Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline

Journals

Article Types

Countries / Regions

Search Results (6)

Search Parameters:
Authors = Giovanna Romanucci ORCID = 0000-0003-2132-0217

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
10 pages, 5992 KiB  
Article
Comparison of Visual and Quantra Software Mammographic Density Assessment According to BI-RADS® in 2D and 3D Images
by Francesca Morciano, Cristina Marcazzan, Rossella Rella, Oscar Tommasini, Marco Conti, Paolo Belli, Andrea Spagnolo, Andrea Quaglia, Stefano Tambalo, Andreea Georgiana Trisca, Claudia Rossati, Francesca Fornasa and Giovanna Romanucci
J. Imaging 2024, 10(9), 238; https://doi.org/10.3390/jimaging10090238 - 23 Sep 2024
Viewed by 1371
Abstract
Mammographic density (MD) assessment is subject to inter- and intra-observer variability. An automated method, such as Quantra software, could be a useful tool for an objective and reproducible MD assessment. Our purpose was to evaluate the performance of Quantra software in assessing MD, [...] Read more.
Mammographic density (MD) assessment is subject to inter- and intra-observer variability. An automated method, such as Quantra software, could be a useful tool for an objective and reproducible MD assessment. Our purpose was to evaluate the performance of Quantra software in assessing MD, according to BI-RADS® Atlas Fifth Edition recommendations, verifying the degree of agreement with the gold standard, given by the consensus of two breast radiologists. A total of 5009 screening examinations were evaluated by two radiologists and analysed by Quantra software to assess MD. The agreement between the three assigned values was expressed as intraclass correlation coefficients (ICCs). The agreement between the software and the two readers (R1 and R2) was moderate with ICC values of 0.725 and 0.713, respectively. A better agreement was demonstrated between the software’s assessment and the average score of the values assigned by the two radiologists, with an index of 0.793, which reflects a good correlation. Quantra software appears a promising tool in supporting radiologists in the MD assessment and could be part of a personalised screening protocol soon. However, some fine-tuning is needed to improve its accuracy, reduce its tendency to overestimate, and ensure it excludes high-density structures from its assessment. Full article
Show Figures

Figure 1

32 pages, 41999 KiB  
Review
Special Types of Breast Cancer: Clinical Behavior and Radiological Appearance
by Marco Conti, Francesca Morciano, Silvia Amodeo, Elisabetta Gori, Giovanna Romanucci, Paolo Belli, Oscar Tommasini, Francesca Fornasa and Rossella Rella
J. Imaging 2024, 10(8), 182; https://doi.org/10.3390/jimaging10080182 - 29 Jul 2024
Cited by 3 | Viewed by 5142
Abstract
Breast cancer is a complex disease that includes entities with different characteristics, behaviors, and responses to treatment. Breast cancers are categorized into subgroups based on histological type and grade, and these subgroups affect clinical presentation and oncological outcomes. The subgroup of “special types” [...] Read more.
Breast cancer is a complex disease that includes entities with different characteristics, behaviors, and responses to treatment. Breast cancers are categorized into subgroups based on histological type and grade, and these subgroups affect clinical presentation and oncological outcomes. The subgroup of “special types” encompasses all those breast cancers with insufficient features to belong to the subgroup “invasive ductal carcinoma not otherwise specified”. These cancers account for around 25% of all cases, some of them having a relatively good prognosis despite high histological grade. The purpose of this paper is to review and illustrate the radiological appearance of each special type, highlighting insights and pitfalls to guide breast radiologists in their routine work. Full article
Show Figures

Figure 1

9 pages, 1317 KiB  
Article
Tomosynthesis-Detected Architectural Distortions: Correlations between Imaging Characteristics and Histopathologic Outcomes
by Giovanna Romanucci, Francesca Fornasa, Andrea Caneva, Claudia Rossati, Marta Mandarà, Oscar Tommasini and Rossella Rella
J. Imaging 2023, 9(5), 103; https://doi.org/10.3390/jimaging9050103 - 19 May 2023
Cited by 5 | Viewed by 2739
Abstract
Objective: to determine the positive predictive value (PPV) of tomosynthesis (DBT)-detected architectural distortions (ADs) and evaluate correlations between AD’s imaging characteristics and histopathologic outcomes. Methods: biopsies performed between 2019 and 2021 on ADs were included. Images were interpreted by dedicated breast imaging radiologists. [...] Read more.
Objective: to determine the positive predictive value (PPV) of tomosynthesis (DBT)-detected architectural distortions (ADs) and evaluate correlations between AD’s imaging characteristics and histopathologic outcomes. Methods: biopsies performed between 2019 and 2021 on ADs were included. Images were interpreted by dedicated breast imaging radiologists. Pathologic results after DBT-vacuum assisted biopsy (DBT-VAB) and core needle biopsy were compared with AD detected by DBT, synthetic2D (synt2D) and ultrasound (US). Results: US was performed to assess a correlation for ADs in all 123 cases and a US correlation was identified in 12/123 (9.7%) cases, which underwent US-guided core needle biopsy (CNB). The remaining 111/123 (90.2%) ADs were biopsied under DBT guidance. Among the 123 ADs included, 33/123 (26.8%) yielded malignant results. The overall PPV for malignancy was 30.1% (37/123). The imaging-specific PPV for malignancy was 19.2% (5/26) for DBT-only ADs, 28.2% (24/85) for ADs visible on DBT and synth2D mammography and 66.7% (8/12) for ADs with a US correlation with a statistically significant difference among the three groups (p = 0.01). Conclusions: DBT-only ADs demonstrated a lower PPV of malignancy when compared with syntD mammography, and DBT detected ADs but not low enough to avoid biopsy. As the presence of a US correlate was found to be related with malignancy, it should increase the radiologist’s level of suspicion, even when CNB returned a B3 result. Full article
(This article belongs to the Topic Medical Image Analysis)
Show Figures

Figure 1

17 pages, 8379 KiB  
Review
Angiosarcoma of the Breast: Overview of Current Data and Multimodal Imaging Findings
by Marco Conti, Francesca Morciano, Claudia Rossati, Elisabetta Gori, Paolo Belli, Francesca Fornasa, Giovanna Romanucci and Rossella Rella
J. Imaging 2023, 9(5), 94; https://doi.org/10.3390/jimaging9050094 - 30 Apr 2023
Cited by 11 | Viewed by 7303
Abstract
Angiosarcoma of the breast is a rare breast cancer, which can arise de novo (primary breast angiosarcoma, PBA) or as a secondary malignancy (secondary breast angiosarcoma, SBA) as a result of a biological insult. In the latter case, it is usually diagnosed in [...] Read more.
Angiosarcoma of the breast is a rare breast cancer, which can arise de novo (primary breast angiosarcoma, PBA) or as a secondary malignancy (secondary breast angiosarcoma, SBA) as a result of a biological insult. In the latter case, it is usually diagnosed in patients with a previous history of radiation therapy following a conserving treatment for breast cancer. Over the years, the advances in early diagnosis and treatment of breast cancer, with increasing use of breast-conserving surgery and radiation therapy (instead of radical mastectomy), brought about an increased incidence of the secondary type. PBA and SBA have different clinical presentations and often represent a diagnostic challenge due to the nonspecific imaging findings. The purpose of this paper is to review and describe the radiological features of breast angiosarcoma, both in conventional and advanced imaging to guide radiologists in the diagnosis and management of this rare tumor. Full article
Show Figures

Figure 1

18 pages, 4972 KiB  
Review
Multiple Papillomas of the Breast: A Review of Current Evidence and Challenges
by Rossella Rella, Giovanna Romanucci, Damiano Arciuolo, Assunta Scaldaferri, Enida Bufi, Sebastiano Croce, Andrea Caulo and Oscar Tommasini
J. Imaging 2022, 8(7), 198; https://doi.org/10.3390/jimaging8070198 - 13 Jul 2022
Cited by 5 | Viewed by 8892
Abstract
Objectives: To conduct a review of evidence about papillomatosis/multiple papillomas (MP), its clinical and imaging presentation, the association between MP and malignancy and the management strategies that follow. Methods: A computerized literature search using PubMed and Google Scholar was performed up to January [...] Read more.
Objectives: To conduct a review of evidence about papillomatosis/multiple papillomas (MP), its clinical and imaging presentation, the association between MP and malignancy and the management strategies that follow. Methods: A computerized literature search using PubMed and Google Scholar was performed up to January 2021 with the following search strategy: “papilloma” OR “intraductal papilloma” OR “intraductal papillary neoplasms” OR “papillomatosis” OR “papillary lesion” AND “breast”. Two authors independently conducted a search, screening and extraction of data from the eligible studies. Results: Of the 1881 articles identified, 29 articles met the inclusion criteria. The most common breast imaging methods (mammography, ultrasound) showed few specific signs of MP, and evidence about magnetic resonance imaging were weak. Regarding the association between MP and malignancy, the risk of underestimation to biopsy methods and the frequent coexistence of MP and other high-risk lesions needs to be taken into consideration. Results about the risk of developing breast carcinoma of patients affected by MP were inconsistent. Conclusions: MP is a challenge for all breast specialists, and familiarity with its features is required to make the correct diagnosis. Further studies are needed to evaluate the factors to take into account to plan management, time of follow-up and imaging methods. Full article
Show Figures

Figure 1

8 pages, 1304 KiB  
Article
Lobular Breast Cancer Conspicuity on Digital Breast Tomosynthesis Compared to Synthesized 2D Mammography: A Multireader Study
by Giovanna Romanucci, Lisa Zantedeschi, Anna Ventriglia, Sara Mercogliano, Maria Vittoria Bisighin, Loredana Cugola, Paola Bricolo, Rossella Rella, Marta Mandarà, Chiara Benassuti, Andrea Caneva and Francesca Fornasa
J. Imaging 2021, 7(9), 185; https://doi.org/10.3390/jimaging7090185 - 12 Sep 2021
Cited by 4 | Viewed by 4395
Abstract
Objectives: To compare the conspicuity of lobular breast cancers at digital breast tomosynthesis (DBT) versus synthesized 2D mammography (synt2D). Materials and methods: Seventy-six women (mean age 61.2 years, range 50–74 years) submitted to biopsy in our institution, from 2019 to 2021, with proven [...] Read more.
Objectives: To compare the conspicuity of lobular breast cancers at digital breast tomosynthesis (DBT) versus synthesized 2D mammography (synt2D). Materials and methods: Seventy-six women (mean age 61.2 years, range 50–74 years) submitted to biopsy in our institution, from 2019 to 2021, with proven invasive lobular breast cancer (ILC) were enrolled in this retrospective study. The participants underwent DBT and synt2D. Five breast radiologists, with different years of experience in breast imaging, independently assigned a conspicuity score (ordinal 6-point scale) to DBT and synt2D. Lesion conspicuity was compared, for each reader, between the synt2D overall conspicuity interpretation and DBT overall conspicuity interpretation using a Wilcoxon matched pairs test. Results: A total of 50/78 (64%) cancers were detected on both synt2D and DBT by all the readers, while 28/78 (26%) cancers where not recognized by at least one reader on synt2D. For each reader, in comparison with synt2D, DBT increased significantly the conspicuity of ILC (p < 0.0001). The raw proportion of high versus low conspicuity by modality confirmed that cancers were more likely to have high conspicuity at DBT than synt2D. Conclusions: ILCs were more likely to have high conspicuity at DBT than at synt2D, increasing the chances of the detection of ILC breast cancer. Full article
(This article belongs to the Special Issue X-ray Digital Radiography and Computed Tomography)
Show Figures

Figure 1

Back to TopTop