Grant Details
Grant Number: |
1R01CA214085-01 Interpret this number |
Primary Investigator: |
Wang, Yao |
Organization: |
New York University |
Project Title: |
SCH: Exp: Improving Early Detection and Intervention of Lymphedema |
Fiscal Year: |
2016 |
Abstract
Many breast cancer survivors face long-term post-operative challenges as a result of suffering from breast
cancer related lymphedema (hereafter, lymphedema), which causes abnormal swelling and multiple
distressing and sometimes extremely painful symptoms. These symptoms have been linked to clinically
detrimental outcomes, such as disability and psychological distress, both of which are known risk factors for
breast cancer survivors' poor quality of life. More importantly, lymphedema symptoms may indicate an early
stage of lymphedema that constitutes only minimal changes in objective measures of limb volume. Without
timely intervention in this early disease stage, lymphedema can progress into a chronic condition that no
surgical or medical interventions at present can cure. Yet, current clinical practice largely relies on clinicians'
observation of swelling and current research methods for detecting and assessing lymphedema are
cumbersome and not effective in detecting early stage of lymphedema. Thus, early detection of
lymphedema based on symptoms and early intervention for lymphedema symptom management may play
an important role in reducing the patient's risk for chronic lymphedema. The first primary goal of this project
is to use machine learning to understand the association between symptoms and other relevant personal
and clinical factors and the presence of lymphedema, and develop a web-based self-assessment platform
that enables patients to assess their risk for lymphedema from anywhere. The second goal is to develop a
Kinect-sensor based training system to improve the effectiveness of training for patients to learn and
practice the intervention lymphatic exercises developed by the Pl Fu, which have shown great promise in
reducing the risk of chronic lymphedema by maintaining pre-surgery limb volume, and relieving
lymphedema symptoms. The proposed solutions empower breast cancer survivors to take control of their
progression path of lymphedema, and will be integrated into our current IT-based self-care platform for
lymphedema symptom management and lymphedema risk reduction, which focuses on preventive,
proactive, evidence-based, person-centered approach to improve the quality of life of cancer survivors.
RELEVANCE (See instructions):
Lymphedema, which causes multiple painful symptoms, is a major health problem that affects more than
40% of 3.1 million breast cancer survivors in the US. This project will develop a self-assessment platform for .
early detection of lymphedema and a Kinect-based exercise training system to enhance early intervention.
The project has the potential to relieve lymphedema symptoms and reduce the risk for chronic lymphedema.
Publications
ASO Author Reflections: Infection and Skin Trauma Incrementally Increase the Risk of Breast Cancer-Related Lymphedema.
Authors: Fu M.R.
, Liu B.
, Qiu J.M.
, Sun Y.
, Axelrod D.
, Guth A.
, Korth S.
, Kremer H.L.
, Wang Y.
.
Source: Annals Of Surgical Oncology, 2024-08-25 00:00:00.0; , .
EPub date: 2024-08-25 00:00:00.0.
PMID: 39183249
Related Citations
The Effects of Daily-Living Risks on Breast Cancer-Related Lymphedema.
Authors: Fu M.R.
, Liu B.
, Qiu J.M.
, Sun Y.
, Axelrod D.
, Guth A.
, Korth S.
, Kremer H.L.
, Wang Y.
.
Source: Annals Of Surgical Oncology, 2024-08-01 00:00:00.0; , .
EPub date: 2024-08-01 00:00:00.0.
PMID: 39090498
Related Citations
Lymphatic Pain in Breast Cancer Survivors.
Authors: Fitzgerald Jones K.
, Fu M.R.
, McTernan M.L.
, Ko E.
, Yazicioglu S.
, Axelrod D.
, Guth A.A.
, Miaskowski C.
, Conley Y.P.
, Wood L.J.
, et al.
.
Source: Lymphatic Research And Biology, 2022 Oct; 20(5), p. 525-532.
EPub date: 2021-12-31 00:00:00.0.
PMID: 35089817
Related Citations
Co-occurring Fatigue and Lymphatic Pain Incrementally Aggravate Their Negative Effects on Activities of Daily Living, Emotional Distress, and Overall Health of Breast Cancer Patients.
Authors: Fu M.R.
, McTernan M.L.
, Qiu J.M.
, Miaskowski C.
, Conley Y.P.
, Ko E.
, Axelrod D.
, Guth A.
, Somers T.J.
, Wood L.J.
, et al.
.
Source: Integrative Cancer Therapies, 2022 Jan-Dec; 21, p. 15347354221089605.
PMID: 35446180
Related Citations
The Effects of Obesity on Lymphatic Pain and Swelling in Breast Cancer Patients.
Authors: Fu M.R.
, Axelrod D.
, Guth A.
, McTernan M.L.
, Qiu J.M.
, Zhou Z.
, Ko E.
, Magny-Normilus C.
, Scagliola J.
, Wang Y.
.
Source: Biomedicines, 2021-07-14 00:00:00.0; 9(7), .
EPub date: 2021-07-14 00:00:00.0.
PMID: 34356882
Related Citations
Model-Based Patterns of Lymphedema Symptomatology: Phenotypic and Biomarker Characterization.
Authors: Fu M.R.
, Aouizerat B.E.
, Yu G.
, Conley Y.
, Axelrod D.
, Guth A.A.
, Gagner J.P.
, Qiu J.M.
, Zagzag D.
.
Source: Current Breast Cancer Reports, 2021 Mar; 13(1), p. 1-18.
EPub date: 2020-11-24 00:00:00.0.
PMID: 34322193
Related Citations
The Effects of Kinect-Enhanced Lymphatic Exercise Intervention on Lymphatic Pain, Swelling, and Lymph Fluid Level.
Authors: Fu M.R.
, McTernan M.L.
, Qiu J.M.
, Ko E.
, Yazicioglu S.
, Axelrod D.
, Guth A.
, Fan Z.
, Sang A.
, Miaskowski C.
, et al.
.
Source: Integrative Cancer Therapies, 2021 Jan-Dec; 20, p. 15347354211026757.
PMID: 34160294
Related Citations
Limb Volume Changes and Activities of Daily Living: A Prospective Study.
Authors: Park J.H.
, Merriman J.
, Brody A.
, Fletcher J.
, Yu G.
, Ko E.
, Yancey A.
, Fu M.R.
.
Source: Lymphatic Research And Biology, 2020-11-13 00:00:00.0; , .
EPub date: 2020-11-13 00:00:00.0.
PMID: 33185515
Related Citations
Motion Sequence Alignment for A Kinect-Based In-Home Exercise System for Lymphatic Health and Lymphedema Intervention.
Authors: Chiang A.T.
, Chen Q.
, Wang Y.
, Fu M.R.
.
Source: Conference Proceedings : ... Annual International Conference Of The Ieee Engineering In Medicine And Biology Society. Ieee Engineering In Medicine And Biology Society. Annual Conference, 2018 Jul; 2018, p. 2072-2075.
PMID: 30440810
Related Citations
Machine learning for detection of lymphedema among breast cancer survivors.
Authors: Fu M.R.
, Wang Y.
, Li C.
, Qiu Z.
, Axelrod D.
, Guth A.A.
, Scagliola J.
, Conley Y.
, Aouizerat B.E.
, Qiu J.M.
, et al.
.
Source: Mhealth, 2018; 4, p. 17.
EPub date: 2018-05-29 00:00:00.0.
PMID: 29963562
Related Citations
Kinect-Based In-Home Exercise System for Lymphatic Health and Lymphedema Intervention.
Authors: Chiang A.T.
, Chen Q.
, Wang Y.
, Fu M.R.
.
Source: Ieee Journal Of Translational Engineering In Health And Medicine, 2018; 6, p. 4100313.
EPub date: 2018-10-12 00:00:00.0.
PMID: 30456001
Related Citations
Denoising of Joint Tracking Data by Kinect Sensors Using Clustered Gaussian Process Regression.
Authors: Chiang A.T.
, Chen Q.
, Li S.
, Wang Y.
, Fu M.
.
Source: Mmhealth'17 : Proceedings Of The 2nd International Workshop On Multimedia For Personal Health And Health Care : October 23, 2017, Mountain View, Ca, Usa. Acm Workshop On Multimedia For Personal Health And Health Care (2nd : 2017 : Mount.., 2017 Oct; 2017, p. 19-25.
PMID: 30882097
Related Citations
Usability and feasibility of health IT interventions to enhance Self-Care for Lymphedema Symptom Management in breast cancer survivors.
Authors: Fu M.R.
, Axelrod D.
, Guth A.A.
, Wang Y.
, Scagliola J.
, Hiotis K.
, Rampertaap K.
, El-Shammaa N.
.
Source: Internet Interventions, 2016 Sep; 5, p. 56-64.
EPub date: 2016-08-04 00:00:00.0.
PMID: 28255542
Related Citations