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1.
Ann Pathol ; 44(2): 125-129, 2024 Mar.
Article in French | MEDLINE | ID: mdl-38326138

ABSTRACT

INTRODUCTION: Tuberculosis remains a major public health problem in developing countries. Thyroid localization is very rare, and often the cause of misdiagnosis. Pathological anatomy plays an important role in the diagnosis of certainty. The authors report a case of primary thyroid tuberculosis in a 22-year-old patient. We highlight the epidemiological particularities of this case, and discuss diagnostic methods and the contribution of pathological anatomy. OBSERVATION: A 22 year-old male patient, with no reported pathological history, was seen in the clinic for the management of an isolated anterior cervical swelling that had been evolving for two months. Clinical examination revealed only a small thyroid nodule, with no inflammatory or vascular features. Biological tests were unremarkable. Ultrasound revealed a 2.4cm hypoechoic, homogeneous, poorly vascularized tissue mass in the left lobe, classified as EU-TIRADS 3. Fine needle aspiration with cytopathological study revealed a necrotizing granulomatous lesion suggestive of tuberculosis. A lobo-isthmectomy was performed, and histopathology revealed thyroid parenchyma destroyed by tubercular granulomas. The postoperative course was straightforward, with an exeat on postoperative day 6. Anti-tuberculosis treatment was instituted for 6 months. Three- and six-month follow-up examinations were unremarkable. The evolution was favorable, with recovery after treatment. CONCLUSION: Primary thyroid tuberculosis is rare. Cytology is important for orientation, and often helps to avoid misdiagnosis. The diagnosis should be considered in the presence of any thyroid mass in a patient from a tuberculosis-endemic region.


Subject(s)
Thyroid Nodule , Tuberculosis , Male , Humans , Young Adult , Adult , Thyroid Nodule/diagnosis , Thyroid Nodule/pathology , Thyroidectomy , Biopsy, Fine-Needle/methods , Tuberculosis/diagnosis
2.
Ann Pathol ; 39(6): 414-424, 2019 Dec.
Article in French | MEDLINE | ID: mdl-30853495

ABSTRACT

INTRODUCTION: PELICAN ("Partager Efficacement en Laboratoire les Informations des Comptes rendus ANatomopathologiques") is a software, which generates standardized reports, and allows to automatically create a database. It has been used in central nervous system tumor pathology at the University Hospital of Nancy since 2014. The purpose of this article was to illustrate the use of this application for meningiomas, with a first statistical evaluation. MATERIALS AND METHODS: The export of data included all cases of meningiomas recorded in the PELICAN application until July 2018. The PELICAN application is a Microsoft Excel file containing a software, written in Visual Basic for Applications, and used by the pathologist to create the report. The main clinical data were collected from the Hérault Register census form. Follow-up was systematically reported for atypical meningiomas. RESULTS: Two hundred and ninety-five meningiomas were analyzed, including 250 grade I meningiomas, 42 grade II meningiomas, and 3 grade III meningiomas. Grade II meningiomas were characterized by a significantly higher proportion of men (P=0.002) and dural infiltration (P<0.001), a significant increase in the Ki-67 index (P<0.0001), and a significant decrease in progesterone receptor expression (P<0.001). In atypical meningiomas, a Ki-67 index of more than 20 % was significantly correlated with a shorter progression-free survival (P=0.032). CONCLUSION: The PELICAN software is an easy-to-use tool that allows to generate standardized reports and feed a database, opening very interesting perspectives from an epidemiological and scientific point of view.


Subject(s)
Medical Records Systems, Computerized/standards , Meningeal Neoplasms/pathology , Meningioma/pathology , Pathology, Clinical/methods , Software , Adolescent , Adult , Aged , Aged, 80 and over , Central Nervous System Neoplasms/pathology , Databases, Factual , Female , Humans , Ki-67 Antigen/analysis , Male , Meningeal Neoplasms/chemistry , Meningioma/chemistry , Middle Aged , Neoplasm Grading , Receptors, Progesterone/analysis , User-Computer Interface , Young Adult
3.
Ann Pathol ; 39(2): 87-99, 2019 Apr.
Article in French | MEDLINE | ID: mdl-30736988

ABSTRACT

INTRODUCTION: PELICAN (« Partager Éfficacement en Laboratoire les Informations des Comptes rendus ANatomopathologiques ¼) is a software which generates standardized reports and, in parallel, allows to automatically create a database that can be used for research purpose. This application has been used in our laboratory since 2014 for central nervous system tumors. The aim of this work was to extend it to another type of tumor, lung cancer. MATERIALS AND METHODS: The content of the pathology reports was previously defined using various standards (Société Française de Pathologie, Institut National du Cancer, WHO Classification 2015, …). A double codification was used with SNOMED and ADICAP codes. The PELICAN application is a Microsoft Excel file containing a software specifically developed for pathology laboratories, written in Visual Basic for Applications and respecting the CDA-R2 standard. RESULTS: After definition of the software specifications, a beta-version was installed in February 2018. After various updates, the 3.19 version was installed in July 2018. Almost all lung cancer surgical pathology reports are now generated with the PELICAN software; a total of 56 reports were validated at the time of writing this manuscript. The medical time for the generation of the report was globally the same or decreased for some pathologists. The secretarial time was greatly reduced. CONCLUSION: The PELICAN software is an easy to use tool that allows to generate standardized reports in pulmonary pathology and to feed a database that can be easily used for statistical purposes.


Subject(s)
Database Management Systems , Lung Neoplasms/pathology , Medical Records/standards , Software , Humans
4.
Ann Pathol ; 39(2): 144-150, 2019 Apr.
Article in French | MEDLINE | ID: mdl-30711337

ABSTRACT

Medical education is currently facing great changes that affect all medical specialties, including anatomical pathology. Due to rapidly increasing medical knowledge and diagnostic complexity, we are living an era of teaching resources mutualization. We present different tools that allow large numbers of students to access courses, self-evaluations, and competencies assessments. MOOC platforms and e-learning platforms are central to these new online tools, which include the French National Platform of Medical Specialties, dedicated to the teaching of 50,000 medical residents in France. We also discuss "serious games" and the use of images and virtual slides in anatomical pathology teaching. These new modalities can deliver essential knowledge to large student populations, but they must be used in conjunction with adapted teacher-led courses focusing on competencies and professional skills in order to be fully effective.


Subject(s)
Pathology, Clinical/education , Education, Distance , Education, Medical, Graduate/organization & administration , Education, Medical, Graduate/statistics & numerical data , France
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