Automated liver segmental volume ratio quantification on non-contrast T1-Vibe Dixon liver MRI using deep learning

PURPOSE

To evaluate the effectiveness of automated liver segmental volume quantification and calculation of the liver segmental volume ratio (LSVR) on a non-contrast T1-vibe Dixon liver MRI sequence using a deep learning segmentation pipeline.

METHOD

A dataset of 200 liver MRI with a non-contrast 3 mm T1-vibe Dixon sequence was manually labeledslice-by-sliceby an expert for Couinaud liver segments, while portal and hepatic veins were labeled separately. A convolutional neural networkwas trainedusing 170 liver MRI for training and 30 for evaluation. Liver segmental volumes without liver vessels were retrieved and LSVR was calculated as the liver segmental volumes I-III divided by the liver segmental volumes IV-VIII. LSVR was compared with the expert manual LSVR calculation and the LSVR calculated on CT scans in 30 patients with CT and MRI within 6 months.

RESULTS

Theconvolutional neural networkclassified the Couinaud segments I-VIII with an average Dice score of 0.770 ± 0.03, ranging between 0.726 ± 0.13 (segment IVb) and 0.810 ± 0.09 (segment V). The calculated mean LSVR with liver MRI unseen by the model was 0.32 ± 0.14, as compared with manually quantified LSVR of 0.33 ± 0.15, resulting in a mean absolute error (MAE) of 0.02. A comparable LSVR of 0.35 ± 0.14 with a MAE of 0.04 resulted with the LSRV retrieved from the CT scans. The automated LSVR showed significant correlation with the manual MRI LSVR (Spearman r = 0.97, p < 0.001) and CT LSVR (Spearman r = 0.95, p < 0.001).

CONCLUSIONS

A convolutional neural network allowed for accurate automated liver segmental volume quantification and calculation of LSVR based on a non-contrast T1-vibe Dixon sequence.

Information processing in patients with intracranial tumours: a preliminary evaluation of the clinical utility of inspection time

Psychomotor slowing is a common feature in many patients with intracranial tumours. We therefore performed a preliminary study to determine if inspection time, a measure of the efficiency of the brain's information processing, was impaired in patients with intracranial tumours. Inspection time, and some other neuropsychological and functional tests, were compared in 23 people with intracranial tumours and 24 spinal surgery controls prior to surgery. Groups were matched for sex, age and education. Inspection time scores were poorer in the brain tumour group (p < 0.003) and the effect size was moderate (eta2 = 0.197). The brain tumour group also had lower scores on the Boston Aphasia Severity Rating Scale, more anxiety on the Hospital Anxiety Depression Scales, but better Karnovsky Performance scores. Other cognitive and functional tests showed no significant differences between the groups, although group sizes were small. There were no significant changes in inspection time after spinal surgery; however, after intracranial tumour surgery, approximately 30% of patients showed no change, 30% deteriorated and 40% improved. This preliminary study suggests that recording inspection time, in a neuro-oncological setting, may prove informative and practically useful in assessing non-motor processing speed in people with brain tumours.