Breast Cancer Prognosis in Young BRCA1/BRCA2 Mutation Carriers: A Retrospective Hospital-based Cohort Study.

Aim: Studies evaluating the prognostic impact of germline BRCA1/2 mutations (gBRCAm) in patients with breast cancer report conflicting results. Therefore, we aimed to investigate outcomes of patients with gBRCA mutations and early onset of breast cancer (<30 years) compared with those of noncarriers.

Materials And Methods: This retrospective study included 149 patients recruited between 2005 and 2019.

An infrequent case of retroperitoneal synovial sarcoma.

Synovial sarcoma (SS) is an uncommon malignant tumor, ranking third in prevalence within the soft tissue sarcomas group. The vast majority of synovial sarcomas are present in the extremities, with only 15% developing in the retroperitoneal space. Retroperitoneal synovial sarcoma (RSS) is an infrequent case of SS, with only about 20 cases reported in the literature.

Therapeutic impact of F-FDG PET/CT for initial staging in patients with clinical stage I and IIA, HER2-positive, or triple-negative breast cancer.

Purpose: While F-FDG PET/CT (FDG-PET/CT) is consensual for clinical stage ≥ IIB breast cancers (BC), its benefit for stage I or IIA HER2+ or triple-negative breast cancer (TNBC) patients lacks sufficient evidence. We reported a single-institution, retrospective study evaluating FDG-PET/CT impact on patient management and staging for stage I or IIA HER2+ or Triple-Negative BC.

Methods: Patients who underwent FDG-PET/CT staging before any treatment between January 2015 and December 2020 at Oscar Lambret Center were included.

[Contribution of whole-body MRI to the initial assessment of myxoid liposarcoma].

Introduction: Myxoid liposarcoma is a soft tissue sarcoma associated with multifocal metastases at diagnosis. These metastases are asymptomatic and occult on CT and FDG-PET and can alter the therapeutic management and prognosis. In this context, we evaluated the contribution of whole-body MRI to the initial workup of patients with myxoid liposarcoma.

Efficiency and Accuracy Evaluation of Multiple Diffusion-Weighted MRI Techniques Across Different Scanners.

Background: The choice between different diffusion-weighted imaging (DWI) techniques is difficult as each comes with tradeoffs for efficient clinical routine imaging and apparent diffusion coefficient (ADC) accuracy.

Purpose: To quantify signal-to-noise-ratio (SNR) efficiency, ADC accuracy, artifacts, and distortions for different DWI acquisition techniques, coils, and scanners.

Study Type: Phantom, in vivo intraindividual biomarker accuracy between DWI techniques and independent ratings.

[French breast cancer screening: What's the place of artificial intelligence?].

This paper deals with the place in 2021 of artificial intelligence for screening of breast cancer in France et discusses of the different types of use and their performance in the literature (Standalone, Augmented radiologist, triage). Moreover, this paper will give an overview of the potential applications of AI in the future (Personalized screening, prediction of interval cancers).

[Second reading in breast cancer screening program: State of knowledge and future].

Second reading is an important part of breast cancer organized screening program. Image quality control and detection of non-diagnosed cancer by first reader are the two goals of this process. In France, 6 % of all screening cancer are diagnosed by second reading, actually done on screen film.

Technical note: Unexpected external markers artifact in 3D k-space based parallel imaging turbo spin-echo magnetic resonance imaging.

Purpose: MRI for radiotherapy planning requires spatial referencing using immobilization devices and markers. Clinical images of a difficult-to-interpret artifact are presented, resembling a metastasis, which occurs when combining CAIPIRINHA k-space-based parallel imaging (PI), 3D distortion correction, and external markers.

Methods: A 3D variable flip angle Turbo Spin Echo sequence was used on a 1.

Breast nodule classification with two-dimensional ultrasound using Mask-RCNN ensemble aggregation.

Purpose: The purpose of this study was to create a deep learning algorithm to infer the benign or malignant nature of breast nodules using two-dimensional B-mode ultrasound data initially marked as BI-RADS 3 and 4.

Materials And Methods: An ensemble of mask region-based convolutional neural networks (Mask-RCNN) combining nodule segmentation and classification were trained to explicitly localize the nodule and generate a probability of the nodule to be malignant on two-dimensional B-mode ultrasound. These probabilities were aggregated at test time to produce final results.

Palpable Nodules After Autologous Fat Grafting in Breast Cancer Patients: Incidence and Impact on Follow-up.

Introduction: Autologous fat grafting (AFG) is a promising breast reconstruction technique, following surgery. However, fat necrosis after AFG can cause palpable nodules, inducing anxiety and prompting additional investigations. We aimed to determine the occurrence rate and to identify the risk factors of palpable nodules in breast cancer patients prompting complementary explorations.

Three artificial intelligence data challenges based on CT and ultrasound.

Purpose: The 2020 edition of these Data Challenges was organized by the French Society of Radiology (SFR), from September 28 to September 30, 2020. The goals were to propose innovative artificial intelligence solutions for the current relevant problems in radiology and to build a large database of multimodal medical images of ultrasound and computed tomography (CT) on these subjects from several French radiology centers.

Materials And Methods: This year the attempt was to create data challenge objectives in line with the clinical routine of radiologists, with less preprocessing of data and annotation, leaving a large part of the preprocessing task to the participating teams.

[Magnetic resonance imaging of desmoid-type fibromatosis: Current evaluation criteria].

The management of desmoid-type fibromatosis has considerably evolved these last years, toward first-line active surveillance then systemic or local symptomatic treatment in case of aggressive tumor. Magnetic resonance imaging is the modality of choice in each of these treatment settings. It needs multiparametric approach taking into account mainly the tumor size, and T2-weighted signal that is correlated with histological composition and clinical behavior.

[Breast cancer: News tools in imaging].

Breast cancer imaging is always improving for the last 20 years in spite of digitalization and computer development. News tools in mammography (Digital Breast Tomosynthesis, Contrast enhanced mammography), sonography (elastography, Automated echography), MRI (Diffusion, abbreviated MRI) and Nuclear medicine has the great potential to be the future of breats imaging. But true revolution will be to use the huge volume of "hidden" imaging data, by Intelligence Artificial process or Biological progress (in genomics, proteiomics) to purpose to our patient a personalized imaging.

Artificial intelligence and breast screening: French Radiology Community position paper.

The objective of this article was to evaluate the evidence currently available about the clinical value of artificial intelligence (AI) in breast imaging. Nine experts from the disciplines involved in breast disease management - including physicists and radiologists - convened a meeting on June 3, 2019 to discuss the evidence for the use of this technology in plenary and focused sessions. Prior to the meeting, the group performed a literature review on predefined topics.

[French program of breast cancer screening: Radiologist viewpoint].

French program of breast cancer screening is implemented since15 years and results are in adequation with international guidelines except for participation. To answer to recurrent controversies about breast cancer screening, publications from National Institute of French cancer registry confirm the positive impact of screening on decreasing mortality for participating women. The harms of mammography (and not from screening) need to be communicated to the invited women to help them to make decision about participation but also the risk of worse prognosis in case of symptomatic cancer.

Preoperative Breast Magnetic Resonance Imaging in Women With Local Ductal Carcinoma in Situ to Optimize Surgical Outcomes: Results From the Randomized Phase III Trial IRCIS.

Purpose: We evaluated the addition of breast magnetic resonance imaging (MRI) to standard radiologic evaluation on the re-intervention rate in women with ductal carcinoma in situ (DCIS) undergoing breast-conserving surgery.

Patients And Methods: Women with biopsy-proven DCIS corresponding to a unifocal microcalcification cluster or a mass less than 30 mm were randomly assigned to undergo MRI or standard evaluation. The primary end point was the re-intervention rate for positive or close margins (< 2 mm) in the 6 months after randomization ( ClinicalTrials.

Perfusion MR imaging at 3-Tesla: Can it predict tumor grade and histologic necrosis rate of musculoskeletal sarcoma?

Purpose: To identify quantitative perfusion parameters that are best associated with tumor grade and tumor necrosis at magnetic resonance (MR) imaging at 3-Tesla.

Methods: MR perfusion studies of 31 patients with a musculoskeletal sarcoma were retrospectively evaluated by two readers. There were 18 men and 13 women with a mean age of 34.

BIRADS 3 MRI lesions: Was the initial score appropriate and what is the value of the blooming sign as an additional parameter to better characterize these lesions?

Objective: To investigate whether there were suspicious criteria on the initial MRI in BIRADS 3 lesions. To analyze the value of "blooming sign" as an additional criterion for malignancy.

Materials And Methods: In this retrospective study the lesion morphological and enhancement characteristics were analyzed.