NDLI: Improving workflow in prostate MRI: AI-based decision-making on biparametric or multiparametric MRI

Content Provider	Springer Nature : SpringerOpen
Author	Hötker, Andreas M. Da Mutten, Raffaele Tiessen, Anja Konukoglu, Ender Donati, Olivio F.
Abstract	To develop and validate an artificial intelligence algorithm to decide on the necessity of dynamic contrast-enhanced sequences (DCE) in prostate MRI. This study was approved by the institutional review board and requirement for study-specific informed consent was waived. A convolutional neural network (CNN) was developed on 300 prostate MRI examinations. Consensus of two expert readers on the necessity of DCE acted as reference standard. The CNN was validated in a separate cohort of 100 prostate MRI examinations from the same vendor and 31 examinations from a different vendor. Sensitivity/specificity were calculated using ROC curve analysis and results were compared to decisions made by a radiology technician. The CNN reached a sensitivity of 94.4% and specificity of 68.8% (AUC: 0.88) for the necessity of DCE, correctly assigning 44%/34% of patients to a biparametric/multiparametric protocol. In 2% of all patients, the CNN incorrectly decided on omitting DCE. With a technician reaching a sensitivity of 63.9% and specificity of 89.1%, the use of the CNN would allow for an increase in sensitivity of 30.5%. The CNN achieved an AUC of 0.73 in a set of examinations from a different vendor. The CNN would have correctly assigned 78% of patients to a biparametric or multiparametric protocol, with only 2% of all patients requiring re-examination to add DCE sequences. Integrating this CNN in clinical routine could render the requirement for on-table monitoring obsolete by performing contrast-enhanced MRI only when needed.
Related Links	https://insightsimaging.springeropen.com/counter/pdf/10.1186/s13244-021-01058-7
Ending Page	7
Page Count	7
Starting Page	1
ISSN	18694101
DOI	10.1186/s13244-021-01058-7
Journal	Insights into Imaging
Issue Number	1
Volume Number	12
Language	English
Publisher	SpringerOpen
Publisher Date	2021-08-09
Access Restriction	Open
Subject Keyword	Multiparametric MRI Prostate cancer Artificial Intelligence
Content Type	Text
Subject	Radiology, Nuclear Medicine and Imaging
Aim	Insights into Imaging is a peer-reviewed, online gold open access journal published under the brand SpringerOpen. Owned by the European Society of Radiology (ESR), Insights into Imaging accepts original articles, educational and critical review articles as well as position and recommendation papers from leading societies and institutions. Through critical thinking and re-thinking, the authors should provide an insight into how radiology is currently practised and analyse whether it needs to be re-shaped. Insights into Imaging is the official journal of the following organisations: European Society of Cardiovascular Radiology (ESCR) European Society of Gastrointestinal and Abdominal Radiology (ESGAR) European Society of Head and Neck Radiology (ESHNR) European Society of Neuroradiology (ESNR) European Society of Oncologic Imaging (ESOI) European Society of Musculoskeletal Radiology (ESSR) European Society of Thoracic Imaging (ESTI) European Society of Urogenital Radiology (ESUR) European Society of Breast Imaging (EUSOBI) European Society of Medical Imaging Informatics (EuSoMII)
Journal Impact Factor	4.5/2024
5-Year Journal Impact Factor	5.3/2024

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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