Literature DB >> 19227481

Quantifying tumour hypoxia by PET imaging--a theoretical analysis.

Iuliana Toma-Daşu1, Alexandru Daşu, Anders Brahme.   

Abstract

Information on tumour oxygenation could be obtained from various imaging methods, but the success of incorporating it into treatment planning depends on the accuracy of quantifying it. This study presents a theoretical analysis of the efficiency of measuring tumour hypoxia by PET imaging. Tissue oxygenations were calculated for ranges of biologically relevant physiological parameters and were then used to simulate PET images for markers with different uptake characteristics. The resulting images were used to calculate dose distributions that could lead to predefined tumour control levels. The results have shown that quantification of tumour hypoxia with PET may lead to different values according to the tracer used and the tumour site investigated. This would in turn be reflected into the dose distributions recommended by the optimisation algorithms. However, irrespective of marker-specific differences, focusing the radiation dose to the hypoxic areas appears to reduce the average tumour dose needed to achieve a certain control level.

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Year:  2009        PMID: 19227481     DOI: 10.1007/978-0-387-85998-9_40

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  14 in total

1.  Advantage of FMISO-PET over FDG-PET for predicting histological response to preoperative chemotherapy in patients with oral squamous cell carcinoma.

Authors:  Jun Sato; Yoshimasa Kitagawa; Yutaka Yamazaki; Hironobu Hata; Takuya Asaka; Masaaki Miyakoshi; Shozo Okamoto; Tohru Shiga; Masanobu Shindoh; Yuji Kuge; Nagara Tamaki
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-05-28       Impact factor: 9.236

2.  Tumor hypoxia imaging.

Authors:  Xilin Sun; Gang Niu; Nicholas Chan; Baozhong Shen; Xiaoyuan Chen
Journal:  Mol Imaging Biol       Date:  2011-06       Impact factor: 3.488

Review 3.  Molecular imaging of hypoxia in non-small-cell lung cancer.

Authors:  Connie Yip; Philip J Blower; Vicky Goh; David B Landau; Gary J R Cook
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-02-21       Impact factor: 9.236

4.  Development of a mathematical model to estimate intra-tumor oxygen concentrations through multi-parametric imaging.

Authors:  Chung-Wein Lee; Keith M Stantz
Journal:  Biomed Eng Online       Date:  2016-10-12       Impact factor: 2.819

5.  Optimization of treatment planning for hypoxic tumours and re-modulation of radiation intensity in heavy-ion radiotherapy.

Authors:  Ladan Rezaee
Journal:  Rep Pract Oncol Radiother       Date:  2019-12-17

Review 6.  Modelling tumour oxygenation, reoxygenation and implications on treatment outcome.

Authors:  Iuliana Toma-Dasu; Alexandru Dasu
Journal:  Comput Math Methods Med       Date:  2013-01-14       Impact factor: 2.238

Review 7.  In silico modelling of treatment-induced tumour cell kill: developments and advances.

Authors:  Loredana G Marcu; Wendy M Harriss-Phillips
Journal:  Comput Math Methods Med       Date:  2012-07-12       Impact factor: 2.238

Review 8.  Imaging Modalities to Assess Oxygen Status in Glioblastoma.

Authors:  Aurélien Corroyer-Dulmont; Ararat Chakhoyan; Solène Collet; Lucile Durand; Eric T MacKenzie; Edwige Petit; Myriam Bernaudin; Omar Touzani; Samuel Valable
Journal:  Front Med (Lausanne)       Date:  2015-08-19

9.  Kill-painting of hypoxic tumours in charged particle therapy.

Authors:  Walter Tinganelli; Marco Durante; Ryoichi Hirayama; Michael Krämer; Andreas Maier; Wilma Kraft-Weyrather; Yoshiya Furusawa; Thomas Friedrich; Emanuele Scifoni
Journal:  Sci Rep       Date:  2015-11-24       Impact factor: 4.379

Review 10.  Hypoxia in head and neck cancer in theory and practice: a PET-based imaging approach.

Authors:  Loredana G Marcu; Wendy M Harriss-Phillips; Sanda M Filip
Journal:  Comput Math Methods Med       Date:  2014-08-21       Impact factor: 2.238

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