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Special Issue “Advancement in Breast Diagnostic and Interventional Radiology”

Graziella Di Grezia
Scientific Responsible of Breast Screening Program, Radiology Division, “Criscuoli-Frieri” Hospital, 83054 Sant’ Angelo dei Lombardi, AV, Italy
Diagnostics 2022, 12(1), 217;
Submission received: 10 January 2022 / Accepted: 13 January 2022 / Published: 17 January 2022
(This article belongs to the Special Issue Advancement in Breast Diagnostic and Interventional Radiology)
A multimodality approach in breast imaging is a unique solution to guarantee to the patient a complete diagnosis [1], the best therapeutical approach and an appropriate and personalized follow-up in relation to breast density [2].
In this Special Issue, we have presented different topics of the breast diagnosis, including new methods in experiments and information on less frequent cases (such as male breast carcinoma) [3,4].
The purpose of the issue is to analyze the state of the art of breast imaging for subspecialized radiologists, but also for non-dedicated medical staff, in order to strengthening the concept that breast imaging is a specific area that requires specific training [5].
Some authors published manuscript regarding digital breast tomosynthesis (DBT) in the analysis of nipple sparing.
Even though magnetic resonance is the most used method in these cases, DBT-galactography increases the sensitivity and specificity of lesion detection by improving the image quality [6].
Another interesting article is about the radiomic analysis of features, which results from contrast-enhanced spectral mammography in the differential diagnosis between benign and malignant lesions [7,8].
In addition to radiomic analysis, some authors have defined a radiomics score based on multiregional diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) features combined with clinical factors for evaluating HER-2 2+ status of breast cancer [9].
DWI is used simultaneously with multi-slice (SMS) imaging (SMS rs-EPI) for the differentiation of breast malignant and benign lesions on a 3T MR scanner with a higher spatial resolution and slight reduction of scan time and with a better differentiation between malignant and benign lesions of the breast [10].
Experimental models of new methods such as MammoWave are one of the new efforts to improve breast imaging. It is very difficult to identify an option that can support methods with high diagnostic accuracy, However, experiments with results that are negative or not positive, as well as those that end in failure, are part of the development and allow research to continue [11].


This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.


  1. Di Grezia, G.; Gatta, G.; Brunese, L.; Falco, G. State of the art in Integrated Breast Imaging. BioMed Res. Int. 2019, 2019, 7596059. [Google Scholar] [CrossRef]
  2. Sardu, C.; Gatta, G.; Pieretti, G.; Viola, L.; Sacra, C.; Di Grezia, G. Pre-Menopausal Breast Fat Density Might Predict MACE During 10 Years of Follow-Up: The BRECARD Study. J. Am. Coll. Cardiol. Cardiovasc. Imaging 2021, 14, 426–438. [Google Scholar] [CrossRef] [PubMed]
  3. Tari, D.U.; Morelli, L.; Guida, A.; Pinto, F. Male Breast Cancer Review. A Rare Case of Pure DCIS: Imaging Protocol, Radiomics and Management. Diagnostics 2021, 11, 2199. [Google Scholar] [CrossRef] [PubMed]
  4. Di Grezia, G.; Romano, T.; De Francesco, F.; Somma, F.; Rea, G.; Grassi, R.; Gatta, G. Breast ultrasound in the management of gynecomastia in Peutz-Jeghers Syndrome:a case report. J. Med. Case Rep. 2014, 8, 440. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Di Grezia, G.; Somma, F.; Serra, N.; Reginelli, A.; Cappabianca, S.; Grassi, R.; Gatta, G. Reducing Costs of Breast Examination: Ultrasound Performance and Inter-Observer Variability of Expert Radiologists Versus Residents. Cancer Invest. 2016, 34, 355–360. [Google Scholar] [CrossRef] [PubMed]
  6. Tao, J.; Liao, H.; Liu, Y.; Peng, Q.; Zhu, W.; Peng, S.; Liu, J.; Chen, L.; Yang, F. Evaluation of Breast Galactography Using Digital Breast Tomosynthesis: A Clinical Exploratory Study. Diagnostics 2021, 11, 2060. [Google Scholar] [CrossRef] [PubMed]
  7. Massafra, R.; Bove, S.; Lorusso, V.; Biafora, A.; Comes, M.C.; Didonna, V.; Diotaiuti, S.; Fanizzi, A.; Nardone, A.; Nolasco, A.; et al. Radiomic Feature Reduction Approach to Predict Breast Cancer by Contrast-Enhanced Spectral Mammography Images. Diagnostics 2021, 11, 684. [Google Scholar] [CrossRef] [PubMed]
  8. Falco, G.; Mele, S.; Zizzo, M.; Di Grezia, G.; Cecinato, P.; Besutti, G.; Coiro, S.; Gatta, G.; Vacondio, R.; Ferrari, G. Colonic metastasis from breast carcinoma detection by CESM and PET/CT: A case report. Medicine 2018, 97, e10888. [Google Scholar] [CrossRef] [PubMed]
  9. Li, C.; Yin, J. Radiomics Nomogram Based on Radiomics Score from Multiregional Diffusion-Weighted MRI and Clinical Factors for Evaluating HER-2 2+ Status of Breast Cancer. Diagnostics 2021, 11, 1491. [Google Scholar] [CrossRef] [PubMed]
  10. Peng, S.; Guo, Y.; Zhang, X.; Tao, J.; Liu, J.; Zhu, W.; Chen, L.; Yang, F. High-Resolution DWI with Simultaneous Multi-Slice Readout-Segmented Echo Planar Imaging for the Evaluation of Malignant and Benign Breast Lesions. Diagnostics 2021, 11, 2273. [Google Scholar] [CrossRef] [PubMed]
  11. Rana, S.P.; Dey, M.; Loretoni, R.; Duranti, M.; Sani, L.; Vispa, A.; Ghavami, M.; Dudley, S.; Tiberi, G. Radial Basis Function for Breast Lesion Detection from MammoWave Clinical Data. Diagnostics 2021, 11, 1930. [Google Scholar] [CrossRef] [PubMed]
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Di Grezia, G. Special Issue “Advancement in Breast Diagnostic and Interventional Radiology”. Diagnostics 2022, 12, 217.

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Di Grezia G. Special Issue “Advancement in Breast Diagnostic and Interventional Radiology”. Diagnostics. 2022; 12(1):217.

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Di Grezia, Graziella. 2022. "Special Issue “Advancement in Breast Diagnostic and Interventional Radiology”" Diagnostics 12, no. 1: 217.

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