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Tumour auto-contouring on 2d cine MRI for locally advanced lung cancer: A comparative study.

ABSTRACT: Radiotherapy guidance based on magnetic resonance imaging (MRI) is currently becoming a clinical reality. Fast 2d cine MRI sequences are expected to increase the precision of radiation delivery by facilitating tumour delineation during treatment. This study compares four auto-contouring algorithms for the task of delineating the primary tumour in six locally advanced (LA) lung cancer patients.Twenty-two cine MRI sequences were acquired using either a balanced steady-state free precession or a spoiled gradient echo imaging technique. Contours derived by the auto-contouring algorithms were compared against manual reference contours. A selection of eight image data sets was also used to assess the inter-observer delineation uncertainty.Algorithmically derived contours agreed well with the manual reference contours (median Dice similarity index: ?0.91). Multi-template matching and deformable image registration performed significantly better than feature-driven registration and the pulse-coupled neural network (PCNN). Neither MRI sequence nor image orientation was a conclusive predictor for algorithmic performance. Motion significantly degraded the performance of the PCNN. The inter-observer variability was of the same order of magnitude as the algorithmic performance.Auto-contouring of tumours on cine MRI is feasible in LA lung cancer patients. Despite large variations in implementation complexity, the different algorithms all have relatively similar performance.

SUBMITTER: Fast MF

PROVIDER: S-EPMC5736170 | biostudies-other | 2017 Dec

REPOSITORIES: biostudies-other

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Tumour auto-contouring on 2d cine MRI for locally advanced lung cancer: A comparative study.

Fast Martin F MF Eiben Björn B Menten Martin J MJ Wetscherek Andreas A Hawkes David J DJ McClelland Jamie R JR Oelfke Uwe U

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology 20171010 3

<h4>Background and purpose</h4>Radiotherapy guidance based on magnetic resonance imaging (MRI) is currently becoming a clinical reality. Fast 2d cine MRI sequences are expected to increase the precision of radiation delivery by facilitating tumour delineation during treatment. This study compares four auto-contouring algorithms for the task of delineating the primary tumour in six locally advanced (LA) lung cancer patients.<h4>Material and methods</h4>Twenty-two cine MRI sequences were acquired ...[more]

PMID: 29029832

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Project description:Two-dimensional (2D) strain analysis is constrained by geometry-dependent reference directions of deformation (i.e. radial, circumferential, and longitudinal) following the assumption of cylindrical chamber architecture. Three-dimensional (3D) principal strain analysis may overcome such limitations by referencing intrinsic (i.e. principal) directions of deformation. This study aimed to demonstrate clinical feasibility of 3D principal strain analysis from routine 2D cine MRI with validation to strain from 2D tagged cine analysis and 3D speckle tracking echocardiography. Thirty-one patients undergoing cardiac MRI were studied. 3D strain was measured from routine, multi-planar 2D cine SSFP images using custom software designed to apply 4D deformation fields to 3D cardiac models to derive principal strain. Comparisons of strain estimates versus those by 2D tagged cine, 2D non-tagged cine (feature tracking), and 3D speckle tracking echocardiography (STE) were performed. Mean age was 51?±?14 (36% female). Mean LV ejection fraction was 66?±?10% (range 37-80%). 3D principal strain analysis was feasible in all subjects and showed high inter- and intra-observer reproducibility (ICC range 0.83-0.97 and 0.83-0.98, respectively-p?<?0.001 for all directions). Strong correlations of minimum and maximum principal strain were respectively observed versus the following: 3D STE estimates of longitudinal (r?=?0.81 and r?=?-0.64), circumferential (r?=?0.76 and r?=?-0.58) and radial (r?=?-0.80 and r?=?0.63) strain (p?<?0.001 for all); 2D tagged cine estimates of longitudinal (r?=?0.81 and r?=?-0.81), circumferential (r?=?0.87 and r?=?-0.85), and radial (r?=?-0.76 and r?=?0.81) strain (p?<?0.0001 for all); and 2D cine (feature tracking) estimates of longitudinal (r?=?0.85 and -0.83), circumferential (r?=?0.88 and r?=?-0.87), and radial strain (r?=?-0.79 and r?=?0.84, p?<?0.0001 for all). 3D principal strain analysis is feasible using routine, multi-planar 2D cine MRI and shows high reproducibility with strong correlations to 2D conventional strain analysis and 3D STE-based analysis. Given its independence from geometry-related directions of deformation this technique may offer unique benefit for the detection and prognostication of myocardial disease, and warrants expanded investigation.

Dataset Information

Tumour auto-contouring on 2d cine MRI for locally advanced lung cancer: A comparative study.

Publications

Tumour auto-contouring on 2d cine MRI for locally advanced lung cancer: A comparative study.

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