Lattice theory approach to metastatic disease patterns in autopsied human patients: Application to metastatic neuroblastoma

G. William Moore, Grover M. Hutchins, Suzanne M. de la Monte

    Research output: Contribution to journalArticle

    Abstract

    It is recognized that subsets of some morphologically homogeneous tumors may have different metastatic distribution patterns. Lattice theory is a multidimensional generalization of the cube. If each autopsied patient is regarded as a 'snapshot' (lattice corner), then each lattice edge represents an event of metastatic spread. A 'minimum entry' construction program was applied to the 40 neuroblastoma patients with complete autopsies at The Johns Hopkins Hospital. This lattice has the inductive property that reconnecting a single pathway does not decrease its length. Subset patterns in patients identified by this method may have diagnostic and therapeutic significance.

    Original languageEnglish (US)
    Pages (from-to)91-102
    Number of pages12
    JournalPattern Recognition
    Volume18
    Issue number2
    DOIs
    StatePublished - 1985

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    Lattice theory
    Tumors

    Keywords

    • Cancer metastases
    • Lattice theory
    • Neuroblastoma
    • Partially ordered set
    • Tree diagram

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition
    • Signal Processing
    • Electrical and Electronic Engineering

    Cite this

    Lattice theory approach to metastatic disease patterns in autopsied human patients : Application to metastatic neuroblastoma. / Moore, G. William; Hutchins, Grover M.; de la Monte, Suzanne M.

    In: Pattern Recognition, Vol. 18, No. 2, 1985, p. 91-102.

    Research output: Contribution to journalArticle

    Moore, G. William ; Hutchins, Grover M. ; de la Monte, Suzanne M. / Lattice theory approach to metastatic disease patterns in autopsied human patients : Application to metastatic neuroblastoma. In: Pattern Recognition. 1985 ; Vol. 18, No. 2. pp. 91-102.
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