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Related Experiment Video

Updated: Jul 13, 2025

Automated Dissection Protocol for Tumor Enrichment in Low Tumor Content Tissues
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Comparison of two pathological processing methods for large endoscopic submucosal dissection (ESD) specimens.

Zixiang Yu1, Dongxian Jiang1, Wen Huang1

  • 1Department of Pathology, Zhongshan Hospital Fudan University, Shanghai, China.

Journal of Clinical Pathology
|October 18, 2023
PubMed
Summary

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This summary is machine-generated.

A new method for processing large endoscopic submucosal dissection (ESD) specimens significantly reduces paraffin blocks, storage space, and pathological assessment time. This optimized technique improves efficiency and accuracy in histopathological evaluation.

Area of Science:

  • Gastroenterology
  • Pathology
  • Surgical Oncology

Background:

  • Accurate histopathological evaluation of endoscopic submucosal dissection (ESD) specimens is crucial for patient management.
  • Large ESD specimens (≥4 cm) present processing challenges.

Purpose of the Study:

  • To introduce and evaluate a novel processing technique for large colorectal ESD specimens.
  • To assess the efficacy of the optimized method in terms of block number, storage, and time.

Main Methods:

  • A comparative study involving 92 patients with colorectal neoplasms treated with ESD.
  • 46 specimens processed using conventional methods and 46 using an optimized technique with macrobiocassettes and L-shaped embedding moulds.

Main Results:

Keywords:
colorectal neoplasmsdiagnosispathology, surgical

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  • The optimized method significantly reduced the number of paraffin blocks (276 vs. 398) and total storage volume (4554.0 cm³ vs. 6208.8 cm³).
  • Pathological assessment time was substantially shortened with the optimized technique (164.5 min vs. 269.0 min).

Conclusions:

  • The optimized technique for large ESD specimens is effective in reducing workload and storage requirements.
  • This improved procedure facilitates accurate histopathological assessment, aiding clinical decision-making.