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Deep Learning-Based Synthetic Contrast-Enhanced Breast MRI for Monitoring Response to Neoadjuvant Therapy.

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Title: Deep Learning-Based Synthetic Contrast-Enhanced Breast MRI for Monitoring Response to Neoadjuvant Therapy.
Authors: Sujichantararat S; Department of Radiology, University of Washington, Seattle, WA 98195, USA., Biswas D; Department of Radiology, University of Washington, Seattle, WA 98195, USA.; Department of Bioengineering, University of Washington, Seattle, WA 98195, USA., Kazerouni AS; Department of Radiology, University of Washington, Seattle, WA 98195, USA., Tsang ED; Department of Radiology, University of Washington, Seattle, WA 98195, USA.; Department of Bioengineering, University of Washington, Seattle, WA 98195, USA., Sathe A; Department of Radiology, University of Washington, Seattle, WA 98195, USA.; Department of Bioengineering, University of Washington, Seattle, WA 98195, USA., Hippe DS; Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA., Park VY; Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul 03722, Republic of Korea., Chung M; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, USA., Specht JM; Division of Hematology and Oncology, University of Washington, Seattle, WA 98195, USA., Dintzis SM; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA., Rahbar H; Department of Radiology, University of Washington, Seattle, WA 98195, USA., Holmes JH; Departments of Radiology, Biomedical Engineering, and Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, USA., Huang W; Department of Radiation Oncology, Research Institute, Corewell Health, Royal Oak, MI 48073, USA.; Department of Radiation Oncology, Oakland University William Beaumont School of Medicine, Rochester, MI 48309, USA., Partridge SC; Department of Radiology, University of Washington, Seattle, WA 98195, USA.; Department of Bioengineering, University of Washington, Seattle, WA 98195, USA.
Source: Cancers [Cancers (Basel)] 2026 Jun 04; Vol. 18 (11). Date of Electronic Publication: 2026 Jun 04.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101526829 Publication Model: Electronic Cited Medium: Print ISSN: 2072-6694 (Print) Linking ISSN: 20726694 NLM ISO Abbreviation: Cancers (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Deep Learning-Based Synthetic Contrast-Enhanced Breast MRI for Monitoring Response to Neoadjuvant Therapy.
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  Data: <searchLink fieldCode="AU" term="%22Sujichantararat+S%22">Sujichantararat S</searchLink>; Department of Radiology, University of Washington, Seattle, WA 98195, USA.<br /><searchLink fieldCode="AU" term="%22Biswas+D%22">Biswas D</searchLink>; Department of Radiology, University of Washington, Seattle, WA 98195, USA.; Department of Bioengineering, University of Washington, Seattle, WA 98195, USA.<br /><searchLink fieldCode="AU" term="%22Kazerouni+AS%22">Kazerouni AS</searchLink>; Department of Radiology, University of Washington, Seattle, WA 98195, USA.<br /><searchLink fieldCode="AU" term="%22Tsang+ED%22">Tsang ED</searchLink>; Department of Radiology, University of Washington, Seattle, WA 98195, USA.; Department of Bioengineering, University of Washington, Seattle, WA 98195, USA.<br /><searchLink fieldCode="AU" term="%22Sathe+A%22">Sathe A</searchLink>; Department of Radiology, University of Washington, Seattle, WA 98195, USA.; Department of Bioengineering, University of Washington, Seattle, WA 98195, USA.<br /><searchLink fieldCode="AU" term="%22Hippe+DS%22">Hippe DS</searchLink>; Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.<br /><searchLink fieldCode="AU" term="%22Park+VY%22">Park VY</searchLink>; Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Chung+M%22">Chung M</searchLink>; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, USA.<br /><searchLink fieldCode="AU" term="%22Specht+JM%22">Specht JM</searchLink>; Division of Hematology and Oncology, University of Washington, Seattle, WA 98195, USA.<br /><searchLink fieldCode="AU" term="%22Dintzis+SM%22">Dintzis SM</searchLink>; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA.<br /><searchLink fieldCode="AU" term="%22Rahbar+H%22">Rahbar H</searchLink>; Department of Radiology, University of Washington, Seattle, WA 98195, USA.<br /><searchLink fieldCode="AU" term="%22Holmes+JH%22">Holmes JH</searchLink>; Departments of Radiology, Biomedical Engineering, and Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, USA.<br /><searchLink fieldCode="AU" term="%22Huang+W%22">Huang W</searchLink>; Department of Radiation Oncology, Research Institute, Corewell Health, Royal Oak, MI 48073, USA.; Department of Radiation Oncology, Oakland University William Beaumont School of Medicine, Rochester, MI 48309, USA.<br /><searchLink fieldCode="AU" term="%22Partridge+SC%22">Partridge SC</searchLink>; Department of Radiology, University of Washington, Seattle, WA 98195, USA.; Department of Bioengineering, University of Washington, Seattle, WA 98195, USA.
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  Data: <searchLink fieldCode="JN" term="%22101526829%22">Cancers</searchLink> [Cancers (Basel)] 2026 Jun 04; Vol. 18 (11). <i>Date of Electronic Publication: </i>2026 Jun 04.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI%22">MDPI </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101526829 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2072-6694 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220726694%22">20726694 </searchLink><i>NLM ISO Abbreviation: </i>Cancers (Basel) <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3390/cancers18111835
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              Text: 2026 Jun 04
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