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Published on: February 8, 2018
Immune Checkpoint Inhibitor Cancer Therapy: Spectrum of Imaging Findings
Gary X Wang1, Vikram Kurra1, Justin F Gainor1
1From the Departments of Radiology (G.X.W., V.K., S.I.L., F.J.F.) and Medicine (J.F.G., R.J.S., K.T.F.), Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, Founders 210, Boston, MA 02114.
Abstract:
Immune checkpoint inhibitors are a new class of cancer therapeutics that have demonstrated striking successes in a rapid series of clinical trials. Consequently, these drugs have dramatically increased in clinical use since being first approved for advanced melanoma in 2011. Current indications in addition to melanoma are non-small cell lung cancer, head and neck squamous cell carcinoma, renal cell carcinoma, urothelial carcinoma, and classical Hodgkin lymphoma. A small subset of patients treated with immune checkpoint inhibitors undergoes an atypical treatment response pattern termed pseudoprogression: New or enlarging lesions appear after initiation of therapy, thereby mimicking tumor progression, followed by an eventual decrease in total tumor burden. Traditional response standards applied at the time of initial increase in tumor burden can falsely designate this as treatment failure and could lead to inappropriate termination of therapy. Currently, when new or enlarging lesions are observed with immune checkpoint inhibitors, only follow-up imaging can help distinguish patients with pseudoprogression from the large majority in whom this observation represents true treatment failure. Furthermore, the unique mechanism of immune checkpoint inhibitors can cause a distinct set of adverse events related to autoimmunity, which can be severe or life threatening. Given the central role of imaging in cancer care, radiologists must be knowledgeable about immune checkpoint inhibitors to correctly assess treatment response and expeditiously diagnose treatment-related complications. The authors review the molecular mechanisms and clinical applications of immune checkpoint inhibitors, the current strategy to distinguish pseudoprogression from progression, and the imaging appearances of common immune-related adverse events. ©RSNA, 2017.
Insights
Immune checkpoint inhibitors offer new cancer treatments but can cause pseudoprogression, mimicking tumor growth. Radiologists must distinguish this from true progression and recognize immune-related adverse events for effective patient management.
Area of Science:
- Oncology
- Immunology
- Radiology
Background:
- Immune checkpoint inhibitors (ICIs) represent a significant advancement in cancer therapy, approved since 2011 for various malignancies including melanoma, lung, and renal cancers.
- Their clinical use has rapidly expanded due to demonstrated efficacy in numerous clinical trials.
- A subset of patients exhibits pseudoprogression, a transient increase in lesion size mistaken for tumor progression.
Purpose of the Study:
- To review the molecular mechanisms and clinical applications of immune checkpoint inhibitors.
- To outline strategies for differentiating pseudoprogression from true tumor progression.
- To describe the imaging features of immune-related adverse events associated with ICIs.
Main Methods:
- Review of current literature on immune checkpoint inhibitors.
- Analysis of treatment response patterns, including pseudoprogression.
- Description of imaging findings related to ICI therapy and adverse events.
Main Results:
- Immune checkpoint inhibitors have broad clinical applications but can lead to pseudoprogression, a pattern that mimics tumor progression.
- Distinguishing pseudoprogression from true progression requires careful interpretation of imaging over time.
- Immune checkpoint inhibitors are associated with a unique spectrum of potentially severe immune-related adverse events.
Conclusions:
- Radiologists play a critical role in assessing treatment response to immune checkpoint inhibitors.
- Accurate interpretation of imaging is essential to avoid misclassifying pseudoprogression as treatment failure.
- Knowledge of ICI mechanisms and potential adverse events is crucial for optimal patient care and management.
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