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a Division of General Thoracic Surgery, Department of Surgery, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN 55905, United States
b Division of Nuclear Medicine, Department of Radiology, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN 55905, United States
Received 6 June 2008; received in revised form 28 August 2008; accepted 8 September 2008.
* Corresponding author. Tel.: +1 507 284 1517; fax: +1 507 284 0058. (Email: allen.mark{at}mayo.edu).
| Abstract |
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Key Words: Pulmonary metastases Positron emission tomography Screening
| 1. Introduction |
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Resection of pulmonary metastasis has become an integral part of oncologic treatment in a select group of patients with controlled primary malignancies outside the thorax. During follow-up, these patients commonly undergo screening studies to detect recurrences or metastases. 18F-Fluorodeoxyglucose positron emission tomography (FDG-PET) is increasingly being used for screening purposes, often in conjunction with computed tomography scanning (CT).
Several papers have been published on the use of FDG-PET for the diagnosis and staging of indeterminate pulmonary nodules. Overall, in the setting of an indeterminate nodule greater than 1 cm, FDG-PET has a sensitivity of 96.8% and specificity of 77.8% in the detection of malignancy [2]. The vast majority of the published data comes from series of patients with non-small cell lung cancer and includes only a few patients with pulmonary metastases. Little is known about the accuracy of FDG-PET in detecting extrathoracic malignancies that have spread to the lungs. The aim of the current study was to determine the sensitivity and factors that affect the sensitivity of FDG-PET when used in patients with metastatic pulmonary nodules.
| 2. Materials and methods |
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Medical records were reviewed for age, gender, race, primary tumor type, chest CT and FDG-PET results, type of pulmonary resection, number, grade, and histopathology of the nodules removed. Chest CT results were transcribed based on the clinical report, as well as review of the images, with nodule measurement when necessary. Maximal nodule diameter measured by CT and pathology correlated well with each other (Fig. 1 ). FDG-PET imaging results were abstracted from the radiology reading at our institution even if the study was performed elsewhere. FDG-PET imaging was performed at our institution on a GE Advance PET tomograph or DLS/DRX combined PET/CT scanner (General Electric Medical Systems, Inc., Milwaukee, WI). The F-18 fluoride was produced by an on-site GE Trace Cyclotron (GE Medical Systems). FDG Synthesis was performed by standard methods. FDG was tested for sterility, pyrogenicity, and radiochemical purity on each production run.
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Emission images were reconstructed using iterative reconstruction. Attenuation correction was used on all data. The CT data used for attenuation correction in the PET/CT fusion scans and the uncorrected data were available for review. Emission data were corrected for scatter, random events, and deadtime losses using the manufacturer's software. Image pixel size was 4.25 mm, displayed in a 128-by-128 array. Standard orthogonal views, as well as maximum intensity projections, were reviewed during scan interpretation. FDG activity in lung nodules that was greater than mediastinal blood pool activity was identified as positive for disease.
| 3. Statistics |
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| 4. Results |
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| 5. Discussion |
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10 mm) the sensitivity was only 29.6%; whereas, for nodules larger than 10 mm the sensitivity was 87.8%. A similar discrepancy was seen for cell type: only 44% of sarcomas were FDG-PET positive, yet over 93% of squamous cell carcinomas were found to be positive. The idea of whole body cancer surveillance is very appealing and has, for some, compelled the use of FDG-PET as a screening tool for recurrence of various malignancies. While much has been published about the sensitivity of FDG-PET for pulmonary nodules in primary lung cancer, little information has been available on the sensitivity of PET for metastatic pulmonary lesions from extrathoracic malignancies. Our findings of a sensitivity of only 68% highlight the need for caution when using FDG-PET to screen for the presence of otherwise occult pulmonary metastases. The use of FGD-PET for this purpose is not supported for use in sarcomas or in patients with pulmonary nodules less than 1 cm.
Since lung is the second most common site for tumor metastasis after the liver and 20–54% of oncologic patients will have a pulmonary metastasis diagnosed at some point in the natural history of their disease, some form of surveillance of the lungs is recommended [4]. Computed tomography, with the addition of maximum intensity images (MIP), is an excellent surveillance modality [5]. This should be the initial means for routine follow-up of the lung for patients that are at risk for developing metastases. If the CT shows pulmonary nodules, FDG-PET may be used to identify extrathoracic disease with the caveat that the interpretation of FDG-PET negative pulmonary nodules should be made cautiously.
Pulmonary metastasectomy is a standard therapeutic procedure in carefully selected patients with metastasis to the lung. Survival rates with resection are far better than expected after chemotherapy or radiotherapy alone [6]. Complete pulmonary resection has been shown to improve long-term survival with actuarial survival at 5 years of 30% to 50% for various types of tumors. This is in striking contrast to patients who have an incomplete resection where survivals figures are 0–13% at 5 years. To find and remove all pulmonary metastases is therefore important, thus relying on FDG-PET with its low sensitivity is not an adequate exam to detect all pulmonary nodules, when resection for cure is being considered. Survival after pulmonary metastasectomy is also influenced by factors other than completeness of resection. Shorter disease free interval (DFI), increasing number of metastatic nodules, and positive lymph nodes at the time of resection have all been shown to worsen overall prognosis [6–8].
The limited sensitivity of FDG-PET for small nodules that we found has been previously reported by others. Gould published a meta-analysis of 1474 pulmonary nodules evaluated by FDG-PET, and concluded that FDG-PET has an overall high specificity but variable sensitivity for nodules less than 1 cm [2]. More recently, Nomori and colleagues prospectively looked at 136 benign and malignant nodules less than 3 cm in diameter which had been referred for surgical treatment [9]. They found that all malignant nodules less than 1 cm were falsely negative on FDG-PET. If the lesion in question was a ground-glass opacity (GGO), the accuracy of FDG-PET was also poor, with 90% of malignant GGOs being falsely negative and four of five inflammatory GGOs being falsely positive [9]. In another report, Reinhardt and colleagues analyzed 438 metastatic pulmonary lesions with diameters of 3–60 mm utilizing a fused FDG-PET/CT scan [10]. Overall, they showed that only 174 nodules (39.7%) were positive by FDG-PET. No nodules smaller than 5 mm were positive on FDG-PET but if the nodule diameter was greater than 13 mm, sensitivity was 100%. They concluded that FDG-PET sensitivity is significantly reduced for lesions with a diameter less than 11 mm. In another report, De Wever and colleagues found integrated FDG-PET/CT had a sensitivity of 100% compared to 83% for PET alone in nodules <10 mm, the majority of these nodules were 5–10 mm in diameter. In this particular study, the remarkably increased sensitivity came at the cost of a significant lowering of the specificity to only 5% [11].
The ability to detect a lesion by FDG-PET is dependent upon the presence of a sufficient number of metabolically active cells. This is explained by the physical mechanisms by which FDG-PET scanning is possible. 18F-Fluorodeoxyglucose has an excess in protons and as a consequence, it is unstable. Its decay occurs by releasing the excess protons, which collide with electrons, emitting two 511 keV photons in 180° opposing directions. The detection of these photons by the PET camera generates the image. The concomitant detection of background gamma photons limits the spatial resolution of small nodules [12,13]. In vitro the minimal detection limit of FDG-PET is about 106 cells, which corresponds to a tumor diameter of 1 mm. Therefore, other factors (i.e. respiratory movement, thickness of surrounding soft tissue and other structures, etc.) play a major role in limiting FDG-PET sensitivity, especially in the lower lung fields. [14] Intense research is being undertaken to minimize artifacts caused by respiratory motion in the acquisition of FDG-PET images, but no single technique has yet proven satisfactory. Thus FDG-PET remains unreliable for nodules less than 10 mm in maximum diameter.
The degree of FDG activity is directly related to glucose metabolism, which is increased in malignant cells. This has been confirmed in laboratory studies where cancerous pulmonary nodules have been shown to over-express Glut-1 (glucose transporter protein type I) and HK-II (hexokinase II) [15]. The over-expression of these molecules correlated with FDG-PET activity. In the same study, Mamede also demonstrated that progressive tumor differentiation led to decreased FDG-PET activity and that primary lung adenocarcinomas had lower FDG uptake than squamous cell carcinoma or metastatic adenocarcinoma. This data reinforces our own findings, at least in part, as we showed that squamous cell carcinoma and higher tumor grade metastases were associated with increased FDG-PET sensitivity.
We found by multivariate analysis that both cell type and nodule size affected the sensitivity of FDG-PET. In a recently published series from South Korea no such correlation was found. The authors tried to identify the contributing factors that explain why some malignant nodules
1 cm had low or absent 18F-FDG uptake [16]. One hundred and twenty-one (121) patients were analyzed in three groups: solitary versus multiple nodules, presence or absence of additional benign nodules, and imperceptible versus faint 18F-FDG uptake. On multiple regression analysis, none of the variables were statistically significant in distinguishing benign versus malignant nodules.
| 6. Conclusion |
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| Appendix A |
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Dr D. Wood (Seattle, WA): I am not surprised that PET doesnt have a higher sensitivity, but I guess I am a little surprised by the degree of lack of specificity. Is there anything in your patient population that you think might affect this? Is it because of a high degree of sensitivity in picking up nodules that might not otherwise be detected and then are negative on PET? Does it relate to your patient population having other diseases like fungal disease in the chest that may confound the reading of PET imaging? Do you have any reasons to think that some of this might be related to your patient population?
Dr Fortes: I think in a way it could be. Most of these patients had a dedicated CT of the chest performed, and we know that a dedicated CT with fine cuts is far better in detecting nodules than the FDG-PET combined CT scan. So I think that is one possibility.
In terms of fungal infections, if we are talking about other diagnoses that could give a false negative FDG-PET, we would be looking at specificity. In our study we didnt look at that at all. We wanted to focus on FDG-PET being used as a screening tool, and as a screening tool, sensitivity is mostly important. So I dont think confounding diseases were an issue here.
Dr F. Detterbeck (New Haven, CT): Interesting study. I want to perhaps challenge you. There is not really an accepted standard of what should be used for PET for smaller nodules. Some people use mediastinal background, some people use the lung, the background of normal lung, some people use attenuation-corrected images, some people use non-attenuation-corrected images. We just heard earlier that perhaps we should be looking at PET at two hours. There are many factors, and as we start looking at PET in smaller lesions, I think we need to explore these other factors. I imagine you havent done that, but I wanted to stimulate you to perhaps go back and look at your results and see if other factors could improve that sensitivity to a higher degree.
Dr H. Kim (Seoul, Korea): I wonder how much percent of the nodules include GGO lesions. Were they solid nodules or did they contain the GGO pattern?
Dr Fortes: These were all solid nodules. There were no GGOs included.
Dr Kim: 100% solid nodules?
Dr Fortes: Correct.
Dr H. Kara (Istanbul, Turkey): Did you know the data about the false negativity of the PET scan for distant metastases, because PET scans, as you stated, were from head to thigh, and obviously tibia and femur were omitted. Did you have any data about the false negativity?
Dr Fortes: No, we did not look at extrapulmonary metastases, only at pulmonary metastases.
Dr Wood: Just to follow up on that question, a major reason that we are using PET in the consideration of metastatic disease of the lung is to exclude metastatic disease elsewhere before we consider a patient for metastasectomy. Can you potentially impute what your conclusions from sensitivity within the chest might correspond to outside of the chest and how much reliability we can have on it for screening for extrathoracic metastatic disease?
Dr Fortes: That is definitely the mentality of our group in that, for these patients, FDG-PET should be used as a screening modality for extrathoracic disease in order to properly select patients for metastasectomy. In terms of the reliability of FDG-PET for that purpose, of course it will depend on the type of primary tumor, location, and the way it metastasizes. I cant give you specific numbers, but we know that FDG-PET has supplanted other modalities, including CT scan, for metastases of the abdomen, and also bone scans. So I think it is possible that the sensitivities for disease inside and outside of the chest are related, but in terms of definite numbers, I really cant quote you that.
| Footnotes |
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Presented at the 16th European Conference on General Thoracic Surgery, Bologna, Italy, June 8–11, 2008. | References |
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This article has been cited by other articles:
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L. Erhunmwunsee and T. A. D'Amico Surgical management of pulmonary metastases. Ann. Thorac. Surg., December 1, 2009; 88(6): 2052 - 2060. [Abstract] [Full Text] [PDF] |
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