1.An analysis of abnormal magnetic resonance imaging of sacroiliac joints in patients misdiagnosed as spondyloarthritis
Zheng ZHAO ; Yanyan WANG ; Jingyu JIN ; Xiaohu DENG ; Feng HUANG
Chinese Journal of Internal Medicine 2014;53(9):724-729
Objective To study the imaging features of sacroiliac joints(SIJ) in patients who were misdiagnosed as spondyloarthritis(SpA).Methods A total of 34 patients with chief complaint of back pain and misdiagnosed as SpA from January 2007 to April 2013 in Department of Rheumatology Chinese PLA General Hospital were enrolled.The imaging,clinical manifestations,laboratory examinations data were analyzed.Result The main reason for misdiagnosis as SpA was because of sacroiliitis presenting on imaging.The final diagnoses included 24 patients as SIJ infection,4 patients as neoplastic diseases,2 patients as metabolic bone diseases,2 patients as sacroiliac joint degeneration,1 patient as gout of sacroiliac joint,1 patient as diffuse idiopathic bone hypertrophy.For patients with infection,there were 10 patients receiving X-ray and 22 patients receiving CT of SIJ.However,5 and 7 patients had negative results respectively.These patients with infection had abnormalities in MRI including all with bone marrow edema,21 patients with erosion of bone and joint,22 patients with muscle involved.As to the patients with malignancies,SIJ CT scan appeared normal.Bone marrow edema and erosion in MRI were found in all neoplasm patients expect one as ependymoma.Adjacent muscles were involved in the patient with Ewing's sarcoma.Either X-ray or CT in other patients demonstrated obvious abnormalities,but only mild erosion of bone was found in MRI.Conclusion Bone marrow edema of SIJ in MRI represented not only in patients with SpA.Rheumatologists should analyze the clinical manifestations and laboratory examinations comprehensively in order to avoid the misdiagnoses.
2.Study on expression profile of mRNA in brain of pronuclear transfer mice
Tianjie LI ; Yanxiang CAO ; Xiaohu JIN ; Hongcui ZHAO ; Yang YU ; Jie QIAO
Tianjin Medical Journal 2016;44(10):1213-1216
Objective To investigate the expression profile of mRNAs in brain samples collected from pronuclear transfer (PNT) mice. Methods Female CD-1 mice were superovulated, and zygotes were collected after mating with adult male mice. Zygotes with two pronuclei were selected for pronuclear transfer manipulation, and then the reconstructed zygotes were transferred into the oviduct of pseudopregnant female mice. The infant mice obtained from pronuclear transfer were called PNT group, while the embryoes that were not performed pronuclear transfer was regarded as control group. Total RNA were extracted from brain samples of both PNT and control mice, and cDNA were labeled with fluorescent dye. Genes that were differentially expressed were identified using the Agilent mouse mRNA array. Gene ontology analysis and pathway analysis were also completed. Results Compared with control group, 392 mRNAs were expressed differentially, which showed more than 2.0 times variation and statistical significance, accounting for 1.7% of all mRNAs. Among those 366 mRNAs were up-regulated and 26 mRNAs were down-regulated. Eleven mRNAs came to 4.0 times variation in total. Gene ontology analysis indicated that differentially expressed genes were significantly enriched in alternative mRNA splicing, small GTPase mediated signal transduction, regulation of insulin receptor signaling pathway, hydrolase activity, transmembrane transporter activity and pyrophosphatase activity. Significant enriched pathway terms contained ion channel transport, fatty acid metabolism, butanoate metabolism, triacylglycerol and ketone body metabolism. Conclusion Pronuclear transfer might influence some key metabolism process in mouse brain.
3.Exploring of Education for Professionals of Rehabilitation Therapy
Haifeng LI ; Junhua WANG ; Yuanhong XU ; Xiaohu ZHU ; Gang WANG ; Jincai FENG ; Jin XIE
Chinese Journal of Rehabilitation Theory and Practice 2009;15(6):595-597
The education of rehabilitation therapy specialty is the important task and content of the modern rehabilitation medicine education. The professionals of rehabilitation therapy are far from the needs of the further development of rehabilitation medicine, therefore the education of professionals are more important. Many Medical Colleges began with the education of rehabilitation therapy specialty. Basing on the traditional educational mode, we tried to reform and innovate in all ways including educational ideas, educational concepts, educational Methods , educational contents, and educational instruments and so on to develop the rehabilitation therapists with modern ideas.
4.Course Construction for Rehabilitation Therapy Specialty of Three-year
Haifeng LI ; Junhua WANG ; Yuanhong XU ; Jin XIE ; Xiaohu ZHU ; Gang WANG ; Feng GAO
Chinese Journal of Rehabilitation Theory and Practice 2012;18(9):893-895
The education of rehabilitation therapy is important in the modern rehabilitation medicine education. The course of rehabilitation therapy specialty cannot meet the needs of the education. Hubei University of Medicine reformed the course arrangement, textbook construction, method and content of teaching from 2008 to develop the rehabilitation therapists with modern ideas
5.Automated Pre-delineation of CTV in Patients with Cervical Cancer Using Dense V-Net.
Wen GUO ; Zhongjian JU ; Wei YANG ; Shanshan GU ; Jin ZHOU ; Xiaohu CONG ; Jie LIU ; Xiangkun DAI
Chinese Journal of Medical Instrumentation 2020;44(5):409-414
We use a dense and fully connected convolutional network with good feature learning in small samples, to automatically pre-deline CTV of cervical cancer patients based on CT images and evaluate the effect. The CT data of stage IB and IIA postoperative cervical cancer with similar delineation scope were selected to be used to evaluate the pre-sketching accuracy from three aspects:sketching similarity, sketching offset and sketching volume difference. It has been proved that the 8 most representative parameters are superior to those with single network and reported internationally before. Dense V-Net can accurately predict CTV pre-delineation of cervical cancer patients, which can be used clinically after simple modification by doctors.
Automation
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Female
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Humans
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Machine Learning
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Patients
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Tomography, X-Ray Computed
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Uterine Cervical Neoplasms/diagnostic imaging*