Literature DB >> 19427800

Molecular PET/CT imaging-guided radiation therapy treatment planning.

Habib Zaidi1, Hansjörg Vees, Michael Wissmeyer.   

Abstract

The role of positron emission tomography (PET) during the past decade has evolved rapidly from that of a pure research tool to a methodology of enormous clinical potential. (18)F-fluorodeoxyglucose (FDG)-PET is currently the most widely used probe in the diagnosis, staging, assessment of tumor response to treatment, and radiation therapy planning because metabolic changes generally precede the more conventionally measured parameter of change in tumor size. Data accumulated rapidly during the last decade, thus validating the efficacy of FDG imaging and many other tracers in a wide variety of malignant tumors with sensitivities and specificities often in the high 90 percentile range. As a result, PET/computed tomography (CT) had a significant impact on the management of patients because it obviated the need for further evaluation, guided further diagnostic procedures, and assisted in planning therapy for a considerable number of patients. On the other hand, the progress in radiation therapy technology has been enormous during the last two decades, now offering the possibility to plan highly conformal radiation dose distributions through the use of sophisticated beam targeting techniques such as intensity-modulated radiation therapy (IMRT) using tomotherapy, volumetric modulated arc therapy, and many other promising technologies for sculpted three-dimensional (3D) dose distribution. The foundation of molecular imaging-guided radiation therapy lies in the use of advanced imaging technology for improved definition of tumor target volumes, thus relating the absorbed dose information to image-based patient representations. This review documents technological advancements in the field concentrating on the conceptual role of molecular PET/CT imaging in radiation therapy treatment planning and related image processing issues with special emphasis on segmentation of medical images for the purpose of defining target volumes. There is still much more work to be done and many of the techniques reviewed are themselves not yet widely implemented in clinical settings.

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Mesh:

Year:  2009        PMID: 19427800     DOI: 10.1016/j.acra.2009.02.014

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  17 in total

Review 1.  PET-guided prostate cancer radiotherapy: technological innovations for dose delivery optimisation.

Authors:  Giovanni Lucignani; Habib Zaidi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-07       Impact factor: 9.236

Review 2.  PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques.

Authors:  Habib Zaidi; Issam El Naqa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-03-25       Impact factor: 9.236

3.  Comparative methods for PET image segmentation in pharyngolaryngeal squamous cell carcinoma.

Authors:  Habib Zaidi; Mehrsima Abdoli; Carolina Llina Fuentes; Issam M El Naqa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-05       Impact factor: 9.236

Review 4.  Content-based medical image retrieval: a survey of applications to multidimensional and multimodality data.

Authors:  Ashnil Kumar; Jinman Kim; Weidong Cai; Michael Fulham; Dagan Feng
Journal:  J Digit Imaging       Date:  2013-12       Impact factor: 4.056

Review 5.  Artificial intelligence in radiotherapy.

Authors:  Sarkar Siddique; James C L Chow
Journal:  Rep Pract Oncol Radiother       Date:  2020-05-06

6.  Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211.

Authors:  Mathieu Hatt; John A Lee; Charles R Schmidtlein; Issam El Naqa; Curtis Caldwell; Elisabetta De Bernardi; Wei Lu; Shiva Das; Xavier Geets; Vincent Gregoire; Robert Jeraj; Michael P MacManus; Osama R Mawlawi; Ursula Nestle; Andrei B Pugachev; Heiko Schöder; Tony Shepherd; Emiliano Spezi; Dimitris Visvikis; Habib Zaidi; Assen S Kirov
Journal:  Med Phys       Date:  2017-05-18       Impact factor: 4.071

7.  Medical Image Retrieval Using Multi-Texton Assignment.

Authors:  Qiling Tang; Jirong Yang; Xianfu Xia
Journal:  J Digit Imaging       Date:  2018-02       Impact factor: 4.056

Review 8.  Functional magnetic resonance imaging techniques and their development for radiation therapy planning and monitoring in the head and neck cancers.

Authors:  Jing Yuan; Gladys Lo; Ann D King
Journal:  Quant Imaging Med Surg       Date:  2016-08

Review 9.  Functional and molecular image guidance in radiotherapy treatment planning optimization.

Authors:  Shiva K Das; Randall K Ten Haken
Journal:  Semin Radiat Oncol       Date:  2011-04       Impact factor: 5.934

10.  Impact of 18F-FDG PET/CT on target volume delineation in recurrent or residual gynaecologic carcinoma.

Authors:  Hansjörg Vees; Nathalie Casanova; Thomas Zilli; Hestia Imperiano; Osman Ratib; Youri Popowski; Hui Wang; Habib Zaidi; Raymond Miralbell
Journal:  Radiat Oncol       Date:  2012-10-22       Impact factor: 3.481

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