Hybrid Imaging in Oncology

Fatima, Nosheen; Zaman, Maseeh uz; Gnanasegaran, Gopinath; Zaman, Unaiza; Shahid, Wajeeha; Zaman, Areeba; Tahseen, Rabia

doi:10.7314/apjcp.2015.16.14.5599

Cited by 2 publications

(2 citation statements)

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“…The combined imaging modalities provide complementary morphological and physiological information within a single examination, thus, improving diagnostic accuracy and subsequently patient management. [4][5][6][7] Since tumor characterization is critical for the diagnosis/grading, treatment planning, and follow-up of the oncological patients, different methods aim at quantitating the characteristics of the tumor. Tumor length (e.g., by applying the Response Evaluation Criteria in Solid Tumors, RECIST 8 ), tumor volume, standardized uptake values (SUV) calculated from PET images, and tissues elasticity measured by MRI, are some examples of commonly used quantitation parameters.…”

Section: Introductionmentioning

confidence: 99%

“…Hybrid imaging systems play an important role in oncology. The combined imaging modalities provide complementary morphological and physiological information within a single examination, thus, improving diagnostic accuracy and subsequently patient management . Since tumor characterization is critical for the diagnosis/grading, treatment planning, and follow‐up of the oncological patients, different methods aim at quantitating the characteristics of the tumor.…”

Section: Introductionmentioning

confidence: 99%

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Physical imaging phantoms for simulation of tumor heterogeneity in PET, CT, and MRI: An overview of existing designs

2020

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Background: In oncology, lesion characterization is essential for tumor grading, treatment planning, and follow-up of cancer patients. Hybrid imaging systems, such as Single Photon Emission Computed Tomography (SPECT)/CT, Positron Emission Tomography (PET)/CT, or PET/magnetic resonance imaging (MRI), play an essential role for the noninvasive quantification of tumor characteristics. However, most of the existing approaches are challenged by intra-and intertumor heterogeneity. Novel quantitative imaging parameters that can be derived from textural feature analysis (as part of radiomics) are promising complements for improved characterization of tumor heterogeneity, thus, supporting clinically relevant implementations of personalized medicine concepts. Nevertheless, establishing new quantitative parameters for tumor characterization requires the use of standardized imaging objects to test the reliability of results prior to their implementation in patient studies. Methods: In this review, we summarize existing reports on heterogeneous phantoms with a focus on simulating tumor heterogeneity. We discuss the techniques, materials, advantages, and limitations of the existing phantoms for PET, CT, and MR imaging modalities. Conclusions: Finally, we outline the future directions and requirements for the design of cross modality imaging phantoms.

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