Literature DB >> 11045700

Low attenuation intratumoral matrix: CT and pathologic correlation.

H Miyake1, Y Hori, S Dono, H Mori.   

Abstract

Diffuse low attenuation lesions on CT scans are caused by various pathologic conditions, especially differences of the intratumoral matrix. Low attenuation on CT scans was more defined than fat density and less than muscle density, the so-called near water density. We present representative cases of low attenuation lesions in correlation with their pathologic features. Intratumoral matrix showing diffuse low attenuation on CT was classified into eight groups: fatty degeneration/fatty metamorphosis, intracellular high lipid content, large amounts of lipid-laden macrophages, mucin-producing tumor, myxoid degeneration/myxoid matriX, massive necrosis, true cystic growth of the neoplasm, and massive edema. Lesions with fatty degeneration or intracellular high lipid content could be shown as negative CT attenuation. Knowledge of the neoplasms or disease processes that tend to have such pathology will lead to correct interpretation of CT scans of various organs.

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Year:  2000        PMID: 11045700     DOI: 10.1097/00004728-200009000-00018

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  3 in total

1.  Mucin-producing carcinoma of the gallbladder: evaluation by magnetic resonance cholangiopancreatography in three cases.

Authors:  Seiji Ishiguro; Hiroaki Onaya; Minoru Esaki; Tomoo Kosuge; Nobuyoshi Hiraoka; Yasunori Mizuguchi; Yasuaki Arai
Journal:  Korean J Radiol       Date:  2012-08-28       Impact factor: 3.500

2.  Correlation between uterine fibroids with various magnetic resonance imaging features and therapeutic effects of high-intensity focused ultrasound ablation.

Authors:  Hailing Cheng; Chen Wang; Jun Tian
Journal:  Pak J Med Sci       Date:  2015 Jul-Aug       Impact factor: 1.088

3.  A Novel Radiotherapeutic Approach to Treat Bulky Metastases Even From Cutaneous Squamous Cell Carcinoma: Its Rationale and a Look at the Reliability of the Linear-Quadratic Model to Explain Its Radiobiological Effects.

Authors:  Gianluca Ferini; Paolo Castorina; Vito Valenti; Salvatore Ivan Illari; Ilias Sachpazidis; Luigi Castorina; Maurizio Marrale; Stefano Pergolizzi
Journal:  Front Oncol       Date:  2022-02-23       Impact factor: 6.244

  3 in total

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