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Hybrid Imaging for Tumours of the Chest

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Abstract

Lung cancer (LC) is a fairly common malignancy. Cancer stage at diagnosis, which refers to the extent of a cancer in the body, determines treatment options and has a strong influence on the length of survival. Diagnostic imaging for patients with lung cancer includes, among other imaging tests, CT and [18F]FDG PET. Integrated PET/CT systems have greatly changed the management algorithms of oncologic patients and have completely changed the paradigm of oncologic imaging. [18F]FDG PET/CT has been extensively studied in lung cancer and there is evidence showing its utility in patient management decisions. Furthermore, personalised medicine is based on tailoring treatments to the individual patient, in order to increase the probability of cure and at the same time reduce the probability of unnecessary secondary effects. For this reason, it is of utmost importance to have tools that provide an early and precise assessment of response to therapy. Early assessment of response to therapy can help tailor treatments in order to continue treatments in responding patients, and discontinue treatments and change to second-line treatments in non-responders. Current evidence in this setting shows that the [18F]FDG PET/CT response is probably earlier and more accurate than the CT response.

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Authors and Affiliations

  1. Department of Diagnostic Imaging and Nuclear Medicine, University Hospital San Pedro and Center for Biomedical Research of La Rioja (CIBIR), Logroño, La Rioja, Spain

    Roberto C. Delgado Bolton

  2. Department of Pathology, University Hospital Marqués de Valdecilla (HUMV), Santander, Cantabria, Spain

    Adriana K. Calapaquí Terán

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Editors and Affiliations

  1. Regional Center of Nuclear Medicine, Department of Translational Research and Advanced Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy

    Duccio Volterrani

  2. Regional Center of Nuclear Medicine, Department of Translational Research and Advanced Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy

    Paola Anna Erba

  3. Hosp. Sant Pau, Nuclear Medicine Department, Autonomous University of Barcelona, Barcelona, Spain

    Ignasi Carrió

  4. Molecular Imaging and Therapy Department, Cornell University Weill, New York, NY, USA

    H. William Strauss

  5. Regional Center of Nuclear Medicine, Department of Translational Research and Advanced Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy

    Giuliano Mariani

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Delgado Bolton, R.C., Calapaquí Terán, A.K. (2019). Hybrid Imaging for Tumours of the Chest. In: Volterrani, D., Erba, P.A., Carrió, I., Strauss, H.W., Mariani, G. (eds) Nuclear Medicine Textbook. Springer, Cham. https://doi.org/10.1007/978-3-319-95564-3_22

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