scholarly journals Postoperative Spinal CT: What the Radiologist Needs to Know

Radiographics ◽  
2019 ◽  
Vol 39 (6) ◽  
pp. 1840-1861 ◽  
Author(s):  
Nevil Ghodasara ◽  
Paul H. Yi ◽  
Karen Clark ◽  
Elliot K. Fishman ◽  
Mazda Farshad ◽  
...  
Keyword(s):  
Spinal Ct

Coning of spinal CT images in low back pain

1985 ◽  
Vol 144 (6) ◽  
pp. 1320-1320
Author(s):  
FM Hall ◽  
SK Sussman
Keyword(s):  
Low Back Pain ◽  
Back Pain ◽  
Ct Images ◽  
Low Back ◽  
Spinal Ct

Application of deep learning for clinical predictive modeling: An artificial intelligence recognition in spinal metastases.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e18050-e18050 ◽  
Author(s):  
Hui Zhao ◽  
Guangyu Yao ◽  
Yiyi Zhou ◽  
Zhiyu Wang
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Data Augmentation ◽  
Malignant Tumors ◽  
Spinal Metastases ◽  
Ct Images ◽  
Spinal Ct ◽  
Metastatic Lesions ◽  
Set Up ◽  
Vertebrae Segmentation

e18050 Background: Spinal metastases are very common outcomes within solid malignant tumors, which could lead to various skeletal related events (SREs). The accurate and timely diagnosis is the key to improve prognosis. Recently, artificial intelligence(AI) has assisted doctors in many ways by different AI technologies. In this study, we applicated a deep learning model to classify and locate the metastatic lesions on spinal CT images. Methods: We set up a dataset consisting of 800 patients’ spinal CT images, which contained over 300,000 CT slices. And we built a multi-label classification and vertebrae segmentation model to recognize the metastatic lesions on spinal CT images. Then we trained and tested this model within our dataset, using a data augmentation by random flips and random rotations. Sensitivity and specificity were used to evaluate the performance of the model. Results: Our model showed that the diagnostic utilities of normal lesions were: sensitivity 81.7% and specificity 92%; while the diagnostic utilities of metastatic lesions were: sensitivity 84.7% and specificity 84.5%. Conclusions: Our model can effectively and accurately discriminate spinal metastases on spinal CT images. [Table: see text]

Spinal CT Segmentation Based on AttentionNet and DenseUnet

2020 ◽  
Vol 57 (20) ◽  
pp. 201008
Author(s):  
田丰源 Tian Fengyuan ◽  
周明全 Zhou Mingquan ◽  
闫峰 Yan Feng ◽  
范力 Fan Li ◽  
耿国华 Geng Guohua
Keyword(s):  
Spinal Ct ◽  
Ct Segmentation

The use of computed tomography of the spine to identify patients at high risk for epidural metastases.

1985 ◽  
Vol 3 (11) ◽  
pp. 1541-1544 ◽  
Author(s):  
D E Weissman ◽  
M Gilbert ◽  
H Wang ◽  
S A Grossman
Keyword(s):  
Computed Tomography ◽  
High Risk ◽  
Epidural Space ◽  
Metastatic Cancer ◽  
Metastatic Tumor ◽  
Vertebral Level ◽  
Tumor Extension ◽  
Ct Myelography ◽  
Full Extent ◽  
Spinal Ct

The usefulness of spinal computed tomography (CT) in predicting the presence of epidural tumor was evaluated in cancer patients undergoing CT myelography for suspected epidural tumor. Two hundred ninety two vertebral levels were evaluated in 30 patients. Spinal CT demonstrated cortical disruption surrounding the epidural space from metastatic cancer in 109 vertebrae. Eighty-five (78%) of these vertebral levels had tumor extension into the adjacent epidural space. The incidence of epidural tumor adjacent to vertebrae which had normal spinal CT or metastatic tumor without cortical disruption was 11%. Eighty-six percent of the epidural tumor adjacent to these vertebrae were a result of craniocaudal tumor extension in the epidural space from adjacent vertebral levels with cortical disruption. Twenty-one of 23 patients (91%) with cortical disruption at more than one vertebral level on spinal CT had epidural tumor. Synchronous noncontiguous epidural lesions were observed in 38% of patients with epidural tumor. Spinal CT is an important diagnostic test in determining which patients are at high risk for epidural tumor. Myelography should be performed in all patients with suspected epidural tumor to accurately define the full extent of tumor.

Pedicle Screw Instrumentation of the Cervicothoracic Junction in the Sitting Position using CT-guided Navigation: Application and Technical Aspects

2021 ◽  
Vol 82 (02) ◽  
pp. 176-181
Author(s):  
Nirjhar Hore ◽  
Hannes Lücking ◽  
Hubert Schmitt ◽  
Michael Buchfelder ◽  
Sebastian Brandner
Keyword(s):  
Pedicle Screw ◽  
Pedicle Screws ◽  
Sitting Position ◽  
Cervicothoracic Junction ◽  
Ct Guided ◽  
Technical Aspects ◽  
Pedicle Screw Instrumentation ◽  
Spinal Ct ◽  
Spinal Navigation ◽  
User Friendly

Abstract Background We evaluate the feasibility and potential advantages of spinal CT navigation in the placement of pedicle screws at the cervicothoracic junction in the sitting position to counteract the anatomy-related limitations of 2D fluoroscopy. Methods We retrospectively analyze the data from 15 patients who underwent CT-based navigation-guided placement of a total of 36 pedicle screws at the cervicothoracic junction in the sitting position. Results CT-based spinal navigation is a useful method in increasing accuracy of pedicle screw instrumentation in the sitting position, successfully counteracting the anatomy-related limitations of 2D fluoroscopy at the cervicothoracic junction. Conclusion CT-based navigation-guided placement of pedicle screws at the cervicothoracic junction in the sitting position proved to be an accurate, safe, and user-friendly method.

Fluoroscopically guided epidural blood patch with subsequent spinal CT scans in the treatment of spontaneous cerebrospinal fluid hypovolemia

2011 ◽  
Vol 114 (6) ◽  
pp. 1731-1735 ◽  
Author(s):  
Keisuke Watanabe ◽  
Keiji Hashizume ◽  
Masahiko Kawaguchi ◽  
Aki Fujiwara ◽  
Noriyuki Sasaoka ◽  
...  
Keyword(s):  
Contrast Medium ◽  
Epidural Blood Patch ◽  
Autologous Blood ◽  
Ct Scans ◽  
Ct Myelography ◽  
Spinal Ct ◽  
Blood Patch ◽  
Epidural Puncture ◽  
Csf Leakage ◽  
Leakage Area

Object Recent evidence has indicated that the efficacy of the epidural blood patch (EBP) in the treatment of spontaneous CSF hypovolemia (SCH) is still limited. Therefore, further improvement of the EBP technique is an important clinical challenge. The authors describe a series of cases of SCH treated with fluoroscopically guided placement of an EBP and followed up with subsequent spinal CT scans. Methods Thirteen patients with SCH that was proven on CT myelography studies underwent epidural puncture under fluoroscopic guidance and received an injection of a mixture of contrast medium and autologous blood. Contrast medium was injected to cover the area of CSF leakage during EBP guided by fluoroscopy, and the spread of the blood was subsequently evaluated using spinal CT scanning. If the amount of blood injected was insufficient to cover the leakage area, a second EBP was performed at a later date. Results At the first EBP procedure, a mixture with a mean volume of 9.4 ml (range 3–20 ml) was injected, and subsequent spinal CT scans revealed contrast enhancement in the desired epidural space in 12 of 13 patients. In 2 patients, a second EBP was required because of insufficient coverage of the leakage area or delayed recurrence of headache. In all patients, a complete recovery from orthostatic headache was obtained after the last EBP. Conclusions The results indicated that fluoroscopically guided EBP and subsequent spinal CT scans may provide a highly effective therapy in patients with SCH proven on CT myelography studies.

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