Literature DB >> 34072366

Radiomics in Oncology, Part 2: Thoracic, Genito-Urinary, Breast, Neurological, Hematologic and Musculoskeletal Applications.

Damiano Caruso1, Michela Polici1, Marta Zerunian1, Francesco Pucciarelli1, Gisella Guido1, Tiziano Polidori1, Federica Landolfi1, Matteo Nicolai1, Elena Lucertini1, Mariarita Tarallo2, Benedetta Bracci1, Ilaria Nacci1, Carlotta Rucci1, Marwen Eid3, Elsa Iannicelli1, Andrea Laghi1.   

Abstract

Radiomics has the potential to play a pivotal role in oncological translational imaging, particularly in cancer detection, prognosis prediction and response to therapy evaluation. To date, several studies established Radiomics as a useful tool in oncologic imaging, able to support clinicians in practicing evidence-based medicine, uniquely tailored to each patient and tumor. Mineable data, extracted from medical images could be combined with clinical and survival parameters to develop models useful for the clinicians in cancer patients' assessment. As such, adding Radiomics to traditional subjective imaging may provide a quantitative and extensive cancer evaluation reflecting histologic architecture. In this Part II, we present an overview of radiomic applications in thoracic, genito-urinary, breast, neurological, hematologic and musculoskeletal oncologic applications.

Entities:  

Keywords:  Oncologic Imaging; Radiomics; Radiomics technical principles

Year:  2021        PMID: 34072366     DOI: 10.3390/cancers13112681

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  76 in total

1.  Magnetic resonance imaging radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study.

Authors:  He Zhang; Yunfei Mao; Xiaojun Chen; Guoqing Wu; Xuefen Liu; Peng Zhang; Yu Bai; Pengcong Lu; Weigen Yao; Yuanyuan Wang; Jinhua Yu; Guofu Zhang
Journal:  Eur Radiol       Date:  2019-04-08       Impact factor: 5.315

2.  Assessment of response to tyrosine kinase inhibitors in metastatic renal cell cancer: CT texture as a predictive biomarker.

Authors:  Vicky Goh; Balaji Ganeshan; Paul Nathan; Jaspal K Juttla; Anup Vinayan; Kenneth A Miles
Journal:  Radiology       Date:  2011-08-03       Impact factor: 11.105

3.  PET/CT radiomics in breast cancer: promising tool for prediction of pathological response to neoadjuvant chemotherapy.

Authors:  Lidija Antunovic; Rita De Sanctis; Luca Cozzi; Margarita Kirienko; Andrea Sagona; Rosalba Torrisi; Corrado Tinterri; Armando Santoro; Arturo Chiti; Renata Zelic; Martina Sollini
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-03-26       Impact factor: 9.236

4.  Combining DWI radiomics features with transurethral resection promotes the differentiation between muscle-invasive bladder cancer and non-muscle-invasive bladder cancer.

Authors:  Shuaishuai Xu; Qiuying Yao; Guiqin Liu; Di Jin; Haige Chen; Jianrong Xu; Zhicheng Li; Guangyu Wu
Journal:  Eur Radiol       Date:  2019-11-26       Impact factor: 5.315

Review 5.  Diagnosis and management of peripheral lung nodule.

Authors:  Taha Khan; Yasir Usman; Tony Abdo; Fawad Chaudry; Jean I Keddissi; Houssein A Youness
Journal:  Ann Transl Med       Date:  2019-08

6.  Standardization of CT radiomics features for multi-center analysis: impact of software settings and parameters.

Authors:  Arianna Defeudis; Cristina De Mattia; Francesco Rizzetto; Francesca Calderoni; Simone Mazzetti; Alberto Torresin; Angelo Vanzulli; Daniele Regge; Valentina Giannini
Journal:  Phys Med Biol       Date:  2020-06-23       Impact factor: 3.609

7.  Multiparametric MRI-Based Radiomics for Prostate Cancer Screening With PSA in 4-10 ng/mL to Reduce Unnecessary Biopsies.

Authors:  Yafei Qi; Shuaitong Zhang; Jingwei Wei; Gumuyang Zhang; Jing Lei; Weigang Yan; Yu Xiao; Shuang Yan; Huadan Xue; Feng Feng; Hao Sun; Jie Tian; Zhengyu Jin
Journal:  J Magn Reson Imaging       Date:  2019-12-06       Impact factor: 4.813

8.  CT-based radiomics to predict the pathological grade of bladder cancer.

Authors:  Gumuyang Zhang; Lili Xu; Lun Zhao; Li Mao; Xiuli Li; Zhengyu Jin; Hao Sun
Journal:  Eur Radiol       Date:  2020-06-29       Impact factor: 5.315

9.  Classification of the glioma grading using radiomics analysis.

Authors:  Hwan-Ho Cho; Seung-Hak Lee; Jonghoon Kim; Hyunjin Park
Journal:  PeerJ       Date:  2018-11-22       Impact factor: 2.984

10.  MRI-Derived Radiomics to Guide Post-operative Management for High-Risk Prostate Cancer.

Authors:  Vincent Bourbonne; Martin Vallières; François Lucia; Laurent Doucet; Dimitris Visvikis; Valentin Tissot; Olivier Pradier; Mathieu Hatt; Ulrike Schick
Journal:  Front Oncol       Date:  2019-08-27       Impact factor: 6.244

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  7 in total

1.  Predicting the WHO/ISUP Grade of Clear Cell Renal Cell Carcinoma Through CT-Based Tumoral and Peritumoral Radiomics.

Authors:  Yanqing Ma; Zheng Guan; Hong Liang; Hanbo Cao
Journal:  Front Oncol       Date:  2022-02-14       Impact factor: 6.244

2.  CT-based radiomics for prediction of therapeutic response to Everolimus in metastatic neuroendocrine tumors.

Authors:  Damiano Caruso; Michela Polici; Maria Rinzivillo; Marta Zerunian; Ilaria Nacci; Matteo Marasco; Ludovica Magi; Mariarita Tarallo; Simona Gargiulo; Elsa Iannicelli; Bruno Annibale; Andrea Laghi; Francesco Panzuto
Journal:  Radiol Med       Date:  2022-06-18       Impact factor: 6.313

3.  The Application of DTCWT on MRI-Derived Radiomics for Differentiation of Glioblastoma and Solitary Brain Metastases.

Authors:  Wen-Feng Wu; Chia-Wei Shen; Kuan-Ming Lai; Yi-Jen Chen; Eugene C Lin; Chien-Chin Chen
Journal:  J Pers Med       Date:  2022-08-03

4.  Radiomic Cancer Hallmarks to Identify High-Risk Patients in Non-Metastatic Colon Cancer.

Authors:  Damiano Caruso; Michela Polici; Marta Zerunian; Antonella Del Gaudio; Emanuela Parri; Maria Agostina Giallorenzi; Domenico De Santis; Giulia Tarantino; Mariarita Tarallo; Filippo Maria Dentice di Accadia; Elsa Iannicelli; Giovanni Maria Garbarino; Giulia Canali; Paolo Mercantini; Enrico Fiori; Andrea Laghi
Journal:  Cancers (Basel)       Date:  2022-07-15       Impact factor: 6.575

Review 5.  Challenges in Glioblastoma Radiomics and the Path to Clinical Implementation.

Authors:  Philip Martin; Lois Holloway; Peter Metcalfe; Eng-Siew Koh; Caterina Brighi
Journal:  Cancers (Basel)       Date:  2022-08-12       Impact factor: 6.575

Review 6.  State of the Art and New Concepts in Giant Cell Tumor of Bone: Imaging Features and Tumor Characteristics.

Authors:  Anna Parmeggiani; Marco Miceli; Costantino Errani; Giancarlo Facchini
Journal:  Cancers (Basel)       Date:  2021-12-15       Impact factor: 6.639

7.  The Role of Chest CT Radiomics in Diagnosis of Lung Cancer or Tuberculosis: A Pilot Study.

Authors:  Lekshmi Thattaamuriyil Padmakumari; Gisella Guido; Damiano Caruso; Ilaria Nacci; Antonella Del Gaudio; Marta Zerunian; Michela Polici; Renuka Gopalakrishnan; Aziz Kallikunnel Sayed Mohamed; Domenico De Santis; Andrea Laghi; Dania Cioni; Emanuele Neri
Journal:  Diagnostics (Basel)       Date:  2022-03-18
  7 in total

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