Cargando…

Combination of Radiomics and Machine Learning with Diffusion-Weighted MR Imaging for Clinical Outcome Prognostication in Cervical Cancer

Objectives: To explore the potential of Radiomics alone and in combination with a diffusion-weighted derived quantitative parameter, namely the apparent diffusion co-efficient (ADC), using supervised classification algorithms in the prediction of outcomes and prognosis. Materials and Methods: Retros...

Descripción completa

Detalles Bibliográficos
Autores principales:	Jajodia, Ankush, Gupta, Ayushi, Prosch, Helmut, Mayerhoefer, Marius, Mitra, Swarupa, Pasricha, Sunil, Mehta, Anurag, Puri, Sunil, Chaturvedi, Arvind
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8396356/ https://www.ncbi.nlm.nih.gov/pubmed/34449713 http://dx.doi.org/10.3390/tomography7030031

Ejemplares similares

Combined Diagnostic Accuracy of Diffusion and Perfusion MR Imaging to Differentiate Radiation-Induced Necrosis from Recurrence in Glioblastoma
por: Jajodia, Ankush, et al.
Publicado: (2022)

Imaging in corona virus disease 2019 (COVID-19)—A Scoping review
por: Jajodia, Ankush, et al.
Publicado: (2020)

Rare Case of Spontaneous Pneumorrhachis in a Young Male with COVID-19
por: Reddy, Vikas, et al.
Publicado: (2021)

Role of ADC values in assessing clinical response and identifying residual disease post-chemo radiation in uterine cervix cancer
por: Jajodia, Ankush, et al.
Publicado: (2019)

Large Symptomatic Sclerosing Pneumocytoma in a Young Male Smoker—A Rare and Deceptive Presentation
por: Pasricha, Sunil, et al.
Publicado: (2022)

Pearls and pitfalls in lung cancer staging
por: Beer, Lucian, et al.
Publicado: (2020)

44P Inter-reader variability of lung parenchymal observations on chest CT among COVID-19 RT-PCR negative lung cancer patients treated with chemo-radiation: Potential pitfalls of pulmonary findings in different readers with various experience levels
por: Jajodia, A., et al.
Publicado: (2021)

Hyperprogression after Immunotherapy: Nivolumab. Analysis of Imaging Findings Associated with Hyperprogression and Tumor Growth Kinetics
por: Singla, Rishu, et al.
Publicado: (2021)

Analysis of Spatial Heterogeneity of Responses in Metastatic Sites in Renal Cell Carcinoma Patients Treated with Nivolumab
por: Jajodia, Ankush, et al.
Publicado: (2022)

SMARCA4/BRG1 protein-deficient thoracic tumors dictate re-examination of small biopsy reporting in non–small cell lung cancer
por: Mehta, Anurag, et al.
Publicado: (2021)

Molecular Response Assessment with Immune Adaptive PERCIST in Lung Cancer Patients Treated with Nivolumab: Is It Better Than iRECIST?
por: Gupta, Manoj, et al.
Publicado: (2022)

Isolated intrathyroidal metastasis revealing an occult lung adenocarcinoma
por: Pasricha, Sunil, et al.
Publicado: (2012)

An unusual scrotal mass: Morphological clues
por: Agarwal, Poojan, et al.
Publicado: (2021)

Radiomics-based machine learning analysis and characterization of breast lesions with multiparametric diffusion-weighted MR
por: Sun, Kun, et al.
Publicado: (2021)

Particular findings on lung CT in patients undergoing immunotherapy for bronchogenic carcinoma
por: Beer, Lucian, et al.
Publicado: (2020)

Cytomorphological Categorization of Thyroid Lesions according to The Bethesda System for Reporting Thyroid Cytology and Correlation with their Histological Outcome: An Indian Oncology Centre Experience
por: Kamboj, Meenakshi, et al.
Publicado: (2022)

Radiomics score predicts acute respiratory distress syndrome based on the initial CT scan after trauma
por: Röhrich, Sebastian, et al.
Publicado: (2021)

Studies on the time course of apparent diffusion coefficient and signal intensities on T2- and diffusion-weighted MR Imaging in acute cerebral ischemic stroke
por: Srivastava, Ajai K., et al.
Publicado: (2008)

Primary Gastric Burkitt’s Lymphoma
por: Mitra, Swarupa, et al.
Publicado: (2014)

Correction to: Radiomics score predicts acute respiratory distress syndrome based on the initial CT scan after trauma
por: Röhrich, Sebastian, et al.
Publicado: (2021)

MR‐Based Radiomics Nomogram of Cervical Cancer in Prediction of the Lymph‐Vascular Space Invasion preoperatively
por: Li, Zhicong, et al.
Publicado: (2018)

Radiomic features of glucose metabolism enable prediction of outcome in mantle cell lymphoma
por: Mayerhoefer, Marius E., et al.
Publicado: (2019)

Non-Invasive Assessment of Breast Cancer Molecular Subtypes with Multiparametric Magnetic Resonance Imaging Radiomics
por: Leithner, Doris, et al.
Publicado: (2020)

The value of MR-based radiomics in identifying residual disease in patients with carcinoma in situ after cervical conization
por: Song, Mengfan, et al.
Publicado: (2020)

Machine learning: from radiomics to discovery and routine
por: Langs, G., et al.
Publicado: (2018)

Radiomic features of cervical cancer on T2-and diffusion-weighted MRI: Prognostic value in low-volume tumors suitable for trachelectomy
por: Wormald, Benjamin W., et al.
Publicado: (2020)

Diffusion-weighted MRI to detect early response to chemoradiation in cervical cancer: A systematic review and meta-analysis
por: Harry, Vanessa N., et al.
Publicado: (2021)

Diffusion-Weighted MR Imaging of Intracerebral Hemorrhage
por: Kang, Bo Kiung, et al.
Publicado: (2001)

Diffusion-weighted MR imaging in gynecologic cancers
por: Motoshima, Shigenobu, et al.
Publicado: (2011)

Fetal MRI radiomics: non-invasive and reproducible quantification of human lung maturity
por: Prayer, Florian, et al.
Publicado: (2023)

Radiomics for the Detection of Active Sacroiliitis Using MR Imaging
por: Triantafyllou, Matthaios, et al.
Publicado: (2023)

Radiomics in cervical and endometrial cancer
por: Manganaro, Lucia, et al.
Publicado: (2021)

Multifocal peliosis hepatis: MR and diffusion-weighted MR-imaging findings of an atypical case
por: Battal, Bilal, et al.
Publicado: (2010)

Value of Diffusion-Weighted MR Imaging for the Detection of Nephritis
por: Henninger, Benjamin, et al.
Publicado: (2013)

Radiomics prognostication model in glioblastoma using diffusion- and perfusion-weighted MRI
por: Park, Ji Eun, et al.
Publicado: (2020)

Comprehensive integrated analysis of MR and DCE-MR radiomics models for prognostic prediction in nasopharyngeal carcinoma
por: Li, Hailin, et al.
Publicado: (2023)

Diffusion-weighted MR imaging of transplanted kidneys: Preliminary report
por: Wypych-Klunder, Katarzyna, et al.
Publicado: (2014)

Baseline (18)F-FDG PET/CT Radiomics in Classical Hodgkin’s Lymphoma: The Predictive Role of the Largest and the Hottest Lesions
por: Triumbari, Elizabeth Katherine Anna, et al.
Publicado: (2023)

Diffusion MR tractography of the heart
por: Sosnovik, David E, et al.
Publicado: (2009)

Mr. Ring, on the Diffusion of Vaccination
por: Ring, John
Publicado: (1804)

Cannot write session to /tmp/vufind_sessions/sess_o7mk4ru270kenduerioh74fjfj