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Brock, Kristy K.

https://orcid.org/0000-0001-9364-5040

Mayo Clinic

The University of Texas MD Anderson Cancer Center

Citations 2

Post-RT Head and Neck DCE-MRI: Association Between Mandibular Dose and ve
Reber, Brandon , He, Renjie , Abdelaal, Moamen R., Mohamed, Abdallah , Mulder, Samuel L. , Humbert‐Vidan, Laia , Fuller, Clifton D. , Lai, Stephen Y. , Brock, Kristy K. , Mohamed, Abdallah S R , Fuller, Clifton David , Abdelaal, Moamen Abobakr

Cancers | October 3, 2025 | Volume: 17 | Issue: 19 | Pages: 3224

10.3390/cancers17193224 Get It

Background: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a functional imaging modality that can quantify tissue permeability and blood flow. Due to vasculature changes resulting from radiation therapy (RT), DCE-MRI quantitative parameters should be significantly different in regions receiving a high radiation dose compared to regions receiving a low radiation dose. This study sought to determine whether a significant difference exists in post-head-and-neck-cancer (HNC)-RT DCE-MRI quantitative parameters (Ktrans and ve) between regions of the mandible receiving a high radiation dose and regions of the mandible receiving a low radiation dose. Methods: DCE-MRI was acquired from HNC subjects post-RT. The DCE-MRI quantitative parameters Ktrans and ve were obtained through Tofts model fitting. Four mandible sections (left ramus, left body, right ramus, and right body) were delineated on subject mandible contours. Two Friedman tests comparing the mean Ktrans and ve in low-dose (≤60 Gy) areas of the four mandible regions were computed. If the Friedman test determined that a significant difference for a parameter between mandible regions exists, post hoc Wilcoxon signed-rank tests were completed comparing the four mandible regions. If the Friedman test determined that there was no significant difference between mandible regions, a Wilcoxon signed-rank test was used to determine whether a significant difference exists in the parameter between high-dose (>60 Gy) and low-dose (≤60 Gy) mandible regions. Results: 48 HNC subjects were included in the analysis. The Friedman tests showed no significant difference in ve means between mandible regions (χ(3)2 = 1.63, p = 0.44) and a significant difference in Ktrans means between mandible regions (χ(3)2 = 10.29, p = 0.005). Post hoc testing between Ktrans mandible regions found that the left body and right body differed significantly from the left ramus and right ramus. The Wilcoxon signed-rank test comparing the mean ve between high- and low-dose mandible regions found a significant difference (W = 214, p = 0.00013). Conclusions: no inherent difference in the DCE-MRI quantitative parameter ve was observed within subject mandibles, but a significant difference was observed between ve means in high- and low-radiation-dose mandible regions. These results provide evidence of the utility of DCE-MRI to monitor mandible vasculature changes resulting from head and neck cancer radiation therapy. Monitoring post-HNC-RT mandible vasculature changes is important to initiate earlier toxicity management and ultimately improve HNC survivors’ quality of life.
Multi‐energy computed tomography and material quantification: Current barriers and opportunities for advancement
Jacobsen, Megan C. , Thrower, Sara , Court, Laurence E. , Tamm, Eric P. , Cody, Dianna D. , Layman, Rick R. , Thrower, Sara , Ger, Rachel , Leng, Shuai , Brock, Kristy K. , Cressman, Erik N. K.

Medical Physics | May 26, 2020 | Volume: 47 | Issue: 8 | Pages: 3752-3771

10.1002/mp.14241 Get It

Computed tomography (CT) technology has rapidly evolved since its introduction in the 1970s. It is a highly important diagnostic tool for clinicians as demonstrated by the significant increase in utilization over several decades. However, much of the effort to develop and advance CT applications has been focused on improving visual sensitivity and reducing radiation dose. In comparison to these areas, improvements in quantitative CT have lagged behind. While this could be a consequence of the technological limitations of conventional CT, advanced dual‐energy CT (DECT) and photon‐counting detector CT (PCD‐CT) offer new opportunities for quantitation. Routine use of DECT is becoming more widely available and PCD‐CT is rapidly developing. This review covers efforts to address an unmet need for improved quantitative imaging to better characterize disease, identify biomarkers, and evaluate therapeutic response, with an emphasis on multi‐energy CT applications. The review will primarily discuss applications that have utilized quantitative metrics using both conventional and DECT, such as bone mineral density measurement, evaluation of renal lesions, and diagnosis of fatty liver disease. Other topics that will be discussed include efforts to improve quantitative CT volumetry and radiomics. Finally, we will address the use of quantitative CT to enhance image‐guided techniques for surgery, radiotherapy and interventions and provide unique opportunities for development of new contrast agents.