Chris Sidey-Gibbons
Overview
Explore the profile of Chris Sidey-Gibbons including associated specialties, affiliations and a list of published articles.
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Articles
39
Citations
378
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Recent Articles
1.
Cai L, Golatta M, Sidey-Gibbons C, Barr R, Pfob A
Arch Gynecol Obstet
. 2025 Jan;
PMID: 39883137
Purpose: Artificial Intelligence models based on medical (imaging) data are increasingly developed. However, the imaging software on which the original data is generated is frequently updated. The impact of updated...
2.
Cai L, Deutsch T, Sidey-Gibbons C, Kobel M, Riedel F, Smetanay K, et al.
JCO Clin Cancer Inform
. 2024 Dec;
8:e2400010.
PMID: 39715466
Purpose: Toxicity to systemic cancer treatment represents a major anxiety for patients and a challenge to treatment plans. We aimed to develop machine learning algorithms for the upfront prediction of...
3.
Xu C, Sidey-Gibbons C, Lacourt T
Qual Life Res
. 2024 Jul;
33(9):2361-2373.
PMID: 38980641
Purpose: To develop a PRO assessment of multidimensional cancer-related fatigue based on the PROMIS fatigue assessments. Method: Cancer patients reporting fatigue were recruited from a comprehensive cancer care center and...
4.
Cai L, Sidey-Gibbons C, Nees J, Riedel F, Schaefgen B, Togawa R, et al.
J Ultrasound Med
. 2023 Dec;
43(3):467-478.
PMID: 38069582
Objectives: Patients with triple-negative breast cancer (TNBC) exhibit a fast tumor growth rate and poor survival outcomes. In this study, we aimed to develop and compare intelligent algorithms using ultrasound...
5.
Pfob A, Cai L, Schneeweiss A, Rauch G, Thomas B, Schaefgen B, et al.
Ann Surg Oncol
. 2023 Nov;
31(2):957-965.
PMID: 37947974
Background: Breast cancer patients with residual disease after neoadjuvant systemic treatment (NAST) have a worse prognosis compared with those achieving a pathologic complete response (pCR). Earlier identification of these patients...
6.
Cai L, Sidey-Gibbons C, Nees J, Riedel F, Schafgen B, Togawa R, et al.
Eur Radiol
. 2023 Sep;
34(4):2560-2573.
PMID: 37707548
Objectives: Response assessment to neoadjuvant systemic treatment (NAST) to guide individualized treatment in breast cancer is a clinical research priority. We aimed to develop an intelligent algorithm using multi-modal pretreatment...
7.
Xu C, Pfob A, Mehrara B, Yin P, Nelson J, Pusic A, et al.
Ann Surg Oncol
. 2023 Jul;
30(12):7046-7059.
PMID: 37516723
Background: We sought to predict clinically meaningful changes in physical, sexual, and psychosocial well-being for women undergoing cancer-related mastectomy and breast reconstruction 2 years after surgery using machine learning (ML)...
8.
Xu C, Pfob A, Sidey-Gibbons C
Ann Surg Oncol
. 2023 Jul;
30(12):7135-7136.
PMID: 37516722
No abstract available.
9.
Xu C, Lu P, Pfob A, Pusic A, Hamill J, Sidey-Gibbons C
PLoS One
. 2023 Jul;
18(7):e0289182.
PMID: 37506093
Objectives: We sought to identify trajectories of patient-reported outcomes, specifically physical well-being of the chest (PWBC), in patients who underwent postmastectomy breast reconstruction, and further assessed its significant predictors, and...
10.
George R, Ellis B, West A, Graff A, Weaver S, Abramowski M, et al.
Commun Med (Lond)
. 2023 Jun;
3(1):88.
PMID: 37349541
Background: Cancer patients often experience treatment-related symptoms which, if uncontrolled, may require emergency department admission. We developed models identifying breast or genitourinary cancer patients at the risk of attending emergency...