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Three-dimensional Characterization of Interorganelle Contact Sites in Hepatocytes using Serial Section Electron Microscopy
Published on: June 9, 2022
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3D printed pathological sectioning boxes to facilitate radiological-pathological correlation in hepatectomy cases.
Andrew T Trout1, Matthew R Batie2, Anita Gupta3
1Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Journal of Clinical Pathology
|June 10, 2017
Summary
Radiogenomics relies on accurate tumor imaging correlation. This study introduces 3D-printed boxes for standardized liver sectioning, improving radiological-pathological correlation for precision cancer therapy.
Area of Science:
- Oncology
- Radiology
- Pathology
- Medical Imaging
- Genomics
Background:
- Radiogenomics aims to link tumor imaging features with genomic/proteomic data for targeted therapies.
- Accurate radiological-pathological correlation is essential for radiogenomics.
- Current pathological sectioning methods often use non-standard planes, hindering correlation.
Observation:
- Standardizing pathological sectioning of liver tumors is challenging.
- Preoperative imaging (CT/MRI) provides 3D anatomical data.
- Hepatic resection specimens require precise mapping.
Findings:
- A novel technique uses 3D-printed boxes, designed from preoperative imaging, to guide standardized hepatic sectioning.
- This method facilitates immediate sectioning in standard planes post-resection.
- Close correlation between imaging and gross pathology was observed in 13 hepatectomy patients.
Implications:
- This technique improves tumor mapping and radiological-pathological correlation in liver surgery.
- Enhanced correlation supports radiogenomic characterization and precision medicine.
- Standardized sectioning can advance the clinical application of radiogenomics.
