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Year : 2014  |  Volume : 29  |  Issue : 2  |  Page : 65-73  

FLT PET-CT in evaluation of treatment response

1 Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, England
2 Cancer Centre, Mount Vernon Hospital, Northwood, England
3 Cancer Centre, Mount Vernon Hospital, Northwood; Department of Haematology, University College London Cancer Institute and University College Hospital, London, England

Date of Web Publication9-Apr-2014

Correspondence Address:
Bal Sanghera
Paul Strickland Scanner Centre, Mount Vernon Hospital, Rickmansworth Road, Northwood, HA6 2RN
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/0972-3919.130274

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Purpose: Review published studies to investigate the value of clinical 3-deoxy-3- 18 F-fluorothymidine (FLT) positron emission tomography (PET) in predicting response to treatment. Materials and Methods: Interrogate databases to identify suitable publications between 2007 and 2013 with a minimum of five patients. Articles within the inclusion criteria were reviewed with major findings reported leading to a descriptive analysis of FLT PET in therapy response. Results: Lesions investigated included glioma, head and neck, esophageal, lung, breast, gastric, renal, rectal, sarcomas, germ cell, lymphomas, leukemia, and melanoma resulting in a total of 34 studies analyzed. A variety of therapies were applied and dissimilar PET protocols were widespread making direct comparison between studies challenging. Though baseline, early and late therapy scans were popular particularly in chemotherapy regimes. Most studies investigated showed significantly reduced FLT uptake during or after therapy compared with pretreatment scans. Conclusion: Current evidence suggests FLT PET has a positive role to play in predicting therapy response especially in brain, lung, and breast cancers where good correlation with Ki-67 is observed. However, careful attention must be placed in undertaking larger clinical trials where harmonization of scanning and analysis protocols are strictly adhered to fully assess the true potential of FLT PET in predicting response to treatment.

Keywords: 18 F-fluorothymidine, positron emission tomography, predict, response, review, treatment

How to cite this article:
Sanghera B, Wong WL, Sonoda LI, Beynon G, Makris A, Woolf D, Ardeshna K. FLT PET-CT in evaluation of treatment response. Indian J Nucl Med 2014;29:65-73

How to cite this URL:
Sanghera B, Wong WL, Sonoda LI, Beynon G, Makris A, Woolf D, Ardeshna K. FLT PET-CT in evaluation of treatment response. Indian J Nucl Med [serial online] 2014 [cited 2022 Aug 18];29:65-73. Available from:

   Introduction Top

Ability to detect early treatment response has benefit for patients undergoing ineffective therapy particularly where apposite treatment options exist. Potential advantages include fast management changes leading to improved survival with reductions in toxicity and cost of healthcare expenditure from unsuccessful treatment or late possibly less effective 'salvage' therapy regimes. However, limitations with 2-deoxy-2-( 18 F) fluoro-D-glucose (FDG) positron emission tomography (PET) in treatment response [1],[2] promoted investigation of other PET imaging agents. [3] 3-Deoxy-3- 18 F-fluorothymidine (FLT) as a labeled analogue of thymidine has attracted attention for in vivo visualization and quantification of cell proliferation.

Greatly increased cell proliferation is a characteristic of many malignant lesions that may be exploited in FLT PET cancer imaging. Proliferating cells enable thymidine incorporation in DNA synthesis largely during the S-phase of the cell cycle by utilizing the salvage pathway. FLT enters cells via passive diffusion and active nucleoside transporters. It undergoes phosphorylation by the enzyme thymidine kinase 1 (TK1) and it is trapped intracellularly. TK1 activity can increase several fold in proliferating cells compared with those in a resting state. Furthermore malignant cells show overexpression of TK1, that is, higher TK1 activity compared with normal proliferating cells. Despite less than 1% FLT incorporation into DNA there is a correlation between FLT uptake, overexpression of TK1 activity, and cell proliferation. This correlation was confirmed irrespective of cancer type suggesting brain, lung, and breast cancers [4] showed the strongest correlation.

Exploiting the ability of FLT PET in measuring tumor proliferation was forwarded as a tool to predict early treatment response. [5],[6] In a time of global fiscal austerity where cancer imaging costs begin to overtake healthcare costs, for example, in USA [7] imaging algorithms with FLT PET may have great potential in managing patient treatment more effectively.

Accordingly this review provides an overall assessment of the role of FLT PET in treatment response through a descriptive analysis of published data. We mention limiting factors associated with FLT PET in therapy and suggest recommendations for future implementation.

   Materials and Methods Top

A comprehensive literature search using typical databases including PubMed, Medline, etc., was performed on peer-reviewed and published articles involving the use of FLT PET for therapy response in patients. Exclusion criteria included articles outside this remit, articles not published between 2007 and 2013, articles with less than five patients scanned, and articles not in English.

For all studies included in this review the respective full journal publication was interrogated. For each study patient demographics, PET imaging, and acquisition methodology along with tumor type, treatment, therapy regime, and results were collected and recorded.

Accepted publications were reviewed and major findings reported in the results section with a brief summation for each tumor.

   Results Top

A list of 34 FLT PET therapeutic clinical studies from 2007 to 2013 is depicted in [Table 1], [Table 2], [Table 3], [Table 4], [Table 5] and [Table 6]. These illustrate the number of patients (n) who underwent all scans in individual protocols, important scan parameters, and Ki-67 correlation status, for example, positive correlation: , no correlation found: , or correlation not attempted: N.a. Hazard ratio (HR) values used to describe risk in survival analysis are reported when performed in studies. Average standardized uptake value (SUV) measurements described in studies were defined as maximum, mean, and peak values (SUV max , SUV mean , and SUV peak , respectively). Statistical significance in studies was assumed for P ≤ 0.05.
Table 1: Glioma FLT PET therapy studies

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Table 2: Head and neck and esophageal FLT PET therapy studies

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Table 3: Lung FLT PET therapy studies

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Table 4: Breast FLT PET therapy studies

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Table 5: Gastric, renal, rectal, and sarcoma FLT PET therapy studies

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Table 6: Germ, lymphoma, leukemia, and melanoma FLT PET therapy studies

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Bevacizumab is a humanized monoclonal antibody inhibiting vascular endothelial growth factor (VEGF) used in therapy regimes. Recurrent high-grade glioma has been studied in such regimes integrated with a chemotherapeutic agent irinotecan. One FLT PET study with MRI scanning [8] showed PET scans acquired at 1-2 and 6 weeks posttherapy start yielded lesion FLT SUV mean that predicted overall survival (OS) (P = 0.006 and 0.002, respectively) compared with MRI (P = 0.06).

This observation was repeated in another similar study. [9] Despite comparable results between imaging modalities the most significant predictor of OS was 6 week FLT PET changes (HR: 10.05, P < 0.001) and for progression free survival (PFS) was 6 week FLT uptake (HR: 5.64, P = 0.001). In a different dynamic study, [10] again with the same treatment regime high correlation (r = 0.91) was observed between FLT tumor uptake and the kinetic parameter influx rate constant (Ki). This result highlighted the potential of simple FLT SUV to monitor treatment response and predict survival characteristics. Elsewhere early kinetic parameter changes [11] enabled patients to be categorized into OS (P = 0.001) and PFS (P = 0.006) groups with 100 and 88% classification accuracies, respectively. In summation, results from these studies are encouraging and support the potential of FLT for predicting treatment response in glioma with harmonized larger scale clinical trials.

Head and neck cancer

FDG and FLT scans were performed to assess radiotherapy treatment (RT) response in laryngeal cancer. [12] Tumor FDG SUV max and SUV mean were significantly higher (P = 0.0002 for both) compared with FLT. Nonetheless tumor-to-background ratios were similar and FLT had potential in monitoring response [Table 2]. Dynamic scanning established SUV max and SUV mean 45-60 min post injection (p.i.) accurately reflected initial FLT uptake [13] with significant decrease between pre and mid 10 Gy of chemoradiation therapy (CRT) in confirmed squamous cell carcinoma (SCC) head and neck patients. Again promise was demonstrated in SCC for predicting outcome to CRT [14] with significant differences in 3-year local control between residual accumulation and no-accumulation groups for posttreatment FLT (HR: 25.57, P < 0.0001) and FDG (HR: 6.06, P = 0.0081) scans.

Likewise significant FLT SUV max and SUV mean uptake reductions with treatment were seen [15] for oropharyngeal cancer and intensity-modulated RT (IMRT) with or without chemotherapy. Equally one study [16] during the first 2 weeks of various RT regimes with or without cisplatinum for SCC showed significant reductions in FLT SUV max ≥ 45% (P = 0.035) and in visually defined gross tumor volume (GTV vis ) ≥ median (P = 0.037) that agreed with improved 3 year disease free survival (DFS). Moreover improved 3 year locoregional control was seen with significant GTV vis decrease ≥ median (P = 0.021) in the 4 th week of treatment. In summation, results from these studies are encouraging and support the potential of FLT for predicting treatment response in head and neck cancer with harmonized larger scale clinical trials.

Esophageal cancer

Proliferative change was observed in esophageal SCC with RT [17] where patients experiencing delays in treatment exhibited apparent accelerated repopulation. [18] FLT also showed potential in monitoring bone marrow proliferation reduction with treatment (no proliferation seen at 10 Gy) along with promise of differentiating between residual disease and esophagitis. In summation, more work is required to establish the potential of FLT PET in esophageal cancer.

Lung cancer

FLT PET-CT has been applied most often where cancer growth blocking tyrosine kinase inhibitor drugs, for example, gefitinib and more recently erlotinib were used [Table 3].

In non-small-cell lung carcinoma (NSCLC) advanced adenocarcinoma patients demonstrated significant FLT PET SUV max reduction at 7 days following the start of gefitinib [19] that predicted responders from nonresponders (P < 0.001) by CT as did percentage changes in SUV max (P < 0.001). Elsewhere FLT scans after 1 week of erlotinib therapy predicted significantly prolonged PFS (HR: 0.31, P = 0.04) in NSCLC. [20] In contrast early FDG PET response predicted significantly longer PFS (HR: 0.23, P = 0.002), OS (HR: 0.36, P = 0.04) and non-progression following 6 weeks of therapy (P = 0.02). Again with NSCLC erlotinib therapy [21] PET showed partial metabolic response (PMR) at days 14 and 56 positively correlated with improved PFS with FDG and FLT. Conversely, only FDG PET day 14 PMR was significantly associated with improved OS (HR: 0.44, P = 0.03).

Similarly another study [22] utilizing different SUV showed FDG and FLT scans predicted PFS after 1 week of erlotinib irrespective of SUV used. FDG SUV at 1 week was more reliable for predicting early response, while 1 week FLT and 6 week FDG PET metabolic volume estimations had potential for response prediction. Furthermore short-term outcome to erlotinib in NSCLC could be predicted using a variety of SUV measurements [23] derived from 1 and 6 week residual FDG uptake (P < 0.05). Improved PFS was reflected in low residual FDG and FLT uptake observed early and late respectively during treatment. It was established FLT SUV max significantly correlated with both Ki-67 staining and microvessel density (MVD) (r = 0.550 and 0.633; P = 0.000 and 0.000, respectively) measured with a monoclonal antibody (CD105-MVD). [24] Those subjects with lower rather than higher CD105-MVD had longer median survival times (P = 0.046) enabling prediction of response to antiangiogenic therapy. More recently [25] baseline FDG and FLT SUV max <6.6 and <3, respectively were shown to be prognostic indicators (HR: 4.3, P < 0.001 and HR: 2.2, P = 0.027, respectively) correlating significantly with longer survival in metastatic NSCLC treated with erlotinib.

On the other hand FLT PET-CT has also been investigated with carbon ion RT due to potential advantages in dose distribution and relative biological effectiveness over conventional RT. In a NSCLC study [26] baseline FLT SUV max <3.7 acted as a significant prognostic indicator for both PFS (P = 0.003) and for cause-specific survival (P = 0.002). Though posttreatment uptake was complicated by the presence of radiation pneumonitis. Results from these studies are encouraging and support the potential of FLT for predicting treatment response in lung cancer with harmonized larger scale clinical trials.

Breast cancer

Dynamic FLT PET in breast cancer was investigated as a prognostic indicator [27] with high reproducibility seen in serial baseline scans (test-retest r ≥ 0.97). Decreased uptake 1 week after combination 5-fluorouracil, epirubicin, and cyclophosphamide (FEC) chemotherapy distinguished between complete response (CR), partial response (PR), and stable disease (SD) using changes in SUV at 90 min p.i. (P = 0.022) and K i (P = 0.022) [Table 4].

A different study performed kinetic scans at baseline and 2 weeks after starting the first or second cycle of docetaxel. [28] Familiar significant reductions were again seen in FLT SUV max and SUV mean here normalized to body surface area (P = 0.0002 and 0.0003, respectively), while mid therapy lesion response was predicted by significant reduction in tumor SUV mean (P = 0.004).

In another dynamic study, [29] FLT scans were performed prior to and after the first cycle of chemotherapy in locally advanced disease. Authors concluded tumor-to-whole blood ratio measurements exhibited less bias compared with SUV and accordingly were preferred for treatment response assessment.

An example of FLT PET breast cancer imaging during therapy is illustrated in [Figure 1] showing significant SUV max reduction (>39%) pretherapy (lower row images) versus 10 days after FEC chemotherapy start (upper row images). Sections shown depict the lesion FLT maximum uptake in each case with the lesion circled for identification. This patient had an excellent clinical response. Results from these studies are encouraging and support the potential of FLT for predicting treatment response in breast cancer with harmonized larger scale clinical trials.
Figure 1: Breast FLT PET-CT SUVmax reduction >39% pretreatment (lower row) compared with 10 days after start of the first cycle of chemotherapy (upper row). Drawn circles indicate lesion position on respective PET slices containing SUVmax. FLT = 3-Deoxy-3-18F-fluorothymidine, PET = positron emission tomography, CT = computed tomography, SUV = standardized uptake value, max = maximum

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Gastric cancer

FDG and FLT PET were used to image gastric cancer at baseline and 2 weeks following chemotherapy start. [30] FLT SUV mean reduced from 6.0 to 4.2 between baseline and 2 weeks scans, respectively. It was concluded poor prognosis was only associated with day 14 higher FLT SUV mean (HR: 1.53, P = 0.048) using a Martindale plot and with Ki-67 (HR: 0.97, P = 0.006) [Table 5]. Authors suggested the observation of relatively high proliferation and poor prognosis 2 weeks following therapy start may reflect chemoresistance. More work is required to establish the potential of FLT PET in gastric cancer.

Renal cancer

FLT PET scans were performed with renal cell cancer and other solid malignancies at baseline, during, and then one cycle after sunitinib withdrawal. [31] It was proposed significant SUV mean increase (P = 0.047) during withdrawal reflected VEGF receptor tyrosine kinase inhibitor withdrawal flare. Those with larger flare benefited least suggesting potential for predicting response to therapy. More data is required to establish the potential of FLT PET in renal cancer.

Rectal cancer

Dynamic FLT PET scans in rectal cancer [32] also showed significant decrease in tumor SUV mean between baseline and after 2 weeks CRT start (P < 0.005) with an additional decrease for the preoperative scan (P = 0.005). Changes observed however were not predictive of treatment response.

In another CRT study, [33] pretherapy staging FDG, baseline FLT PET, and 2 week posttherapy start FLT scans were performed. Pretherapy lesion SUV max from FLT and FDG scans were 6.1 ± 1.9 and 17.3 ± 12.7, respectively; while during therapy FLT SUV max was 2.6 ± 1.2. However, the percentage change in FLT SUV max during therapy for responders versus nonresponders was not significant (58.0 ± 22.9 vs 56.1 ± 23.3%, P = 0.40).

Authors demonstrated significantly improved DFS was equally predicted by high pretherapy FDG (SUV max ≥14.3), low during therapy FLT (SUV max <2.2), and high percentage change in FLT uptake (≥60%); with P < 0.05 for all values, respectively. More work is required to establish the potential of FLT PET in rectal cancer.

Soft tissue sarcoma

FLT PET was used to assess response in advanced soft tissue sarcomas with hyperthermic isolated limb perfusion (HILP) [34] where once more lesion SUV max and SUV mean reductions following therapy were significant (P = 0.0008 and 0.002, respectively). Pre HILP and high SUV mean correlated significantly albeit weakly with % necrosis after HILP (r = 0.64, P < 0.05); suggesting improved response with initially high uptake lesions. Similarly another study, [35] revealed a significant reduction in SUV peak between baseline and after neoadjuvant therapy (P < 0.001) that significantly correlated with tumor size change (r = 0.52; P = 0.02) and with tumor necrosis (r = -0.68; P = 0.001). In contrast, uptake changes did not predict histopathological response nor did after therapy FLT uptake reflect TK1 or Ki-67 staining. More work is required to establish the potential of FLT PET in soft tissue sarcoma.

Germ cell tumor

FDG and FLT PET scans were performed with chemotherapy in germ cell cancer, [36] confirming lesion SUV max and SUV mean decreased jointly after one cycle and after treatment using both tracers. However, this was without significance for distinguishing responders from nonresponders. Moreover FLT uptake did not significantly correlate with Ki-67 staining [Table 6]. The authors' conjecture this may possibly be interpreted a consequence of the inhomogeneous pathology of this disease where lesions can be composed of different histological layers having disparate proliferation characteristics. More work is required to establish the potential of FLT PET in germ cell cancer.


In non-Hodgkin's lymphoma (NHL), FLT scans [37] showed a significant decrease in lymphoma SUV mean compared with baseline, at 1 week (P < 0.001) and 6 weeks (P = 0.003) in one group imaged following treatment with cyclophosphamide-adriamycin-vincristine-prednisone (CHOP) chemotherapy with or without rituximab immunotherapy (R-CHOP). This result was replicated in a second group 2 days after CHOP (P = 0.004), but conversely was not true for rituximab used alone in the treatment regime. Similarly, this researcher investigated FLT PET prior to R-CHOP therapy in aggressive B-cell NHL [38] reporting initial lesion SUV mean significantly lower for those achieving CR compared with non-CR (P = 0.049). SUV max and SUV mean were also significantly lower (P = 0.002 and 0.012, respectively) in patient subgroups designated low risk compared with high risk defined by the International Prognostic Index (IPI) for survival of diffuse large B-cell lymphoma.

Furthermore, the same researcher studied FDG and FLT PET in mantle cell lymphoma [39] prior to treatment, while then performing repeat FLT scans 6 days after the start of immunochemotherapy. A 44 and 45% familiar decrease in FLT SUV max and SUV mean , respectively was observed 1 week after therapy start. Immunohistochemistry was performed in all PET positive patients based on the initial staging and the Ki-67 positive lymphoma cells score varied from 1 to 85%. Analysis showed a strong positive correlation between higher initial FLT uptake and higher Ki-67 proliferation (r = 0.91) suggesting potential for response monitoring. The results from these studies are encouraging and support the potential of FLT for predicting treatment response in lymphoma with harmonized larger scale clinical trials.


FLT PET was applied to acute myeloid leukemia at different time points (pretherapy and days 2, 4, 5, and 6 posttherapy) using bone marrow uptake analysis. [40] FLT SUV max and SUV mean were 0.8 and 3.6 for CR and 1.6 and 11.4 for resistant disease, respectively. Differences were statistically significant (P < 0.001) and independent of time point assessment suggesting potential to distinguish these clinical response groups as early as day 2 after therapy start. More work is required to establish the potential of FLT PET in leukemia.


FDG and FLT PET scanning were performed on patients with advanced disease pre and post anti-CTLA4 antibody tremelimumab treatment. [41] Significant increasing FLT SUV max and SUV mean in the spleen were demonstrated (P = 0.015 and 0.018, respectively), confirming proliferation changes in secondary lymphoid tissue posttreatment can be detected with this therapy regime. FLT PET scans to assess anticancer vaccination were performed on patients with regional lymph node (LN) metastases following intranodally injected dendritic cell (DC) vaccine therapy [42] at various time points following vaccination.

Authors speculated successful vaccination results in significantly increased proliferation of activated lymphocytes in proximal LNs allowing assessment of vaccine induced T and B cell immune cell responses. A significant increase was shown in LN SUV max (P < 0.05) for patients receiving additional intranodal vaccinations compared with controls. Results show promise for FLT PET to monitor increased proliferation to distinguish responders from nonresponders for vaccine therapy in cancer. However, more work is required to establish the potential of FLT PET in melanoma.

   Discussion Top

Some studies achieved treatment response prediction derived solely from baseline scans, for example, lung [25],[26] and NHL. [38] The vast majority of studies required statistically significant tumor uptake or metabolic volume parameters derived from combinations of baseline, during, and posttherapy scans to achieve this. However, there were exceptions, for example, using chemotherapy in germ cell cancer [36] possibly due to low adenosine triphosphate levels in GCT metastases. [43] Complex interactions possibly between neoadjuvant treatments with tissue in rectal cancer [32] were also proposed. Alternatively, multiple reasons were speculated by the author for failing to predict response in neoadjuvant treated sarcomas. [35] Furthermore, in many studies comparing FDG with FLT PET we see the complimentary nature of both tracers exhibited together rather than significant domination by either. Again there are exceptions, for example, in laryngeal cancer with RT [12] who questioned the value of both tracers.

Future routine general clinical use of FLT PET must be supported by robust repeatability and reproducibility data. This was corroborated using uptake and metabolic volume investigations in breast cancer [27] and NSCLC; [44],[45],[46] validating further studies using FLT.

In contrast, possible inconsistency using FLT PET to monitor tumor proliferation may arise from other reasons. For example uptake that is not solely driven by TK1, but includes other complex and competing factors such as endogenous thymidine, degrading metabolism of phosphorolated metabolites, DNA repair rates, and transport via human equilibrative nucleoside transporters (hENT) [47],[48],[49],[50] showed different transport mechanisms, that is, hENT1 and hENT1 dominated by passive diffusion influenced uptake of thymidine analogues [3] H-thymidine and 3 H-FLT, respectively in a human adenocarcinoma cell line. Those authors found difficulty in characterizing the relative importance between hENT1 and TK1 in dominating uptake and observed tracer concentrated in nonproliferating tumor cells, due to lower levels of TK1, which might have influence in PET studies.

We see a vast diversity in study protocols investigated. Limited patient numbers completed their full scan regime with treatment, for example, minimum of five mantle cell lymphoma subjects [39] to a maximum of 68 subjects with NSCLC [24] leading to potential for underpowered studies. FLT injected activity regimes ranged from 153 MBq (4.14 mCi) in breast cancer [27] to 555 MBq (15 mCi) in lung cancer [19] with variation in p.i. uptake times prior to scanning (30-90 min) along with dynamic, kinetic, and static imaging configurations. Two-dimensional (2D) and 3D scan protocols were observed while emission acquisition time per bed varied from 2 [17] to 10 min [40] and image reconstruction techniques included filtered-backprojection (FBP) and ordered subset expectation maximization (OSEM). Moreover scan timing in sequential imaging studies during therapy exhibited considerable variation for pretreatment scan time, for example, 1 day [19] compared with 10 days [22] and similarly with imaging posttreatment. Similar to FDG studies a number of publications utilized fasting prior to FLT scanning [12],[22],[20],[36] presumably to improve FLT uptake; though this is unproven.

We also observed an assortment of data analysis techniques, for example, SUV max , SUV mean , SUVpeak [30],[35],[42] and uptake derived lesion volume estimates [22] to investigate outcome correlations. Importance of image analysis parameters was addressed with FLT PET in solid malignancies [51] to reveal that choice of region of interest (ROI) influences both SUV peak and tumor response. Careful consideration should be taken in evaluating the efficacy of these factors for quantifying treatment response.

Accordingly we advocate a more unified approach towards application of FLT PET in evaluating treatment response. In the USA PET Response Evaluation Criteria in Solid Tumours (PERCIST) was proposed to standardize FDG PET functional response assessment. [52] Similarly in Europe guidelines [53] provide a minimum standard for acquisition and interpretation of FDG PET for tumor imaging focusing on optimization of diagnostic quality and quantification. Future, larger scale and adequately powered multicenter trials adopting such standards may provide a clinical evidence base of the true value of FLT PET in response monitoring. Thereby having potential to reduce bias in PET systematic reviews [54] and assisting in promoting the best current imaging strategy for the patient's welfare.

In some cases, FDG and FLT scans were performed on the same subject in studies. Under these circumstances favorable FDG results were included in this review for comparison to highlight potential advantages or disadvantages of using FLT in therapy response. It has been intimated FDG may be advantageous for monitoring cytotoxic effects arising from cell death, [55] while FLT may be beneficial for examining cytostatic responses. [56] Similar interest was expressed in a multifaceted investigational approach, for example, through studying the association of FLT PET uptake with other tumor dependent characteristics, for example, hypoxia, angiogenesis, apoptosis [57],[58] or MVD [24] etc., which is not yet fully established clinically.

With inclusion of other scanning modalities such comprehensive integrated molecular imaging strategies may succeed in developing personalized oncology [59] potentially to optimize outcome thereby overcoming current restricted 'one hat fits all' treatment policies. Despite concerns over FLT production/yield/cost, relatively low uptake, and surrogate proliferation status [60] evidence suggests FLT PET has a role to play within such a multi-focused functional imaging framework for monitoring tumor response. However, further work is required for full validation of PET tumor proliferation imaging with this labeled pyrimidine. [61]

   Conclusion Top

FLT PET in the context of treatment management is currently works in progress with real need for harmonization in future investigations. However, the evidence to date suggests promise for this proliferation tracer especially for brain, lung, and breast cancers where strong correlation with Ki-67 is observed. Larger scale multicenter trials are recommended to investigate the true potential of FLT in the treatment response pathway.

   References Top

1.Ben-Haim S, Ell P. 18F-FDG PET and PET/CT in the evaluation of cancer treatment response. J Nucl Med 2009;50:188-99.  Back to cited text no. 1
2.Weber WA. Assessing tumor response to therapy. J Nucl Med 2009;50:1S-10S.  Back to cited text no. 2
3.Lopci E, Fanti S. Molecular imaging in oncology. Recent Results Cancer Res 2013;187:371-400.  Back to cited text no. 3
4.Chalkidou A, Landau DB, Odell EW, Cornelius VR, O'Doherty MJ, Marsden PK. Correlation between Ki-67 immunohistochemistry and 18F-Fluorothymidine uptake in patients with cancer: A systematic review and meta-analysis. Eur J Cancer 2012;48:3499-513.  Back to cited text no. 4
5.Krohn KA, Mankoff DA, Eary JF. Imaging cellular proliferation as a measure of response to therapy. J Clin Pharmacol 2001:96S-103S.  Back to cited text no. 5
6.Hicks RJ. The role of PET in monitoring therapy. Cancer Imaging 2005;5:51-7.  Back to cited text no. 6
7.Yang Y, Czernin J. Contribution of imaging to cancer care costs. J Nucl Med 2011;52:86S-92S.  Back to cited text no. 7
8.Chen W, Delaloye S, Silverman DH, Geist C, Czernin J, Sayre J, et al. Predicting treatment response of malignant gliomas to bevacizumab and irinotecan by imaging proliferation with [18F] fluorothymidine positron emission tomography: A pilot study. J Clin Oncol 2007;25:4714-21.  Back to cited text no. 8
9.Schwarzenberg J, Czernin J, Cloughesy TF, Ellingson BM, Pope WB, Geist C, et al. 3'-deoxy-3'- 18F-fluorothymidine PET and MRI for early survival predictions in patients with recurrent malignant glioma treated with bevacizumab. J Nucl Med 2012;53:29-36.  Back to cited text no. 9
10.Schiepers C, Dahlbom M, Chen W, Cloughesy T, Czernin J, Phelps ME, et al. Kinetics of 3'-deoxy-3'- 18F-fluorothymidine during treatment monitoring of recurrent high-grade glioma. J Nucl Med 2010;51:720-7.  Back to cited text no. 10
11.Wardak M, Schiepers C, Dahlbom M, Cloughesy T, Chen W, Satyamurthy N, et al. Discriminant analysis of ¹ 8 F-fluorothymidine kinetic parameters to predict survival in patients with recurrent high-grade glioma. Clin Cancer Res 2011;17:6553-62.  Back to cited text no. 11
12.Been LB, Hoekstra HJ, Suurmeijer AJ, Jager PL, van der Laan BF, Elsinga PH. [18F] FLT-PET and [18F] FDG-PET in the evaluation of radiotherapy for laryngeal cancer. Oral Oncol 2009;45:e211-5.  Back to cited text no. 12
13.Menda Y, Boles Ponto LL, Dornfeld KJ, Tewson TJ, Watkins GL, et al. Kinetic analysis of 3'-deoxy-3'- (18) F-fluorothymidine ((18) F-FLT) in head and neck cancer patients before and early after initiation of chemoradiation therapy. J Nucl Med 2009;50:1028-35.  Back to cited text no. 13
14.Kishino T, Hoshikawa H, Nishiyama Y, Yamamoto Y, Mori N. Usefulness of 3'- deoxy-3'- 18F-fluorothymidine PET for predicting early response to chemoradiotherapy in head and neck cancer. J Nucl Med 2012;53:1521-7.  Back to cited text no. 14
15.Troost EG, Bussink J, Hoffmann AL, Boerman OC, Oyen WJ, Kaanders JH. 18F-FLT PET/CT for early response monitoring and dose escalation in oropharyngeal tumors. J Nucl Med 2010;51:866-74.  Back to cited text no. 15
16.Hoeben BA, Troost EG, Span PN, van Herpen CM, Bussink J, Oyen WJ, et al. 18F-FLT PET during radiotherapy or chemoradiotherapy in head and neck squamous cell carcinoma is an early predictor of outcome. J Nucl Med 2013;54:532-40.  Back to cited text no. 16
17.Yue J, Chen L, Cabrera AR, Sun X, Zhao S, Zheng F, et al. Measuring tumor cell proliferation with 18F-FLT PET during radiotherapy of esophageal squamous cell carcinoma: A pilot clinical study. J Nucl Med 2010;51:528-34.  Back to cited text no. 17
18.Withers HR, Taylor JM. Critical volume model. Int J Radiat Oncol Biol Phys 1993;25:151-2.  Back to cited text no. 18
19.Sohn HJ, Yang YJ, Ryu JS, Oh SJ, Im KC, Moon DH, et al. [18F] Fluorothymidine positron emission tomography before and 7 days after gefitinib treatment predicts response in patients with advanced adenocarcinoma of the lung. Clin Cancer Res 2008;14:7423-9.  Back to cited text no. 19
20.Zander T, Scheffler M, Nogova L, Kobe C, Engel-Riedel W, Hellmich M, et al. Early prediction of nonprogression in advanced non-small-cell lung cancer treated with erlotinib by using [(18)F] fluorodeoxyglucose and [(18) F] fluorothymidine positron emission tomography. J Clin Oncol 2011;29:1701-8.  Back to cited text no. 20
21.Mileshkin L, Hicks RJ, Hughes BG, Mitchell PL, Charu V, Gitlitz BJ, et al. Changes in 18F-fluorodeoxyglucose and 18F-fluorodeoxythymidine positron emission tomography imaging in patients with non-small cell lung cancer treated with erlotinib. Clin Cancer Res 2011;17:3304-15.  Back to cited text no. 21
22.Kahraman D, Scheffler M, Zander T, Nogova L, Lammertsma AA, Boellaard, et al. Quantitative analysis of response to treatment with erlotinib in advanced non-small cell lung cancer using 18F-FDG and 3'- deoxy-3'- 18F-fluorothymidine PET. J Nucl Med 2011;52:1871-7.  Back to cited text no. 22
23.Kobe C, Scheffler M, Holstein A, Zander T, Nogova L, Lammertsma AA, et al. Predictive value of early and late residual 18F-fluorodeoxyglucose and 18F-fluorothymidine uptake using different SUV measurements in patients with non-small-cell lung cancer treated with erlotinib. Eur J Nucl Med Mol Imaging 2012;39:1117-27.  Back to cited text no. 23
24.Yang W, Zhang Y, Fu Z, Sun X, Mu D, Yu J. Imaging proliferation of 18F-FLT correlated with the expression of microvessel density of tumour tissue in non-small-cell lung cancer. Eur J Nucl Med Mol Imaging 2012;39:1289-96.  Back to cited text no. 24
25.Scheffler M, Zander T, Nogova L, Kobe C, Kahraman D, Dietlein M, et al. Prognostic impact of [18F] fluorothymidine and [18F] fluoro-D-glucose baseline uptakes in patients with lung cancer treated first-line with erlotinib. PLoS One 2013;8:e53081.  Back to cited text no. 25
26.Saga T, Koizumi M, Inubushi M, Yoshikawa K, Tanimoto K, Fukumura T, et al. PET/CT with 3'- deoxy-3'- [18F] fluorothymidine for lung cancer patients receiving carbon-ion radiotherapy. Nucl Med Commun 2011;32:348-55.  Back to cited text no. 26
27.Kenny L, Coombes RC, Vigushin DM, Al-Nahhas A, Shousha S, Aboagye EO. Imaging early changes in proliferation at 1 week post chemotherapy: A pilot study in breast cancer patients with 3'-deoxy-3'- [18F] fluorothymidine positron emission tomography. Eur J Nucl Med Mol Imaging 2007;34:1339-47.  Back to cited text no. 27
28.Contractor KB, Kenny LM, Stebbing J, Rosso L, Ahmad R, Jacob J. [18F]-3'Deoxy 3'- fluorothymidine positron emission tomography and breast cancer response to docetaxel. Clin Cancer Res 2011;17:7664-72.  Back to cited text no. 28
29.Lubberink M, Direcks W, Emmering J, van Tinteren H, Hoekstra OS, van der Hoeven JJ. Validity of simplified 3'-deoxy-3'- [(18) f] fluorothymidine uptake measures for monitoring response to chemotherapy in locally advanced breast cancer. Mol Imaging Biol 2012;14:777-82.  Back to cited text no. 29
30.Ott K, Herrmann K, Schuster T, Langer R, Becker K, Wieder HA. Molecular imaging of proliferation and glucose utilization: Utility for monitoring response and prognosis after neoadjuvant therapy in locally advanced gastric cancer. Ann Surg Oncol 2011;18:3316-23.  Back to cited text no. 30
31.Liu G, Jeraj R, Vanderhoek M, Perlman S, Kolesar J, Harrison M. Pharmacodynamic study using FLT PET/CT in patients with renal cell cancer and other solid malignancies treated with sunitinib malate. Clin Cancer Res 2011;17:7634-44.  Back to cited text no. 31
32.Wieder HA, Geinitz H, Rosenberg R, Lordick F, Becker K, Stahl A. PET imaging with [18F] 3'- deoxy-3'-fluorothymidine for prediction of response to neoadjuvant treatment in patients with rectal cancer. Eur J Nucl Med Mol Imaging 2007;34:878-83.  Back to cited text no. 32
33.Dehdashti F, Grigsby PW, Myerson RJ, Nalbantoglu I, Ma C, Siegel BA. Positron emission tomography with [(18) f]-3'- deoxy-3'fluorothymidine (flt) as a predictor of outcome in patients with locally advanced resectable rectal cancer: A Pilot Study. Mol Imaging Biol 2013;15:106-13.  Back to cited text no. 33
34.Been LB, Suurmeijer AJ, Elsinga PH, Jager PL, van Ginkel RJ, Hoekstra HJ. 18F-fluorodeoxythymidine PET for evaluating the response to hyperthermic isolated limb perfusion for locally advanced soft-tissue sarcomas. J Nucl Med 2007;48:367-72.  Back to cited text no. 34
35.Benz MR, Czernin J, Allen-Auerbach MS, Dry SM, Sutthiruangwong P, Spick C, et al. 3'- deoxy-3'- [18F] fluorothymidine positron emission tomography for response assessment in soft tissue sarcoma: A pilot study to correlate imaging findings with tissue thymidine kinase 1 and Ki-67 activity and histopathologic response. Cancer 2012;118:3135-44.  Back to cited text no. 35
36.Pfannenberg C, Aschoff P, Dittmann H, Mayer F, Reischl G, von Weyhern C, et al. PET/CT with 18F-FLT: Does it improve the therapeutic management of metastatic germ cell tumors? J Nucl Med 2010;51:845-53.  Back to cited text no. 36
37.Herrmann K, Wieder HA, Buck AK, Schöffel M, Krause BJ, Fend F, et al. Early response assessment using 3'-deoxy-3'- [18F] fluorothymidine-positron emission tomography in high-grade non-Hodgkin's lymphoma. Clin Cancer Res 2007;13:3552-8.  Back to cited text no. 37
38.Herrmann K, Buck AK, Schuster T, Junger A, Wieder HA, Graf N, et al. Predictive value of initial 18F-FLT uptake in patients with aggressive non-Hodgkin lymphoma receiving R-CHOP treatment. J Nucl Med 2011;52:690-6.  Back to cited text no. 38
39.Herrmann K, Buck AK, Schuster T, Rudelius M, Wester HJ, Graf N, et al. A pilot study to evaluate 3'- deoxy-3'- 18F-fluorothymidine pet for initial and early response imaging in mantle cell lymphoma. J Nucl Med 2011;52:1898-902.  Back to cited text no. 39
40.Vanderhoek M, Juckett MB, Perlman SB, Nickles RJ, Jeraj R. Early assessment of treatment response in patients with AML using [(18) F] FLT PET imaging. Leuk Res 2011;35:310-6.  Back to cited text no. 40
41.Ribas A, Benz MR, Allen-Auerbach MS, Radu C, Chmielowski B, Seja E, et al. Imaging of CTLA4 blockade-induced cell replication with (18) F-FLT PET in patients with advanced melanoma treated with tremelimumab. J Nucl Med 2010;51:340-6.  Back to cited text no. 41
42.Aarntzen EH, Srinivas M, De Wilt JH, Jacobs JF, Lesterhuis WJ, Windhorst AD, et al. Early identification of antigen-specific immune responses in vivo by [18F]-labeled 3'- fluoro-3'- deoxy-thymidine ([18F] FLT) PET imaging. Proc Natl Acad Sci USA 2011;108:18396-9.  Back to cited text no. 42
43.Dimitrakopoulou-Strauss A, Strauss LG. The role of F-FLT in cancer imaging: Does it really reflect proliferation? Eur J Nucl Med Mol Imaging 2008;35:523-6.  Back to cited text no. 43
44.Shields AF, Lawhorn-Crews JM, Briston DA, Zalzala S, Gadgeel S, Douglas KA, et al. Analysis and reproducibility of 3'- Deoxy-3'- [18F] fluorothymidine positron emission tomography imaging in patients with non-small cell lung cancer. Clin Cancer Res 2008;14:4463-8.  Back to cited text no. 44
45.De Langen AJ, Klabbers B, Lubberink M, Boellaard R, Spreeuwenberg MD, Slotman BJ, et al. Reproducibility of quantitative 18F-3'- deoxy-3'- fluorothymidine measurements using positron emission tomography. Eur J Nucl Med Mol Imaging 2009;36:389-95.  Back to cited text no. 45
46.Cheebsumon P, van Velden FH, Yaqub M, Frings V, de Langen AJ, Hoekstra OS, et al. Effects of image characteristics on performance of tumor delineation methods: A test-retest assessment. J Nucl Med 2011;52:1550-8.  Back to cited text no. 46
47.Bading JR, Shields AF. Imaging of cell proliferation: Status and prospects. J Nucl Med 2008;49:64S-80S.  Back to cited text no. 47
48.Salskov A, Tammisetti VS, Grierson J, Vesselle H. FLT: Measuring tumor cell proliferation in vivo with positron emission tomography and 3'- deoxy-3'- [18F] fluorothymidine. Semin Nucl Med 2007;37:429-39.  Back to cited text no. 48
49.Barwick T, Bencherif B, Mountz JM, Avril N. Molecular PET and PET/CT imaging of tumour cell proliferation using F-18 fluoro-L-thymidine: A comprehensive evaluation. Nucl Med Commun 2009;30:908-17.  Back to cited text no. 49
50.Plotnik DA, Emerick LE, Krohn KA, Unadkat JD, Schwartz JL. Different modes of transport for 3H-thymidine, 3H-FLT, and 3H-FMAU in proliferating and nonproliferating human tumor cells. J Nucl Med 2010;51:1464-71.  Back to cited text no. 50
51.Vanderhoek M, Perlman SB, Jeraj R. Impact of the definition of peak standardized uptake value on quantification of treatment response. J Nucl Med 2012;53:4-11.  Back to cited text no. 51
52.Wahl RL, Jacene H, Kasamon Y, Lodge MA. From RECIST to PERCIST: Evolving considerations for PET response criteria in solid tumors. J Nucl Med 2009;50:122S-50S.  Back to cited text no. 52
53.Boellaard R, O'Doherty MJ, Weber WA, Mottaghy FM, Lonsdale MN, Stroobants SG, et al. FDG PET and PET/CT: EANM procedure guidelines for tumour PET imaging: Version 1.0. Eur J Nucl Med Mol Imaging 2010;37:181-200.  Back to cited text no. 53
54.Ware RE, Hicks RJ. Doing more harm than good? Do systematic reviews of PET by health technology assessment agencies provide an appraisal of the evidence that is closer to the truth than the primary data supporting its use? J Nucl Med 2011;52:64S-73S.  Back to cited text no. 54
55.Schwaiger M, Wester HJ. How many PET tracers do we need? J Nucl Med 2011;52:36S-41S.  Back to cited text no. 55
56.De Saint-Hubert M, Brepoels L, Mottaghy FM. Can evaluation of targeted therapy in oncology be improved by means of 18F-FLT? J Nucl Med 2010;51:1499-500.  Back to cited text no. 56
57.Kaira K, Oriuchi N, Sunaga N, Ishizuka T, Shimizu K, Yamamoto N. A systemic review of PET and biology in lung cancer. Am J Transl Res 2011;3:383-91.  Back to cited text no. 57
58.De Saint-Hubert M, Bauwens M, Verbruggen A, Mottaghy FM. Apoptosis imaging to monitor cancer therapy: The road to fast treatment evaluation? Curr Pharm Biotechnol 2012;13:571-83.  Back to cited text no. 58
59.Kalia M. Personalized oncology: Recent advances and future challenges. Metabolism 2013;62:S11-4.  Back to cited text no. 59
60.McKinley ET, Ayers GD, Smith RA, Saleh SA, Zhao P, Washington MK, et al. Limits of [18F]-FLT PET as a biomarker of proliferation in oncology. PLoS One 2013;8:e58938.  Back to cited text no. 60
61.Tehrani OS, Shields AF. PET Imaging of proliferation with pyrimidines. J Nucl Med 2013;54:903-12.  Back to cited text no. 61


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  [Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6]

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