Purpose: To investigate and explain observed features of the placental DWI signal in healthy and compromised pregnancies using a mathematical model of maternal blood flow. Methods: Thirteen healthy and nine compromised third trimester pregnancies underwent pulse gradient spin echo DWI MRI, with the results compared to MRI data simulated from a 2D mathematical model of maternal blood flow through the placenta. Both sets of data were fitted to an intravoxel incoherent motion (IVIM) model, and a rebound model (defined within text), which described voxels that did not decay monotonically. Both the in vivo and simulated placentas were split into regions of interest (ROIs) to analyze how the signal varies and how IVIM and rebounding parameters change across the placental width. Results: There was good agreement between the in vivo MRI data, and the data simulated from the mathematical model. Both sets of data included voxels showing a rebounding signal and voxels showing fast signal decay focused near the maternal side of the placenta. In vivo we found higher f(IVIM) in the uterine wall and near the maternal side of the placenta, with the slow diffusion coefficient D reduced in all ROIs in compromised pregnancy. Conclusion: A simulation based entirely on maternal blood explains key features observed in placental DWI, indicating the importance of maternal blood flow in interpreting placental MRI data, and providing potential new metrics for understanding changes in compromised placentas.
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UNSW, Ctr Big Data Res Hlth, Sydney, NSW 2052, AustraliaUNSW, Ctr Big Data Res Hlth, Sydney, NSW 2052, Australia
Barbieri, Sebastiano
Gurney-Champion, Oliver J.
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Inst Canc Res, Joint Dept Phys, London, England
Royal Marsden NHS Fdn Trust, London, EnglandUNSW, Ctr Big Data Res Hlth, Sydney, NSW 2052, Australia
Gurney-Champion, Oliver J.
Klaassen, Remy
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Acad Med Ctr, Canc Ctr Amsterdam, Dept Med Oncol, Amsterdam, Netherlands
Acad Med Ctr, LEXOR Lab Expt Oncol & Radiobiol, Amsterdam, NetherlandsUNSW, Ctr Big Data Res Hlth, Sydney, NSW 2052, Australia
Klaassen, Remy
Thoeny, Harriet C.
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HFR Fribourg Hop Cantonal, Dept Radiol, Fribourg, SwitzerlandUNSW, Ctr Big Data Res Hlth, Sydney, NSW 2052, Australia
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Natl Canc Ctr, Dept Radiol, Goyang 10408, Gyeonggi, South KoreaNatl Canc Ctr, Dept Radiol, Goyang 10408, Gyeonggi, South Korea
Kim, Yunju
Kim, Sung Hun
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Catholica Univ Korea, Seoul St Marys Hosp, Dept Radiol, Coll Med, 222 Banpo Daero, Seoul 06591, South KoreaNatl Canc Ctr, Dept Radiol, Goyang 10408, Gyeonggi, South Korea
Kim, Sung Hun
Lee, Hye Won
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Catholica Univ Korea, Seoul St Marys Hosp, Dept Pathol, Coll Med, Seoul 06591, South KoreaNatl Canc Ctr, Dept Radiol, Goyang 10408, Gyeonggi, South Korea
Lee, Hye Won
Song, Byung Joo
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Catholica Univ Korea, Bucheon St Marys Hosp, Dept Surg, Coll Med, Bucheon 14647, Gyeonggi, South KoreaNatl Canc Ctr, Dept Radiol, Goyang 10408, Gyeonggi, South Korea
Song, Byung Joo
Kang, Bong Joo
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Catholica Univ Korea, Seoul St Marys Hosp, Dept Radiol, Coll Med, 222 Banpo Daero, Seoul 06591, South KoreaNatl Canc Ctr, Dept Radiol, Goyang 10408, Gyeonggi, South Korea
Kang, Bong Joo
Lee, Ahwon
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Catholica Univ Korea, Seoul St Marys Hosp, Dept Pathol, Coll Med, Seoul 06591, South KoreaNatl Canc Ctr, Dept Radiol, Goyang 10408, Gyeonggi, South Korea
Lee, Ahwon
Nam, Yoonho
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Catholica Univ Korea, Seoul St Marys Hosp, Dept Radiol, Coll Med, 222 Banpo Daero, Seoul 06591, South KoreaNatl Canc Ctr, Dept Radiol, Goyang 10408, Gyeonggi, South Korea