Radiomics modelling in rectal cancer to predict disease-free survival: evaluation of different approaches.

Tibermacine, H; Rouanet, P; Sbarra, M; Forghani, R; Reinhold, C; Nougaret, S

Tibermacine, H; Rouanet, P; Sbarra, M; Forghani, R; Reinhold, C; Nougaret, S.

Affiliation

Tibermacine H; Radiology Department, Institut du Cancer de Montpellier, University of Montpellier, Montpellier, France.
Rouanet P; Institut de Recherche en Cancérologie de Montpellier, INSERM, U1194, Montpellier, France.
Sbarra M; Surgical Oncology Department, Institut du Cancer de Montpellier, University of Montpellier, Montpellier, France.
Forghani R; Departmental Faculty of Medicine and Surgery, Unit of Diagnostic Imaging and Interventional Radiology, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.
Reinhold C; Augmented Intelligence and Precision Health Laboratory (AIPHL), Department of Radiology and the Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada.
Nougaret S; Augmented Intelligence and Precision Health Laboratory (AIPHL), Department of Radiology and the Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada.

Br J Surg ; 108(10): 1243-1250, 2021 10 23.

Article in En | MEDLINE | ID: mdl-34423347

Subject(s)

Magnetic Resonance Imaging/methods; Models, Statistical; Rectal Neoplasms/diagnostic imaging; Rectal Neoplasms/therapy; Adult; Aged; Aged, 80 and over; Chemoradiotherapy; Disease-Free Survival; Female; Humans; Image Processing, Computer-Assisted; Male; Middle Aged; Neoadjuvant Therapy; Rectal Neoplasms/mortality; Retrospective Studies; Young Adult

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Rectal Neoplasms / Magnetic Resonance Imaging / Models, Statistical Type of study: Guideline / Observational_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limits: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Br J Surg Year: 2021 Type: Article Affiliation country: France

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