南方医科大学学报
南方醫科大學學報
남방의과대학학보
JOURNAL OF SOUTHERN MEDICAL UNIVERSITY
2015年
5期
639-645
,共7页
方驰华%方兆山%范应方%李鉴轶%向飞%陶海粟
方馳華%方兆山%範應方%李鑒軼%嚮飛%陶海粟
방치화%방조산%범응방%리감질%향비%도해속
三维可视化%3D打印%3D腹腔镜%肝肿瘤%解剖性肝切除术
三維可視化%3D打印%3D腹腔鏡%肝腫瘤%解剖性肝切除術
삼유가시화%3D타인%3D복강경%간종류%해부성간절제술
three-dimensional visualization%3D printing%3D laparoscopy%hepatic tumors%anatomical hepatectomy
目的:研究三维可视化、3D打印、3D腹腔镜(3-3D技术)在肝脏肿瘤外科诊治中的应用价值。方法收集2013年11月~2015年1月22例肝脏肿瘤患者资料,首先进行上腹部薄层CT扫描,收集CT数据,然后利用MI-3DVS软件进行三维可视化、肝脏脉管分型、虚拟肝切除等术前规划。将三维可视化的STL文件打印3D物理模型,进行肝预切除面界定。采用3D腹腔镜进行解剖性肝切除。观察手术时间、术中出血量、实际肝切除体积、术后住院时间。结果肝动脉按Michels分型:Ⅰ型19例,Ⅱ型2例,Ⅷ型1例;门静脉按Cheng分型:Ⅰ型17例,Ⅱ型2例,Ⅲ型2例,Ⅳ型1例。肝静脉根据Nakamura分型:Ⅰ型10例,Ⅱ型7型,Ⅲ型5例。虚拟切除肝体积490±228 ml,残肝体积885±139 ml;残肝体积与功能肝体积之比0.71±0.11。3D打印模型立体显示了肝肿瘤和脉管的空间关系。20例完成腹腔镜肝切除术,2例中转开腹。手术时间186±92 min,术中出血量284±286 ml,实际切除肝体积491±192 ml,术后住院时间为8.6±3.7 d。结论3-3D技术有助于术前安全评估、关键解剖部位的定位、实时导航手术和解剖性肝切除术。
目的:研究三維可視化、3D打印、3D腹腔鏡(3-3D技術)在肝髒腫瘤外科診治中的應用價值。方法收集2013年11月~2015年1月22例肝髒腫瘤患者資料,首先進行上腹部薄層CT掃描,收集CT數據,然後利用MI-3DVS軟件進行三維可視化、肝髒脈管分型、虛擬肝切除等術前規劃。將三維可視化的STL文件打印3D物理模型,進行肝預切除麵界定。採用3D腹腔鏡進行解剖性肝切除。觀察手術時間、術中齣血量、實際肝切除體積、術後住院時間。結果肝動脈按Michels分型:Ⅰ型19例,Ⅱ型2例,Ⅷ型1例;門靜脈按Cheng分型:Ⅰ型17例,Ⅱ型2例,Ⅲ型2例,Ⅳ型1例。肝靜脈根據Nakamura分型:Ⅰ型10例,Ⅱ型7型,Ⅲ型5例。虛擬切除肝體積490±228 ml,殘肝體積885±139 ml;殘肝體積與功能肝體積之比0.71±0.11。3D打印模型立體顯示瞭肝腫瘤和脈管的空間關繫。20例完成腹腔鏡肝切除術,2例中轉開腹。手術時間186±92 min,術中齣血量284±286 ml,實際切除肝體積491±192 ml,術後住院時間為8.6±3.7 d。結論3-3D技術有助于術前安全評估、關鍵解剖部位的定位、實時導航手術和解剖性肝切除術。
목적:연구삼유가시화、3D타인、3D복강경(3-3D기술)재간장종류외과진치중적응용개치。방법수집2013년11월~2015년1월22례간장종류환자자료,수선진행상복부박층CT소묘,수집CT수거,연후이용MI-3DVS연건진행삼유가시화、간장맥관분형、허의간절제등술전규화。장삼유가시화적STL문건타인3D물리모형,진행간예절제면계정。채용3D복강경진행해부성간절제。관찰수술시간、술중출혈량、실제간절제체적、술후주원시간。결과간동맥안Michels분형:Ⅰ형19례,Ⅱ형2례,Ⅷ형1례;문정맥안Cheng분형:Ⅰ형17례,Ⅱ형2례,Ⅲ형2례,Ⅳ형1례。간정맥근거Nakamura분형:Ⅰ형10례,Ⅱ형7형,Ⅲ형5례。허의절제간체적490±228 ml,잔간체적885±139 ml;잔간체적여공능간체적지비0.71±0.11。3D타인모형입체현시료간종류화맥관적공간관계。20례완성복강경간절제술,2례중전개복。수술시간186±92 min,술중출혈량284±286 ml,실제절제간체적491±192 ml,술후주원시간위8.6±3.7 d。결론3-3D기술유조우술전안전평고、관건해부부위적정위、실시도항수술화해부성간절제술。
Objective To study the value of three-dimensional (3D) visualization, 3D printing and 3D laparoscopy (3-3D techniques) in the diagnosis and surgical treatment of hepatic tumors. Methods From November 2013 to January 2015, 22 patients with hepatic tumors admitted in our department underwent abdominal thin-slice CT scanning. The CT images were imported into Medical Image three Dimensional Visualization System (MI-3DVS) for 3D reconstruction. Standard Template Library (STL) files were exported for 3D printing. The hepatic vascular classification and predicted liver resection were performed with the aid of MI-3DVS system. The 3D models were then printed and virtual liver resections were executed accordingly. Based on these preoperative surgical planning data, we performed anatomical hepatectomy using 3D laparoscopy, and the intraoperative blood loss, volume of virtual and actual liver resection and postoperative hospital stay were recorded. Results According to Michels's classifications, 19 patients had type I, 2 had type II, and 1 had type VIII hepatic arteries;based on Cheng classifications, the portal vein was classified into type I in 17 cases, type II in 2 cases, and type III in 2 cases, and type IV in 1 case;according to Nakamura classifications, the right hemiliver hepatic vein was classified into type I in 10 cases, type II in 7 cases, and type III in 5 cases. In the virtual operations, the mean volume of liver resected was 490±228 ml and the mean remnant liver volume was 885 ± 139 ml, with a remnant to functional liver volume ratio of (71 ± 11)%. The 3D printed models stereoscopically displayed the location of the liver tumors and adjacent liver vascular structure clearly. Laparoscopic hepatectomy was performed successfully in 20 patients guided by the 3-3D techniques, and the other 2 patients required convertion to open hepatectomy. The mean operation time was 186±92 min, the intraoperative blood loss was 284±286 ml, the mean actual liver resection volume was 491±192 ml, and the mean postoperative hospital stay of the patients was 8.6±3.7 days. Conclusions The 3-3D technique can facilitate the evaluation of preoperative risk and critical anatomical structures and navigate the surgical procedure in real time in anatomical hepatectomy for hepatic tumors.