Alexandra W. Acher1, TJ Colgan1, Yuxin Zhang1, Krisztian Kovacs2, Jitka Starekova1, Victoria Rendell3, Daniel E. Abbott3, Erin Brooks2, Rashmi Agni2, Emily Winslow4, and Scott B. Reeder5
1Department of Radiology, University of Wisconsin, Madison, WI, United States, 2Department of Pathology, University of Wisconsin, Madison, WI, United States, 3Department of Surgery, University of Wisconsin, Madison, WI, United States, 4Department of Surgery, Georgetown University, Washington DC, MD, United States, 5Department of Radiology and Department of Medical Physics, University of Wisconsin, Madison, WI, United States
Synopsis
The purpose of this study was to develop a protocol for use
of a previously validated radiologic-histologic correlation device to evaluate the
pancreas with ex vivo MRI. Precise radiologic-histologic correlation of pancreatic
anatomy was achieved in cadaveric pancreas specimens. The final protocol will
be applied to co-localize pancreas cancer margins radiologically and
histologically, as well as nodal burden in pancreaticoduodenectomy specimens.
Introduction
Discrepancies between radiologic and pathologic tumor margins, as well as nodal burden in pancreas cancer are a major challenge that have important prognostic implications in the treatment of pancreas cancer [1-4]. The discrepancies are secondary to the challenges of in-vivo pancreas imaging and the complexity of pathologic processing [5-7]. We aim to improve our understanding of these discrepancies via high resolution ex vivo MRI of pancreas specimens using an MRI compatible radiologic-histologic correlation device (RHCD, Figure 1). The purpose of this work was to develop a protocol to co-localize radiologic and histologic anatomy of human cadaver pancreas specimens using ex vivo MRI and an RHCD. This study serves as a prelude to application of the RHCD to correlate histologic and radiologic pancreas cancer margins and nodal burden in resected surgical specimens and to quantify neoadjuvant treatment response and the extent of vascular invasion of pancreas cancer.Methods
Specimens
In this prospective study, pancreas specimens were obtained from patients undergoing autopsies for non-traumatic and non-surgical deaths. Per existing institutional pathology protocol, the specimens were sectioned longitudinally and fixed in formalin for 24 hours prior to any further processing or imaging.
Radiologic-histologic correlation device (RHCD)
Our group previously developed and validated an MR-compatible RHCD for co-localizing liver lesions in porcine specimens [8] as well as small liver lesions in patients who underwent liver resection for liver metastases from a primary colorectal cancer [9]. These studies demonstrated excellent radiologic-histologic correlation of tumor location and anatomy.
Briefly, the RHCD is a Plexiglas 27x14x14cm3 MRI-compatible device with 1cm grid patterns in 3 dimensions, made visible on MR by silicone gel infilling, and sectioning planes in the x-axis orientation (Figure 1). After formalin fixation, specimens were placed in a casting material (alginate) within the RHCD (Figure 1) to maintain an axial orientation relative to the x-axis (sectioning axis).
MR Protocol
All specimens were then imaged using a clinical 3T MRI system (GE Signa PET/MR, GE Healthcare, Waukesha WI) using a high-resolution (0.8mm isotropic) fat suppressed 3D T1-weighted fast spoiled gradient echo (T1w-SGRE), a 3D fat suppressed T2-weighted fast-spin-echo (T2w-FSE), and a commercial chemical shift encoded-MRI fat quantification method (IDEAL-IQ, GE Healthcare, Waukesha, WI). MR images were acquired using a single channel quadrature head coil. Acquisition parameters for T1w 3D-SGRE scan included: TR=12.3ms, TE=1.7ms, RBW=+/-62.5kHz, FOV=14.4x22.4x32cm, Matrix size=180x280x416, spatial resolution=0.8x0.8x0.8mm3, flip angle=20, and scan time=10:19. Acquisition parameters for T2w 3D-FSE included: TR=3.3s, TE=100ms, ETL=130, RBW=+/-62.5kHz, FOV=14.4x22.4x32cm, Matrix size=180x280x416, spatial resolution=0.8x0.8x0.8mm3 and scan time=16:10. Acquisition parameters for IDEAL-IQ included: TR=9.3ms, TE=1.3, 2.3, 3.2, 4.1, 5.0, 5.9ms, RBW=+/-62.50kHz, FOV=14.4x19.2x32cm, Matrix size=144x192x320, spatial resolution=1x1x1mm3, flip angle=4, and scan time=13:08.
Pathologic Processing and Analysis
After imaging, specimens were sectioned axially via the x-axis sectioning planes. Specific areas of interest were localized using the RHCD grids. The specimen was then removed from the alginate, and processed in accordance with institutional tissue-specific pathology protocols. The final combined radiology-pathology protocol was approved by a team of attending pathologists, hepatobiliary surgeons, and abdominal MRI radiologists. Summary statistical analysis was conducted with SAS.Results
Six cadaver pancreas specimens were obtained (4 total pancreatectomies, 2 partial pancreatectomies) and underwent the final combined MR and pathology protocols. There was excellent identification and measurement of all structures of interest, including surgically relevant margins, bile and pancreatic duct dimensions, vein dimensions, and nodal burden (Table 1, Figures 1-4). Additionally, proton density fat fraction (PDFF) was measured for each anatomic region of the pancreas (Table 1). Direct radiologic-histologic correlation provided detailed information regarding the histologic details of radiologic points of interest (Figure 2).Discussion
Radiologic histologic correlation using ex vivo MRI in pancreas specimens is highly feasible. This technology conveys precise anatomic relationships between the pancreas and adjacent structures that are not visible with in vivo imaging. With successful creation of an ex vivo imaging protocol, we will next apply this approach to the evaluation of pancreas cancer margins and nodal burden in pancreaticoduodenectomy specimens. Consclusion
Given the high resolution achieved with this protocol, we anticipate precise co-localization of radiologic and histologic structures and relationships of clinical interest in pancreas cancer specimens. This will include pancreas cancer margins, nodal disease-burden, tumor response to neoadjuvant therapy, and extent and location of vascular involvement.Acknowledgements
The authors would like to acknowledge and thank the University of Wisconsin Carbone Cancer Center Pancreas Pilot Grant program.References
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