前列腺癌
基准标记
前列腺切除术
组织病理学
前列腺
医学
核医学
图像配准
磁共振成像
体内
离体
组织学
放射科
病理
癌症
计算机科学
人工智能
内科学
生物技术
图像(数学)
生物
作者
Samuele Ghezzo,Ilaria Neri,Paola Mapelli,Annarita Savi,Ana Maria Samanes Gajate,Giorgio Brembilla,Carolina Bezzi,Beatrice Maghini,Tommaso Villa,Alberto Briganti,Francesco Montorsi,Francesco De Cobelli,Massimo Freschi,Arturo Chiti,Maria Picchio,Paola Scifo
出处
期刊:Bioengineering
[Multidisciplinary Digital Publishing Institute]
日期:2023-08-11
卷期号:10 (8): 953-953
被引量:2
标识
DOI:10.3390/bioengineering10080953
摘要
This study proposed a new workflow for co-registering prostate PET images from a dual-tracer PET/MRI study with histopathological images of resected prostate specimens. The method aims to establish an accurate correspondence between PET/MRI findings and histology, facilitating a deeper understanding of PET tracer distribution and enabling advanced analyses like radiomics. To achieve this, images derived by three patients who underwent both [68Ga]Ga-PSMA and [68Ga]Ga-RM2 PET/MRI before radical prostatectomy were selected. After surgery, in the resected fresh specimens, fiducial markers visible on both histology and MR images were inserted. An ex vivo MRI of the prostate served as an intermediate step for co-registration between histological specimens and in vivo MRI examinations. The co-registration workflow involved five steps, ensuring alignment between histopathological images and PET/MRI data. The target registration error (TRE) was calculated to assess the precision of the co-registration. Furthermore, the DICE score was computed between the dominant intraprostatic tumor lesions delineated by the pathologist and the nuclear medicine physician. The TRE for the co-registration of histopathology and in vivo images was 1.59 mm, while the DICE score related to the site of increased intraprostatic uptake on [68Ga]Ga-PSMA and [68Ga]Ga-RM2 PET images was 0.54 and 0.75, respectively. This work shows an accurate co-registration method for histopathological and in vivo PET/MRI prostate examinations that allows the quantitative assessment of dual-tracer PET/MRI diagnostic accuracy at a millimetric scale. This approach may unveil radiotracer uptake mechanisms and identify new PET/MRI biomarkers, thus establishing the basis for precision medicine and future analyses, such as radiomics.
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