Advances in breast cancer risk modeling: integrating clinics, imaging, pathology and artificial intelligence for personalized risk assessment.

Breast cancer risk models represent the likelihood of developing breast cancer based on risk factors. They enable personalized interventions to improve screening programs. Radiologists identify mammographic density as a significant risk factor and test new imaging techniques. Pathologists provide data for risk assessment. Clinicians conduct individual risk assessments and adopt prevention strategies for high-risk subjects. Tumor genetic testing guides personalized screening and treatment decisions. Artificial intelligence in mammography integrates imaging, clinical, genetic and pathological data to develop risk models. Emerging imaging technologies, genetic testing and molecular profiling improve risk model accuracy. The complexity of the disease, limited data availability and model inputs are discussed. A multidisciplinary approach is essential for earlier detection and improved outcomes.

Colon hypoganglionosis in Beckwith-Wiedemann syndrome: a new rare comorbidity?

We describe the case of a patient with a clinical and molecular diagnosis of Beckwith-Wiedemann Syndrome (BWS) and a clinical, radiologic and histologic diagnosis of colon isolated hypoganglionosis. BWS is a genetic multisystem disorder characterized by generalized and lateralized overgrowth, macroglossia, abdominal wall defects, neonatal hypoglycemia and predisposition to embryonal tumors (Brioude et al., Nat Rev Endocrinol 1998; 14:229-249). Hypoganglionosis of the colon is a condition that clinically resembles Hirschsprung's disease and it is part of a group of numerous and heterogeneous conditions that are defined 'Variants of Hirschsprung's disease' (Friedmacher and Puri, Pediatr Surg Int 2013; 29:855-872). To the best of our knowledge, the association of BWS with Hirschsprung's disease has been observed only in one patient, an infant with hypoglycemia (Shah et al., BMJ Case Rep 2020; 13:e235121). We suppose that dysganglionosis could be rare comorbidity of BWS. We suggest to put particular attention to patients affected by BWS who develop early severe constipation taking into account the possibility to study them at radiologic and histologic levels to show the possible evidence of Hirschsprung's disease variants.

Diagnostic Performances of the ACR-TIRADS System in Thyroid Nodules Triage: A Prospective Single Center Study.

Ultrasound scores are used to determine whether thyroid nodules should undergo Fine Needle Aspiration (FNA) or simple clinical follow-up. Different scores have been proposed for this task, with the American College of Radiology (ACR) TIRADS system being one of the most widely used. This study evaluates its ability in triaging thyroid nodules deserving FNA on a large prospective monocentric Italian case series of 493 thyroid nodules from 448 subjects. In ACR 1-2, cytology never prompted a surgical indication. In 59% of cases classified as TIR1c-TIR2, the FNA procedure could be ancillary, according to the ACR-TIRADS score. A subset (37.9%) of cases classified as TIR4-5 would not undergo FNA, according to the dimensional thresholds used by the ACR-TIRADS. Applying the ACR score, a total of 46.5% thyroid nodules should be studied with FNA. The ACR system demonstrated a sensitivity and specificity of 58.9% and 59% in the identification of patients with cytology ≥TIR3A, with a particularly high false negative rate for ACR classes ≥3 (44.8%, 43/96), which would dramatically decrease (7.3%, 7/96) if the dimensional criteria were not taken into account. In ACR 3-4-5, a correspondence with the follow-up occurred in 60.3%, 50.2% and 51.9% of cases. The ACR-TIRADS is a useful risk stratification tool for thyroid nodules, although the current dimensional thresholds could lead to an underestimation of malignant lesions. Their update might be considered in future studies to increase the screening performances of the system.