scholarly journals Automatic Discoid Lateral Meniscus Diagnosis from Radiographs Based on Image Processing Tools and Machine Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Xibai Li ◽  
Yan Sun ◽  
Juyang Jiao ◽  
Haoyu Wu ◽  
Chunxi Yang ◽  
...  

The aim of the present study is to build a software implementation of a previous study and to diagnose discoid lateral menisci on knee joint radiograph images. A total of 160 images from normal individuals and patients who were diagnosed with discoid lateral menisci were included. Our software implementation includes two parts: preprocessing and measurement. In the first phase, the whole radiograph image was analyzed to obtain basic information about the patient. Machine learning was used to segment the knee joint from the original radiograph image. Image enhancement and denoising tools were used to strengthen the image and remove noise. In the second phase, edge detection was used to quantify important features in the image. A specific algorithm was designed to build a model of the knee joint and measure the parameters. Of the test images, 99.65% were segmented correctly. Furthermore, 97.5% of the tested images were segmented correctly and their parameters were measured successfully. There was no significant difference between manual and automatic measurements in the discoid ( P = 0.28 ) and control groups ( P = 0.15 ). The mean and standard deviations of the ratio of lateral joint space distance to the height of the lateral tibial spine were compared with the results of manual measurement. The software performed well on raw radiographs, showing a satisfying success rate and robustness. Thus, it is possible to diagnose discoid lateral menisci on radiographs with the help of radiograph-image-analyzing software (BM3D, etc.) and artificial intelligence-related tools (YOLOv3). The results of this study can help build a joint database that contains data from patients and thus can play a role in the diagnosis of discoid lateral menisci and other knee joint diseases in the future.

Author(s):  
Ravi Kant Jain ◽  
Abhishek Jain ◽  
Pranav Mahajan

<p class="abstract"><strong>Background:</strong> The objective of this study is to evaluate the tibiofemoral joint space width in the medial and lateral compartments of the knee using digital radiograph. The measurement of knee joint space width (JSW), in between the femur and the tibia is a way of evaluating the tibio-femoral cartilage thickness. This study is aimed at establishing normal references of joint space width for use in diagnosis and follows up of knee cartilage diseases.</p><p class="abstract"><strong>Methods:</strong> This study is prospective and carried on 50 subjects at SAMC &amp; PGI, Indore, M.P. One patient refused to sign the consent and was excluded. All subjects were healthy adults with sedentary lifestyle. All subjects underwent x-ray of bilateral knee joints. The joint space width of both medial and lateral compartments of each knee was measured using the scale in the computerized software.<strong></strong></p><p class="abstract"><strong>Results:</strong> The average age in the study group was 44.59 years with male preponderance.The mean left medial and lateral joint space width was 5.34 mm±1.26 mm and 5.21 mm±1.04 mm and on right side was 5.26±1.11 mm and 5.57±1.57 mm, respectively. No statistically significant difference was found between right and left knee joint space width compartments.</p><p class="abstract"><strong>Conclusions:</strong> The values obtained after observing the radiographic references showed no significant gender variation in knee joint space width. But, it is seen that there is a decrease in joint space width with increasing age, which progresses towards osteoarthritis of knee.</p>


1994 ◽  
Vol 43 (4) ◽  
pp. 1429-1431
Author(s):  
Eiji Kawaguchi ◽  
Chika Tanaka ◽  
Hiroshi Kinuhara ◽  
Tatsuhiro Samuno ◽  
Kunihiko Tomoda ◽  
...  

2016 ◽  
Vol 45 (3) ◽  
pp. 570-577 ◽  
Author(s):  
Shinya Yamasaki ◽  
Yusuke Hashimoto ◽  
Junsei Takigami ◽  
Shozaburo Terai ◽  
Shinji Takahashi ◽  
...  

2020 ◽  
Author(s):  
Woo Young Jang ◽  
Chaemoon Lim ◽  
Chang Ho Shin ◽  
Tae-Joon Cho ◽  
In Ho Choi ◽  
...  

Abstract Background A high fibular location on plain radiographs has been considered suggestive of a discoid lateral meniscus (DLM). We sought to determine whether the high location of the fibular head observed in DLM patients represents a true pathologic finding. Methods Eighty-two patients with symptomatic DLM who underwent arthroscopic treatment constituted the study group (DLM group). The same number of age-matched patients without DLM (control group) were recruited. The DLM group was further divided according to the presence or absence of a knee extension block (EB) of more than 10 degrees into EB(+) and EB(-) subgroups. We defined the compensated distance to the fibular head (CDF) as the distance from the lateral joint line to the tip of the fibular head divided by the femoral condylar width. CDF values measured on anteroposterior (AP) plain radiographs and sagittal MR images were compared between the DLM and control groups and between the EB(+) and EB(-) subgroups. Results There was no significant difference in the mean preoperative CDF value on either AP plain radiographs or sagittal MR images between the DLM and control groups. However, the mean CDF value on AP plain radiographs was significantly lower in the EB(+) subgroup than in the EB(-) subgroup ( p =0.011). The knee EB disappeared in all patients after arthroscopic treatment when the CDF on AP plain radiographs showed no significant difference between subgroups ( p >0.05). Linear regression analysis revealed that the CDF on AP plain radiographs decreased significantly when knee flexion was increased from 0 to 30 degrees ( p =0.003). Conclusions The high fibular location observed on AP plain radiography in DLM patients was associated with limited knee extension. Altered X-ray beam projection to the flexed knee creates the false appearance of a high fibular location on AP plain radiography.


2017 ◽  
Vol 0 (2(70)) ◽  
pp. 147-151
Author(s):  
О. А. Бур’янов ◽  
Ю. Л. Соболевський ◽  
О. В. Рябікін ◽  
Л. А. Міроняк ◽  
Ф. Хасанзаде Гасабех

Sign in / Sign up

Export Citation Format

Share Document