A Predictive Model of 2yDFS During MR-Guided RT Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer Patients

Chiloiro, G.; Boldrini, Luca; Preziosi, Francesco; Cusumano, D.; Yadav, Poonam; Romano, Angela; Placidi, L.; Lenkowicz, Jacopo; Dinapoli, N.; Bassetti, M.; Gambacorta, Maria Antonietta; Valentini, Vincenzo

doi:10.3389/fonc.2022.831712

Cited by 9 publications

(6 citation statements)

References 46 publications

(81 reference statements)

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“…This result was also investigated during MRgRT treatment, showing that the best performance is achieved with a pure radiomic model. In particular, the change in area/surface ratio of the GTV at 54 Gy and in the simulation predicted 2y DFS with an AUC of 0.92 [ 44 ].…”

Section: Discussionmentioning

confidence: 99%

Delta Radiomic Analysis of Mesorectum to Predict Treatment Response and Prognosis in Locally Advanced Rectal Cancer

Chiloiro

Cusumano

Romano

et al. 2023

Cancers

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Background: The aim of this study is to evaluate the delta radiomics approach based on mesorectal radiomic features to develop a model for predicting pathological complete response (pCR) and 2-year disease-free survival (2yDFS) in locally advanced rectal cancer (LARC) patients undergoing neoadjuvant chemoradiotherapy (nCRT). Methods: Pre- and post-nCRT MRIs of LARC patients treated at a single institution from May 2008 to November 2016 were retrospectively collected. Radiomic features were extracted from the GTV and mesorectum. The Wilcoxon–Mann–Whitney test and area under the receiver operating characteristic curve (AUC) were used to evaluate the performance of the features in predicting pCR and 2yDFS. Results: Out of 203 LARC patients, a total of 565 variables were evaluated. The best performing pCR prediction model was based on two GTV features with an AUC of 0.80 in the training set and 0.69 in the validation set. The best performing 2yDFS prediction model was based on one GTV and two mesorectal features with an AUC of 0.79 in the training set and 0.70 in the validation set. Conclusions: The results of this study suggest a possible role for delta radiomics based on mesorectal features in the prediction of 2yDFS in patients with LARC.

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Section: Discussionmentioning

confidence: 99%

Delta Radiomic Analysis of Mesorectum to Predict Treatment Response and Prognosis in Locally Advanced Rectal Cancer

Chiloiro

Cusumano

Romano

et al. 2023

Cancers

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“…Boldrini et al also found that delta features have better discrimination ability than standard radiomics features, even if their study is conducted on the prediction of cCR for LARC. Chiloiro et al (44) found that the change of area/surface ratio is most significant in identifying 2-year-DFS for LARC. Shayesteh et al ( 43) also proved that their delta radiomics model outperformed both pre-and post-treatment features in pCR prediction.…”

Section: Discussionmentioning

confidence: 99%

“…Multiple studies have proposed delta radiomics as an alternative approach for predicting treatment response, tumor prognosis, toxicity, and treatment guidance across various cancer types (35)(36)(37)(38)(39)(40)(41). In the specific field of LARC patients, delta radiomics has been proven effective in predicting the response of metastatic renal cell cancer and colorectal cancer liver metastases to chemotherapies (36,42), cCR or pCR after nCRT (8,43), diseasefree overall survival (44). To the best of our knowledge, the application of delta radiomics based on MR-Linac imaging to predict pCR in LARC patients undergoing a short course of radiotherapy (SCRT) has not been explored previously.…”

Section: Introductionmentioning

confidence: 99%

Feasibility of delta radiomics–based pCR prediction for rectal cancer patients treated with magnetic resonance–guided adaptive radiotherapy

Wu,

Xiao,

et al. 2023

Front. Oncol.

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Magnetic resonance–guided adaptive radiotherapy (MRgART) represents the latest frontier in precision radiotherapy. It is distinguished from other modalities by the possibility of acquiring high-contrast soft tissue images, combined with the ability to recalculate and re-optimize the plan on the daily anatomy. The extensive database of available images offers ample scope for using disciplines such as radiomics to try to correlate features and outcomes. This study aimed to correlate the change of radiomics feature along the treatment to pathological complete response (pCR) for locally advanced rectal cancer (LARC) patients. Twenty-eight LARC patients undergoing neoadjuvant chemoradiotherapy (nCRT) with a short course (25 Gy, 5 Gy × 5f) MRgART at 1.5 Tesla MR-Linac were enrolled. The T2-weighted images acquired at each fraction, corresponding target delineation, pCR result of the surgical specimen, and clinical variables were collected. Seven families of features [First Order, Shape, Gray-level Co-occurrence Matrix (GLCM), Gray-level Dependence Matrix (GLDM), Gray-level Run Length Matrix (GLRLM), Gray-level Size Zone Matrix (GLSZM), and Neighborhood Gray Tone Difference Matrix (NGTDM)] were extracted, and delta features were calculated from the ratio of features of each successive fraction to those of the first fraction. Mann-Whitney U test and LASSO were utilized to reduce the dimension of features and select those features that are most significant to pCR. At last, the radiomics signatures were established by linear regression with the final set of features and their coefficients. A total of 581 radiomics features were extracted, and 2,324 delta features were calculated for each patient. Nineteen features and delta features, and one clinical variable (cN) were significant (p< 0.05) to pCR; seven predictive features were further selected and included in the linear regression to construct the radiomics signature significantly discriminating pCR and non-pCR groups (p< 0.05). Delta features based on MRI images acquired during a short course MRgART could potentially be used to predict treatment response in LARC patients undergoing nCRT.

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“…Compared with conventional external beam therapy, this technique has a smaller dilated margin and greater conformity, and is a safer way to minimize repeat irradiation of normal structures ( 45 ). The introduction of MR-guided radiotherapy has led to a new era in radiation oncology, offering the possibility of providing daily online adaptive radiotherapy and acquiring images with higher soft-tissue contrast ( 48 – 50 ). MR-guided radiotherapy is a type of image-guided radiotherapy and is a four-dimensional radiotherapy technique that adds the concept of temporal sequencing to the three-dimensional radiotherapy technique ( 51 ).…”

Section: Discussionmentioning

confidence: 99%

Global status of research on radiotherapy for rectal cancer: A bibliometric and visual analysis

Xiao

Qiu

Huang

et al. 2022

Front. Public Health

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Radiotherapy for rectal cancer has received increasing research attention in recent years; however, no bibliometric assessment has been conducted on the progress of research in this field. This study aimed to visualize the research evolution and emerging research hotspots in the field of rectal cancer radiotherapy using bibliometric methods. Data were collected from the Web of Science Core Collection database, including countries, institutions, authors, keywords, and co-citations of references, and the CiteSpace software was used for bibliometric analysis. A total of 5,372 publications on radiotherapy for rectal cancer, published between January 2000 and January 2022, were included. An increasing trend in the number of published articles was observed. There is an overall upward trend in the number of publications published, with the US publishing the most in this field, followed by China and the Netherlands. Italian writer Vincenzo Valentini and German writer R. Sauer ranked first in terms of published articles and co-cited authors, respectively. Literature co-citation and keyword co-occurrence analyses showed that early studies focused on topics such as preoperative radiotherapy, combined radiotherapy and chemotherapy, and total mesorectal excision. In recent years, gradually increasing attention has been paid to short-course radiotherapy, x-ray brachytherapy, and stereotactic systemic radiotherapy. Burst analysis suggested that magnetic resonance (MR)-guided neoadjuvant radiotherapy studies, mechanistic studies, and clinical trials may emerge as new research hotspots. Rectal cancer radiotherapy has been widely studied and the research hotspots have considerably changed in recent years. Future research hotspots may include MR-guided neoadjuvant radiotherapy studies, mechanistic studies, and clinical trials.

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A Predictive Model of 2yDFS During MR-Guided RT Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer Patients

Cited by 9 publications

References 46 publications

Delta Radiomic Analysis of Mesorectum to Predict Treatment Response and Prognosis in Locally Advanced Rectal Cancer

Delta Radiomic Analysis of Mesorectum to Predict Treatment Response and Prognosis in Locally Advanced Rectal Cancer

Feasibility of delta radiomics–based pCR prediction for rectal cancer patients treated with magnetic resonance–guided adaptive radiotherapy

Global status of research on radiotherapy for rectal cancer: A bibliometric and visual analysis

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