Literature DB >> 22582048

Oncologic PET/MRI, part 1: tumors of the brain, head and neck, chest, abdomen, and pelvis.

Christian Buchbender1, Till A Heusner, Thomas C Lauenstein, Andreas Bockisch, Gerald Antoch.   

Abstract

In oncology, staging forms the basis for prognostic consideration and directly influences patient care by determining the therapeutic approach. Cross-sectional imaging techniques, especially when combined with PET information, play an important role in cancer staging. With the recent introduction of integrated whole-body PET/MRI into clinical practice, a novel metabolic-anatomic imaging technique is now available. PET/MRI seems to be highly accurate in T-staging of tumor entities for which MRI has traditionally been favored, such as squamous cell carcinomas of the head and neck. By adding functional MRI to PET, PET/MRI may further improve diagnostic accuracy in the differentiation of scar tissue from recurrence of tumors such as rectal cancer. This hypothesis will have to be assessed in future studies. With regard to N-staging, PET/MRI does not seem to provide a considerable benefit as compared with PET/CT but provides similar N-staging accuracy when applied as a whole-body staging approach. M-staging will benefit from MRI accuracy in the brain and the liver. The purpose of this review is to summarize the available first experiences with PET/MRI and to outline the potential value of PET/MRI in oncologic applications for which data on PET/MRI are still lacking.

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Year:  2012        PMID: 22582048     DOI: 10.2967/jnumed.112.105338

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  65 in total

Review 1.  [Combined PET-MRI of the abdomen].

Authors:  Tibor Vag; M Eiber; M Schwaiger
Journal:  Radiologe       Date:  2015-12       Impact factor: 0.635

2.  Is integrated 18F-FDG PET/MRI superior to 18F-FDG PET/CT in the differentiation of incidental tracer uptake in the head and neck area?

Authors:  Benedikt Michael Schaarschmidt; Benedikt Gomez; Christian Buchbender; Johannes Grueneisen; Felix Nensa; Lino Morris Sawicki; Verena Ruhlmann; Axel Wetter; Gerald Antoch; Philipp Heusch
Journal:  Diagn Interv Radiol       Date:  2017 Mar-Apr       Impact factor: 2.630

3.  Multiparametric Whole-body MRI with Diffusion-weighted Imaging and ADC Mapping for the Identification of Visceral and Osseous Metastases From Solid Tumors.

Authors:  Michael A Jacobs; Katarzyna J Macura; Atif Zaheer; Emmanuel S Antonarakis; Vered Stearns; Antonio C Wolff; Thorsten Feiweier; Ihab R Kamel; Richard L Wahl; Li Pan
Journal:  Acad Radiol       Date:  2018-04-04       Impact factor: 3.173

Review 4.  Imaging strategies in the management of gastric cancer: current role and future potential of MRI.

Authors:  Alicia S Borggreve; Lucas Goense; Hylke J F Brenkman; Stella Mook; Gert J Meijer; Frank J Wessels; Marcel Verheij; Edwin P M Jansen; Richard van Hillegersberg; Peter S N van Rossum; Jelle P Ruurda
Journal:  Br J Radiol       Date:  2019-03-05       Impact factor: 3.039

5.  Deep Auto-context Convolutional Neural Networks for Standard-Dose PET Image Estimation from Low-Dose PET/MRI.

Authors:  Lei Xiang; Yu Qiao; Dong Nie; Le An; Qian Wang; Dinggang Shen
Journal:  Neurocomputing       Date:  2017-06-29       Impact factor: 5.719

6.  Prospective comparison of 18F-FDG PET/MRI and 18F-FDG PET/CT for thoracic staging of non-small cell lung cancer.

Authors:  Julian Kirchner; Lino M Sawicki; Felix Nensa; Benedikt M Schaarschmidt; Henning Reis; Marc Ingenwerth; Simon Bogner; Clemens Aigner; Christian Buchbender; Lale Umutlu; Gerald Antoch; Ken Herrmann; Philipp Heusch
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-08-03       Impact factor: 9.236

Review 7.  Current Status of Hybrid PET/MRI in Oncologic Imaging.

Authors:  Andrew B Rosenkrantz; Kent Friedman; Hersh Chandarana; Amy Melsaether; Linda Moy; Yu-Shin Ding; Komal Jhaveri; Luis Beltran; Rajan Jain
Journal:  AJR Am J Roentgenol       Date:  2015-10-22       Impact factor: 3.959

8.  Multiparametric fully-integrated 18-FDG PET/MRI of advanced gastric cancer for prediction of chemotherapy response: a preliminary study.

Authors:  Dong Ho Lee; Se Hyung Kim; Seock-Ah Im; Do-Youn Oh; Tae-Yong Kim; Joon Koo Han
Journal:  Eur Radiol       Date:  2015-11-28       Impact factor: 5.315

9.  Diagnostic value of combining ¹¹C-choline and ¹⁸F-FDG PET/CT in hepatocellular carcinoma.

Authors:  Maria-Angéla Castilla-Lièvre; Dominique Franco; Philippe Gervais; Bertrand Kuhnast; Hélène Agostini; Lysiane Marthey; Serge Désarnaud; Badia-Ourkia Helal
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-11-18       Impact factor: 9.236

10.  PET/MRI and PET/CT in follow-up of head and neck cancer patients.

Authors:  Marcelo A Queiroz; Martin Hüllner; Felix Kuhn; Gerhardt Huber; Christian Meerwein; Spyros Kollias; Gustav von Schulthess; Patrick Veit-Haibach
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-02-28       Impact factor: 9.236

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