|Year : 2015 | Volume
| Issue : 1 | Page : 21-25
Role of FDG PET/CT in assessing response to targeted therapy in metastatic lung cancers: Morphological versus metabolic criteria
Ameya D Puranik, Nilendu C Purandare, Sneha Shah, Archi Agrawal, Venkatesh Rangarajan
Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital, Mumbai, Maharashtra, India
|Date of Web Publication||23-Dec-2014|
Dr. Venkatesh Rangarajan
Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital, Dr. Borges Road, Parel, Mumbai - 400 012, Maharashtra
Source of Support: None, Conflict of Interest: None
| Abstract|| |
Introduction: Targeted therapeutic agents are indicated in metastatic lung cancers. These being receptor specific therapies, manifestation of response can be best assessed by estimating the metabolic activity of tumor, rather than the size. This retrospective analysis studied metabolic and morphological response on Positron Emission Tomography (PET) and Computed Tomography (CT), respectively to these agents. Materials and Methods: Thirty-one patients (23 males, 8 females with an age range of 42-77 years) with Epidermal Growth Factor Receptor (EGFR) positive metastatic lung cancer on Gefitinib, who underwent PET/CT, at baseline and at 4-6 weeks, were assessed by Response Evaluation Criteria In Solid Tumors [RECIST] 1.1 and European Organization for Research and Treatment of Cancer (EORTC) criteria. Results: Concordance between RECIST 1.1 and EORTC was seen in 26 (83.7%) patients. Discordance was seen in 5 (16.3%) patients. In patients with discordance, the results were confirmed by follow-up imaging. Metabolic EORTC criteria changed the disease status from stable disease to partial response (3 out of 5) and progressive disease (2 out of 5) in these five patients. Conclusions: Metabolic criteria using PET/CT could accurately predict response as well as disease progression early in the course of targeted therapy, compared to morphologic criteria. In addition, early metabolic response assessment can predict refractoriness of therapy.
Keywords: Computed Tomography, Epidermal growth factor receptor, European organization for research and treatment of cancer, Gefitinib, Lung cancer, Response, Response evaluation criteria in solid tumors, Fluoro-deoxy glucose positron emission tomography
|How to cite this article:|
Puranik AD, Purandare NC, Shah S, Agrawal A, Rangarajan V. Role of FDG PET/CT in assessing response to targeted therapy in metastatic lung cancers: Morphological versus metabolic criteria. Indian J Nucl Med 2015;30:21-5
|How to cite this URL:|
Puranik AD, Purandare NC, Shah S, Agrawal A, Rangarajan V. Role of FDG PET/CT in assessing response to targeted therapy in metastatic lung cancers: Morphological versus metabolic criteria. Indian J Nucl Med [serial online] 2015 [cited 2021 May 10];30:21-5. Available from: https://www.ijnm.in/text.asp?2015/30/1/21/147529
| Introduction|| |
PET/CT is the recommended modality for staging of lung cancers. Standard approach towards patients with metastatic lung cancers is palliative oral chemotherapy with targeted agents. Treatment response to these agents is routinely assessed by comparing baseline and post-treatment CT scans, based on Response Evaluation Criteria In Solid Tumors ([RECIST] 1.1) criteria. However, these being receptor specific therapies, manifestation of response can be best assessed by estimating the metabolic activity of tumor, rather than the size. Based on this principle, we aimed at assessing the treatment response on metabolic imaging using FDG PET and comparing it with morphological criteria on CT.
| Materials and Methods|| |
Patients with metastatic non small cell lung carcinoma (NSCLC) of lung on targeted therapy who were referred to our department for a PET CT study prior to start of treatment and for a response evaluation after 4-6 weeks, between June 2010 and June 2013 were included in this retrospective evaluation. Written informed consent was obtained from all patients.
31 patients (23 males, 8 females) with metastatic (NSCLC) of lung who tested positive for epidermal growth factor receptor (EGFR) were included. These patients received EGFR tyrosine kinase (TK) inhibitor Gefitinib, 250 mg, orally. Independent evaluation was done by - contrast-enhanced CT component of PET/CT and PET component of fused 18 F-FDG PET/CT studies, at baseline and at 4-6 weeks post-therapy. Patient Characteristics are given in [Table 1].
EGFR mutation diagnostics were performed in all patients with samples suitable for molecular analysis.
Patients were asked to fast for 4-6 h prior to the study and blood glucose levels were checked and confirmed to be <150 mg/dl. The studies were performed 60-90 min following intravenous administration of 5 MBq/kg of 18F-FDG.
Image acquisition protocol
Imaging was performed on a Discovery ST PET-CT system (GE Medical), equipped with a 16 slice CT scanner with a dedicated PET (BGO crystal, dimensions 3.8 mm × 3.8 mm × 3.8 cm). CT was performed over 5 to 8 eight bed positions from skull base to mid-thigh. CT parameters included 140 kV, 110-210 mA, 0.8 s/rotation, pitch of 1.75:1, field of view [FOV] of 50 cm, length of scan 1.0-1.6 m, 0.625 spatial resolution and slice thickness of 3.75 mm. Intravenous and oral contrast was routinely administered in all patients, after confirming the serum creatinine levels. PET data was acquired sequentially in the same anatomic locations with 15.4 cm axial FOV acquired in 3D (three-dimensional) mode with 3 min/bed position.
Image reconstruction and interpretation
Images reconstruction was done using a standard reconstruction algorithm with ordered subset expectation maximization (OSEM). Image fusion was performed using coordinate based fusion software and transferred to the workstation that provided multi-planar reformatted images and displayed PET, CT, and PET-CT fusion images. Images were independently interpreted by a nuclear medicine physician and a radiologist who were blinded to each other's results. CT findings were analyzed using the RECIST 1.1 and the PET findings by European Organization for Research and Treatment of Cancer Criteria (EORTC) criteria.
Response criteria as per RECIST 1.1
Complete response (CR) indicates disappearance of all target lesions, partial response (PR) as 30% or more decrease in sum of diameters of target lesions, progressive disease (PD) as 20% or more increase in sum of diameters of target lesions and also an absolute increase of at least 5 mm and/or appearance of one or more new lesions, stable disease (SD) - who did not qualify for either sufficient shrinkage to qualify for PR nor sufficient increase to qualify for PD.
Response criteria as per EORTC criteria
Complete resolution of FDG uptake within the measurable target lesion so that it is indistinguishable from surrounding background, with the appearance of no new lesion, was labeled as complete metabolic response (CMR). Reduction of minimum of 15-25% of standardized uptake value (SUV) max in the target volume in the same lesion as the baseline measurement was grouped under partial metabolic response (PMR). Progressive metabolic disease (PMD) was a more than 25% increase in the SUV max of the FDG uptake or appearance of FDG avid new lesion/s that is/are morphologically typical of cancer. Stable metabolic disease (SMD) was disease which did not qualify for CMR, PMR, or PMD.
| Results|| |
31 patients of metastatic lung cancers, on targeted therapy underwent contrast enhanced PET CT were assessed using RECIST 1.1 New RECIST 1.1and EORTC criteria, respectively [Table 2].
Concordance [Figure 1] in response to targeted therapy was seen in 26 (83.4%) out of 31 patients, on metabolic and morphological criteria. Of these 26 patients, 4 patients showed PR/PMR, 10 patients showed SD/SMD and 12 patients showed PD/PMD.
|Figure 1: Concordance on metabolic and morphological imaging. There is significant reduction in size (1a and, b - arrow) and metabolic activity (max SUV) (1c, and d - arrow) seen on both axial CT component and axial fused PET/CT component, respectively; thus, partial response (PR) on RECIST is concordant with partial metabolic response (PMR), according to EORTC criteria|
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Discordance in response to targeted therapy was seen in 5 (16.6%) patients.
Of these, three showed SD on RECIST 1.1 and PMR on EORTC criteria. All the three patients showed complete metabolic and morphological regression in metastatic sites, namely in left supraclavicular nodes [Figure 2] in two patients and contralateral nodule in one patient. However, at the primary site, CT images showed no significant change in size - SD on RECIST 1.1. But on corresponding PET images, significant regression was seen in SUV max values - PMR on EORTC criteria. Follow-up imaging either with CT or PET/CT after 2 months showed no further change in disease status.
|Figure 2: Discordance on metabolic and morphological imaging. There is no significant interval change in size on axial CT images (2b and e - arrow). However, coronal maximum intensity projection (MIP) (2a and d - arrow) and axial fused PET/CT (2c and f- arrow) images show significant regression in metabolic activity Coronal MIP (2a - arrowhead) also demonstrates tracer uptake in left supraclavicular node (arrowhead), which completely regresses on post-treatment MIP image. Thus stable disease (SD) on RECIST is discordant with EORTC criteria, which show partial metabolic response (PMR)|
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Two patients showed SD on RECIST 1.1 and PMD on EORTC metabolic criteria. New focal FDG avid marrow lesions [Figure 3] were seen in both these cases, whereas CT images were unremarkable, thus making the disease status as SD on RECIST 1.1 and PMD on EORTC criteria.
|Figure 3: Discordance on metabolic and morphological imaging. Baseline and post Gefitinib axial CT (3a and d) and fused PET/CT (3b and e) images in soft tissue window show no interval change in size and metabolic activity of primary lung mass. Focal FDG uptake in the marrow of right pubic bone (3f - arrow) is a new finding However, axial CT - baseline and post-treatment images in bone window show no demonstrable lesion, thus patient has stable disease (SD) by RECIST. However, new hypermetabolic metastatic marrow lesion is suggestive of progressive metabolic disease (PMD) on EORTC criteria|
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Follow-up imaging either with CT or PET/CT after 2 months in these patients showed further metabolic and morphological disease progression.
| Discussion|| |
Targeted therapy has evolved as a critical therapeutic strategy in treatment of metastatic NSCLC. TK inhibitors like Gefitinib targeting the EGFR can improve progression-free survival (PFS) and overall survival (OS) in receptor positive patients with these cancers. ,, Moreover, translational studies have shown that 18F-FDG uptake decreased within 2 h in H3255 cell lines having EGFR mutations after incubation with 0.2 mM of Gefitinib. This was due to translocation of glucose transporters from the cell membrane to the cytoplasm. Similar results were seen on 18F-FDG tumor uptake in animal experiments after only two doses of Gefitinib.  This forms the molecular basis of the utility of FDG PET for assessing response to targeted therapy, especially in receptor positive lung cancers.
It is well-known that metabolic response demonstrated by FDG PET-CT well precedes the anatomic response and has been well-documented in the existing literature.  Metabolic response on PET is manifested by decrease in the glycolytic activity of tumor, whereas anatomic response criteria which are based on size of the tumor, lag weeks and months behind the metabolic response.  Conventionally, NSCLC is an FDG avid tumor and PET/CT is routinely indicated for staging this cancer. , Hence, metastatic burden can be assessed and depending on EGFR status, metastatic cancers can be subjected to targeted therapy. The clinical end point of the targeted agents is to achieve a prolonged stable disease rather than tumor shrinkage.  Thus, lack of progression is associated with good improvement in outcome, even in the absence of partial or complete response.  As a result, standard size-based assessment of response to these therapies using RECIST underestimates therapeutic activity. This forms the basis of use of metabolic parameters using PET for treatment response assessment.
Criteria for metabolic response assessment have been evolving and improving - with PET Response Criteria in Solid Tumors (PERCIST) criteria being followed in all recent studies. Skougaard et al. compared EORTC and PERCIST criteria for response assessment in metastatic colorectal cancer, concluding that both criteria gave similar response and survival outcomes with good agreement. 
Metabolic response on PET also impacts the survival statistics in patients with metastatic lung cancer; patients with progressive metabolic disease (PMD) on post-treatment PET study showing shorter time to progression and overall survival (OS) compared to patients with SMD or with partial PMR or complete CMR metabolic response.  Our data, though in a small cohort of three patients with PMD on FDG PET showed similar results. Further metabolic and morphological progression seen on follow-up imaging.
In addition, early assessment on FDG PET is also a predictor of response to targeted therapy; PMD suggestive of refractoriness of targeted agents in spite of EGFR receptor positivity.  Early prediction of therapeutic failure not only warrants change of treatment, but also avoids unnecessary expenditure and potential toxicity.
Our study highlights the utility of metabolic imaging in metastatic lung cancers, not only for treatment effectiveness of therapy, but also for early assessment of refractoriness.
Though the number of patients is limited, results obtained warrant further assessment with a larger cohort. Furthermore, in addition to follow-up imaging, survival statistics would make the study more robust.
| Conclusion|| |
Metabolic criteria using PET/CT could accurately predict response as well as disease progression early in the course of targeted therapy, compared to morphologic criteria on CT scan. Hence, functional imaging with FDG PET provides a more definitive evidence of response to targeted therapy and disease status, unlike conventional anatomical imaging.
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[Figure 1], [Figure 2], [Figure 3]
[Table 1], [Table 2]