PROMISE CLIP project: A retrospective, multicenter study for prostate cancer that integrates clinical, imaging and pathology data

Jihwan Park; Mi Jung Rho; Yong Hyun Park; Chan Kwon Jung; Yosep Chong; Choung Soo Kim; Heounjeong Go; Seong Soo Jeon; Minyong Kang; Hak Jong Lee; Sung Il Hwang; Ji Youl Lee

doi:10.3390/app9152982

PROMISE CLIP project: A retrospective, multicenter study for prostate cancer that integrates clinical, imaging and pathology data

Jihwan Park, Mi Jung Rho, Yong Hyun Park, Chan Kwon Jung, Yosep Chong, Choung Soo Kim, Heounjeong Go, Seong Soo Jeon, Minyong Kang, Hak Jong Lee, Sung Il Hwang, Ji Youl Lee

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

There are many medical demands that still need to be resolved for prostate cancer (PCa), including better diagnosis and predictive medicine. For this to be accomplished, diverse medical data need to be integrated with the development of intelligent software (SW) based on various types of medical data. Various types of information technology have been used to address these medical demands of PCa. We initiated the PROstate Medical Intelligence System Enterprise-Clinical, Imaging, and Pathology (PROMISE CLIP) and a multicenter, big data study to develop PCa SW for patients with PCa and clinicians. We integrated the clinical data of 7257 patients, 610 patients' imaging data, and 39,000 cores of pathology digital scanning data from four tertiary hospitals in South Korea. We developed the PROMISE CLIP registry based on integrated clinical, imaging, and pathology data. Related intelligent SW has been developed for helping patients and clinicians decide on the best treatment option. The PROMISE CLIP study directs guidelines for intelligent SW development to solve medical demands for PCa. The PROMISE CLIP registry plays an important role in advancing PCa research and care.

Original language	English
Article number	2982
Journal	Applied Sciences (Switzerland)
Volume	9
Issue number	15
DOIs	https://doi.org/10.3390/app9152982
State	Published - 2019

Bibliographical note

Funding Information:
Thank you Soo Jeong Nam at department of pathology, Asan Medical Center for the contribution for building the pathology database of the system. Thank you all of each hospital members who contributed their effort for the project. This work was supported by the Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korean government (MSIT) (2018-2-00861, Intelligent SW Technology Development for Medical Data Analysis).This research was supported by the Bio & Medical Technology Development Program of the National Research Foundation (NRF) funded by the Korean government (MSIT) (NRF-2017M3A9B8069577).

Funding Information:
Funding: This work was supported by the Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korean government (MSIT) (2018-2-00861, Intelligent SW Technology Development for Medical Data Analysis).This research was supported by the Bio & Medical Technology Development Program of the National Research Foundation (NRF) funded by the Korean government (MSIT) (NRF-2017M3A9B8069577).

Publisher Copyright:
© 2019 by the authors.

Keywords

Artificial intelligence
Clinical data
Imaging data
Pathology data
Prostate cancer

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3390/app9152982

Cite this

@article{dd0732c67e824fceb256de9fe92ffd00,

title = "PROMISE CLIP project: A retrospective, multicenter study for prostate cancer that integrates clinical, imaging and pathology data",

abstract = "There are many medical demands that still need to be resolved for prostate cancer (PCa), including better diagnosis and predictive medicine. For this to be accomplished, diverse medical data need to be integrated with the development of intelligent software (SW) based on various types of medical data. Various types of information technology have been used to address these medical demands of PCa. We initiated the PROstate Medical Intelligence System Enterprise-Clinical, Imaging, and Pathology (PROMISE CLIP) and a multicenter, big data study to develop PCa SW for patients with PCa and clinicians. We integrated the clinical data of 7257 patients, 610 patients' imaging data, and 39,000 cores of pathology digital scanning data from four tertiary hospitals in South Korea. We developed the PROMISE CLIP registry based on integrated clinical, imaging, and pathology data. Related intelligent SW has been developed for helping patients and clinicians decide on the best treatment option. The PROMISE CLIP study directs guidelines for intelligent SW development to solve medical demands for PCa. The PROMISE CLIP registry plays an important role in advancing PCa research and care.",

keywords = "Artificial intelligence, Clinical data, Imaging data, Pathology data, Prostate cancer",

author = "Jihwan Park and Rho, {Mi Jung} and Park, {Yong Hyun} and Jung, {Chan Kwon} and Yosep Chong and Kim, {Choung Soo} and Heounjeong Go and Jeon, {Seong Soo} and Minyong Kang and Lee, {Hak Jong} and Hwang, {Sung Il} and Lee, {Ji Youl}",

note = "Funding Information: Thank you Soo Jeong Nam at department of pathology, Asan Medical Center for the contribution for building the pathology database of the system. Thank you all of each hospital members who contributed their effort for the project. This work was supported by the Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korean government (MSIT) (2018-2-00861, Intelligent SW Technology Development for Medical Data Analysis).This research was supported by the Bio & Medical Technology Development Program of the National Research Foundation (NRF) funded by the Korean government (MSIT) (NRF-2017M3A9B8069577). Funding Information: Funding: This work was supported by the Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korean government (MSIT) (2018-2-00861, Intelligent SW Technology Development for Medical Data Analysis).This research was supported by the Bio & Medical Technology Development Program of the National Research Foundation (NRF) funded by the Korean government (MSIT) (NRF-2017M3A9B8069577). Publisher Copyright: {\textcopyright} 2019 by the authors.",

year = "2019",

doi = "10.3390/app9152982",

language = "English",

volume = "9",

journal = "Applied Sciences (Switzerland)",

issn = "2076-3417",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "15",

}

TY - JOUR

T1 - PROMISE CLIP project

T2 - A retrospective, multicenter study for prostate cancer that integrates clinical, imaging and pathology data

AU - Park, Jihwan

AU - Rho, Mi Jung

AU - Park, Yong Hyun

AU - Jung, Chan Kwon

AU - Chong, Yosep

AU - Kim, Choung Soo

AU - Go, Heounjeong

AU - Jeon, Seong Soo

AU - Kang, Minyong

AU - Lee, Hak Jong

AU - Hwang, Sung Il

AU - Lee, Ji Youl

N1 - Funding Information: Thank you Soo Jeong Nam at department of pathology, Asan Medical Center for the contribution for building the pathology database of the system. Thank you all of each hospital members who contributed their effort for the project. This work was supported by the Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korean government (MSIT) (2018-2-00861, Intelligent SW Technology Development for Medical Data Analysis).This research was supported by the Bio & Medical Technology Development Program of the National Research Foundation (NRF) funded by the Korean government (MSIT) (NRF-2017M3A9B8069577). Funding Information: Funding: This work was supported by the Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korean government (MSIT) (2018-2-00861, Intelligent SW Technology Development for Medical Data Analysis).This research was supported by the Bio & Medical Technology Development Program of the National Research Foundation (NRF) funded by the Korean government (MSIT) (NRF-2017M3A9B8069577). Publisher Copyright: © 2019 by the authors.

PY - 2019

Y1 - 2019

N2 - There are many medical demands that still need to be resolved for prostate cancer (PCa), including better diagnosis and predictive medicine. For this to be accomplished, diverse medical data need to be integrated with the development of intelligent software (SW) based on various types of medical data. Various types of information technology have been used to address these medical demands of PCa. We initiated the PROstate Medical Intelligence System Enterprise-Clinical, Imaging, and Pathology (PROMISE CLIP) and a multicenter, big data study to develop PCa SW for patients with PCa and clinicians. We integrated the clinical data of 7257 patients, 610 patients' imaging data, and 39,000 cores of pathology digital scanning data from four tertiary hospitals in South Korea. We developed the PROMISE CLIP registry based on integrated clinical, imaging, and pathology data. Related intelligent SW has been developed for helping patients and clinicians decide on the best treatment option. The PROMISE CLIP study directs guidelines for intelligent SW development to solve medical demands for PCa. The PROMISE CLIP registry plays an important role in advancing PCa research and care.

AB - There are many medical demands that still need to be resolved for prostate cancer (PCa), including better diagnosis and predictive medicine. For this to be accomplished, diverse medical data need to be integrated with the development of intelligent software (SW) based on various types of medical data. Various types of information technology have been used to address these medical demands of PCa. We initiated the PROstate Medical Intelligence System Enterprise-Clinical, Imaging, and Pathology (PROMISE CLIP) and a multicenter, big data study to develop PCa SW for patients with PCa and clinicians. We integrated the clinical data of 7257 patients, 610 patients' imaging data, and 39,000 cores of pathology digital scanning data from four tertiary hospitals in South Korea. We developed the PROMISE CLIP registry based on integrated clinical, imaging, and pathology data. Related intelligent SW has been developed for helping patients and clinicians decide on the best treatment option. The PROMISE CLIP study directs guidelines for intelligent SW development to solve medical demands for PCa. The PROMISE CLIP registry plays an important role in advancing PCa research and care.

KW - Artificial intelligence

KW - Clinical data

KW - Imaging data

KW - Pathology data

KW - Prostate cancer

UR - http://www.scopus.com/inward/record.url?scp=85070562195&partnerID=8YFLogxK

U2 - 10.3390/app9152982

DO - 10.3390/app9152982

M3 - Article

AN - SCOPUS:85070562195

SN - 2076-3417

VL - 9

JO - Applied Sciences (Switzerland)

JF - Applied Sciences (Switzerland)

IS - 15

M1 - 2982

ER -

PROMISE CLIP project: A retrospective, multicenter study for prostate cancer that integrates clinical, imaging and pathology data

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this