中国血液流变学杂志
中國血液流變學雜誌
중국혈액류변학잡지
CHINESE JOURNAL OF HEMORHEOLOGY
2013年
4期
751-755
,共5页
杜红娣%朱枫%钱春红%沈海林%刘冬%孙羽
杜紅娣%硃楓%錢春紅%瀋海林%劉鼕%孫羽
두홍제%주풍%전춘홍%침해림%류동%손우
乳腺病变%磁共振成像%弥散加权成像%量化分析
乳腺病變%磁共振成像%瀰散加權成像%量化分析
유선병변%자공진성상%미산가권성상%양화분석
breast lesions%magnetic resonance imaging%diffusion weighted imaging%quantitative analysis
目的:评价磁共振弥散加权成像(Diffusion-weighted Imaging,DWI)量化分析在乳腺病变诊断中的价值。方法对经病理证实的72例乳腺疾病患者(85个病灶)以及10名健康自愿者行DWI,扩散敏感系数(b)值分别为0、500、1,000 s/mm2。分别测量40个正常乳腺,22个恶性病灶,50个良性病灶,13个炎性病灶在不同b值时的ADC值,比较分析各组ADC值;采用两种方法确定乳腺良恶性病变ADC诊断阈值,并分析比较两者在乳腺恶性病变诊断中的效能。结果①b=500 s/mm2时,恶性病变、炎性病变、良性病变、正常腺体的平均ADC值分别为(1.10±0.13)、(0.90±0.19)、(1.68±0.30)、(2.03±0.30)×10-3mm2/s;b=1,000 s/mm2时,恶性病变、炎性病变、良性病变、正常腺体的平均ADC值分别为(0.96±0.16)、(0.68±0.20)、(1.53±0.33)、(1.85±0.31)×10-3mm2/s。②取乳腺恶性病变平均ADC值的95%可信区间上限作为阈值时,b=500 s/mm2时ADC阈值为1.16×10-3mm2/s;b=1,000 s/mm2时ADC阈值为1.03×10-3mm2/s。采用受试者工作特征(ROC)曲线确定ADC阈值,b=500 s/mm2时ADC阈值为1.30×10-3mm2/s;b=1,000 s/mm2时ADC阈值为1.14×10-3mm2/s。结论DWI量化分析对乳腺良(不包括炎性病变)、恶性病变的诊断有较高的价值;采用ROC曲线确定的b=1,000 s/mm2时的ADC阈值对诊断乳腺恶性病变的准确性、敏感性、特异性均较高。
目的:評價磁共振瀰散加權成像(Diffusion-weighted Imaging,DWI)量化分析在乳腺病變診斷中的價值。方法對經病理證實的72例乳腺疾病患者(85箇病竈)以及10名健康自願者行DWI,擴散敏感繫數(b)值分彆為0、500、1,000 s/mm2。分彆測量40箇正常乳腺,22箇噁性病竈,50箇良性病竈,13箇炎性病竈在不同b值時的ADC值,比較分析各組ADC值;採用兩種方法確定乳腺良噁性病變ADC診斷閾值,併分析比較兩者在乳腺噁性病變診斷中的效能。結果①b=500 s/mm2時,噁性病變、炎性病變、良性病變、正常腺體的平均ADC值分彆為(1.10±0.13)、(0.90±0.19)、(1.68±0.30)、(2.03±0.30)×10-3mm2/s;b=1,000 s/mm2時,噁性病變、炎性病變、良性病變、正常腺體的平均ADC值分彆為(0.96±0.16)、(0.68±0.20)、(1.53±0.33)、(1.85±0.31)×10-3mm2/s。②取乳腺噁性病變平均ADC值的95%可信區間上限作為閾值時,b=500 s/mm2時ADC閾值為1.16×10-3mm2/s;b=1,000 s/mm2時ADC閾值為1.03×10-3mm2/s。採用受試者工作特徵(ROC)麯線確定ADC閾值,b=500 s/mm2時ADC閾值為1.30×10-3mm2/s;b=1,000 s/mm2時ADC閾值為1.14×10-3mm2/s。結論DWI量化分析對乳腺良(不包括炎性病變)、噁性病變的診斷有較高的價值;採用ROC麯線確定的b=1,000 s/mm2時的ADC閾值對診斷乳腺噁性病變的準確性、敏感性、特異性均較高。
목적:평개자공진미산가권성상(Diffusion-weighted Imaging,DWI)양화분석재유선병변진단중적개치。방법대경병리증실적72례유선질병환자(85개병조)이급10명건강자원자행DWI,확산민감계수(b)치분별위0、500、1,000 s/mm2。분별측량40개정상유선,22개악성병조,50개량성병조,13개염성병조재불동b치시적ADC치,비교분석각조ADC치;채용량충방법학정유선량악성병변ADC진단역치,병분석비교량자재유선악성병변진단중적효능。결과①b=500 s/mm2시,악성병변、염성병변、량성병변、정상선체적평균ADC치분별위(1.10±0.13)、(0.90±0.19)、(1.68±0.30)、(2.03±0.30)×10-3mm2/s;b=1,000 s/mm2시,악성병변、염성병변、량성병변、정상선체적평균ADC치분별위(0.96±0.16)、(0.68±0.20)、(1.53±0.33)、(1.85±0.31)×10-3mm2/s。②취유선악성병변평균ADC치적95%가신구간상한작위역치시,b=500 s/mm2시ADC역치위1.16×10-3mm2/s;b=1,000 s/mm2시ADC역치위1.03×10-3mm2/s。채용수시자공작특정(ROC)곡선학정ADC역치,b=500 s/mm2시ADC역치위1.30×10-3mm2/s;b=1,000 s/mm2시ADC역치위1.14×10-3mm2/s。결론DWI양화분석대유선량(불포괄염성병변)、악성병변적진단유교고적개치;채용ROC곡선학정적b=1,000 s/mm2시적ADC역치대진단유선악성병변적준학성、민감성、특이성균교고。
Objective To evaluate the value of quantitative analysis of diffusion-weighted MRI in the diagno-sis of breast lesions. Methods 72 cases with pathologically conifrmed breast diseases (85 lesions) and 10 healthy volunteers underwent DWI. The diffusion-sensitive factor (b) values were 0, 500, 1,000 s/mm2. The ADC values of 40 normal breasts, 22 malignant lesions, 50 benign lesions and 13 inlfammatory lesions at different b values were measured and analyzed comparatively. Two methods were used to determine the ADC diagnosis threshold value of benign and malignant breast lesions, and the efifcacy of the two methods in the diagnosis of malignant breast lesions were analyzed comparatively. Results ①When b value was 500 s/mm2, the mean ADC values of the malignant lesions, inlfammatory lesions, benign lesions and normal glands were as follows, respectively, (1.10±0.13), (0.90±0.19), (1.68±0.30), (2.03±0.30) ×10-3mm2/s;When b value was 1,000 s/mm2, the mean ADC values of the malignant lesions, inlfammatory lesions, benign lesions and normal glands were as follows, respec-tively, (0.96±0.16), (0.68±0.20), (1.53±0.33), (1.85±0.31) ×10-3mm2/s.②If the average ADC value of breast ma-lignant lesions in the upper 95%conifdence interval was selected as the threshold value, when b value was 500 s/mm2, the ADC threshold was 1.16 ×10-3mm2/s;when b value was 1,000 s/mm2, the ADC threshold was 1.03 ×10-3mm2/s. If the ADC threshold was drawn by ROC curve, when b value was 500 s/mm2, the ADC threshold was 1.30 ×10-3mm2/s;when b value was 1,000 s/mm2, the ADC threshold was 1.14 ×10-3mm2/s. Conclusion Quantitative analysis of diffusion-weighted imaging is helpful in the diagnosis of breast benign lesions (inlfammatory lesions were not in-cluded) and malignant lesions. The ADC threshold determined by ROC curve has better accuracy, sensitivity and speciifcity in the diagnosis of breast malignant lesions when b value is 1,000 s/mm2.