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Breast imaging

This section aims to publish articles related to the development, evaluation, and use of imaging techniques and image processing tools to diagnose and manage diseases of the breast tissue. 

  1. Content type: Research article

    Computer-aided diagnosis (CAD) in the medical field has received more and more attention in recent years. One important CAD application is to detect and classify breast lesions in ultrasound images. Traditiona...

    Authors: Zhantao Cao, Lixin Duan, Guowu Yang, Ting Yue and Qin Chen

    Citation: BMC Medical Imaging 2019 19:51

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  2. Content type: Research article

    The aim of our study was to identify the factors and causes associated with non-detection for second breast cancers on screening mammography in women with a personal history of early-stage breast cancer.

    Authors: Yoo Kyung Yeom, Eun Young Chae, Hak Hee Kim, Joo Hee Cha, Hee Jung Shin and Woo Jung Choi

    Citation: BMC Medical Imaging 2019 19:2

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  3. Content type: Research article

    We investigated the radiologic and clinical findings of radial scar and complex sclerosing lesions, and evaluated the rate of pathologic upgrade and predicting factors.

    Authors: Su Min Ha, Joo Hee Cha, Hee Jung Shin, Eun Young Chae, Woo Jung Choi, Hak Hee Kim and Ha-Yeon Oh

    Citation: BMC Medical Imaging 2018 18:39

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  4. Content type: Research article

    Approximately 10% of all MRI-guided vacuum-assisted breast biopsies (MR-VAB) are histologically classified as B3 lesions. In most of these cases surgical excision is recommended. The aim of our study was to ev...

    Authors: H. Preibsch, L. K. Wanner, A. Staebler, M. Hahn and K. C. Siegmann-Luz

    Citation: BMC Medical Imaging 2018 18:27

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  5. Content type: Research article

    Obesity and high radiologic breast density independently increase breast cancer risk. We evaluated the effect of surgical weight loss on mammographic density (MD).

    Authors: Natalia Partain, Ali Mokdad, Nancy Puzziferri, Jessica Porembka, Stephen Seiler, Alana Christie, Deborah Farr, Aeisha Rivers, A. Marilyn Leitch, Rachel Wooldridge, James Huth and Roshni Rao

    Citation: BMC Medical Imaging 2018 18:10

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  6. Content type: Research article

    The aim of this study was to use texture analysis (TA) of breast magnetic resonance (MR) images to assist in differentiating estrogen receptor (ER) positive breast cancer molecular subtypes.

    Authors: Kirsi Holli-Helenius, Annukka Salminen, Irina Rinta-Kiikka, Ilkka Koskivuo, Nina Brück, Pia Boström and Riitta Parkkola

    Citation: BMC Medical Imaging 2017 17:69

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  7. Content type: Technical advance

    Receiving real-time information on tissue properties while performing biopsy procedures has the potential of improving biopsy accuracy. The study goal was to test the ability of a miniature flexible Radio-Freq...

    Authors: Zvi Kaufman, Haim Paran, Ilana Haas, Patricia Malinger, Tania Zehavi, Tamar Karni, Izhak Pappo, Judith Sandbank, Judith Diment and Tanir Allweis

    Citation: BMC Medical Imaging 2016 16:57

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  8. Content type: Research article

    The current gold standard for preoperative perforator mapping in breast reconstruction with a DIEP flap is CT angiography (CTA). Dynamic infrared thermography (DIRT) is an imaging method that does not require ...

    Authors: Sven Weum, James B. Mercer and Louis de Weerd

    Citation: BMC Medical Imaging 2016 16:43

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  9. Content type: Research article

    The staging of axillary lymph nodes is critical to the management and prognosis of breast cancer, the most frequent cancer in females. Neoadjuvant therapy and lymph node dissection are recommended when maligna...

    Authors: Caroline De Coninck, Jean-Christophe Noël, Rachel Boutemy and Philippe Simon

    Citation: BMC Medical Imaging 2016 16:13

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