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Women’s Special Issue Series: Breast Imaging—Update and New Approaches toward...
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Women’s Special Issue Series: Breast Imaging—Update and New Approaches toward Diagnosis and Treatment

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: 30 April 2024 | Viewed by 7145

Special Issue Editors

Prof. Dr. Katja Pinker-Domenig

E-Mail Website
Guest Editor
Memorial Sloan Kettering Cancer Center, Department of Radiology, Breast Imaging Service, 300 E 66th St., New York, NY 10065, USA
Interests: breast cancer; breast imaging; women's health; PET/MRI; MRI; DWI; hybrid imaging; radiomics; radiogenomics
Special Issues, Collections and Topics in MDPI journals
Dr. Masako Kataoka

E-Mail Website
Guest Editor
Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Shogoin-kawaharacho, Sakyo-ku, Kyoto 606-8507, Japan
Interests: breast imaging; with a focus on breast MRI (Ultrafast DCE MRI and DWI); dedicated breast PET

Special Issue Information

Dear Colleagues,

Breast cancer is the cause of most female cancer deaths in the Western world, with early detection of cancer being pivotal for improved prognosis and survival. Imaging plays a key role in breast cancer detection and staging, and helps guiding treatment decisions. Currently established breast-imaging modalities comprise mammography, digital breast tomosynthesis (DBT), ultrasound, contrast-enhanced mammography (CEM), and magnetic resonance imaging (MRI). With recent significant advances in techniques and data analysis, such as the possibility to enhance medical imaging, other modalities are in active development and evaluation. This Special Issue of Diagnostics with a focus on “Breast Imaging: update and new approaches toward diagnosis and treatment” invites submissions relating to recent advances, current possibilities and emerging techniques in breast imaging. We welcome submissions from all authors, irrespective of gender.

Prof. Dr. Katja Pinker-Domenig
Dr. Masako Kataoka
Guest Editors

Women’s Special Issue Series

This Special Issue is part of Diagnostics's Women’s Special Issue Series, hosted by women editors for women researchers. The Series advocates the advancement of women in science. We invite contributions to the Special Issue whose lead authors identify as women. The submission of articles with all-women authorship is especially encouraged. However, we do welcome articles from all authors, irrespective of gender.

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (4 papers)

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21 pages, 2404 KiB  
Article
Magnetic Resonance Imaging in Breast Cancer Tissue In Vitro after PDT Therapy
by Dorota Bartusik-Aebisher, Wiktoria Mytych, Klaudia Dynarowicz, Angelika Myśliwiec, Agnieszka Machorowska-Pieniążek, Grzegorz Cieślar, Aleksandra Kawczyk-Krupka and David Aebisher
Diagnostics 2024, 14(5), 563; https://doi.org/10.3390/diagnostics14050563 - 06 Mar 2024
Viewed by 683
Abstract
Photodynamic therapy (PDT) is increasingly used in modern medicine. It has found application in the treatment of breast cancer. The most common cancer among women is breast cancer. We collected cancer cells from the breast from the material received after surgery. We focused [...] Read more.
Photodynamic therapy (PDT) is increasingly used in modern medicine. It has found application in the treatment of breast cancer. The most common cancer among women is breast cancer. We collected cancer cells from the breast from the material received after surgery. We focused on tumors that were larger than 10 mm in size. Breast cancer tissues for this quantitative non-contrast magnetic resonance imaging (MRI) study could be seen macroscopically. The current study aimed to present findings on quantitative non-contrast MRI of breast cancer cells post-PDT through the evaluation of relaxation times. The aim of this work was to use and optimize a 1.5 T MRI system. MRI tests were performed using a clinical scanner, namely the OPTIMA MR360 manufactured by General Electric HealthCare. The work included analysis of T1 and T2 relaxation times. This analysis was performed using the MATLAB package (produced by MathWorks). The created application is based on medical MRI images saved in the DICOM3.0 standard. T1 and T2 measurements were subjected to the Shapiro–Wilk test, which showed that both samples belonged to a normal distribution, so a parametric t-test for dependent samples was used to test for between-sample variability. The study included 30 sections tested in 2 stages, with consistent technical parameters. For T1 measurements, 12 scans were performed with varying repetition times (TR) and a constant echo time (TE) of 3 ms. For T2 measurements, 12 scans were performed with a fixed repetition time of 10,000 ms and varying echo times. After treating samples with PpIX disodium salt and bubbling with pure oxygen, PDT irradiation was applied. The cell relaxation time after therapy was significantly shorter than the cell relaxation time before PDT. The cells were exposed to PpIX disodium salt as the administered pharmacological substance. The study showed that the therapy significantly affected tumor cells, which was confirmed by a significant reduction in tumor cell relaxation time on the MRI results. Full article
(This article belongs to the Special Issue Women’s Special Issue Series: Breast Imaging—Update and New Approaches toward Diagnosis and Treatment)
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13 pages, 908 KiB  
Article
Comparison of Ultrafast Dynamic Contrast-Enhanced (DCE) MRI with Conventional DCE MRI in the Morphological Assessment of Malignant Breast Lesions
by Akane Ohashi, Masako Kataoka, Mami Iima, Maya Honda, Rie Ota, Yuta Urushibata, Marcel Dominik Nickel, Masakazu Toi, Sophia Zackrisson and Yuji Nakamoto
Diagnostics 2023, 13(6), 1105; https://doi.org/10.3390/diagnostics13061105 - 15 Mar 2023
Cited by 2 | Viewed by 1986
Abstract
Ultrafast (UF) dynamic contrast-enhanced (DCE)-MRI offers the potential for a faster and, therefore, less expensive examination of breast lesions; however, there are no reports that have evaluated whether UF DCE-MRI can be used the same as conventional DCE-MRI in the reading of morphological [...] Read more.
Ultrafast (UF) dynamic contrast-enhanced (DCE)-MRI offers the potential for a faster and, therefore, less expensive examination of breast lesions; however, there are no reports that have evaluated whether UF DCE-MRI can be used the same as conventional DCE-MRI in the reading of morphological information. This study evaluated the agreement in morphological information obtained from malignant breast mass lesions between UF DCE-MRI and conventional DCE-MRI. UF DCE-MRI data were obtained over the first 60 s post-contrast injection, followed by the conventional DCE images. Two readers evaluated the size and morphology of the lesions in the final phase of the UF DCE-MRI and the early phase of the conventional DCE-MRI. Inter-method agreement in morphological information was evaluated for the two readers using the intraclass correlation coefficient for size, and the kappa statistics for the morphological descriptors. Differences in the proportion of each descriptor were examined using Fisher’s test of independence. Most inter-method agreements were higher than substantial. UF DCE-MRI showed a circumscribed margin and homogeneous enhancement more often than conventional imaging. However, the percentages of readings showing the same morphology assessment between the UF DCE-MRI and conventional DCE-MRI were 71.2% (136/191) for Reader 1 and 69.1% (132/191) for Reader 2. We conclude that UF DCE-MRI may replace conventional DCE-MRI to evaluate the morphological information of malignant breast mass lesions. Full article
(This article belongs to the Special Issue Women’s Special Issue Series: Breast Imaging—Update and New Approaches toward Diagnosis and Treatment)
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16 pages, 2762 KiB  
Article
The Usefulness of Magnetic Resonance Imaging (MRI) for the Detection of Local Recurrence after Mastectomy with Reconstructive Surgery in Breast Cancer Patients
by Jeongmin Lee, Bong Joo Kang, Ga Eun Park and Sung Hun Kim
Diagnostics 2022, 12(9), 2203; https://doi.org/10.3390/diagnostics12092203 - 11 Sep 2022
Cited by 4 | Viewed by 2023
Abstract
The purpose of this study is to investigate the usefulness of magnetic resonance imaging (MRI) for the detection of local recurrence after nipple-sparing mastectomy (NSM) or skin-sparing mastectomy (SSM) with immediate reconstructive surgery for breast cancer. Two hundred and eighty-six NSM or SSM [...] Read more.
The purpose of this study is to investigate the usefulness of magnetic resonance imaging (MRI) for the detection of local recurrence after nipple-sparing mastectomy (NSM) or skin-sparing mastectomy (SSM) with immediate reconstructive surgery for breast cancer. Two hundred and eighty-six NSM or SSM procedures and immediate reconstruction cases between August 2015 and February 2020 were reviewed. The detectability rates of for local recurrence using MRI and ultrasound were assessed, and the characteristics of recurrent and primary cancers were evaluated. The patients with multifocal or multicentric primary cancer and a dense parenchymal pattern showed a higher recurrence rate (p < 0.001). A total of 22 cases showed recurrence, and due to multifocal recurrence, a total of 27 recurrent lesions were identified in the reconstructed breast, of which 12 were symptomatic and 15 were asymptomatic (p < 0.001). With the exception of skin recurrence (n = 6), MRI showed a significantly higher detectability rate (95.2%, 20 of 21) than ultrasound (38.1%, 8 of 21) for the recurrence of cancer in the reconstructed breast (p < 0.001), especially for small-sized (<1 cm) asymptomatic lesions. In addition, the mean recurrence interval of MRI-detected asymptomatic lesions was 21.7 months (SD ± 17.7), which was significantly longer than that of symptomatic recurrence. In conclusion, postoperative MRI can be useful for identifying small-sized (<1 cm) asymptomatic recurrence lesions in reconstructed breast tissue after NSM or SSM, which can be implemented within two years of surgery. Full article
(This article belongs to the Special Issue Women’s Special Issue Series: Breast Imaging—Update and New Approaches toward Diagnosis and Treatment)
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17 pages, 5058 KiB  
Systematic Review
Diagnostic Value of Superb Microvascular Imaging in Differentiating Benign and Malignant Breast Tumors: A Systematic Review and Meta-Analysis
by Jiaping Feng, Jianghao Lu, Chunchun Jin, Yihao Chen, Sihan Chen, Guoqiang Guo and Xuehao Gong
Diagnostics 2022, 12(11), 2648; https://doi.org/10.3390/diagnostics12112648 - 31 Oct 2022
Cited by 5 | Viewed by 1777
Abstract
Purpose: We performed a systematic review and meta-analysis of studies that investigated the diagnostic performance of Superb Microvascular Imaging (SMI) in differentiating between benign and malignant breast tumors. Methods: Studies published between January 2010 and March 2022 were retrieved by online literature search [...] Read more.
Purpose: We performed a systematic review and meta-analysis of studies that investigated the diagnostic performance of Superb Microvascular Imaging (SMI) in differentiating between benign and malignant breast tumors. Methods: Studies published between January 2010 and March 2022 were retrieved by online literature search conducted in PubMed, Embase, Cochrane Library, Web of Science, China Biology Medicine Disc, China National Knowledge Infrastructure, Wanfang, and Vip databases. Pooled sensitivity, specificity, and diagnostic odd ratios were calculated using Stata software 15.0. Heterogeneity among the included studies was assessed using I2 statistic and Q test. Meta-regression and subgroup analyses were conducted to investigate potential sources of heterogeneity. Influence analysis was conducted to determine the robustness of the pooled conclusions. Deeks’ funnel plot asymmetry test was performed to assess publication bias. A summary receiver operating characteristic curve (SROC) was constructed. Results: Twenty-three studies involving 2749 breast lesions were included in our meta-analysis. The pooled sensitivity and specificity were 0.80 (95% confidence interval [CI], 0.77–0.84, inconsistency index [I2] = 28.32%) and 0.84 (95% CI, 0.79–0.88, I2 = 89.36%), respectively. The pooled diagnostic odds ratio was 19.95 (95% CI, 14.84–26.82). The area under the SROC (AUC) was 0.85 (95% CI, 0.81–0.87). Conclusion: SMI has a relatively high sensitivity, specificity, and accuracy for differentiating between benign and malignant breast lesions. It represents a promising supplementary technique for the diagnosis of breast neoplasms. Full article
(This article belongs to the Special Issue Women’s Special Issue Series: Breast Imaging—Update and New Approaches toward Diagnosis and Treatment)
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