LIVIVO - Das Suchportal für Lebenswissenschaften

switch to English language
Erweiterte Suche

Suchergebnis

Treffer 1 - 3 von insgesamt 3

Suchoptionen

  1. Artikel ; Online: A Regression Model for Predicting Shape Deformation after Breast Conserving Surgery.

    Zolfagharnasab, Hooshiar / Bessa, Sílvia / Oliveira, Sara P / Faria, Pedro / Teixeira, João F / Cardoso, Jaime S / Oliveira, Hélder P

    Sensors (Basel, Switzerland)

    2018  Band 18, Heft 1

    Abstract: Breast cancer treatments can have a negative impact on breast aesthetics, in case when surgery is intended to intersect tumor. For many years mastectomy was the only surgical option, but more recently breast conserving surgery (BCS) has been promoted as ... ...

    Abstract Breast cancer treatments can have a negative impact on breast aesthetics, in case when surgery is intended to intersect tumor. For many years mastectomy was the only surgical option, but more recently breast conserving surgery (BCS) has been promoted as a liable alternative to treat cancer while preserving most part of the breast. However, there is still a significant number of BCS intervened patients who are unpleasant with the result of the treatment, which leads to self-image issues and emotional overloads. Surgeons recognize the value of a tool to predict the breast shape after BCS to facilitate surgeon/patient communication and allow more educated decisions; however, no such tool is available that is suited for clinical usage. These tools could serve as a way of visually sensing the aesthetic consequences of the treatment. In this research, it is intended to propose a methodology for predict the deformation after BCS by using machine learning techniques. Nonetheless, there is no appropriate dataset containing breast data before and after surgery in order to train a learning model. Therefore, an in-house semi-synthetic dataset is proposed to fulfill the requirement of this research. Using the proposed dataset, several learning methodologies were investigated, and promising outcomes are obtained.
    Mesh-Begriff(e) Breast ; Breast Neoplasms ; Humans ; Mastectomy ; Mastectomy, Segmental
    Sprache Englisch
    Erscheinungsdatum 2018-01-09
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s18010167
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

    Zusatzmaterialien

    Kategorien

    Über subito bestellen

    Dieser Service ist kostenpflichtig (siehe Lieferbedingungen von subito). Bestellungen, die einen Artikel nebst Supplementary Material umfassen, werden grundsätzlich wie mehrfache Bestellungen bearbeitet. Gebühren fallen in diesen Fällen für jede einzelne Bestellung an.

  2. Artikel ; Online: 3D digital breast cancer models with multimodal fusion algorithms.

    Bessa, Sílvia / Gouveia, Pedro F / Carvalho, Pedro H / Rodrigues, Cátia / Silva, Nuno L / Cardoso, Fátima / Cardoso, Jaime S / Oliveira, Hélder P / Cardoso, Maria João

    Breast (Edinburgh, Scotland)

    2020  Band 49, Seite(n) 281–290

    Abstract: Breast cancer image fusion consists of registering and visualizing different sets of a patient synchronized torso and radiological images into a 3D model. Breast spatial interpretation and visualization by the treating physician can be augmented with a ... ...

    Abstract Breast cancer image fusion consists of registering and visualizing different sets of a patient synchronized torso and radiological images into a 3D model. Breast spatial interpretation and visualization by the treating physician can be augmented with a patient-specific digital breast model that integrates radiological images. But the absence of a ground truth for a good correlation between surface and radiological information has impaired the development of potential clinical applications. A new image acquisition protocol was designed to acquire breast Magnetic Resonance Imaging (MRI) and 3D surface scan data with surface markers on the patient's breasts and torso. A patient-specific digital breast model integrating the real breast torso and the tumor location was created and validated with a MRI/3D surface scan fusion algorithm in 16 breast cancer patients. This protocol was used to quantify breast shape differences between different modalities, and to measure the target registration error of several variants of the MRI/3D scan fusion algorithm. The fusion of single breasts without the biomechanical model of pose transformation had acceptable registration errors and accurate tumor locations. The performance of the fusion algorithm was not affected by breast volume. Further research and virtual clinical interfaces could lead to fast integration of this fusion technology into clinical practice.
    Mesh-Begriff(e) Adult ; Algorithms ; Breast/diagnostic imaging ; Breast Neoplasms/diagnostic imaging ; Computer Simulation ; Female ; Humans ; Imaging, Three-Dimensional/methods ; Magnetic Resonance Imaging/methods ; Middle Aged ; Models, Anatomic ; Multimodal Imaging/methods
    Sprache Englisch
    Erscheinungsdatum 2020-01-03
    Erscheinungsland Netherlands
    Dokumenttyp Evaluation Study ; Journal Article
    ZDB-ID 1143210-x
    ISSN 1532-3080 ; 0960-9776
    ISSN (online) 1532-3080
    ISSN 0960-9776
    DOI 10.1016/j.breast.2019.12.016
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

    Zusatzmaterialien

    Kategorien

    Verfügbar in ZB MED Köln/Königswinter

    Zs.A 3620: Hefte anzeigen Standort:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 588: Hefte anzeigen

    Über subito bestellen

    Dieser Service ist kostenpflichtig (siehe Lieferbedingungen von subito). Bestellungen, die einen Artikel nebst Supplementary Material umfassen, werden grundsätzlich wie mehrfache Bestellungen bearbeitet. Gebühren fallen in diesen Fällen für jede einzelne Bestellung an.

  3. Artikel ; Online: Three-Dimensional Planning Tool for Breast Conserving Surgery: A Technological Review.

    Oliveira, Sara P / Morgado, Pedro / Gouveia, Pedro F / Teixeira, João F / Bessa, Silvia / Monteiro, João P / Zolfagharnasab, Hooshiar / Reis, Marta / Silva, Nuno L / Veiga, Diana / Cardoso, Maria J / Oliveira, Helder P / Ferreira, Manuel João

    Critical reviews in biomedical engineering

    2019  Band 46, Heft 6, Seite(n) 523–580

    Abstract: Breast cancer is one of the most common malignancies affecting women worldwide. However, despite its incidence trends have increased, the mortality rate has significantly decreased. The primary concern in any cancer treatment is the oncological outcome ... ...

    Abstract Breast cancer is one of the most common malignancies affecting women worldwide. However, despite its incidence trends have increased, the mortality rate has significantly decreased. The primary concern in any cancer treatment is the oncological outcome but, in the case of breast cancer, the surgery aesthetic result has become an important quality indicator for breast cancer patients. In this sense, an adequate surgical planning and prediction tool would empower the patient regarding the treatment decision process, enabling a better communication between the surgeon and the patient and a better understanding of the impact of each surgical option. To develop such tool, it is necessary to create complete 3D model of the breast, integrating both inner and outer breast data. In this review, we thoroughly explore and review the major existing works that address, directly or not, the technical challenges involved in the development of a 3D software planning tool in the field of breast conserving surgery.
    Mesh-Begriff(e) Breast/diagnostic imaging ; Breast/pathology ; Breast Neoplasms/diagnosis ; Breast Neoplasms/surgery ; Female ; Humans ; Imaging, Three-Dimensional/methods ; Mastectomy, Segmental/methods ; Patient Care Planning ; Preoperative Period ; Software
    Sprache Englisch
    Erscheinungsdatum 2019-02-25
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 1411103-2
    ISSN 1943-619X ; 0278-940X
    ISSN (online) 1943-619X
    ISSN 0278-940X
    DOI 10.1615/CritRevBiomedEng.2018028476
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

    Zusatzmaterialien

    Kategorien

    Verfügbar in ZB MED Köln/Königswinter

    Zs.A 1104: Hefte anzeigen Standort:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

    Über subito bestellen

    Dieser Service ist kostenpflichtig (siehe Lieferbedingungen von subito). Bestellungen, die einen Artikel nebst Supplementary Material umfassen, werden grundsätzlich wie mehrfache Bestellungen bearbeitet. Gebühren fallen in diesen Fällen für jede einzelne Bestellung an.

Zum Seitenanfang