| Usefulness of Systemic Computed Tomography (CT) Scanning in the Detection of Malignant Lymphadenopathy. | |
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MedLine Citation:
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PMID: 22033453 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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We developed a prediction model to distinguish between malignant and nonmalignant lymphadenopathies. We first analyzed clinical features of 222 patients with lymphadenopathy (161 malignant and 61 nonmalignant) in the derivation group. Through logistic regression analysis we identified 6 covariates that independently predict malignancy: age (X1), abdominal lymphadenopathy (X2), lymphadenopathy of the other sites (X3), number of enlarged lymph node regions (X4), absence of fever (X5), and largest lymph node size (X6). We determined the formula as follows: predictive score = -2.3 + x1 + 2.8x2 + 1.3x3 + 1.6x4 - 2.2x5 + 1.8x6.A higher score correlated with increased likelihood of malignancy. With the cutoff value of 0.4, the sensitivity and specificity of the model were 91.9% and 77.0%, respectively. The validation study using 117 cases (82 malignant and 35 nonmalignant) yielded 90.2% sensitivity and 68.6% specificity. A maximum lymph node size of less than 2.0 cm on systemic computed tomography (CT) scanning indicated a low probability of malignant lymphadenopathy. In this model, 4 of the 6 covariates were obtained by CT scanning, which strongly indicates the usefulness of initial evaluation with systemic CT scanning in the detection of malignant lymphadenopathy. |
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Authors:
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Kunimoto Ichikawa; Koichi Sugimoto; Yasushi Isobe; Ryohei Kuwatsuru; Makoto Sasaki; Itsuko Horiguchi; Norio Komatsu |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-10-25 |
Journal Detail:
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Title: Medicine Volume: - ISSN: 1536-5964 ISO Abbreviation: - Publication Date: 2011 Oct |
Date Detail:
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Created Date: 2011-10-28 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 2985248R Medline TA: Medicine (Baltimore) Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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From Division of Hematology (KI, KS, YI, MS, NK), Department of Internal Medicine; Department of Radiology (RK); and Department of Public Health (IH); Juntendo University School of Medicine, Tokyo, Japan. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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