PMID- 33148675
OWN - NLM
STAT- MEDLINE
DCOM- 20220120
LR  - 20240402
IS  - 1557-3265 (Electronic)
IS  - 1078-0432 (Print)
IS  - 1078-0432 (Linking)
VI  - 27
IP  - 4
DP  - 2021 Feb 15
TI  - Discrimination of Breast Cancer from Healthy Breast Tissue Using a 
      Three-component Diffusion-weighted MRI Model.
PG  - 1094-1104
LID - 10.1158/1078-0432.CCR-20-2017 [doi]
AB  - PURPOSE: Diffusion-weighted MRI (DW-MRI) is a contrast-free modality that has 
      demonstrated ability to discriminate between predefined benign and malignant 
      breast lesions. However, how well DW-MRI discriminates cancer from all other 
      breast tissue voxels in a clinical setting is unknown. Here we explore the 
      voxelwise ability to distinguish cancer from healthy breast tissue using signal 
      contributions from the newly developed three-component multi-b-value DW-MRI 
      model. EXPERIMENTAL DESIGN: Patients with pathology-proven breast cancer from two 
      datasets (n = 81 and n = 25) underwent multi-b-value DW-MRI. The three-component 
      signal contributions C (1) and C (2) and their product, C (1) C (2), and signal 
      fractions F (1), F (2), and F (1) F (2) were compared with the image defined on 
      maximum b-value (DWI (max)), conventional apparent diffusion coefficient (ADC), 
      and apparent diffusion kurtosis (K (app)). The ability to discriminate between 
      cancer and healthy breast tissue was assessed by the false-positive rate given a 
      sensitivity of 80% (FPR(80)) and ROC AUC. RESULTS: Mean FPR(80) for both datasets 
      was 0.016 [95% confidence interval (CI), 0.008-0.024] for C (1) C (2), 0.136 (95% 
      CI, 0.092-0.180) for C (1), 0.068 (95% CI, 0.049-0.087) for C (2), 0.462 (95% CI, 
      0.425-0.499) for F (1) F (2), 0.832 (95% CI, 0.797-0.868) for F (1), 0.176 (95% 
      CI, 0.150-0.203) for F (2), 0.159 (95% CI, 0.114-0.204) for DWI (max), 0.731 (95% 
      CI, 0.692-0.770) for ADC, and 0.684 (95% CI, 0.660-0.709) for K (app). Mean ROC 
      AUC for C (1) C (2) was 0.984 (95% CI, 0.977-0.991). CONCLUSIONS: The C (1) C (2) 
      parameter of the three-component model yields a clinically useful discrimination 
      between cancer and healthy breast tissue, superior to other DW-MRI methods and 
      obliviating predefining lesions. This novel DW-MRI method may serve as 
      noncontrast alternative to standard-of-care dynamic contrast-enhanced MRI.
CI  - (c)2020 American Association for Cancer Research.
FAU - Andreassen, Maren M Sjaastad
AU  - Andreassen MMS
AUID- ORCID: 0000-0002-2581-7135
AD  - Department of Circulation and Medical Imaging, Norwegian University of Science 
      and Technology, Trondheim, Norway.
FAU - Rodriguez-Soto, Ana E
AU  - Rodriguez-Soto AE
AD  - Department of Radiology, University of California San Diego, La Jolla, 
      California.
FAU - Conlin, Christopher C
AU  - Conlin CC
AUID- ORCID: 0000-0003-4509-8702
AD  - Department of Radiology, University of California San Diego, La Jolla, 
      California.
FAU - Vidic, Igor
AU  - Vidic I
AD  - Department of Physics, Norwegian University of Science and Technology, Trondheim, 
      Norway.
FAU - Seibert, Tyler M
AU  - Seibert TM
AUID- ORCID: 0000-0002-4089-7399
AD  - Department of Radiology, University of California San Diego, La Jolla, 
      California.
AD  - Department of Radiation Medicine and Applied Sciences, University of California 
      San Diego, La Jolla, California.
AD  - Department of Bioengineering, University of California San Diego, La Jolla, 
      California.
FAU - Wallace, Anne M
AU  - Wallace AM
AD  - Department of Surgery, University of California San Diego, La Jolla, California.
FAU - Zare, Somaye
AU  - Zare S
AUID- ORCID: 0000-0003-4910-8795
AD  - Department of Pathology, University of California San Diego, La Jolla, 
      California.
FAU - Kuperman, Joshua
AU  - Kuperman J
AD  - Department of Radiology, University of California San Diego, La Jolla, 
      California.
FAU - Abudu, Boya
AU  - Abudu B
AUID- ORCID: 0000-0002-7552-6141
AD  - School of Medicine, University of California San Diego, La Jolla, California.
FAU - Ahn, Grace S
AU  - Ahn GS
AD  - School of Medicine, University of California San Diego, La Jolla, California.
FAU - Hahn, Michael
AU  - Hahn M
AD  - Department of Radiology, University of California San Diego, La Jolla, 
      California.
FAU - Jerome, Neil P
AU  - Jerome NP
AUID- ORCID: 0000-0002-9556-5930
AD  - Department of Circulation and Medical Imaging, Norwegian University of Science 
      and Technology, Trondheim, Norway.
AD  - Department of Physics, Norwegian University of Science and Technology, Trondheim, 
      Norway.
FAU - Ostlie, Agnes
AU  - Ostlie A
AD  - Department of Circulation and Medical Imaging, Norwegian University of Science 
      and Technology, Trondheim, Norway.
FAU - Bathen, Tone F
AU  - Bathen TF
AUID- ORCID: 0000-0002-8582-6965
AD  - Department of Circulation and Medical Imaging, Norwegian University of Science 
      and Technology, Trondheim, Norway.
AD  - Department of Radiology and Nuclear Medicine, St. Olav's University Hospital, 
      Trondheim, Norway.
FAU - Ojeda-Fournier, Haydee
AU  - Ojeda-Fournier H
AUID- ORCID: 0000-0003-3773-0050
AD  - Department of Radiology, University of California San Diego, La Jolla, 
      California.
FAU - Goa, Pal Erik
AU  - Goa PE
AD  - Department of Physics, Norwegian University of Science and Technology, Trondheim, 
      Norway.
AD  - Department of Radiology and Nuclear Medicine, St. Olav's University Hospital, 
      Trondheim, Norway.
FAU - Rakow-Penner, Rebecca
AU  - Rakow-Penner R
AD  - Department of Radiology, University of California San Diego, La Jolla, 
      California. rrakowpenner@health.ucsd.edu.
FAU - Dale, Anders M
AU  - Dale AM
AUID- ORCID: 0000-0002-6126-2966
AD  - Department of Radiology, University of California San Diego, La Jolla, 
      California.
AD  - Department of Neuroscience, University of California San Diego, La Jolla, 
      California.
LA  - eng
GR  - K08 EB026503/EB/NIBIB NIH HHS/United States
GR  - L30 CA231417/CA/NCI NIH HHS/United States
PT  - Comparative Study
PT  - Journal Article
PT  - Observational Study
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, Non-U.S. Gov't
DEP - 20201104
PL  - United States
TA  - Clin Cancer Res
JT  - Clinical cancer research : an official journal of the American Association for 
      Cancer Research
JID - 9502500
SB  - IM
MH  - Adult
MH  - Aged
MH  - Aged, 80 and over
MH  - Breast/*diagnostic imaging/pathology
MH  - Breast Neoplasms/*diagnosis/pathology
MH  - Datasets as Topic
MH  - Diagnosis, Differential
MH  - Diffusion Magnetic Resonance Imaging/*methods
MH  - Feasibility Studies
MH  - Female
MH  - Humans
MH  - *Image Processing, Computer-Assisted
MH  - Middle Aged
MH  - ROC Curve
MH  - Young Adult
PMC - PMC8174004
MID - NIHMS1704576
EDAT- 2020/11/06 06:00
MHDA- 2022/01/21 06:00
PMCR- 2022/02/15
CRDT- 2020/11/05 05:58
PHST- 2020/05/28 00:00 [received]
PHST- 2020/08/29 00:00 [revised]
PHST- 2020/10/29 00:00 [accepted]
PHST- 2020/11/06 06:00 [pubmed]
PHST- 2022/01/21 06:00 [medline]
PHST- 2020/11/05 05:58 [entrez]
PHST- 2022/02/15 00:00 [pmc-release]
AID - 1078-0432.CCR-20-2017 [pii]
AID - 10.1158/1078-0432.CCR-20-2017 [doi]
PST - ppublish
SO  - Clin Cancer Res. 2021 Feb 15;27(4):1094-1104. doi: 10.1158/1078-0432.CCR-20-2017. 
      Epub 2020 Nov 4.