Literature DB >> 26050655

PET/MRI and PET/CT in Lung Lesions and Thoracic Malignancies.

Paul Flechsig1, Amit Mehndiratta2, Uwe Haberkorn3, Clemens Kratochwil4, Frederik L Giesel5.   

Abstract

More than one decade ago, introduction of integrated PET/CT scanners changed oncologic imaging and oncologic patient management profoundly. With these systems, the metabolic information acquired by PET can be anatomically localized even to small structures such as small primary tumors, lymph nodes, and soft tissue masses owing to the high-resolution multidetector CT scanners. This has made PET/CT a most reliable method for tumor detection, characterization, staging, and response monitoring. The importance of an integrated functional and morphologic approach to better understand the biology of oncologic disease and to improve therapy planning is underlined by the increasing number of PET/CT systems worldwide, leading to an increasing number of scientific publications in the field. The paradigmatic indication of integrated PET/CT is staging of patients with lung cancer, as PET/CT allows for precise pretherapeutic staging and also posttreatment restaging according to the TNM criteria. The growing numbers of targeted therapy strategies in the fields of surgery, chemotherapy, and radiation therapy, which are adapted to dedicated tumor stages, require the exact classifications of each patient's tumor stage. In this context, whole-body examinations using integrated (18)F-FDG-PET/CT have been shown to reduce the side effects of futile invasive procedures and reduce additional costly staging procedures. In this review article, the diagnostic and therapeutic effects of PET/CT examinations are highlighted and compared with some competitive techniques such as scintigraphy, MRI, and, where possible, integrated PET/MRI.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26050655     DOI: 10.1053/j.semnuclmed.2015.03.004

Source DB:  PubMed          Journal:  Semin Nucl Med        ISSN: 0001-2998            Impact factor:   4.446


  7 in total

1.  FAPI-PET/CT improves staging in a lung cancer patient with cerebral metastasis.

Authors:  Frederik L Giesel; Claus Peter Heussel; Thomas Lindner; Manuel Röhrich; Hendrik Rathke; Hans-Ulrich Kauczor; Jürgen Debus; Uwe Haberkorn; Clemens Kratochwil
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-05-22       Impact factor: 9.236

2.  PET/CT Imaging of NSCLC with a αvβ6 Integrin-Targeting Peptide.

Authors:  Paul Flechsig; Thomas Lindner; Anastasia Loktev; Saskia Roesch; Walter Mier; Max Sauter; Michael Meister; Christel Herold-Mende; Uwe Haberkorn; Annette Altmann
Journal:  Mol Imaging Biol       Date:  2019-10       Impact factor: 3.488

3.  Impact of Computer-Aided CT and PET Analysis on Non-invasive T Staging in Patients with Lung Cancer and Atelectasis.

Authors:  Paul Flechsig; Ramin Rastgoo; Clemens Kratochwil; Ole Martin; Tim Holland-Letz; Alexander Harms; Hans-Ulrich Kauczor; Uwe Haberkorn; Frederik L Giesel
Journal:  Mol Imaging Biol       Date:  2018-12       Impact factor: 3.488

4.  68Ga-FAPI PET/CT: Tracer Uptake in 28 Different Kinds of Cancer.

Authors:  Clemens Kratochwil; Paul Flechsig; Thomas Lindner; Labidi Abderrahim; Annette Altmann; Walter Mier; Sebastian Adeberg; Hendrik Rathke; Manuel Röhrich; Hauke Winter; Peter K Plinkert; Frederik Marme; Matthias Lang; Hans-Ulrich Kauczor; Dirk Jäger; Jürgen Debus; Uwe Haberkorn; Frederik L Giesel
Journal:  J Nucl Med       Date:  2019-04-06       Impact factor: 10.057

5.  AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients.

Authors:  Pablo Borrelli; John Ly; Reza Kaboteh; Johannes Ulén; Olof Enqvist; Elin Trägårdh; Lars Edenbrandt
Journal:  EJNMMI Phys       Date:  2021-03-25

6.  Differentiating Central Lung Tumors from Atelectasis with Contrast-Enhanced CT-Based Radiomics Features.

Authors:  Rui Chai; Qi Wang; Pinle Qin; Jianchao Zeng; Jiwei Ren; Ruiping Zhang; Lin Chu; Xuting Zhang; Yun Guan
Journal:  Biomed Res Int       Date:  2021-11-15       Impact factor: 3.411

7.  Diagnostic Performance of Whole-Body PET/MRI for Detecting Malignancies in Cancer Patients: A Meta-Analysis.

Authors:  Guohua Shen; Shuang Hu; Bin Liu; Anren Kuang
Journal:  PLoS One       Date:  2016-04-28       Impact factor: 3.240

  7 in total

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