Enhancing detection of previously missed non-palpable breast carcinomas through artificial intelligence.

Purpose: To investigate the impact of artificial intelligence (AI) reading digital mammograms in increasing the chance of detecting missed breast cancer, by studying the AI- flagged early morphology indictors, overlooked by the radiologist, and correlating them with the missed cancer pathology types.

Methods And Materials: Mammograms done in 2020-2023, presenting breast carcinomas (n = 1998), were analyzed in concordance with the prior one year's result (2019-2022) assumed negative or benign. Present mammograms reviewed for the descriptors: asymmetry, distortion, mass, and microcalcifications.

Artificial intelligence reading digital mammogram: enhancing detection and differentiation of suspicious microcalcifications.

Objectives: To investigate the impact of artificial intelligence (AI) on enhancing the sensitivity of digital mammograms in the detection and specification of grouped microcalcifications.

Methods: The study is a retrospective analysis of grouped microcalcifications for 447 patients. Grouped microcalcifications detected were correlated with AI, which was applied to the initial mammograms.

Strengths and challenges of the artificial intelligence in the assessment of dense breasts.

Objectives: High breast density is a risk factor for breast cancer and overlapping of glandular tissue can mask lesions thus lowering mammographic sensitivity. Also, dense breasts are more vulnerable to increase recall rate and false-positive results. New generations of artificial intelligence (AI) have been introduced to the realm of mammography.

Investigation of a dysmorphic facial phenotype in patients with Gaucher disease types 2 and 3.

Gaucher disease (GD) is a rare lysosomal storage disorder that is divided into three subtypes based on presentation of neurological manifestations. Distinguishing between the types has important implications for treatment and counseling. Yet, patients with neuronopathic forms of GD, types 2 and 3, often present at young ages and can have overlapping phenotypes.

Throwing a spotlight on under-recognized manifestations of Gaucher disease: Pulmonary involvement, lymphadenopathy and Gaucheroma.

Background: Gaucher disease (GD) is a rare lysosomal storage disorder classically subdivided into type 1 (non-neuronopathic) GD, and types 2 and 3 (neuronopathic) GD. It is typically characterized by clinical manifestations including anemia, thrombocytopenia, hepatosplenomegaly, bone lesions, and (in more severe forms) neurological impairment. However, less-commonly reported and often under-recognized manifestations exist, which potentially have a significant impact on patient outcomes.

Proton MR spectroscopy and the detection of malignancy in ovarian masses.

Objective: To assess the impact of MR spectroscopy (MRS) on the detection of malignancy in ovarian masses.

Methods: This prospective work included 230 females that had 245 adnexal/ovarian masses. Tumours were spotted by preliminary pelvic ultrasound.

The role of contrast-enhanced spectral mammography in the evaluation of the postoperative breast cancer.

Aim: To assess the utility of contrast-enhanced spectral mammography (CESM) to detect malignancy in the postoperative breast of cancer patients.

Materials And Methods: The study was a prospective analysis of 76 women following operations for breast cancer. CESM was performed with low (22-33 kVp) and high (44-49 kVp) energy exposures after intravenous injection of contrast agent.

Ovarian cancer screening-ultrasound; impact on ovarian cancer mortality.

Although ovarian cancer (OC) is the most lethal of all female malignancies, debate still exists concerning the benefits and harms of the screening programs and their impact on long-term survival and mortality from the disease. The most widely tested screening strategies have focused on transvaginal ultrasound (TVU) and on algorithms that measure serum levels or interval changes of cancer antigen-125 (CA-125) either individually or in combination. Transvaginal ultrasound can identify size and morphology changes of the ovary that may signal a developing malignancy; yet, it is still accused of having a low specificity.

Can we apply the MRI BI-RADS lexicon morphology descriptors on contrast-enhanced spectral mammography?

Objective:: To assess the feasibility of using the MRI breast imaging reporting and data system (BI-RADS) lexicon morphology descriptors to characterize enhancing breast lesions identified on contrast-enhanced spectral mammography (CESM).

Methods:: The study is a retrospective analysis of the morphology descriptors of 261 enhancing breast lesions identified on CESM in 239 patients. We presented the morphological categorization of the included lesions into focus, mass and non-mass.