Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 Tesla endorectal, in vivo T2-weighted MR imagery.
Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 Tesla endorectal, in vivo T2-weighted MR imagery.
复制标题
DOI：
10.1002/jmri.23618
复制
发表时间：
2012-07
影响因子：
4.4
通讯作者：
Madabhushi, Anant
中科院分区：
文献类型：
--
作者：
Viswanath, Satish E.;Bloch, Nicholas B.;Chappelow, Jonathan C.;Toth, Robert;Rofsky, Neil M.;Genega, Elizabeth M.;Lenkinski, Robert E.;Madabhushi, Anant
关键词：
识别和评价分别发生在前列腺中央腺体（CG）和外周区（PZ）内的肿瘤的纹理定量成像特征（QIS），如在体内3 T直肠内T2加权（T2w）磁共振成像（MRI）上所见。本研究使用了22个术前前列腺MRI数据集（16个PZ，6个CG），这些数据集是从确诊为前列腺癌（CaP）并计划进行根治性前列腺切除术（RP）的男性中获得的。在T2w MRI上自动描绘前列腺感兴趣区域（ROI），然后针对基于强度的采集伪影进行校正。专家病理学家手动描绘离体切片和染色RP标本上的主要肿瘤区域，并将每项研究确定为CG或PZ CaP。采用非线性配准方案在空间上对齐，然后将CaP范围从离体RP切片映射到相应的MRI切片上。然后从所有T2w MRI数据集中提取110个纹理特征。然后应用信息论特征选择程序来识别分别包括CG和PZ CaP特异性的T2w MRI纹理特征的QIS。CG和PZ CaP的QIS通过二次判别分析（QDA）在每个体素的基础上针对T2w MRI上CaP的真实情况进行评价，从相应的组织学映射。在25次随机3倍交叉验证运行中，QDA分类器得出CG CaP研究的受试者操作特征曲线下面积为0.86，PZ CaP研究的受试者操作特征曲线下面积为0.73。相比之下，当（a）使用所有110个纹理特征（没有应用特征选择）以及（B）随机选择的纹理特征组合时，QDA分类器的准确性显著较低。CG和PZ前列腺癌在T2w直肠内体内MRI上具有显著不同的纹理定量成像特征。
To identify and evaluate textural quantitative imaging signatures (QISes) for tumors occurring within the central gland (CG) and peripheral zone (PZ) of the prostate, respectively, as seen on in vivo 3 Tesla endorectal T2-weighted (T2w) Magnetic Resonance Imaging (MRI). This study utilized 22 pre-operative prostate MRI datasets (16 PZ, 6 CG) acquired from men with confirmed prostate cancer (CaP) and scheduled for radical prostatectomy (RP). The prostate region-of-interest (ROI) was automatically delineated on T2w MRI, following which it was corrected for intensity-based acquisition artifacts. An expert pathologist manually delineated the dominant tumor regions on ex vivo sectioned and stained RP specimens as well as identified each of the studies as either a CG or PZ CaP. A non-linear registration scheme was employed to spatially align and then map CaP extent from the ex vivo RP sections onto the corresponding MRI slices. 110 texture features were then extracted on a per-voxel basis from all T2w MRI datasets. An information theoretic feature selection procedure was then applied to identify QISes comprising T2w MRI textural features specific to CG and PZ CaP, respectively. The QISes for CG and PZ CaP were evaluated via Quadratic Discriminant Analysis (QDA) on a per-voxel basis against the ground truth for CaP on T2w MRI, mapped from corresponding histology. The QDA classifier yielded an area under the Receiver Operating characteristic curve of 0.86 for the CG CaP studies, and 0.73 for the PZ CaP studies over 25 runs of randomized 3-fold cross-validation. By comparison, the accuracy of the QDA classifier was significantly lower when (a) using all 110 texture features (with no feature selection applied), as well as (b) a randomly selected combination of texture features. CG and PZ prostate cancers have significantly differing textural quantitative imaging signatures on T2w endorectal in vivo MRI.
登录
查看更多内容
影响因子：
19.7
作者：
Bulman, Julie C.;Toth, Robert;Rofsky, Neil M.
通讯作者：
Rofsky, Neil M.
影响因子：
19.7
作者：
Oto, Aytekin;Kayhan, Arda;Stadler, Walter M.
通讯作者：
Stadler, Walter M.
影响因子：
10.6
作者：
Madabhushi, A;Feldman, MD;Chute, D
通讯作者：
Chute, D
影响因子：
19.7
作者：
Akin, Oguz;Sala, Evis;Hricak, Hedvig
通讯作者：
Hricak, Hedvig
影响因子：
5.9
作者：
Engelbrecht, MR;Jager, GJ;Barentsz, JO
通讯作者：
Barentsz, JO