中华放射学杂志
中華放射學雜誌
중화방사학잡지
Chinese Journal of Radiology
2010年
11期
1157-1160
,共4页
徐岩%马大庆%贺文%马新发
徐巖%馬大慶%賀文%馬新髮
서암%마대경%하문%마신발
肺肿瘤%诊断,计算机辅助%放射摄影术
肺腫瘤%診斷,計算機輔助%放射攝影術
폐종류%진단,계산궤보조%방사섭영술
Lung neoplasms%Diagnosis,computer-assisted%Radiography
目的 评价计算机辅助检测(CAD)肺结节系统在数字化X线胸片上肺癌筛查中的应用价值.方法 由1名放射科医师和CAD肺结节检测系统独立阅读100例连续的数字摄影(DR)X线胸片,CAD系统可以检出最长直径在5～15 mm的肺结节.由2名放射科专家(有15年胸部影像诊断经验)进行回顾性阅读,参照相应的CT图像,两人意见达成一致后标记真结节的个数和位置并保存标记结果,将标记结果作为金标准来比较放射科医师和CAD系统的肺结节检测敏感性和假阳性率.结果 放射科医师共检测到95个结节,CAD系统共检测到304个结节.在回顾性检查中2名放射科专家共标记134个真结节,其中放射科医师检测到82个(61.2%),CAD检测到105个(78.4%),CAD系统检测到而被放射科医师漏诊的结节35个,放射科医师检测到而CAD系统漏诊的结节10个.放射科医师应用CAD系统后检测到112个真结节,检测率提高到83.6%.放射科专家意见一致后认为CAD系统检出199个假阳性结节,平均每张胸片约2.0个.结论 在肺癌筛查中放射科医师和CAD系统必须联合应用才可以识别X线胸片中所有的结节.
目的 評價計算機輔助檢測(CAD)肺結節繫統在數字化X線胸片上肺癌篩查中的應用價值.方法 由1名放射科醫師和CAD肺結節檢測繫統獨立閱讀100例連續的數字攝影(DR)X線胸片,CAD繫統可以檢齣最長直徑在5～15 mm的肺結節.由2名放射科專傢(有15年胸部影像診斷經驗)進行迴顧性閱讀,參照相應的CT圖像,兩人意見達成一緻後標記真結節的箇數和位置併保存標記結果,將標記結果作為金標準來比較放射科醫師和CAD繫統的肺結節檢測敏感性和假暘性率.結果 放射科醫師共檢測到95箇結節,CAD繫統共檢測到304箇結節.在迴顧性檢查中2名放射科專傢共標記134箇真結節,其中放射科醫師檢測到82箇(61.2%),CAD檢測到105箇(78.4%),CAD繫統檢測到而被放射科醫師漏診的結節35箇,放射科醫師檢測到而CAD繫統漏診的結節10箇.放射科醫師應用CAD繫統後檢測到112箇真結節,檢測率提高到83.6%.放射科專傢意見一緻後認為CAD繫統檢齣199箇假暘性結節,平均每張胸片約2.0箇.結論 在肺癌篩查中放射科醫師和CAD繫統必鬚聯閤應用纔可以識彆X線胸片中所有的結節.
목적 평개계산궤보조검측(CAD)폐결절계통재수자화X선흉편상폐암사사중적응용개치.방법 유1명방사과의사화CAD폐결절검측계통독립열독100례련속적수자섭영(DR)X선흉편,CAD계통가이검출최장직경재5～15 mm적폐결절.유2명방사과전가(유15년흉부영상진단경험)진행회고성열독,삼조상응적CT도상,량인의견체성일치후표기진결절적개수화위치병보존표기결과,장표기결과작위금표준래비교방사과의사화CAD계통적폐결절검측민감성화가양성솔.결과 방사과의사공검측도95개결절,CAD계통공검측도304개결절.재회고성검사중2명방사과전가공표기134개진결절,기중방사과의사검측도82개(61.2%),CAD검측도105개(78.4%),CAD계통검측도이피방사과의사루진적결절35개,방사과의사검측도이CAD계통루진적결절10개.방사과의사응용CAD계통후검측도112개진결절,검측솔제고도83.6%.방사과전가의견일치후인위CAD계통검출199개가양성결절,평균매장흉편약2.0개.결론 재폐암사사중방사과의사화CAD계통필수연합응용재가이식별X선흉편중소유적결절.
Objective To evaluate the value of computer-aided detection (CAD) system for pulmonary nodule detection using digital chest radiography in lung cancer screening. Methods One hundred consecutive digital chest radiographs from 6280 outpatients for lung cancer screening were independently reviewed by a thoracic radiologist and a computer-aided pulmonary nodule detection system.The radiographs were also reviewed by two experienced thoracic radiologists and the true nodules confirmed by two radiologists with reference to the CT images were marked and stored as a gold standard in the CAD system. The sensitivity and false positive of the radiologist and the CAD system for the detection of nodules on digital chest radiographs were compared. Results Ninety-five and 304 nodules were identified by radiologist and the CAD system, respectively. Of 134 nodules marked as true nodules by experienced radiologists, 82 (61.2%) and 105 (78. 4% ) nodules were identified by the radiologist and the CAD,respectively. The radiologist missed 35 true nodules which were only detected by CAD. The CAD system missed 10 true nodules which were only detected by radiologist. One hundred and twelve (83.6%) nodules were identified by radiologist with the CAD system. One hundred and ninety-nine nodules identified by CAD were false-positive with a rate of 2. 0 ( 199/100 ) per case. Conclusion Combining review of digital radiographs by radiologist with CAD system can improve the detection of pulmonary nodules in lung cancer screening.
