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dc.creatorNardone, Valerio
dc.creatorReginelli, Alfonso
dc.creatorGrassi, Roberta
dc.creatorVacca, Giovanna
dc.creatorGiacobbe, Giuliana
dc.creatorAngrisani, Antonio
dc.creatorClemente, Alfredo
dc.creatorDanti, Ginevra
dc.creatorCorreale, Pierpaolo
dc.creatorCarbone, Salvatore Francesco
dc.creatorPirtoli, Luigi
dc.creatorBianchi, Lorenzo
dc.creatorVanzulli, Angelo
dc.creatorGuida, Cesare
dc.creatorGrassi, Roberta
dc.creatorCappabianca, Salvatore
dc.date.accessioned2022-09-01T16:19:32Z
dc.date.available2022-09-01T16:19:32Z
dc.date.issued2022-06-18
dc.identifier.citationNardone V, Reginelli A, Grassi R, Vacca G, Giacobbe G, Angrisani A, Clemente A, Danti G, Correale P, Carbone SF, Pirtoli L, Bianchi L, Vanzulli A, Guida C, Grassi R, Cappabianca S. Ability of Delta Radiomics to Predict a Complete Pathological Response in Patients with Loco-Regional Rectal Cancer Addressed to Neoadjuvant Chemo-Radiation and Surgery. Cancers. 2022; 14(12):3004. https://doi.org/10.3390/cancers14123004
dc.identifier.issn2072-6694
dc.identifier.urihttp://hdl.handle.net/20.500.12613/8138
dc.identifier.urihttp://dx.doi.org/10.34944/dspace/8110
dc.description.abstractWe performed a pilot study to evaluate the use of MRI delta texture analysis (D-TA) as a methodological item able to predict the frequency of complete pathological responses and, consequently, the outcome of patients with locally advanced rectal cancer addressed to neoadjuvant chemoradiotherapy (C-RT) and subsequently, to radical surgery. In particular, we carried out a retrospective analysis including 100 patients with locally advanced rectal adenocarcinoma who received C-RT and then radical surgery in three different oncological institutions between January 2013 and December 2019. Our experimental design was focused on the evaluation of the gross tumor volume (GTV) at baseline and after C-RT by means of MRI, which was contoured on T2, DWI, and ADC sequences. Multiple texture parameters were extracted by using a LifeX Software, while D-TA was calculated as percentage of variations in the two time points. Both univariate and multivariate analysis (logistic regression) were, therefore, carried out in order to correlate the above-mentioned TA parameters with the frequency of pathological responses in the examined patients’ population focusing on the detection of complete pathological response (pCR, with no viable cancer cells: TRG 1) as main statistical endpoint. ROC curves were performed on three different datasets considering that on the 21 patients, only 21% achieved an actual pCR. In our training dataset series, pCR frequency significantly correlated with ADC GLCM-Entropy only, when univariate and binary logistic analysis were performed (AUC for pCR was 0.87). A confirmative binary logistic regression analysis was then repeated in the two remaining validation datasets (AUC for pCR was 0.92 and 0.88, respectively). Overall, these results support the hypothesis that D-TA may have a significant predictive value in detecting the occurrence of pCR in our patient series. If confirmed in prospective and multicenter trials, these results may have a critical role in the selection of patients with locally advanced rectal cancer who may benefit form radical surgery after neoadjuvant chemoradiotherapy.
dc.format.extent15 pages
dc.languageEnglish
dc.language.isoeng
dc.relation.ispartofFaculty/ Researcher Works
dc.relation.haspartCancers, Vol. 14, No. 12
dc.relation.isreferencedbyMDPI
dc.rightsAttribution CC BY
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectRectal cancer
dc.subjectNeoadjuvant chemo-radiation
dc.subjectMRI
dc.subjectTexture analysis
dc.titleAbility of Delta Radiomics to Predict a Complete Pathological Response in Patients with Loco-Regional Rectal Cancer Addressed to Neoadjuvant Chemo-Radiation and Surgery
dc.typeText
dc.type.genreJournal article
dc.contributor.groupCenter for Biotechnology, Sbarro Institute for Cancer Research and Molecular Medicine (Temple University)
dc.description.departmentBiology
dc.relation.doihttps://doi.org/10.3390/cancers14123004
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.schoolcollegeTemple University. College of Science and Technology
dc.temple.creatorPirtoli, Luigi
refterms.dateFOA2022-09-01T16:19:32Z


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