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David C Newitt

Explore the profile of David C Newitt including associated specialties, affiliations and a list of published articles. Areas
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Articles 48
Citations 1066
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Recent Articles
1.
Li W, Partridge S, Newitt D, Steingrimsson J, Marques H, Bolan P, et al.
Radiol Imaging Cancer . 2024 Jan; 6(1):e230033. PMID: 38180338
Purpose To describe the design, conduct, and results of the Breast Multiparametric MRI for prediction of neoadjuvant chemotherapy Response (BMMR2) challenge. Materials and Methods The BMMR2 computational challenge opened on...
2.
Onishi N, Bareng T, Gibbs J, Li W, Price E, Joe B, et al.
Radiol Imaging Cancer . 2023 Jul; 5(4):e220126. PMID: 37505107
Purpose To investigate the impact of longitudinal variation in functional tumor volume (FTV) underestimation and overestimation in predicting pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC). Materials and Methods Women...
3.
Li W, Le N, Onishi N, Newitt D, Wilmes L, Gibbs J, et al.
Cancers (Basel) . 2022 Sep; 14(18). PMID: 36139594
This study tested the hypothesis that a change in the apparent diffusion coefficient (ADC) measured in diffusion-weighted MRI (DWI) is an independent imaging marker, and ADC performs better than functional...
4.
Chitalia R, Pati S, Bhalerao M, Thakur S, Jahani N, Belenky V, et al.
Sci Data . 2022 Jul; 9(1):440. PMID: 35871247
Breast cancer is one of the most pervasive forms of cancer and its inherent intra- and inter-tumor heterogeneity contributes towards its poor prognosis. Multiple studies have reported results from either...
5.
Le N, Li W, Onishi N, Newitt D, Gibbs J, Wilmes L, et al.
Tomography . 2022 Jun; 8(3):1208-1220. PMID: 35645385
This study evaluated the inter-reader agreement of tumor apparent diffusion coefficient (ADC) measurements performed on breast diffusion-weighted imaging (DWI) for assessing treatment response in a multi-center clinical trial of neoadjuvant...
6.
Nguyen A, Onishi N, Carmona-Bozo J, Li W, Kornak J, Newitt D, et al.
Tomography . 2022 Apr; 8(2):891-904. PMID: 35448706
Background parenchymal enhancement (BPE) of breast fibroglandular tissue (FGT) in dynamic contrast-enhanced breast magnetic resonance imaging (MRI) has shown an association with response to neoadjuvant chemotherapy (NAC) in patients with...
7.
Partridge S, Steingrimsson J, Newitt D, Gibbs J, Marques H, Bolan P, et al.
Tomography . 2022 Mar; 8(2):701-717. PMID: 35314635
In diffusion-weighted MRI (DW-MRI), choice of b-value influences apparent diffusion coefficient (ADC) values by probing different aspects of the tissue microenvironment. As a secondary analysis of the multicenter ECOG-ACRIN A6698...
8.
Pang Y, Malyarenko D, Wilmes L, Devaraj A, Tan E, Marinelli L, et al.
Tomography . 2022 Feb; 8(1):364-375. PMID: 35202195
The study aims to test the long-term stability of gradient characteristics for model-based correction of diffusion weighting (DW) bias in an apparent diffusion coefficient (ADC) for multisite imaging trials. Single...
9.
Onishi N, Li W, Newitt D, Harnish R, Strand F, Nguyen A, et al.
Radiology . 2021 Aug; 301(2):295-308. PMID: 34427465
Background Suppression of background parenchymal enhancement (BPE) is commonly observed after neoadjuvant chemotherapy (NAC) at contrast-enhanced breast MRI. It was hypothesized that nonsuppressed BPE may be associated with inferior response...
10.
Magbanua M, Li W, Wolf D, Yau C, Hirst G, Swigart L, et al.
NPJ Breast Cancer . 2021 Mar; 7(1):32. PMID: 33767190
We investigated whether serial measurements of circulating tumor DNA (ctDNA) and functional tumor volume (FTV) by magnetic resonance imaging (MRI) can be combined to improve prediction of pathologic complete response...