Literature DB >> 19084350

Can positron emission tomography (PET) or PET/Computed Tomography (CT) acquired in a nontreatment position be accurately registered to a head-and-neck radiotherapy planning CT?

Andrew B Hwang1, Stephen L Bacharach, Sue S Yom, Vivian K Weinberg, Jeanne M Quivey, Benjamin L Franc, Ping Xia.   

Abstract

PURPOSE: To quantify the uncertainties associated with incorporating diagnostic positron emission tomography/CT (PET/CT) and PET into the radiotherapy treatment-planning process using different image registration tools, including automated and manual rigid body registration methods, as well as deformable image registration. METHODS AND MATERIALS: The PET/CTs and treatment-planning CTs from 12 patients were used to evaluate image registration accuracy. The PET/CTs also were used without the contemporaneously acquired CTs to evaluate the registration accuracy of stand-alone PET. Registration accuracy for relevant normal structures was quantified using an overlap index and differences in the center of mass (COM) positions. For tumor volumes, the registration accuracy was measured using COM positions only.
RESULTS: Registration accuracy was better with PET/CT than with PET alone. The COM displacements ranged from 3.2 +/- 0.6 mm (mean +/- 95% confidence interval, for brain) to 8.4 +/- 2.6 mm (spinal cord) for registration with PET/CT data, compared with 4.8 +/- 1.7 mm (brain) and 9.9 +/- 3.1 mm (spinal cord) with PET alone. Deformable registration improved accuracy, with minimum and maximum errors of 1.1 +/- 0.8 mm (brain) and 5.4 +/- 1.4 mm (mandible), respectively.
CONCLUSIONS: It is possible to incorporate PET and/or PET/CT acquired in diagnostic positions into the treatment-planning process through the use of advanced image registration algorithms, but precautions must be taken, particularly when delineating tumor volumes in the neck. Acquisition of PET/CT in the treatment-planning position would be the ideal method to minimize registration errors.

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Year:  2008        PMID: 19084350     DOI: 10.1016/j.ijrobp.2008.09.041

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  18 in total

1.  Dosimetric comparison of 2.5 mm vs. 3.0 mm leaf width micro-multileaf collimator-based treatment systems for intracranial stereotactic radiosurgery using dynamic conformal arcs: implications for treatment planning.

Authors:  Kazuhiro Ohtakara; Shinya Hayashi; Hidekazu Tanaka; Hiroaki Hoshi
Journal:  Jpn J Radiol       Date:  2011-09-29       Impact factor: 2.374

2.  Methods for estimating the site of origin of locoregional recurrence in head and neck squamous cell carcinoma.

Authors:  A K Due; I R Vogelius; M C Aznar; S M Bentzen; A K Berthelsen; S S Korreman; C A Kristensen; L Specht
Journal:  Strahlenther Onkol       Date:  2012-05-13       Impact factor: 3.621

3.  Impact of Neuroradiology-Based Peer Review on Head and Neck Radiotherapy Target Delineation.

Authors:  S Braunstein; C M Glastonbury; J Chen; J M Quivey; S S Yom
Journal:  AJNR Am J Neuroradiol       Date:  2016-11-03       Impact factor: 3.825

4.  Multimodality image registration in the head-and-neck using a deep learning-derived synthetic CT as a bridge.

Authors:  Elizabeth M McKenzie; Anand Santhanam; Dan Ruan; Daniel O'Connor; Minsong Cao; Ke Sheng
Journal:  Med Phys       Date:  2020-01-02       Impact factor: 4.071

5.  Conventional 3D staging PET/CT in CT simulation for lung cancer: impact of rigid and deformable target volume alignments for radiotherapy treatment planning.

Authors:  G G Hanna; J R Van Sörnsen De Koste; K J Carson; J M O'Sullivan; A R Hounsell; S Senan
Journal:  Br J Radiol       Date:  2011-01-11       Impact factor: 3.039

6.  Quality assurance assessment of diagnostic and radiation therapy-simulation CT image registration for head and neck radiation therapy: anatomic region of interest-based comparison of rigid and deformable algorithms.

Authors:  Abdallah S R Mohamed; Manee-Naad Ruangskul; Musaddiq J Awan; Charles A Baron; Jayashree Kalpathy-Cramer; Richard Castillo; Edward Castillo; Thomas M Guerrero; Esengul Kocak-Uzel; Jinzhong Yang; Laurence E Court; Michael E Kantor; G Brandon Gunn; Rivka R Colen; Steven J Frank; Adam S Garden; David I Rosenthal; Clifton D Fuller
Journal:  Radiology       Date:  2014-11-07       Impact factor: 11.105

Review 7.  Radiotherapy planning of lymphomas: role of metabolic imaging with PET/CT.

Authors:  Michael J McKay; Kim L Taubman; Szeting Lee; Andrew M Scott
Journal:  Ann Nucl Med       Date:  2022-01-14       Impact factor: 2.668

8.  Comparison of rigid and deformable image registration for nasopharyngeal carcinoma radiotherapy planning with diagnostic position PET/CT.

Authors:  Yudai Kai; Hidetaka Arimura; Ryo Toya; Tetsuo Saito; Tomohiko Matsuyama; Yoshiyuki Fukugawa; Shinya Shiraishi; Yoshinobu Shimohigashi; Masato Maruyama; Natsuo Oya
Journal:  Jpn J Radiol       Date:  2019-12-13       Impact factor: 2.374

9.  The application of PET-CT to post-mastectomy regional radiation therapy using a deformable image registration.

Authors:  Yu Sun Lee; Kyoung Ju Kim; Seung Do Ahn; Eun Kyung Choi; Jong Hoon Kim; Sang-Wook Lee; Si Yeol Song; Sang Min Yoon; Young Seok Kim; Jin-Hong Park; Byung Chul Cho; Su Ssan Kim
Journal:  Radiat Oncol       Date:  2013-04-29       Impact factor: 3.481

10.  The use of PET/CT in radiotherapy planning: contribution of deformable registration.

Authors:  Ela Delikgoz Soykut; Esat Mahmut Ozsahin; Yildiz Yukselen Guney; Suheyla Aytac Arslan; Ozlem Derinalp Or; Muzaffer Bedri Altundag; Gamze Ugurluer; Pelagia G Tsoutsou
Journal:  Front Oncol       Date:  2013-04-12       Impact factor: 6.244

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