Literature DB >> 7085690

Developmental patterns in lower-extremity length discrepancies.

F Shapiro.   

Abstract

A review of lower-extremity length-discrepancy data in 803 patients demonstrated that not all discrepancies continue to increase at a constant rate with time. A classification of the developmental discrepancy patterns identified is presented: type I, upward slope; type II, upward slope-deceleration; type III, upward slope-plateau (type IIIA, downward slope-plateau; type IIIB, plateau); type IV, upward slope-plateau-upward slope; and type V, upward slope-plateau-downward slope. The patterns are dependent on the nature of the conditions causing the discrepancies and on the place and time of their occurrence. The distribution of the types of patterns in the various etiological groups is presented. The classification of developmental patterns illustrates the varying directional changes that can occur in these discrepancies and their dependence on underlying biological phenomena. Determination of the distribution of pattern types in the various conditions aids in planning the frequency of length-discrepancy studies. The patterns alone do not provide projections of final discrepancies, but when used in conjunction with the femoral-tibial length and growth-remaining charts of Green and Anderson they permit accurate projections of discrepancy to be made.

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Year:  1982        PMID: 7085690

Source DB:  PubMed          Journal:  J Bone Joint Surg Am        ISSN: 0021-9355            Impact factor:   5.284


  19 in total

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5.  Possible mistakes in prediction of bone maturation in fibular hemimelia by Moseley chart.

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6.  The More the Merrier: Integrating Multiple Models of Skeletal Maturity Improves the Accuracy of Growth Prediction.

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7.  Age and pattern of the onset of differential growth among growth plates in rats.

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Review 8.  The Actions of IGF-1 in the Growth Plate and Its Role in Postnatal Bone Elongation.

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9.  A technique for calculating limb length inequality and epiphyseodesis timing using the multiplier method and a spreadsheet.

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10.  Lower-limb growth: how predictable are predictions?

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