Registration of histopathology to magnetic resonance imaging of prostate cancer
Background and purpose: The diagnostic accuracy of new imaging techniques requires validation, preferably by histopathological verification. The aim of this study was to develop and present a registration procedure between histopathology and in-vivo magnetic resonance imaging (MRI) of the prostate,...
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doaj-70e8fb516ffb4e17b6a8f871987cd4c12021-06-17T04:48:00ZengElsevierPhysics and Imaging in Radiation Oncology2405-63162021-04-01181925Registration of histopathology to magnetic resonance imaging of prostate cancerKristina Sandgren0Erik Nilsson1Angsana Keeratijarut Lindberg2Sara Strandberg3Lennart Blomqvist4Anders Bergh5Bengt Friedrich6Jan Axelsson7Margareta Ögren8Mattias Ögren9Anders Widmark10Camilla Thellenberg Karlsson11Karin Söderkvist12Katrine Riklund13Joakim Jonsson14Tufve Nyholm15Department of Radiation Sciences, Radiophysics, Umea University, Sweden; Corresponding author.Department of Radiation Sciences, Radiophysics, Umea University, SwedenDepartment of Radiation Sciences, Radiophysics, Umea University, SwedenDepartment of Radiation Sciences, Diagnostic Radiology, Umea University, SwedenDepartment of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, SwedenDepartment of Medical Biosciences, Pathology, Umea University, SwedenDepartment of Surgical and Perioperative Sciences, Urology and Andrology, Umea University, SwedenDepartment of Radiation Sciences, Radiophysics, Umea University, SwedenDepartment of Radiation Sciences, Diagnostic Radiology, Umea University, SwedenDepartment of Radiation Sciences, Diagnostic Radiology, Umea University, SwedenDepartment of Radiation Sciences, Oncology, Umea University, SwedenDepartment of Radiation Sciences, Oncology, Umea University, SwedenDepartment of Radiation Sciences, Oncology, Umea University, SwedenDepartment of Radiation Sciences, Diagnostic Radiology, Umea University, SwedenDepartment of Radiation Sciences, Radiophysics, Umea University, SwedenDepartment of Radiation Sciences, Radiophysics, Umea University, SwedenBackground and purpose: The diagnostic accuracy of new imaging techniques requires validation, preferably by histopathological verification. The aim of this study was to develop and present a registration procedure between histopathology and in-vivo magnetic resonance imaging (MRI) of the prostate, to estimate its uncertainty and to evaluate the benefit of adding a contour-correcting registration. Materials and methods: For twenty-five prostate cancer patients, planned for radical prostatectomy, a 3D-printed prostate mold based on in-vivo MRI was created and an ex-vivo MRI of the specimen, placed inside the mold, was performed. Each histopathology slice was registered to its corresponding ex-vivo MRI slice using a 2D-affine registration. The ex-vivo MRI was rigidly registered to the in-vivo MRI and the resulting transform was applied to the histopathology stack. A 2D deformable registration was used to correct for specimen distortion concerning the specimen’s fit inside the mold. We estimated the spatial uncertainty by comparing positions of landmarks in the in-vivo MRI and the corresponding registered histopathology stack. Results: Eighty-four landmarks were identified, located in the urethra (62%), prostatic cysts (33%), and the ejaculatory ducts (5%). The median number of landmarks was 3 per patient. We showed a median in-plane error of 1.8 mm before and 1.7 mm after the contour-correcting deformable registration. In patients with extraprostatic margins, the median in-plane error improved from 2.1 mm to 1.8 mm after the contour-correcting deformable registration. Conclusions: Our registration procedure accurately registers histopathology to in-vivo MRI, with low uncertainty. The contour-correcting registration was beneficial in patients with extraprostatic surgical margins.http://www.sciencedirect.com/science/article/pii/S240563162100018XPET/MRIProstate cancerImage registrationHistopathology correlation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kristina Sandgren Erik Nilsson Angsana Keeratijarut Lindberg Sara Strandberg Lennart Blomqvist Anders Bergh Bengt Friedrich Jan Axelsson Margareta Ögren Mattias Ögren Anders Widmark Camilla Thellenberg Karlsson Karin Söderkvist Katrine Riklund Joakim Jonsson Tufve Nyholm |
spellingShingle |
Kristina Sandgren Erik Nilsson Angsana Keeratijarut Lindberg Sara Strandberg Lennart Blomqvist Anders Bergh Bengt Friedrich Jan Axelsson Margareta Ögren Mattias Ögren Anders Widmark Camilla Thellenberg Karlsson Karin Söderkvist Katrine Riklund Joakim Jonsson Tufve Nyholm Registration of histopathology to magnetic resonance imaging of prostate cancer Physics and Imaging in Radiation Oncology PET/MRI Prostate cancer Image registration Histopathology correlation |
author_facet |
Kristina Sandgren Erik Nilsson Angsana Keeratijarut Lindberg Sara Strandberg Lennart Blomqvist Anders Bergh Bengt Friedrich Jan Axelsson Margareta Ögren Mattias Ögren Anders Widmark Camilla Thellenberg Karlsson Karin Söderkvist Katrine Riklund Joakim Jonsson Tufve Nyholm |
author_sort |
Kristina Sandgren |
title |
Registration of histopathology to magnetic resonance imaging of prostate cancer |
title_short |
Registration of histopathology to magnetic resonance imaging of prostate cancer |
title_full |
Registration of histopathology to magnetic resonance imaging of prostate cancer |
title_fullStr |
Registration of histopathology to magnetic resonance imaging of prostate cancer |
title_full_unstemmed |
Registration of histopathology to magnetic resonance imaging of prostate cancer |
title_sort |
registration of histopathology to magnetic resonance imaging of prostate cancer |
publisher |
Elsevier |
series |
Physics and Imaging in Radiation Oncology |
issn |
2405-6316 |
publishDate |
2021-04-01 |
description |
Background and purpose: The diagnostic accuracy of new imaging techniques requires validation, preferably by histopathological verification. The aim of this study was to develop and present a registration procedure between histopathology and in-vivo magnetic resonance imaging (MRI) of the prostate, to estimate its uncertainty and to evaluate the benefit of adding a contour-correcting registration. Materials and methods: For twenty-five prostate cancer patients, planned for radical prostatectomy, a 3D-printed prostate mold based on in-vivo MRI was created and an ex-vivo MRI of the specimen, placed inside the mold, was performed. Each histopathology slice was registered to its corresponding ex-vivo MRI slice using a 2D-affine registration. The ex-vivo MRI was rigidly registered to the in-vivo MRI and the resulting transform was applied to the histopathology stack. A 2D deformable registration was used to correct for specimen distortion concerning the specimen’s fit inside the mold. We estimated the spatial uncertainty by comparing positions of landmarks in the in-vivo MRI and the corresponding registered histopathology stack. Results: Eighty-four landmarks were identified, located in the urethra (62%), prostatic cysts (33%), and the ejaculatory ducts (5%). The median number of landmarks was 3 per patient. We showed a median in-plane error of 1.8 mm before and 1.7 mm after the contour-correcting deformable registration. In patients with extraprostatic margins, the median in-plane error improved from 2.1 mm to 1.8 mm after the contour-correcting deformable registration. Conclusions: Our registration procedure accurately registers histopathology to in-vivo MRI, with low uncertainty. The contour-correcting registration was beneficial in patients with extraprostatic surgical margins. |
topic |
PET/MRI Prostate cancer Image registration Histopathology correlation |
url |
http://www.sciencedirect.com/science/article/pii/S240563162100018X |
work_keys_str_mv |
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