Esta página se tradujo automáticamente y no se garantiza la precisión de la traducción. por favor refiérase a versión inglesa para un texto fuente.

Gynaecologic Organ Segmentation and Motion Tracking Using Ultrasound (GENIUS)

20 de mayo de 2016 actualizado por: Royal Marsden NHS Foundation Trust
This study will establish the feasibility and accuracy of localising and outlining the uterus on ultrasound images using both healthy volunteer and cervical patient cohorts. This will enable us to determine whether or not ultrasound will be a good option to ensure the correct patient position prior to radiotherapy for cervical cancer patients.

Descripción general del estudio

Estado

Desconocido

Descripción detallada

Radiotherapy is an established and effective method for treating cancer, but it can have negative side effects if healthy tissues are also exposed to radiation. In the case of cervical cancer, the bladder, small bowel, and bone marrow are often irradiated, which can result in both short-term and long-term side effects. There are sophisticated radiation delivery techniques (known as IMRT and VMAT) which are capable of administering the radiation dose in a precise and controlled manner so that the intended target is irradiated and the healthy tissue is spared. However, the only way for these sophisticated radiation delivery methods to work in cervical cancer is to localise the uterus prior to radiotherapy treatment so that the lineup between the radiation beam and the target is ensured. The uterus is a relatively mobile organ, and can have very different positions within the body depending on the patient position, bladder volume, tumour site, etc. Currently, we are unable to take advantage of the sophisticated radiation delivery techniques as we have no reliable way of seeing where the uterus is. Ultrasound is a promising way to overcome this problem.

Ultrasound is non-ionising, has good soft-tissue contrast, and can easily be incorporated into the radiation treatment room. We wish to establish the feasibility and accuracy of localising and outlining the uterus on ultrasound images. This will enable us to determine whether or not ultrasound will be a good option to ensure the correct patient position prior to radiotherapy for cervical cancer patients.

Tipo de estudio

De observación

Inscripción (Anticipado)

25

Contactos y Ubicaciones

Esta sección proporciona los datos de contacto de quienes realizan el estudio e información sobre dónde se lleva a cabo este estudio.

Ubicaciones de estudio

    • Surrey
      • Sutton, Surrey, Reino Unido, SM2 5PT
        • Reclutamiento
        • Royal Marsden Hospital NHS Foundation Trust
        • Contacto:
        • Sub-Investigador:
          • Sarah Mason

Criterios de participación

Los investigadores buscan personas que se ajusten a una determinada descripción, denominada criterio de elegibilidad. Algunos ejemplos de estos criterios son el estado de salud general de una persona o tratamientos previos.

Criterio de elegibilidad

Edades elegibles para estudiar

18 años y mayores (Adulto, Adulto Mayor)

Acepta Voluntarios Saludables

No

Géneros elegibles para el estudio

Femenino

Método de muestreo

Muestra no probabilística

Población de estudio

healthy volunteer cohort: Healthy female adult volunteers patient volunteer cohort: Patients receiving radiotherapy for cervical cancer who will receive a planning CT scan and daily CBCT scanning as part of their treatment.

Descripción

Inclusion Criteria:

  • healthy volunteer cohort: Healthy female adult volunteers
  • patient volunteer cohort: Patients receiving radiotherapy for cervical cancer who will receive a planning CT scan and daily CBCT scanning as part of their treatment.

Exclusion Criteria:

  • both cohorts: Women who have received hysterectomies and women who are pregnant at the time of the study

Plan de estudios

Esta sección proporciona detalles del plan de estudio, incluido cómo está diseñado el estudio y qué mide el estudio.

¿Cómo está diseñado el estudio?

Detalles de diseño

  • Modelos observacionales: Grupo
  • Perspectivas temporales: Futuro

Cohortes e Intervenciones

Grupo / Cohorte
Healthy volunteers
Healthy female adult volunteers
Cervical cancer patients
Patients receiving radiotherapy for cervical cancer at the Royal Marsden who will receive a planning CT scan and daily CBCT scanning as part of their treatment.

¿Qué mide el estudio?

Medidas de resultado primarias

Medida de resultado
Medida Descripción
Periodo de tiempo
Percentage of ultrasound scans with dice similarity coefficient (DSC) of >0.90 between algorithm-derived contour and ground-truth contour
Periodo de tiempo: DSC calculated at 24 time points for each healthy volunteer (3 days)
The DSC between the ground truth contour and the algorithm derived contour will indicate the accuracy of the segmentation algorithm.
DSC calculated at 24 time points for each healthy volunteer (3 days)
Coefficient of variation between of expert-drawn contours on ultrasound and expert-drawn contours on CBCT
Periodo de tiempo: COV calculated at a minimum of 3 time points during 6 weeks that the patient is receiving radiation therapy
A small COV will indicate greater clinician/expert confidence in segmenting the uterus
COV calculated at a minimum of 3 time points during 6 weeks that the patient is receiving radiation therapy

Medidas de resultado secundarias

Medida de resultado
Medida Descripción
Periodo de tiempo
Bland-Altman plot (healthy volunteer cohort)
Periodo de tiempo: 1 day
Used to describe the level of agreement between MR and ultrasound images of the uterus.
1 day
Uterine center of mass displacement on ultrasound (healthy volunteer cohort)
Periodo de tiempo: 3 days
Assess both inter- and intra- fractional motion of the uterus.
3 days
Expert confidence scores for each imaging modality (ultrasound and MR) (healthy volunteer cohort)
Periodo de tiempo: from data collected over 3 days
Determine if uterine segmentation on ultrasound receives acceptable confidence score compared with MR
from data collected over 3 days
Bland-Altman plot (patient volunteer cohort)
Periodo de tiempo: 6 weeks
describe level of agreement among the COV, circularity index, volume, and centre of mass position betweeen ultrasound, CT, and CBCT.
6 weeks
Expert confidence scores for each imaging modality (ultrasound, CT, and CBCT) (patient volunteer cohort)
Periodo de tiempo: from data collected over 6 weeks
Determine if uterine segmentation on ultrasound receives greater confidence score compared with CT and CBCT.
from data collected over 6 weeks

Colaboradores e Investigadores

Aquí es donde encontrará personas y organizaciones involucradas en este estudio.

Investigadores

  • Investigador principal: Susan Lalondrelle, Royal Marsden Hospital NHS Foundation Trust

Fechas de registro del estudio

Estas fechas rastrean el progreso del registro del estudio y los envíos de resultados resumidos a ClinicalTrials.gov. Los registros del estudio y los resultados informados son revisados ​​por la Biblioteca Nacional de Medicina (NLM) para asegurarse de que cumplan con los estándares de control de calidad específicos antes de publicarlos en el sitio web público.

Fechas importantes del estudio

Inicio del estudio

1 de septiembre de 2015

Finalización primaria (Anticipado)

1 de septiembre de 2016

Finalización del estudio (Anticipado)

1 de octubre de 2016

Fechas de registro del estudio

Enviado por primera vez

17 de julio de 2015

Primero enviado que cumplió con los criterios de control de calidad

17 de julio de 2015

Publicado por primera vez (Estimar)

21 de julio de 2015

Actualizaciones de registros de estudio

Última actualización publicada (Estimar)

23 de mayo de 2016

Última actualización enviada que cumplió con los criterios de control de calidad

20 de mayo de 2016

Última verificación

1 de mayo de 2016

Más información

Esta información se obtuvo directamente del sitio web clinicaltrials.gov sin cambios. Si tiene alguna solicitud para cambiar, eliminar o actualizar los detalles de su estudio, comuníquese con register@clinicaltrials.gov. Tan pronto como se implemente un cambio en clinicaltrials.gov, también se actualizará automáticamente en nuestro sitio web. .

Suscribir