Predictive Factors of Late-onset Rectal Mucosal Changes After Radiotherapy of Prostate Cancer

Ippolito, Edy; Guido, A.; Macchia, G.; Deodato, Francesco; Giaccherini, L.; Farioli, Andrea; Arcelli, A.; Cuicchi, Dajana; Frazzoni, Leonardo; Cilla, Savino; Buwenge, M.; Mantini, Giovanna; Alitto, A.R.; Nuzzo, M.; Valentini, Vincenzo; Ingrosso, M.; Morganti, Alessio Giuseppe; Fuccio, Lorenzo

doi:10.21873/invivo.11154

Cited by 4 publications

(3 citation statements)

References 31 publications

(26 reference statements)

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“…The best future standard of care will be the identification of “tailored” treatments based on specific cancer patients’ characteristics, both race differences and clinical aspects or side effects. The development of decision-making tools that allow delivering tailored treatment is crucial, in particular in cancer disciplines moving towards the era of individualized medicine [ 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

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Predicting Radiotherapy Impact on Late Bladder Toxicity in Prostate Cancer Patients: An Observational Study

Catucci

Alitto

Masciocchi

et al. 2021

Cancers

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Background and purpose: The aim of our study was to elaborate a suitable model on bladder late toxicity in prostate cancer (PC) patients treated by radiotherapy with volumetric technique. Materials and methods: PC patients treated between September 2010 and April 2017 were included in the analysis. An observational study was performed collecting late toxicity data of any grade, according to RTOG and CTCAE 4.03 scales, cumulative dose volumes histograms were exported for each patient. Vdose, the value of dose to a specific volume of organ at risk (OAR), impact was analyzed through the Mann–Whitney rank-sum test. Logistic regression was used as the final model. The model performance was estimated by taking 1000 samples with replacement from the original dataset and calculating the AUC average. In addition, the calibration plot (Hosmer–Lemeshow goodness-of-fit test) was used to evaluate the performance of internal validation. RStudio Software version 3.3.1 and an in house developed software package “Moddicom” were used. Results: Data from 175 patients were collected. The median follow-up was 39 months (min–max 3.00–113.00). We performed Mann–Whitney rank-sum test with continuity correction in the subset of patients with late bladder toxicity grade ≥ 2: a statistically significant p-value with a Vdose of 51.43 Gy by applying a logistic regression model (coefficient 4.3, p value 0.025) for the prediction of the development of late G ≥ 2 GU toxicity was observed. The performance for the model’s internal validation was evaluated, with an AUC equal to 0.626. Accuracy was estimated through the elaboration of a calibration plot. Conclusions: Our preliminary results could help to optimize treatment planning procedures and customize treatments.

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Section: Introductionmentioning

confidence: 99%

“…Identifying new indicators and developing models that could predict toxicity is important to choose the best treatment for patients [ 10 , 11 , 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Predicting Radiotherapy Impact on Late Bladder Toxicity in Prostate Cancer Patients: An Observational Study

Catucci

Alitto

Masciocchi

et al. 2021

Cancers

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“…When severe (NCI CTCAE III-V), OM and GI-M are catalysts for potentially lethal complications including infection, renal insufficiency and graft versus host disease [11][12][13]. In the setting of pelvic radiation, acute GI-M is by far the largest predictor of late GI injury [14,15]. When neutropenia is controlled, severe mucositis is the single largest factor defining the maximal tolerated dose of anticancer therapy and a significant driver of dose-reductions, interruptions/delays and treatment discontinuation [16].…”

Section: Introductionmentioning

confidence: 99%

Prediction of mucositis risk secondary to cancer therapy: a systematic review of current evidence and call to action

Wardill

Sonis

Blijlevens

et al. 2020

Support Care Cancer

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peer review but prior to copyediting and typesetting that can be made available under the following conditions:(i) Author(s) retain the right to make an AAM of their Article available on their own personal, selfmaintained website immediately on acceptance, (ii) Author(s) retain the right to make an AAM of their Article available for public release on any of the following 12 months after first publication ("Embargo Period"): their employer's internal website; their institutional and/or funder repositories. AAMs may also be deposited in such repositories immediately on acceptance, provided that they are not made publicly available until after the Embargo Period.

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Stereotactic body radiotherapy (SIB-VMAT technique) to dominant intraprostatic lesion (DIL) for localized prostate cancer: a dose-escalation trial (DESTROY-4).

Deodato,

Ferro,

Bonome

et al. 2024

Strahlenther Onkol

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Predictive Factors of Late-onset Rectal Mucosal Changes After Radiotherapy of Prostate Cancer

Abstract: Abstract. Background

Cited by 4 publications

References 31 publications

Predicting Radiotherapy Impact on Late Bladder Toxicity in Prostate Cancer Patients: An Observational Study

Predicting Radiotherapy Impact on Late Bladder Toxicity in Prostate Cancer Patients: An Observational Study

Prediction of mucositis risk secondary to cancer therapy: a systematic review of current evidence and call to action

Stereotactic body radiotherapy (SIB-VMAT technique) to dominant intraprostatic lesion (DIL) for localized prostate cancer: a dose-escalation trial (DESTROY-4).

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