1.Significance of precise classification of sacral meningeal cysts by multiple dimensions radiographic reconstruction MRI in guiding operative strategy and rehabilitation.
Jianjun SUN ; Qianquan MA ; Xiaoliang YIN ; Chenlong YANG ; Jia ZHANG ; Suhua CHEN ; Chao WU ; Jingcheng XIE ; Yunfeng HAN ; Guozhong LIN ; Yu SI ; Jun YANG ; Haibo WU ; Qiang ZHAO
Journal of Peking University(Health Sciences) 2025;57(2):303-308
OBJECTIVE:
To precise classify sacral meningeal cysts, effective guide minimally invasive neurosurgery and postoperative personalized rehabilitation by multiple dimensions radiographic reconstruction MRI.
METHODS:
From March to December 2021, based on the original 3D-fast imaging employing steadystate acquisition (FIESTA) scanning sequence, 92 patients with sacral meningeal cysts were pre-operatively evaluated by multiple dimensional reconstruction MRI. The shape of nerve root and the leakage of cyst were reconstructed according to the direction of nerve root or leakage track showed on original MRI scans. Sacral canal cysts were accurately classified as including nerve root and without nerve root, so as to accurately design the incision of skin and formulate corresponding open range of the posterior wall of the sacral canal. Under the microscope intraoperation, the shape of the nerve roots inside cysts or leakage track of the cysts without nerve roots were verified and explored. After the reinforcement and shaping operation, several reexaminations of multiple dimensional reconstruction MRI were performed to understand the deformation of the nerve root and hydrops in the operation cavity, so as to formulate a persona-lized rehabilitation plan for the patients.
RESULTS:
Among the 92 patients with sacral mengingeal cyst, 58 (63.0%) cysts with nerve root cyst, 29 (31.5%) cysts without nerve root cyst, and 5 (5.4%) cysts with mixed sacral canal cyst. In 58 patients with nerve root cysts, the accuracy of preoperative clinical classification on MRI image reached 96.6% (56/58) through confirmation by operating microscope. Only 2 cases of large single cyst with nerve root on the head of cyst were mistaken for without nerve root type. In 29 patients with sacral cyst without nerve root, the accuracy of preoperative image reached 100% through confirmation by operating microscope. The accuracy of judging the internal nerve root and leakage of 12 cases with recurrent sacral cyst was also 100%. Two cases of delayed postoperative hydrops were found one month after operation. After rehabilitation treatment by moxibustion and bathing, the hydrops disappeared 4-6 months after operation.
CONCLUSION
Multiple dimensional reconstruction MRI can precisely make clinical classification of sacral meningeal cysts before operation, guide minimally invasive neurosurgery effectively, and improve the rehabilitation effect.
Humans
;
Magnetic Resonance Imaging/methods*
;
Male
;
Female
;
Sacrum/surgery*
;
Adult
;
Middle Aged
;
Imaging, Three-Dimensional/methods*
;
Cysts/rehabilitation*
;
Aged
;
Adolescent
;
Young Adult
;
Spinal Nerve Roots/diagnostic imaging*
;
Minimally Invasive Surgical Procedures
;
Neurosurgical Procedures/methods*
2.AConvLSTM U-Net: a multi-scale jaw cyst segmentation model based on bidirectional dense connection and attention mechanism.
Suqiang LI ; Zhouyang WANG ; Sixian CHAN ; Xiaolong ZHOU
Journal of Southern Medical University 2025;45(5):1082-1092
OBJECTIVES:
We propose a multi-scale jaw cyst segmentation model, AConvLSTM U-Net, which is based on bidirectional dense connections and attention mechanisms to achieve accurate automatic segmentation of mandibular cyst images.
METHODS:
A dataset consisting of 2592 jaw cyst images was used. AConvLSTM U-Net designs a MBC on the encoding path to enhance feature extraction capabilities. A DPD was used to connect the encoder and decoder, and a bidirectional ConvLSTM was introduced in the jump connection to obtain rich semantic information. A decoding block based on scSE was then used on the decoding path to enhance the focus on important information. Finally, a DS was designed, and the model was optimized by integrating a joint loss function to further improve the segmentation accuracy.
RESULTS:
The experiment with AConvLSTM U-Net for jaw cyst lesion segmentation showed a MCC of 93.8443%, a DSC of 93.9067%, and a JSC of 88.5133%, outperforming all the other comparison segmentation models.
CONCLUSIONS
The proposed algorithm shows a high accuracy and robustness on the jaw cyst dataset, demonstrating its superior performance over many existing methods for automatic segmentation of jaw cyst images and its potential to assist clinical diagnosis.
Humans
;
Jaw Cysts/diagnostic imaging*
;
Algorithms
;
Image Processing, Computer-Assisted/methods*
;
Neural Networks, Computer
3.A retrospective study of the effects of different surgical procedures on the mandibular nerve canal involved by odontogenic keratocyst.
Zeyu WANG ; Chongli DU ; Dong WANG ; Xiao PENG ; Yue DU ; Hanying WANG ; Tingyi GAO ; Rui HAN ; Kai ZHANG
West China Journal of Stomatology 2025;43(1):106-113
OBJECTIVES:
This study aims to evaluate the changes in the mandibular canal following the treatment of large odontogenic keratocysts through decompression and curettage, providing a theoretical basis for sequential treatment.
METHODS:
Twenty patients were selected for each decompression and curettage treatment of large odontogenic keratocysts in the mandible. Postoperative follow-up with was conducted every three months, during which cone beam computed tomography (CBCT) scans were performed. Then, the data were imported into MIMICS software to observe 3D changes in the position and structure of the mandibular nerve canal, followed by a comparative analysis.
RESULTS:
The total displacement of the mandibular canal was (1.89±0.21) mm on the decompression side and (0.80±0.19) mm on the curettage side. Vertically, the displacement range of the mandibular canal on the decompression side (M=1.03, SD=0.17) was larger than on the curettage side (M=0.52, SD=0.010) within nine months post-operation. In the buccal-lingual direction, the ratio of the thickness of the buccal plate to the lingual plate gradually increased with time. The amount of bone reconstruction at the part of the mandibular nerve canal closest to the cyst was (1.75±0.15) mm on the decompression side and (1.45±0.09) mm on the curettage side after nine months.
CONCLUSIONS
The mandibular nerve canal showed varying degrees of recovery and "relocation" after two surgical procedures. Osteogenesis around the mandibular nerve canal was more remarkable after decompression than after curettage. Therefore, for large odontogenic keratocyst, decompression is recommended as the initial treatment, followed by secondary curettage nine months later.
Humans
;
Odontogenic Cysts/diagnostic imaging*
;
Retrospective Studies
;
Cone-Beam Computed Tomography
;
Decompression, Surgical/methods*
;
Mandibular Nerve/surgery*
;
Mandible/innervation*
;
Curettage
;
Male
;
Female
;
Adult
;
Middle Aged
4.Application of Deep Learning in Differential Diagnosis of Ameloblastoma and Odontogenic Keratocyst Based on Panoramic Radiographs.
Min LI ; Chuang-Chuang MU ; Jian-Yun ZHANG ; Gang LI
Acta Academiae Medicinae Sinicae 2023;45(2):273-279
Objective To evaluate the accuracy of different convolutional neural networks (CNN),representative deep learning models,in the differential diagnosis of ameloblastoma and odontogenic keratocyst,and subsequently compare the diagnosis results between models and oral radiologists. Methods A total of 1000 digital panoramic radiographs were retrospectively collected from the patients with ameloblastoma (500 radiographs) or odontogenic keratocyst (500 radiographs) in the Department of Oral and Maxillofacial Radiology,Peking University School of Stomatology.Eight CNN including ResNet (18,50,101),VGG (16,19),and EfficientNet (b1,b3,b5) were selected to distinguish ameloblastoma from odontogenic keratocyst.Transfer learning was employed to train 800 panoramic radiographs in the training set through 5-fold cross validation,and 200 panoramic radiographs in the test set were used for differential diagnosis.Chi square test was performed for comparing the performance among different CNN.Furthermore,7 oral radiologists (including 2 seniors and 5 juniors) made a diagnosis on the 200 panoramic radiographs in the test set,and the diagnosis results were compared between CNN and oral radiologists. Results The eight neural network models showed the diagnostic accuracy ranging from 82.50% to 87.50%,of which EfficientNet b1 had the highest accuracy of 87.50%.There was no significant difference in the diagnostic accuracy among the CNN models (P=0.998,P=0.905).The average diagnostic accuracy of oral radiologists was (70.30±5.48)%,and there was no statistical difference in the accuracy between senior and junior oral radiologists (P=0.883).The diagnostic accuracy of CNN models was higher than that of oral radiologists (P<0.001). Conclusion Deep learning CNN can realize accurate differential diagnosis between ameloblastoma and odontogenic keratocyst with panoramic radiographs,with higher diagnostic accuracy than oral radiologists.
Humans
;
Ameloblastoma/diagnostic imaging*
;
Deep Learning
;
Diagnosis, Differential
;
Radiography, Panoramic
;
Retrospective Studies
;
Odontogenic Cysts/diagnostic imaging*
;
Odontogenic Tumors
5.Application of chromosomal microarray analysis for fetuses with choroid plexus cysts.
Keqin JIN ; Jun ZHANG ; Xiayuan XU ; Liping ZHANG ; Yanfen YANG ; Shuangshuang SHEN
Chinese Journal of Medical Genetics 2022;39(12):1334-1338
OBJECTIVE:
To assess the value of chromosomal microarray analysis (CMA) for fetuses with choroid plexus cysts (CPC) detected by prenatal ultrasonography.
METHODS:
Amniotic fluid chromosomal karyotype was analyzed in 104 fetuses with CPC, and copy number variations (CNVs) among the fetuses were detected by using CMA.
RESULTS:
Ten fetuses (9.62%) were found to have an abnormal karyotype, and 14 additional CNVs were detected in those with a normal karyotype. The fetuses were divided into isolated CPC group (n = 87) and non-isolated CPC group (n = 17) based on the presence of additional ultrasonographic abnormalities. The detection rates for karyotypic abnormalities of the two groups were 4.6% and 35.3%, respectively, whilst those for the CMA were 4.6% and 47.1%, respectively. The detection rates for karyotypic abnormalities and CMA of the non-isolated CPC group were significantly higher than those of the isolated CPC group (P < 0.05). The detection rate for CMA in the non-isolated group was significantly higher than chromosomal karyotype abnormalities (P < 0.05). Among the 8 fetuses with abnormal CMA, 4 had single umbilical artery, 3 had abnormal cardiac structure, and 2 had enhanced intestinal echo.
CONCLUSION
CPC is closely associated with chromosomal abnormalities. Chromosome karyotype analysis in combination with CMA can effectively detect fetal chromosomal abnormalities and provide a basis for genetic counseling.
Humans
;
Female
;
Pregnancy
;
DNA Copy Number Variations
;
Choroid Plexus/diagnostic imaging*
;
Microarray Analysis
;
Karyotype
;
Chromosome Aberrations
;
Amniotic Fluid
;
Cysts
6.Multimodal imaging analysis of the cyst like lesion of condyle in temporomandibular joint.
Hua Wei LIU ; Yong Feng LI ; Xiao Dan MU ; Lei XIANG ; Chang Kui LIU ; Min HU
Chinese Journal of Stomatology 2022;57(2):142-148
Objective: To investigate the imaging features of condylar cystic degeneration of temporomandibular joint (TMJ) by cone-beam CT (CBCT), spiral CT, MRI and radionuclide bone imaging. Methods: From January 2018 to December 2020, thirty-two patients with cyst-like lesions of condylein temporomandibular joint were examined by CBCT, spiral CT, MRI and radionuclide bone imaging at the Department of Oral and Maxillofacial Surgery in General Hospital of Chinese PLA. There were 12 males and 20 females involved, aged from 16 to 65 years with an average age of (33.9±12.5) years. The characteristics of CBCT, spiral CT, MRI and radionuclide bone imaging were analyzed. Condylar cyst like lesions were classified as type A and type B based on the presence or absence of surface bone defects. Condylar cyst like lesions were classified as type Ⅰ(yes) and type Ⅱ(no) according to the accompanying bone marrow edema-like lesions of the condyles. The incidence of condylar bone marrow edema, disc displacement and abnormal bone metabolism were analyzed. Results: A total of 64 joint images of 32 patients were included, including 34 sides with TMJ cyst-like lesion and 6 sides with multiple cyst-like lesions,the total cyst-like lesions were 42. The largest diameter of cyst-like lesion ranged from 1.0 to 12.4 mm, with an average length of (3.7± 1.8) mm. There were 24 cases of type A TMJ cyst like lesion and 10 cases of type B cyst-like lesion. The detection rate of CBCT was 95.2% (40/42) and that of spiral CT was 100% (42/42), there was no significant difference (Calibration Chi-square=0.51, P=0.474). The detection rate of nuclear magnetic resonance was 80.1% (34/42), and the detection rate of cyst-like lesions less than 2 mm was 3/11. In the cyst like lesion side, there were 9 sides with anterior disc displacement with reduction, 20 sides with anterior disc displacement without reduction. In the non-cyst like lesion side, 10 sides with anterior disc displacement with reduction and 6 sides with anterior disc displacement without reduction. There was a significant difference in the displacement of the disc between cyst-like and non-cystic lesion side (χ²=7.80, P=0.005). MRI showed that 6 cases of cystic side[17.6% (6/34)] had bone marrow edema-like lesions (all type A), 1 case of non-cyst like lesions side [3.3% (1/30)] had bone marrow edema-like lesion, there was no significant difference between cystic and non-cystic lesions (Calibration Chi-square=2.04, P=0.153). There was a significant difference between type A and B cystic lesions (Fisher exact probability method, P=0.024). Radionuclide bone imaging showed abnormal bone metabolism in 26 patients in the cyst-like lesion side and 5 patients in the non-cyst like lesion side (χ²=22.82, P<0.001). Conclusions Multi-slice Spiral CT could detect the cyst-like lesion of TMJ condyle in the early stage, which is different from the large joint. And the formation mechanism may vary from the different classifications.
Adolescent
;
Adult
;
Aged
;
Cysts
;
Female
;
Humans
;
Joint Dislocations
;
Magnetic Resonance Imaging
;
Male
;
Mandibular Condyle/diagnostic imaging*
;
Middle Aged
;
Multimodal Imaging
;
Temporomandibular Joint/diagnostic imaging*
;
Temporomandibular Joint Disc
;
Temporomandibular Joint Disorders/diagnostic imaging*
;
Young Adult
7.Analysis of a child with megalencephalic leukoencephalopathy with subcortical cyst type 2B caused by HEPACAM variant.
Chinese Journal of Medical Genetics 2020;37(5):543-546
OBJECTIVE:
To explore the clinical features and genetic variant in a child featuring megalencephalic leukoencephalopathy with subcortical cyst (MLC) type 2B.
METHODS:
Clinical and imaging data of the child was collected. Potential variant of hepatocyte adhesion molecule (HEPACAM) gene was detected by Sanger sequencing. The growth and development of her mother and uncle was also reviewed.
RESULTS:
The patient, a 1-year-and-7-month female, presented with convulsion, mental retardation and abnormally increased head circumference. Cranial MRI revealed extensive long T1 long T2 signals in the white matter of bilateral cerebral hemisphere, right anterior sac cyst, cerebral gyrus widening, and shallow sulcus. Sanger sequencing identified a c.437C>T missense variant in exon 3 of the HEPACAM gene. The same variant was detected in her mother but not father. Her mother and maternal uncle both had a history of increased head circumference when they were young. In their adulthood, the head circumference was in the normal range but still greater than the average.
CONCLUSION
The heterozygous variant of the HEPACAM gene probably underlies the MLC2B in this child. The variant has derived from her asymptomatic mother, which suggested incomplete penetrance of the MLC2B.
Adult
;
Cell Cycle Proteins
;
genetics
;
Cerebrum
;
diagnostic imaging
;
Cysts
;
diagnostic imaging
;
genetics
;
Female
;
Genetic Variation
;
Hereditary Central Nervous System Demyelinating Diseases
;
diagnostic imaging
;
genetics
;
Humans
;
Infant
8.Genetic analysis of a family of Van der Woude syndrome.
Yuqing XU ; Yeqing QIAN ; Weimiao YAO ; Minyue DONG
Journal of Zhejiang University. Medical sciences 2019;48(4):378-383
OBJECTIVE:
To analyze clinical and genetic features of a family affected with Van der Woude syndrome.
METHODS:
The umbilical cord blood of the proband and the peripheral blood of the parents were used for the whole exon sequencing to find the candidate gene.Peripheral blood of 9 members of the family were collected for Sanger sequencing verification, bioinformatics analysis and genotype-phenotype correlation analysis.
RESULTS:
The proband was diagnosed with cleft lip and palate by ultrasound. His father and grandmother had hollow lower lip and all other family members did not have the similar phenotype. A missense c.263A>G (p.N88S) mutation was found in exon 4 of gene in the proband, his father and his grandmother.The mutation was not found in other family members.
CONCLUSIONS
A missense c.263A>G (p.N88S) mutation in gene probably underlies the pathogenesis of Van der Woude syndrome in the family and the mutation has been firstly discovered in China.
Abnormalities, Multiple
;
genetics
;
China
;
Cleft Lip
;
complications
;
diagnostic imaging
;
etiology
;
genetics
;
Cleft Palate
;
complications
;
diagnostic imaging
;
etiology
;
genetics
;
Cysts
;
complications
;
genetics
;
Female
;
Humans
;
Interferon Regulatory Factors
;
genetics
;
Lip
;
abnormalities
;
Male
;
Mutation
;
Pedigree
;
Ultrasonography
9.Diagnosis of gastric duplication cysts in a child by endoscopic ultrasonography.
Xin-Tong LYU ; Xiao-Li PANG ; Lan WU ; Li-Bo WANG
Chinese Medical Journal 2019;132(4):488-490
Child
;
Cysts
;
diagnostic imaging
;
Endosonography
;
methods
;
Female
;
Gastric Mucosa
;
diagnostic imaging
;
Humans
;
Stomach
;
diagnostic imaging
;
Ultrasonography
;
methods
10.Zinner's syndrome: clinical features and imaging diagnosis.
Xiao-Song JIANG ; Huan-Jun WANG ; Jin-Hua LIN ; Yan GUO ; Can-Hui SUN ; Ling LIN ; Jian GUAN
Asian Journal of Andrology 2018;20(3):316-317
Abnormalities, Multiple/diagnostic imaging*
;
Adolescent
;
Adult
;
Cysts/diagnostic imaging*
;
Dysuria/etiology*
;
Hemospermia/etiology*
;
Humans
;
Magnetic Resonance Imaging
;
Male
;
Male Urogenital Diseases/diagnostic imaging*
;
Seminal Vesicles/diagnostic imaging*
;
Solitary Kidney/diagnostic imaging*
;
Syndrome
;
Tomography, X-Ray Computed
;
Young Adult

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