Abstract

Purpose To examine how combining magnetic resonance (MR), computed tomography (CT), and positron emission tomography (PET) enhances clinical outcomes in complex or metastatic cancers, focusing on diagnostic performance, staging accuracy, and effects on treatment decisions.

Method Data were extracted and analyzed using a thematic synthesis approach for this literature review. Key variables included study design, sample size, cancer type, imaging modalities used, and reported diagnostic outcomes such as sensitivity, specificity, and accuracy.

Results The integration of multiple imaging modalities enhanced diagnostic performance, improved differentiation between tumor recurrence and posttreatment changes, and increased detection of occult metastatic disease. Advanced imaging approaches, including total-body PET/CT and hybrid PET/MR systems, further improved staging accuracy and allowed for more precise assessment of tumor burden.

Discussion Findings demonstrated that combined imaging modalities possess inherent strengths. MR offered superior soft tissue resolution and high sensitivity, particularly in detecting local tumor recurrence, while PET/CT provided valuable metabolic and whole-body imaging capabilities, improving detection of metastatic disease.

Conclusion Despite these advantages, limitations such as small sample sizes, retrospective designs, and variability in imaging protocols were noted across studies. Overall, the evidence supported the growing role of multi-modal imaging as a critical tool in precision oncology.

DOI

https://doi.org/10.52519/00264

Graduation Date

Summer 8-7-2026

Document Type

Thesis

Degree Name

Master of Science in Radiologic Science

Program

The School of Health Professions

Faculty Advisor

Kevin R. Clark

Committee Member

Jessyca B. Wagner

Director, Graduate Program

William A. Undie

Dean

Kimberly Hoggatt Krumwiede

Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Included in

Radiology Commons

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.