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find Keyword "Multimodal" 49 results
  • Research progress of multimodal imaging in central serous chorioretinopathy

    Central serous chorioretinitis (CSC) is a kind of choroidal retinopathy characterized by choroidal vasodilatation and hyperpermeability, retinal pigment epithelial cell lesions and serous retinal detachment. Various imaging examinations and imaging techniques have been used to describe the characteristics of the retina and choroid. Fundus manifestations of different types of CSC has both generality, and have their respective characteristic. The classification of CSC and its differentiation from other diseases including the choroidal neovascularization and pachychoroidopathy spectrum depending on varieties of fundus imaging techniques. The current study aims to review the various performance characteristics of CSC especially for chronic CSC with multimodal imaging and the current research progress, so as to provide reference for ophthalmologists to more comprehensively and intuitively understand the clinical characteristics and potential pathogenesis of CSC, and also to provide basis for multimodal imaging assisted diagnosis and treatment.

    Release date:2023-05-18 10:05 Export PDF Favorites Scan
  • Update on Preoperative Staging Strategies in Rectal Cancer

    Objective To summarize recent advances on preoperative staging strategies in rectal cancer. Methods Relevant references about preoperative staging strategies were collected and reviewed. The multimodal preoperative evaluation (MPE) system recently documented was focused on. Results The comparably accurate T and M stage could be achieved preoperatively by following an appropriate available method; however, the N stage’s accuracy was still not satisfying. The MPE system, incorporating with the advantages of transrectal ultrasound, computerized tomography and serum amyloid A protein in a multi-disciplinary mode could display the most accurate preoperative staging for rectal cancer currently. Conclusion The MPE has potential prospects in preoperative staging of rectal cancer, and can provide the most accurate preoperative staging for rectal cancer at present.

    Release date:2016-09-08 11:05 Export PDF Favorites Scan
  • Research Progress of Multimodal Clinical Support System

    Objective  To explore the research progress of the multimodal clinical support system (CSS). Methods With recognized development and operation of the multi-model CSS, and compared to the traditional CSS, to explore the research progress of the multimodal CSS. Results Based on the realization of the concept, purpose and characteristics of the multimodal CSS, it has been known that the international research progress of the multimodal CSS. Conclusion The developing and evolving of the CSS model have offered a new assist to the multi-disciplinary treatment model, and have enhanced the improving system associated with the practice of evidence-based medicine. However, the application of clinical support system program (CSSP) in our country still needs more research.

    Release date:2016-09-08 11:49 Export PDF Favorites Scan
  • Current Status of Multimodal Therapy for A vanced Gastric Carcinoma

    Objective  To review the research advancement of multimodal therapy for advanced gast ric carcinoma. Methods  The literatures on multimodal therapy for advanced gastric carcinoma in recent years were collected and reviewed. Results  The multimodal therapy , such as preoperative chemotherapy , preoperative adjuvant chemoradiotherapy , preoperative interventional chemoradiotherapy for advanced gast ric carcinoma was effective because it could increase the rate of R0 resection for the patients with advanced gastric carcinoma. And it can decrease the mortality rate after operation , extend the overall survival time and improve patients’life quality. Conclusion  Multimodal therapy is a promising method for the treatment of advanced gastric carcinoma and it should be further developed.

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  • The clinical and imaging characteristics of acute idiopathic maculopathy

    ObjectiveTo observe the clinical and imaging characteristics of acute idiopathic macular degeneration (AIM).MethodsA retrospective clinical study. From March 2016 to January 2018, 5 eyes (5 AIM patients) in The Second People's Hospital of Yunnan Province were included in the study. Among them, there were 4 males (4 eyes) and 1 female (1 eye); all patients were monocular with the average age of 34.2 years. The course of illness from onset of symptoms to treatment was 4-22 days. All affected eyes were examined by BCVA, fundus color photography, OCT, FAF, and FFA. Among 5 eyes, 1 eye with optic disc vasculitis was given oral glucocorticoid treatment; 4 eyes were not interfered after the diagnosis. ResultsThe follow-up time was 6 months. During follow-up, BCVA, fundus color photography, and OCT examination were performed. The results were all a sudden decrease in monocular vision, accompanied by visual distortion or central dark spots. At the first visit, the BCVA was 0.1, 0.2, 0.2, 0.05, and 0.5; at the last follow-up, the BCVA of the affected eye was 0.8, 0.6, 0.5, 0.5, and 1.0, respectively. Fundus color photography showed that at the first diagnosis, all the affected eyes showed irregular round yellow-white lesions in the macular area, including 1 eye with small patches of hemorrhage and 1 eye with pseudopyous changes in the macular area. Two to three weeks after the initial diagnosis, the yellowish-white lesions and bleeding in the macular area were basically absorbed. The center of the lesion showed weak pseudopod-like fluorescence, and the surrounding area was surrounded by strong fluorescence in FAF examination. The irregular and strong fluorescence in the early macular area and accumulation of late fluorescein in FFA examination. One eye was receivied glucocorticoid therapy. The upper layer of the retinal nerve in the macular area was detached, and the inferior space showed focal strong reflective material in 3 eyes in OCT examination. At the first diagnosis, the retinal neuroepithelial layer was detached, the top of the RPE layer was irregular with strong reflective material, and the structure of the ellipsoid zone and the chimera zone was unclear; as the course of the disease prolonged, the outer retinal structure recovered.ConclusionsAIM is characterized by inflammatory exudative changes in the outer layer of the retina in the macular area; FFA is characterized by strong subretinal disc-like fluorescence or multifocal weak fluorescence in the macular area; OCT mainly manifests as neuroepithelial detachment and changes in the outer retina and RPE, The structure can be restored by itself.

    Release date:2020-11-19 09:16 Export PDF Favorites Scan
  • Role of Multimodal Preoperative Evaluation System in Prediction to Operative Strategies for Lower and Middle Rectal Cancer: A Randomized Controlled Trial

    Objective To determine the role of multimodal preoperative evaluation (MPE) system of transrectal ultrasound (TRUS), 64 multi-slice spiral computer tomography (MSCT) and serum amyloid A protein (SAA) in assessment of preoperative staging and selection of operative procedures of the lower and middle rectal cancer in multi-disciplinary team. Methods Prospectively enrolled 150 patients, who were diagnosed definitely as lower and middle rectal cancer (distance of tumor to the dentate line ≤10 cm) at West China Hospital of Sichuan University from November 2008 to March 2009, randomly assigned into two groups. In one group named MPE group, MPE consisting of TRUS, MSCT and SAA were made for the preoperative evaluation. In another group named MSCT+SAA group, both MSCT and SAA were made preoperatively. Then, the preoperative staging and predicted operative procedures were compared with postoperative pathologic staging and practical operative procedures, respectively. Furthermore, the pooled data were analyzed for the correlative relationship between the choice of surgery strategy and clinicopathological factors. Results According to the criteria, 146 patients with lower and middle rectal cancer were randomly assigned into MPE group (n=74) and MSCT+SAA group (n=72). The baselines characteristics of two groups were statistically identical. For MPE group the accuracy of preoperative staging T, N, M and TNM were 94.6% (70/74), 85.1% (63/74), 100% (74/74) and 82.4% (61/74), respectively; For MSCT+SAA group the corresponding rates were 77.8% (56/72), 84.7% (61/72), 100% (72/72) and 81.9% (59/72), respectively. The analysis showed a statistically difference in the accuracy of preoperative T staging between two groups (P=0.003) while there was no statistically significant difference of the accuracies of preoperative N, M and TNM staging between two groups (Pgt;0.05). There wasn’t a statistically significant increasing of the accuracy of prediction to operative procedures in MPE group compared with MSCT+SAA group 〔95.9% (71/74) vs.88.9% (64/72), P=0.106〕. When analyzing the relationship between multiple clinicopathologic factors and the operative procedures of lower and middle rectal cancer, there were statistical correlations between the pathological T staging (r=0.216, P=0.009), N staging (r=0.264, P=0.001), TNM staging (r=0.281, P=0.001), serum level of SAA before operation (r=0.252, P=0.002) or the distance of tumor to the dentate line (r=-0.261, P=0.001) and the operative procedures. Conclusion MPE system could display the accurate preoperative staging for lower and middle rectal cancer, on which the prediction of operative procedures can rest convincingly.

    Release date:2016-09-08 11:04 Export PDF Favorites Scan
  • An ensemble model for assisting early Alzheimer's disease diagnosis based on structural magnetic resonance imaging with dual-time-point fusion

    Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder. Due to the subtlety of symptoms in the early stages of AD, rapid and accurate clinical diagnosis is challenging, leading to a high rate of misdiagnosis. Current research on early diagnosis of AD has not sufficiently focused on tracking the progression of the disease over an extended period in subjects. To address this issue, this paper proposes an ensemble model for assisting early diagnosis of AD that combines structural magnetic resonance imaging (sMRI) data from two time points with clinical information. The model employs a three-dimensional convolutional neural network (3DCNN) and twin neural network modules to extract features from the sMRI data of subjects at two time points, while a multi-layer perceptron (MLP) is used to model the clinical information of the subjects. The objective is to extract AD-related features from the multi-modal data of the subjects as much as possible, thereby enhancing the diagnostic performance of the ensemble model. Experimental results show that based on this model, the classification accuracy rate is 89% for differentiating AD patients from normal controls (NC), 88% for differentiating mild cognitive impairment converting to AD (MCIc) from NC, and 69% for distinguishing non-converting mild cognitive impairment (MCInc) from MCIc, confirming the effectiveness and efficiency of the proposed method for early diagnosis of AD, as well as its potential to play a supportive role in the clinical diagnosis of early Alzheimer's disease.

    Release date:2024-06-21 05:13 Export PDF Favorites Scan
  • Multimodal imaging characteristics for presumed tuberculous retinal vasculitis

    Objective To observe the multimodal imaging characteristics of the eyes in patients with presumed tuberculous retinal vasculitis. Methods A retrospective case series study. A total of 15 patients (22 eyes) diagnosed with presumed tuberculous retinal vasculitis and receiving anti-tuberculosis treatment (ATT) effectively in Department of Ophthalmology, Subei People's Hospital Affiliated to Yangzhou University from January 2018 to April 2021 were included. Among them, there were 5 males and 10 females. Seven had bilateral involvement and 8 had unilateral involvement. The age was 49.3±11.1 years old. The best corrected visual acuity (BCVA), fundus colour photography, wide-angle fundus fluorescein angiography (FFA), and optical coherence tomography (OCT) were performed in all patients. Indocyanine green angiography (ICGA) was performed in 7 eyes. The BCVA examination was performed with the international standard visual acuity chart, which was converted into the logarithm of minimal angel resolution vision (logMAR). Systemic tuberculosis-related examinations included chest CT, serum T-spot, purified protein derivative and other tuberculosis-related tests. All patients were treated with systemic anti-tuberculosis therapy. The follow-up time was >12 months. The multimodal imaging characteristics for affected eyes. Nonparametric test was used to compare BCVA before and after treatment. ResultsThe retinal vessels of all the affected eyes were tortuously dilated, including 3 eyes with vascular white scabbard, 5 eyes with scattered bleeding point at the retina inculding 3 eyes walking along the vessels. The lesions were mainly distributed in the middle and periphery of the retina, and some of them involved the posterior pole; 12 eyes (54.5%, 12/22) with simple retinal vasculitis and 10 eyes (45.5%, 10/22) with retinal vasculitis complicated with choroiditis. Tuberculous retinal vasculitis showed different degrees of retinal vascular leakage on FFA, mainly retinal vein and capillary leakage, not involving arteries; 16 eyes (72.7%, 16/22) of retinal vasculitis showed peripheral occlusive retinal vasculitis and 4 eyes (18.2%, 4/22) were associated with retinal neovascularization. In 10 eyes with choroiditis, there were multiple focal choroiditis lesions of different sizes under the retina. Of the 7 eyes examined by ICGA, the choroidal inflammatory lesions showed hypofluorescent dark dots (HDD) in 5 eyes (71.4%,5/7), showing HDDs of different sizes, most of which were distributed in the posterior pole and middle periphery. In 10 eyes with retinal vasculitis complicated with choroiditis after ATT, the accumulation of hyper-reflective substances above and below the retinal pigment epithelium layer of the retina was gradually absorbed, but not completely disappeared, and most of the disorders of retinal structure could not be recovered. The average logMAR visual acuity was 0.61±0.57 before treatment and 0.36±0.55 after treatment. The BCVA after treatment was significantly higher than that before treatment (Z=-3.102, P<0.01). ConclusionsPeripheral occlusive retinal vasculitis is the most common manifestation of tuberculous retinal vasculitis in FFA, which may be accompanied by focal choroidal inflammatory lesions. Wide-angle FFA and ICGA are more important in the diagnosis of tuberculous retinal vasculitis. OCT can be used for monitoring the changes of inflammation.

    Release date:2022-12-16 10:13 Export PDF Favorites Scan
  • Multimodal imaging characteristics of retinal diseases associated with COVID-19

    Objective To observe the multimodal imaging features of retinal diseases associated with COVID-19. MethodsA retrospective case study. Sixteen patients (30 eyes) of retinal diseases associated with COVID-19 admitted to the Ophthalmology Department of the Second People's Hospital of Zhengzhou in December 2022 were included in the study. There were 5 males and 11 females, with the mean age of (26.69±9.88) years; 14 patients were bilateral and 2 patients were unilateral. The time of ocular symptoms after the diagnosis of COVID-19 was (2.63±0.89) days. All patients underwent the examinations of best corrtected visual acuity (BCVA), fundus color photography (FP), infrared fundus photography (IR), optical coherence tomography (OCT). Fluorescein fundus angiography (FFA) was performed in 2 patients (4 eyes). There were 20 eyes with acute macular neuroretinopathy (AMN), including 6 eyes with cotton wool spots; 10 eyes with Purtscher-like retinopathy (PLR). The BCVA of the patients was 0.1-1.0. No obvious abnormality was found in anterior segment examination. The features of FP, IR and OCT were analyzed retrospectively. ResultsIn 20 eyes of AMN, irregular reddish brown lesions in the central or paracentral area of the macula in 14 eyes; FP showed no obvious abnormality in 6 eyes; IR showed irregular map like low reflection in the central or paracentral area of macular in all eyes; OCT showed hyperreflectivity in outer plexiform layer and outer nuclear layer, hyporeflectivity in the ellipsoid zone and photoreceptor layers in all eyes; no abnormal fluorecence was observed in 2 eyes examined by FFA. In 10 eyes with PLR, cotton wool spots and retinal hemorrhage were observed in the posterior pole and/or peripapillary area, and the peripheral retina was generally normal, Purtscher spot was found in 5 eyes and macular edema in 4 eyes; OCT showed strong reflex signal in neuroepithelial layers, edema in neuroepithelial layers in 6 eyes; in the 2 eyes examined by FFA, fluorescein leakage from the retinal vein wall was observed, the posterior pole and peripapillary area retinal arteriole occlusions showed patchy hypofluorescence, the fluorescence was obscured by retinal hemorrhage below at inferior retina. ConclusionsFor AMN associated with COVID-19, IR can show the lesion contour , OCT shows lesions in the outer retina. PLR associated with COVID-19 are usually at the posterior pole and/or peripapillary area in FP, OCT shows neurocortical edema.

    Release date:2023-03-17 03:30 Export PDF Favorites Scan
  • Research on classification method of multimodal magnetic resonance images of Alzheimer’s disease based on generalized convolutional neural networks

    Alzheimer’s disease (AD) is a progressive and irreversible neurodegenerative disease. Neuroimaging based on magnetic resonance imaging (MRI) is one of the most intuitive and reliable methods to perform AD screening and diagnosis. Clinical head MRI detection generates multimodal image data, and to solve the problem of multimodal MRI processing and information fusion, this paper proposes a structural and functional MRI feature extraction and fusion method based on generalized convolutional neural networks (gCNN). The method includes a three-dimensional residual U-shaped network based on hybrid attention mechanism (3D HA-ResUNet) for feature representation and classification for structural MRI, and a U-shaped graph convolutional neural network (U-GCN) for node feature representation and classification of brain functional networks for functional MRI. Based on the fusion of the two types of image features, the optimal feature subset is selected based on discrete binary particle swarm optimization, and the prediction results are output by a machine learning classifier. The validation results of multimodal dataset from the AD Neuroimaging Initiative (ADNI) open-source database show that the proposed models have superior performance in their respective data domains. The gCNN framework combines the advantages of these two models and further improves the performance of the methods using single-modal MRI, improving the classification accuracy and sensitivity by 5.56% and 11.11%, respectively. In conclusion, the gCNN-based multimodal MRI classification method proposed in this paper can provide a technical basis for the auxiliary diagnosis of Alzheimer’s disease.

    Release date:2023-06-25 02:49 Export PDF Favorites Scan
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