430000
¸ÞŽÆäŸ¹Î Áßµ¶ ȯÀÚ¿¡¼­ÀÇ ³úÇ÷·ù º¯È­ ¿¬±¸
°¡Å縯´ëÇб³ ÇÙÀÇÇаú©ö Á¤½Å°ú©÷ ÀǰøÇаú©ø
Á¤¿ë¾È©ö£ª,±è´ëÁø©÷ ÁÖ¶óÇü©ø äÁ¤È£©÷ ±è¼ºÈÆ©ö ¼ÕÇü¼±©ö Á¤¼ö±³©ö
¸ñÀû: ¸ÞŽÆäŸ¹ÎÀº °­·ÂÇÑ Á¤½ÅÀÚ±ØÁ¦À̸ç Áßµ¶¼º¸¶¾àÁ¦ÀÌ°í ³ú½Å°æµ¶¼ºÀ» À¯¹ßÇÑ´Ù°í ¾Ë·ÁÁ® ÀÖ´Ù. ƯÈ÷ µµÆÄ¹Î¼¼Æ÷¿¡ ÀÏÂ÷ÀûÀ¸·Î ÀÛ¿ëÇÏ¿© ¼Õ»óÀ» ÁÖ´Â °ÍÀÌ º¸°íµÇ¾ú´Ù. ÇÏÁö¸¸ ¸ÞŽÆäŸ¹ÎÀ» ´ë·®À¸·Î Àå±â°£ »ç¿ëÇßÀ» °æ¿ì¿¡ ´ëÇÑ ³úµ¶¼º ¿¬±¸¿Í ³úÇ÷·ùº¯È­¿¡ °üÇÑ º¸°í´Â ¾ÆÁ÷ ¾ø´Ù. ÀÌ¿¡ ÀúÀÚµéÀº ¸¸¼º¸ÞŽÆäŸ¹Î Áßµ¶È¯ÀÚ¿¡¼­ ³úÇ÷·ù SEPCTÀ» ½ÃÇàÇÏ¿© ±¹¼Ò³úÇ÷·ùÀÇ º¯È­¸¦ ¾Ë¾Æº¸°í ȯÀÚµéÀÇ Ä¡·á¿Í ½Å°æÁ¤½Å»ý¸® ¿¬±¸¿¡ °üÇÑ ±âÃÊÀÚ·á·Î »ç¿ëÇϰíÀÚ ÇÑ´Ù. ¹æ¹ý:ȯÀÚ±ºÀº ¸ÞŽÆäŸ¹ÎÀ» ÃÖ¼ÒÇÑ 6°³¿ùÀÌ»ó Á¤¸ÆÀ» ÅëÇØ ´ë·®À¸·Î Åõ¿©ÇؿԴø ³²ÀÚ 18¸íÀ» ´ë»óÀ¸·Î ÇÏ¿´´Ù. À̵é ȯÀÚ±ºÀº ÇöÀç 6°³¿ù ÀÌ»ó ¸ÞŽÆäŸ¹ÎÀÇ »ç¿ëÀ» ÁßÁöÇϰí ÀÖ´Ù. Á¤»ó ´ëÁ¶±ºÀº ȯÀÚ±º°ú ³ªÀ̰¡ ¸Â´Â 15¸íÀÇ ³²¼ºÀ» ´ë»óÀ¸·Î ÇÏ¿´´Ù. Á¤»ó ´ëÁ¶±º°ú ȯÀÚ±º ¸ðµÎ¿¡¼­ Tc-99m ECD¸¦ Åõ¿©ÇÑ ÈÄ ³úÇ÷·ù SEPCTÀ» ¾ò¾úÀ¸¸ç SPMÀ» ÅëÇØ ºÐ¼®ÇÏ¿´´Ù. °á°ú:¸ÞŽÆäŸ¹Î Áßµ¶È¯ÀÚ¿¡¼­ ¾çÃø ±âÀúÇÙ°ú ½Ã»ó ±×¸®°í ¾çÃø º¯¿¬°èÀÇ ´ë»óÀ̶û, ¾çÃø ÀüµÎ¿±ÀÇ Áß°£ÀüµÎÀ̶û, ÁÂÃø ÃøµÎ¿±ÀÇ ¹æÃß»óÀ̶û µîÀÌ Ç÷·ù°¡ ÀÇÀÇÀÖ°Ô °¨¼ÒÇÏ¿´´Ù (corrected p<0.001, voxel>200). ¶ÇÇÑ ¸ÞŽ¹Î Áßµ¶È¯ÀÚ¿¡¼­ Ç÷·ù°¡ Áõ°¡ÇÑ ºÎÀ§´Â ¾çÃø ÀüµÎ¿±ÀÇ »óÀüµÎÀ̶û°ú ¾çÃø ¼Ò³úõ¸· µîÀ̾ú´Ù (corrected p < 0.005, voxel>200). °á·Ð:¸ÞŽÆäŸ¹ÎÀ» Àå±â°£ ´ë·®À¸·Î Åõ¿© ½Ã¿¡´Â ±¹¼ÒÀûÀÎ ³úÇ÷·ùÀÇ º¯È­°¡ ¹ß»ýÇÏ´Â °ÍÀ¸·Î ¿¬±¸µÇ¾ú´Ù. ÀÌ´Â ¾Æ¸¶µµ ¸ÞŽÆäŸ¹ÎÀÇ ÀýÁ¦¿¡µµ ºÒ±¸ÇÏ°í ±× È¸º¹ÀÌ ¾î·Æ´Ù°í ¾Ë·ÁÁ® ÀÖ´Â »ç½Ç¿¡ Ãß°¡µÉ ¼ö ÀÖÀ» °ÍÀÌ´Ù. ¶ÇÇÑ ¸ÞŽÆäŸ¹ÎÀÇ µµÆÄ¹Î °ü·Ã ³ú¿µ¿ªÀÇ ³úµ¶¼º°ú ÇÔ²² Ç÷·ùº¯È­ÀÇ ¹®Á¦¿¡ »õ·Î¿î °ü½ÉÀ» °®´Â ÀÚ·á·Î »ç¿ëµÉ ¼ö ÀÖÀ» °ÍÀÌ´Ù.



430003
Selection of Appropriate Template for Spatial Normalization of Brain Images: Tensor Based Morphometry
Department of Nuclear Medicine, Seoul National University College of Medicine
Jae Sung Lee£ª,Dong Soo Lee, Yu Kyeong Kim, June-Key Chung, Myung Chul Lee
Purpose: Although there have been remarkable advances in spatial normalization techniques, the differences in the shape of the hemispheres and the sulcal pattern of brains relative to age, gender, races, and diseases cannot be fully overcome by the nonlinear spatial normalization techniques. Methods:T1 SPGR MR images in 16 elderly male normal volunteers (>55 y, mean age: = 61.8 ¡¾ 3.5 y) were spatially normalized onto the age/gender specific Korean templates, and the Caucasian MNI template and the extent of the deformations were compared. These particular subjects were never included in the development of the templates. First, the images were matched into the templates using an affine transformation to eliminate the global difference between the templates and source images. Second, the affine registration was followed by an estimation of nonlinear deformation. Determinants of the Jacobian matrices of the nonlinear deformation were then calculated for every voxel to estimate the regional volume change during the nonlinear transformation. Results:Jacobian determinant images highlighted the great magnitude of the relative local volume changes obtained when the elderly brains were spatially normalized onto the young/midlife male or female templates. They reflect the enlargement of CSF space in the lateral ventricles, sylvian fissures and cisterna magna, and the shrinkage of the cortex noted mainly in frontal, insular and lateral temporal cortexes, and the cerebellums in the aged brains. In the Jacobian determinant images, a regional shrinkage of the brain in the left middle prefrontal cortex was observed in addition to the regional expansion in the ventricles and sylvian fissures, which may be due to the age differences between the template and source images. Conclusion:The regional anatomical difference between template and source images could impose an extreme deformation of the source images during the spatial normalization and therefore, individual brains should be placed into the appropriate template.



430004
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¼­¿ï´ëÇб³ Àǰú´ëÇÐ ÇÙÀÇÇб³½Ç©ö, À̺ñÀÎÈİúÇб³½Ç©÷, ¿øÀÚ·ÂÀÇÇпø ÇÙÀÇÇаú©ø
±èÁø¼ö©ö£ª,ÀÌÀ缺©ö, À̵¿¼ö©ö, ÀÌÁ¾Áø©ö, ÀÌÈ¿Á¤©÷, ¹Ú¹ÎÇö©÷, ¿À½ÂÇÏ©÷, Àӻ󹫩ø, Á¤Áرâ©ö, À̸íö©ö
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430009
´Ù¾çÇÑ ³ú Áúȯ¿¡¼­ ³úÇ÷·ù ½ºÆåÆ®ÀÇ SPM Graphic window ¿µ»ó¿¡ ÀÇÇÑ Á÷°üÀû Áø´Ü
µ¿¾Æ´ëÇб³ Àǰú´ëÇÐ ÇÙÀÇÇаú©ö , ½Å°æ°ú©÷
Á¤¿µÁø©ö£ª,°­µµ¿µ©ö , ¹Ú°æ¿ø©÷ , ±èÀç¿ì©÷
¸ñÀû: Statistical parametric mapping (SPM)Àº ³úÇ÷·ùÀÇ Áõ°¨À» ½Ã°¢ÀûÀ¸·Î ºÐ¸íÇÏ°Ô ³ªÅ¸³»¸ç, À°¾È ÆÇµ¶À¸·Î ¾Ë±â ¾î·Á¿ü´ø ¹Ì¹¦ÇÑ Ç÷·ùÀÇ º¯È­±îÁö °´°üÀûÀ¸·Î Ç¥ÇöÇϰí Á¤È®ÇÑ À§Ä¡ Á¤º¸¸¦ Á¦°øÇÑ´Ù´Â ÀÌÁ¡ÀÌ ÀÖ´Ù. SPMÀº Graphic window ¿µ»óÀ̶ó°í ÇÏ´Â Åõ»ç ¿µ»óÀ» Á¦°øÇÑ´Ù. º» ¿¬±¸¿¡¼­´Â À°¾È ºÐ¼®°ú ÇÔ²² SPM Graphic window ¿µ»óÀÌ ´Ù¾çÇÑ ³úÁúȯ¿¡¼­ ³úÇ÷·ù ½ºÆåÆ®ÀÇ Áø´Ü¿¡ ¾î¶² µµ¿òÀ» ÁÖ´ÂÁö ¾Ë¾Æº¸¾Ò´Ù. ¹æ¹ý:Alzheimer's disease, Subcortical vascular dementia, Progressive supranuclear palsy, Olivopontocerebellar atrophy, Dementia with Lewy body, Huntington's disease, Parkinson disease, Transient global amnesia, Ant. cerebral artery infarction, Mid. cerebral artery infarction, Post. cerebral artery infarction, Periventricular WM ischemia, Hydrocephalus, Post-traumatic syndrome ȯÀÚ¿¡ ´ëÇØ °¢ Áúȯº°·Î ¼ö¸í¿¡¼­ ¼ö½Ê ¸í¾¿ Tc-99m HMPAO ³úÇ÷·ù ½ºÆåÆ®¸¦ ½ÃÇàÇÏ¿© ±× Áß¿¡¼­ °¡Àå ÀüÇüÀûÀÎ ¼Ò°ßÀ» º¸ÀÎ °ÍÀ» ¼±ÅÃÇÏ¿´´Ù. °¢ ȯÀÚ¿¡°Ô Tc-99m HMPAO 30mCi¸¦ Á¤¸Æ ÁÖ»çÇϰí, 10ºÐ ÈÄ¿¡ ÃÔ¿µÀ» ½ÃÀÛÇÏ¿© ÀÌÁßÇìµå °¨¸¶Ä«¸Þ¶ó (Multi Spect ¥±, Siemens) ¿¡¼­ 20ºÐ°£ ÃÔ¿µÇÏ¿´´Ù. °¢ ȯÀÚµéÀÇ ÀÚ·á´Â ´Ù½Ã SPMÀ¸·Î (Matlab 5.3, SPM 99) ºÐ¼®ÇÏ¿© À°¾È ºÐ¼®°ú ÇÔ²² Graphic window ¿µ»óÀ» ÆÇµ¶¿¡ ÀÌ¿ëÇÏ¿´´Ù. °á°ú:º» ¿¬±¸ÀÇ °á°ú·Î À§ÀÇ ´Ù¾çÇÑ Áúȯ¿¡¼­ Graphic window ¿µ»óÀ» ¾ò¾ú´Ù. ´Ù¾çÇÑ Áúȯ¿¡¼­ À°¾È ºÐ¼®¸¸À» ÇÏ´Â °æ¿ì ÇÑ ¸íÀÇ ÆÇµ¶¿¡ °É¸®´Â °úÁ¤º¸´Ù Graphic window ¿µ»óÀ» ÀÌ¿ëÇÏ´Â °æ¿ì ÆÇµ¶ °úÁ¤ÀÇ ´ÜÃàÀ» °¡Á® ¿Ã ¼ö ÀÖ¾ú´Ù. Graphic window ¿µ»óÀº Ư¡ÀûÀÎ Áúȯ¿¡¼­ ÀλóÀûÀÎ ¼Ò°ßÀ» º¸¿©¼­ Á÷°üÀûÀ¸·Î ¹Ù·Î Áø´Ü¿¡ µµ´ÞÇÒ ¼ö ÀÖ°Ô ÇÏ¿´´Ù. ¶ÇÇÑ ÀÛÀº º´º¯ÀÇ °æ¿ì À°¾È ÆÇµ¶¿¡¼­ ¸íÈ®ÇÏÁö ¾ÊÀº ºÎÀ§¸¦ ½±°Ô ã¾Æ ³¾ ¼ö ÀÖ°Ô ÇÏ¿´´Ù. ƯÈ÷ ÆÇµ¶ÀÇ °æÇèÀÌ ¸¹Áö ¾ÊÀº °æ¿ì¿¡ ´õ¿í À¯¿ëÇÏ¿´´Ù. ¶ÇÇÑ Ç÷·ù Áõ°¡¸¦ º¸ÀÌ´Â ºÎÀ§ÀÇ ÆÇÁ¤¿¡ À¯¿ëÇÏ¿´´Ù. °á·Ð:´Ù¾çÇÑ ³úÁúȯ¿¡¼­ ³úÇ÷·ù ½ºÆåÆ®ÀÇ À°¾È ÆÇµ¶ÀÌ ±âº»ÀÌÁö¸¸ SPM Graphic window ¿µ»óÀÌ ÆÇµ¶ÀÚ·Î ÇÏ¿©±Ý º´º¯À» Á÷°üÀûÀ¸·Î Áø´Ü °¡´ÉÇÏ°Ô ÇÏ¿© ÆÇµ¶ÀÇ °úÁ¤À» ´ÜÃà½Ã۰í, ÆÇµ¶ÀÇ Ãʺ¸ÀÚ¿¡°Ô Áø´ÜÀÇ È®½Ç¼ºÀ» Áõ°¡½ÃÄÑÁÖ´Â ÀåÁ¡ÀÌ ÀÖ´Â °ÍÀ¸·Î »ý°¢µÈ´Ù. µû¶ó¼­ SPM Graphic window ¿µ»óÀº ³úÇ÷·ù ½ºÆåÆ®ÀÇ ÆÇµ¶½Ã ÂüÁ¶ÇÒ ¸¸ÇÑ ÀÚ·á°¡ µÉ °ÍÀÌ´Ù.



430010
ÀÓ»ó Áø·á ȯÀÚÀÇ ³úÇ÷·ù ½ºÆåÆ® ¿µ»ó ÆÇµ¶¿¡ SPM ÀÌ¿ëÀÌ ÀÏ»óÀûÀ¸·Î °¡´ÉÇÏ´Ù
µ¿¾Æ´ëÇб³ Àǰú´ëÇÐ ÇÙÀÇÇаú©ö , ½Å°æ°ú©÷
°­µµ¿µ©ö£ª,Á¤¿µÁø©ö , ¹Ú°æ¿ø©÷ , ±èÀç¿ì©÷
¸ñÀû: ÀÓ»ó Áø·á ÇöÀå¿¡¼­ ³úÇ÷·ù ½ºÆåÆ®ÀÇ ÆÇµ¶Àº À°¾È ¼Ò°ß¿¡ ÀÇÇØ ÁÖ·Î ÀÌ·ç¾îÁ³À¸³ª °´°ü¼º°ú Á¤È®µµ¿¡ À־ ¸¹Àº Á¦ÇÑÁ¡À» °¡Áö°í ÀÖ¾ú´Ù. ÀÌ·¯ÇÑ ¹®Á¦Á¡À» ÇØ°áÇϱâ À§ÇÏ¿© SPM°ú °°Àº ÇÁ·Î±×·¥ÀÌ µîÀåÇÏ¿© º¸´Ù °´°üÀûÀ̰í Á¤·®ÀûÀÎ ºÐ¼®¿¡ µµ¿òÀÌ µÇ¾úÁö¸¸ ÀÌ´Â ÀÓ»ó ¿¬±¸¿¡ ÁÖ·Î ÀÌ¿ëÀÌ µÇ°í ÀÓ»ó ÇöÀå¿¡ ½ÇÁ¦ÀûÀ¸·Î »ç¿ëµÇ´Â µ¥´Â ½Ã°£ÀÌ ¸¹ÀÌ °É¸®°í °úÁ¤ÀÌ º¹ÀâÇÏ¿© Á¦ÇÑÀûÀ¸·Î »ç¿ëÀÌ µÇ¾ú´Ù. ±×·¯³ª ÀúÀÚµéÀº ¸ðµç ÀÓ»ó Áø·á ȯÀÚµéÀÇ ³úÇ÷·ù ½ºÆåÆ® ¿µ»ó ÆÇµ¶À» SPMÀ» ÀÌ¿ëÇÏ¿© ÀÏ»óÀûÀ¸·Î ½ÃÇàÇÏ¿´À¸¸ç SPMÀÇ ½ÇÁ¦Àû ÀÌ¿ë ¹æ¹ý°ú ±× È¿°ú¸¦ ¼Ò°³ÇϰíÀÚ ÇÑ´Ù. ¹æ¹ý:º»¿ø¿¡¼­´Â 2003³â 12¿ùºÎÅÍ ÇöÀç±îÁö ÃÑ 396¸íÀÇ È¯ÀÚ¿¡ ´ëÇØ SPMÀ» ÀÌ¿ëÇÑ ÆÇµ¶À» ½ÃÇàÇϰí ÀÖ´Ù. ÁøÇà °úÁ¤Àº ´ÙÀ½°ú °°´Ù. ȯÀÚÀÇ ½ºÆåÆ® ÀڷḦ PACS¿¡¼­ DICOM ÆÄÀÏ·Î ÀúÀåÇÑ´Ù. DICOM ÆÄÀÏÀ» MRIcro programÀ¸·Î Analyze ÆÄÀÏ·Î º¯È¯ÇÑ´Ù. SPM ÇÁ·Î±×·¥¿¡¼­ spatial normalization¸¦ Çϰí, ´ÙÀ½¿¡ smoothingÀ» ÇÑ´Ù. ¹Ì¸¸¼º ³úÁúȯ ȯÀÚÀÇ °æ¿ì ±× Àü¿¡ ¼Ò³ú¿¡ ´ëÇØ¼­ count normalizationÀÇ °úÁ¤À» °ÅÄ£´Ù. ±× ÈÄ Åë°èÀûÀÎ ºÐ¼®À» ½ÃÇàÇϸç uncorrected p-value´Â ´ë°³ÀÇ °æ¿ì 0.01À» »ç¿ëÇÏÁö¸¸ »óȲ¿¡ µû¶ó 0.001À̳ª 0.05¸¦ »ç¿ëÇϱ⵵ ÇÑ´Ù. SPMÀÇ MNI ÁÂÇ¥¸¦ Talairach ÁÂÇ¥·Î ¿¢¼¿ÀÇ ¸ÅÅ©·Î¸¦ ÀÌ¿ëÇÏ¿© º¯È¯Çϰí, º¯È¯ÇÑ ÁÂÇ¥¸¦ Talairach daemon ÇÁ·Î±×·¥À¸·Î ÃÖÁ¾ º´º¯ÀÇ À§Ä¡¸¦ ¾Ë¾Æ³½ ÈÄ ÆÇµ¶¿¡ »ç¿ëÇÏ¿´´Ù. °á°ú:SPM ºÐ¼® °úÁ¤ Áß MNI ÁÂÇ¥¸¦ Talairach ÁÂÇ¥·Î º¯È¯ÇÏ°Ô µÇ´Âµ¥ ½Ã°£ÀÌ ¸¹ÀÌ °É¸®Áö¸¸, ¿¢¼¿ ÇÁ·Î±×·¥À¸·Î ÀÌ·¯ÇÑ ÁÂÇ¥ º¯È¯ÀÌ ÀÚµ¿À¸·Î ÀÌ·ïÁöµµ·Ï ÇÁ·Î±×·¥À» ¸¸µé¾î »ç¿ëÇÑ ÈÄ¿¡´Â »ó´çÈ÷ ½Ã°£À» ´ÜÃà½Ãų ¼ö ÀÖ¾ú´Ù. ÇöÀç DICOM ÆÄÀÏÀ» ¹Þ¾Æ¼­ ÁÂÇ¥º¯È¯Çϱâ±îÁö °É¸®´Â ½Ã°£Àº ´ë°³ 1¸í´ç 15ºÐ À̳»¿¡ ¿Ï·áÇÏ°Ô µÈ´Ù. SPMÀ» ÀÌ¿ëÇÑ ÆÇµ¶À¸·Î ÆÇµ¶ÀÚÀÇ È®½Åµµ Áõ°¡ÇÏ¿´À¸¸ç, ÀÓ»óÀÇ ½Å°æ°ú ÀÇ»çµé¿¡°Ô ¼³¹® Á¶»çÇÑ °á°ú º´º¯ÀÇ À§Ä¡¸¦ º¸´Ù Á¤È®ÇÏ°Ô ¾Ë ¼ö ÀÖ°Ô µÇ¾î ¸¸Á·µµ°¡ Áõ°¡ÇÏ¿´´Ù. SPM ºÐ¼®À» ½ÃÇàÇÑ ÈÄ ÇöÀç±îÁö °Ë»ç °Ç¼ö´Â ½ÃÇà ÀÌÀüÀÇ µ¿ÀÏ ±â°£ °Ç¼ö¿¡ ºñÇØ 34 %ÀÇ Çâ»óÀÌ ÀÖ¾ú´Ù. °á·Ð:SPMÀº ÀÓ»ó ¿¬±¸¿¡¼­ »Ó¸¸ ¾Æ´Ï¶ó ÀÓ»ó Áø·á ÇöÀå¿¡¼­ ½ÇÁ¦ÀûÀ¸·Î ÆÇµ¶¿¡ ÀÌ¿ëÀÌ °¡´ÉÇÏ¿´À¸¸ç ÆÇµ¶ÀÚ³ª ÀÓ»ó ÀÇ»çÀÇ ¸¸Á·µµµµ Áõ°¡ÇÏ¿´´Ù. SPMÀº ¾ÕÀ¸·Î ´õ¿í ÀÓ»ó Áø·á ÇöÀå¿¡¼­ ÀÏ»óÀûÀ¸·Î ÀÌ¿ëÇÒ ¼ö ÀÖÀ» °ÍÀ¸·Î ±â´ëµÈ´Ù.



430011
Correlation with neuropsychological assessment and SPM analysis of brain perfusion SPECT in patients with progressive supranuclear palsy
Departments of Nuclear Medicine©ö & Neurology©÷, Dong-A University School of Medicine
Young Jin Jeong£ª,Do-Young Kang©ö , Kyung Won Park©÷ , Jae Woo Kim ©÷
Purpose: Progressive supranuclear palsy (PSP) is a degenerative condition of unknown aetiology that produces an akinetic-rigid form of parkinsonism characterised by early falls, dementia and abnormalities of extraocular movements. The patterns of decreased regional cerebral blood flow and cognitive impairment in PSP compared with normal control have been insufficiently investigated and a limited number of studies have been performed. We evaluated clinical symptoms, functional neuroimaging study using Tc-99m HMPAO SPECT and neuropsychological profiles in patients with PSP. Methods:Eleven patients with PSP diagnosed by the clinical criteria of National Institute of Neurological Disorders and Stroke and the Society for PSP (NINDS-SPSP) (mean age; 70.5¡¾5.6 years, educational period; 4.5¡¾4.7 years) and age-matched 10 healthy control subjects (mean age; 68.1¡¾4.5 years, educational period; 6.5¡¾4.1 years) participated in this study were participated. All patients were given a neurologic examination, brain MRI and cerebral perfusion SPECT using Tc-99m HMPAO. We concomittently evaluated several cognitive profiles using the Seoul Neuropsychological Screening Battery. Results:SPM analysis of the SPECT image showed significant perfusion deficits in the left inferior frontal gyrus, left caudate nucleus, left middle frontal gyrus and cingulate gyrus in the patients with PSP compared with age-matched healthy control (uncorrected p<0.01). On neuropsychological assessment, cognitive deficits on verbal and visual memory, word fluency and frontal executive functions were prominent in most patients with PSP compared with healthy control subjects. Conclusion:Our findings suggest that measurment of regional cerebral blood flow by perfusion SPECT and voxel-based SPM analysis with neuropsychological assessment are useful to understanding the correlation between perfusion deficits and abnormal cognitive profiles in patients with PSP.



430012
Analysis of voxel-based rCBF in patients with olivopontocerebellar atrophy of multiple system atrophy
Departments of Nuclear Medicine©ö & Neurology ©÷ , Dong-A University School of Medicine
Young Jin Jeong£ª,Do-Young Kang©ö , Kyung Won Park©÷ , Sang Ho Kim©÷ , Jae Woo Kim©÷
Purpose: Olivopontocerebellar Atrophy (OPCA) is one phenotype of multiple system atrophy (MSA) and is characterized neuropathologically by neuronal degeneration in the inferior olives, pons and cerebellar cortex. The diagnosis of OPCA requires clinical evaluation to exclude other diseases. And it¡¯s usually supported by atrophy of the cerebellum and brainstem visualized on CT or MRI. But there are some reports that the disease can occur without demonstrable atrophy in these anatomic studies. There are only a few reports about perfusion SPECT imaging in patients with OPCA. The aim of this study was to describe voxel-based rCBF of OPCA in comparison of healthy volunteers. Methods:We studied 5 patients with OPCA (1 men, 4 women; age 50.4¡¾9.6y) and age matched 13 healthy volunteers (4 men, 9 women; age 54.9¡¾6.6y). All subjects injected 20mCi of Tc-99m HMPAO and scanning was initiated 20 min after injection. Images were analyzed using SPM (SPM99) with Matlab 5.3. Results:On visual analysis, in 3 patients with OPCA, SPECT image showed significant hypoperfusion in the cerebellum. In another 2 patients, diffuse hypoperfusion was found in the both cerebro-cerebellar hemispheres, untypical perfusion pattern in OPCA. So there is existed limitation to diagnosis by only visual analysis. On SPM analysis, in OPCA patients significantly decreased perfusion was present in culmen, tonsil, tuber in Lt. cerebellum and declive, tonsil, pyramid and inf. Semi-lunar lobule in Rt. cerebellum, Rt. inf. frontal gyrus and Rt. temporal lobe (p<0.001, uncorrected). We also performed individual analysis with SPM. Two of 5 patients have additional hypoperfusion brain lesions. In one patient, decreased perfusion found in Lt. temporal, both occipital lobe, Lt. parahippocampal gyrus. In another patient, decreased perfusion found in both frontal and parietal lobe. Conclusion:This study is one of a few trials analysis with SPM for OPCA. We defined the specific location of decreased perfusion in patients with OPCA.



430013
SPM analysis and cognitive dysfunctions in patients with transient global amnesia
Departments of Nuclear Medicine©ö & Neurology©÷, Dong-A University School of Medicine
Young-Jin Jeong£ª,Do-Young Kang©ö , Go-Un Yun©÷ , Kyung Won Park©÷ , Jae Woo Kim©÷
Purpose: Transient global amnesia (TGA) is known as a disease of benign nature characterized with clinically transient global antegrade amnesia and a variable degree of global retrograde memory impairment, but it usually resolved within 24 hours. The aims of this study are to assess the alterations in regional cerebral blood flow (rCBF) by Tc-99m HMPAO SPECT imaging with statistical parametric mapping (SPM) analysis and to verify the cognitive deficits by neuropsychological test in TGA patients. Methods:Twelve patients with TGA and age-matched normal control subjects participated in this study. Tc-99m HMPAO SPECT was performed within 1 to 19 days (mean duration; 7.3¡¾5.2 days) after the events to measure the rCBF. SPECT images were analyzed using SPM (SPM99) with Matlab 5.3. Seoul Neuropsychological Screening Battery test was also done within 2 to 8 days (mean duration 3.8¡¾2.2 days) for cognitive functions in 8 of 12 patients with TGA. Results:The SPM analysis of SPECT images showed significantly decreased rCBF in the left inferior frontal gyrus (Brodmann area 9), the left supramarginal gyrus (Brodmann area 40), the left postcentral gyrus (Brodmann area 40) and the left precentral gyrus (Brodmann area 4) in patients with TGA (uncorrected p<0.01). Neuropsychological test findings represented that several cognitive functions, such as, verbal memory, visual memory, phonemic fluency and confrontational naming, were impaired in patients with TGA compared with normal control. Additionally, on SPM analysis, we found lesions of hyperperfusion in contralateral cerebral hemisphere. Conclusion:Our study shows perfusion deficits in the left cerebral hemisphere in patients with TGA and several cognitive dysfunctions. And we found after clinical symptoms were completely resolved, the lesions of hypoperfusion were still remained. We found that functional quantitative neuroimaging study and neuropsychological test are useful to understand underlying pathomachanism of TGA.



430015
Effects of Head Motion Correction on the Evaluation of Endogenous Dopamine Release in Striatum
Department of Nuclear Medicine, Seoul National University College of Medicine
Jae Sung Lee£ª,Sang Soo Cho, Dong Soo Lee, June-Key Chung, Myung Chul Lee, Sang Eun Kim
Purpose: Neuroreceptor PET studies require 60-90 minutes to complete. Head motion of the subject increases the uncertainty in measured activity. In this study, the effects of the data-driven head motion correction on the evaluation of endogenous dopamine (DA) release in the striatum were investigated. Methods:[11C]raclopride PET scans on 4 normal volunteers acquired with bolus plus constant infusion protocol were retrospectively analyzed. Following the 50 min resting period, the participants played a video game with a monetary reward for 40 min. Dynamic frames acquired during the equilibrium condition (rest: 30-50 min, game: 70-90 min) were realigned to the first frame at resting condition. Intra-condition registration between the frames during both the rest and game condition were performed, and average image for each condition was created and registered with each other again (inter-condition registration). Resting PET image was then co-registered to own MRI of each participant and transformation parameters were reapplied to the other one. Volumes of interest (VOI) for dorsal putamen (PU) and caudate (CA), ventral striatum (VS), and cerebellum were defined on the MRI. Binding potential (BP) was measured and DA release was calculated as the percent change of BP after the video game. Results:Changes in position and orientation of the striatum during the PET scan were observed before the head motion correction. BP values at resting condition were not changed significantly after the intra-condition registration. However, the BP values during the video game and DA release (PU: 29.2¡æ3.9%, CA: 57.4¡æ14.1%, ST: 17.7¡æ0.6%) were significantly changed after the correction. Conclusion:The results suggest that overestimation of the DA release caused by the head motion during PET scan and misalignment of MRI-based VOI and the striatum in PET image was remedied by the data-driven head motion correction.



430027
³úÇ÷·ù ½ºÆåÆ® ºÐ¼® °á°ú¿¡¼­ SISCOM ÇÁ·Î±×·¥°ú SPM ÇÁ·Î±×·¥ÀÇ Â÷ÀÌ
µ¿¾Æ´ëÇб³ Àǰú´ëÇÐ ÇÙÀÇÇб³½Ç
Á¤¿µÁø£ª,°­µµ¿µ
¸ñÀû: SISCOMÀº º»·¡ °£Áú ȯÀÚ¿¡ À־ ¹ßÀÛ±â¿Í ¹ßÀÛ°£±â »çÀÌÀÇ Ç÷·ù º¯È­ÀÇ Â÷À̸¦ Á¤·®ÀûÀ¸·Î ºÐ¼®Çϱâ À§ÇÑ ¿µ»ó ÇÁ·Î±×·¥ÀÌ´Ù. ÇÏÁö¸¸ °°Àº ȯÀÚ¿¡¼­ Ä¡·á °úÁ¤ ÁßÀÇ Ç÷·ù º¯È­ÀÇ ¿¬¼ÓÀû °üÂûÀÌ¶ó´ø Áö ¾Æ¼¼Å¸Á¹¾Æ¸¶ÀÌµå ³ú ½ºÆåÆ®¿¡¼­ ¾àÀÇ Åõ¿© Àü°ú Åõ¿© ÈÄÀÇ ³ú Ç÷·ùÀÇ º¯È­¸¦ °üÂûÇϴµ¥µµ °£Áú°ú °°Àº °³³äÀ¸·Î SISCOMÀ» »ç¿ëÇÏ¿© ºÐ¼®ÇÒ ¼ö ÀÖ´Ù. ÀÌ ¿¬±¸¸¦ ÅëÇØ SISCOMÀ» ÅëÇÑ ºÐ¼®°ú SPMÀ» ÀÌ¿ëÇÑ ºÐ¼® °á°ú¸¦ ºñ±³ÇÏ¿© ¾î¶°ÇÑ Â÷À̸¦ º¸À̴°¡¸¦ ¾Ë¾Æº¸¾Ò´Ù. ¹æ¹ý:µ¿ÀÏÇÑ È¯ÀÚ¿¡¼­ °æ°ú °üÂûÀ» À§ÇØ ³úÇ÷·ù ½ºÆåÆ®¸¦ ÀÏÁ¤ ±â°£ °£°ÝÀ¸·Î ½ÃÇàÇÑ 11¸íÀÇ È¯ÀÚ¿Í 1ÀÏ ÇÁ·ÎÅäÄÝ·Î ¾Æ¼¼Å¸Á¹¾Æ¸¶ÀÌµå ³ú ½ºÆåÆ®¸¦ ½ÃÇàÇÑ È¯ÀÚ 19¸íÀ» ´ë»óÀ¸·Î SPM ºÐ¼®°ú SISCOM ºÐ¼®À» ½ÃÇàÇÏ¿© ±× Â÷À̸¦ »ìÆìº¸¾Ò´Ù. ³úÇ÷·ù ½ºÆåÆ® ȯÀÚ¿¡°Ô Tc-99m HMPAO 30mCi¸¦ Åõ¿©Çϰí 20ºÐ°£ ÃÔ¿µÇÏ¿´°í, ¾Æ¼¼Å¸Á¹¾Æ¸¶ÀÌµå ³ú ½ºÆåÆ® ȯÀÚ¿¡°Ô Tc-99m HMPAO 25mCi¸¦ Åõ¿©Çϰí 20ºÐ°£ ÃÔ¿µÇÑ ÈÄ, ´Ù½Ã ¾Æ¼¼Å¸Á¹¾Æ¸¶À̵å 1gÀ» Á¤¸Æ ÁÖ»çÇϰí Tc-99m HMPAO 50mCi¸¦ Åõ¿©ÇÑ ÈÄ ÃÔ¿µÇÏ¿´´Ù. SPM ºÐ¼®¿¡¼­ ±âÀú ¿µ»ó°ú °¨»ê ¿µ»óÀ» »ç¿ëÇÏ¿´´Ù. SISCOM¿¡¼­ upper threshold´Â 50, lower threshold´Â 10À¸·Î ¼³Á¤ÇÏ¿´´Ù. µÎ ¿µ»óÀÇ ºñ±³´Â À°¾È ºÐ¼®À¸·Î ½ÃÇàÇÏ¿´À¸¸ç ÀÏÄ¡¿Í ºÒÀÏÄ¡ÀÇ º´º¯ÀÌ ÇÔ²² ÀÖ´Â °æ¿ì´Â Áß°£ÇüÀ¸·Î ó¸®ÇÏ¿´´Ù. °á°ú:Àüü ȯÀÚ 30¸í Áß ÀÏÄ¡Çϴ ȯÀÚ°¡ 13¸í(43.3%), ºÒÀÏÄ¡°¡ 11¸í(36.7%), Áß°£ÇüÀÌ 6¸í(20%)À̾ú´Ù. ¿¬¼Ó °Ë»ç ȯÀÚ 11¸í Áß ÀÏÄ¡Çϴ ȯÀÚ°¡ 3¸í(27.2%), ºÒÀÏÄ¡°¡ 4¸í(36.4%), Áß°£ÇüÀÌ 4¸í(36.4%) À̰í, ¾Æ¼¼Å¸Á¹¾Æ¸¶ÀÌµå ³ú ½ºÆåÆ® °Ë»ç ȯÀÚ 19¸í Áß¿¡ ÀÏÄ¡Çϴ ȯÀÚ°¡ 10¸í(52.6%), ºÒÀÏÄ¡°¡ 7¸í(36.8%), Áß°£ÇüÀÌ 2¸í(10.6%) À̾ú´Ù. 1ÀÏ ÇÁ·ÎÅäÄÝ·Î ½ÃÇàÇÑ °Ë»ç¿Í ÀÏÁ¤ °£°ÝÀ¸·Î ½ÃÇàÇÑ °Ë»ç ¸ðµÎ ºÒÀÏÄ¡À²Àº À¯»çÇÏ¿´°í, Áß°£ÇüÀº ÀÏÁ¤ °£°ÝÀ¸·Î ½ÃÇàÇÑ °Ë»ç¿¡¼­ ´õ ³ô¾Ò´Ù. SISCOMº¸´Ù SPM¿¡¼­ º´º¯ÀÌ ´õ ¸¹ÀÌ º¸¿´´Ù. °á·Ð:µ¿ÀÏÇÑ È¯ÀÚ¿¡¼­ ¾òÀº µÎ °¡Áö ¿µ»óÀÇ Â÷À̸¦ ºñ±³Çϴµ¥ ÀÖ¾î SISCOM°ú SPMÀÇ °á°ú´Â ÀÏÄ¡ÇÏÁö ¾Ê´Â °æ¿ì°¡ ¸¹À¸¹Ç·Î ÁÖÀǰ¡ ÇÊ¿äÇÏ´Ù. ÇâÈÄ µÎ °¡Áö ºÐ¼®ÀÇ °á°ú¿Í À°¾È ºÐ¼® ¹× ÀÓ»ó °æ°ú¿Í ºñ±³°¡ ÇÊ¿äÇÒ °ÍÀÌ´Ù.



430053
Evaluation of cat brain infarction model using microPET
¼­¿ï´ëÇб³º´¿ø ÇÙÀÇÇаú©ö , ¿øÀÚ·ÂÀÇÇпø©÷
ÀÌÁ¾Áø£ª,À̵¿¼ö©ö , ±èÀ±Èñ©ö , Ȳµµ¿ø©ö , Àӻ󹫩÷, Á¤Áرâ©ö,À̸íö©ö
Purpose: PET has some disadvantage in the imaging of small animal due to poor resolution. With the advance of microPET scanner, it is possible to image small animals. However, the image quality was not so much satisfactory as human image. As cats have relatively large sized brain, cat brain imaging was superior to mice or rat. In this study, we established the cat brain infarction model and evaluate it and its temporal change using microPET scanner. Methods:Two adult male cats were used. Anesthesia was done with xylazine and ketamine HCl. A burr hole was made at 1cm right lateral to the bregma. Collagenase type IV 10 ul was injected using 30G needle for 5 minutes to establish the infarction model. F-18 FDG microPET (Concorde Microsystems Inc., Knoxville, TN) scans were performed 1, 11 and 32 days after the infarction. In addition, 18F-FDG PET scans were performed using Gemini PET scanner (Philips medical systems, CA, USA) 13 and 47 days after the infarction. Results:Two cat brain infarction models were established. The glucose metabolism of an infraction lesion improved with time. An infraction lesion was also distinguishable in the Gemini PET scan. Conclusion:We successfully established the cat brain infarction model and evaluated the infracted lesion and its temporal change using F-18 FDG microPET scanner.



430068
The Changes of Regional Cerebral Blood Flow: Successful Pain Relief of Intractable CRPS type II Patients by Motor Cortex Stimulation
°¡Å縯´ëÇб³ ÇÙÀÇÇаú
Á¤¿ë¾È£ª,¼ÕÇü¼±, ±è¼ºÈÆ, Á¤¼ö±³
Purpose: Authors report the effectiveness of MCS in extraordinarily extended pain due to intractable CRPS type II and rCBF study result for mechanism of pain control by MCS. Methods:A 43-year-old male presented severe spontaneous burning pain in his left hand and forearm and allodynia over the left arm and left hemibody. Authors planned MCS as a neuromodulation therapy for this intractable peripheral neuropathic pain patient because further neurodestructive procedure did not work anymore and have a potential risk of further aggrevation of neuopathic pain. We performed baseline and stimulation brain perfusion SPECT using 20 mCi of Tc-99m ECD. The baseline CBD studies were done with stimulator ¡°off¡± state and stimulation studies were done after stimulator ¡°on¡± with satisfactory pain relief. For the stimulation study, the radioisotope was injected immediately after pain-relief and the images were taken about 50 minutes after injection of radioisotope. Results:In resting rCBF in the patient was compared with normal control datas, we found significant increase in rCBF in the bilateral prefrontal cortex, right dorsolateral prefrontal cortex, right superior temporal gyrus, left temporooccipital area. When rCBF datas obtained after alleviation of pain with stimulator ¡°on¡±, there were significant increase in rCBF in bilateral prefrontal cortex and left temporooccipital area. After subtraction of ECD SPECT, we found significant increase in rCBF in the right premotor and supplementary motor cortex, left sensorimotor cortex, right cingulated cortex, right posterior insular cortex, right anterior limb of internal capsule, left orbitofrontal cortex and right pyramidal tract in cerebral peduncle. Conclusion:Authors report exellent pain control by MCS in a case of severe CRPS type II with hemibody involvement and regional cerebral blood flow changes according to successful pain control.



430072
º»µå ÈíÀÔÀڵ鿡¼­ÀÇ brain SPECT ºÐ¼®
¿µ³²´ëÇб³ÀÇ·á¿ø ÇÙÀÇÇаú©ö , ¿¹¹æÀÇÇаú©÷
õ°æ¾Æ©ö£ª,Á¶ÀÎÈ£©ö , ÀÌÇü¿ì©ö , »ç°øÁØ©÷
¸ñÀû: ¿ì¸®³ª¶ó´Â ´Ù¸¥ ³ª¶óÀÇ °æ¿ì¿Í ´Þ¸® º»µå ÈíÀÔ¿¡ ÀÇÇÑ Áßµ¶ÀÌ ºñ±³Àû ¸¹Àº ÆíÀ̳ª, ÀÌ¿¡ ´ëÇÑ SPECT ¹× PET ¿¬±¸´Â °ÅÀÇ ¾ø´Ù. º» ¿¬±¸ÀÚµéÀº º»µå ÈíÀÔÀ» ¼ö³â°£ Áö¼ÓÀûÀ¸·Î ÇØ¿Â ȯÀÚµéÀ» ´ë»óÀ¸·Î brain SPECT¸¦ ½Ç½ÃÇÏ¿© ±× °á°ú¸¦ ºÐ¼®ÇÏ¿´´Ù. ¹æ¹ý:12¸í (³²ÀÚ 11¸í, ¿©ÀÚ 1¸í, Æò±Õ¿¬·É: 28.1 ¼¼) ÀÇ º»µå ÈíÀÔÀÚ µéÀ» ´ë»óÀ¸·Î ÇÏ¿© ¾ÈÁ¤»óÅ¿¡¼­ Tc-99m ECD¸¦ ÀÌ¿ëÇÑ brain SPECT¸¦ ½Ç½ÃÇÏ¿´´Ù. °á°úÀÇ ºÐ¼®Àº À°¾ÈºÐ¼® ¹× SPM99ÇÁ·Î±×·¥À» ÀÌ¿ëÇÏ¿© Á¤»ó´ëÁ¶±º°ú ºñ±³¸¦ ÇÏ¿´´Ù. °á°ú:À°¾ÈÀûÀÎ ºÐ¼® °á°ú ÀüµÎ¿±°ú ´ë»óȸ (cingulate gyrus) ¿µ¿ªÀÇ °ü·ù°¨¼Ò°¡ °¡Àå ¸¹¾Ò°í, ±× ¿Ü¿¡ ±âÀúÇÙ ¹× ½Ã»ó, ±×¸®°í ÃøµÎ¿±ÀÇ ¼·Ãë°¨¼Òµµ °üÂûµÇ¾ú´Ù. SPM ºÐ¼®°á°ú´Â ȯÀÚ±º µé¿¡¼­ ´ë»óȸ ¿µ¿ªÀÇ ¼·Ãë°¡ ´ëÁ¶±º¿¡ ºñÇØ À¯ÀÇÇÏ°Ô °¨¼ÒµÇ¾î ÀÖ¾ú´Ù (p < 0.01). °á·Ð:º»µå ÈíÀÔ¿¡ ÀÇÇÑ ³ú¼Õ»óÀ» Æò°¡Çϴµ¥ brain SPECT °¡ À¯¿ëÇÒ °ÍÀ¸·Î »ý°¢µÇ¸ç, ´õ ¸¹Àº ȯÀÚµéÀ» ´ë»óÀ¸·Î ÇÑ ¿¬±¸°¡ ÇÊ¿äÇÒ °ÍÀ¸·Î »ý°¢µÈ´Ù.



430075
Altered Glucose Metabolism in Juvenile Myoclonic Epilepsy: a PET Study with Statistical Parametric Mapping
¿ï»êÀÇ´ë ¼­¿ï¾Æ»êº´¿ø ÇÙÀÇÇаú©ö , ½Å°æ°ú©÷
ÀÓ±âõ©ö£ª,±èÁöÇö©÷ , °­Áß±¸©÷, ±èÀç½Â©ö , ¿©Á¤¼®©ö, ÀÌ»ó¾Ï©÷, ¹®´ëÇõ©ö
Purpose: Juvenile myoclonic epilepsy (JME) is a hereditary, age-dependent epilepsy syndrome, characterized by myoclonic jerks on awakening and generalized tonic-clonic seizures. Although there have been considerable studies on the mechanism to elucidate pathogenesis of JME, the accurate pathogenesis of JME remains obscure. The aim of this study was to investigate alterations of cerebral glucose metabolism in patients with JME. Methods:We studied 16 JME patients (Mean age: 22 yrs, M/F: 9/7) with brain FDG-PET and simultaneous EEG recording. On the basis of the number of generalized spike-and-wave (GSW) discharges on the 30 min EEG recording after the injection of FDG (370MBq), we classified patients into two groups (patients in group A had 10 or more GSW and group B, 9 or less). We applied the automated and objective technique of statistical parametric mapping (SPM) to the analysis of FDG-PET to determine the significant hyper- and hypometabolic regions compared with those of 19 age matched normal control subjects. Results:We found significant hypermetabolic regions in bilateral thalamus and central portion of upper brainstem in 16 patients with JME at a statistical threshold of uncorrected P < 0.05. These changes were also shown in group A (n=8), but not in group B (n=8). Additionally, we found significant hypometabolism in bilateral, widespread cortical regions in 16 patients with JME at a threshold of uncorrected P < 0.01. Similar hypometabolic patterns were also observed in both group A and group B, being more prominent in group A. Conclusion:This study provides evidence for the key role of the thalamus and brainstem reticular activating system in generating spontaneous GSW discharge, which is considered as a fundamental pathogenesis underlying JME. This study also suggests that patients with JME might suffer from subtle abnormalities of cognitive and executive cortical functions.



430081
±¹¼Ò¼º ³úÁúȯ°ú ¹Ì¸¸¼º ³úÁúȯ¿¡¼­ SPM ºÐ¼®»ó °è¼ö Á¤±ÔÈ­ÀÇ ¿µÇâ
µ¿¾Æ´ëÇб³ Àǰú´ëÇÐ ÇÙÀÇÇаú
Á¤¿µÁø£ª,°­µµ¿µ
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430085
Á¤½ÅºÐ¿­º´ ȯÀÚÀÇ ¹«Äè°¨Áõ°ú °ü·ÃµÈ ½Å°æ ±¸Á¶ : ¾çÀüÀÚ¹æÃâ´ÜÃþÃÔ¿µ(PET) ¿¬±¸
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¸ñÀû: ÀÚ½ÅÀÇ ³»Àû ȤÀº ¿ÜÀû ȯ°æ ¼ÓÀÇ ´Ù¾çÇÑ ÀڱصéÀ» ÅëÇØ °æÇèÇÏ°Ô µÇ´Â °¨µ¿À» ´À³¢Áö ¸øÇÏ´Â ¹«Äè°¨Áõ(anhedonia)Àº Á¤½ÅºÐ¿­º´ÀÇ ÇÙ½É Á¤½Åº´¸® ÁßÀÇ ÇϳªÀÌ´Ù. ÇÏÁö¸¸, ÀÌ¿Í °ü·ÃµÈ ³ú ¿µ¿ªÀ» ã¾Æº¸´Â ½Å°æ¿µ»óÇÐÀû ¿¬±¸´Â ¾ÆÁ÷ ÃæºÐÈ÷ ÀÌ·ç¾îÁöÁö ¾Ê°í ÀÖ´Ù. À̹ø ¿¬±¸¿¡¼­´Â Á¤½ÅºÐ¿­º´ ȯÀÚÀÇ ¹«Äè°¨ÁõÀ» Á¶»çÇÏ°í ¾çÀüÀÚ¹æÃâ´ÜÃþÃÔ¿µ ±â¹ýÀ» ÀÌ¿ëÇÏ¿© À̵éÀÇ ¾ÈÁ¤½Ã ³úÇ÷·ù·®À» ÃøÁ¤ÇØ º½À¸·Î½á Á¤½ÅºÐ¿­º´ ȯÀÚÀÇ ¹«Äè°¨Áõ°ú °ü·ÃµÈ ³ú¿µ¿ªÀ» Á¶»çÇØº¸¾Ò´Ù. ¹æ¹ý:¼¼ºê¶õ½ºÁ¤½Å°Ç°­º´¿ø¿¡¼­ Ä¡·á¹Þ°í ÀÖ´Â Á¤½ÅºÐ¿­º´ ȯÀÚ 20¸í (³²ÀÚ10¸í, ¿©ÀÚ10¸í)°ú ¼ºº°, ¿¬·ÉÀ¸·Î ¦À» ¸ÂÃá Á¤»ó´ëÁ¶±º 20¸íÀ» ´ë»óÀ¸·Î ½ÅüÀû ¹«Äè°¨Áõ ôµµ¿Í »çȸÀû ¹«Äè°¨Áõ ôµµ¸¦ ÀÌ¿ëÇÏ¿© ¹«Äè°¨Áõ»óÀ» ÃøÁ¤Çϰí [18F]Fluoro deoxy glucose (FDG)-positron emission tomograpy(PET)¸¦ ÀÌ¿ëÇÏ¿© ¾ÈÁ¤½Ã ³ú Ç÷·ù·®À» ÃøÁ¤ÇÏ¿´´Ù. ¹«Äè°¨Áõ»óÀÇ Á¤µµ¿Í ±¹¼Ò ³úÇ÷·ù·® »çÀÌÀÇ »ó°ü°ü°è¸¦ Statistical Parametric Mapping(SPM99)À» ÀÌ¿ëÇÏ¿© ºÐ¼®ÇÏ¿´´Ù. °á°ú:Á¤½ÅºÐ¿­º´ ȯÀÚ±ºÀÌ Á¤»ó´ëÁ¶±º¿¡ ºñÇØ ½ÅüÀû ¹× »çȸÀû ¹«Äè°¨Áõ ôµµ¿¡¼­ À¯ÀÇÇÏ°Ô ³ôÀº Á¡¼ö¸¦ º¸¿´´Ù. ÈÄ ´ë»óȸ(posterior cingulate gyrus), ¿ì³»Ãø ÀüÀüµÎ ¹× ¿ìÃø Àü¿îµ¿ ¿µ¿ª(right medialprefrontal gyrus, right precentral gyrus), ¾çÃø ÃøµÎ¿±(bilateral superior temporal gyrus, right middle temporal gyrus)°ú ¿ìÃø ¹æÃß»óȸ(right fusiform gyrus) µîÀÌ Á¤½ÅºÐ¿­º´ ȯÀÚ±ºÀÇ ½ÅüÀû ¹«Äè°¨Áõ ôµµ Á¡¼ö¿Í À¯ÀÇÇÑ À½ÀÇ »ó°ü°ü°è(inverse correlation)¸¦ º¸¿´´Ù. Á¤½ÅºÐ¿­º´ ȯÀÚÀÇ »çȸÀû ¹«Äè°¨Áõ ôµµ ¹× Á¤»ó´ëÁ¶±ºÀÇ ¹«Äè°¨Áõ ôµµ Á¡¼ö¿Í ³ú Ç÷·ù·®Àº À¯ÀÇÇÑ »ó°ü°ü°è¸¦ º¸ÀÌÁö ¾Ê¾Ò´Ù. °á·Ð:À̹ø ¿¬±¸¸¦ ÅëÇØ Á¤½ÅºÐ¿­º´ ȯÀÚÀÇ ¹«Äè°¨ Áõ»ó°ú °ü·ÃÀÖ´Â °÷À¸·Î º¸°íµÈ ³ú ¿µ¿ªµéÀº ÁÖÀ§ ȯ°æ¿¡ ´ëÇÑ °¨½Ã(monitoring)¿Í µ¿±â(motivation)ÀÇ Á¶Àý, Á¤¼­Àû Á¤º¸Ã³¸® ¹× Á¶Àý°ú °ü·ÃµÈ ±¸Á¶µéÀÌ´Ù. ÀÌ ¿¬±¸´Â Á¤½ÅºÐ¿­º´ ȯÀÚ¿¡¼­ ¹«Äè°¨ÁõÀ» º¸ÀÌ°Ô µÇ´Â ½Å°æÇÐÀû ±¸Á¶µéÀ» ã¾Æº¼ ¼ö ÀÖ´Â °è±â¸¦ Á¦°øÇϰí ÀÖÀ¸¸ç, ¾ÕÀ¸·Î Á¤½ÅºÐ¿­º´ÀÇ ¹«Äè°¨Áõ°ú °ü·ÃµÈ Ãß°¡ÀûÀÎ ¿¬±¸°¡ ÇÊ¿äÇÒ °ÍÀÌ´Ù.



430088
³­Ä¡¼º ȯûÁõ»óÀÌ ÀÖ´Â Á¤½ÅºÐ¿­º´ ȯÀÚÀÇ ³ú ´ë»ç Ư¼º : ¾çÀüÀÚ¹æÃâ´ÜÃþÃÔ¿µ(PET) ¿¬±¸
¿¬¼¼´ëÇб³ Àǰú´ëÇÐ Á¤½Å°úÇб³½Ç©ö , ¿¬¼¼´ëÇб³ Àǰú´ëÇÐ ÀÇÇÐÇൿ°úÇÐ ¿¬±¸¼Ò©÷ , ¿¬¼¼´ëÇб³ Àǰú´ëÇÐ Áø´Ü¹æ»ç¼±°úÇб³½Ç©ø
¼®Á¤È£ ©ö ,©÷£ª,±èÀçÁø ©ö ,©÷, ©ø, ÀüÁö¿ø©÷, ÀÌÈ«½Ä©ö ,©÷ , ¹ÚÇØÁ¤ ©ø, À±¹ÌÁø©ø, ÀÌÁ¾µÎ©ø
¸ñÀû: Á¤½ÅºÐ¿­º´ÀÇ Á¤½Åº´¸®¿Í °ü·ÃµÈ ½Å°æ±â´ÉÀÌ»óÀ» ¹àÈ÷±â À§ÇØ Áö¼ÓÀûÀÎ ¾à¹°Ä¡·á¿¡µµ ºÒ±¸Çϰí ȯûÀÌ Áö¼ÓµÇ°í Àִ ȯÀÚ±º°ú ¸Á»ó ¹× ´Ù¸¥ Áõ»óÀº ÀÖÀ¸¸é¼­ ȯûÀº ¾ø´Â ȯÀÚ±ºÀ» ´ë»óÀ¸·Î ¾çÀüÀÚ¹æÃâ ´ÜÃþÃÔ¿µÀ» ½ÃÇàÇÏ¿© Á¤»ó´ëÁ¶±º°ú ºñ±³ÇÏ¿´´Ù. À̸¦ ÅëÇØ Á¤½ÅºÐ¿­º´ ȯÀÚÀÇ Áõ»ó Ư¼º¿¡ ƯÀÌÀûÀÎ ½Å°æ°èÀÇ ÀÌ»óÀ» °üÂûÇØº¸°íÀÚ ÇÏ¿´´Ù. ¹æ¹ý:¼¼ºê¶õ½ºÁ¤½Å°Ç°­º´¿ø¿¡¼­ Ä¡·áÁßÀÎ Á¤½ÅºÐ¿­º´ ȯÀÚ Áß ³­Ä¡¼º ȯûÀÌ Áö¼ÓµÇ°í Àִ ȯÀÚ 12¸í(³²ÀÚ6¸í, ¿©ÀÚ6¸í)°ú ȯûÀÌ ¾ø´Â ȯÀÚ 12¸í(³²ÀÚ6¸í, ¿©ÀÚ6¸í)¸¦ ¼±º°Çϰí, ¼ºº° ¹× ³ªÀ̷Π¦À» ¸ÂÃá Á¤»ó´ëÁ¶±º 22¸í(³²ÀÚ11¸í, ¿©ÀÚ11¸í)À» ¸ðÁýÇÏ¿© [18F] fluoro-deoxy-glucose (FDG)- positron emission tomography (PET)À» ÀÌ¿ëÇÏ¿© ¾ÈÁ¤½Ã ³úȰ¼ºÈ­ Á¤µµ¸¦ ÃøÁ¤ÇÏ¿´°í Á¤½ÅºÐ¿­º´ ȯÀÚ±ºÀÇ Áõ»óÀº ¾ç¼º ¹× À½¼º ÁõÈıº ôµµ(PANSS)¸¦ ÀÌ¿ëÇÏ¿© ÃøÁ¤ÇÏ¿´´Ù. ³ú Ȱ¼ºÈ­ Á¤µµ¿¡ ´ëÇÑ ºÐ¼®Àº statistical parametric mapping(SPM99)À» ÀÌ¿ëÇÏ¿´´Ù. °á°ú:Á¤½ÅºÐ¿­º´ ȯÀÚ±ºÀº ȯûÀÇ À¯¹«¿¡ °ü°è¾øÀÌ °øÅëÀûÀ¸·Î Á¤»ó´ëÁ¶±º¿¡ ºñÇØ ¾çÃø ±âÀú ½Å°æÀý(basal ganglia), ¾çÃø ÃøµÎ±Ø(temporal pole), Àü¿îµ¿¿µ¿ª(premotor area) µî¿¡¼­ ±¹¼Ò ³úÇ÷·ù·®(rCBF)ÀÌ Áõ°¡µÇ¾ú´Ù. ³­Ä¡¼º ȯûÀÌ Àִ ȯÀÚ±ºÀº Á¤»ó ´ëÁ¶±º ¹× ȯûÀÌ ¾ø´Â ȯÀÚ±º¿¡ ºñÇØ ¼Ò³úÀÇ ±¤¹üÀ§ÇÑ ¿µ¿ª¿¡¼­ ±¹¼Ò ³úÇ÷·ù·®ÀÌ Áõ°¡µÇ¾úÀ¸¸ç ¾çÃø ÀüµÎ¿±¿¡¼­ÀÇ ±¹¼Ò ³úÇ÷·ù·®Àº °¨¼ÒµÇ¾ú´Ù. ȯûÀÌ ¾ø´Â ȯÀÚ±ºÀº Á¤»óÀο¡ ºñÇØ ¾çÃø ¾È¿ÍÀüµÎ¿± ºÎÀ§ÀÇ ±¹¼Ò ³úÇ÷·ù·®ÀÌ À¯ÀÇÇÏ°Ô Áõ°¡ÇÏ¿´À¸¸ç ±¹¼Ò ³úÇ÷·ù·®ÀÌ Á¤»ó´ëÁ¶±º¿¡ ºñÇØ À¯ÀÇÇÏ°Ô °¨¼ÒµÈ ¿µ¿ªÀº ¾ø¾ú´Ù. ȯûÀÌ Àִ ȯÀÚ±ºÀÌ È¯Ã»ÀÌ ¾ø´Â ȯÀÚ±º¿¡ ºñÇØ ¾ç¼ºÁõ»óôµµ Á¡¼ö´Â À¯ÀÇÇÏ°Ô ³ô¾ÒÀ¸³ª À½¼º ¹× ÀϹÝÁ¤½Åº´¸® ôµµ Á¡¼ö´Â À¯ÀÇÇÑ Â÷À̸¦ º¸ÀÌÁö ¾Ê¾Ò´Ù. °á·Ð:³­Ä¡¼º ȯûÀÌ ÀÖ´Â Á¤½ÅºÐ¿­º´ ȯÀÚ±ºÀº ȯûÀÌ ¾ø´Â ȯÀÚ±º¿¡ ºñÇØ ¼Ò³úÀÇ °úȰ¼ºÈ­ ¹× ÀüµÎ¿± ±â´ÉÀúÇÏ µîÀ» º¸ÀÌ¸ç ±¤¹üÀ§ÇÑ ½Å°æ±â´ÉÀÌ»óÀÌ °üÂûµÇ°í ÀÖ´Ù. ÇÑÆí, ȯûÀÌ ¾ø´Â Á¤½ÅºÐ¿­º´ ȯÀÚ±ºÀº ÀÌÀüÀÇ ¿¬±¸µé¿¡¼­ ¾à¹°Ä¡·á¿Í °ü·ÃÇÏ¿© ³ú Ȱ¼ºÈ­°¡ Áõ°¡µÈ´Ù°í º¸°íµÈ ¿µ¿ªÀ» Á¦¿ÜÇϸé ÃøµÎ¿±°ú ÀüµÎ¿±ÀÇ ÀϺοµ¿ª¿¡¼­ °úȰ¼ºÈ­ ¾ç»óÀ» º¸À̰í ÀÖ´Ù. ÀÌ ¿¬±¸´Â Á¤½ÅºÐ¿­º´ ȯÀÚ±º ³»¿¡¼­ Áõ»óƯ¼º¿¡ µû¶ó ½Å°æ°èÀÇ ±â´ÉÀÌ»óÀÌ ´Ù¸£°Ô Á¸ÀçÇÒ ¼ö ÀÖÀ½À» ½Ã»çÇÑ´Ù.



430089
SPM Analysis of Brain Perfusion SPECT and F-18 FDG PET in the Korean Autosomal Dominant Nocturnal Frontal Lobe Epilepsy Family
Department of Nuclear Medicine, Keimyung University Dongsan Medical Center
Kyoung Sook Won£ª,Seok Kil Zeon
Purpose: This study attempted to investigate the specific pattern of brain perfusion and glucose metabolism in the korean autosomal dominant nocturnal frontal lobe epilepsy (ADNFLE) family. Methods:Using Tc-99m ECD brain perfusion SPECT, we assessed brain perfusion in 6 patients at interictal period and 5 patients at ictal period. Interictal F-18 FDG PET was performed on 6 affected family members. The scans were statistically analyzed by using statistical parametric mapping (SPM99). The data of the affected family members were compared to those of the control subjects. Results:Interictal F-18 FDG PET SPM group analysis showed decreased glucose metabolism over the left middle and superior frontal gyri and the left central regions, including the anterior parietal lobe. There was a less pronounced decrease in glucose uptake in the right anterior superior frontal gyrus. Interictal brain perfusion SPECT SPM group analysis showed similar pattern of decreased perfusion compared to those of interictal F-18 FDG PET. Ictal brain perfusion SPECT SPM group analysis revealed increased perfusion over the left pre- and postcentral gyri and less pronounced increased perfusion in the right postcentral gyrus. Conclusion:Interictal F-18 PET and brain perfusion SPECT SPM group analysis suggest that major abnormalities of ADNFLE family are in the left frontal lobe. These findings may be helpful to elucidate the pathophysiological mechanism of this rare disease entity.



430090
SPM(Statistical Parametric Mapping)À» ÀÌ¿ëÇÑ Æ¯¹ß¼º ÆÄŲ½¼º´(Idiopathic Parkinson¡¯s disease) °ú ÆÄŲ½¼ ÁõÈıº ¿ì¼¼ ´Ù¹ß¼º ³ú½Å°æ°è À§ÃàÁõ(Multiple System Atrophy-predominent Parkinsonism, MSA-P) »çÀÌÀÇ °ü·ù ¾ç»ó ºñ±³
¾ÆÁÖ´ëÈø±³º´¿ø ÇÙÀÇÇаú©ö ,¾ÆÁÖ´ëÇб³º´¿ø ½Å°æ°ú©÷
¾È¿µ½Ç©ö£ª,À±Áرâ©ö, À̸íÈÆ©ö ,Á¶Ã¶¿ì©ö ,À±¼®³²©ö ,ÁÖ¾ï½Ä©÷ ,ÀÌÇÊÈÞ©÷
¸ñÀû: Ư¹ß¼º ÆÄŲ½¼º´(Idiopathic Parkinson¡¯s disease) °ú ÆÄŲ½¼ ÁõÈıº ¿ì¼¼ ´Ù¹ß¼º ³ú½Å°æ°è À§ÃàÁõ(Multiple System Atrophy-predominent Parkinsonism, MSA-P)´Â Áõ»óÀÌ ºñ½ÁÇÏ¿© ÀÓ»óÀûÀ¸·Î °¨º°Áø´Ü Çϱ⠾î·Á¿ì³ª, ´ë³ú ÇÇÁú°ú ÇÇÁúÇÏ ±¸Á¶¿¡ À־ ¼­·Î ´Ù¸¥ º´Å»ý¸®¸¦ °¡Áö±â ¶§¹®¿¡ ´ë³ú Ç÷¾× °ü·ù Á¤µµ¸¦ Æò°¡ ÇÔÀ¸·Î½á °¨º°Áø´Ü¿¡ µµ¿òÀ» ÁÙ ¼ö ÀÖ´Ù. º» ¿¬±¸¿¡¼­´Â SPM(Statistical Parametric Mapping)À» ÀÌ¿ëÇÏ¿© Ư¹ß¼º ÆÄŲ½¼º´(IPD) °ú ÆÄŲ½¼ ÁõÈıº ¿ì¼¼ ´Ù¹ß¼º ³ú½Å°æ°è À§ÃàÁõ(MSA-P) »çÀÌÀÇ ´ë³ú Ç÷¾× °ü·ù ¾ç»óÀÇ Â÷ÀÌÀ» ºñ±³ÇÏ¿´´Ù. ¹æ¹ý:Ư¹ß¼º ÆÄŲ½¼ ȯÀÚ(IPD) 21¸í(³²ÀÚ 6, ¿©ÀÚ 15; Æò±Õ ³ªÀÌ 68¼¼), ÆÄŲ½¼ ÁõÈıº ¿ì¼¼ ´Ù¹ß¼º ³ú½Å°æ°è À§ÃàÁõ(MSA-P)ȯÀÚ 14¸í(³²ÀÚ 7, ¿©ÀÚ 7; Æò±Õ ³ªÀÌ 64¼¼), Á¤»ó ´ëÁ¶±º 12¸íÀ» ´ë»óÀ¸·Î 99m Tc-ethylcysteine dimmer(ECD) SPECT À» ½ÃÇàÇÏ¿´´Ù. ¾çÃø¼º t-°ËÁ¤¹ý SPM(uncorrected P<0.001, extended threshold > 100 voxel) À» ÀÌ¿ëÇÏ¿© °¢°¢ÀÇ Æ¯¹ß¼º ÆÄŲ½¼±º°ú ÆÄŲ½¼ ÁõÈıº ¿ì¼¼ ´Ù¹ß¼º ³ú½Å°æ°è À§ÃàÁõ±ºÀ» Á¤»ó±º°ú ºñ±³ÇÏ¿´´Ù. °á°ú:Ư¹ß¼º ÆÄŲ½¼º´(IPD)±ºÀº Á¤»ó±º°ú ºñ±³ÇÒ ¶§ ¾çÃø ²¿¸®ÇÙ(caudate nucleus), ½Ã»ó(thalmus), ´ë»óÀ̶û(cingulate gyrus), ÀüµÎ¿±(frontal), »óÃø ÃøµÎ¿±(superior temporal cortex)ÀÇ Ç÷¾× °ü·ù°¡ ÀǹÌÀÖ°Ô °¨¼ÒÇÏ¿´´Ù(P<0.001). ÆÄŲ½¼ ÁõÈıº ¿ì¼¼ ´Ù¹ß¼º ³ú½Å°æ°è À§ÃàÁõ(MSA-P)±ºÀº Á¤»ó±º°ú ºñ±³½Ã ¾çÃø ²¿¸®ÇÙ(caudate nucleus), ´ë»óÀ̶û(cingulate gyrus), ÀüµÎ¿±(frontal lobe)ÀÇ Ç÷·ù°¡ ÀǹÌÀÖ°Ô °¨¼ÒÇÏ¿´´Ù(P<0.001). Ư¹ß¼º ÆÄŲ½¼º´(IPD)±º°ú ÆÄŲ½¼ ÁõÈıº ¿ì¼¼ ´Ù¹ß¼º ³ú½Å°æ°è À§ÃàÁõ(MSA-P)±ºÀ» ºñ±³Çϸé, ¾çÃø ¼Ò³úÀÇ °ü·ù °¨¼Ò°¡ ÀǹÌÀÖ°Ô ³ªÅ¸³µÀ¸¸ç(uncorrected p < 0.005), ¹Ý¸é ±âÀúÇÙÀÇ °ü·ù Á¤µµ´Â Â÷À̰¡ ¾ø¾ú´Ù. °á·Ð:Ư¹ß¼º ÆÄŲ½¼º´(IPD) °ú ÆÄŲ½¼ ÁõÈıº ¿ì¼¼ ´Ù¹ß¼º ³ú½Å°æ°è À§ÃàÁõ(MSA-P)ÀÇ °ü·ù Á¤µµ¸¦ ºñ±³ÇØ º¼ ¶§, ´ë³ú ÇÇÁú-ÇÇÁúÇÏ °ü·ù¿¡¼­´Â À¯ÀÇÇÑ Â÷À̸¦ º¸ÀÌÁö ¾ÊÁö¸¸, ¼Ò³ú¿¡¼­´Â ÆÄŲ½¼ ÁõÈıº ¿ì¼¼ ´Ù¹ß¼º ³ú½Å°æ°è À§ÃàÁõ(MSA-P)¿¡¼­ ÀǹÌÀÖ°Ô °¨¼Ò µÇ¾îÀÖÀ¸¸ç, ÀÌ´Â µÎ ÁúȯÀ» °¨º°Áø´Ü Çϴµ¥ µµ¿òÀ» ÁÙ ¼ö ÀÖ´Ù.



430096
Correlation of Crossed Cerebellar Diaschisis with Motor impairment of the Hemiplegic Upper Extremity in Stroke Patients
Departments of Nuclear Medicine©ö and Rehabilitation Medicine©÷, Chonnam National University Medical School
Ho-Chun Song©ö£ª,In Sung Choi©÷, Young-Jun Heo©ö, Jeong-Jun Min©ö, Sam Gyu Lee©÷, Hee-Seung Bom©ö
Purpose: The aim of this study was to investigate the correlation between crossed cerebellar diaschisis (CCD) and motor evoked potentials (MEPs) and to study the relationship between CCD and the severity and prognosis of stroke. Methods:Twenty-eight patients with first-ever unilateral stroke underwent brain perfusion SPECT with Tc-99m ECD. The existence of CCD was evaluated by visual inspection on SPECT images. The central motor conduction times were obtained from Abductor pollicis brevis and Abductor hallucis by recording MEPs. The National Institutes of Health stroke scale, the motricity Index (MI), and the functional outcome scales were measured. Results:Fifteen of 28 patients (53.6%) had CCD. The presence of CCD was significantly correlated with ¡°not evoked" MEPs in the upper extremity (p<0.01). The existence of CCD was not associated with the locations (p>0.05) and volume of brain lesion (p>0.05). There was a significant correlation between the presence of CCD and lower MI score of upper extremity (p<0.05). Conclusion:The presence of CCD would indicate the damage on the descending motor pathways and be associated with the severe motor impairment of the upper extremity in stroke patients.



430099
µÎºÎ ¿Ü»ó ÈÄ ÁöÀû ´É·Â Àå¾Ö ÆÇÁ¤¿¡ À־ ±¹¼Ò ³úÇ÷·ù SPECTÀÇ À¯¿ë¼º;ÇØºÎÇÐÀû ¿µ»ó°úÀÇ ºñ±³
µ¿±¹´ëÇб³Àǰú´ëÇÐ Áø´Ü¹æ¼±°úÇб³½Ç©ö, °è¸í´ëÇб³Àǰú´ëÇÐÇÙÀÇÇб³½Ç©÷, Á¤½Å°úÇб³½Ç ©ø
Àü¼®±æ©÷£ª,±¸°ü¹Î©ö , ±è¼ø©ö ,¿ø°æ¼÷©÷,±èÁ¤¹ü ©ø
¸ñÀû: µÎºÎ ¿Ü»ó ÈÄ ³ëµ¿´É·ÂÀÇ ½É°¢ÇÑ Àå¾Ö¸¦ ½Ã»çÇÏ´Â ÁöÀû ´É·Â Àå¾Ö¸¦ Áø´ÜÇϴµ¥ ÀÖ¾î ±¹¼Ò ³úÇ÷·ù SPECT¸¦ MR ¶Ç´Â CT µî ÇØºÎÇÐÀû ¿µ»ó°ú ºñ±³ÇÏ¿© À¯¿ë¼ºÀ» ¾Ë¾Æ º¸°íÀÚ ÇÏ¿´´Ù. ¹æ¹ý:µÎºÎ ¿Ü»ó ÈÄ ÁöÀû ´É·Â Àå¾Ö¸¦ ÁÖ¼Ò·Î ¹ý¿øÀ¸·ÎºÎÅÍ Á¤½Å°¨Á¤À» ÀÇ·Ú¹ÞÀº ȯÀÚ¿¡¼­ ±¹¼Ò ³úÇ÷·ù SPECT(rCBF SPECT)¿Í µÎºÎ ÀÚ±â°ø¸í¿µ»ó(MRI) ȤÀº Àü»êÈ­´ÜÃþÃÔ¿µ(CT)¸¦ ÇÔ²² ½ÃÇàÇÑ 10·Ê¸¦ ¿¬±¸´ë»óÀ¸·Î ÇÏ¿´´Ù. 10·Ê¿¡¼­ Tc-99m ECD rCBF SPECT °Ë»ç ÇÑ ´Þ À̳»¿¡ MRI ȤÀº CT¸¦ ½ÃÇàÇÏ¿´´Ù. ´ë»ó ȯÀÚ´Â Á¤½Å°ú Àǻ簡 Á¤½Å °¨Á¤À» ½ÃÇàÇÏ¿© ÁöÀû ´É·Â Àå¾Ö ¿©ºÎ¸¦ ÆÇÁ¤ ÇÏ¿´À¸¸ç, ÁöÀû´É·Â Àå¾Ö¸¦ º¸ÀΠȯÀÚ¿Í ±×·¸Áö ¾ÊÀº ȯÀÚ¸¦ ±¸ºÐÇÏ¿© MRI ¶Ç´Â CT ¿µ»ó°ú rCBF SPECT ¿µ»óÀ» ºñ±³ ºÐ¼®ÇÏ¿´´Ù. °á°ú:10·Ê °¡¿îµ¥ 6·Ê´Â ÁöÀû ´É·Â Àå¾Ö¸¦ º¸¿´°í, 4·Ê´Â Á¤»óÀ̾ú´Ù. rCBF SPECT ¿µ»ó¿¡¼­ ÁöÀû ´É·Â Àå¾Ö¸¦ º¸ÀÎ 6·Ê ¸ðµÎ¿¡¼­ ±¹¼ÒÇ÷·ùÀÇ °¨¼Ò ȤÀº °á¼ÕÀ» º¸¿´À¸¸ç, ÁöÀû ´É·Â Àå¾Ö°¡ ¾ø¾ú´ø 4·Ê´Â ¸ðµÎ Á¤»óÀ̾ú´Ù. µÎºÎ MRI ȤÀº CT ¿¡¼­´Â ÁöÀû´É·Â Àå¾Ö°¡ ÀÖ¾ú´ø 6·Ê °¡¿îµ¥ 5·Ê¿¡¼­ ³ú½ÇÁúÀÇ º´º¯ÀÌ ÀÖ¾ú°í 1·Ê¿¡¼­ Á¤»ó ¼Ò°ßÀ» º¸¿´À¸¸ç, ÁöÀû ´É·Â Àå¾Ö°¡ ¾ø´Â 4·Ê °¡¿îµ¥ 2·Ê´Â ³ú½ÇÁú º´º¯, 2·Ê´Â Á¤»óÀ̾ú´Ù. ÁöÀû ´É·Â Àå¾Ö¸¦ º¸¿´À¸³ª ÇØºÎÇÐÀû ¿µ»ó¿¡¼­ ³ú½ÇÁú º´º¯ÀÌ ¾ø¾ú´ø 1·Ê¿¡¼­ rCBF SPECT¿¡ ¾çÃø ÀüµÎ¿± ÇÇÁúÀÇ ´Ù¹ß¼º Ç÷·ù °¨¼Ò¸¦ º¸¿´´Ù. ÇØºÎÇÐÀû ¿µ»ó¿¡¼­ ¿Ü»ó¿¡ ÀÇÇÑ ³ú½ÇÁú º´º¯ÀÌ ÀÖ¾úÀ¸³ª rCBF SPECT°¡ Á¤»óÀ» º¸ÀÎ Áõ·Ê°¡ ÀÖ¾úÀ¸³ª ÁöÀû ´É·Â Àå¾Ö´Â ¾ø¾ú´Ù. °á·Ð:µÎºÎ ¿Ü»ó¿¡¼­ ÁöÀû ´É·Â Àå¾Ö´Â ³úÀÇ ±âÁúÀû º´º¯À» ½Ã»çÇÏ´Â ¼Ò°ßÀ¸·Î ³ëµ¿·Â ¼Õ½ÇÀ» °¡Á® ¿Â´Ù. ÀúÀÚµéÀÇ ¿¬±¸¿¡¼­ ÁöÀû ´É·Â Àå¾Ö¸¦ À¯¹ßÇÏ´Â ³úÀÇ ±âÁúÀû º´º¯À» °üÂûÇÔ¿¡ À־, rCBF SPECT´Â ±¹¼Ò ³úÇ÷·ù °¨¼Ò¸¦ À¯¹ßÇÏÁö ¾Ê´Â ÇØºÎÇÐÀû ¿µ»óÀÇ ³ú½ÇÁú º´¼Ò¿Í, ÇØºÎÇÐÀû ³ú½ÇÁú º´¼Ò¸¦ ÀÏÀ¸Å°Áö ¾Ê´Â ±¹¼Ò ³úÇ÷·ù °¨¼Ò¸¦ Áø´ÜÇϴµ¥ À¯¿ëÇÏ¿´´Ù. µû¶ó¼­ rCBF SPECT´Â ¿Ü»ó ÈÄ ÁöÀû´É·Â Àå¾Ö¸¦ ÆÇÁ¤Çϴµ¥ ¸Å¿ì À¯¿ëÇÒ °ÍÀ¸·Î »ý°¢µÈ´Ù.



430120
Regional Cerebral Glucose Metabolic Changes in Oculopalatal Myoclonus: Implication for Neural Pathways Underlying the Disorder
Departments of Nuclear Medicine©ö and Neurology©÷, Seoul National University College of Medicine
Sang Soo Cho©ö£ª,So Young Moon©÷, Ji Soo Kim©÷, Sang Eun Kim©ö
Purpose: Palatal myoclonus (PM) is characterized by rhythmic involuntary jerky movements of the soft palate of the throat. When associated with eye movements, it is called oculopalatal myoclonus (OPM). Ordinary PM is characterized by hypertrophic olivary degeneration, a trans-synaptic degeneration following loss of neuronal input to the inferior olivary nucleus due to an interruption of the Guillain-Mollaret triangle usually by a hemorrhage. However, the neural pathways underlying the disorder are uncertain. In an attempt to understand the pathologic neural pathways, we examined the metabolic correlates of this tremulous condition. Methods:Brain FDG PET scans were acquired in 8 patients with OPM (age, 49.9¡¾4.6 y; all males; 7 with pontine hemorrhage, 1 with diffuse brainstem infarction) and age-matched 50 healthy males (age, 50.7¡¾ 9.0) and the regional glucose metabolism compared using SPM99. For group analysis, the hemispheres containing lesions were assigned to the right side of the brain. Results:Patients with OPM had significant hypometabolism in the ipsilateral (to the lesion) brainstem and superior temporal and parahippocampal gyri (P < 0.05 corrected, k = 100). By contrast, there was significant hypermetabolism in the contralateral middle and inferior temporal gyri, thalamus, middle frontal gyrus and precuneus (P < 0.05 corrected, k=100). Conclusion:Our data demonstrate the distinct metabolic changes between several ipsilateral and contralateral brain regions (hypometabolism vs. hypermetabolism) in patients with OPM. This may provide clues for understanding the neural pathways underlying the disorder.



430138
¼±Ãµ¼º Àü³ó ȯ¾ÆÀÇ Àΰø¿Í¿ì°ü ÀÌ½Ä ¼úÀü µÎ³ú F18-FDG PET ¿µ¿ª º° FDG-uptake¿Í ¼ö¼úÈÄ ¿¹ÈÄÀÇ »ó°ü°ü°è ¿¬±¸
1¼­¿ï´ëÇб³ Àǰú´ëÇÐ ÇÙÀÇÇаú, 2¼­¿ï´ëÇб³ Àǰú´ëÇÐ À̺ñÀÎÈİú
ÀÌÀ±»ó£ª,ÀÌÀ±»ó1, °­ÀºÁÖ1, °­ÇýÁø1 , ÀÌÈ¿Á¤2, ¿À½ÂÇÏ2, ±èÁ¾¼±2 À̵¿¼ö1,À̸íö1
¸ñÀû: Àΰø ¿Í¿ì°ü À̽ļö¼ú ÈÄ ¼±Ãµ¼º Àü³ó¾ÆµéÀÇ Ã»°¢¾ð¾î ÀçȰ´É·ÂÀº ´Ù¾çÇÑ °³ÀÎÂ÷À̸¦ º¸À̸ç, ÀÌ´Â ¼úÀü µÎ³úÀÇ ±â´ÉÀû Â÷ÀÌ¿Í °ü·ÃÀÖÀ» °ÍÀ¸·Î ¿©°ÜÁø´Ù. µû¶ó¼­ º» ¿¬±¸¿¡¼­´Â ¼ö¼ú Àü µÎ³ú Ç÷´ç´ë»ç Á¤µµ¸¦ °ü½É¿µ¿ªº°·Î ¼¼ºÐÈ­Çϰí, ¼ö¼ú ÈÄ Ã»°¢ ¾ð¾î°Ë»ç °á°úÀÇ »ó°ü °ü°è¸¦ ºÐ¼®ÇÔÀ¸·Î½á û°¢¾ð¾î ȸº¹¿¡ °ü¿©ÇÏ´Â µÎ³ú¿µ¿ªÀ» È®ÀÎÇϰíÀÚ ÇÏ¿´´Ù. ¹æ¹ý:¼±Ãµ¼º Àü³ó ȯ¾Æµé(n=36, age: 1.6~12.1¼¼)·ÎºÎÅÍ È¹µæµÈ F18-FDG PET ¿µ»óµéÀº SPM99À» ÅëÇÑ °ø°£Á¤±ÔÈ­ °úÁ¤À» °ÅÄ£ ÈÄ, ¾çÃø ÀÏÂ÷ û°¢ÇÇÁú¿µ¿ª°ú SPAM(Statistical Probabilistic Anatomical Map)¿¡ ÀÇÇÑ °ü½É¿µ¿ª 89°³¸¦ Æ÷ÇÔÇÑ ÃÑ 91°³ °ü½ÉºÎÇÇ¿µ¿ª(VOI)À¸·Î ÀçÁ¤ÀÇ µÇ¾ú´Ù. °¢ VOIº° Æò±Õ FDG-uptake´Â ¼ö¼ú 2³â ÈÄÀÇ Ã»°¢¾ð¾î ´É·Â ÃøÁ¤Ä¡ÀÎ K-CID(Korean–Central Institute of Deaf) Á¡¼ö ¹× ¼ö¼ú ½ÃÀÇ È¯¾Æ ¿¬·É µî°ú »ó°ü ºÐ¼® µÇ¾úÀ¸¸ç, Ãß°¡·Î Á¤»ó¼ºÀÎÁý´Ü(N=15)°ú ºñ±³½Ã »ó´ëÀûÀ¸·Î ³·Àº FDG uptake¸¦ º¸ÀÌ´Â °¢ VOI ¿µ¿ª°ú KCIDÁ¡¼ö ¹× ³ªÀÌ¿ÍÀÇ »ó°ü°ü°è¸¦ »ìÆìº¸¾Ò´Ù. °á°ú:ÁÂÃø ÈÄÃøµÎ¿±(Left lateral occipito temporal gyrus)¿¡¼­ÀÇ ´ç ´ë»ç·®°ú KCID Á¡¼ö°£¿¡´Â ºÎÀû »ó°üÀÌ °üÂûµÇ¾úÀ¸¸ç, ¿ª½Ã µ¿ÀÏÇÑ ¿µ¿ª¿¡¼­ Á¤»óÀÎ µÎ³ú¿¡ ºñÇØ ´ç ´ë»ç·®ÀÌ À¯ÀǹÌÇÏ°Ô ³·À»¼ö·Ï KCID Á¡¼ö´Â ³ôÀ½ÀÌ ¹ß°ßµÇ¾ú´Ù. °á·Ð:Àΰø ¿Í¿ì°ü ÀÌ½Ä ¼ö¼ú ÀÌÀüÀÇ ÁÂÃø ÈÄÃøµÎ¿±ÀÇ Ç÷´ç´ë»çÀÇ »ó´ëÀû °¨¼Ò Á¤µµ´Â ¼±Ãµ¼º Àü³ó¾ÆµéÀÇ ¼ö¼ú ÈÄ Ã»°¢ ¾ð¾î ȸº¹ ´É·Â ¿©ºÎ¿Í ¹ÐÁ¢ÇÑ °ü·ÃÀÌ ÀÖÀ½À» ¾Ë ¼ö ÀÖ´Ù.



430179
ŰÅä»ê ºñ°è¸¦ ÀÌ¿ëÇÑ ½Å°æÁٱ⼼Æ÷ÀÇ °íÁ¤
¼­¿ï´ëÇб³º´¿ø ÇÙÀÇÇаú©ö , ÀÌÈ­¿©ÀÚ´ëÇб³ ¾àÇаú©÷
±èÀ±Èñ©ö£ª,À̵¿¼ö©ö , °­ÁÖÇö©ö , Á¤Áرâ©ö , Á¤Àç¹Î©ö , À̸íö©ö , À̽ÂÁø©÷
¸ñÀû: ¾Ï¼¼Æ÷¿Í ´Þ¸® ½Å°æÁٱ⼼Æ÷´Â »ýü ³» ¿¡¼­ Á¾±«¸¦ Çü¼ºÇÏÁö ¾ÊÀ¸¹Ç·Î ÇÙÀÇÇÐÀû ¿µ»óÀ» ¾ò´Âµ¥ ÀÖ¾î ¾î·Á¿òÀÌ ÀÖ´Ù. ÀÌ·¯ÇÑ ¾î·Á¿òÀ» ±Øº¹Çϱâ À§ÇØ À̹ø ¿¬±¸¿¡¼­´Â ŰÅä»ê ºñ°è¿¡ NIS À¯ÀüÀÚ¸¦ ¹ßÇöÇÏ´Â ½Å°æÁٱ⼼Æ÷¸¦ ¹è¾çÇØ ½ÇÇè°ü ³»¿¡¼­ ¹æ»ç¼º ¿ä¿Àµå ¼·ÃëÀ²À» ÃøÁ¤ ÇϰíÀÚ ÇÏ¿´´Ù. ¹æ¹ý:F3 ¼¼Æ÷´Â ÅÂ¾Æ telencephalon¿¡¼­ ½Å°æ Áٱ⠼¼Æ÷¸¦ ºÐ¸®ÇÑ ÈÄ v-myc À¯ÀüÀÚ·Î ºÒ¸êÈ­ ÇÑ ½Å°æÁٱ⠼¼Æ÷ÁÖÀÌ´Ù. hNIS À¯ÀüÀÚ¸¦ ¹ßÇöÇÏ´Â º¤ÅÍ pIRES-NIS/Hyg¸¦ Á¦ÀÛÇÑ ÈÄ ¸®Æ÷Á»À» ÀÌ¿ëÇÏ¿© F3 ¼¼Æ÷¸¦ ÇüÁúÀüȯ ÇÏ¿´´Ù(F3NIS). 1X105°³ÀÇ F3 ¼¼Æ÷¸¦ Áö¸§ 0.5cm, µÎ²² 0.1cmÀÇ Å°Åä»ê ºñ°è¿¡¼­ 7Àϰ£ ¹è¾ç ÈÄ ÁÖ»çÀüÀÚÇö¹Ì°æÀ¸·Î °üÂûÇÏ¿´´Ù. 5X105°³ÀÇ F3 ¼¼Æ÷¿Í F3NIS ¼¼Æ÷¸¦ Áö¸§ 0.3cm, µÎ²² 0.1cmÀÇ Å°Åä»ê ºñ°è¿¡¼­ 4Àϰ£ ¹è¾ç ÈÄ ¹æ»ç¼º¿ä¿Àµå ¼·Ãë´ÉÀ» °¨¸¶Ä«¿îÅÍ·Î ÃøÁ¤ÇÏ¿´´Ù. °á°ú:ÁÖ»çÀüÀÚÇö¹Ì°æ °üÂû °á°ú F3 ¼¼Æ÷´Â ŰÅä»ê ºñ°è¿¡ Àß ºÎÂøÇÏ°í ¼ºÀåÇÏ¿´´Ù. 5X105°³ÀÇ F3 ¼¼Æ÷¿Í F3NIS ¼¼Æ÷¸¦ ŰÅä»ê ºñ°è¿¡¼­ 4Àϰ£ ¹è¾ç ÈÄ ¹æ»ç¼º¿ä¿Àµå ¼·Ãë´É ÃøÁ¤°á°ú F3NIS ¼¼Æ÷´Â F3 ¼¼Æ÷º¸´Ù Æò±Õ 4.13¹è ³ôÀº ¼·Ãë´ÉÀ» º¸¿´´Ù. °á·Ð:À§¿Í °°Àº ½ÇÇè°ü³»¿¡¼­ÀÇ °á°ú¸¦ º¼ ¶§ »ýü ³» ¿¡¼­ ŰÅä»ê ºñ°è¸¦ ÀÌ¿ëÇÑ ½Å°æÁٱ⼼Æ÷ÀÇ ÇÙÀÇÇÐÀû ¿µ»ó ȹµæÀÌ °¡´É ÇÒ °ÍÀ¸·Î ±â´ëµÈ´Ù.



430188
Tc-99m ECD ³ú SPECT¸¦ ÀÌ¿ëÇÑ ÇÕ°î-°îÁö Àüħ Ä¡·áÀÇ ³úÇ÷·ù¿¡ ´ëÇÑ È¿°ú
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