摘要
目的 观察胰腺囊性病变64排螺旋CT表现,并分析其诊断标准.方法 搜集2020年3月至2023年3月行64排螺旋CT检查的70例胰腺囊性病变患者的临床资料,其中33例经术后病理检查获取诊断结果,8例有穿刺活检病理诊断结果,29例通过临床随访(≥12个月)获取最终的诊断结果.分析所有病变的64排螺旋CT诊断结果及影像学表现.结果 64排螺旋CT对假性囊肿、浆液性囊腺瘤、黏液性囊腺性肿瘤、实性-假乳头状瘤、导管内乳头状黏液瘤的正确诊断率分别为92.86％、81.82％、80.00％、83.33％、80.00％.5种胰腺囊性病变部位、形态、边界、囊壁、分房数目、分隔、壁结节或实性成分、周围改变、钙化、胰管扩张及是否与胰管相通比较,差异均有统计学意义(P＜0.05).浆液性囊腺瘤、黏液性囊腺性肿瘤形态、最大直径、囊壁、分房数目、胰管扩张比较,差异均有统计学意义(P＜0.05).结论 64排螺旋CT可清晰地显示胰腺囊性病变内部结构及与胰管、血管等周围结构的关系,结合临床相关病史,有助于术前准确诊断.
Abstract
Objective To observe the 64-slice spiral CT manifestations of pancreatic cystic lesions and analyze their di-agnostic criteria.Methods The clinical data of 70 patients with pancreatic cystic lesions who underwent 64-slice spiral CT examination from March 2020 to March 2023 were collected,of which 33 cases obtained diagnostic results by postopera-tive pathological examination,8 cases had puncture biopsy pathological diagnosis results,and 29 cases obtained final diag-nosis results by clinical follow-up(≥12 months).The 64-slice spiral CT diagnostic results and imaging findings of all le-sions were recorded.Results The correct diagnosis rates of pseudocysts,serous cystadenomas,mucinous cystadenomas,and solid-pseudopapillary tumors,intraductal papillary mucinous neoplasm by 64-slice spiral CT were 92.86％,81.82％,80.00％,and 83.33％,80.00％,respectively.There were statistically significant differences in the location,shape,bound-ary,cyst wall,number of cells,compartments,wall nodules or solid components,peripheral changes,calcification,pan-creatic duct dilation,and whether the five cystic lesions were interconnecting with pancreatic ducts(P＜0.05).There were significant differences between serous cystadenoma and mucinous cystadenoma in morphology,maximum diameter,cyst wall,cell number and pancreatic duct dilation(P＜0.05).Conclusion The internal structure of pancreatic cystic le-sions and their relationship with surrounding structures such as pancreatic ducts and blood vessels can be clearly shown by 64-slice spiral CT,which is helpful for accurate preoperative diagnosis in combination with clinical history.
基金项目
安徽省高等学校科研重点项目(2022AH051138)
NETL
NSTL
万方数据