| Literature DB >> 35154383 |
Phillip F C Lung1, Kapil Sahnan2, David Burling3, James Burn3, Phillip Tozer2, Nuha Yassin4, Samuel O Adegbola2, Rachel Baldwin-Cleland3, Janindra Warusavitarne2, Arun Gupta3, Omar Faiz2, Robin K S Phillips2, Ailsa L Hart2.
Abstract
BACKGROUND: Perianal Crohn's fistula and their response to anti-tumour necrosis factor (TNF) therapies are best assessed with magnetic resonance imaging (MRI), but radiologist reporting is subjective and variable. This study investigates whether segmentation software could provide precise and reproducible objective measurements of fistula volume.Entities:
Keywords: MRI; fistula: Crohn’s disease
Year: 2018 PMID: 35154383 PMCID: PMC8832291 DOI: 10.1177/1756284818793609
Source DB: PubMed Journal: Therap Adv Gastroenterol ISSN: 1756-283X Impact factor: 4.409
Figure 1.Example of manual segmentation of a perianal fistula. (a) An axial fat saturated T2 weighted image showing a complex high signal fistula (arrows). (b) The same image with the fistula having been manually segmented (now highlighted in red).
Patient fistula characteristics and their association with percentage volume change.
| Variable |
| Median % volume change (IQR) | |
|---|---|---|---|
| Fistula tract type | |||
| Intersphincteric | 3 | 514 (−78, 559) | 0.63 |
| Transphincteric | 12 | −5 (−61, 301) | |
| Extrasphincteric | 3 | −55 (−67, 217) | |
| Configuration | |||
| Solitary | 4 | 337 (54, 523) | 0.34 |
| Branched | 14 | −30 (−67, 217) | |
| Supralevator/ischioanal involvement | |||
| No | 3 | 515 (−78, 559) | 0.37 |
| Yes | 15 | −17 (−67, 217) | |
| Horseshoe sepsis | |||
| No | 9 | 186 (−47, 487) | 0.20 |
| Yes | 9 | −42 (−74, 17) | |
| Peri-fistula interstitial high signal | |||
| No | 6 | −47 (−74, 416) | 0.88 |
| Yes | 12 | 6 (−17, 217) | |
| Proctitis | |||
| No | 13 | 6 (−55, 416) | 0.59 |
| Yes | 5 | −42 (−82, 217) | |
IQR, interquartile range.
Categorical patient and disease factors, and their association with fistula volume change.
| Variable | Category |
| Mean fistula % volume percentage change (SD) | |
|---|---|---|---|---|
| Gender | ||||
| Male | 12 | −5 (−66, 337) | 0.71 | |
| Female | 6 | 85 (−67, 416) | ||
| Site affected at presentation | ||||
| Perianal disease only | 7 | −7 (−67, 217) | 0.62 | |
| Perianal + luminal disease | 11 | 6 (−74, 487) | ||
| Biologic therapy | ||||
| Infliximab | 12 | −45 (−70, 216) | 0.16 | |
| Adalimumab | 6 | 201 (6, 559) | ||
| Thiopurines | ||||
| No | 5 | −47 (−78, 6) | 0.30 | |
| Yes | 13 | 17 (−55, 416) | ||
SD, standard deviation.
Continuous patient and disease factors, and their association with fistula volume measurement.
| Variable | Correlation coefficient | |
|---|---|---|
| Age | −0.02 | 0.95 |
| Year of Crohn’s diagnosis | 0.11 | 0.65 |
| Time between Crohn’s diagnosis and scan | −0.08 | 0.74 |
| Year of fistula diagnosis | 0.08 | 0.75 |
| Time between fistula diagnosis and scan | −0.08 | 0.74 |
| Length of time between scans | −0.17 | 0.51 |
Figure 2.This perianal fistula (arrows) at similar levels shows a subjective improvement between baseline (a) and follow up (b). Manual segmentation is able to quantify this difference with a −42% percentage change in fistula volume.