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迈向磁共振成像前列腺癌轮廓勾画指南:通过精确组织学融合实现主要病灶大体和临床靶区覆盖

Toward Prostate Cancer Contouring Guidelines on Magnetic Resonance Imaging: Dominant Lesion Gross and Clinical Target Volume Coverage Via Accurate Histology Fusion.

作者信息

Gibson Eli, Bauman Glenn S, Romagnoli Cesare, Cool Derek W, Bastian-Jordan Matthew, Kassam Zahra, Gaed Mena, Moussa Madeleine, Gómez José A, Pautler Stephen E, Chin Joseph L, Crukley Cathie, Haider Masoom A, Fenster Aaron, Ward Aaron D

机构信息

Robarts Research Institute, University of Western Ontario, London, Ontario, Canada; Biomedical Engineering, University of Western Ontario, London, Ontario, Canada; Centre for Medical Image Computing, University College London, London, UK; Department of Radiology, Radboud University Medical Centre, Nijmegen, Netherlands.

Lawson Health Research Institute, London, Ontario, Canada; Department of Oncology, University of Western Ontario, London, Ontario, Canada.

出版信息

Int J Radiat Oncol Biol Phys. 2016 Sep 1;96(1):188-96. doi: 10.1016/j.ijrobp.2016.04.018. Epub 2016 Apr 21.

Abstract

PURPOSE

Defining prostate cancer (PCa) lesion clinical target volumes (CTVs) for multiparametric magnetic resonance imaging (mpMRI) could support focal boosting or treatment to improve outcomes or lower morbidity, necessitating appropriate CTV margins for mpMRI-defined gross tumor volumes (GTVs). This study aimed to identify CTV margins yielding 95% coverage of PCa tumors for prospective cases with high likelihood.

METHODS AND MATERIALS

Twenty-five men with biopsy-confirmed clinical stage T1 or T2 PCa underwent pre-prostatectomy mpMRI, yielding T2-weighted, dynamic contrast-enhanced, and apparent diffusion coefficient images. Digitized whole-mount histology was contoured and registered to mpMRI scans (error ≤2 mm). Four observers contoured lesion GTVs on each mpMRI scan. CTVs were defined by isotropic and anisotropic expansion from these GTVs and from multiparametric (unioned) GTVs from 2 to 3 scans. Histologic coverage (proportions of tumor area on co-registered histology inside the CTV, measured for Gleason scores [GSs] ≥6 and ≥7) and prostate sparing (proportions of prostate volume outside the CTV) were measured. Nonparametric histologic-coverage prediction intervals defined minimal margins yielding 95% coverage for prospective cases with 78% to 92% likelihood.

RESULTS

On analysis of 72 true-positive tumor detections, 95% coverage margins were 9 to 11 mm (GS ≥ 6) and 8 to 10 mm (GS ≥ 7) for single-sequence GTVs and were 8 mm (GS ≥ 6) and 6 mm (GS ≥ 7) for 3-sequence GTVs, yielding CTVs that spared 47% to 81% of prostate tissue for the majority of tumors. Inclusion of T2-weighted contours increased sparing for multiparametric CTVs with 95% coverage margins for GS ≥6, and inclusion of dynamic contrast-enhanced contours increased sparing for GS ≥7. Anisotropic 95% coverage margins increased the sparing proportions to 71% to 86%.

CONCLUSIONS

Multiparametric magnetic resonance imaging-defined GTVs expanded by appropriate margins may support focal boosting or treatment of PCa; however, these margins, accounting for interobserver and intertumoral variability, may preclude highly conformal CTVs. Multiparametric GTVs and anisotropic margins may reduce the required margins and improve prostate sparing.

摘要

目的

定义多参数磁共振成像(mpMRI)下前列腺癌(PCa)病变的临床靶体积(CTV),有助于聚焦增强或治疗,以改善治疗效果或降低发病率,因此需要为mpMRI定义的大体肿瘤体积(GTV)确定合适的CTV边界。本研究旨在确定在高可能性的前瞻性病例中,能实现95%前列腺癌肿瘤覆盖的CTV边界。

方法与材料

25名经活检确诊为临床T1或T2期PCa的男性患者在前列腺切除术前接受了mpMRI检查,获得了T2加权、动态对比增强和表观扩散系数图像。将数字化的全层组织病理学轮廓进行勾画并与mpMRI扫描图像配准(误差≤2毫米)。四名观察者在每次mpMRI扫描上勾画病变GTV。CTV通过从这些GTV以及2至3次扫描的多参数(联合)GTV进行各向同性和各向异性扩展来定义。测量组织学覆盖情况(在配准的组织病理学上,CTV内肿瘤区域的比例,针对Gleason评分[GS]≥6和≥7进行测量)以及前列腺保留情况(CTV外前列腺体积的比例)。非参数组织学覆盖预测区间确定了在78%至92%可能性的前瞻性病例中实现95%覆盖所需的最小边界。

结果

在对72个真阳性肿瘤检测结果的分析中,单序列GTV的95%覆盖边界对于GS≥6为9至11毫米,对于GS≥7为8至10毫米;3序列GTV的95%覆盖边界对于GS≥6为8毫米,对于GS≥7为6毫米,这使得大多数肿瘤的CTV能保留47%至81%的前列腺组织。纳入T2加权轮廓增加了GS≥6时多参数CTV的保留率,纳入动态对比增强轮廓增加了GS≥7时的保留率。各向异性95%覆盖边界使保留比例提高到71%至86%。

结论

通过适当边界扩展的多参数磁共振成像定义的GTV可能支持PCa的聚焦增强或治疗;然而,考虑到观察者间和肿瘤间的变异性,这些边界可能无法实现高度适形的CTV。多参数GTV和各向异性边界可能会减少所需边界并改善前列腺保留情况。

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