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The persistence of tumor load in multiple myeloma (MM) lead to relapse in patients achieving complete remission (CR). Appropriate and effective methods of myeloma tumor load monitoring are important for guiding clinical management. This study aimed to clarify the value of microvesicles in monitoring MM tumor load. Microvesicles in bone marrow and peripheral blood were isolated by differential ultracentrifugation and detected by flow cytometry. Western blotting was applied to assess myosin light chain phosphorylation levels. Flow cytometry to detect Ps+CD41a-, Ps+CD41a-CD138+, Ps+CD41a-BCMA+ microvesicles from bone marrow can be used to predict myeloma burden, furthermore, Ps+CD41a- microvesicles may as a potential index to MRD test. Mechanistically, the releasing of microvesicles from MM cell was regulated by Pim-2 Kinase via Phosphorylation of MLC-2 protein.
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BACKGROUND: At present, imaging is used not only to show the form of images, but also to make three-dimensional (3D) reconstructions and visual simulations based on original data to guide clinical surgery. This study aimed to assess the use of a medical image-processing system in liver transplantation surgery. METHODS: The data of abdominal 64-slice spiral CT scan were collected from 200 healthy volunteers and 37 liver cancer patients in terms of hepatic arterial phase, portal phase, and hepatic venous phase. A 3D model of abdominal blood vessels including the abdominal aorta system, portal vein system, and inferior vena cava system was reconstructed by an abdominal image processing system to identify vascular variations. Then, a 3D model of the liver was reconstructed in terms of hepatic segmentation and liver volume was calculated. The FreeForm modeling system with a PHANTOM force feedback device was used to simulate the real liver transplantation environment, in which the total process of liver transplantation was completed. RESULTS: The reconstructed model of the abdominal blood vessels and the liver was clearly demonstrated to be three-dimensionally consistent with the anatomy of the liver, in which the variations of abdominal blood vessels were identified and liver segmentation was performed digitally. In the model, liver transplantation was simulated subsequently, and different modus operandi were selected successfully. CONCLUSION: The digitized medical image processing system may be valuable for liver transplantation.
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Trasplante de Hígado/métodos , Cirugía Asistida por Computador/métodos , Tomografía Computarizada Espiral , Vasos Sanguíneos , Estudios de Casos y Controles , Femenino , Humanos , Hígado/irrigación sanguínea , Hígado/cirugía , Neoplasias Hepáticas/irrigación sanguínea , Neoplasias Hepáticas/cirugía , MasculinoRESUMEN
BACKGROUND: The aim of this study was to evaluate a visible simulation surgery technique for choosing the best surgical plan in patients with intrahepatic calculi. METHODS: A medical image processing system was used to process computed tomography (CT) scanning data collected from four cases of intrahepatic calculi. Models of liver and bile ducts in standard template library format were processed by a free-form modeling system and reconstructed three-dimensionally. Accurate digital information about the bile duct system, lesions, calculi distribution, and adjacent organs from all directions, multiple angles, and multi-strata were used to choose the best surgical plan. Then, visible simulation surgery was performed with simulation operation software. RESULTS: Three-dimensionally reconstructed models provide clarity with strong relief perception and a user-friendly interface. Visible simulation surgery performed based on three-dimensionally reconstructed models led to optimal operation planning. CONCLUSIONS: Visible simulation surgery is more objective and complete than routine preoperative examinations to choose the best operation plan for intrahepatic calculi.
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Conductos Biliares Intrahepáticos , Simulación por Computador , Cálculos Biliares/diagnóstico por imagen , Cálculos Biliares/cirugía , Interpretación de Imagen Radiográfica Asistida por Computador/instrumentación , Tomografía Computarizada Espiral , Toma de Decisiones Asistida por Computador , Humanos , Imagenología Tridimensional , Interfaz Usuario-ComputadorRESUMEN
OBJECTIVE: To study the three-dimensional (3D) reconstruction and the visualization simulation surgery of spleen based on the scanning data of 64-slice helical computed tomograph (CT). METHODS: The original data of 64-slice helical CT of spleen was collected, and then the CT image sequences were segmented and automatically extracted using auto-adapted region growth algorithm, and were conducted with the segmented images by adopt self-developed image processing software for 3D reconstruction. Finally, the 3D models were imported into FreeForm Modeling System for modifying and smooth. And the visualization simulation surgery was performed before splenectomy. RESULTS: It was fast and effective to utilize auto-adapted region growth algorithm to conduct spleen image program segmentation; the reconstructed models were seen clearly and could reappear the structure of the spleen and the important surrounding organs. The effect of the splenectomy simulation surgery was similar to the practical surgery. CONCLUSIONS: The research on 3D models of spleen and visualization simulation surgery of splenectomy could lead to clinical benefits. It maybe improve the surgical effect and decrease the surgical risk and reduce the complication demonstrating visualized operation before surgery.
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Simulación por Computador , Modelos Anatómicos , Bazo/diagnóstico por imagen , Esplenectomía , Adulto , Femenino , Humanos , Procesamiento de Imagen Asistido por Computador , Imagenología Tridimensional , Tomografía Computarizada EspiralRESUMEN
OBJECTIVE: To assess the feasibility of visual-reality technique for simulating surgical resection of pancreatic tail carcinoma using a 3-dimensional pancreas model reconstructed on the basis of the CT data. METHODS: The original image data of 64-slice spiral CT was obtained from a patient with pancreatic tail carcinoma. Using adaptive region growing algorithm, the serial CT images were segmented and automatically extracted for 3-dimensional reconstruction of the pancreas and the anatomically related structures with a self-designed program. The model was then processed with Freeform Modeling System for image modification and smoothing. With the assistance of GHST SDK and PHANTOM software systems, preoperative simulation of surgical resection of the carcinoma was performed on the basis of the established pancreatic model. RESULTS: The reconstructed 3-dimensional pancreatic model with the related structures clearly visualized the 3-dimensional structures of the pancreas, the pancreatic tail compromised by the carcinoma, and the adjacent organs, displaying also the distribution, courses and the anatomical relations of the ductal systems including the main pancreatic duct, abdominal aorta, portal vein system, and the biliary tract. During simulated surgery for pancreatic tail carcinoma resection, the GHOST SDK system allowed effective application of the virtual surgical instruments, and the use of PHANTOM software produced a surgical experience with high resemblance of that from an actual operation. CONCLUSION: The serial CT data-based reconstruction of 3-dimensional pancreas model and simulated operation on this model using virtual-reality technique has great potentials for application in individualized surgical planning and surgical risk assessment in cases of pancreatic tail carcinoma, and also facilitates clinical training of the surgeons.
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Simulación por Computador , Imagenología Tridimensional/métodos , Modelos Biológicos , Neoplasias Pancreáticas/cirugía , Femenino , Humanos , Persona de Mediana Edad , Neoplasias Pancreáticas/diagnóstico por imagen , Tomografía Computarizada Espiral , Interfaz Usuario-ComputadorRESUMEN
OBJECTIVE: To study the two-dimensional (2D) image segmentation, three-dimensional (3D) reconstruction and virtual surgery of cholecystectomy based on the 2D image data of the liver, biliary track and cholecystolithiasis obtained by 64-slice spiral CT. METHODS: The image data of the liver, biliary track and cholecystolithiasis were obtained by 64-slice spiral CT scanning. Segmentation and automatic extraction of the images were performed using auto-adapting region growing algorithm. 3D reconstruction of the segmented data was carried out using MIMICS10.0 and self-designed software, and the data of the 3D model of the liver with the billiary tract were imported into FreeForm Modeling System for registration and smoothing. Virtual surgery of cholecystotomy for calculus removal and cholecystectomy were performed with Phantom. RESULTS: The auto-adapting region growing algorithm allowed rapid image segmentation, and the 3D model of the liver based on the segmentation data clearly displayed vivid 3D structures of the liver. Virtual operations of cholecystectomy could be performed in the FreeForm Modeling System. CONCLUSION: The algorithm we proposed can correctly and rapidly complete image segmentation and 3D reconstruction of cholecystolithiasis from the data 64-slice spiral CT, and allows virtual operations on the gallbladder.
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Colecistectomía , Colecistolitiasis/cirugía , Colecistostomía , Cirugía Asistida por Computador/métodos , Colecistolitiasis/diagnóstico por imagen , Simulación por Computador , Instrucción por Computador/métodos , Humanos , Imagenología Tridimensional/métodos , Tomografía Computarizada Espiral , Interfaz Usuario-ComputadorRESUMEN
OBJECTIVE: To study the clinical value of 3-dimensional (3D) reconstruction of the liver and its ductal structures using 64-slice spiral CT data in hepatobiliary surgery. METHODS: The image data of 64-slice spiral CT scanning was obtained from patients with biliary calculi. Image segmentation was performed both using computer programs and manually, and 3D reconstruction of the liver was carried out using Mimics software. The reconstructed model of the liver and the ductal system was exported in STL format, and then into the FreeForm Modeling System for modification and smoothing, followed by image registration of the liver with the ductal system and the calculi. RESULTS: The reconstructed liver model accurately represented the actual size of the liver and its anatomic landmarks, and by adjusting the transparency of the liver, the hepatic and intrahepatic arteries, veins, the portal vein, some abdominal vessels and the biliary system with the calculi were clearly visualized. The calculi in the intrahepatic and extrahepatic bile ducts were distinct in terms of the location and number, and dilation and stenosis of the intrahepatic and extrahepatic bile ducts were also clearly observed. The model presented with realistic profile of the liver that allowed vivid 3D observation. The model also allowed zooming and rotation for observation in full views. CONCLUSIONS: The reconstructed model of the liver and its ductal system can be useful for preoperative planning and intraoperative complete removal of the calculi from the bile duct, and for the bile duct dilation and stenosis detected in the model, appropriate measures should be taken to reduce the residual calculi and prevent reoccurrence.