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Pitfalls in the radiological response assessment of immunotherapy

  • Lucian Beer
  • Maximilian Hochmair
  • Helmut Prosch
Open Access
short review

Summary

Immunotherapies comprise of a class of cancer therapies that are increasingly used for treatment of several cancer entities. Active immunotherapies encompassing immune checkpoint inhibitors are the most widespread class of immunotherapies, with indications for melanoma, non-small lung cancer, renal cell carcinoma, urothelial carcinoma, head and neck squamous cell carcinoma, and Hodgkin’s lymphoma. Immune checkpoint inhibitors have demonstrated unique response patterns that are not adequately captured by traditional response criteria such das the Response Evaluation Criteria in Solid Tumors (RECIST) and World Health Organization criteria. Consequently, adaptions of these criteria have been released such as the immune-related RECIST and immune RECIST, which account for the specialities of immunotherapies. Immunotherapies can cause a distinct set of adverse events such as pneumonitis, colitis, and hypophysitis. In addition, atypical treatment response patterns termed pseudoprogression have been observed. Thereby, new or enlarging lesions appear after treatment start and mimic tumor progression, which is followed by an eventual decrease in total tumor burden. In this review article we will describe pitfalls in the radiological response assessment of immunotherapies, focusing on pseudoprogression and imaging appearances of common immune-related adverse events.

Keywords

Immune checkpoint inhibitor PD-1 inhibitor Pseudoprogression Hyperprogression Pneumonitis 

Cancer immunotherapy

For decades oncologists have used cytotoxic chemotherapeutics that directly kill tumor cells for anticancer treatment. Growing knowledge of cancer development and its underlying immunological mechanisms has led to the development of immunotherapies. To prevent the development of malignancies, the immune system is able to identify tumor-associated antigens and remove the identified neoplastic cells [1]. A loss of immunological reactivity to neoplastic cells is a hallmark step in the development of cancer that leads to the continued growth and ability to spread in the body. Immunotherapies take advantage of the body’s own antitumor activity and boost its activity to mount a more effective antitumor response.

Based on their mode of action, immunotherapies can be described as active or passive in nature. Whereas active immunotherapies activate humoral or cellular mediated immunity, passive immune therapies exert antitumor activity via the clearance of tumor cells by binding to passively applicated preformed antibodies or other immune system components.

Especially active immunotherapies have been recently in focus, as many new immunomodulatory drugs of this class have been approved for treatment of several different tumor entities in the past years. In 2011 the immune checkpoint inhibitor ipilimumab—approved for treatment of metastatic melanoma—marked the start of a revolution in anticancer treatments that was followed by the approval of immune-checkpoint inhibitors for the treatment of non-small cell lung cancer (NSCLC), renal cell cancer, urothelial carcinoma, head and neck cancer, and Hodgkin’s lymphoma in various stages [2, 3, 4, 5]. Multiple other malignancies (e. g., gastric cancer, hepatocellular cancer, ovarian cancer, mesothelioma) are currently under clinical investigation to evaluate the potential benefit of these drugs [6]. Immunotherapies are not only being used in clinical trials and as second- or third-line therapies, but also as a first-line treatment option [7]. This highlights the necessity not only for radiologist, but also for clinicians to become familiar with the characteristics of radiological response assessment.

Radiological response assessment

The most commonly used response assessment criteria for classical chemotherapeutics are the World Health Organization (WHO) criteria and Response Evaluation Criteria in Solid Tumors (RECIST) 1.0 published in 2000 and its update RECIST 1.1, released in 2009 [8]. Both classifications take into account morphological changes during therapy, whereas an increase in tumor size and/or the appearance of new lesions are seen as progressive disease (PD) and indicate treatment failure.

However, response patterns using immunotherapies can differ significantly to those from classical chemotherapies and an increase in tumor size and/or appearance does not always represent disease progression, but also can be a result of antitumor activity-driven immune cell infiltration and thus treatment response. Based on clinical data of 487 patients with advanced melanoma treated with ipililumab, a novel response pattern has been described and incorporated into the so-called immune related response criteria (irRC) [9]. Basically, four different forms of treatment response have been reported.
  1. 1.

    Reduction in tumor size after treatment initiation in comparison to baseline.

     
  2. 2.

    Initial increase of tumor size and/or new lesions followed to a decrease that meets criteria for partial or complete response in comparison to baseline.

     
  3. 3.

    Initial increase in tumor size and/or new lesions followed by a stable course.

     
  4. 4.

    Almost stable tumor size without any significant changes.

     

Whereas scenario one isn’t challenging for radiologists and clinicians, scenarios two and three can be easily misinterpreted as treatment failure using classical response criteria. These latter two phenomena are often referred to as “pseudoprogression” and are characterized by an initial increase of tumor burden and/or appearance of new lesions followed by subsequent decrease or stabilization of tumor burden [1, 10, 11].

Pseudoprogression

Pseudoprogression is a relatively uncommon phenomenon with an incidence of 4 to 10% in melanoma patients [5, 9, 10] and only 0.6 to 5% in NSCLC patients [12, 13] treated with immune checkpoint inhibitors. Therefore, in most cases, an increase of tumor size is due to treatment failure and true progression rather than being a pseudoprogression. In melanoma patients it has been shown that this phenomenon can occur in lymph nodes, but more commonly in non-nodal locations such as the kidneys, liver, lungs, peritoneum, adrenal gland, and chest and abdominal wall [14].

Pseudoprogression is challenging for both radiologists and clinicians, and, to date, there is no valid biochemical or radiological marker that can help to differentiate between true progression or hyperprogression and pseudoprogression [15].

Radiologically, although more frequently seen in the first weeks after treatment initiation, pseudoprogression can also be seen months after treatment initiation [16]. In addition, as pseudoprogression can lead to an increased metabolic activity, positron emission tomography (PET) imaging hampers reliable identification of pseudoprogressors.

The irRC as well as a modification of RECIST 1.1 for immune-based therapeutics (iRECIST) that were published in 2017 [17] were primarily designed for standardization of reporting and data collection in clinical trials, but not for routine clinical use and therefore helpful in an only limited field. Exemplarily, both criteria recommend a follow-up imaging to prove or rule out progression at 4 to 8 weeks after first progression. In Table 1 the characteristics of the RECIST 1.1, irRC, and iRECIST criteria are given (adapted to [9, 17]).
Table 1

Comparison of RECIST 1.1, irRC and iRECIST

 

RECIST 1.1

irRC

iRECIST

Complete Response

Disappearance of all target lesions or lymph nodes <10 mm in the short axis

Disappearance of all target lesions or lymph nodes in 2 consecutive observations not less than 4 weeks apart

Disappearance of all target lesions or lymph nodes <10 mm in the short axis

Partial Response

>30% decrease in tumor size or ≥15% decrease in tumor attenuation at CT, no new lesions

≥50% decrease in tumor burden compared with baseline in 2 observations at least 4 weeks apart

>30% decrease in tumor size or ≥15% decrease in tumor attenuation at CT, no new lesions

Progressive Disease

>20% increase of SPD of target lesions with an absolute increase of ≥5 mm, new lesions

≥25% increase of SLD compared with nadir (at any singe time point) in 2 consecutive observations at least 4 weeks apart

Differentiation between iUPD and iCPD (see below), iUPD can result in PR or CR

Stable Disease

None of the above

None of the above

None of the above

New Lesions

Results in PD

Results in PD that has to be confirmed in 2 observations at least 4 weeks apart

Results in iUPD and consequently in iCPD if additional new lesions appear or an increase of size of new lesions (>5 mm for SLD or any increase of non-target lesions)

Confirmation of PD

Not required (unless equivocal)

Required

Required

Consideration of clinical status

Not included in assessment

Not included in assessment

Clinical stability is considered in whether

treatment is continued after iUPD

RECIST 1.1. Response Evaluation Criteria in Solid Tumors; irRC Immune-Related RECIST; iRECIST immune RECIST; PD progressive disease; CR complete response; SD stable disease; iUPD unconfirmed immune PD; iCPD confirmed immune PD; SPD sum of the products of diameters

However, clinical data show that subsequent progression in size can even last for 12 weeks before starting to decrease [5]. Therefore, a follow-up scan at 4 weeks or even 8 weeks might be too early to rule out pseudoprogression and longer follow-up intervals are needed (Fig. 1). Further studies with larger numbers of patients that address these limitations of the current immune-related response criteria will hopefully yield guidelines for routine clinical use.
Fig. 1

Pseudoprogression in 54-year-old man with non-small cell lung cancer receiving immune checkpoint inhibitor therapy. a Coronary fluorodeoxyglucose positron emission tomopraphy/computed tomography (18F-FDG-PET/CT) imaging obtained before therapy demonstrate 18F-FDG avid malignant tumor in the right lung. b 5 weeks after treatment initiation tumor size and FDG uptake increased. Therapy was continued and 6 weeks thereafter tumor size shrinkage and a reduced 18F-FDG uptake were observed (c)

An initial increase of tumor burden followed by stabilization can be seen as a form of pseudoprogression and clinically described as “treatment beyond progression.” This can be the case in patients treated with tyrosine kinase inhibitors (TKI) who benefit from continuing treatment even in radiological PD [18], as well as in patients with immune checkpoint inhibitors who do not show worsening of their performance status.

Hyperprogression

Contrary to the above-mentioned conditions in which treatment continuation—although radiological disease progress—is beneficial, patients with immunotherapies can experience a severe progression of tumor burden referred as to hyperprogression. Hyperprogression is defined as an increase in tumor growth rate after treatment initiation by a factor of two [19, 20]. According to Champiat et al., up to 9% of patients with different histological tumor types treated with immune checkpoint inhibitors develop hyperprogression, which is associated with worse overall survival [20]. In general, hyperprogression more commonly effects elderly patients (<65 years old), without any a difference between histology’s of cancers including melanoma, colorectal, ovarian, biliary tract, urothelial carcinomas, and lymphomas [20].

A similar response pattern has been described after discontinuation of TKI therapies in patients with EGFR-mutant lung cancer and was termed “disease flare”[21, 22].

Imaging of immune-related adverse events

Radiologists must be able to recognize the unique spectrum of immune-related adverse reactions (irAE). In comparison with cytotoxic chemotherapy, irAEs are attributed to autoimmunity and infiltration of autoreactive T cells. They can occur in almost all organs and may be first identified on CT or fluorodeoxyglucose F18 (18F-FDG)-PET/CT performed for restaging and/or surveillance imaging. 18F-FDG-PET/CT is deemed to be more sensitive for the detection of irAEs and is able to identify them earlier than CT.

The most common irAEs are dermatologic, including vitiligo, rash, and erythema. irAEs detectable in radiological examinations are colitis, pneumonitis, thyroiditis, hepatitis, pancreatitis, hypophysitis, and arthritis [23, 24].

Colitis is more common in patients treated with ipililumab (8–38%) than in patients treated with nivolumab or pembrolizumab (1–20%) [25], and occurs typically 6–7 weeks after initiation of treatment. Three distinct types of immune-mediated colitis have been described, encompassing a diffuse colitis, segmental colitis, and an isolated rectosigmoidal colitis. Image findings of such are non-specific and include mesenteric hyperemia, bowel wall thickening, increased mucosal enhancement, and fluid-filled small or large bowel [26]. Imaging findings of hepatitis are also non-specific and similar to those seen in acute hepatitis including hepatomegaly, periportal tracking, reduced density in comparison to baseline, and periportal lymphadenopathy. Immune-mediated pancreatitis is rare, with an incidence below 1%. Imaging findings are an organomegaly, reduced density of the pancreas, and increased density of the peripancreatic fat. In 18F-FDG-PET/CT an increased FDG uptake had been described [23].

Whereas colitis is more common with ipililumab therapy, pneumonitis is more commonly seen with PD-1 inhibitors nivolumab and pembrolizumab [23]. According to a meta-analysis including 3232 patients treated with PD-1 inhibitors and 1806 patients with PD-L1 inhibitors (atezolizumab, durvalumab, and avelumab), it seems that PD-1 inhibitors have a higher incidence of pneumonitis compared with PD-L1 inhibitors [27]. According to Khunger et al., the incidence of pneumonitis treated with PD-1 inhibitors was 3.6% (95% CI 2.4–4.8%) as compared to 1.3% (0.8–1.9%) in patients treated with PD-L1 inhibitors. Pneumonitis can be a life-threating complication and therefore needs particular attention. According to the classification of the American Thoracic Society/European Respiratory Society for interstitial pneumonias, a recently published study of 20 patients with nivolumab-induced pneumonitis identified the following four CT patterns[28]: cryptogenic organizing pneumonia (COP) in 65% of patients (Fig. 2), non-specific interstitial pneumonia in 15% of patients, hypersensitivity pneumonia in 10%, and acute interstitial pneumonia (AIP)/acute respiratory distress syndrome (ARDS) in 10%. Radiologists should seek to differentiate pulmonary irAEs from other pulmonary pathologies such as bacterial pneumonias or radiation-induced toxicities. Individually this can be difficult, as the reaction patterns of the lung are limited and show a higher overlap between irAEs and non-irAE pathologies.
Fig. 2

Organizing pneumonia in a 53-year-old man with epithelial cell carcinoma showing patchy opacities in both lungs and sparing of the subpleural space

A special type of irAE is a sarcoid-like reaction that manifests with mediastinal und hilar lymphadenopathy and/or multiple micronodules or ground glass opacities [29]. Imaging features are characteristic; however, in clinical practice, the differentiation from PD, especially in pre-existing malignant mediastinal/hilar lymphadenopathy, might be challenging. In 18F-FDG-PET/CT imaging both micronodules and lymphadenopathy can show a considerably increase in FDG uptake (Fig. 3).
Fig. 3

Sarcoid-like reaction in a 77-year-old man with non-small cell lung cancer receiving immune checkpoint inhibitor therapy. ab Axial fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG-PET/CT) image obtained before therapy demonstrate a malignant right pleural effusion. c, d 4 weeks after treatment initiation, numerous intrapulmonary micronodules were detectable in both lungs, predominately right-sided. In addition, enlarged hilar/mediastinal lymph nodes with increased 18F-FDG newly developed, consistent with a sarcoid-like reaction. In contrast, malignant tumor burden resolved completely

Conclusion

Immunotherapies represent a new class of drugs that have considerably changed treatment strategies in advanced cancers. Based on the special demands of imaging, radiologists become more involved in the care of these patients through the interpretation of staging and restaging examinations. Radiologists have to be aware of the atypical tumor response pattern and common adverse events seen upon imaging of patients under immunotherapy treatment.

Notes

Acknowledgements

This study was supported by funds of the Oesterreichische Nationalbank (Oesterreichische Nationalbank, Anniversary Fund, grant number: 16886), “Fond für interdisziplinäre Krebsforschung der Stadt Wien,” and the Theodor Koerner Fond.

Funding

Open access funding provided by Medical University of Vienna.

Conflict of interest

H. Prosch received lecture fees from MSD, BMS and Roche. L. Beer and M. Hochmair declare that they have no competing interests.

References

  1. 1.
    Kwak JJ, et al. Cancer immunotherapy: imaging assessment of novel treatment response patterns and immune-related adverse events. Radiographics. 2015;35(2):424–37.CrossRefPubMedGoogle Scholar
  2. 2.
    Allen PB, Gordon LI. PD-1 blockade in Hodgkin’s lymphoma: learning new tricks from an old teacher. Expert Rev Hematol. 2016;9(10):939–49.CrossRefPubMedGoogle Scholar
  3. 3.
    Sonpavde G. PD-1 and PD-L1 inhibitors as salvage therapy for urothelial carcinoma. N Engl J Med. 2017;376(11):1073.  https://doi.org/10.1056/NEJMe1701182.CrossRefPubMedGoogle Scholar
  4. 4.
    Rizvi NA, et al. Activity and safety of nivolumab, an anti-PD-1 immune checkpoint inhibitor, for patients with advanced, refractory squamous non-small-cell lung cancer (CheckMate 063): a phase 2, single-arm trial. Lancet Oncol. 2015;16(3):257–65.CrossRefPubMedPubMedCentralGoogle Scholar
  5. 5.
    Nishino M, et al. Immune-related tumor response dynamics in melanoma patients treated with pembrolizumab: identifying markers for clinical outcome and treatment decisions. Clin Cancer Res. 2017;23(16):4671.  https://doi.org/10.1158/1078-0432.CCR-17-0114.CrossRefPubMedPubMedCentralGoogle Scholar
  6. 6.
    Thallinger C, et al. Review of cancer treatment with immune checkpoint inhibitors. Wien Klin Wochenschr. 2017;  https://doi.org/10.1007/s00508-017-1285-9.PubMedPubMedCentralGoogle Scholar
  7. 7.
    Remon J, et al. Immune-checkpoint inhibition in first-line treatment of advanced non-small cell lung cancer patients: current status and future approaches. Lung Cancer. 2017;106:70–5.CrossRefPubMedGoogle Scholar
  8. 8.
    Eisenhauer E, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer. 2009;45(2):228–47.CrossRefPubMedGoogle Scholar
  9. 9.
    Wolchok JD, et al. Guidelines for the evaluation of immune therapy activity in solid tumors: immune-related response criteria. Clin Cancer Res. 2009;15(23):7412–20.CrossRefPubMedGoogle Scholar
  10. 10.
    Chiou VL, Burotto M. Pseudoprogression and immune-related response in solid tumors. J Clin Oncol. 2015;33(31):3541–3.CrossRefPubMedPubMedCentralGoogle Scholar
  11. 11.
    Persigehl T, Poeppel T, Sedlaczek O. Radiologische Responsebeurteilung moderner Immuntherapien mithilfe von iRECIST. Radiologe. 2017;57(10):826–33.CrossRefPubMedGoogle Scholar
  12. 12.
    Borghaei H, et al. Nivolumab versus docetaxel in advanced nonsquamous non-small-cell lung cancer. N Engl J Med. 2015;373(17):1627–39.CrossRefPubMedPubMedCentralGoogle Scholar
  13. 13.
    Nishino M, et al. Tumor response dynamics of advanced non-small cell lung cancer patients treated with PD-1 inhibitors: imaging markers for treatment outcome. Clin Cancer Res. 2017;23(19):5737–44.CrossRefPubMedGoogle Scholar
  14. 14.
    Hodi FS, et al. Evaluation of immune-related response criteria and RECIST v1. 1 in patients with advanced melanoma treated with pembrolizumab. J Clin Oncol. 2016;34(13):1510–7.CrossRefPubMedPubMedCentralGoogle Scholar
  15. 15.
    Hochmair MJ, et al. Symptomatic pseudo-progression followed by significant treatment response in two lung cancer patients treated with immunotherapy. Lung Cancer. 2017;113:4–6.CrossRefPubMedGoogle Scholar
  16. 16.
    Kong BY, et al. Residual FDG-PET metabolic activity in metastatic melanoma patients with prolonged response to anti-PD-1 therapy. Pigment Cell Melanoma Res. 2016;29(5):572–7.CrossRefPubMedGoogle Scholar
  17. 17.
    Seymour L, et al. iRECIST: guidelines for response criteria for use in trials testing immunotherapeutics. Lancet Oncol. 2017;18(3):e143–e52.CrossRefPubMedPubMedCentralGoogle Scholar
  18. 18.
    Park K, et al. First-line erlotinib therapy until and beyond response evaluation criteria in solid tumors progression in asian patients with epidermal growth factor receptor mutation-positive non-small-cell lung cancer: the aspiration study. JAMA Oncol. 2016;2(3):305–12.CrossRefPubMedGoogle Scholar
  19. 19.
    Saâda-Bouzid E, et al. Hyperprogression during anti-PD-1/PD-L1 therapy in patients with recurrent and/or metastatic head and neck squamous cell carcinoma. Ann Oncol. 2017;28(7):1605.  https://doi.org/10.1093/annonc/mdx178.CrossRefPubMedGoogle Scholar
  20. 20.
    Champiat S, et al. Hyperprogressive disease is a new pattern of progression in cancer patients treated by anti-PD-1/PD-L1. Clin Cancer Res. 2016;23(8):1920.  https://doi.org/10.1158/1078-0432.CCR-16-1741.CrossRefPubMedGoogle Scholar
  21. 21.
    Iacovelli R, et al. Evidence and clinical relevance of tumor flare in patients who discontinue tyrosine kinase inhibitors for treatment of metastatic renal cell carcinoma. Eur Urol. 2015;68(1):154–60.CrossRefPubMedGoogle Scholar
  22. 22.
    Chaft JE, et al. Disease flare after tyrosine kinase inhibitor discontinuation in patients with EGFR-mutant lung cancer and acquired resistance to erlotinib or gefitinib: implications for clinical trial design. Clin Cancer Res. 2011;17(19):6298–303.CrossRefPubMedPubMedCentralGoogle Scholar
  23. 23.
    Widmann G, et al. Unerwünschte Wirkungen der Immuntherapie. Radiologe. 2017;57(10):840–9.CrossRefPubMedGoogle Scholar
  24. 24.
    Wang GX, et al. Immune checkpoint inhibitor cancer therapy: spectrum of imaging findings. Radiographics. 2017;37(7):2132–44.CrossRefPubMedGoogle Scholar
  25. 25.
    Kumar V, et al. Current diagnosis and management of immune related adverse events (irAEs) induced by immune checkpoint inhibitor therapy. Front Pharmacol. 2017;8:49.  https://doi.org/10.3389/fphar.2017.00049.CrossRefPubMedPubMedCentralGoogle Scholar
  26. 26.
    Kim KW, et al. Ipilimumab-associated colitis: CT findings. AJR Am J Roentgenol. 2013;200(5):W468–W74.CrossRefPubMedGoogle Scholar
  27. 27.
    Khunger M, et al. Incidence of pneumonitis with use of programmed death 1 and programmed death-ligand 1 inhibitors in non-small cell lung cancer: a systematic review and meta-analysis of trials. Chest. 2017;152(2):271–81.CrossRefPubMedGoogle Scholar
  28. 28.
    Nishino M, et al. PD-1 inhibitor-related pneumonitis in advanced cancer patients: radiographic patterns and clinical course. Clin Cancer Res. 2016;22(24):6051.  https://doi.org/10.1158/1078-0432.CCR-16-1320.CrossRefPubMedPubMedCentralGoogle Scholar
  29. 29.
    Carter BW, et al. Immunotherapy in non-small cell lung cancer treatment: current status and the role of imaging. J Thorac Imaging. 2017;32(5):300–12.CrossRefPubMedGoogle Scholar

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© The Author(s) 2018

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  1. 1.Department of Biomedical Imaging and Image-guided TherapyMedical University of ViennaViennaAustria
  2. 2.Respiratory Oncology UnitOtto-Wagner HospitalViennaAustria

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