Search results for "BI-RADS"

Focal breast lesion characterization according to the BI-RADS US lexicon: role of a computer-aided decision-making support

2018

Objectives: to assess the diagnostic performance of a computer-guided decision- making software (S-Detect) in the US characterization of focal breast lesions (FBLs), according to the radiologist's experience. Materials and Methods: 300 FBLs (size: 2.6-47.2 mm; mean: 13.2 mm) in 255 patients (mean age: 51 years) were prospectively assessed in consensus according to BIRADS US lexicon by two experienced radiologists without and with S-Detect; to evaluate intra and inter-observer agreement, the same 300 FBLs were independently evaluated by two residents at baseline and after 3 months. Results: 120/300 (40%) FBLs were malignant, 2/300 (0.7%) high-risk and 178/300 (59.3%) benign. Experts review s…

Imaging findings of primary breast sarcoma : results of a first multicenter study

2016

Abstract Purpose To investigate imaging findings in patients with primary breast sarcoma (PBS). Materials and methods A retrospective search in the databases of 10 radiological departments in Germany from 2000 to 2011 was performed. Only histologically proven cases of PBS were included into the study. Mammography was available in 31 patients (33 lesions), ultrasound images in 24 patients (24 lesions), and for 10 patients (14 lesions) magnetic resonance imaging (MRI) of the breast was performed. The breast findings were classified according to the American College of Radiology Breast Imaging Reporting and Data Systems (BI-RADS) 5th edition categories. Collected data were evaluated by means o…

S-Detect characterization of focal solid breast lesions: a prospective analysis of inter-reader agreement for US BI-RADS descriptors

2020

Background: To assess inter-reader agreement for US BI-RADS descriptors using S-Detect: a computer-guided decision-making software assisting in US morphologic analysis. Methods: 73 solid focal breast lesions (FBLs) (mean size: 15.9 mm) in 73 consecutive women (mean age: 51 years) detected at US were randomly and independently assessed according to the BI-RADS US lexicon, without and with S-Detect, by five independent reviewers. US-guided core-biopsy and 24-month follow-up were considered as standard of reference. Kappa statistics were calculated to assess inter-operator agreement, between the baseline and after S-Detect evaluation. Agreement was graded as poor (≤ 0.20), moderate (0.21–0.40)…

ADVANCEMENTS IN COMPUTER-AIDED BI-RADS US CHARACTERIZATION OF FOCAL BREAST LESIONS: CLINICAL ASSESSMENT OF A NEW SOFTWARE RELEASE OF S-DETECT

2018

Breast Ultra-Sound image segmentation: an optimization approach based on super-pixels and high-level descriptors

2015

International audience; Breast cancer is the second most common cancer and the leading cause of cancer death among women. Medical imaging has become an indispensable tool for its diagnosis and follow up. During the last decade, the medical community has promoted to incorporate Ultra-Sound (US) screening as part of the standard routine. The main reason for using US imaging is its capability to differentiate benign from malignant masses, when compared to other imaging techniques. The increasing usage of US imaging encourages the development of Computer Aided Diagnosis (CAD) systems applied to Breast Ultra-Sound (BUS) images. However accurate delineations of the lesions and structures of the b…

An optimization approach to segment breast lesions in ultra-sound images using clinically validated visual cues

2015

International audience; As long as breast cancer remains the leading cause of cancer deaths among female population world wide, developing tools to assist radiologists during the diagnosis process is necessary. However, most of the technologies developed in the imaging laboratories are rarely integrated in this assessing process, as they are based on information cues differing from those used by clinicians. In order to grant Computer Aided Diagnosis (CAD) systems with these information cues when performing non-aided diagnosis, better segmentation strategies are needed to automatically produce accurate delineations of the breast structures. This paper proposes a highly modular and flexible f…

Impact of the Covid-19 pandemic on diagnosis of breast cancer at the Oncology Center of Latvia 2020

2022

Krūts vēzis ir visbiežāk sastopamais ļaundabīgais audzējs sievietēm pasaulē. Latvijā ir valsts organizēta krūts vēža skrīninga programma sievietēm vecumā no 50 līdz 69 gadiem, tomēr krūts vēža skrīninga programmas atsaucība ir zema, kas varētu būt iemesls augstajam mirstības rādītājam. Covid-19 pandēmijas dēļ 2020. gadā Latvijā onkoloģisko pacientu diagnostika un ārstēšana netika pārtraukta, taču periodā no 13. marta līdz 10. jūnijam tika īslaicīgi pārtraukta skrīninga uzaicinājuma vēstuļu izsūtīšana. Kā arī nereti pacienti ar krūts vēža simptomiem un sūdzībām nevērsās pie ārsta, jo pandēmijas laikā atturētājs apmeklēt ārstniecības iestādi. Minētie faktori varētu rezultēties ar vēl novēlotā…

Utilidad de los informes estructurados basados en una plataforma web para el diagnóstico por imagen en patología mamaria

2015

El cáncer de mama es una enfermedad con un gran impacto sobre la salud poblacional. A pesar de los avances en esta enfermedad, la mortalidad sigue siendo elevada, por lo que es importante investigar en otros campos y herramientas como por ejemplo en el ámbito de la recogida de datos de forma estandarizada, para recoger información de forma estructurada, decisiones protocolizadas y más objetivas, mejorando esto el pronóstico de la enfermedad. Con respecto a las necesidades actuales referentes fundamentalmente a los sistemas de información, los desarrollos realizados en esta Tesis Doctoral combinan la aplicación de tecnologías y estándares de la información. La hipótesis de trabajo de esta te…

Magnētiskās rezonanses  un patohistoloģiskās izvērtēšanas salīdzinošs pētījums krūts dziedzera audzēja pacientēm

2021

Ievads. Ar katru gadu krūts vēža incidence pieaug arī gados jaunām sievietēm. Lai diagnosticētu krūts vēzi, ir jāveic gan radioloģiskā, gan patohistoloģiskā izmeklēšana. Magnētskas rezonanses (MR) rezultāts ir atkarīgs no precīzas iegūto datu interpretācijas. Bieži vien diagnozes precizēšanai ir nepieciešama arī ārsta patologa slēdziens. Pētījuma mērķis. Noskaidrot, vai, izmantojot tikai MR krūts izmeklēšanā, ir iespējams precīzi diagnosticēt labdabīgu vai ļaundabīgu krūts veidojumu, nepielietojot biopsiju. Materiāli un metodes. Retrospektīvs šķērsgriezuma pētījums tika veikts Rīgas Austrumu Klīniskās universitātes slimnīcā. Pētījumā tika iekļautas 100 pacientes ar krūts vēzi. No Latvijas O…

Automated classification of focal breast lesions according to S-detect: validation and role as a clinical and teaching tool

2018

Abstract PURPOSE: To assess the diagnostic performance and the potential as a teaching tool of S-detect in the assessment of focal breast lesions. METHODS: 61 patients (age 21-84 years) with benign breast lesions in follow-up or candidate to pathological sampling or with suspicious lesions candidate to biopsy were enrolled. The study was based on a prospective and on a retrospective phase. In the prospective phase, after completion of baseline US by an experienced breast radiologist and S-detect assessment, 5 operators with different experience and dedication to breast radiology performed elastographic exams. In the retrospective phase, the 5 operators performed a retrospective assessment a…