中华放射学杂志
中華放射學雜誌
중화방사학잡지
Chinese Journal of Radiology
2009年
6期
575-578
,共4页
张晶%梁伟%李晓松%张薇%刘薇%张景秀%冯素臣%程晓光
張晶%樑偉%李曉鬆%張薇%劉薇%張景秀%馮素臣%程曉光
장정%량위%리효송%장미%류미%장경수%풍소신%정효광
骨肿瘤%肌肉肿瘤%磁共振成像
骨腫瘤%肌肉腫瘤%磁共振成像
골종류%기육종류%자공진성상
Bone neoplasm%Muscle neoplasm%Magnetic resonance imaging
目的 探讨动态增强MRI时间一信号强度曲线(TIC)上升段最大斜率值和曲线类型在骨骼肌肉系统良、恶性肿瘤鉴别中的作用.方法 采用多时相增强快速采集梯度同波序列,对93例骨骼肌肉系统肿瘤进行MR动态增强扫描,在斜率图上选取ROI,经Functool软件后处理,得到TIC,并将曲线分为Ⅰ、Ⅱ、Ⅲ型,计算曲线上升段最大斜率值.以病理结果为金标准,对TIC类型在良、恶性肿瘤中的分布差异和曲线的上升斜率值进行χ2检验或t检验.结果 49例恶性肿瘤中,37例为I型曲线,12例为Ⅱ型曲线;44例良性肿瘤中,26例为Ⅰ型曲线,7例为Ⅱ型曲线,11例为Ⅲ型曲线,曲线类型在良、恶性肿瘤中的分布差异具有统计学意义(χ2:14.008,P<0.01).良、恶性肿瘤曲线上升斜率值分别为6.80±3.35和6.80±2.71,差异无统计学意义(t=0.008,P>0.05).与形态学表现相结合,应用TIC类型对骨骼肌肉系统恶件肿瘤定性诊断的敏感度为100%,特异度为50%,阳性预测值为78%,阴性预测值为100%,准确度为82%.结论 TIC类型结合形态学表现,能够提高MRI对骨骼肌肉系统肿瘤良、恶性鉴别的能力.
目的 探討動態增彊MRI時間一信號彊度麯線(TIC)上升段最大斜率值和麯線類型在骨骼肌肉繫統良、噁性腫瘤鑒彆中的作用.方法 採用多時相增彊快速採集梯度同波序列,對93例骨骼肌肉繫統腫瘤進行MR動態增彊掃描,在斜率圖上選取ROI,經Functool軟件後處理,得到TIC,併將麯線分為Ⅰ、Ⅱ、Ⅲ型,計算麯線上升段最大斜率值.以病理結果為金標準,對TIC類型在良、噁性腫瘤中的分佈差異和麯線的上升斜率值進行χ2檢驗或t檢驗.結果 49例噁性腫瘤中,37例為I型麯線,12例為Ⅱ型麯線;44例良性腫瘤中,26例為Ⅰ型麯線,7例為Ⅱ型麯線,11例為Ⅲ型麯線,麯線類型在良、噁性腫瘤中的分佈差異具有統計學意義(χ2:14.008,P<0.01).良、噁性腫瘤麯線上升斜率值分彆為6.80±3.35和6.80±2.71,差異無統計學意義(t=0.008,P>0.05).與形態學錶現相結閤,應用TIC類型對骨骼肌肉繫統噁件腫瘤定性診斷的敏感度為100%,特異度為50%,暘性預測值為78%,陰性預測值為100%,準確度為82%.結論 TIC類型結閤形態學錶現,能夠提高MRI對骨骼肌肉繫統腫瘤良、噁性鑒彆的能力.
목적 탐토동태증강MRI시간일신호강도곡선(TIC)상승단최대사솔치화곡선류형재골격기육계통량、악성종류감별중적작용.방법 채용다시상증강쾌속채집제도동파서렬,대93례골격기육계통종류진행MR동태증강소묘,재사솔도상선취ROI,경Functool연건후처리,득도TIC,병장곡선분위Ⅰ、Ⅱ、Ⅲ형,계산곡선상승단최대사솔치.이병리결과위금표준,대TIC류형재량、악성종류중적분포차이화곡선적상승사솔치진행χ2검험혹t검험.결과 49례악성종류중,37례위I형곡선,12례위Ⅱ형곡선;44례량성종류중,26례위Ⅰ형곡선,7례위Ⅱ형곡선,11례위Ⅲ형곡선,곡선류형재량、악성종류중적분포차이구유통계학의의(χ2:14.008,P<0.01).량、악성종류곡선상승사솔치분별위6.80±3.35화6.80±2.71,차이무통계학의의(t=0.008,P>0.05).여형태학표현상결합,응용TIC류형대골격기육계통악건종류정성진단적민감도위100%,특이도위50%,양성예측치위78%,음성예측치위100%,준학도위82%.결론 TIC류형결합형태학표현,능구제고MRI대골격기육계통종류량、악성감별적능력.
Objective To investigate the value of time-intensity curve of dynamic contrast enhancement MR imaging in the discrimination of benign and malignancy in musculoskeletal tumors. Methods Ninety patients were examined with fast acquisition with muhiphase enhanced fast GRE series. The TIC of lesions were obtained using slope images in which pixel intensity reflected the slope value. The curves were classified according to their shapes as type Ⅰ , washout enhancement; type Ⅱ, plateau enhancement; type Ⅲ, gradual enhancement. Taking pathological diagnosis as gold standard, the power of the maximal enhancement slope and curve types in discriminating benign and malignant lesions was evaluated by appropriate statistic analysis. Results There were 49 malignant and 44 benign lesions. The distribution of curve types for malignant tumors was type Ⅰ 75.5% ( 37/49), type Ⅱ 24. 5% (12/49). While the numbers for benign tumors was type Ⅰ 59. 1% ( 26/44 ), type Ⅱ 15.9% ( 7/44 ) and type Ⅲ 25.0% ( 11/44 ), respectively. The patterns of curve types in malignant lesions were different from benign lesions significantly ( χ2 = 14. 008, P < 0. 01 ). The slope value in benign lesion was 6. 80 + 3. 35 and that in malignant lesion was 6. 80±2. 71. The difference was not statistically significant( t = 0. 008, P > 0. 05 ). Type Ⅰ and type Ⅱ (excluding lesions with typical benign morphology ) were suggestive of malignant tumors. Type Ⅲ was indicator of a benign lesion. The diagnostic indices for the shape of TIC criterion were: sensitivity 100%, specificity 50%, positive predictive value 78%, negative predictive value 100% and accuracy 82%, respectively. Conclusion Combined with the characteristic of morphology, the TIC improves the power of MR imaging in discriminating benign from malignant musculoskeletal tumors.