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Aggressive angiomyxoma (AAM) is a rare benign tumor that arises from connective tissue, prominently located in the vulva, vagina, perineum, and pelvis and is mainly found in women aged about 20-40 years old. Giant intraabdominal tumors have rarely been described. These tumors develop slowly over time and are often difficult to diagnose due to various clinical findings, especially in the early stages. Even though surgery is the primary treatment method, the possibility of complete resection is sometimes limited because the tumor tends to infiltrate nearby structures, leading to local recurrence. Only about 10% of AAM cases can be accurately diagnosed before treatment, which causes ineffective outcomes. This article demonstrates a case of giant intra-abdominal AAM precisely diagnosed by suspicious signs on CT and MRI scans before starting treatment.

Background: The incidence of atypical ductal hyperplasia (ADH) is increasing due to mass screening. Because of the underestimation risk of malignancy, the management remains controversial. Our goal was to analyze clinicopathologic features of patients with ADH diagnosed on directional vacuum-assisted biopsy (DVAB). The objectives of this continuous retrospective study were to evaluate the underestimation rate of malignancy and to identify predictors of upgrade to carcinoma. Methods: Between 2003 and 2010, 3159 patients underwent stereotactic DVAB in our institute. We retrospectively evaluate clinical, mammographic and pathological features of 298 cases of ADH who underwent surgical excision in our center (93.1%). Patients with concurrent history of breast cancer, intraductal carcinoma (DCIS) associated, or with no follow-up or surgical excision on place were excluded. Histological scar of macrobiopsy was systematically searched in surgical specimens. A pathologic upgrade was defined by presence of invasive cancer or DCIS on surgical specimen. Statistical tests used were the chi-square or Fisher's exact test. Results: Among the 298 studied DVAB, 224 ADH were isolated (75.2%), 46 associated to flat epithelial atypia (15.4%) and 28 to lobular neoplasia (9.4%). 98.4% patients presented microcalcifications at diagnosis. In 52 cases, lesions were upgraded to DCIS (n = 38) or invasive cancer (n = 14). The underestimated rate was 17.5%. In 67.3% cases, upgrade lesions were low or intermediate grade DCIS. Only the history of contralateral breast cancer was significantly correlated with the underestimated rate (p = 0.04). There was no statistical difference between these 52 cases and the 246 others for: family history, size of calcification, sampling number, histological lesion, and quality of calcifications removal. Conclusions: In this study, DVAB may not be considered a therapeutic procedure in case of ADH, even in the case of complete removal of microcalcifications. It is still challenging to identify a subgroup of ADH cases with a low upgrade rate. [ABSTRACT FROM AUTHOR]

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. Diagnosing RSS before treatment remains challenging because of its nonspecific clinical symptoms. The disease is often detected at a later stage, leading to additional damage to other organs as well as complicated and ineffective treatment. Consequently, the 5-year survival rate is only 20%-29%. This report introduces a case of RSS in a 19-year-old male patient with imaging characteristics on computed tomography (CT) and magnetic resonance (MR)., (© 2024 The Authors. Published by Elsevier Inc. on behalf of University of Washington.)

After chemotherapy, patients with non-seminomatous germ cell tumors (NSGCTs) with residual masses >1 cm on computed tomography (CT) undergo surgery. However, in approximately 50% of cases, these masses only consist of necrosis/fibrosis. We aimed to develop a radiomics score to predict the malignant character of residual masses to avoid surgical overtreatment. Patients with NSGCTs who underwent surgery for residual masses between September 2007 and July 2020 were retrospectively identified from a unicenter database. Residual masses were delineated on post-chemotherapy contrast-enhanced CT scans. Tumor textures were obtained using the free software LifeX. We constructed a radiomics score using a penalized logistic regression model in a training dataset, and evaluated its performance on a test dataset. We included 76 patients, with 149 residual masses; 97 masses were malignant (65%). In the training dataset ( n = 99 residual masses), the best model (ELASTIC-NET) led to a radiomics score based on eight texture features. In the test dataset, the area under the curve (AUC), sensibility, and specificity of this model were respectively estimated at 0.82 (95%CI, 0.69-0.95), 90.6% (75.0-98.0), and 61.1% (35.7-82.7). Our radiomics score may help in the prediction of the malignant nature of residual post-chemotherapy masses in NSGCTs before surgery, and thus limit overtreatment. However, these results are insufficient to simply select patients for surgery.

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. Resulting inferences were assessed using area under the curve (AUC)., Results: A total of 460 ultrasound images of breast nodules classified as BI-RADS 3 or 4 were included. There were 295 benign and 165 malignant breast nodules used for training and validation, and another 137 breast nodules images used for testing. As a part of the challenge, the distribution of benign and malignant breast nodules in the test database remained unknown. The obtained AUC was 0.69 (95% CI: 0.57-0.82) on the training set and 0.67 on the test set., Conclusion: The proposed deep learning solution helps classify benign and malignant breast nodules based solely on two-dimensional ultrasound images initially marked as BIRADS 3 and 4., (Copyright © 2021 Société française de radiologie. Published by Elsevier Masson SAS. All rights reserved.)

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. The objectives were proposed by the different organizations depending on their core areas of expertise. A dedicated platform was used to upload the medical image data, to automatically anonymize the uploaded data., Results: Three challenges were proposed including classification of benign or malignant breast nodules on ultrasound examinations, detection and contouring of pathological neck lymph nodes from cervical CT examinations and classification of calcium score on coronary calcifications from thoracic CT examinations. A total of 2076 medical examinations were included in the database for the three challenges, in three months, by 18 different centers, of which 12% were excluded. The 39 participants were divided into six multidisciplinary teams among which the coronary calcification score challenge was solved with a concordance index > 95%, and the other two with scores of 67% (breast nodule classification) and 63% (neck lymph node calcifications)., (Published by Elsevier Masson SAS.)

Objective: To describe post-CyberKnife® imaging characteristics of liver metastases as an aid in assessing response to treatment, and a novel set of combined criteria (CC) as an alternative to response according to change in size (RECIST)., Subjects and Methods: Imaging data and medical records of 28 patients with 40 liver metastases treated with stereotactic body radiotherapy (SBRT) were reviewed. Tumor size, CT attenuation coefficient, and contrast enhancement of lesions were evaluated up to 2 years post SBRT. Rates of local control, progression-free survival, time to progression, and overall survival according to RECIST and CC were estimated., Results: Complete response (CR) was 3.6% (95% CI: 0.1-18%) and 18% (95% CI: 6-37%) according to RECIST and combined criteria, respectively. Two progressive diseases and two partial responses according to RECIST were classified as CR by the combined criteria and one stable response according to RECIST was classified as progressive by CC (Stuart-Maxwell test, p = 0.012). The disease control rate was 60.7% (95% CI: 41-78%) by RECIST and 64% (95% CI: 44%-81%) by CC., Conclusion: Use of response criteria based on change in size alone in the interpretation of liver response to SBRT may be inadequate. We propose a simple algorithm with a combination of criteria to better assess tumor response. Further studies are needed to confirm their validity.

Background: Case reports of primary pulmonary artery sarcomas are very rare., Methods: We described herein eight new cases diagnosed between December 2000 and December 2004., Results: There were four men and four women, with median age of 52 years. Presenting symptoms mimicked pulmonary emboli in all cases. There were six "intimal sarcomas" and two leiomyosarcomas. In six cases, we observed initial metastasis in lung (six cases), in bone (two cases), and in brain (two cases), and adrenal gland (one case). The palliative treatments included surgical desobstruction (six cases), conformational radiotherapy (four cases), and chemotherapy (seven cases). Doxorubicin-based regimen failed in seven cases. All patients died (median survival: 8 months, extremes 5-20 months)., Conclusion: Those eight cases illustrate the high incidence of initial metastasis and the very poor outcome of primary pulmonary artery sarcomas despite classic doxorubicin-based chemotherapy.