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1.
Heliyon ; 9(5): e15970, 2023 May.
Artículo en Inglés | MEDLINE | ID: mdl-37305513

RESUMEN

Background: Lipoleiomyomas are uncommon uterine lesions containing adipose and smooth muscle tissue. They have a variable presentation and are usually found incidentally on imaging or post-hysterectomy tissue analysis. Given their low prevalence, there is a dearth of literature describing imaging characteristics for uterine lipoleiomyomas. In this image-rich case series, we summarize an example of an initial presentation as well as present ultrasound, computed tomography (CT), and magnetic resonance imaging (MRI) findings for 36 patients. Case presentation: We present the detailed clinical course of a representative patient evaluated for uterine lipoleiomyoma and describe imaging findings seen in another 35 patients. This includes ultrasound findings from 16 patients, CT findings from 25 patients, and MRI findings from 5 patients. Among the 36 total patients, symptoms at the time of diagnosis were variable but often included abdominal or pelvic pain; however, most patients were asymptomatic, and the lipoleiomyomas were incidentally discovered on imaging. Conclusions: Uterine lipoleiomyomas are rare and benign tumors with variable presentations. Ultrasound, CT, and MRI findings can assist in diagnosis. Findings on ultrasound typically include well-circumscribed hyperechoic and septated lesions with minimal to no internal blood flow. CT shows fat-containing either homogeneous or heterogeneous circumscribed lesions depending on their ratio of fat and smooth muscle tissue. Lastly, on MRI, uterine lipoleiomyomas commonly appear heterogenous with loss of signal on fat-suppressed sequences. These imaging findings are highly specific for lipoleiomyomas, and familiarity with these findings may reduce unnecessary and potentially invasive procedures.

2.
J Med Case Rep ; 15(1): 597, 2021 Dec 17.
Artículo en Inglés | MEDLINE | ID: mdl-34915922

RESUMEN

BACKGROUND: Pneumatosis cystoides intestinalis is a rare and usually benign condition in which multiple thin-walled cysts develop in the submucosa or subserosa of the gastrointestinal tract. While usually asymptomatic, severe cases can result in pneumoperitoneum, which can be managed surgically or medically depending on circumstances. We present a case of a patient with pneumatosis cystoides intestinalis, which presented as pneumoperitoneum following trauma. To our knowledge, there are no other published cases in which a trauma patient with pneumoperitoneum was found to have radiologic evidence of pneumatosis cystoides intestinalis. CASE PRESENTATION: We present the case of a 37-year-old Hispanic male admitted to the hospital after being involved in a motorcycle accident. Computed tomography imaging of the abdomen and pelvis with oral and intravenous contrast demonstrated trace pneumoperitoneum, possibly originating from the splenic flexure of the colon without evidence of extravasation of oral contrast. Laparoscopy with conversion to exploratory laparotomy revealed bowel abnormalities at the distal transverse colon and splenic flexure, which were identified as pneumatosis cystoides intestinalis by pathology. There was no evidence of bowel perforation. A panel of abdominal radiologists attended the computed tomography interpretation to note that incidental atraumatic or traumatic rupture of the cysts could have caused the pneumoperitoneum. The patient had an uncomplicated postoperative course and was transferred to another facility per insurance request. CONCLUSIONS: When presenting in the context of trauma, pneumatosis cystoides intestinalis can lead to difficult management decisions. To our knowledge, there are no existing evidence-based guidelines for the scenario of concurrent pneumatosis cystoides intestinalis, blunt abdominal trauma, and pneumoperitoneum in a patient with a benign abdominal exam. This patient's pneumoperitoneum was likely caused by rupture of preexisting cysts rather than frank bowel perforation. Patients who are asymptomatic, lack signs of clinically worrisome disease, and have a low pretest probability will likely not benefit from surgery and can be medically managed. Thorough discussion between surgeons and radiologists can be helpful when evaluating the clinical significance of a patient's pneumatosis cystoides intestinalis and aid in the decision to perform surgery.


Asunto(s)
Quistes , Perforación Intestinal , Neumatosis Cistoide Intestinal , Neumoperitoneo , Abdomen , Adulto , Humanos , Masculino , Neumatosis Cistoide Intestinal/complicaciones , Neumatosis Cistoide Intestinal/diagnóstico por imagen , Neumoperitoneo/diagnóstico por imagen , Neumoperitoneo/etiología
3.
J Med Case Rep ; 15(1): 634, 2021 Dec 28.
Artículo en Inglés | MEDLINE | ID: mdl-34963492

RESUMEN

BACKGROUND: Ganglioneuromas are a benign tumor originating from neural crest cells. As one of the neuroblastic tumors, ganglioneuromas are most common in children, with a mean age at presentation of 7 years. Ganglioneuromas are typically singular in nature, but rarely can present with lymph node involvement and distant metastasis. We present a rare case of a retroperitoneal ganglioneuroma found in a human immunodeficiency virus positive adult, which was complicated by lymph node involvement. This case is notable not only in regard to the age of the patient, but also because of his human immunodeficiency virus positive status and the extension of tumor to lymph nodes. CASE PRESENTATION: A 27-year-old Latino male with history of human immunodeficiency virus presented with a 6-month history of left upper quadrant and epigastric abdominal pain with associated nausea and vomiting. The patient had a computed tomography scan showing a retroperitoneal mass encasing the aorta, celiac axis, and superior mesenteric artery. Core needle biopsy revealed ganglioneuroma. Owing to obstructive symptoms, resection of the mass along with partial gastric resection, partial pancreatic resection, and splenectomy was performed by a multidisciplinary group of surgeons. Pathology results revealed metastatic spread of ganglioneuroma to surrounding lymph nodes. CONCLUSIONS: Ganglioneuromas are most common in children and very rarely occur in adults. However, it is still important to consider this entity in the differential for patients presenting with suspicious symptoms. While rare, it is essential to consider metastasis in this generally benign disease.


Asunto(s)
Ganglioneuroma , Neoplasias Retroperitoneales , Abdomen , Adulto , Ganglioneuroma/diagnóstico , Ganglioneuroma/diagnóstico por imagen , VIH , Humanos , Neoplasias Retroperitoneales/complicaciones , Neoplasias Retroperitoneales/diagnóstico por imagen , Tomografía Computarizada por Rayos X
4.
J Endourol ; 35(9): 1411-1418, 2021 09.
Artículo en Inglés | MEDLINE | ID: mdl-33847156

RESUMEN

Background: Renal-cell carcinoma is the most common kidney cancer and the 13th most common cause of cancer death worldwide. Partial nephrectomy and percutaneous ablation, increasingly utilized to treat small renal masses and preserve renal parenchyma, require precise preoperative imaging interpretation. We sought to develop and evaluate a convolutional neural network (CNN), a type of deep learning (DL) artificial intelligence (AI), to act as a surgical planning aid by determining renal tumor and kidney volumes through segmentation on single-phase CT. Materials and Methods: After Institutional Review Board approval, the CT images of 319 patients were retrospectively analyzed. Two distinct CNNs were developed for (1) bounding cube localization of the right and left hemiabdomen and (2) segmentation of the renal parenchyma and tumor within each bounding cube. Training was performed on a randomly selected cohort of 269 patients. CNN performance was evaluated on a separate cohort of 50 patients using Sorensen-Dice coefficients (which measures the spatial overlap between the manually segmented and neural network-derived segmentations) and Pearson correlation coefficients. Experiments were run on a graphics processing unit-optimized workstation with a single NVIDIA GeForce GTX Titan X (12GB, Maxwell Architecture). Results: Median Dice coefficients for kidney and tumor segmentation were 0.970 and 0.816, respectively; Pearson correlation coefficients between CNN-generated and human-annotated estimates for kidney and tumor volume were 0.998 and 0.993 (p < 0.001), respectively. End-to-end trained CNNs were able to perform renal parenchyma and tumor segmentation on a new test case in an average of 5.6 seconds. Conclusions: Initial experience with automated DL AI demonstrates that it is capable of rapidly and accurately segmenting kidneys and renal tumors on single-phase contrast-enhanced CT scans and calculating tumor and renal volumes.


Asunto(s)
Aprendizaje Profundo , Neoplasias Renales , Inteligencia Artificial , Humanos , Procesamiento de Imagen Asistido por Computador , Riñón/diagnóstico por imagen , Riñón/cirugía , Neoplasias Renales/diagnóstico por imagen , Neoplasias Renales/cirugía , Nefronas/diagnóstico por imagen , Nefronas/cirugía , Estudios Retrospectivos
5.
J Neurotrauma ; 36(2): 212-221, 2019 01 15.
Artículo en Inglés | MEDLINE | ID: mdl-29901425

RESUMEN

Treatment of severe traumatic brain injury (TBI) in the intensive care unit focuses on controlling intracranial pressure, ensuring sufficient cerebral perfusion, and monitoring for secondary injuries. However, there are limited prognostic tools and no biomarkers or tests of the evolving neuropathology. Metabolomics has the potential to be a powerful tool to indirectly monitor evolving dysfunctional metabolism. We compared metabolite levels in simultaneously collected arterial and jugular venous samples in acute TBI patients undergoing intensive care as well as in healthy control volunteers. Our results show that, first, many circulating metabolites are decreased in TBI patients compared with healthy controls days after injury; both proline and hydroxyproline were depleted by ≥60% compared with healthy controls, as was gluconate. Second, both arterial and jugular venous plasma metabolomic analysis separates TBI patients from healthy controls and shows that distinct combinations of metabolites are driving the group separation in the two blood types. Third, TBI patients under heavy sedation with pentobarbital at the time of blood collection were discernibly different from patients not receiving pentobarbital. These results highlight the importance of accounting for medications in metabolomics analysis. Jugular venous plasma metabolomics shows potential as a minimally invasive tool to identify and study dysfunctional cerebral metabolism after TBI.


Asunto(s)
Biomarcadores/sangre , Lesiones Traumáticas del Encéfalo/metabolismo , Hipnóticos y Sedantes/uso terapéutico , Metabolómica/métodos , Pentobarbital/uso terapéutico , Adolescente , Adulto , Anciano , Lesiones Traumáticas del Encéfalo/tratamiento farmacológico , Estudios de Cohortes , Femenino , Humanos , Venas Yugulares , Masculino , Persona de Mediana Edad , Adulto Joven
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