Xiu Chen1, Liang Wang1, Xiuyun Li1, Pinguo Fu2, Maosheng Xu1, Chunpeng Zou1, Xingwang Li2, Yanyan Dong1. 1. Department of Ultrasonic Diagnosis, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China. 2. Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Abstract
BACKGROUND: Anterior talofibular ligament (ATFL) injury affects ankle joint stability. To date, very few studies have examined tissue stiffness changes inside injured ligaments. Virtual touch tissue imaging quantification (VTIQ) allows for the non-invasive quantitative measurement of tissue stiffness. The present study aimed to examine the efficacy of VTIQ as a method for detecting ligament injury. METHODS: A total of 206 patients diagnosed with unilateral ATFL type I injury (81 acute cases, 69 subacute cases, and 56 chronic cases) were reviewed retrospectively. Shear wave velocity (SWV) values were collected from both the injured and non-affected sides of the ATFL using a virtual touch tissue imaging quantification technique (ACUSON Oxana 2, Siemens Medical Solutions USA, Inc.). RESULTS: The average SWV of injured ATFL was 4.09±1.15 m/s in the acute group, 5.60±1.39 m/s in the subacute group, and 7.74±1.44 m/s in the chronic group (P<0.001). The SWV values of the ATFL on the non-affected side were almost identical (acute 7.50±1.12 m/s, subacute 7.53±1.06 m/s, and chronic 7.61±1.30 m/s; P>0.05). The injured ATFL had a significantly lower SWV value than the non-affected ATFL in the acute and subacute groups (P<0.001); however, there was no significant difference in the chronic group (P>0.05). Concerning the validity of SWV as a predictor of acute and subacute ATFL injury, the receiver operator characteristics curve analysis showed that the best cut-off point for SWV was 6.165 m/s, with 84.3% sensitivity, 88.5% specificity, and an area under the curve of 0.93 (95% CI, 0.90-0.95). CONCLUSIONS: VTIQ is a reliable sonographic method for detecting acute and subacute ATFL type I injury. 2021 Quantitative Imaging in Medicine and Surgery. All rights reserved.
BACKGROUND: Anterior talofibular ligament (ATFL) injury affects ankle joint stability. To date, very few studies have examined tissue stiffness changes inside injured ligaments. Virtual touch tissue imaging quantification (VTIQ) allows for the non-invasive quantitative measurement of tissue stiffness. The present study aimed to examine the efficacy of VTIQ as a method for detecting ligament injury. METHODS: A total of 206 patients diagnosed with unilateral ATFL type I injury (81 acute cases, 69 subacute cases, and 56 chronic cases) were reviewed retrospectively. Shear wave velocity (SWV) values were collected from both the injured and non-affected sides of the ATFL using a virtual touch tissue imaging quantification technique (ACUSON Oxana 2, Siemens Medical Solutions USA, Inc.). RESULTS: The average SWV of injured ATFL was 4.09±1.15 m/s in the acute group, 5.60±1.39 m/s in the subacute group, and 7.74±1.44 m/s in the chronic group (P<0.001). The SWV values of the ATFL on the non-affected side were almost identical (acute 7.50±1.12 m/s, subacute 7.53±1.06 m/s, and chronic 7.61±1.30 m/s; P>0.05). The injured ATFL had a significantly lower SWV value than the non-affected ATFL in the acute and subacute groups (P<0.001); however, there was no significant difference in the chronic group (P>0.05). Concerning the validity of SWV as a predictor of acute and subacute ATFL injury, the receiver operator characteristics curve analysis showed that the best cut-off point for SWV was 6.165 m/s, with 84.3% sensitivity, 88.5% specificity, and an area under the curve of 0.93 (95% CI, 0.90-0.95). CONCLUSIONS: VTIQ is a reliable sonographic method for detecting acute and subacute ATFL type I injury. 2021 Quantitative Imaging in Medicine and Surgery. All rights reserved.
Authors: Thomas W Kaminski; Jay Hertel; Ned Amendola; Carrie L Docherty; Michael G Dolan; J Ty Hopkins; Eric Nussbaum; Wendy Poppy; Doug Richie Journal: J Athl Train Date: 2013 Jul-Aug Impact factor: 2.860
Authors: Stephanie W Hou; Alexander N Merkle; James S Babb; Robert McCabe; Soterios Gyftopoulos; Ronald S Adler Journal: J Ultrasound Med Date: 2016-12-03 Impact factor: 2.153
Authors: Cassandra Thompson; Siobhan Schabrun; Rick Romero; Andrea Bialocerkowski; Jaap van Dieen; Paul Marshall Journal: Sports Med Date: 2018-01 Impact factor: 11.136
Authors: Kevin Staats; Manuel Sabeti-Aschraf; Sebastian Apprich; Hannes Platzgummer; Stephan E Puchner; Johannes Holinka; Reinhard Windhager; Reinhard Schuh Journal: Knee Surg Sports Traumatol Arthrosc Date: 2017-05-15 Impact factor: 4.342
Authors: T Golditz; S Steib; K Pfeifer; M Uder; K Gelse; R Janka; F F Hennig; G H Welsch Journal: Osteoarthritis Cartilage Date: 2014-05-09 Impact factor: 6.576