Texture Analysis of Gray-Scale Ultrasound Images for Staging of Hepatic Fibrosis
Purpose To evaluate the feasibility of texture analysis of gray-scale ultrasound (US) images for staging of hepatic fibrosis. Materials and Methods Altogether, 167 patients who had undergone routine US and laboratory tests for a fibrosis-4 (FIB-4) index were included. Texture parameters were meas...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The Korean Society of Radiology
2021-01-01
|
| Series: | 대한영상의학회지 |
| Subjects: | |
| Online Access: | https://doi.org/10.3348/jksr.2019.0185 |
| _version_ | 1818370288503488512 |
|---|---|
| author | Eun Joo Park Seung Ho Kim Sang Joon Park Tae Wook Baek |
| author_facet | Eun Joo Park Seung Ho Kim Sang Joon Park Tae Wook Baek |
| author_sort | Eun Joo Park |
| collection | DOAJ |
| description | Purpose To evaluate the feasibility of texture analysis of gray-scale ultrasound (US) images for
staging of hepatic fibrosis.
Materials and Methods Altogether, 167 patients who had undergone routine US and laboratory
tests for a fibrosis-4 (FIB-4) index were included. Texture parameters were measured using a
dedicated in-house software. Regions of interest were placed in five different segments (3, 5, 6,
7, 8) for each patient. The FIB-4 index was used as the reference standard for hepatic fibrosis
grade. Comparisons of the texture parameters between different fibrosis groups were performed
with the Student’s t-test or Mann-Whitney U-test. Diagnostic performance was evaluated
by receiver operating curve analysis.
Results The study population comprised of patients with no fibrosis (FIB-4 < 1.45, n = 50), mild
fibrosis (1.45 ≤ FIB-4 ≤ 2.35, n = 37), moderate fibrosis (2.35 < FIB-4 ≤ 3.25, n = 27), and severe
fibrosis (FIB-4 > 3.25, n = 53). Skewness in hepatic segment 5 showed a difference between patients
with no fibrosis and mild fibrosis (0.2392 ± 0.3361, 0.4134 ± 0.3004, respectively, p =
0.0109). The area under the curve of skewness for discriminating patients with no fibrosis from
those with mild fibrosis was 0.660 (95% confidence interval, 0.551–0.758), with an estimated accuracy,
sensitivity, specificity of 64%, 87%, 48%, respectively.
Conclusion A significant difference was observed regarding skewness in segment 5 between
patients with no fibrosis and patients with mild fibrosis. |
| first_indexed | 2024-12-13T23:37:21Z |
| format | Article |
| id | doaj.art-929bf2c7644440648c76d10ae77db746 |
| institution | Directory Open Access Journal |
| issn | 2288-2928 |
| language | English |
| last_indexed | 2024-12-13T23:37:21Z |
| publishDate | 2021-01-01 |
| publisher | The Korean Society of Radiology |
| record_format | Article |
| series | 대한영상의학회지 |
| spelling | doaj.art-929bf2c7644440648c76d10ae77db7462022-12-21T23:27:16ZengThe Korean Society of Radiology대한영상의학회지2288-29282021-01-01821116127https://doi.org/10.3348/jksr.2019.0185Texture Analysis of Gray-Scale Ultrasound Images for Staging of Hepatic FibrosisEun Joo Park0Seung Ho Kim1Sang Joon Park2Tae Wook Baek3Department of Radiology, Inje University College of Medicine, Haeundae Paik Hospital, Busan, KoreaDepartment of Radiology, Inje University College of Medicine, Haeundae Paik Hospital, Busan, KoreaDepartment of Radiology, Seoul National University Hospital, Seoul, KoreaDepartment of Radiology, Inje University College of Medicine, Haeundae Paik Hospital, Busan, KoreaPurpose To evaluate the feasibility of texture analysis of gray-scale ultrasound (US) images for staging of hepatic fibrosis. Materials and Methods Altogether, 167 patients who had undergone routine US and laboratory tests for a fibrosis-4 (FIB-4) index were included. Texture parameters were measured using a dedicated in-house software. Regions of interest were placed in five different segments (3, 5, 6, 7, 8) for each patient. The FIB-4 index was used as the reference standard for hepatic fibrosis grade. Comparisons of the texture parameters between different fibrosis groups were performed with the Student’s t-test or Mann-Whitney U-test. Diagnostic performance was evaluated by receiver operating curve analysis. Results The study population comprised of patients with no fibrosis (FIB-4 < 1.45, n = 50), mild fibrosis (1.45 ≤ FIB-4 ≤ 2.35, n = 37), moderate fibrosis (2.35 < FIB-4 ≤ 3.25, n = 27), and severe fibrosis (FIB-4 > 3.25, n = 53). Skewness in hepatic segment 5 showed a difference between patients with no fibrosis and mild fibrosis (0.2392 ± 0.3361, 0.4134 ± 0.3004, respectively, p = 0.0109). The area under the curve of skewness for discriminating patients with no fibrosis from those with mild fibrosis was 0.660 (95% confidence interval, 0.551–0.758), with an estimated accuracy, sensitivity, specificity of 64%, 87%, 48%, respectively. Conclusion A significant difference was observed regarding skewness in segment 5 between patients with no fibrosis and patients with mild fibrosis.https://doi.org/10.3348/jksr.2019.0185liverfibrosisultrasoundliver diseasecomputersoftwarediagnosis |
| spellingShingle | Eun Joo Park Seung Ho Kim Sang Joon Park Tae Wook Baek Texture Analysis of Gray-Scale Ultrasound Images for Staging of Hepatic Fibrosis 대한영상의학회지 liver fibrosis ultrasound liver disease computer software diagnosis |
| title | Texture Analysis of Gray-Scale Ultrasound Images for Staging of Hepatic Fibrosis |
| title_full | Texture Analysis of Gray-Scale Ultrasound Images for Staging of Hepatic Fibrosis |
| title_fullStr | Texture Analysis of Gray-Scale Ultrasound Images for Staging of Hepatic Fibrosis |
| title_full_unstemmed | Texture Analysis of Gray-Scale Ultrasound Images for Staging of Hepatic Fibrosis |
| title_short | Texture Analysis of Gray-Scale Ultrasound Images for Staging of Hepatic Fibrosis |
| title_sort | texture analysis of gray scale ultrasound images for staging of hepatic fibrosis |
| topic | liver fibrosis ultrasound liver disease computer software diagnosis |
| url | https://doi.org/10.3348/jksr.2019.0185 |
| work_keys_str_mv | AT eunjoopark textureanalysisofgrayscaleultrasoundimagesforstagingofhepaticfibrosis AT seunghokim textureanalysisofgrayscaleultrasoundimagesforstagingofhepaticfibrosis AT sangjoonpark textureanalysisofgrayscaleultrasoundimagesforstagingofhepaticfibrosis AT taewookbaek textureanalysisofgrayscaleultrasoundimagesforstagingofhepaticfibrosis |