Abstract
Purpose
In patients with unresectable stage III non-small-cell lung cancer (NSCLC), durvalumab maintenance treatment after chemoradiotherapy (CRT) significantly improves survival. So far, however, metabolic changes of tumoral lesions and secondary lymphoid organs under durvalumab are unknown. Hence, we assessed changes on [18F]FDG PET/CT in comparison to patients undergoing CRT alone.
Methods
Forty-three patients with [18F]FDG PET/CT both before and after standard CRT for unresectable stage III NSCLC were included, in 16/43 patients durvalumab maintenance treatment was initiated (CRT-IO) prior to the second PET/CT. Uptake of tumor sites and secondary lymphoid organs was compared between CRT and CRT-IO. Also, readers were blinded for durvalumab administration and reviewed scans for findings suspicious for immunotherapy-related adverse events (irAE).
Results
Initial uptake characteristics were comparable. However, under durvalumab, diverging metabolic patterns were noted: There was a significantly higher reduction of tumoral uptake intensity in CRT-IO compared to CRT, e.g. median decrease of SUVmax –70.0% vs. –24.8%, p = 0.009. In contrast, the spleen uptake increased in CRT-IO while it dropped in CRT (median + 12.5% vs. –4.4%, p = 0.029). Overall survival was significantly longer in CRT-IO compared to CRT with few events (progression/death) noted in CRT-IO. Findings suggestive of irAE were present on PET/CT more often in CRT-IO (12/16) compared to CRT (8/27 patients), p = 0.005.
Conclusion
Durvalumab maintenance treatment after CRT leads to diverging tumoral metabolic changes, but also increases splenic metabolism and leads to a higher proportion of findings suggestive of irAE compared to patients without durvalumab. Due to significantly prolonged survival with durvalumab, survival analysis will be substantiated in correlation to metabolic changes as soon as more clinical events are present.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
The groundbreaking results of the PACIFIC trial have recently led to a new standard of care in patients with unresectable stage III non-small-cell lung cancer (NSCLC), consisting of a now strong recommendation for durvalumab consolidation after chemoradiotherapy [1,2,3]. Although durvalumab is a monoclonal antibody directed against the programmed death-ligand 1 (PD-L1), even NSCLC patients with a rather low tumoral PD-L1 expression benefit from durvalumab and the follow-up data of the PACIFIC trial confirm the overwhelming survival benefit across various patients [4,5,6,7].
Yet, little is known about the metabolic uptake patterns on [18F]FDG PET/CT in NSCLC patients undergoing durvalumab maintenance treatment. [18F]FDG is sensitive to increased tumoral metabolism and therefore enables an apprehension of vital tumor tissue and its distribution in the body on PET beyond merely morphological changes [8, 9]. Thus, [18F]FDG PET/CT is a preferred standard imaging modality for the staging of NSCLC and, in addition to therapy response assessment, holds value for local treatment planning in the context of chemoradiotherapy [10, 11]. However, [18F]FDG lacks specificity for vital tumor tissue while also being sensitive to diverse (auto-) inflammatory and reactive processes, such as present in the case of immunotherapy-related adverse events (irAE) [12]. Indeed, in the current era of evolving immunotherapeutic drugs including check point inhibitors such as durvalumab, several related imaging findings might be confounded as vital tumor and, for instance, hamper early therapy response assessment in NSCLC patients [13]. Also, diverging uptake characteristics inherent to the tumoral lesions under immunotherapy must be taken into account [14].
Hence, we here assessed metabolic changes of tumoral lesions and secondary lymphoid organs on [18F]FDG PET/CT in a homogenous cohort of patients with unresectable stage III NSCLC after durvalumab initiation in comparison to matched control patients undergoing CRT alone.
Methods
Patients
Forty-three patients with locally advanced, unresectable NSCLC stage IIIA–C in good functional condition (ECOG ≤ 1) and with available [18F]FDG PET/CT both before the initiation and after the completion of standard CRT were retrospectively included at a single tertiary cancer center. In 16/43 patients, durvalumab maintenance treatment was initiated in between the end of CRT and the second PET/CT (CRT-IO); the other 27/43 patients represent a matched control group (CRT). Minor parts of the CRT-IO cases were subject to prior separate analyses with a different scope [14]. All cases were histologically verified and (re-)classified according to the current 2018 UICC 8th edition. All patients received cranial contrast-enhanced magnetic resonance imaging (MRI) or computed tomography scan (CT). Routine blood work to assess kidney function and complete blood count as well as pulmonary function testing was performed in all cases, patients with poor lung function either on regular spirometry (FEV1 < 1 l) or on diffusion capacity testing (DLCO < 40%) and patients receiving long-term oxygen therapy were excluded from this study. Status of unresectability and treatment decisions were in all cases based on the recommendation of a multidisciplinary tumor board including experienced oncologists, pulmonologists, thoracic surgeons, and radiation oncologists.
16/43 patients received additional durvalumab maintenance treatment up to 12 months (i.e., 24 cycles à 10 mg/kg intravenously every 2 weeks). Durvalumab administration was stopped in the case of tumor progression or when intolerable toxicity was met according to Version 5 of the Common Toxicity Criteria for Adverse Events (CTCAE).
[18F]FDG PET/CT image acquisition
Acquisition of [18F]FDG PET/CT images was performed as previously described using imaging parameters as jointly recommend by the European Association of Nuclear Medicine (EANM), the Society of Nuclear Medicine and Molecular Imaging (SNMMI) and the European Society for Radiotherapy and Oncology (ESTRO) [10, 14, 15]. In brief, whole-body or torso PET image acquisition was started in the treatment position on a carbon fiber couch approx. 60 min after the administration of [18F]FDG and, whenever possible, of 10–20 mg furosemide and 10–20 mg butylscopolamine using a GE Discovery 690 PET/CT scanner (GE HealthCare, Chicago, IL, USA). PET imaging reconstruction was performed as previously described [14]. SUV quantification was based on total body weight. PET imaging was simultaneously acquired with a diagnostic CT scan after the administration of 350 mg of iomeprol (Imeron®) at 1.5 ml/kg body weight (portal-venous phase). All scans were performed at the same institution.
Data evaluation
Two experienced nuclear medicine physicians / radiologists evaluated the [18F]FDG PET/CT images. The maximum standardized uptake value (SUVmax) of tumoral lesions was assessed. Mean activity of the spleen (SUVspleen) and the bone marrow (SUVBM) were derived using a 3.0 cm and a 1.5 cm spherical VOI placed in the center of the spleen or in lumbar vertebrae, respectively. Here, the mean uptake of L4 and L5 served as bone marrow uptake; other lumbar vertebrae were only used in case of relevant (degenerative) changes in L4 and L5, e.g. compression fracture. Short and long axis diameter of tumor manifestations were measured on CT images. For estimation of the spleen volume, a three-dimensional approach using the product of the spleen length, maximal width, and thickness on CT images was used [16].
Moreover, readers were blinded for the administration of durvalumab and scans were reviewed for findings suspicious for immunotherapy-related adverse events (irAE).
All imaging data were evaluated using the Hybrid Viewer 3D software (Hermes Medical Solutions, Stockholm, Sweden).
Clinical parameters, outcome parameters, tumor progression
In addition to [18F]FDG PET/CT imaging parameters, patient characteristics were collected and included patients’ age, sex, tumor subtype according to histology, and UICC stage (IIIA-C). Progression-free survival (PFS) was defined according to RECIST 1.1 [17,18,19]. Overall survival (OS) was defined as the time from primary diagnosis until death. All [18F]FDG PET/CT-derived and further clinical parameters were correlated to PFS and OS.
Statistics
IBM SPSS Statistics was used for the statistical analysis (Version 26, IBM, Armonk, NY, USA). Descriptive statistics of continuous parameters are given as the median (range). The Shapiro–Wilk test was used to check for normal distribution. The Wilcoxon signed-rank test and the Mann–Whitney U were used to investigate group differences in dependent and independent, not-normally distributed continuous parameters, respectively. Linear bivariate associations were assessed using Pearson’s correlation. Continuous clinical and [18F]FDG PET/CT-derived parameters underwent median split dichotomization for survival analysis. The Kaplan–Meier estimator and log-rank test were applied for survival analysis of PFS and OS (results given as median survival with 95% confidence interval, CI). A two-tailed p-value < 0.05 was considered as statistically significant.
Results
Patient characteristics
In the overall group, median age was 67.5 years (33.6 – 76.9), 14/43 patients were female (32.6%). Patients receiving durvalumab maintenance treatment did not significantly differ from patients undergoing chemoradiotherapy alone regarding age (p = 0.090), sex (p = 0.889), tumor type according to histology (p = 0.583) and UICC stage (p = 0.594). The patient characteristics are displayed in Table 1.
The median time span between the first PET and the initiation of CRT was 0.8 months (IQR, 0.5–1.3 mo), the time span was slightly but significantly larger in CRT-IO vs. CRT alone (1.5 vs. 0.8 mo, p = 0.006). The median time span between the termination of CRT and the second PET was 3.1 months (IQR 2.0–5.0 mo) and it was slightly longer in CRT-IO compared to CRT alone (3.7 vs. 2.5 mo, p = 0.015). The median time span between the first PET and the second PET was 5.0 months (IQR 4.0–7.7 mo). In the CRT-IO group, the second PET took place 2.9 months (IQR 2.4–5.0 mo) after the initiation of durvalumab maintenance treatment.
Quantitative parameters assessed on [18F]FDG PET/CT
The tumoral lesions showed markedly increased glucose metabolism before the start of chemoradiotherapy (SUVmax 13.2 in the overall group) and the tumoral uptake intensity did not differ in between the CRT-IO and the CRT groups before durvalumab initiation (SUVmax 13.4 vs. 12.6, p = 0.439). The splenic uptake initially was comparable in both groups (SUVmean 2.1 vs. 2.1, p = 0.792), whereas the bone marrow uptake was slightly but significantly lower in the CRT-IO group (SUVmean 1.4 vs. 1.8, p = 0.022). There were no significant differences in spleen volumes in the two groups before durvalumab initiation (104.8 ml vs. 135.7 ml, p = 0.138).
After the completion of chemoradiotherapy and after durvalumab initiation, however, diverging metabolic patterns were noted in dependency of the durvalumab administration: A significantly higher reduction of tumoral uptake intensity was noted in the CRT-IO group compared to the CRT group, e.g. decrease of SUVmax –70.0% vs. –24.8%, p = 0.009. The spleen uptake, in contrast, increased in the CRT-IO group and dropped in the CRT group (median + 12.5% vs. –4.4%, p = 0.029). This was in line with a trend towards an increasing spleen volume in the CRT-IO group as opposed to a decreasing spleen volume in the CRT alone group (+ 14.1% vs. – 1.3%, p = 0.092) without reaching the level of significance. No diverging uptake was noted in the bone marrow (+ 6.0% vs. –3.0, p = 0.353).
All results of the quantitative assessment of [18F]FDG PET/CT parameters are displayed in Table 1.
Findings suggestive of irAE on [18F]FDG PET/CT
An increased rate of findings suggestive of irAE were noted in the CRT-IO group (12/16 patients, 75.0%) compared to the CRT group (8/27 patients, 29.6%), p = 0.005. Pneumonitis-typical imaging findings were the most common finding overall (in 27.9% of cases) as well as per group (CRT-IO: in 66.6%, CRT: in 14.8% of cases). Findings suggestive of gastritis, pleuritis, and sarcoid-like reaction were present in a higher proportion of patients of the CRT-IO group compared to the CRT group, and findings suggestive of thyroiditis, tonsillitis and vasculitis were only present in the CRT-IO group. Diagnostic findings suggestive of reactive changes in the colon occurred more frequently in the CRT group as compared to the CRT-IO group. Table 2 gives an overview of findings suggestive of an irAE on [18F]FDG PET/CT after durvalumab initiation in the CRT-IO group in comparison to CRT alone. Most suspected irAEs were either not or barely detectable using CT alone and instead primarily detected on the [18F]FDG PET imaging component. As far as documented in the patients’ history, a majority of those incidental findings were asymptomatic; most findings were not persistent on follow-up imaging in cases with available subsequent [18F]FDG PET/CT. In CRT-IO, only findings suggestive of pneumonitis in three cases and findings suggestive of gastritis in one case were persistent on the subsequent [18F]FDG PET/CT scan (available in 14/16 patients).
Figure 1 gives a pictorial example of a patient with an immunotherapy-related thyroiditis. Figure 2 gives a pictorial example of a patient who developed findings suggestive of an immunotherapy-related sarcoid-like reaction. Figure 3 gives a pictorial example of a patient who developed findings suggestive of a pneumonitis. Pneumonitis-typical imaging findings occurred in both the CRT-IO group and the CRT alone group, most likely as a direct effect of irradiation. Chronic obstructive pulmonary disease (COPD), as a factor influencing the course of pneumonitis, was equally distributed in both groups (p = 0.889).
Survival analysis in correlation to [18F]FDG PET/CT findings
Median OS was 50.0 months (18.6 – 81.4), median PFS was 8.0 months (4.8 – 11.2). Patients treated with durvalumab maintenance treatment survived significantly longer without progression (19.0 vs. 6.0 months, p = 0.008; see Fig. 4A) and had a significantly longer overall survival (median not reached vs. 26.0 months, p = 0.004; see Fig. 4B) compared to patients undergoing chemoradiotherapy alone.
In line with the significantly prolonged survival in the CRT-IO group, the number of recorded clinical events was low: 8/16 patients experienced tumor progression and only 2/16 patients had died until the time of last follow-up.
In the overall group, a higher tumoral uptake on [18F]FDG PET/CT prior to chemoradiotherapy was associated with a shorter PFS (7 vs. 19 months, p = 0.021). In a subgroup analysis, the latter association was not present in patients undergoing CRT alone (p = 0.893; see Fig. 4C). However, in patients receiving durvalumab maintenance treatment, the tumoral uptake prior to chemoradiotherapy was associated with survival: A high tumoral uptake above SUVmax 13.4 was associated with a shorter PFS (p = 0.008; see Fig. 4D). None of the other imaging parameters assessed was significantly associated with survival (each p > 0.05).
Discussion
There is only a paucity of reported data regarding [18F]FDG PET/CT findings in unresectable stage III NSCLC patients treated with CRT followed by durvalumab maintenance therapy. Here, we present the first preliminary data regarding metabolic uptake patterns on [18F]FDG PET/CT in unresectable stage III NSCLC patients receiving durvalumab maintenance treatment in comparison to patients undergoing CRT alone. Distinct metabolic changes were noted in tumoral lesions and secondary lymphoid organs. Further, administration of durvalumab was associated with a higher proportion of findings suggestive of immunotherapy related-adverse events.
In the current era of evolving immunotherapy with breakthrough successes in NSCLC, the role of accompanying accurate imaging is increasingly recognized and emphasized [20]. Promising work has focused on patient selection for immunotherapy and cutting edge tracers have been developed that directly address therapeutic targets such as PD-L1 in NSCLC [21,22,23]. However, an even greater clinical need is to gain a better understanding of how new immunotherapeutic treatments impact glucose metabolism as detected on [18F]FDG PET/CT: Decisions regarding therapy management in NSCLC commonly rely on interpretation of [18F]FDG PET/CT images, but may be hampered by immunotherapy-associated atypical imaging patterns [13, 24]. Whereas in other entities or with the use of different immune checkpoint inhibitors in NSCLC, altered imaging patterns have already been acknowledged [14, 25, 26], to our knowledge this is the first work to examine a distinct group of patients with unresectable stage III NSCLC treated with durvalumab maintenance therapy, which is the new standard of care in this cohort [3].
Diverging metabolic patterns were observed in secondary lymphoid organs of NSCLC patients dependent on durvalumab administration: The spleen uptake increased in the CRT-IO group as opposed to the CRT group (median + 12.5% vs. –4.4%, p = 0.029) and followed a trend of increasing spleen volume in the CRT-IO group (+ 14.1% vs. – 1.3% in the CRT alone group, p = 0.092). An increased spleen metabolism has been described as a surrogate of immune activation with the potential to stratify patients at an early time point, and spleen-related [18F]FDG uptake parameters on PET have been proposed as a prognosticator for patients under immunotherapy [27,28,29]. PD-1 is not only expressed on T cells being activated but also on B cells and even some non-hematopoietic cells, and the PD-1/PD-L1 axis interferes with multiples pathways of immune activation, thus explaining the increased spleen metabolism in the CRT-IO group [30, 31]. As the cohort was rather small and as few deaths were recorded due to substantially prolonged survival with durvalumab maintenance treatment, no subgroup analysis regarding immunotherapy response within the CRT-IO group could be performed. Studying melanoma patients, a significantly increased spleen metabolism was observed at 2 weeks in responders, while such a rise could not be observed in non-responders (+ 49% versus − 1%, p < 0.05), underscoring the potential value of an imaging-based surrogate parameter for immune activation which could enable a non-invasive early response prediction to immune checkpoint inhibition [32]. The highlighted value of the temporal aspect of metabolism in secondary lymphoid organs will be explored in NSCLC patients who receive durvalumab maintenance treatment, once more clinical events have occurred.
In line with a divergent glucose metabolism in secondary lymphoid organs as a sign of immune activation, a significantly higher proportion of findings suggestive of irAEs was noted in the CRT-IO group (75.0% vs. 29.6% of cases, p = 0.005). Pneumonitis-typical imaging findings were common in both groups, and pneumonitis is also known to occur as a direct sequela of irradiation independently from immunotherapy [33]. However, 50% of cases in the CRT-IO group showed imaging findings suggestive of a pneumonitis, which is remarkably higher compared to the previously reported prevalence of durvalumab-related pneumonitis and therefore indicates that [18F]FDG PET/CT might be a more sensitive approach to detect (potentially preceding clinically symptomatic) irAEs [34]. Only findings suggestive of reactive changes in the colon occurred more frequently in the CRT group, perhaps confounded by diabetes medication which can increase intestinal glucose metabolism [35]. All other findings suggestive of irAE including sarcoid-like reaction, thyroiditis, tonsillitis and vasculitis were more frequent compared to the CRT group or were observed exclusively in the CRT-IO group. An early or more sensitive detection of irAEs through [18F]FDG PET/CT could be clinically useful in two respects: First, early management of irAEs could reduce the rate and severity of complications [36]. Second, the occurrence of irAEs provides evidence to the treating physicians that the patient’s immune system has been successfully activated. As discussed above with regard to increased metabolism in secondary lymphoid organs, the occurrence of irAE could thus be an early, noninvasive predictor of response to immune checkpoint inhibition. However, whether an increased immune activation in terms of irAEs equates to increased antitumor immunity with a potentially improved survival outcome remains a controversial topic and needs to be elicited in future studies, also specifically regarding durvalumab maintenance treatment in NSCLC patients [37, 38].
Post-CRT uptake on [18F]FDG PET/CT has been shown to be associated with survival in locally advanced NSCLC [39]. Although an association of tumoral uptake with survival could be found in our cohort (a higher tumoral uptake on [18F]FDG PET/CT prior to chemoradiotherapy ± durvalumab was associated with a significantly shorter PFS), no statistically significant association with survival depending on the durvalumab administration could be found for post-treatment uptake or uptake changes over time. The possible reasons for the diverging association of a high tumoral uptake prior CRT with a short survival in between the two groups remain speculative. A study in patients with head and neck squamous cell carcinoma undergoing immunotherapy similarly revealed a lower [18F]FDG uptake on PET/CT prior to definitive therapy to be associated with a better clinical response and eventually linked this finding to the underlying mutational profile and hypoxia RNA signature [40]. In analogy, the initial pre-CRT level of [18F]FDG uptake found in our analysis might be a correlate for distinct inherent biological features of NSCLC predictive for the response to durvalumab. However, this hypothesis should not be over-emphasized due to the small number of patients in the CRT-IO group and the findings have to be confirmed in studies with larger data sets and hence higher statistical power. In general, the low number of clinical events recorded in the CRT-IO group, i.e. a low number of deaths, has probably hampered the identification of tumor-related imaging-based prognosticators in this cohort so far (only 12.5% of patients in the CRT-IO group died until the time of last follow-up). This is consistent with the groundbreaking survival benefit of durvalumab demonstrated in the PACIFIC trial, as recently confirmed in the updated five-year overall survival data with an estimated 42.9% of patients receiving durvalumab maintenance treatment after CRT remaining alive at 5 years [7]. Still, the tumoral uptake reduction was significantly higher in patients receiving durvalumab (SUVmax –70.0% vs. –24.8%, p = 0.009), allowing the assumption that post-treatment uptake may indeed be of prognostic relevance in the context of durvalumab in NSCLC. Survival analysis will be substantiated in correlation to metabolic changes as soon as more clinical events are present. Eventually, in this context, prospective correlational studies including imaging but also other modalities are needed to establish more reliable methods to characterize tumor response and control. A prospective longitudinal biomarker study evaluating immunological, molecular-genetic, image-based, and microbial analyses in patients with unresectable stage III NSCLC treated with concurrent chemoradiotherapy followed by durvalumab maintenance treatment is underway [41].
As an outlook, next steps may include a longitudinal investigation to establish a correlation of described immune-related surrogate imaging markers with peripheral expansion of corresponding T-cell subpopulations on several time points within durvalumab maintenance treatment, especially in PD-L1 tumor cells positive and negative patient cohorts. Further, an integration of durvalumab-specific hybrid imaging before and within durvalumab maintenance treatment will be of interest to clarify a predictive and prognostic role of PD-L1 positive durvalumab-avid tumor and immunocompetent cell populations [42, 43].
Conclusion
Durvalumab maintenance treatment after CRT leads to diverging tumoral metabolic changes, but also increases splenic metabolism and leads to a higher proportion of findings suggestive of irAE compared to patients without durvalumab. Due to significantly prolonged survival in the CRT-IO group, survival analysis will be substantiated in correlation to metabolic changes as soon as more clinical events are present.
Data availability
The datasets generated during and/or analyzed during the current study are mainly given in the manuscript. Further data may be available from the corresponding author on reasonable request.
References
Antonia SJ, Villegas A, Daniel D, Vicente D, Murakami S, Hui R, et al. Overall Survival with Durvalumab after Chemoradiotherapy in Stage III NSCLC. N Engl J Med. 2018;379:2342–50. https://doi.org/10.1056/NEJMoa1809697.
Antonia SJ, Villegas A, Daniel D, Vicente D, Murakami S, Hui R, et al. Durvalumab after Chemoradiotherapy in Stage III Non-Small-Cell Lung Cancer. N Engl J Med. 2017;377:1919–29. https://doi.org/10.1056/NEJMoa1709937.
Daly ME, Singh N, Ismaila N, Antonoff MB, Arenberg DA, Bradley J, et al. Management of Stage III Non-Small-Cell Lung Cancer: ASCO Guideline. J Clin Oncol. 2022;40:1356–84. https://doi.org/10.1200/jco.21.02528.
Chaft JE, Rimner A, Weder W, Azzoli CG, Kris MG, Cascone T. Evolution of systemic therapy for stages I-III non-metastatic non-small-cell lung cancer. Nat Rev Clin Oncol. 2021;18:547–57. https://doi.org/10.1038/s41571-021-00501-4.
Faivre-Finn C, Vicente D, Kurata T, Planchard D, Paz-Ares L, Vansteenkiste JF, et al. Four-Year Survival With Durvalumab After Chemoradiotherapy in Stage III NSCLC-an Update From the PACIFIC Trial. J Thoracic Oncol. 2021;16:860–7. https://doi.org/10.1016/j.jtho.2020.12.015.
Paz-Ares L, Spira A, Raben D, Planchard D, Cho BC, Özgüroğlu M, et al. Outcomes with durvalumab by tumour PD-L1 expression in unresectable, stage III non-small-cell lung cancer in the PACIFIC trial. Ann Oncol. 2020;31:798–806. https://doi.org/10.1016/j.annonc.2020.03.287.
Spigel DR, Faivre-Finn C, Gray JE, Vicente D, Planchard D, Paz-Ares L, et al. Five-Year Survival Outcomes From the PACIFIC Trial: Durvalumab After Chemoradiotherapy in Stage III Non-Small-Cell Lung Cancer. J Clin Oncol. 2022;40:1301–11. https://doi.org/10.1200/jco.21.01308.
Basu S, Hess S, Nielsen Braad PE, Olsen BB, Inglev S, Høilund-Carlsen PF. The Basic Principles of FDG-PET/CT Imaging. PET Clinics. 2014;9:355–70. https://doi.org/10.1016/j.cpet.2014.07.006.
Grootjans W, de Geus-Oei LF, Troost EG, Visser EP, Oyen WJ, Bussink J. PET in the management of locally advanced and metastatic NSCLC. Nat Rev Clin Oncol. 2015;12:395–407. https://doi.org/10.1038/nrclinonc.2015.75.
Vaz SC, Adam JA, Delgado Bolton RC, Vera P, van Elmpt W, Herrmann K, et al. Joint EANM/SNMMI/ESTRO practice recommendations for the use of 2-[(18)F]FDG PET/CT external beam radiation treatment planning in lung cancer V1.0. Eur J Nucl Med Mol Imaging. 2022;49:1386–406. https://doi.org/10.1007/s00259-021-05624-5.
Manapov F, Eze C, Holzgreve A, Käsmann L, Nieto A, Taugner J, et al. PET/CT for Target Delineation of Lung Cancer Before Radiation Therapy. Semin Nucl Med. 2022;52:673–80. https://doi.org/10.1053/j.semnuclmed.2022.05.003.
Aide N, Hicks RJ, Le Tourneau C, Lheureux S, Fanti S, Lopci E. FDG PET/CT for assessing tumour response to immunotherapy : Report on the EANM symposium on immune modulation and recent review of the literature. Eur J Nucl Med Mol Imaging. 2019;46:238–50. https://doi.org/10.1007/s00259-018-4171-4.
Eze C, Schmidt-Hegemann NS, Sawicki LM, Kirchner J, Roengvoraphoj O, Käsmann L, et al. PET/CT imaging for evaluation of multimodal treatment efficacy and toxicity in advanced NSCLC-current state and future directions. Eur J Nucl Med Mol Imaging. 2021;48:3975–89. https://doi.org/10.1007/s00259-021-05211-8.
Unterrainer M, Taugner J, Käsmann L, Tufman A, Reinmuth N, Li M, et al. Differential role of residual metabolic tumor volume in inoperable stage III NSCLC after chemoradiotherapy ± immune checkpoint inhibition. Eur J Nucl Med Mol Imaging. 2022;49:1407–16. https://doi.org/10.1007/s00259-021-05584-w.
Boellaard R, Delgado-Bolton R, Oyen WJ, Giammarile F, Tatsch K, Eschner W, et al. FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0. Eur J Nucl Med Mol Imaging. 2015;42:328–54. https://doi.org/10.1007/s00259-014-2961-x.
Cools L, Osteaux M, Divano L, Jeanmart L. Prediction of splenic volume by a simple CT measurement: a statistical study. J Comput Assist Tomogr. 1983;7:426–30. https://doi.org/10.1097/00004728-198306000-00007.
Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer (Oxford, England : 1990). 2009;45:228–47. https://doi.org/10.1016/j.ejca.2008.10.026.
Goebel J, Hoischen J, Gramsch C, Schemuth HP, Hoffmann AC, Umutlu L, et al. Tumor response assessment: comparison between unstructured free text reporting in routine clinical workflow and computer-aided evaluation based on RECIST 1.1 criteria. J Cancer Res Clin Oncol. 2017;143:2527–33. https://doi.org/10.1007/s00432-017-2488-1.
Seitz AK, Rauscher I, Haller B, Krönke M, Luther S, Heck MM, et al. Preliminary results on response assessment using (68)Ga-HBED-CC-PSMA PET/CT in patients with metastatic prostate cancer undergoing docetaxel chemotherapy. Eur J Nucl Med Mol Imaging. 2018;45:602–12. https://doi.org/10.1007/s00259-017-3887-x.
Unterrainer M, Ruzicka M, Fabritius MP, Mittlmeier LM, Winkelmann M, Rübenthaler J, et al. PET/CT imaging for tumour response assessment to immunotherapy: current status and future directions. Eur Radiol Exp. 2020;4:63. https://doi.org/10.1186/s41747-020-00190-1.
IC Kok, JS Hooiveld, PP van de Donk, D Giesen, EL van der Veen, MN Lub-de Hooge, et al. (89)Zr-pembrolizumab imaging as a non-invasive approach to assess clinical response to PD-1 blockade in cancer. Ann Oncol. 2022;33:80-8. https://doi.org/10.1016/j.annonc.2021.10.213.
Farwell MD, Gamache RF, Babazada H, Hellmann MD, Harding JJ, Korn R, et al. CD8-Targeted PET Imaging of Tumor-Infiltrating T Cells in Patients with Cancer: A Phase I First-in-Humans Study of (89)Zr-Df-IAB22M2C, a Radiolabeled Anti-CD8 Minibody. J Nucl Med. 2022;63:720–6. https://doi.org/10.2967/jnumed.121.262485.
Yao Y, Zhou X, Zhang A, Ma X, Zhu H, Yang Z, et al. The role of PET molecular imaging in immune checkpoint inhibitor therapy in lung cancer: Precision medicine and visual monitoring. Eur J Radiol. 2022;149:110200. https://doi.org/10.1016/j.ejrad.2022.110200.
Humbert O, Cadour N, Paquet M, Schiappa R, Poudenx M, Chardin D, et al. (18)FDG PET/CT in the early assessment of non-small cell lung cancer response to immunotherapy: frequency and clinical significance of atypical evolutive patterns. Eur J Nucl Med Mol Imaging. 2020;47:1158–67. https://doi.org/10.1007/s00259-019-04573-4.
Iravani A, Osman MM, Weppler AM, Wallace R, Galligan A, Lasocki A, et al. FDG PET/CT for tumoral and systemic immune response monitoring of advanced melanoma during first-line combination ipilimumab and nivolumab treatment. Eur J Nucl Med Mol Imaging. 2020;47:2776–86. https://doi.org/10.1007/s00259-020-04815-w.
Seban RD, Mezquita L, Berenbaum A, Dercle L, Botticella A, Le Pechoux C, et al. Baseline metabolic tumor burden on FDG PET/CT scans predicts outcome in advanced NSCLC patients treated with immune checkpoint inhibitors. Eur J Nucl Med Mol Imaging. 2020;47:1147–57. https://doi.org/10.1007/s00259-019-04615-x.
Prigent K, Lasnon C, Ezine E, Janson M, Coudrais N, Joly E, et al. Assessing immune organs on (18)F-FDG PET/CT imaging for therapy monitoring of immune checkpoint inhibitors: inter-observer variability, prognostic value and evolution during the treatment course of melanoma patients. Eur J Nucl Med Mol Imaging. 2021;48:2573–85. https://doi.org/10.1007/s00259-020-05103-3.
Schwenck J, Schörg B, Fiz F, Sonanini D, Forschner A, Eigentler T, et al. Cancer immunotherapy is accompanied by distinct metabolic patterns in primary and secondary lymphoid organs observed by non-invasive in vivo(18)F-FDG-PET. Theranostics. 2020;10:925–37. https://doi.org/10.7150/thno.35989.
Seban RD, Champion L, Schwartz LH, Dercle L. Spleen glucose metabolism on [(18)F]-FDG PET/CT: a dynamic double-edged biomarker predicting outcome in cancer patients. Eur J Nucl Med Mol Imaging. 2021;48:2309–11. https://doi.org/10.1007/s00259-020-05126-w.
Chen DS, Mellman I. Elements of cancer immunity and the cancer-immune set point. Nature. 2017;541:321–30. https://doi.org/10.1038/nature21349.
Liu J, Chen Z, Li Y, Zhao W, Wu J, Zhang Z. PD-1/PD-L1 Checkpoint Inhibitors in Tumor Immunotherapy. Front Pharmacol. 2021;12:731798. https://doi.org/10.3389/fphar.2021.731798.
F Seith, A Forschner, B Weide, B Gückel, M Schwartz, J Schwenck, et al. Is there a link between very early changes of primary and secondary lymphoid organs in (18)F-FDG-PET/MRI and treatment response to checkpoint inhibitor therapy? J Immunother Cancer. 2020;8. https://doi.org/10.1136/jitc-2020-000656.
Kuang Y, Pierce CM, Chang HC, Sosinsky AZ, Deitz AC, Keller SM, et al. Chemoradiation-induced pneumonitis in patients with unresectable stage III non-small cell lung cancer: A systematic literature review and meta-analysis. Lung Cancer (Amsterdam, Netherlands). 2022;174:174–85. https://doi.org/10.1016/j.lungcan.2022.06.005.
Naidoo J, Nishino M, Patel SP, Shankar B, Rekhtman N, Illei P, et al. Immune-Related Pneumonitis After Chemoradiotherapy and Subsequent Immune Checkpoint Blockade in Unresectable Stage III Non-Small-Cell Lung Cancer. Clin Lung Cancer. 2020;21:e435–44. https://doi.org/10.1016/j.cllc.2020.02.025.
Gontier E, Fourme E, Wartski M, Blondet C, Bonardel G, Le Stanc E, et al. High and typical 18F-FDG bowel uptake in patients treated with metformin. Eur J Nucl Med Mol Imaging. 2008;35:95–9. https://doi.org/10.1007/s00259-007-0563-6.
Martins F, Sofiya L, Sykiotis GP, Lamine F, Maillard M, Fraga M, et al. Adverse effects of immune-checkpoint inhibitors: epidemiology, management and surveillance. Nat Rev Clin Oncol. 2019;16:563–80. https://doi.org/10.1038/s41571-019-0218-0.
Postow MA, Sidlow R, Hellmann MD. Immune-Related Adverse Events Associated with Immune Checkpoint Blockade. N Engl J Med. 2018;378:158–68. https://doi.org/10.1056/NEJMra1703481.
Saleh K, Khalife-Saleh N, Kourie HR. Do immune-related adverse events correlate with response to immune checkpoint inhibitors? Immunotherapy. 2019;11:257–9. https://doi.org/10.2217/imt-2018-0201.
Machtay M, Duan F, Siegel BA, Snyder BS, Gorelick JJ, Reddin JS, et al. Prediction of survival by [18F]fluorodeoxyglucose positron emission tomography in patients with locally advanced non-small-cell lung cancer undergoing definitive chemoradiation therapy: results of the ACRIN 6668/RTOG 0235 trial. J Clin Oncol. 2013;31:3823–30. https://doi.org/10.1200/jco.2012.47.5947.
Vos JL, Elbers JBW, Krijgsman O, Traets JJH, Qiao X, van der Leun AM, et al. Neoadjuvant immunotherapy with nivolumab and ipilimumab induces major pathological responses in patients with head and neck squamous cell carcinoma. Nat Commun. 2021;12:7348. https://doi.org/10.1038/s41467-021-26472-9.
Käsmann L, Taugner J, Eze C, Nieto A, Pelikan C, Flörsch B, et al. Prospective evaluation of immunological, molecular-genetic, image-based and microbial analyses to characterize tumor response and control in patients with unresectable stage III NSCLC treated with concurrent chemoradiotherapy followed by consolidation therapy with durvalumab (PRECISION): protocol for a prospective longitudinal biomarker study. Transl Lung Cancer Res. 2022;11:1503–9. https://doi.org/10.21037/tlcr-21-1010.
Hegi-Johnson F, Rudd SE, Wichmann C, Akhurst T, Roselt P, Trinh J, et al. ImmunoPET: IMaging of cancer imMUNOtherapy targets with positron Emission Tomography: a phase 0/1 study characterising PD-L1 with (89)Zr-durvalumab (MEDI4736) PET/CT in stage III NSCLC patients receiving chemoradiation study protocol. BMJ Open. 2022;12:e056708. https://doi.org/10.1136/bmjopen-2021-056708.
Smit J, Borm FJ, Niemeijer AN, Huisman MC, Hoekstra OS, Boellaard R, et al. PD-L1 PET/CT Imaging with Radiolabeled Durvalumab in Patients with Advanced-Stage Non-Small Cell Lung Cancer. J Nucl Med. 2022;63:686–93. https://doi.org/10.2967/jnumed.121.262473.
Acknowledgements
This work has been presented as a Top Rated Oral Presentation (TROP) at the 35th Annual Congress of the European Association of Nuclear Medicine (EANM), held October 15-19, 2022 in Barcelona, Spain, and was short-listed for the EANM Young Authors’ Award.
Funding
Open Access funding enabled and organized by Projekt DEAL. Lena M. Unterrainer and Lukas Käsmann were supported by the Munich Clinician Scientist Program (MCSP).
Author information
Authors and Affiliations
Contributions
Farkhad Manapov and Marcus Unterrainer conceived and designed the study with the participation of Adrien Holzgreve, Julian Taugner, Lukas Käsmann and Chukwuka Eze. Material preparation, data collection and analysis were mainly performed by Adrien Holzgreve, Julian Taugner, Lukas Käsmann, Philipp Müller, Alexander E. Nieto, Chukwuka Eze, Farkhad Manapov and Marcus Unterrainer. Amanda Tufman, Niels Reinmuth, Minglun Li, Michael Winkelmann, Lena M. Unterrainer, Peter Bartenstein, Wolfgang G. Kunz, Jens Ricke and Claus Belka substantially assisted in acquisition, analysis, or interpretation of data. The first draft of the manuscript was written by Adrien Holzgreve with the assistance of Farkhad Manapov and Marcus Unterrainer. All authors revised the manuscript critically for important intellectual content and approved the final version.
Corresponding author
Ethics declarations
Ethics approval
The institutional review board of the Ludwig-Maximilians-Universität (LMU) approved the retrospective data analysis (#17–230). The study was conducted in compliance with the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) Guideline for Good Clinical Practice (GCP) and the declaration of Helsinki.
Consent to participate
All patients included in the study gave written consent for the PET/CT scans as part of the clinical routine.
Competing interests
Farkhad Manapov receives an unrestricted Research Institutional Grant from AstraZeneca. Farkhad Manapov receives honoraria from AstraZeneca, Novartis, Roche, Lilly, Elekta and Brainlab. Farkhad Manapov serves in the advisory board of AstraZeneca, Novartis. The remaining authors did not declare conflicts of interest related to this work.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This article is part of the Topical Collection on Oncology – Chest.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Holzgreve, A., Taugner, J., Käsmann, L. et al. Metabolic patterns on [18F]FDG PET/CT in patients with unresectable stage III NSCLC undergoing chemoradiotherapy ± durvalumab maintenance treatment. Eur J Nucl Med Mol Imaging 50, 2466–2476 (2023). https://doi.org/10.1007/s00259-023-06192-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00259-023-06192-6