Details

Autor(en) / Beteiligte

• Mi, Bao-Hong
• Wang, Xue-Zhou
• Yang, Jing-Wen
• Shi, Guang-Xia
• Zhang, Wen-Zheng
• Jin, Li-Na
• Yang, Li-Sha
• Liu, Dong-Hua
• Kang, Si-Bo
• Zhou, Hang
• Wang, Yi-Ran
• Wang, Li-Qiong
• Tu, Jian-Feng
• Reddy, Ravi Shankar Yerragonda

Titel

Thermographic evaluation of acupoints in lower limb region of individuals with osteoarthritis: A cross-sectional case-control study protocol

Ist Teil von

• PloS one, 2023-04, Vol.18 (4), p.e0284381-e0284381

Ort / Verlag

United States: Public Library of Science

Erscheinungsjahr

2023

Quelle

MEDLINE

Beschreibungen/Notizen

• Acupuncture has been widely used in the treatment of knee osteoarthritis (KOA), but the selection of acupoints is indeterminate and lacks biological basis. The skin temperature of acupoints can reflect the state of local tissue and may be a potential factor for guiding acupoint selection. This study aims to compare the skin temperature of acupoints between KOA patients and the healthy population. This is a protocol for a cross-sectional case-control study with 170 KOA patients and 170 age- and gender-matched healthy individuals. Diagnosed patients aged 45 to 70 will be recruited in the KOA group. Participants in the healthy group will be matched with the KOA group based on mean age and gender distribution. Skin temperature of 11 acupoints (ST35, EX-LE5, GB33, GB34, EX-LE2, ST34, ST36, GB39, BL40, SP9, SP10) will be extracted from infrared thermography (IRT) images of the lower limbs. Other measurements will include demographic data (gender, age, ethnicity, education, height, weight, BMI) and disease-related data (numerical rating scale, pain sites, duration of pain, pain descriptors, pain activities). The results of this study will provide biological evidence for acupoint selection. This study is a precondition for follow-up studies, in which the value of optimized acupoint selection will be verified. ChiCTR2200058867.