Global sagittal angle and spinopelvic sagittal alignment: a step toward investigation of sagittal plane deformity in upper lumbar disc herniation

Author(s):  
Mehdi Nikoobakht ◽  
Mohammad Pourmahmoudian ◽  
Peter Carlos Gerszten ◽  
Mostafa Pourmahmoudian
2016 ◽  
Vol 25 (5) ◽  
pp. 1382-1388 ◽  
Author(s):  
Junseok Bae ◽  
Sang-Ho Lee ◽  
Sang-Ha Shin ◽  
Jin Suk Seo ◽  
Kyeong Hwan Kim ◽  
...  

1999 ◽  
Vol 48 (3) ◽  
pp. 726-729
Author(s):  
Tomomasa Kajikawa ◽  
Yuji Taoka ◽  
Hidehiro Yamada ◽  
Kazuo Hatada ◽  
Kazuhisa Nanamori ◽  
...  

2011 ◽  
Vol 51 (6) ◽  
pp. 423-426 ◽  
Author(s):  
Motoyuki IWASAKI ◽  
Minoru AKINO ◽  
Kazutoshi HIDA ◽  
Shunsuke YANO ◽  
Takeshi AOYAMA ◽  
...  

2003 ◽  
Vol 17 (2) ◽  
pp. 113-118
Author(s):  
Kinya Nakanishi ◽  
Junya Hanakita ◽  
Yoshihiro Kawahara ◽  
Tsukasa Satou ◽  
Masashi Oda ◽  
...  

2021 ◽  
Author(s):  
Gang Yu ◽  
Wenlong Yang ◽  
Jingkun Zhang ◽  
Qi Zhang ◽  
Jian Zhou ◽  
...  

Abstract Objective: To investigate and verify the efficiency and effectiveness the the value of nomogram based on radiomics label in predicting the treatment of lumbar disc herniation (LDH). Methods: The clinical medical records and imaging data of 200 patients with LDH diagnosed in the Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine in the past 3 years have been analyzed retrospectively. The collected cases are randomly divided into a training group (n=140) and a test group (n=60) with ratio of 7:3. Two radiologists with experience in reading orthopaedics images are independently segmented ROI, the whole intervertebral disc with the most obvious protrusion in the sagittal plane T2WI of lumbar MRI as a mask (ROI) are sketched. The LASSO algorithm is used to filter the features after extracting the radiomics features. The multivariate Logistic regression model is used to construct a quantitative imaging Rad‑Score for the selected features with non-zero coefficients. The radiomics labels and nomogram were evaluated using the receiver operating characteristic curve (ROC) and the area under the curve (AUC). The calibration curve is used to evaluate the consistency between the nomogram prediction and the actual treatment plan. The DCA decision curve is used to evaluate the clinical applicability of nomogram. Result: Following the feature extraction, 11 radiomics features are used to construct the radiomics label for predicting the treatment plan of LDH, The nomogram was then constructed. The AUC was 0.930 (95%CI:0.865-0.995) with a sensitivity of 96.8% and a specificity of 90%. The calibration curve shows that there is a good consistency between the prediction and the actual observation. The DCA decision curve analysis shows that the nomogram of imaging group has a great potential for clinical application when the risk threshold is over 10%. Conclusion: The nomogram based on radiomics label has a good predictive value for the treatment of LDH and therefore can be used as a reference for clinical decision-making.


1982 ◽  
Vol 57 (6) ◽  
pp. 813-817 ◽  
Author(s):  
M. N. Estridge ◽  
Stanley A. Rouhe ◽  
Neil G. Johnson

✓ The femoral stretching test is a valuable sign in diagnosing upper lumbar nerve root compression. We believe that it has the same significance for upper lumbar disc herniation as the sciatic stretching test has for the lower.


Sign in / Sign up

Export Citation Format

Share Document