Prediction of Tumor Response with CT Perfusion of Neoadjuvant Chemoradiation in Locally Advanced Rectal Cancer

Zhang, Z.; Zhu, Ji; Cai, Guoxiang; Gu, Wei; Zhang, S.; Sun, Wen Jie; Sanjun, C.

doi:10.1016/j.ijrobp.2010.07.767

Cited by 2 publications

(2 citation statements)

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“…This technique has also been evaluated for predicting response to chemoradiation in rectal cancer, as assessed by preand post-treatment imaging (Fig. 4B) [47] . CTP therefore has a potential role to play in response prediction, with low perfusion reflecting a treatment-resistant phenotype.…”

Section: Hypoperfusionmentioning

confidence: 99%

Predicting tumour response

Kyle¹,

Law²,

Miles³

2013

Cancer Imaging

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Response prediction is an important emerging concept in oncologic imaging, with tailored, individualized treatment regimens increasingly becoming the standard of care. This review aims to define tumour response and illustrate the ways in which imaging techniques can demonstrate tumour biological characteristics that provide information on the likely benefit to be received by treatment. Two imaging approaches are described: identification of therapeutic targets and depiction of the treatment-resistant phenotype. The former approach is exemplified by the use of radionuclide imaging to confirm target expression before radionuclide therapy but with angiogenesis imaging and imaging correlates for genetic response predictors also demonstrating potential utility. Techniques to assess the treatment-resistant phenotype include demonstration of hypoperfusion with dynamic contrast-enhanced computed tomography and magnetic resonance imaging (MRI), depiction of necrosis with diffusion-weighted MRI, imaging of hypoxia and tumour adaption to hypoxia, and 99m Tc-MIBI imaging of P-glycoprotein mediated drug resistance. To date, introduction of these techniques into clinical practice has often been constrained by inadequate cross-validation of predictive criteria and lack of verification against appropriate response end points such as survival. With further refinement, imaging predictors of response could play an important role in oncology, contributing to individualization of therapy based on the specific tumour phenotype. This ability to predict tumour response will have implications for improving efficacy of treatment, cost-effectiveness and omission of futile therapy.

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Section: Hypoperfusionmentioning

confidence: 99%

Predicting tumour response

Kyle¹,

Law²,

Miles³

2013

Cancer Imaging

View full text Add to dashboard Cite

show abstract

“…This technique has also been evaluated for predicting response to chemoradiation in rectal cancer, as assessed by pre- and post-treatment imaging (Fig. 4B) [ 47 ] . CTP therefore has a potential role to play in response prediction, with low perfusion reflecting a treatment-resistant phenotype.…”

Section: Imaging the Treatment-resistant Phenotypementioning

confidence: 99%

Predicting tumour response

Kyle

Law

Miles³

2013

Cancer Imaging

View full text Add to dashboard Cite

Response prediction is an important emerging concept in oncologic imaging, with tailored, individualized treatment regimens increasingly becoming the standard of care. This review aims to define tumour response and illustrate the ways in which imaging techniques can demonstrate tumour biological characteristics that provide information on the likely benefit to be received by treatment. Two imaging approaches are described: identification of therapeutic targets and depiction of the treatment-resistant phenotype. The former approach is exemplified by the use of radionuclide imaging to confirm target expression before radionuclide therapy but with angiogenesis imaging and imaging correlates for genetic response predictors also demonstrating potential utility. Techniques to assess the treatment-resistant phenotype include demonstration of hypoperfusion with dynamic contrast-enhanced computed tomography and magnetic resonance imaging (MRI), depiction of necrosis with diffusion-weighted MRI, imaging of hypoxia and tumour adaption to hypoxia, and 99mTc-MIBI imaging of P-glycoprotein mediated drug resistance. To date, introduction of these techniques into clinical practice has often been constrained by inadequate cross-validation of predictive criteria and lack of verification against appropriate response end points such as survival. With further refinement, imaging predictors of response could play an important role in oncology, contributing to individualization of therapy based on the specific tumour phenotype. This ability to predict tumour response will have implications for improving efficacy of treatment, cost-effectiveness and omission of futile therapy.

show abstract

Prediction of Tumor Response with CT Perfusion of Neoadjuvant Chemoradiation in Locally Advanced Rectal Cancer

Cited by 2 publications

References 0 publications

Predicting tumour response

Predicting tumour response

Predicting tumour response

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