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Research article
Ichiro Sekiya
Tokyo Medical and Dental University
Corresponding Author
ORCiD: https://orcid.org/0000-0002-6331-722X
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Objective
We have developed a fully automatic three-dimensional MRI analysis software that measures the projected cartilage area ratio (PCAR) to allow for the quantification of the cartilage in the knee. Our objectives were to verify our software’s accuracy for segmentation of cartilage and meniscus and to quantify cartilage and meniscus extrusion in our cross-sectional study. We also examined which cartilage quantification was most affected by age and analyzed the relationship between PCAR and meniscus extrusion.
Methods
MRI data from 108 subjects were selected for training, and Dice similarity coefficients were determined from 5 other subjects to verify the accuracy. Our cross-sectional study included other 561 subjects between 30–70 years of age. We quantified cartilage thickness, cartilage volume, and PCAR (0.0–1.5 mm) in medial femoral, lateral femoral, medial tibial, and medial lateral regions. Each region was divided into nine subregions, with particular focus on the medial central (mc) subregion. The medial meniscus coverage ratio (MMCR) was investigated as a quantification for meniscus extrusion.
Results
Dice similarity coefficients for cartilage and meniscus were both approximately 0.9. Among cartilage quantifications, the highest absolute value of the correlation coefficient with age was mcMT PCAR 1.0 mm in females and mcMT cartilage thickness in males. In females, mcMT PCAR 1.0 mm was correlated with MMCR, although MMCR was not correlated with age. In males, mcMT PCAR 0.0 mm was correlated with MMCR.
Conclusions
Our software showed high segmentation accuracy and provided numerous quantifications of cartilage related to age and meniscus extrusion.
Trial registration: UMIN, UMIN000032826. Registered 1 September 2018, https://upload.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000037299
Keywords
Cartilage, Meniscus, 3D MRI, U-Net, CNN
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Peer Review Timeline
CURRENT STATUS: Published
View the published article at BMC Musculoskeletal Disorders.
No community comments so far
Editorial decision: Accept
On 02 Nov, 2020
Editor assigned
On 28 Oct, 2020
Reviewers invited
Invitations sent on 28 Oct, 2020
Submission checks complete
On 27 Oct, 2020
Editor invited
On 27 Oct, 2020
No comments provided
Editorial decision: Major revision
On 23 Oct, 2020
Review #2 received
Received 22 Oct, 2020
Reviewer #2 agreed
On 12 Oct, 2020
Reviewers invited
Invitations sent on 10 Oct, 2020
Reviewer #1 agreed
On 10 Oct, 2020
Review #1 received
Received 10 Oct, 2020
Editor assigned
On 08 Oct, 2020
Submission checks complete
On 07 Oct, 2020
Editor invited
On 07 Oct, 2020
Version 1
Posted 16 Jul, 2020
No comments provided
Editorial decision: Major revision
On 14 Sep, 2020
Review #1 received
Received 13 Sep, 2020
Review #2 received
Received 04 Sep, 2020
Reviewer #2 agreed
On 10 Aug, 2020
Reviewer #1 agreed
On 09 Aug, 2020
Reviewers invited
Invitations sent on 25 Jul, 2020
Editor assigned
On 06 Jul, 2020
Submission checks complete
On 05 Jul, 2020
Editor invited
On 05 Jul, 2020
First submitted
On 02 Jul, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Orthopedics
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A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
See the published version of this preprint at BMC Musculoskeletal Disorders.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research article
Ichiro Sekiya
Tokyo Medical and Dental University
Corresponding Author
ORCiD: https://orcid.org/0000-0002-6331-722X
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at BMC Musculoskeletal Disorders.
No community comments so far
Editorial decision: Accept
On 02 Nov, 2020
Editor assigned
On 28 Oct, 2020
Reviewers invited
Invitations sent on 28 Oct, 2020
Submission checks complete
On 27 Oct, 2020
Editor invited
On 27 Oct, 2020
No comments provided
Editorial decision: Major revision
On 23 Oct, 2020
Review #2 received
Received 22 Oct, 2020
Reviewer #2 agreed
On 12 Oct, 2020
Reviewers invited
Invitations sent on 10 Oct, 2020
Reviewer #1 agreed
On 10 Oct, 2020
Review #1 received
Received 10 Oct, 2020
Editor assigned
On 08 Oct, 2020
Submission checks complete
On 07 Oct, 2020
Editor invited
On 07 Oct, 2020
Version 1
Posted 16 Jul, 2020
No comments provided
Editorial decision: Major revision
On 14 Sep, 2020
Review #1 received
Received 13 Sep, 2020
Review #2 received
Received 04 Sep, 2020
Reviewer #2 agreed
On 10 Aug, 2020
Reviewer #1 agreed
On 09 Aug, 2020
Reviewers invited
Invitations sent on 25 Jul, 2020
Editor assigned
On 06 Jul, 2020
Submission checks complete
On 05 Jul, 2020
Editor invited
On 05 Jul, 2020
First submitted
On 02 Jul, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Orthopedics
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at BMC Musculoskeletal Disorders.
Objective
We have developed a fully automatic three-dimensional MRI analysis software that measures the projected cartilage area ratio (PCAR) to allow for the quantification of the cartilage in the knee. Our objectives were to verify our software’s accuracy for segmentation of cartilage and meniscus and to quantify cartilage and meniscus extrusion in our cross-sectional study. We also examined which cartilage quantification was most affected by age and analyzed the relationship between PCAR and meniscus extrusion.
Methods
MRI data from 108 subjects were selected for training, and Dice similarity coefficients were determined from 5 other subjects to verify the accuracy. Our cross-sectional study included other 561 subjects between 30–70 years of age. We quantified cartilage thickness, cartilage volume, and PCAR (0.0–1.5 mm) in medial femoral, lateral femoral, medial tibial, and medial lateral regions. Each region was divided into nine subregions, with particular focus on the medial central (mc) subregion. The medial meniscus coverage ratio (MMCR) was investigated as a quantification for meniscus extrusion.
Results
Dice similarity coefficients for cartilage and meniscus were both approximately 0.9. Among cartilage quantifications, the highest absolute value of the correlation coefficient with age was mcMT PCAR 1.0 mm in females and mcMT cartilage thickness in males. In females, mcMT PCAR 1.0 mm was correlated with MMCR, although MMCR was not correlated with age. In males, mcMT PCAR 0.0 mm was correlated with MMCR.
Conclusions
Our software showed high segmentation accuracy and provided numerous quantifications of cartilage related to age and meniscus extrusion.
Trial registration: UMIN, UMIN000032826. Registered 1 September 2018, https://upload.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000037299
Figure 1
Figure 2
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