Spatial Radiogenomics of Ovarian Cancer

Официальное название

Spatial Radiogenomics of Ovarian Cancer: Implementation of a Lesion-specific 3D-printed Mould Pipeline in the Clinical Workflow for Image-guided Tissue Multi-sampling of Ovarian Tumours

Обзор

The biological spatial and temporal heterogeneity of High Grade Serous Ovarian Carcinoma (HGSOC) severely impacts the effectiveness of therapies and is a determinant of poor outcomes. Current histological evaluation is made on a single tumour sample from a single disease site per patient thus ignoring molecular heterogeneity at the whole-tumour level, key for understanding and overcoming chemotherapy resistance. Imaging can play a crucial role in the development of personalised treatments by fully capturing the disease's heterogeneity. Radiomics quantify the image information by capturing complex patterns related to the tissue microstructure. This information can be complemented with clinical data, liquid biopsies, histological markers and genomics ("radiogenomics") potentially leading to a better prediction of treatment response and outcome. However, the extracted quantitative features usually represent the entire tumour, ignoring the spatial context. On the other hand, radiomics-derived imaging habitats characterize morphologically distinct tumour areas and are more appropriate for monitoring the changes in the tumour microenvironment over the course of therapy. In order to successfully incorporate the habitat-imaging approach to the clinic, histological and biological validation are crucial. However, histological validation of imaging is not a trivial task, due to issues such as unmatched spatial resolution, tissue deformations, lack of landmarks and imprecise cutting. Patient-specific three-dimensional (3D) moulds are an innovative tool for accurate co-registration between imaging and histology. The aim of this study is to optimize and integrate such an automated computational 3D-mould co-registration approach in the clinical work-flow in patients with HGSOC. The validated radiomics-based tumour habitats will also be used to guide tissue sampling to decipher their underlying biology using genomics analysis and explore novel prediction markers.

Первичные конечные точки

• Implementation of the 3D printing pipeline in the clinical setting for recurrent HGSOC [Срок оценки: 3 years]

Вторичные конечные точки (1)

• Biological validation of spatial radiomics in HGSOC [Срок оценки: 3 years]

Критерии участия

Критерии включения

• Patients with suspected HGSOC scheduled to undergo primary debulking surgery (PDS) or interval debulking surgery (IDS) will be recruited in the study. Prior histopathological confirmation of HGSOC will be required for IDS. The PDS cases without prior histological diagnosis will be selected on the basis of clinical suspicion (elevated serum CA125 and CT imaging).

Критерии исключения

• Patients less than 18 Years old
• Pregnancy
• Non-serous high grade epithelial ovarian cancer (serous low grade, mucinous, clear cell carcinoma, endometrioid or non-epithelial ovarian cancer)
• Early stage disease (I and II stage)
• CT or MRI scan not available

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Нет

Дизайн исследования

Модель наблюдения

Когортное

Центры проведения

Италия · 1 центр

• Advanced Radiology Center — Roma

Идентификаторы

NCT: NCT06324175 · 6353

Первоисточники (государственные реестры)

• ClinicalTrials.gov (NIH, США)

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