Cargando…
Data-driven CAD-CAM vs traditional total contact custom insoles: A novel quantitative-statistical framework for the evaluation of insoles offloading performance in diabetic foot
BACKGROUND: Elevated plantar pressures represent a significant risk factor for neuropathic diabetic foot (NDF) ulceration. Foot offloading, through custom-made insoles, is essential for prevention and healing of NDF ulcerations. Objective quantitative evaluation to design custom-made insoles is not...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7932531/ https://www.ncbi.nlm.nih.gov/pubmed/33661973 http://dx.doi.org/10.1371/journal.pone.0247915 |
_version_ | 1783660440387059712 |
---|---|
author | D’Amico, Moreno Kinel, Edyta Roncoletta, Piero Gnaldi, Andrea Ceppitelli, Celeste Belli, Federico Murdolo, Giuseppe Vermigli, Cristiana |
author_facet | D’Amico, Moreno Kinel, Edyta Roncoletta, Piero Gnaldi, Andrea Ceppitelli, Celeste Belli, Federico Murdolo, Giuseppe Vermigli, Cristiana |
author_sort | D’Amico, Moreno |
collection | PubMed |
description | BACKGROUND: Elevated plantar pressures represent a significant risk factor for neuropathic diabetic foot (NDF) ulceration. Foot offloading, through custom-made insoles, is essential for prevention and healing of NDF ulcerations. Objective quantitative evaluation to design custom-made insoles is not a standard method. Aims: 1) to develop a novel quantitative-statistical framework (QSF) for the evaluation and design of the insoles’ offloading performance through in-shoe pressure measurement; 2) to compare the pressure-relieving efficiency of traditional shape-based total contact customised insoles (TCCI) with a novel CAD-CAM approach by the QSF. METHODS: We recruited 30 neuropathic diabetic patients in cross-sectional study design. The risk-regions of interest (R-ROIs) and their areas with in-shoe peak pressure statistically ≥200kPa were identified for each patients’ foot as determined on the average of peak pressure maps ascertained per each stance phase. Repeated measures Friedman test compared R-ROIs’ areas in three different walking condition: flat insole (FI); TCCI and CAD-CAM insoles. RESULTS: As compared with FI (20.6±12.9 cm(2)), both the TCCI (7±8.7 cm(2)) and the CAD-CAM (5.5±7.3 cm(2)) approaches provided a reduction of R-ROIs mean areas (p<0.0001). The CAD-CAM approach performed better than the TCCI with a mean pressure reduction of 37.3 kPa (15.6%) vs FI. CONCLUSIONS: The CAD-CAM strategy achieves better offloading performance than the traditional shape-only based approach. The introduced QSF provides a more rigorous method to the direct 200kPa cut-off approach outlined in the literature. It provides a statistically sound methodology to evaluate the offloading insoles design and subsequent monitoring steps. QSF allows the analysis of the whole foot’s plantar surface, independently from a predetermined anatomical identification/masking. QSF can provide a detailed description about how and where custom-made insole redistributes the underfoot pressure respect to the FI. Thus, its usefulness extends to the design step, helping to guide the modifications necessary to achieve optimal offloading insole performances. |
format | Online Article Text |
id | pubmed-7932531 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-79325312021-03-15 Data-driven CAD-CAM vs traditional total contact custom insoles: A novel quantitative-statistical framework for the evaluation of insoles offloading performance in diabetic foot D’Amico, Moreno Kinel, Edyta Roncoletta, Piero Gnaldi, Andrea Ceppitelli, Celeste Belli, Federico Murdolo, Giuseppe Vermigli, Cristiana PLoS One Research Article BACKGROUND: Elevated plantar pressures represent a significant risk factor for neuropathic diabetic foot (NDF) ulceration. Foot offloading, through custom-made insoles, is essential for prevention and healing of NDF ulcerations. Objective quantitative evaluation to design custom-made insoles is not a standard method. Aims: 1) to develop a novel quantitative-statistical framework (QSF) for the evaluation and design of the insoles’ offloading performance through in-shoe pressure measurement; 2) to compare the pressure-relieving efficiency of traditional shape-based total contact customised insoles (TCCI) with a novel CAD-CAM approach by the QSF. METHODS: We recruited 30 neuropathic diabetic patients in cross-sectional study design. The risk-regions of interest (R-ROIs) and their areas with in-shoe peak pressure statistically ≥200kPa were identified for each patients’ foot as determined on the average of peak pressure maps ascertained per each stance phase. Repeated measures Friedman test compared R-ROIs’ areas in three different walking condition: flat insole (FI); TCCI and CAD-CAM insoles. RESULTS: As compared with FI (20.6±12.9 cm(2)), both the TCCI (7±8.7 cm(2)) and the CAD-CAM (5.5±7.3 cm(2)) approaches provided a reduction of R-ROIs mean areas (p<0.0001). The CAD-CAM approach performed better than the TCCI with a mean pressure reduction of 37.3 kPa (15.6%) vs FI. CONCLUSIONS: The CAD-CAM strategy achieves better offloading performance than the traditional shape-only based approach. The introduced QSF provides a more rigorous method to the direct 200kPa cut-off approach outlined in the literature. It provides a statistically sound methodology to evaluate the offloading insoles design and subsequent monitoring steps. QSF allows the analysis of the whole foot’s plantar surface, independently from a predetermined anatomical identification/masking. QSF can provide a detailed description about how and where custom-made insole redistributes the underfoot pressure respect to the FI. Thus, its usefulness extends to the design step, helping to guide the modifications necessary to achieve optimal offloading insole performances. Public Library of Science 2021-03-04 /pmc/articles/PMC7932531/ /pubmed/33661973 http://dx.doi.org/10.1371/journal.pone.0247915 Text en © 2021 D’Amico et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article D’Amico, Moreno Kinel, Edyta Roncoletta, Piero Gnaldi, Andrea Ceppitelli, Celeste Belli, Federico Murdolo, Giuseppe Vermigli, Cristiana Data-driven CAD-CAM vs traditional total contact custom insoles: A novel quantitative-statistical framework for the evaluation of insoles offloading performance in diabetic foot |
title | Data-driven CAD-CAM vs traditional total contact custom insoles: A novel quantitative-statistical framework for the evaluation of insoles offloading performance in diabetic foot |
title_full | Data-driven CAD-CAM vs traditional total contact custom insoles: A novel quantitative-statistical framework for the evaluation of insoles offloading performance in diabetic foot |
title_fullStr | Data-driven CAD-CAM vs traditional total contact custom insoles: A novel quantitative-statistical framework for the evaluation of insoles offloading performance in diabetic foot |
title_full_unstemmed | Data-driven CAD-CAM vs traditional total contact custom insoles: A novel quantitative-statistical framework for the evaluation of insoles offloading performance in diabetic foot |
title_short | Data-driven CAD-CAM vs traditional total contact custom insoles: A novel quantitative-statistical framework for the evaluation of insoles offloading performance in diabetic foot |
title_sort | data-driven cad-cam vs traditional total contact custom insoles: a novel quantitative-statistical framework for the evaluation of insoles offloading performance in diabetic foot |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7932531/ https://www.ncbi.nlm.nih.gov/pubmed/33661973 http://dx.doi.org/10.1371/journal.pone.0247915 |
work_keys_str_mv | AT damicomoreno datadrivencadcamvstraditionaltotalcontactcustominsolesanovelquantitativestatisticalframeworkfortheevaluationofinsolesoffloadingperformanceindiabeticfoot AT kineledyta datadrivencadcamvstraditionaltotalcontactcustominsolesanovelquantitativestatisticalframeworkfortheevaluationofinsolesoffloadingperformanceindiabeticfoot AT roncolettapiero datadrivencadcamvstraditionaltotalcontactcustominsolesanovelquantitativestatisticalframeworkfortheevaluationofinsolesoffloadingperformanceindiabeticfoot AT gnaldiandrea datadrivencadcamvstraditionaltotalcontactcustominsolesanovelquantitativestatisticalframeworkfortheevaluationofinsolesoffloadingperformanceindiabeticfoot AT ceppitelliceleste datadrivencadcamvstraditionaltotalcontactcustominsolesanovelquantitativestatisticalframeworkfortheevaluationofinsolesoffloadingperformanceindiabeticfoot AT bellifederico datadrivencadcamvstraditionaltotalcontactcustominsolesanovelquantitativestatisticalframeworkfortheevaluationofinsolesoffloadingperformanceindiabeticfoot AT murdologiuseppe datadrivencadcamvstraditionaltotalcontactcustominsolesanovelquantitativestatisticalframeworkfortheevaluationofinsolesoffloadingperformanceindiabeticfoot AT vermiglicristiana datadrivencadcamvstraditionaltotalcontactcustominsolesanovelquantitativestatisticalframeworkfortheevaluationofinsolesoffloadingperformanceindiabeticfoot |