Centrofollicular B Cell lymphomas constitute 25% of non-Hodgkin lymphomas that originate in the skin. They are the second in frequency of those lymphomas with extranodal location after gastrointestinal B lymphomas. The primary cutaneous centrofollicular lymphoma is characterized by the neoplastic proliferation of centrocytes and centroblasts confined to the skin. The prognosis is considered excellent with low probability of extracutaneous dissemination. We present a patient recently diagnosed in our unit with a good response to radiotherapy and complete resolution of the tumor with mild atrophy of the site.

Sarcoidosis is a multisystem inflammatory disease characterized by the formation of noncaseating granulomas in various organs and tissues. The majority of patients with systemic sarcoidosis will present with lung and lymph node involvement. In addition, 20% have skin involvement that may be the only manifestation of the disease or may be an important prognostic marker for involvement of other organs. There are multiple forms of presentation of cutaneous sarcoidosis, which may be a true challenge.We report a patient with a one month history of an eruption of skin colored papules. Some were grouped in a symmetrical distribution on the trunk, inner arms, and lumbar region. Pathologic examination revealed an infiltrate in the papillary dermis showing a band of noncaseating granulomas along with disruption of the basal lamina and lichenoid changes. The clinicopathological correlation confirmed the diagnosis of lichenoid sarcoidosis. We consider our case interesting owing to the clinical presentation and the lichenoid distribution of granulomas.

Numerosas enfermedades cutáneas pueden presentarse como lesiones azules, el diagnóstico diferencial incluye entidades tan diferentes como las metástasis de melanoma, los angiomas, los lipomas, los quistes epidermoides, los pilomatrixoma, los nevus azules, los tumores glómicos o los hidrocistomas, como el que presentamos. La ecografía cutánea será una técnica diagnóstica complementaria de gran valor para hacer un correcto diagnostico diferencia pues cada una de estas lesiones tienen hallazgos ecográficos diferentes que orientaran el diagnóstico.

BACKGROUND: Artificial intelligence (AI) is rapidly fuelling a fundamental transformation in the practice of pathology. However, clinical integration remains challenging, with no AI algorithms to date in routine adoption within typical anatomic pathology (AP) laboratories. This survey gathered current expert perspectives and expectations regarding the role of AI in AP from those with first-hand computational pathology and AI experience. METHODS: Perspectives were solicited using the Delphi method from 24 subject matter experts between December 2020 and February 2021 regarding the anticipated role of AI in pathology by the year 2030. The study consisted of three consecutive rounds: 1) an open-ended, free response questionnaire generating a list of survey items; 2) a Likert-scale survey scored by experts and analysed for consensus; and 3) a repeat survey of items not reaching consensus to obtain further expert consensus. FINDINGS: Consensus opinions were reached on 141 of 180 survey items (78.3%). Experts agreed that AI would be routinely and impactfully used within AP laboratory and pathologist clinical workflows by 2030. High consensus was reached on 100 items across nine categories encompassing the impact of AI on (1) pathology key performance indicators (KPIs) and (2) the pathology workforce and specific tasks performed by (3) pathologists and (4) AP lab technicians, as well as (5) specific AI applications and their likelihood of routine use by 2030, (6) AIs role in integrated diagnostics, (7) pathology tasks likely to be fully automated using AI, and (8) regulatory/legal and (9) ethical aspects of AI integration in pathology. INTERPRETATION: This systematic consensus study details the expected short-to-mid-term impact of AI on pathology practice. These findings provide timely and relevant information regarding future care delivery in pathology and raise key practical, ethical, and legal challenges that must be addressed prior to AIs successful clinical implementation. FUNDING: No specific funding was provided for this study.