Anomalía vaginal: a propósito de un caso interesante / Vaginal abnormality: an interesting case report

Las malformaciones uterovaginales (MUV), se deben a una alteración en el proceso de  embriogénesis del sistema reproductor femenino. La ecografía tiene un rol importante en el estudio inicial de las mismas, la RMN tiene ventajas importantes, es un estudio no invasivo, con una sensibilidad de casi 100%. La histerosalpingografía es la técnica clásica para el estudio de las MUV que proporciona información sobre el canal cervical, endometrial  y la permeabilidad tubárica. Se demuestra la utilidad de la ecografía transabdominal en el manejo imagenológico de una MUV  y sus complicaciones principales al presentar el caso de una paciente de 12 años de edad que acudió a consulta con fiebre elevada,  dolor hipogástrico y oliguria/disuria sin  menarquia. Al examen físico se palpó  tumoración suprapúbica, abombamiento perineal e himen no tunelizado, se constató edema facial e hipertensión arterial. La ecografía reveló una moderada dilatación de los sistemas excretores de ambos riñones, la cavidad vesical notablemente distendida, visualizándose masa hipoecoica retrovesical en fosa ilíaca derecha,  sin septos ni contenido,  relacionada con hematometra secundaria a himen imperforado, causando hidronefrosis obstructiva bilateral que condujo a  retención urinaria y de fallo renal agudo. Se realizó corrección quirúrgica de la MUV obteniéndo una evolución clínico imagenológica satisfactoria.Palabras clave: ANOMALÍAS GENITOURINARIAS, HEMATOCOLPOS, ULTRASONOGRAFÍA, HEMATÓMETRA.ABSTRACTUterovaginal malformations (UVM) are due to an alteration in the process of embryogenesis of the female reproductive system. The imaging has a very important role during initial studies of these abnormalities; magnetic resonance imaging has significant advantages in non-invasive studies with a sensitivity of almost 100%. Hysterosalpingography is the classic technique to the study of UVM that provides information about cervical, endometrial canals and tubal permeability. The usefulness of the transabdominal imaging in the management of a UVM and main complications was showed when presenting a case of a 12 years old patient attending to the office with high fever, hypogastric pain and oliguria/dysuria without menarche. At physical examination a suprapubic tumor was palpated, a perineal dome, a non-tunneled hymen, facial edema and hypertension were observed. Imaging revealed a moderate dilatation of the excretory systems in both kidneys, vesical cavity was notable distended, visualizing a retrovesical hypoecoid mass in the right iliac fossa, without septa or contents related to a hematometra due to an imperforate hymen provoking bilateral obstructive hydronephrosis which led to a urinary retention of acute renal failure. Surgical correction of the UVM was carried out having a satisfactory imaging-clinical progression. Key words: UROGENITAL ABNORMALITIES, HEMATOCOLPOS, ULTRASONOGRAPHY, HEMATOMATRA

Anomalía vaginal: a propósito de un caso interesante / Vaginal abnormality: an interesting case report

Las malformaciones uterovaginales (MUV), se deben a una alteración en el proceso de  embriogénesis del sistema reproductor femenino. La ecografía tiene un rol importante en el estudio inicial de las mismas, la RMN tiene ventajas importantes, es un estudio no invasivo, con una sensibilidad de casi 100%. La histerosalpingografía es la técnica clásica para el estudio de las MUV que proporciona información sobre el canal cervical, endometrial  y la permeabilidad tubárica. Se demuestra la utilidad de la ecografía transabdominal en el manejo imagenológico de una MUV  y sus complicaciones principales al presentar el caso de una paciente de 12 años de edad que acudió a consulta con fiebre elevada,  dolor hipogástrico y oliguria/disuria sin  menarquia. Al examen físico se palpó  tumoración suprapúbica, abombamiento perineal e himen no tunelizado, se constató edema facial e hipertensión arterial. La ecografía reveló una moderada dilatación de los sistemas excretores de ambos riñones, la cavidad vesical notablemente distendida, visualizándose masa hipoecoica retrovesical en fosa ilíaca derecha,  sin septos ni contenido,  relacionada con hematometra secundaria a himen imperforado, causando hidronefrosis obstructiva bilateral que condujo a  retención urinaria y de fallo renal agudo. Se realizó corrección quirúrgica de la MUV obteniéndo una evolución clínico imagenológica satisfactoria.Palabras clave: ANOMALÍAS GENITOURINARIAS, HEMATOCOLPOS, ULTRASONOGRAFÍA, HEMATÓMETRA.ABSTRACTUterovaginal malformations (UVM) are due to an alteration in the process of embryogenesis of the female reproductive system. The imaging has a very important role during initial studies of these abnormalities; magnetic resonance imaging has significant advantages in non-invasive studies with a sensitivity of almost 100%. Hysterosalpingography is the classic technique to the study of UVM that provides information about cervical, endometrial canals and tubal permeability. The usefulness of the transabdominal imaging in the management of a UVM and main complications was showed when presenting a case of a 12 years old patient attending to the office with high fever, hypogastric pain and oliguria/dysuria without menarche. At physical examination a suprapubic tumor was palpated, a perineal dome, a non-tunneled hymen, facial edema and hypertension were observed. Imaging revealed a moderate dilatation of the excretory systems in both kidneys, vesical cavity was notable distended, visualizing a retrovesical hypoecoid mass in the right iliac fossa, without septa or contents related to a hematometra due to an imperforate hymen provoking bilateral obstructive hydronephrosis which led to a urinary retention of acute renal failure. Surgical correction of the UVM was carried out having a satisfactory imaging-clinical progression. Key words: UROGENITAL ABNORMALITIES, HEMATOCOLPOS, ULTRASONOGRAPHY, HEMATOMATRA

Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network

International audienceLiquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the technology has been used in a number of recent neutrino experiments, and is the technology of choice for the Deep Underground Neutrino Experiment (DUNE). In order to perform high precision measurements of neutrinos in the detector, final state particles need to be effectively identified, and their energy accurately reconstructed. This article proposes an algorithm based on a convolutional neural network to perform the classification of energy deposits and reconstructed particles as track-like or arising from electromagnetic cascades. Results from testing the algorithm on experimental data from ProtoDUNE-SP, a prototype of the DUNE far detector, are presented. The network identifies track- and shower-like particles, as well as Michel electrons, with high efficiency. The performance of the algorithm is consistent between experimental data and simulation

Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network

International audienceLiquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the technology has been used in a number of recent neutrino experiments, and is the technology of choice for the Deep Underground Neutrino Experiment (DUNE). In order to perform high precision measurements of neutrinos in the detector, final state particles need to be effectively identified, and their energy accurately reconstructed. This article proposes an algorithm based on a convolutional neural network to perform the classification of energy deposits and reconstructed particles as track-like or arising from electromagnetic cascades. Results from testing the algorithm on experimental data from ProtoDUNE-SP, a prototype of the DUNE far detector, are presented. The network identifies track- and shower-like particles, as well as Michel electrons, with high efficiency. The performance of the algorithm is consistent between experimental data and simulation