Literature DB >> 18492919

MDCT of the breast.

Anna Perrone1, Luigi Lo Mele, Simona Sassi, Marina Marini, Lorenzo Testaverde, Luciano Izzo, Mario Marini.   

Abstract

OBJECTIVE: The purpose of this study was to evaluate retrospectively the accuracy of low-dose MDCT in the differentiation of breast lesions suspected on mammography and sonography.
MATERIALS AND METHODS: MDCT was performed on 61 patients with mammographic or sonographic findings suggestive of breast cancer who could not undergo MR mammography. For each lesion, morphologic features, attenuation, and time-attenuation curve pattern were evaluated. The 1-minute cut point of attenuation was analyzed on the images. CT findings were compared with histopathologic results, which were the reference standard.
RESULTS: Forty-seven of 61 patients underwent surgery, and the pathologic findings revealed 27 malignant and 20 benign lesions. With CT 25 of 27 malignant lesions and all 20 benign lesions were diagnosed correctly. CT had a sensitivity of 92.6%, specificity of 100%, positive predictive value of 100%, negative predictive value of 90.9%, and accuracy of 95.74%. The cutoff attenuation value, which had the best validity for differentiating malignant and benign lesions, was calculated to be 90 H on the 1-minute images.
CONCLUSION: Our results confirm and strengthen the importance of all imaging parameters and not one in particular. Dynamic MDCT can be used in the evaluation of selected patients with suspected breast tumors.

Entities:  

Mesh:

Year:  2008        PMID: 18492919     DOI: 10.2214/AJR.07.3145

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  10 in total

1.  Contrast-enhanced dedicated breast CT: initial clinical experience.

Authors:  Nicolas D Prionas; Karen K Lindfors; Shonket Ray; Shih-Ying Huang; Laurel A Beckett; Wayne L Monsky; John M Boone
Journal:  Radiology       Date:  2010-09       Impact factor: 11.105

2.  The incidence and outcome of incidental breast lesions detected by computed tomography.

Authors:  A Hussain; A Gordon-Dixon; H Almusawy; P Sinha; A Desai
Journal:  Ann R Coll Surg Engl       Date:  2009-12-07       Impact factor: 1.891

3.  Dual-energy computed tomography for evaluation of breast cancer: value of virtual monoenergetic images reconstructed with a noise-reduced monoenergetic reconstruction algorithm.

Authors:  Kanako Okada; Megumi Matsuda; Takaharu Tsuda; Teruhito Kido; Akihiro Murata; Hikaru Nishiyama; Kanako Nishiyama; Haruna Yamasawa; Yoshiaki Kamei; Mie Kurata; Mana Fukushima; Riko Kitazawa; Teruhito Mochizuki
Journal:  Jpn J Radiol       Date:  2019-11-04       Impact factor: 2.374

Review 4.  Blind spots at oncological CT: lessons learned from PET/CT.

Authors:  Jacob Sosna; Steven J Esses; Nikolay Yeframov; Hanna Bernstine; Tamar Sella; Shifra Fraifeld; Jonathan B Kruskal; David Groshar
Journal:  Cancer Imaging       Date:  2012-08-10       Impact factor: 3.909

Review 5.  Intramammary Findings on CT of the Chest - a Review of Normal Anatomy and Possible Findings.

Authors:  Johannes Gossner
Journal:  Pol J Radiol       Date:  2016-09-02

6.  Patient-based 4D digital breast phantom for perfusion contrast-enhanced breast CT imaging.

Authors:  Marco Caballo; Ritse Mann; Ioannis Sechopoulos
Journal:  Med Phys       Date:  2018-09-19       Impact factor: 4.071

7.  Predictive Value of Preoperative Multidetector-Row Computed Tomography for Axillary Lymph Nodes Metastasis in Patients With Breast Cancer.

Authors:  Chun-Fa Chen; Yu-Ling Zhang; Ze-Long Cai; Shu-Ming Sun; Xiao-Feng Lu; Hao-Yu Lin; Wei-Quan Liang; Ming-Heng Yuan
Journal:  Front Oncol       Date:  2019-01-08       Impact factor: 6.244

8.  Evaluation of human epidermal growth factor receptor 2 status of breast cancer using preoperative multidetector computed tomography with deep learning and handcrafted radiomics features.

Authors:  Xiaojun Yang; Lei Wu; Ke Zhao; Weitao Ye; Weixiao Liu; Yingyi Wang; Jiao Li; Hanxiao Li; Xiaomei Huang; Wen Zhang; Yanqi Huang; Xin Chen; Su Yao; Zaiyi Liu; Changhong Liang
Journal:  Chin J Cancer Res       Date:  2020-04       Impact factor: 5.087

9.  Characterization of a murine xenograft model for contrast agent development in breast lesion malignancy assessment.

Authors:  Tsung-Hsien Yen; Gi-Da Lee; Jyn-Wen Chai; Jiunn-Wang Liao; Jia-Yu Lau; Li-Che Hu; Kuo-Chih Liao
Journal:  J Biomed Sci       Date:  2016-05-17       Impact factor: 8.410

10.  Differentiation of Malignant and Benign Incidental Breast Lesions Detected by Chest Multidetector-Row Computed Tomography: Added Value of Quantitative Enhancement Analysis.

Authors:  Yu-Pang Lin; Hsian-He Hsu; Kai-Hsiung Ko; Chi-Ming Chu; Yu-Ching Chou; Wei-Chou Chang; Tsun-Hou Chang
Journal:  PLoS One       Date:  2016-04-29       Impact factor: 3.240

  10 in total

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