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Three-dimensional Location Approach with Silk Thread Guided Laparoscopic Segmentectomy for Liver Tumor

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Liver segmentation: indications, techniques and future directions.

Akshat Gotra^1,2, Lojan Sivakumaran^3,4, Gabriel Chartrand⁵

¹Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Saint-Luc Hospital, 1058 rue Saint-Denis, Montreal, QC, H2X 3J4, Canada.

Insights Into Imaging

|June 16, 2017

Summary

This summary is machine-generated.

Liver segmentation using CT and MRI is crucial for assessing liver volume before major surgeries. Automated methods offer efficiency, expanding clinical applications in surgical planning and biomarker integration.

Keywords:

Automated Computed tomography Liver Magnetic resonance imaging Segmentation Volumetry

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Area of Science:

Medical Imaging and Radiology
Computational Anatomy
Surgical Planning

Background:

Liver volumetry is increasingly vital in clinical practice.
Accurate liver volume assessment relies on organ segmentation from CT and MRI scans.
Radiologists and healthcare professionals require accessible knowledge on liver segmentation techniques.

Purpose of the Study:

To provide a comprehensive overview of liver segmentation methods.
To detail the clinical indications and evolving roles of liver segmentation.
To guide healthcare professionals in utilizing segmentation for liver volumetry.

Main Methods:

Review of indications for liver segmentation in clinical practice.
Analysis of technical approaches in segmentation software (manual, semi-automated, automated).
Examination of current and emerging applications of liver segmentation.

Main Results:

Liver segmentation is indicated for procedures like hepatectomy, portal vein embolization, ALPPS, and transplantation.
Segmentation software varies in user input: manual (gold standard, time-consuming), semi-automated, and fully automated (efficient but potential pitfalls).
Emerging applications include enhanced surgical planning and integration with MRI-based biomarkers.

Conclusions:

Liver segmentation offers diverse and expanding clinical applications.
Semi-automated and fully automated segmentation tools enable efficient clinical integration of volumetry.
Continued development in automated segmentation promises greater robustness and wider adoption.