
b Division of Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana

Accepted for publication May 28, 2009.

* Address correspondence to Dr Okereke, Department of Surgery, Section of Cardiothoracic Surgery, Indiana University School of Medicine, 545 Barnhill Dr, EH 215, Indianapolis, IN 46202 (Email: iokereke{at}iupui.edu).

Presented at the Forty-fifth Annual Meeting of The Society of Thoracic Surgeons, San Francisco, CA, Jan 26–28, 2009.


    Abstract
 Top
 Abstract
 Introduction
 Material and Methods
 Results
 Comment
 Discussion
 References
 
Background: Integrated [18F]fluorodeoxyglucose positron emission tomography–computed tomography (PET-CT) scan is a widely used modality in the evaluation of lung cancer. Our goal was to determine the ability of the standard uptake value (SUV) of the primary tumor (SUV-T) and regional lymph nodes (SUV-N) to predict survival.

Methods: From January 2005 through June 2007, 584 consecutive patients undergoing integrated PET-CT scan for suspected lung cancer were studied. Results of integrated PET-CT scans, including the maximum SUV-T and SUV-N, were recorded. A patient was defined as having a positive PET scan if the maximum SUV (T or N) was greater than 2.5. Overall survival was documented from clinical records and the Social Security Death Index. Cox regression analysis was used to evaluate the correlation between SUV and survival.

Results: Among patients with a positive PET scan (n = 329), both SUV-T and SUV-N were predictors of survival. As maximum SUV of the primary mass increased, survival decreased (hazard ratio, 1.05; p < 0.001). As maximum SUV of locoregional lymph nodes increased, survival also decreased (hazard ratio, 1.06; p < 0.001). Furthermore, among patients with no mediastinal disease identified by PET-CT scan, increased SUV-T continued to predict poor survival (hazard ratio, 1.06; p = 0.001).

Conclusions: Local and regional maximum SUVs defined by integrated PET-CT scanning have a strong correlation with survival in patients with non–small cell lung cancer. An elevated SUV is known preoperatively and may assist clinicians in stratifying patients at increased overall risk preoperatively.


    Introduction
 Top
 Abstract
 Introduction
 Material and Methods
 Results
 Comment
 Discussion
 References
 
Lung cancer is the most lethal malignancy in this country, with up to 160,000 deaths per year [1] attributable to this disease. As such, the ability to diagnose and treat lung cancer remains a major public health concern. Positron emission tomography–computed tomography (PET-CT) scan, which is widely used in the management of lung cancer, has become an important diagnostic modality in the process of evaluating and staging patients appropriately. The PET scan, which measures the uptake and trapping of radiolabeled glucose by tissues [2], assists in determining the presence of locoregional and metastatic disease. The extent of disease detected by PET-CT scan could impact the decision to operate and guide the need for adjuvant or neoadjuvant therapy.

The results of PET-CT scan may also be able to stratify patients with lung cancer in terms of ultimate prognosis, as has been shown in previous studies [3–6]. Our goals were to determine whether the clinical stage, based on preoperative PET-CT scan, predicts overall outcome and to understand the correlation between standardized uptake value (SUV) and survival.


    Material and Methods
 Top
 Abstract
 Introduction
 Material and Methods
 Results
 Comment
 Discussion
 References
 
Patients
From January 2005 through June 2007, 584 consecutive patients undergoing integrated PET-CT scan for suspected non–small cell lung cancer were studied, regardless of whether they ultimately underwent surgery. Patients who were determined to have small cell lung cancer were excluded from the study. Approval from the institutional review board was obtained. Qualitative and quantitative results of integrated PET-CT scans, including the maximum SUV [7] of the primary mass (SUV-T) and regional lymph nodes (SUV-N), were recorded. A patient was defined as having a positive PET scan if the maximum SUV (T or N) was greater than 2.5 [8]. Overall survival was documented from clinical records and the Social Security Death Index. Cox regression analysis, Kaplan-Meier analysis, and the log-rank test were used to evaluate the correlation between SUV and survival.

Outcomes
The results of the integrated PET-CT scan, including SUV-T and SUV-N, mass size, presence of lymphadenopathy by CT criteria (>1 cm in short-axis dimension), and location of positivity were recorded. Similarly, the clinical and pathologic stages were determined, using standard TNM classifications [9], in patients who underwent surgery. Survival data was obtained through electronic medical records and verified using the Social Security Death Index.

Surgical procedures were performed by 3 staff surgeons at the Beth Israel Deaconess Medical Center. Each surgical procedure was performed using either video-assisted thoracoscopic surgery or an open approach, depending on patient and tumor characteristics. Preoperative staging of the mediastinum was performed using esophageal ultrasound and endobronchial ultrasound when deemed appropriate. Mediastinal lymph node sampling and dissection were performed routinely as a part of the procedure.

Positron Emission Tomography–Computed Tomography Scan
All patients fasted for greater than 4 hours before the scan. Blood glucose levels were determined before administration of 10 Ci [18F]fluorodeoxyglucose (18FDG). Sixty minutes after administration of 18FDG, PET and CT scans were obtained from the skull base to the level of the hips. All integrated PET-CT scans were reviewed by radiologists who specialized in nuclear medicine techniques. A PET-CT scan was interpreted as positive if the maximum SUV-T or SUV-N of a study exceeded 2.5.

Images obtained from PET scan were reconstructed using standard algorithms. Abnormal 18FDG uptake was defined as areas with activity greater than in surrounding tissue and unrelated to sites with normally increased uptake of tracer (myocardium) or excretion (bladder). For the calculation of SUV, circular regions of interest (≥70 pixels) were drawn on axial images adjacent to areas of increased 18FDG uptake. The SUV was calculated using the following equation:


Formula

When evaluating a mass or a lymph node, the maximum SUV within the structure was used. The highest SUV of any lymph node was used to represent SUV-N.

Statistical Analysis
Continuous variables were summarized by mean and standard error, and categorical variables were summarized by frequency and percentage. Cox proportional hazard model was used to correlate continuous independent variables with survival. The association between SUV and mortality for individual stage or grouping of stages was analyzed in combination with a Cox regression model, controlling for mass size and largest node size. The proportional hazard assumption was tested by the approach proposed by Lin and colleagues [10]. Survival functions of different populations were estimated by Kaplan-Meier estimator and compared by log-rank test. All analyses were performed by SAS 9.1 (SAS Institute Inc, Cary, NC).


    Results
 Top
 Abstract
 Introduction
 Material and Methods
 Results
 Comment
 Discussion
 References
 
Demographics
The study included 584 patients. Table 1 lists the demographics of the patient population. Average age was 67 years. Tissue diagnosis was obtained in 417 patients (71%). Ultimately, 246 patients underwent mediastinoscopy or surgical resection.


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Table 1 Demographics
 
Accuracy
Positron emission tomography–computed tomography scan results are listed in Table 2. A PET stage of III or higher was assigned to 36% of patients. The PET-CT scan was positive in the mediastinum in 164 patients (28%). When comparing pathologic data with PET-CT results in patients who underwent mediastinoscopy or surgical resection, the sensitivity and specificity of PET-CT scan were 87% and 43%, respectively.


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Table 2 Positron Emission Tomography–Computed Tomography Scan Results
 
Survival
Figure 1 shows survival stratified by PET stage. There was a statistically significantly correlation between PET stage and survival (p < 0.001), with survival decreasing as PET stage increased.


Figure 1
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Fig 1. Positron emission tomography (PET) stage versus survival.

 
Standardized Uptake Value
The correlation between SUV and survival was examined. Patients with M1 disease identified by PET scan were excluded from analysis. All other patients were included. Table 3 shows the SUV levels for each PET stage. As the SUV-T increased, overall survival decreased (hazard ratio, 1.05; p < 0.001). Similarly, as the SUV-N increased, survival diminished (hazard ratio, 1.06; p < 0.001).


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Table 3 Standardized Uptake Value Levels
 
Although SUV is a continuous variable, we thought that establishing "high-risk" and "low-risk" groups, based on SUV values, would act as a useful reference for clinicians. Dichotomization of SUV values was based on the 75th percentile values and, once again, included only patients in PET stages I, II, and III. Patients who had an SUV-T higher than 12.5 had worse survival than patients with an SUV-T less than 12.5 (p < 0.001; Fig 2). Similarly, patients with an SUV-N higher than 9.7 had worse survival than patients with an SUV-N less than 9.7 (p = 0.046; Fig 3).


Figure 2
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Fig 2. Standardized uptake value of the primary mass (SUV-T) versus survival.

 

Figure 3
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Fig 3. Standardized uptake value of the regional lymph nodes (SUV-N) versus survival.

 
The correlation of SUV-T with survival was next examined in each individual stage. Results are shown in Table 4. The association of SUV-T with mortality was most pronounced for patients in PET stage II, and was significant for PET stages I and II combined and PET stages I, II, and III combined. These associations were independent of mass size and largest node size.


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Table 4 Standardized Uptake Value Versus Survival in Each Stage
 
Mediastinum-Negative
Clinical stage I or II disease was found in190 patients (58%) on the basis of their PET-CT scans. Among this group of patients with no mediastinal disease identified by PET-CT scan, as SUV-T rose, survival diminished (hazard ratio, 1.06; p < 0.001). Furthermore, patients were divided into "high-risk" and "low-risk" groups based on 75th percentile values of SUV-T. In patients with a negative mediastinum, an SUV-T of 10 was identified as a cutoff for survival (p = 0.05; Fig 4).


Figure 4
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Fig 4. Survival in mediastinum-negative patients. (SUV = standardized uptake value.)

 
Malignant Disease
Pathologic evidence of malignancy, diagnosed by mediastinoscopy, surgical resection, or fine needle aspiration (FNA), was reported in 266 patients (46%). After excluding M1 disease, 232 patients remained. In this group of patients, there was still a significant correlation between SUV-T and survival (hazard ratio, 1.04; p = 0.03). There was also a significant correlation between SUV-N and survival (hazard ratio, 1.11; p = 0.01).


    Comment
 Top
 Abstract
 Introduction
 Material and Methods
 Results
 Comment
 Discussion
 References
 
The goal of our study was to understand the ability of PET-CT scan to predict overall outcome. Our results show that PET-CT scan can in fact act as a prognosticator for long-term survival. There are many different aspects of PET-CT scan that were reviewed in this study.

Overall PET stage was seen to predict survival in our study. This finding has been seen previously [4] and is in part related to the poor overall outcome in patients identified with advanced disease, especially in patients with M1 disease [11].

Because patients with M1 disease have such guarded outcomes, we performed separate analyses of the role of SUV versus survival excluding these patients. Even after excluding patients with M1 disease, there was still a significant correlation between SUV and survival, both in the primary tumor and in locoregional lymph nodes. This correlation was also significant in the group of patients with pathologic evidence of malignant disease. Importantly, these analyses were performed adjusting for mass size to prevent potential confounding from a variable already known to be associated with worse survival. These findings are important in that they can perhaps guide treatment plan based on these values, as the SUV levels are known preoperatively.

We also thought it was important to analyze the correlation of SUV with survival within each clinical stage. Although the only individual stage with a statistically significant association of SUV and survival was for patients with PET stage II, the group of patients with no clinical evidence of disease in the mediastinum (PET stages I and II) and the group of patients with no clinical evidence of metastatic disease (PET stages I, II, and III) each had significant associations. These two groups are composed of the patients most likely to benefit from appropriate preoperative risk stratification and potential surgical resection. Whereas the long-term survival in patients identified with M1 disease is unlikely to be affected considerably, alterations in management based on SUV can potentially impact long-term outcome in patients with stage I, II, or III disease identified clinically. Many centers now use SUV primarily as an "all or none" value, with values above 2.5 considered positive and values below 2.5 considered negative. The results of this study argue that SUV should instead be used as a gradient, and higher values should potentially alter overall treatment plan. Decisions about whether to perform mediastinoscopy before resection [12], the need for adjuvant therapy [13], and the frequency of postoperative surveillance all may be affected by preoperative SUV levels.

Our study has shown that survival decreases as SUV of the primary tumor or locoregional lymph nodes increases. An important point that remains to be discovered, however, is the mechanism of failure in these patients. One potential mechanism is that tumors with higher SUV values have a more advanced stage at surgery than predicted by the preoperative PET stage, implying that as the SUV increases, accuracy decreases. Another potential mechanism is earlier local recurrence of disease, implying that tumors with higher SUV values are more locally aggressive. Yet another possible mechanism is an increased propensity for distant metastasis. Prospective studies are required to determine the absolute causes for decreased survival in patients with higher SUV values.

Although we believe that SUV should be used as a gradient, we attempted to find a cutoff value, above and below which there were significant differences in survival. We were able to achieve this both for SUV-T and SUV-N, with values of 12.5 and 9.7, respectively. We believe that these cutoff points can be useful as a reference for clinicians, and may eventually be able to be incorporated into a staging system. Further prospective studies are required, however, before this goal can be achieved. This cutoff would be especially practical in patients with no evidence of mediastinal disease preoperatively. Better ability to stratify these patients would lead to more accurate prediction of long-term outcome and more appropriate treatment preoperatively. Our results argue that patients with a high SUV would potentially profit from a more aggressive treatment plan, including mediastinoscopy before resection of the primary tumor and adjuvant chemotherapy, regardless of final pathologic results.

The goals of this study were to determine the ability of PET-CT to predict survival in patients with suspected lung cancer, and to understand which specific aspects of PET-CT were important. Preoperative PET stage does predict long-term outcome, and SUV values predict survival. Further studies are required to determine mechanisms of failure related to higher SUV values.


    Discussion
 Top
 Abstract
 Introduction
 Material and Methods
 Results
 Comment
 Discussion
 References
 
DR DAVID R. JONES (Charlottesville, VA): I had two quick questions for you. How many patients had bronchioloalveolar cell carcinoma given that they typically have a low SUV (standardized uptake value) value? What do you think if you excluded those, would it have any impact on your analysis?

Second, what do we do now with the patient who is mediastinoscopy negative, but who has a tumor with an SUV of 15 and a node of 12, which would fall into your high-risk group? Should we give those patients induction chemo? Is your group starting to look at that or considering it?

DR OKEREKE: I think those are both great questions. I think the second one goes toward the heart of the relevance of this study.

To answer the first question, approximately 10% to 15% of our patients had bronchoalveolar pathology. As such, I would say that bronchoalveolar probably does not have a significant impact toward the overall results of this study. This is my approximation.

As to the second question, I think that once again the relevance of this study is, especially in mediastinal-negative patients with a very high SUV, should we do neoadjuvant strategies? I think based on this, the next study should be a prospective randomized trial looking at SUV and potentially separating patients into two groups, one with neoadjuvant and one without. I think that will be the next step.

DR MICHAEL J. LIPTAY (Chicago, IL): I enjoyed the paper very much. I have a question along similar lines when the tumor SUV is high and the hilar and mediastinal nodes are negative. Do you change your strategy at all?

Secondly, did you find in the pathologic analysis of the surgical specimens that the nodes had a higher incidence of being positive; that is, high SUV in the tumor may predict nodal positivity because it's a more aggressive tumor?

DR OKEREKE: Yes, that's a great question. In fact, that's what we investigated. It did not specifically say, and there was no statistical significance in the difference of concordance between the two in that situation. But I think that's what potentially further analysis would need to consider.

DR JOSHUA R. SONETT (New York, NY): Excellent presentation. Did you look at all at the size of the tumor relative to the SUV and quantitate SUV for the size?

So does a 1-cm tumor that throws off an SUV of 10 versus a 10-cm tumor that throws off an SUV of 10 have different clinical outcomes, as per gram of tumor the smaller tumor appears more active?

DR OKEREKE: Yes, we did. Yes, I didn't include that. The size of the tumor was correlated with survival, which is not too unexpected. Secondly, these results were independent of mass size.

DR LIPTAY: No. But did you ever think of dividing by the size of the tumor, so an SUV, like a DLCO (lung diffusing capacity for carbon monoxide), for the size of that tumor?

DR OKEREKE: Oh, I see. No, we did not.

DR LIPTAY: So a 1-cm tumor that throws off an SUV of 5 may be worse than a 5-cm tumor that throws off an SUV of 12. It may bespeak early to the bad biologic character of it, but it didn't get big enough to throw off an SUV of 12.

DR OKEREKE: No, I think that's a good point.

DR LIPTAY: But you have that data, so it might be nice for us to see it in the future.

DR PAUL DE LEYN (Leuven, Belgium): Thank you for your very nice presentation. As you know, SUV is not at all standardized. It might be standardized in one institution for one PET (positron emission tomography) scanner, but you cannot transmit the data for other PET scanners.

Can we use the data from your center to select patients for adjuvant therapy in centers with other PET scanners?

DR OKEREKE: Yes. Though it is called Standard Update Value, it's quite nonstandard across different PET scanners.

We eliminated that problem at our institution because we had a single PET-CT scanner which was used for all 584 patients. But I think trying to apply a cutoff value among different institutions may have some degree of difference.

That being said, there has been some work by Dr Cerfolio. That's one of the papers that we've referenced. His cutoff value by a different methodology was about 10. We had a cutoff value for the primary tumor of 12.5.

I think that there will be some gray area, but it still should not eliminate the possibility of trying to create some type of randomized trial looking at neoadjuvant strategies based on SUV. I think that's a great point, though.

DR SETH D. FORCE (Atlanta, GA): I have a quick question. I think that one of the previous questions may have addressed this, but I didn't see kind of a report of the accuracy of your PET imaging. And so for patients who were N1 positive by PET, what was the concordance in pathologic specimens?

DR OKEREKE: Right. N1 disease was very limited preoperatively, but I think it's a good point.

DR JONES: Did you do a multivariate analysis of SUVmax? You're saying it's a marker of a poor prognosis if it's above or below a certain number. But is it an independent predictor of a poor prognosis?

Did you look at tumor size, pathologic stage, or other kinds of histopathologic variables such as grade or lymphovascular invasion?

DR OKEREKE: To answer your question, yes and no. We did it based on mass size as well.

DR JONES: And was it a multivariate analysis?

DR OKEREKE: Yes.

DR LEDFORD POWELL (Newport Beach, CA): A quick question. I enjoyed the presentation. You actually answered a lot of questions that I had had about PET scans previously.

I did want to know whether or not you noticed a correlation between the mediastinal-negative patients that had high primary tumor SUVs and their tumor biology, meaning if they had a low SUV, did they have moderately differentiated adenocarcinoma? And if they had a higher SUV, did they have a more aggressive tumor?

And should we be considering the aggressiveness of the tumor when we're looking at whether or not these patients need to get chemotherapy?

DR OKEREKE: Yes, I think potentially, and, no, we did not notice that.

DR JEAN-FRANCOIS LEVI (Neuilly-sur-Seine, France): Did you notice if the decrease of SUV after chemotherapy is a better prognostic or not?

DR OKEREKE: No, that wasn't included in our study. No, we did not include patients who underwent neoadjuvant chemoradiation in this study.


    References
 Top
 Abstract
 Introduction
 Material and Methods
 Results
 Comment
 Discussion
 References
 

  1. Cancer Statistics 2007American Cancer Societywww.cancer.orgAccessed June 18, 2009.
  2. Antoch G, Stattaus J, Nemat A, et al. Non–small cell lung cancer: dual-modality PET/CT in preoperative staging Radiology 2003;229:526-533.[Abstract/Free Full Text]
  3. Lauer M, Murthy S, Blackstone E, Okereke I, Rice T. [18F]Fluorodeoxyglucose uptake by positron emission tomography for diagnosis of suspected lung cancer: impact of verification bias Arch Intern Med 2007;167:161-165.[Abstract/Free Full Text]
  4. Cerfolio R, Bryant A, Ohja B, Bartolucci A. 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;130:151-159.[Abstract/Free Full Text]
  5. Dunagan D, Chin R, McCain T, et al. Staging by positron emission tomography predicts survival in patients with non-small cell lung cancer Chest 2001;119:333-339.[Abstract/Free Full Text]
  6. Dhital K, Saunders C, Seed P, O'Doherty M, Dussek J. [18F]Fluorodeoxyglucose positron emission tomography and its prognostic value in lung cancer Eur J Cardiothorac Surg 2000;18:425-428.[Abstract/Free Full Text]
  7. Gupta N, Graeber G, Bishop H. Comparative efficacy of positron emission tomography with fluorodeoxyglucose in evaluation of small, intermediate and large lymph node lesions Chest 2000;117:773-778.[Abstract/Free Full Text]
  8. Patz E, Lowe V, Hoffman J, et al. Focal pulmonary abnormalities: evaluation with F-18 fluorodeoxyglucose PET scanning Radiology 1993;188:487-490.[Abstract/Free Full Text]
  9. Mountain C. Revisions in the international system for staging lung cancer Chest 1997;111:1710-1717.[Abstract/Free Full Text]
  10. Lin D, Wei L, Ying Z. Checking the Cox model with cumulative sums of Martingale-based residuals Biometrika 1993;80:557-572.[Abstract/Free Full Text]
  11. Ginsberg M, Grewal R, Heelan R. Lung cancer Radiol Clin N Am 2007;45:21-43.[Medline]
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