A statistical method (cross-validation) for bone loss region detection after spaceflight
Open accessAbstract
Astronauts experience bone loss after the long spaceflight missions. Identifying specific regions that undergo the greatest losses (e.g. the proximal femur) could reveal information about the processes of bone loss in disuse and disease. Methods for detecting such regions, however, remains an open problem. This paper focuses on statistical methods to detect such regions. We perform statistical parametric mapping to get t-maps of changes in images, and propose a new cross-validation method to select an optimum suprathreshold for forming clusters of pixels. Once these candidate clusters are formed, we use permutation testing of longitudinal labels to derive significant changes.
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Long-duration spaceflights induce bone mineral density (BMD) loss in weight-bearing bones, with considerable individual variability.
“It is well known that long-duration spaceflights induce BMD loss in weight-bearing bones although there is considerable individual variability [6–12].”
From A human mission to Mars: Predicting the bone mineral density loss of astronauts (2020) · cites this paper as [9]
The longitudinal-study section says astronauts experience localized bone mineral loss during extended weightlessness, including in the proximal femur. The discussion identifies load-bearing subregions as sites of the largest losses. Although the paper calculates variance across astronauts, the passages do not establish that individual variability is considerable. (LLM, conf=0.86)
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A human mission to Mars: Predicting the bone mineral density loss of astronauts
Axpe, E., Chan, D., Abegaz, M. F., Schreurs, A.-S., Alwood, J. S., Globus, R. K., & Appel, E. A. (2020) · PLOS ONE · doi:10.1371/journal.pone.0226434 · Cited by 51 · see citing works
- Authors
- Zhao, Q., Li, W., Li, C., Chu, P. W., Kornak, J., Lang, T. F., Fang, J., & Lu, Y.
- Affiliations
- Sun Yat-sen University (CN)
- University of California, San Francisco (US)
- Corresponding author
- Fang, Jiqian
- Venue
- Australasian Physical & Engineering Sciences in Medicine
- Published
- 2010-06
- Volume
- 33
- Issue
- 2
- Pages
- 163-169
- ISSN
- 0158-9938 (ISSN-L)
- 1879-5447
- PMC
- PMC2917547
- OpenAlex
- W2071653452
- Cited by
- 5
- References
- 34
- Citations by year
- 2025: 1 · 2020: 1 · 2019: 1 · 2018: 1 · 2013: 1
- FWCI
- 0.22
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- Australasian Physical & Engineering Sciences in Medicine (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nc)
- Funders
- National Aeronautics and Space Administration (NNJ04HF78G)
- China Scholarship Council
- University of California, San Francisco
- Topics
- Health Sciences › Medicine › Physiology › Spaceflight effects on biology
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone health and osteoporosis research
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Keywords
- bone loss, spaceflight, bone mineral density, statistical parametric mapping, cross-validation, pixel clustering, permutation tests, proximal femur, disuse osteoporosis
- MeSH terms
- Humans, Longitudinal Studies, Osteoporosis, Space Flight, Weightlessness, Models, Statistical, Bone Density, Cluster Analysis, Astronauts, Biostatistics
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