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首页> 外文会议>Conference on digital pathology >Multiparametric MR imaging of prostate cancer foci: assessing the detectability and localizability of Gleason 7 peripheral zone cancers based on image contrasts
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Multiparametric MR imaging of prostate cancer foci: assessing the detectability and localizability of Gleason 7 peripheral zone cancers based on image contrasts

机译：前列腺癌灶的多参数MR成像：基于图像对比评估Gleason 7周围带癌的可检测性和定位性

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Purpose: Multiparametric magnetic resonance imaging (MPMRI) supports detection and staging of prostate cancer, but the image characteristics needed for tumor boundary delineation to support focal therapy have not been widely investigated. We quantified the detectability (image contrast between tumor and non-cancerous contralateral tissue) and the localizability (image contrast between tumor and non-cancerous neighboring tissue) of Gleason score 7 (GS7) peripheral zone (PZ) tumors on MPMRI using tumor contours mapped from histology using accurate 2D-3D registration. Methods: MPMRI [comprising T2-weighted (T2W), dynamic-contrast-enhanced (DCE), apparent diffusion coefficient (ADC) and contrast transfer coefficient images] and post-prostatectomy digitized histology images were acquired for 6 subjects. Histology contouring and grading (approved by a genitourinary pathologist) identified 7 GS7 PZ tumors. Contours were mapped to MPMRI images using semi-automated registration algorithms (combined target registration error: 2 mm). For each focus, three measurements of mean ± standard deviation of image intensity were taken on each image: tumor tissue (m_T + s_T), non-cancerous PZ tissue ＜ 5 mm from the tumor (m_N + s_N), and non-cancerous contralateral PZ tissue (m_C± s_C). Detectability [D = (m_T - m_C)(s_T~2+s_C~2)~(1/2)] and localizability [L = (m_T - m_N)/(s_T~2+s_N~2)~(1/2)] were quantified for each focus on each image. Results: T2W images showed the strongest detectability, although detectability ｜D｜ ≥ 1 was observed on either ADC or DCE images, or both, for all foci. Localizability on all modalities was variable; however, ADC images showed localizability ｜L｜ ≥ 1 for 3 foci. Conclusions: Delineation of GS7 PZ tumors on individual MPMRI images faces challenges; however, images may contain complementary information, suggesting a role for fusion of information across MPMRI images for delineation.
机译：目的：多参数磁共振成像（MPMRI）支持前列腺癌的检测和分期，但是肿瘤边界划定以支持局灶治疗所需的图像特征尚未得到广泛研究。我们使用映射的肿瘤轮廓量化了MPMRI上Gleason评分7（GS7）周边区（PZ）肿瘤的可检测性（肿瘤与非癌性对侧组织之间的图像对比）和可定位性（肿瘤与非癌性对侧组织之间的图像对比）使用准确的2D-3D配准从组织学中提取数据。方法：采集6位受试者的MPMRI [包括T2加权（T2W），动态对比度增强（DCE），表观扩散系数（ADC）和造影剂转移系数图像]和前列腺切除术后的数字化组织学图像。组织学轮廓和分级（经泌尿生殖系统病理学家批准）确定了7个GS7 PZ肿瘤。使用半自动配准算法（组合目标配准误差：2 mm）将轮廓映射到MPMRI图像。对于每个焦点，对每幅图像进行三项图像强度的平均值±标准差测量：肿瘤组织（m_T + s_T），距肿瘤小于5 mm的非癌性PZ组织（m_N + s_N）和非癌性对侧PZ组织（m_C±s_C）。可检测性[D =（m_T-m_C）（s_T〜2 + s_C〜2）〜（1/2）]和可定位性[L =（m_T-m_N）/（s_T〜2 + s_N〜2）〜（1/2 ）]对每个图像上的每个焦点进行了量化。结果：T2W图像显示出最强的可检测性，尽管在所有病灶的ADC或DCE图像或两者上都可检测到｜ D ｜≥1。所有模式的本地化程度都是可变的;然而，ADC图像显示了3个焦点的可定位性｜ L ｜≥1。结论：在单个MPMRI图像上描绘GS7 PZ肿瘤面临挑战。但是，图像可能包含补充信息，这暗示了跨MPMRI图像进行信息融合以描绘轮廓的作用。

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