Martin D Holland1, Ezinwanne Onuoha2, Moh’d Khushman3, Darryl Outlaw3, Mehmet Akce 3, Bassel El-Rayes 3, Grant R Williams 3, Salila Hashmi 4, Sushanth Reddy 4, J. Bart Rose 4, Desiree E. Morgan 5, Xiaoyu Jiang 6, Dana Cardin 7, Katherine Frederick-Dyer 6, Junzhong Xu 6, and Harrison D Kim5
1Interdisciplinary Engineering, University of Alabama at Birmingham, Birmingham, AL, United States, 2Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL, United States, 3Medicine, University of Alabama at Birmingham, Birmingham, AL, United States, 4Surgery, University of Alabama at Birmingham, Birmingham, AL, United States, 5Radiology, University of Alabama at Birmingham, Birmingham, AL, United States, 6Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 7Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
Synopsis
Keywords: Pancreas, Cancer, DCE-MRI, Pancreatic cancer, Therapy monitoring, Perfusion phantom, Quantification
Dynamic contrast-enhanced
magnetic resonance imaging (DCE-MRI) measures tissue perfusion by monitoring
the dynamic change of MRI contrast agents. However, the inter/intra-scanner
variability in quantitative DCE-MRI (qDCE) measurement remains a concern. We
developed a point-of-care portable
perfusion phantom (P4) that can
be imaged with a human subject in a standard MRI scanner to detect and
correct the inter/intra-scanner variability of qDCE measurement. We
demonstrated that the PDAC response to chemotherapy could be accurately
assessed using quantitative DCE-MRI after our P4-based error correction method
approximately seven weeks after starting therapy in two clinics.
Introduction
Dynamic contrast-enhanced magnetic resonance
imaging (DCE-MRI) measures tissue perfusion by monitoring the dynamic change of
MRI contrast agents1-4.
However, the primary barrier to the widespread clinical use of this technique
is the inter/intra-scanner variability in quantitative DCE-MRI (qDCE)
measurement5. To address this concern, we developed a point-of-care portable perfusion phantom (P4)6, 7. The P4 phantom can be
imaged with a human subject in a standard MRI scanner to detect and correct the
inter/intra-scanner variability of qDCE measurement6, 7. This study aimed to determine whether qDCE could
assess pancreatic ductal adenocarcinoma (PDAC) response to chemotherapy early
and accurately when the P4 phantom is employed to correct MRI scanner-driven errors. Method
DCE-MRI was applied to PDAC patients together with P4 phantoms before and
approximately seven weeks after starting chemotherapy in one of three 3T MRI
scanners of two institutes (GE Signa and SIEMENS Prisma at the University of
Alabama at Birmingham (UAB); Philips Elition at Vanderbilt University Medical
Center (VUMC)). Two patients had resectable PDAC, five patients had borderline
resectable PDAC, seven had locally advanced PDAC, and two had metastatic liver
lesions at diagnosis. All subjects entered systemic chemotherapy with
FOLFIRINOX (n=14), Abraxane+Gemcitabine (n=1), or Abraxane+Cisplatin (n=1). Volume
transfer constant (Ktrans), a measure of micro-perfusion, was
calculated in the tumor region based on the extended Tofts model (ETM) before
and after P4-based error correction. ETM provided the highest reproducibility of
Ktrans in the abdominal tissues in our previous study7.
The response of primary PDAC was determined about 16 weeks after therapy
initiation based on RECIST criteria. Completed/partial responses were
considered responding, while stable/progressive diseases were considered
non-responding to therapy. Among the tumors classified as stable diseases, if
the tumor size decreased by more than 10%, we considered them favorably
responded to the therapy as well. The Ktrans changes in the
tumors that favorably responded to chemotherapy were statistically compared to
those in non-responding tumors using ANOVA. All data
are given as mean±SD.Results
A total of 16 patients (5 female,
11 males; 4 Black, 12 White; age range = 46-78 years, median age = 64 years)
were recruited. The mean primary tumor size in the
baseline scan was 35±14 mm. Eight subjects responded
favorably to chemotherapy, and the other eight did not. Figure 1A shows the
ETM-based Ktrans maps of two representative patients
responding and non-responding to chemotherapy. Figure 2A summarizes the tumor Ktrans and size changes during chemotherapy. The Ktrans after P4-based error correction increased 79±19% in the responding tumors, significantly higher than in the
non-responding tumors (-4±8%, p<0.0001). However, before P4-based error correction, the Ktrans changes in the
responding and non-responding tumors were 81±22%
and 36±75%, respectively, without a statistical difference (p=0.1324). The
size change of responding tumors in the first follow-up CT scans (i.e., 6-10
weeks after therapy initiation) was -14±8%, statistically different from
non-responding tumors (10±14%, p=0.0008). However, the mean difference
of Ktrans change between the responding and non-responding
groups was about 3-fold higher than those of tumor size change when the P4
phantom was used for error correction. Conclusion and Discussion
We demonstrated that the PDAC
response to chemotherapy was accurately assessed using quantitative DCE-MRI after
our P4-based error correction method approximately seven weeks after starting
therapy in two independent clinics. Our approach has the
potential to help select therapy for PDAC patients with a greater likelihood of
successful treatment. Early therapy response assessment will be imperative for
patients with resectable (or borderline resectable) PDAC since it will enable
the early determination of whether the neoadjuvant chemotherapy should be
continued to facilitate margin-negative resection or if a change in systemic
chemotherapy is warranted. Acknowledgements
This study was supported by the National Cancer Institute, UG3/UH3 CA232820,
and the Radiology Research Pilot Award from the Department of Radiology at UAB.References
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