Cancer treatment-induced oral mucositis

Oral mucositis is one of the main complications in non-surgical cancer treatments. It represents the major dose-limiting toxicity for some chemotherapeutic agents, for radiotherapy of the head and neck region and for some radiochemotherapy combined treatments. Many reviews and clinical studies have been published in order to define the best clinical protocol for prophylaxis or treatment of mucositis, but a consensus has not yet been obtained. This paper represents an updated review of prophylaxis and treatment of antineoplastic-therapy-related mucositis using a MEDLINE search up to May 2006, in which more than 260 clinical studies have been found. They have been divided according to antineoplastic therapy (chemotherapy, radiotherapy, chemo-radiotherapy, high-dose chemotherapy). The prophylactic or therapeutic use of the analysed agents, the number of enrolled patients and the study design (randomized or not) were also specified for most studies. Accurate pre-treatment assessment of oral cavity hygiene, frequent review of symptoms during treatment, use of traditional mouthwashes to obtain mechanical cleaning of the oral cavity and administration of some agents like benzydamine, imidazole antibiotics, tryazolic antimycotics, povidone iodine, keratinocyte growth factor and vitamin E seem to reduce the intensity of mucositis. Physical approaches like cryotherapy, low energy Helium-Neon laser or the use of modern radiotherapy techniques with the exclusion of the oral cavity from radiation fields have been shown to be efficacious in preventing mucositis onset. Nevertheless a consensus protocol of prophylaxis and treatment of oral mucositis has not yet been obtained

173. Does the correlation between chemotherapy-induced leukopenia with response in locally advanced breast cancer exist?

PurposeThe correlation between chemotherapy-induced toxicity and treatment outcome in cancer patients has not been thoroughly studied. Our aim was to evaluate whether leukopenia following primary chemotherapy may be predictive for response in patients with locally advanced breast cancer.Patients and MethodsThe records of 164 breast cancer patients administered primary chemotherapy between 1985 and 1995 were analysed. Most of the patients presented with locally advanced disease, however included were also patients with large operable tumours. Chemotherapy included one of the three combinations: CMF; modified Cooper regimen (CMFVP); 31 patients (19%), anthracycline-based regimens (FAC and FEC); 16 patients (10%) and 118 patients (71%).ResultsThe objective response rate in the entire group was 58%; 75% in patients who developed grade 2–3 leukopenia during induction chemotherapy, and 52% in those who had no or grade 1 leukopenia (p < 0.01, multivariate analysis). No other patient- or treatment-related factor including age, performance status, T stage, N stage, supraclavicular Iymph node involvement, inflammatory carcinoma or chemotherapy regimen correlated with response to chemotherapy. There was no correlation between treatment-induced leukopenia and overall survival.ConclusionsThese findings suggest a relationship between chemotherapy induced leukopenia and tumour response in patients with locally advanced breast cancer. The prognostic impact of leukopenia is negliglble

Machine Learning-Based Models for Prediction of Toxicity Outcomes in Radiotherapy

In order to limit radiotherapy (RT)-related side effects, effective toxicity prediction and assessment schemes are essential. In recent years, the growing interest toward artificial intelligence and machine learning (ML) within the science community has led to the implementation of innovative tools in RT. Several researchers have demonstrated the high performance of ML-based models in predicting toxicity, but the application of these approaches in clinics is still lagging, partly due to their low interpretability. Therefore, an overview of contemporary research is needed in order to familiarize practitioners with common methods and strategies. Here, we present a review of ML-based models for predicting and classifying RT-induced complications from both a methodological and a clinical standpoint, focusing on the type of features considered, the ML methods used, and the main results achieved. Our work overviews published research in multiple cancer sites, including brain, breast, esophagus, gynecological, head and neck, liver, lung, and prostate cancers. The aim is to define the current state of the art and main achievements within the field for both researchers and clinicians

Value of perfusion CT parameters, microvessl density and VEGF expression in differentiation of benign and malignant prostate tumours

The purpose of this study was to assess the correlation between parameters evaluated using computed tomography perfusion (CTP) and microvessel density (MVD), the vascular endothelial growth factor labelling index (VEGFLI), as well as known clinicopathological indicators of tumour malignancy, in non-advanced prostatic cancer. We included 110 patients with early stage prostate cancer who were subjected to CT examinations followed by radical prostatectomy between 2007 and 2011 (in this analysis we included only patients diagnosed with CT). Both in affected and in healthy tissue the following perfusion parameters were assessed: blood flow (BF), blood volume (BV), mean transit time (MTT) and permeability-surface area product (PS). After surgery in the resected prostate tumour tissue the MVD and VEGFLI were assessed. The mean BF and PS values were significantly higher in carcinomas with high histological grade (p = 0.02). The sensitivity, specificity and accuracy of the threshold BF value, for the distinction between malignant and healthy prostate tissue, were: 67%, 54% and 59% respectively. For BV sensitivity was 71%, specificity was 52%, and accuracy was 48%. Microvessel density significantly correlated with BV, MTT and PS (p < 0.05), while VEGFLI did not correlate with any of the perfusion parameters. Our results suggest that BF and PS might be helpful in discrimination between benign and malignant prostate tissue, while the positive correlation between BV, MTT, PS and MVD might suggest their potential utility in assessment of cancer angiogenesis

Adjuvant and salvage radiation therapy after prostatectomy : investigating beliefs and practices of radiation oncologists

Evidence regarding adjuvant radiation therapy (ART) and salvage radiation therapy (SRT) following radical prostatectomy (RP) for prostate cancer is inconsistent. The study objectives were to collect survey information on Italian radiation oncologists' (RO) beliefs regarding the use of ART and SRT following RP and to compare the results of Italian RO with those of American RO available from an analogous survey

Clinical outcome of circulating tumor cells in metastatic castration-resistant prostate cancer patients treated with docetaxel: long-term prospective single-centre study

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Perfusion CT is a valuable diagnostic method for prostate cancer: a prospective study of 94 patients

Purpose: The aim of this study is to assess the usefulness of perfusion computer tomography (pCT) in prostate cancer (PCa) diagnostics. Copyright:Materials and Methods: 94 patients with biopsy-proven PCa were enrolled in the study. Dynamic pCT of the prostate gland was performed for 50 seconds after an intravenous injection of contrast medium. Blood flow (BF), blood volume (BV), mean transit time (MTT) and permeability surface area product (PS) were computed in the suspected PCa area and in normal prostatic tissue.Results: PCa was visible in pCT in 90 of the 94 examined patients as a focal peripheral CT enhancement. When PCa was located in the peripheral zone (PZ), it was visible on perfusion maps, mostly showing an early peak followed by wash-out. The average values of all perfusion parameters were higher for tumour than for normal prostate tissue (p 7). In high-grade PCa, the mean BF value was significantly higher (p = 0.001) than the mean value of BF low- and medium-grade PCa (p = 0.011). Similar results were obtained regarding the mean values of BV; the more aggressive the cancer grade, the higher the mean BV value (p = 0.04).Conclusion: CT quantitative perfusion imaging allows PCa to be distinguished from normal prostate tissue. The highest values for BF and BV were observed in the most aggressive PCa grade