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表观扩散系数对卵巢浆液性癌亚型的鉴别诊断价值 被引量:1

Value of differential diagnosis in ovarian serous carcinoma subtypes with apparent diffusion coefficient
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摘要 目的:探讨磁共振扩散加权成像的表观扩散系数(ADC)值对低级别和高级别浆液性卵巢癌的鉴别价值。方法:回顾性分析本院38例经组织病理学证实的卵巢浆液性癌的MRI资料。MR图像经两名放射科医生联合阅片。ADC值测量经一名技师分别采用小圆形ROI法和最大层面积ROI法在独立工作站上进行。比较低级别浆液性卵巢癌(LGSC)和高级别浆液性卵巢癌(HGSC)的组间ADC值差异,同时评价测量一致性。分析两组间ADC值与Ki-67表达的相关性。结果:不同组别的ADC值测量一致性均较好,小圆形ROI法获得的ADC值测量一致性要优于最大层面积法。LGSC组与HGSC组的ADCmean、ADCmin、ADCmax和ADCarea差异均具有统计学显著意义(P<0.001)。总体浆液性卵巢癌的ADCarea与Ki-67表达呈负相关(r=-0.382,P=0.02),但在各亚组别则不具有相关性。ADCmin阈值为860×10-3mm2/s时诊断HGSC的AUC为0.967。结论:ADC值可用于鉴别卵巢浆液性癌鉴别。小圆形ROI法较最大层面积法ROI操作容易、简单。ADCmin对LGSC与HGSC的鉴别诊断效能最高。 Objective:To investigate the value of apparent diffusion coefficient(ADC)of diffusion weighted magnetic resonance imaging(DWI)in differentiating low-grade and high-grade serous ovarian cancer.Methods:The MRI data of 38 cases of serous ovarian carcinoma confirmed by histopathology in our hospital were retrospectively analyzed.MR images were reviewed by two radiologists.The ADC values were measured by a technician using the small circle ROI method and maximum area ROI method on a separate workstation.The ADC differences between low-grade serous ovarian cancer(LGSC)and high-grade serous ovarian cancer(HGSC)group were compared;the repeatability of ADC measurement was also evaluated between twice measurements.The correlation between ADC value and Ki-67 expression between the two groups was analyzed.Results:The measurement consistency of ADC values of different groups was good,and the measurement consistency of ADC values obtained by the small circle ROI method was better than that by the maximum area ROI method.There were statistically significant differences in ADCmean、ADCmin、ADCmax and ADCarea between LGSC group and HGSC group(P<0.001).There was a negative correlation between ADCarea and Ki-67 expression in overall serous ovarian cancer(r=-0.382,P=0.02),but there was no correlation in each subgroup.When the ADCmin threshold was 860×10-3mm2/s,the AUC of HGSC diagnosis was 0.967.Conclusion:ADC value can be used to differentiate ovarian serous carcinoma.The small circle ROI method is easier and simpler than that of the maximum area ROI method.ADCmin was the most effective in the differential diagnosis of LGSC and HGSC.
作者 陆沈明 张国福 刘雪芬 陶祥 谷守欣 张鹤 LU Shen-ming;ZHANG Guo-fu;LIU Xue-fen(Department of Radiology,Obstetrics and Gynecology Hospital,Fudan University,Shanghai 200011,China)
出处 《放射学实践》 CSCD 北大核心 2021年第3期366-370,共5页 Radiologic Practice
关键词 卵巢肿瘤 磁共振成像 表观扩散系数 扩散加权成像 Ovarian neoplasms Magnetic resonance imaging Apparent diffusion coefficient Diffusion weighted imaging
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  • 1Shaaban A, RezvaniM. Ovarian cancer: detection and radiologic staging[J]. Clinical Obstetrics and Gynecology, 2009,52 (1) : 73- 93.
  • 2Zhang H, Zhang GF, He ZY, et al. Prospective evaluation of 3T MRI findings for primary adnexal lesions and comparison with the final histological diagnosis[J]. Archives of Gynecology and Obstetrics, 2014,289 (2) :357-364.
  • 3Sala E, Rockall A, Rangarajan D, et al. The role of dynamic con- trast-enhanced and diffusion weighted magnetic resonance ima-ging in the female pelvis[J]. Eur J Radiology, 2010,76 (3):367- 385.
  • 4Bakir B, Bakan S, Tunaei M, et al. Diffusion-weighted imaging of solid or predominantly solid gynaeeologieal adnexial masses:is it useful in the differential diagnosis? [J]. Br J Radiology, 2011,84 (1003) :600-611.
  • 5Shinagare AB,Meylaerts LJ,Laury AR, et al. MRI features of o- varian fibroma and fibrothecoma with histopathologic correlation [J]. Am J Roentgenology,2012,198(3) :W296-W303.
  • 6Thomassin-Naggara I, Dechoux S, Bonneau C, et al. How to differ- entiate benign from malignant myometrial tumours using mr ima- ging[J]. Eur Radiology,2013,23(8):2306-2314.
  • 7Levy A, Medjhoul A, Caramella C, et al. Interest of diffusion- weighted echo-planar MR imaging and apparent diHusio coeffi- cient mapping in gynecological malignaneies:A review[J]. J Mag- netic Resonance Imaging,2011,33(5) : 1020-1027.
  • 8Takeuehi M, Matsuzaki K, Nishitani H. Diffusion-weighted mag- netic resonance imaging of ovarian tumors., differentiation of be- nign and malignant solid components of ovarian masses[J]. J Computer Assisted Tomography,2010,34(2) : 173-176.
  • 9Li W, Chu C, Cui Y, et al. Diffusion-weighted MRI: a useful tech- nique to discriminate benign versus malignant ovarian surface epi- thelial tumors with solid and cystic eomponents[J]. Abdominal Imaging,2012,37(5) :897-903.
  • 10A.C.Braithwaite,B.M.Dale,D.T.Boll,E.M.Merkle,范丽.腹部3.0T扩散加权成像表观扩散系数测定的短期和中期可重复性研究[J].国际医学放射学杂志,2009,32(2):188-188. 被引量:12

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  • 1申洋,周延,何为,朱汇慈,王丰,吴燕,周振宇,解立志,张子衡,刘剑羽.基于IVIM模型的扩散加权成像和动态增强核磁共振在卵巢肿瘤良恶性鉴别中的应用价值[J].临床放射学杂志,2016,35(3):410-414. 被引量:37
  • 2孟楠,闫瑞芳,岳巍,任继鹏,张健,韩东明.子宫内膜癌IVIM多模型参数与Ki-67表达水平的相关性分析[J].临床放射学杂志,2018,37(10):1680-1683. 被引量:10
  • 3张琪,余小多,林蒙,欧阳汉.体素内不相干运动扩散加权成像术前评估子宫内膜癌分级、肌层侵犯的价值[J].磁共振成像,2018,9(3):214-220. 被引量:16
  • 4顾亮亮,李海明,刘佳,冯峰.MR扩散加权成像对Ⅰ型与Ⅱ型子宫内膜癌的鉴别诊断价值[J].放射学实践,2019,34(3):302-305. 被引量:23
  • 5尹希,吴慧,高阳,乔鹏飞,牛广明.不同弥散模型对子宫内膜癌诊断及分级的价值[J].临床放射学杂志,2019,38(10):1904-1908. 被引量:9
  • 6贾明珠,胡琢瑛.结合临床参数及免疫组化标志物分析影响早期(Ⅰ期)子宫内膜癌复发的重要因素[J].临床医学研究与实践,2020,5(22):196-198. 被引量:6
  • 7何珍珍,周清清,余玉盛,东强,段绍峰,张宏.基于常规DWI和ZOOMit DWI技术对甲状腺图像质量的对比评估[J].中国医学计算机成像杂志,2020,26(4):324-328. 被引量:11
  • 8邢金丽,吴献华,冯峰.体素内不相干运动DWI对子宫内膜癌术前肿瘤分级评估[J].放射学实践,2020,35(10):1288-1292. 被引量:8
  • 9无.子宫内膜癌诊治规范(2018年版)[J].肿瘤综合治疗电子杂志,2020,6(4):25-35. 被引量:41
  • 10H.Agakishiev,M.M.Aggarwal,Z.Ahammed,A.V.Alakhverdyants,I.Alekseev,J.Alford,B.D.Anderson,C.D.Anson,D.Arkhipkin,G.S.Averichev,J.Balewski,D.R.Beavis,N.K.Behera,R.Bellwied,M.J.Betancourt,R.R.Betts,A.Bhasin,A.K.Bhat,H.Bichsel,J.Bieleik,J.Bielcikova,B.Biritz,L.C.Bland,W.Borowski,J.Bouchet,E.Braidot,A.V.Brandin,A.Bridgeman,S.G.Brovko,E.Bruna,S.Bueltmann,I.Bunzarov,T.P.Burton,X.Z.Cai,H.Caines,M.Calderon de la Barca Sanchez,D.Cebra,R.Cendejas,M.C.Cervantes,Z.Chajecki,P.Chaloupka,S.Chattopadhyay,H.F.Chen,J.H.Chen,J.Y.Chen,L.Chen,J.Cheng,M.Cherney,A.Chikanian,K.E.Choi,W.Christie,P.Chung,M.J.M.Codrington,R.Corliss,J.G.Cramer,H.J.Crawford,S.Dash,A.Davila Leyva,L.C.De Silvat,R.R.Debbe,T.G.Dedovich,A.A.Derevschikov,R.Derradi de Souza,L.Didenko,P.Djawotho,S.M.Dogra,X.Dong,J.L.Drachenberg,J.E.Draper,J.C.Dunlop,L.G Efimov,M.Elnim,J.Engelage,G Eppley,M.Estienne,L.Eun,O.Evdokimov,R.Fatemi,J.Fedorisin,A.Feng,R.G.Fersch,P.Filip,E.Finch,V.Fine,Y.Fisyak,C.A.Gagliardi,D.R.Gangadharan,A.Geromitsos,F.Geurts,P.Ghosh,Y.N.Gorbunov,A.Gordon,O.Grebenyuk,D.Grosnick,S.M.Guertin,A.Gupta,W.Guryn,B.Haag,O.Hajkova,A.Hamed,L-X.Han,J.W.Harris,J.P.Hays-Wehle,M.Heinz,S.Heppelmann,A.Hirsch,E.Hjort,G.W.Hoffmann,D.J.Hofiman,B.Huang,H.Z.Huang,T.J.Humanic,L.Huo,G.Igo,P.Jacobs,W.W.Jacobs,C.Jena,F.Jin,J.Joseph,E.G.Judd,S.Kabana,K.Kang,J.Kapitan,K.Kauder,H.Ke,D.Keane,A.Kechechyan,D.Kettler,D.P.Kikola,J.Kiryluk,A.Kisiel,V.Kizka,A.G.Knospe,D.D.Koetke,T.Kollegger,J.Konzer,I.Koralt,L.Koroleva,W.Korsch,L.Kotchenda,V.Kouchpil,P.Kravtsov,K.Krueger,M.Krus,L.Kumar,P.Kurnadi,M.A.C.Lamont,J.M.Landgraf,S.LaPointe,J.Lauret,A.Lebedev,R.Lednicky,J.H.Lee,W.Leight,M.J.LeVine,C.Lil,L.Li,N.Li,W.Li,X.Li,X.Li,Y.Li,Z.M.Li,M.A.Lisa,F.Liu,H.Liu,J.Liu,T.Ljubicic,W.J.Llope,R.S.Longacre,W.A.Love,Y.Lu,E.V.Lukashov,X.Luo,G.L.Ma,Y.G.Mai,D.P.Mahapatra,R.Majka,O.I.Mall,L.K.Mangotra,R.Manweiler,S.Margetis,C.Markert,H.Masui,H.S.Matis,Yu.A.Matulenko,D.MeDonald,T.S.McShane,A.Meschanin,R.Milner,N.G.Minaev,S.Mioduszewski,A.Mischke,M.K.Mitrovski,B.Mohanty,M.M.Mondal,B.Morozov,D.A.Morozov,M.G.Munhoz,M.Naglis,B.K.Nandi,T.K.Nayak,P.K.Netrakanti,L.V.Nogach,S.B.Nurushev,G.Odyniec,A.Ogawa,Oh,Ohlson,V.Okorokov,E.W.Oldag,D.Olsont,M.Pachr,B.S.Page,S.K.Pal,Y.Pandit,Y.Panebratsev,T.Pawlak,H.Pei,T.Peitzmann,C.Perkins,W.Peryt,S.C.Phatak,P.Pile,M.Planinic,M.A.Ploskon,J.Pluta,D.Plyku,N.Poljak,A.M.Poskanzer,B.V.K.S.Potukuchi,C.B.Powell,D.Prindle,N.K.Pruthi,A.M.Poskanzer,B.V.K.S.Potukuchi,B.Powell,D.Prindle,N.K.Pruthi,P.R.Pujahar,J.Putschke,H.Qiu,R.Raniwala,S.Raniwala,R.L.Ray,R.Redwine,R.Reed,H.G.Riter,J.B.Roberts,O.V.Rogachevskiy,J.L.Romero,A.Rose,L.Ruan,J.Rusnak,N.R.Sahoo,S.Sakai,I.Sakrejda,T.Sakuma,S.Salur,J.Sandweiss,E.Sangaline,A.Sarkar,J.Schambach,R.P.Scharenberg,A.M.Schmah,N.Schmitz,T.R.Schuster,J.Seele,J.Seger,I.Selyuzhenkov,P.Seyboth,E.Shahaliev,M.Shao,M.Sharma,S.S.Shi,Q.Y.Shou,E.P.Sichtermann,F.Simon,R.N.Singaraju,M.J.Skoby,N.Smirnov,H.M.Spinka,B.Srivastava,T.D.S.Stanislaus,D.Staszak,S.G.Steadman,J.R.Stevens,R.Stock,M.Strikhanov,B.Stringfellow,A.A.P.Suaide,M.C.Suarez,N.L.Subba,M.Sumbera,X.M.Sun,Y.Sun,Z.Sun,B.Surrow,D.N.Svirida,T.J.M.Symons,A.Szanto de Toledo,J.Takahashi,A.H.Tang,Z.Tang,L.H.Tarini,T.Tarnowsky,D.Thein,J.H.Thomas,J.Tian,A.R.Timmins,D.Tlusty,M.Tokarev,V.N.Tram,S.Trentalange,R.E.Tribble,Tribedy,O.D.Tsai,T.Ullrich,D.G.Underwood,G.Van Buren,G.van Nieuwenhuizen,J.A.Vanfossen,R.Varma,G.M.S.Vasconcelos,A.N.Vasiliev,F.Videbaek,Y.P.Viyogi,S.Vokal,M.Wadat,M.Walker,F.Wang,G.Wang,H.Wang,J.S.Wang,Q.Wang,X.L.Wang,Y.Wang,G.Webb,J.C.Webb,G.D.Westfall,C.Whitten,H.Wieman,S.W.Wissink,R.Witt,W.Witzke,Y.F.Wu,Xiao,W.Xie,H.Xu,N.Xu,Q.H.Xu,W.Xu,Y.Xu,Z.Xu,L.Xue,Y.Yang,P.Yepes,K.Yip,I-K.Yoo,M.Zawisza,H.Zbroszczyk,W.Zhan,J.B.Zhang,S.Zhang,W.M.Zhang,X.P.Zhang,Y.Zhang,Z.P.Zhang,J.Zhao,C.Zhong,W.Zhou,X.Zhu,Y.H.Zhu,R.Zoulkarneev,Y.Zoulkarneeva.Measurements of dihadron correlations relative to the event plane in Au+Au collisions at√^(S)NN=200 GeV[J].Chinese Physics C,2021,45(4):198-241. 被引量:351

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