Constance Lehman
Overview
Explore the profile of Constance Lehman including associated specialties, affiliations and a list of published articles.
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37
Citations
1693
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Recent Articles
1.
Miles R, Lourenco A, Baird G, Roy I, Choi P, Lehman C, et al.
J Breast Imaging
. 2024 Mar;
3(5):564-571.
PMID: 38424944
Objective: To assess understandability, actionability, and readability of online patient educational materials (OPEM) related to breast implant-associated anaplastic large cell lymphoma (BIA-ALCL). Methods: Search volumes for query terms related to...
2.
Yala A, Mikhael P, Lehman C, Lin G, Strand F, Wan Y, et al.
Nat Med
. 2022 Jan;
28(1):136-143.
PMID: 35027757
Screening programs must balance the benefit of early detection with the cost of overscreening. Here, we introduce a novel reinforcement learning-based framework for personalized screening, Tempo, and demonstrate its efficacy...
3.
McCarthy A, Liu Y, Ehsan S, Guan Z, Liang J, Huang T, et al.
Cancers (Basel)
. 2022 Jan;
14(1).
PMID: 35008209
(1) Background: The purpose of this study is to compare the performance of four breast cancer risk prediction models by race, molecular subtype, family history of breast cancer, age, and...
4.
Koh S, Dontchos B, Bossuyt V, Edmonds C, Cristea S, Melkonjan N, et al.
NPJ Precis Oncol
. 2021 Sep;
5(1):85.
PMID: 34548623
Systematic collection of fresh tissues for research at the time of diagnostic image-guided breast biopsy has the potential to fuel a wide variety of innovative studies. Here we report the...
5.
McCarthy A, Friebel-Klingner T, Ehsan S, He W, Welch M, Chen J, et al.
Cancer Med
. 2021 Aug;
10(18):6456-6467.
PMID: 34464510
Background: Breast cancer is a heterogeneous disease, divided into subtypes based on the expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). Subtypes...
6.
Yala A, Mikhael P, Strand F, Lin G, Smith K, Wan Y, et al.
Sci Transl Med
. 2021 Jan;
13(578).
PMID: 33504648
Improved breast cancer risk models enable targeted screening strategies that achieve earlier detection and less screening harm than existing guidelines. To bring deep learning risk models to clinical practice, we...
7.
Li W, Newitt D, Gibbs J, Wilmes L, Jones E, Arasu V, et al.
NPJ Breast Cancer
. 2020 Dec;
6(1):63.
PMID: 33298938
Dynamic contrast-enhanced (DCE) MRI provides both morphological and functional information regarding breast tumor response to neoadjuvant chemotherapy (NAC). The purpose of this retrospective study is to test if prediction models...
8.
Kang J, Thompson R, Aneja S, Lehman C, Trister A, Zou J, et al.
Pract Radiat Oncol
. 2020 Jun;
11(1):74-83.
PMID: 32544635
Purpose: Artificial intelligence (AI) is about to touch every aspect of radiation therapy, from consultation to treatment planning, quality assurance, therapy delivery, and outcomes modeling. There is an urgent need...
9.
Kuhl C, Lehman C, Bedrosian I
J Clin Oncol
. 2020 May;
38(20):2351-2361.
PMID: 32442068
No abstract available.
10.
Panigrahi B, Miles R, Chou S, Brackett D, Sohn Y, Lehman C
Radiol Case Rep
. 2020 Apr;
15(6):727-729.
PMID: 32304318
Invasive lobular carcinoma (ILC) in the male breast is a rare subtype of a rare disease in men, accounting for approximately 1%-2% of all male breast cancers [1,2]. Only a...