Literature DB >> 15928885

Measurement of articular cartilage volumes in the normal knee by magnetic resonance imaging: can cartilage volumes be estimated from physical characteristics?

Keita Nishimura1, Tomohiro Tanabe, Michio Kimura, Arimi Harasawa, Kanae Karita, Takashi Matsushita.   

Abstract

In recent times several studies have been performed on magnetic resonance imaging (MRI) sequences for imaging cartilage. A fat-suppressed three-dimensional sequence is one such noteworthy example. More recent studies have reported that the total volume of cartilage in a knee joint can be elucidated using this sequence. Based on these studies, we hypothesized that the total volume of cartilage in the knee joint may reflect certain other physical characteristics. The purpose of the current study was to clarify the articular cartilage volumes of the patella and femur in the human knee joints of healthy adults using MRI and to analyze the correlation of these volumes with other physical characteristics. The material comprised 68 knees of 68 Japanese healthy volunteers, aged from their twenties to their forties (37 men and 31 women) who had no past history of joint disease or trauma in the legs. The knees were imaged by MRI with a fat-suppressed three-dimensional sequence, and the cartilage volumes were calculated by computer processing. The factors analyzed were age, body weight, height, leg length, foot size, circumferences of the thigh and lower leg, the distance between medial and lateral femoral condyles, the diameter of the tibial head, body mass index, general joint laxity, quadriceps angle, and leg-heel alignment. The mean cartilage volume was 7.6 +/- 1.6 cm(3) (8.3 +/- 1.6 cm(3) in men, 6.7 +/- 0.9 cm(3) in women). It was significantly larger in men than in women. However, the volume positively correlated with body weight, height, leg length, and foot size, without distinction of gender or age. Based on these data, a multiple regression analysis was developed: cartilage volume = 0.113 x height - 11.053. We concluded that the cartilage volume depends on physical size regardless of gender, and it can be estimated from factors of physical size.

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Year:  2005        PMID: 15928885     DOI: 10.1007/s00776-005-0889-5

Source DB:  PubMed          Journal:  J Orthop Sci        ISSN: 0949-2658            Impact factor:   1.601


  6 in total

1.  Use magnetic resonance imaging to assess articular cartilage.

Authors:  Yuanyuan Wang; Anita E Wluka; Graeme Jones; Changhai Ding; Flavia M Cicuttini
Journal:  Ther Adv Musculoskelet Dis       Date:  2012-04       Impact factor: 5.346

2.  Deep learning-based fully automatic segmentation of wrist cartilage in MR images.

Authors:  Ekaterina Brui; Aleksandr Y Efimtcev; Vladimir A Fokin; Remi Fernandez; Anatoliy G Levchuk; Augustin C Ogier; Alexey A Samsonov; Jean P Mattei; Irina V Melchakova; David Bendahan; Anna Andreychenko
Journal:  NMR Biomed       Date:  2020-05-11       Impact factor: 4.044

3.  Isotropic morphometry and multicomponent T1 ρ mapping of human knee articular cartilage in vivo at 3T.

Authors:  Rahman Baboli; Azadeh Sharafi; Gregory Chang; Ravinder R Regatte
Journal:  J Magn Reson Imaging       Date:  2018-05-02       Impact factor: 4.813

4.  Quantitative evaluation of ankle cartilage in asymptomatic adolescent football players after season by T2-mapping magnetic resonance imaging.

Authors:  Sipin Luo; Yi Cao; Peng Hu; Nan Wang; Yeda Wan
Journal:  Biomed Eng Online       Date:  2021-12-28       Impact factor: 2.819

5.  Quantitative MRI evaluation of articular cartilage in patients with meniscus tear.

Authors:  Enqi Chen; Wenjing Hou; Hu Wang; Jing Li; Yangjing Lin; He Liu; Mingshan Du; Lian Li; Xianqi Wang; Jing Yang; Rui Yang; Changru Zhou; Pinzhen Chen; Meng Zeng; Qiandong Yao; Wei Chen
Journal:  Front Endocrinol (Lausanne)       Date:  2022-07-29       Impact factor: 6.055

6.  Osteochondral regeneration of the femoral medial condyle by using a scaffold-free 3D construct of synovial membrane-derived mesenchymal stem cells in horses.

Authors:  Daiki Murata; Shingo Ishikawa; Takafumi Sunaga; Yasuo Saito; Takeshi Sogawa; Koichi Nakayama; Seiji Hobo; Takashi Hatazoe
Journal:  BMC Vet Res       Date:  2022-01-22       Impact factor: 2.741

  6 in total

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