Filippo Crimì1, Giulia Capelli2, Gaya Spolverato3, Quoc Riccardo Bao2, Anna Florio1, Sebastiano Milite Rossi1, Diego Cecchin4, Laura Albertoni5, Cristina Campi6, Salvatore Pucciarelli2, Roberto Stramare1. 1. Department of Medicine-DIMED, Institute of Radiology, University Hospital of Padova, Padua, Italy. 2. Clinica Chirurgica I, Department of Surgical, Oncological and Gastroenterological Sciences (DiSCOG), University Hospital of Padova, Via Nicolò Giustiniani 2, 35128, Padua, Italy. 3. Clinica Chirurgica I, Department of Surgical, Oncological and Gastroenterological Sciences (DiSCOG), University Hospital of Padova, Via Nicolò Giustiniani 2, 35128, Padua, Italy. gaya.spolverato@unipd.it. 4. Nuclear Medicine Unit, Department of Medicine-DIMED, University Hospital of Padova, Padua, Italy. 5. Surgical Pathology and Cytopathology Unit, Department of Medicine-DIMED, University Hospital of Padova, Padua, Italy. 6. Department of Mathematics "Tullio Levi-Civita", University of Padova, Padua, Italy.
Abstract
PURPOSE: To determine whether MRI T2-weighted sequences-based texture analysis (TA) can predict histopathological tumor regression grade (TRG) in patients with locally advanced rectal cancer (LARC) undergoing neoadjuvant chemo-radiotherapy (nCRT). METHODS: Data on patients undergoing curative-intent surgery for LARC were collected. Patients with a complete pathological response, or TRG1 according to Mandard's system were classified as responders, while patients with TRG ≥ 2 were classified as non-responders. Tumor TA was performed on each patient's paraxial T2w MRI in both pre- and post-nCRT scans, in order to extract histograms, gray-level co-occurrence matrix (GLCM) and run-length matrix (RLM) texture parameters. For features that showed a significant difference between the two groups, a receiver operating characteristic (ROC) curve was drawn. RESULTS: Overall, 62 patients with LARC, treated with nCRT and resective surgery at our institution between 2013 and 2019 were identified. Only post-nCRT GLCM maximum probability showed a significant difference between the two groups (2909 ± 4479 in responders vs. 6515 ± 8990 in non- responders; p = 0.039); at the ROC curve, Youden index showed a sensitivity of 14% and a specificity of 100% for this parameter. CONCLUSIONS: MRI T2-weighted sequences-based TA was not effective in predicting pathological complete response to nCRT in patients with LARC. Further studies are needed to thoroughly investigate the potential of MRI TA in this setting.
PURPOSE: To determine whether MRI T2-weighted sequences-based texture analysis (TA) can predict histopathological tumor regression grade (TRG) in patients with locally advanced rectal cancer (LARC) undergoing neoadjuvant chemo-radiotherapy (nCRT). METHODS: Data on patients undergoing curative-intent surgery for LARC were collected. Patients with a complete pathological response, or TRG1 according to Mandard's system were classified as responders, while patients with TRG ≥ 2 were classified as non-responders. TumorTA was performed on each patient's paraxial T2w MRI in both pre- and post-nCRT scans, in order to extract histograms, gray-level co-occurrence matrix (GLCM) and run-length matrix (RLM) texture parameters. For features that showed a significant difference between the two groups, a receiver operating characteristic (ROC) curve was drawn. RESULTS: Overall, 62 patients with LARC, treated with nCRT and resective surgery at our institution between 2013 and 2019 were identified. Only post-nCRT GLCM maximum probability showed a significant difference between the two groups (2909 ± 4479 in responders vs. 6515 ± 8990 in non- responders; p = 0.039); at the ROC curve, Youden index showed a sensitivity of 14% and a specificity of 100% for this parameter. CONCLUSIONS: MRI T2-weighted sequences-based TA was not effective in predicting pathological complete response to nCRT in patients with LARC. Further studies are needed to thoroughly investigate the potential of MRI TA in this setting.
Authors: Iram Shahzadi; Alex Zwanenburg; Annika Lattermann; Annett Linge; Christian Baldus; Jan C Peeken; Stephanie E Combs; Markus Diefenhardt; Claus Rödel; Simon Kirste; Anca-Ligia Grosu; Michael Baumann; Mechthild Krause; Esther G C Troost; Steffen Löck Journal: Sci Rep Date: 2022-06-17 Impact factor: 4.996
Authors: Vincenza Granata; Roberta Grassi; Roberta Fusco; Andrea Belli; Carmen Cutolo; Silvia Pradella; Giulia Grazzini; Michelearcangelo La Porta; Maria Chiara Brunese; Federica De Muzio; Alessandro Ottaiano; Antonio Avallone; Francesco Izzo; Antonella Petrillo Journal: Infect Agent Cancer Date: 2021-07-19 Impact factor: 2.965
Authors: Francesca Iacobellis; Donatella Narese; Daniela Berritto; Antonio Brillantino; Marco Di Serafino; Susanna Guerrini; Roberta Grassi; Mariano Scaglione; Maria Antonietta Mazzei; Luigia Romano Journal: Diagnostics (Basel) Date: 2021-05-30