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1.
Curr Probl Diagn Radiol ; 53(3): 422-435, 2024.
Artículo en Inglés | MEDLINE | ID: mdl-38365459

RESUMEN

CT is often the first imaging test in female patients with lower abdominal and pelvic pain because of the wide availability of CT and differential diagnoses that span both gynecologic and gastrointestinal disease. Pathology within the female pelvis may be difficult to diagnose on CT owing to suboptimal delineation of anatomy in comparison to MRI and ultrasound. These challenges are confounded by overlapping imaging features of a wide range of gynecologic entities and can lead to diagnostic dilemmas. High value CT interpretation will direct the clinician to the best next diagnostic step as ultrasound and MRI provide superior soft tissue delineation. Other imaging modalities, laboratory investigations, or tissue sampling may be necessary to definitively characterize indeterminate lesions. In this review, we illustrate various cases of mistaken identity on CT of the female pelvis involving the ovaries, uterus, and peritoneal cavity while highlighting clinical pearls that may aid the radiologist in arriving at the correct diagnosis and avoiding potential pitfalls.


Asunto(s)
Ovario , Tomografía Computarizada por Rayos X , Humanos , Femenino , Ovario/diagnóstico por imagen , Tomografía Computarizada por Rayos X/métodos , Pelvis/diagnóstico por imagen , Dolor Pélvico , Abdomen , Imagen por Resonancia Magnética/métodos
2.
Clin Breast Cancer ; 24(1): 45-52, 2024 01.
Artículo en Inglés | MEDLINE | ID: mdl-37821332

RESUMEN

BACKGROUND: Supplemental screening with breast MRI is recommended annually for patients who have greater than 20% lifetime risk for breast cancer. While there is robust data regarding features of mammographic screen-detected breast cancers, there is limited data regarding MRI-screen-detected cancers. PATIENTS AND METHODS: Screening breast MRIs performed between August 1, 2016 and July 30, 2022 identified 50 screen-detected breast cancers in 47 patients. Clinical and imaging features of all eligible cancers were recorded. RESULTS: During the study period, 50 MRI-screen detected cancers were identified in 47 patients. The majority of MRI-screen detected cancers (32/50, 64%) were invasive. Pathology revealed ductal carcinoma in situ (DCIS) in 36% (18/50), invasive ductal carcinoma (IDC) in 52% (26/50), invasive lobular carcinoma in 10% (5/50), and angiosarcoma in 2% (1/50). The majority of patients (43/47, 91%) were stage 0 or 1 at diagnosis and there were no breast cancer-related deaths during the follow-up periods. Cancers presented as masses in 50% (25/50), nonmass enhancement in 48% (25/50), and a focus in 2% (1/50). DCIS was more likely to present as nonmass enhancement (94.4%, 17/18), whereas invasive cancers were more likely to present as masses (75%, 24/32) (P < .001). All cancers that were stage 2 at diagnosis were detected either on a baseline exam or more than 4 years since the prior MRI exam. CONCLUSION: MRI screen-detected breast cancers were most often invasive cancers. Cancers detected by MRI screening had an excellent prognosis in our study population. Invasive cancers most commonly presented as a mass.


Asunto(s)
Neoplasias de la Mama , Carcinoma Intraductal no Infiltrante , Humanos , Femenino , Neoplasias de la Mama/diagnóstico por imagen , Neoplasias de la Mama/epidemiología , Carcinoma Intraductal no Infiltrante/diagnóstico por imagen , Carcinoma Intraductal no Infiltrante/epidemiología , Mama/patología , Mamografía , Imagen por Resonancia Magnética/métodos , Estudios Retrospectivos
3.
Abdom Radiol (NY) ; 48(4): 1383-1394, 2023 04.
Artículo en Inglés | MEDLINE | ID: mdl-36385191

RESUMEN

3D with volume rendering and the more recently described technique of cinematic rendering are post-processing techniques that create reconstructions of cross sectional imaging data which enhance image interpretation. This review illustrates the potential applications of volume rendering, 3D, and cinematic rendering in the evaluation of abdominopelvic pathology in the peripartum period. These techniques show promise in improving visualization of pelvic structures, vascular mapping, highlighting textural differences between tissues, and improving understanding of spatial relationships.


Asunto(s)
Periodo Periparto , Tomografía Computarizada por Rayos X , Humanos , Tomografía Computarizada por Rayos X/métodos , Imagenología Tridimensional/métodos , Interpretación de Imagen Radiográfica Asistida por Computador/métodos
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