Vessel tortuosity and brain tumor malignancy

A blinded study

Elizabeth Bullitt, Donglin Zeng, Guido Gerig, Stephen Aylward, Sarang Joshi, J. Keith Smith, Weili Lin, Matthew G. Ewend

    Research output: Contribution to journalArticle

    Abstract

    Rationale and Objectives. Malignancy provokes regional changes to vessel shape. Characteristic vessel tortuosity abnormalities appear early during tumor development, affect initially healthy vessels, spread beyond the confines of tumor margins, and do not simply mirror tissue perfusion. The ability to detect and quantify tortuosity abnormalities on high-resolution magnetic resonance angiography (MRA) images offers a new approach to the noninvasive diagnosis of malignancy. This report evaluates a computerized, statistical method of analyzing the shapes of vessels extracted from MRA in diagnosing cancer. Materials and Methods. The regional vasculature of 34 healthy subjects was compared with the tumor-associated vasculature of 30 brain tumors before surgical resection. The operator performing the analysis was blinded to the diagnosis. Vessels were segmented from an MRA of each subject, a region of interest was defined in each tumor patient and was mapped to all healthy controls, and a statistical analysis of vessel shape measures was then performed over the region of interest. Many difficult cases were included, such as pinpoint, hemorrhagic, and irradiated tumors, as were hypervascular benign tumors. Tumors were identified as benign or malignant on the basis of histological evaluation. Results. A discriminant analysis performed at the study's conclusion successfully classified all but one of the 30 tumors as benign or malignant on the basis of vessel tortuosity. Conclusions. Quantitative, statistical measures of vessel shape offer a new approach to the diagnosis and staging of disease. Although the methods developed under the current report must be tested against a new series of cases, initial results are promising.

    Original languageEnglish (US)
    Pages (from-to)1232-1240
    Number of pages9
    JournalAcademic Radiology
    Volume12
    Issue number10
    DOIs
    StatePublished - Oct 2005

    Fingerprint

    Brain Neoplasms
    Neoplasms
    Magnetic Resonance Angiography
    Discriminant Analysis
    Healthy Volunteers
    Perfusion

    Keywords

    • Blood vessels
    • Brain tumor
    • Cancer
    • Computer
    • MRA
    • Tortuosity

    ASJC Scopus subject areas

    • Radiology Nuclear Medicine and imaging

    Cite this

    Bullitt, E., Zeng, D., Gerig, G., Aylward, S., Joshi, S., Smith, J. K., ... Ewend, M. G. (2005). Vessel tortuosity and brain tumor malignancy: A blinded study. Academic Radiology, 12(10), 1232-1240. https://doi.org/10.1016/j.acra.2005.05.027

    Vessel tortuosity and brain tumor malignancy : A blinded study. / Bullitt, Elizabeth; Zeng, Donglin; Gerig, Guido; Aylward, Stephen; Joshi, Sarang; Smith, J. Keith; Lin, Weili; Ewend, Matthew G.

    In: Academic Radiology, Vol. 12, No. 10, 10.2005, p. 1232-1240.

    Research output: Contribution to journalArticle

    Bullitt, E, Zeng, D, Gerig, G, Aylward, S, Joshi, S, Smith, JK, Lin, W & Ewend, MG 2005, 'Vessel tortuosity and brain tumor malignancy: A blinded study', Academic Radiology, vol. 12, no. 10, pp. 1232-1240. https://doi.org/10.1016/j.acra.2005.05.027
    Bullitt E, Zeng D, Gerig G, Aylward S, Joshi S, Smith JK et al. Vessel tortuosity and brain tumor malignancy: A blinded study. Academic Radiology. 2005 Oct;12(10):1232-1240. https://doi.org/10.1016/j.acra.2005.05.027
    Bullitt, Elizabeth ; Zeng, Donglin ; Gerig, Guido ; Aylward, Stephen ; Joshi, Sarang ; Smith, J. Keith ; Lin, Weili ; Ewend, Matthew G. / Vessel tortuosity and brain tumor malignancy : A blinded study. In: Academic Radiology. 2005 ; Vol. 12, No. 10. pp. 1232-1240.
    @article{2de1930fd61e4689bfb7f8ffd83ed626,
    title = "Vessel tortuosity and brain tumor malignancy: A blinded study",
    abstract = "Rationale and Objectives. Malignancy provokes regional changes to vessel shape. Characteristic vessel tortuosity abnormalities appear early during tumor development, affect initially healthy vessels, spread beyond the confines of tumor margins, and do not simply mirror tissue perfusion. The ability to detect and quantify tortuosity abnormalities on high-resolution magnetic resonance angiography (MRA) images offers a new approach to the noninvasive diagnosis of malignancy. This report evaluates a computerized, statistical method of analyzing the shapes of vessels extracted from MRA in diagnosing cancer. Materials and Methods. The regional vasculature of 34 healthy subjects was compared with the tumor-associated vasculature of 30 brain tumors before surgical resection. The operator performing the analysis was blinded to the diagnosis. Vessels were segmented from an MRA of each subject, a region of interest was defined in each tumor patient and was mapped to all healthy controls, and a statistical analysis of vessel shape measures was then performed over the region of interest. Many difficult cases were included, such as pinpoint, hemorrhagic, and irradiated tumors, as were hypervascular benign tumors. Tumors were identified as benign or malignant on the basis of histological evaluation. Results. A discriminant analysis performed at the study's conclusion successfully classified all but one of the 30 tumors as benign or malignant on the basis of vessel tortuosity. Conclusions. Quantitative, statistical measures of vessel shape offer a new approach to the diagnosis and staging of disease. Although the methods developed under the current report must be tested against a new series of cases, initial results are promising.",
    keywords = "Blood vessels, Brain tumor, Cancer, Computer, MRA, Tortuosity",
    author = "Elizabeth Bullitt and Donglin Zeng and Guido Gerig and Stephen Aylward and Sarang Joshi and Smith, {J. Keith} and Weili Lin and Ewend, {Matthew G.}",
    year = "2005",
    month = "10",
    doi = "10.1016/j.acra.2005.05.027",
    language = "English (US)",
    volume = "12",
    pages = "1232--1240",
    journal = "Academic Radiology",
    issn = "1076-6332",
    publisher = "Elsevier USA",
    number = "10",

    }

    TY - JOUR

    T1 - Vessel tortuosity and brain tumor malignancy

    T2 - A blinded study

    AU - Bullitt, Elizabeth

    AU - Zeng, Donglin

    AU - Gerig, Guido

    AU - Aylward, Stephen

    AU - Joshi, Sarang

    AU - Smith, J. Keith

    AU - Lin, Weili

    AU - Ewend, Matthew G.

    PY - 2005/10

    Y1 - 2005/10

    N2 - Rationale and Objectives. Malignancy provokes regional changes to vessel shape. Characteristic vessel tortuosity abnormalities appear early during tumor development, affect initially healthy vessels, spread beyond the confines of tumor margins, and do not simply mirror tissue perfusion. The ability to detect and quantify tortuosity abnormalities on high-resolution magnetic resonance angiography (MRA) images offers a new approach to the noninvasive diagnosis of malignancy. This report evaluates a computerized, statistical method of analyzing the shapes of vessels extracted from MRA in diagnosing cancer. Materials and Methods. The regional vasculature of 34 healthy subjects was compared with the tumor-associated vasculature of 30 brain tumors before surgical resection. The operator performing the analysis was blinded to the diagnosis. Vessels were segmented from an MRA of each subject, a region of interest was defined in each tumor patient and was mapped to all healthy controls, and a statistical analysis of vessel shape measures was then performed over the region of interest. Many difficult cases were included, such as pinpoint, hemorrhagic, and irradiated tumors, as were hypervascular benign tumors. Tumors were identified as benign or malignant on the basis of histological evaluation. Results. A discriminant analysis performed at the study's conclusion successfully classified all but one of the 30 tumors as benign or malignant on the basis of vessel tortuosity. Conclusions. Quantitative, statistical measures of vessel shape offer a new approach to the diagnosis and staging of disease. Although the methods developed under the current report must be tested against a new series of cases, initial results are promising.

    AB - Rationale and Objectives. Malignancy provokes regional changes to vessel shape. Characteristic vessel tortuosity abnormalities appear early during tumor development, affect initially healthy vessels, spread beyond the confines of tumor margins, and do not simply mirror tissue perfusion. The ability to detect and quantify tortuosity abnormalities on high-resolution magnetic resonance angiography (MRA) images offers a new approach to the noninvasive diagnosis of malignancy. This report evaluates a computerized, statistical method of analyzing the shapes of vessels extracted from MRA in diagnosing cancer. Materials and Methods. The regional vasculature of 34 healthy subjects was compared with the tumor-associated vasculature of 30 brain tumors before surgical resection. The operator performing the analysis was blinded to the diagnosis. Vessels were segmented from an MRA of each subject, a region of interest was defined in each tumor patient and was mapped to all healthy controls, and a statistical analysis of vessel shape measures was then performed over the region of interest. Many difficult cases were included, such as pinpoint, hemorrhagic, and irradiated tumors, as were hypervascular benign tumors. Tumors were identified as benign or malignant on the basis of histological evaluation. Results. A discriminant analysis performed at the study's conclusion successfully classified all but one of the 30 tumors as benign or malignant on the basis of vessel tortuosity. Conclusions. Quantitative, statistical measures of vessel shape offer a new approach to the diagnosis and staging of disease. Although the methods developed under the current report must be tested against a new series of cases, initial results are promising.

    KW - Blood vessels

    KW - Brain tumor

    KW - Cancer

    KW - Computer

    KW - MRA

    KW - Tortuosity

    UR - http://www.scopus.com/inward/record.url?scp=25144506525&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=25144506525&partnerID=8YFLogxK

    U2 - 10.1016/j.acra.2005.05.027

    DO - 10.1016/j.acra.2005.05.027

    M3 - Article

    VL - 12

    SP - 1232

    EP - 1240

    JO - Academic Radiology

    JF - Academic Radiology

    SN - 1076-6332

    IS - 10

    ER -