Quantification of tumor heterogeneity: from data acquisition to metric generation
Tumors are unique and complex ecosystems, in which heterogeneous cell subpopulations
with variable molecular profiles, aggressiveness, and proliferation potential coexist and …
with variable molecular profiles, aggressiveness, and proliferation potential coexist and …
Ovarian cancer beyond imaging: integration of AI and multiomics biomarkers
High-grade serous ovarian cancer is the most lethal gynaecological malignancy. Detailed
molecular studies have revealed marked intra-patient heterogeneity at the tumour …
molecular studies have revealed marked intra-patient heterogeneity at the tumour …
[HTML][HTML] A systematic review on the use of artificial intelligence in gynecologic imaging–background, state of the art, and future directions
Objective Machine learning, deep learning, and artificial intelligence (AI) are terms that have
made their way into nearly all areas of medicine. In the case of medical imaging, these …
made their way into nearly all areas of medicine. In the case of medical imaging, these …
Radiology and multi-scale data integration for precision oncology
In this Perspective paper we explore the potential of integrating radiological imaging with
other data types, a critical yet underdeveloped area in comparison to the fusion of other multi …
other data types, a critical yet underdeveloped area in comparison to the fusion of other multi …
Prospective clinical research of radiomics and deep learning in oncology: A translational review
Radiomics and deep learning (DL) hold transformative promise and substantial and
significant advances in oncology; however, most methods have been tested in retrospective …
significant advances in oncology; however, most methods have been tested in retrospective …
Radiomics and radiogenomics of ovarian cancer: implications for treatment monitoring and clinical management
C Panico, G Avesani, K Zormpas-Petridis… - Radiologic …, 2023 - radiologic.theclinics.com
Ovarian cancer (OC) is the sixth most common cancer and the fifth cause of cancer-related
death among women. 1 Many pieces of evidence support that high-grade serous OC …
death among women. 1 Many pieces of evidence support that high-grade serous OC …
The potential of photoacoustic imaging in radiation oncology
Radiotherapy is recognized globally as a mainstay of treatment in most solid tumors and is
essential in both curative and palliative settings. Ionizing radiation is frequently combined …
essential in both curative and palliative settings. Ionizing radiation is frequently combined …
Habitat radiomics analysis of pet/ct imaging in high-grade serous ovarian cancer: Application to Ki-67 status and progression-free survival
X Wang, C Xu, M Grzegorzek, H Sun - Frontiers in Physiology, 2022 - frontiersin.org
Purpose: We aim to develop and validate PET/CT image-based radiomics to determine the
Ki-67 status of high-grade serous ovarian cancer (HGSOC), in which we use the metabolic …
Ki-67 status of high-grade serous ovarian cancer (HGSOC), in which we use the metabolic …
MRI-based habitat imaging in cancer treatment: current technology, applications, and challenges
S Li, Y Dai, J Chen, F Yan, Y Yang - Cancer Imaging, 2024 - Springer
Extensive efforts have been dedicated to exploring the impact of tumor heterogeneity on
cancer treatment at both histological and genetic levels. To accurately measure intra-tumoral …
cancer treatment at both histological and genetic levels. To accurately measure intra-tumoral …
Robust imaging habitat computation using voxel-wise radiomics features
Tumor heterogeneity has been postulated as a hallmark of treatment resistance and a cure
constraint in cancer patients. Conventional quantitative medical imaging (radiomics) can be …
constraint in cancer patients. Conventional quantitative medical imaging (radiomics) can be …