Lugol'S Iodine-Enhanced Micro-Ct: A Potential 3-D Imaging Method For Detecting Tongue Squamous Cell Carcinoma Specimens In Surgery
FRONTIERS IN ONCOLOGY(2020)
Abstract
BackgroundA positive surgical margin (PSM) following oral cancer resection results in local recurrence and poor prognosis. Mono-block tumor specimens, especially from the tumor base, are difficult to evaluate. This inaccurate sampling ultimately leads to a false pathological diagnosis. Lugol's iodine (I-2-IK)-enhanced micro-CT is an emerging method to image tumor specimens. This study explores the feasibility of I-2-IK-enhanced micro-CT to evaluate the surgical margin for tongue squamous cell carcinoma (TSCC) specimens and to further seek optimal staining parameters.MethodsRabbit tongue tissues and human TSCC samples were imaged via I-2-IK-enhanced micro-CT. The optimal I-2-IK concentration and staining time were determined before clinical application using tissue shrinkage, micro-CT image quality, and effect on pathological diagnosis as assessment criteria. Next, 6 TSCC specimens were used to verify the process feasibility of surgical margin imaging with the optimal parameters. Finally, the possible reason by which I-2-IK could enhance micro-CT imaging was validated in vitro.ResultsI-2-IK staining influenced specimen shrinkage, micro-CT image quality, and pathological image quality in a concentration- and time-dependent manner. After comprehensively considering these indicators, 3% I-2-IK staining for 48 and 12 h were found to be optimal for rabbit tongue tissues and TSCC samples, respectively. This method could provide a detailed 3-D structure of TSCC samples compared with H&E sections. Moreover, tumor and normal tissues could be differentiated by their glycogen content, which has high affinity with I-2-IK.ConclusionsI-2-IK-enhanced micro-CT could, thus, indicate the tumor margin and assist pathological sampling in patients with TSCC postoperation.
MoreTranslated text
Key words
I-2-IK, micro-CT, pathological examination, surgical margin, TSCC specimens
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined