A case-control study of Dietary Approaches to Stop Hypertension (DASH) diets, colorectal cancer and adenomas among Iranian population.

BACKGROUND AND AIMS: Colorectal cancer (CRC) is the third most common cancer, worldwide. Recently, much attention has been given to the association between Dietary Approaches to Stop Hypertension (DASH) and CRC, however, data on colorectal adenomas (CRAs) as its precursor are scarce. Thus, the purpose of this case-control study was to investigate the association of DASH score with the risk of CRC and CRA in Iranian adults. METHOD: A total of 499 participants, including 129 CRC and 130 CRA cases, along with 240 controls, were asked about their dietary intake via a validated questionnaire. The DASH score was then calculated based on a priori methods and categorized in quartiles. Multivariate logistic regression was performed to assess the association of DASH score and the risk of CRC and CRA. RESULTS: After adjusting for confounding variables, adherence to the DASH diet was associated with a reduction in the risk of CRC and CRA, respectively (OR of 4th versus 1st quartile = 0.04, 95% CI: 0.01-0.11, OR = 0.10, 95% CI: 0.04-0.22). Also, subgroup analysis based on gender showed that women and men with a higher DASH score had a significantly lower risk of CRC and CRAs. CONCLUSION: The results of this study demonstrated that adherence to a DASH dietary pattern could reduce the risk of CRC and CRA in men and women. Promoting a DASH eating plan can be helpful in reducing the risk of CRC.

Estimation and evaluation of pseudo-CT images using linear regression models and texture feature extraction from MRI images in the brain region to design external radiotherapy planning.

AIM: The aim of this study is to construct and evaluate Pseudo-CT images (P-CTs) for electron density calculation to facilitate external radiotherapy treatment planning. BACKGROUND: Despite numerous benefits, computed tomography (CT) scan does not provide accurate information on soft tissue contrast, which often makes it difficult to precisely differentiate target tissues from the organs at risk and determine the tumor volume. Therefore, MRI imaging can reduce the variability of results when registering with a CT scan. MATERIALS AND METHODS: In this research, a fuzzy clustering algorithm was used to segment images into different tissues, also linear regression methods were used to design the regression model based on the feature extraction method and the brightness intensity values. The results of the proposed algorithm for dose-volume histogram (DVH), Isodose curves, and gamma analysis were investigated using the RayPlan treatment planning system, and VeriSoft software. Furthermore, various statistical indices such as Mean Absolute Error (MAE), Mean Error (ME), and Structural Similarity Index (SSIM) were calculated. RESULTS: The MAE of a range of 45-55 was found from the proposed methods. The relative difference error between the PTV region of the CT and the Pseudo-CT was 0.5, and the best gamma rate was 95.4% based on the polar coordinate feature and proposed polynomial regression model. CONCLUSION: The proposed method could support the generation of P-CT data for different parts of the brain region from a collection of MRI series with an acceptable average error rate by different evaluation criteria.

Investigating the Antiangiogenic, Anti-drug Resistance and Apoptotic Effects of Soy Isoflavone Extract Alone or in Combination with Docetaxel on Murine 4T1 Breast Tumor Model.

BACKGROUND: One major concern in the treatment of cancer patients during chemotherapy is drug resistance. Here we investigated the effects of soy isoflavone extracts alone or in combination with Docetaxel on the drug resistance, angiogenesis, apoptosis, and tumor volume in mouse 4T1 breast tumor model. METHODS: Sixty female BALB/c mice were randomly divided into 4 groups: control, dietary soy isoflavone extract [Iso, 100 mg/kg diet (0.01%)], Docetaxel (10 mg/kg) injection, and the combination of dietary soy isoflavone extract and intravenous Docetaxel injection (Docetaxel + Iso). One week after the third injection, the breast tumors of eight mice from each group were excised to analyze NF-κBp65' vascular endothelial growth factor receptor-2 (VEGFR2) and Pgp gene and protein expressions and the other seven mice were monitored for survival rate analysis until they died. RESULTS: NF-κBp65 gene and protein expressions were significantly lower in the Docetaxel + Iso group in comparison with that of the Docetaxel group. VEGFR2 protein expression in the Docetaxel + Iso and Iso groups was significantly lower than that of the Docetaxel group. CONCLUSION: These findings may indicate that the combined use of isoflavone extracts together with chemotherapeutic agents has more efficient anti-carcinogenic effects than their individual use.

Cross-Cultural Adaptation and Validation of the Persian Version of the M. D. Anderson Dysphagia Inventory.

Introduction Dysphagia is a common issue in patients with head and neck cancer (HNC) and is known to negatively impact their quality of life. To evaluate the impact of dysphagia on the quality of life of HNC patients, the M. D. Anderson Dysphagia Inventory (MDADI) questionnaire was developed. Objective The present study aimed to culturally adapt and validate the MDADI for Persian-speaking individuals. The MDADI is a self-administered questionnaire designed to assess the impact of dysphagia on the quality of life of HNC patients. Methods The original MDADI questionnaire was translated into Persian using the forward-backward method, following the guidelines of the World Health Organization (WHO) for cultural adaptation. The content validity of the Persian version, MDADI-P, was assessed by 10 speech-language pathologists using the content validity index (CVI). Seventy-five HNC patients completed the MDADI-P to evaluate its convergent validity, which was determined by comparing the results with the Short-Form 36 (SF-36) questionnaire. Internal consistency and test-retest reliability were assessed using Cronbach α coefficient and intraclass correlation (ICC), respectively. Results The scale content validity index (S-CVI) for the MDADI-P was 0.90, indicating good content validity. The MDADI-P demonstrated satisfactory internal consistency (Cronbach α coefficient = 0.728) and test-retest reliability (ICC = 0.91). The total MDADI-P score exhibited a significant correlation with the physical and mental components of the SF-36 (0.456 and 0.349, respectively, p < 0.05). Conclusion The findings of the present study confirm the suitability of the MDADI-P in terms of content validity, construct validity, internal consistency, and test-retest reliability.

The role of microbiota in nasopharyngeal cancer: Where do we stand?

Nasopharyngeal carcinoma (NPC) is a common head and neck cancer with a poor prognosis. One of the crucial challenges regarding NPC is its pathogenesis. Recent findings highlight the significance of host microbiota in the development of NPC, affected locally by nasopharyngeal microbiota or remotely by oral microbiota. The oral microbiota can migrate to the nasopharyngeal space, thereby impacting the composition of the nasopharyngeal microbiota. Specific bacterial strains have been linked to the development of nasopharyngeal cancer, including Neisseria, Staphylococcus, Leptotrichia, Staphylococcaceae, Granulicatella, Corynebacterium, Fusobacterium, and Prevotella. Several mechanisms have been proposed to elucidate how microbiota dysbiosis contributes to the development of NPC, including triggering tumor-promoting inflammation, reactivating the Epstein-Barr virus (EBV), inducing oxidative stress, weakening the immune system, and worsening tumor hypoxia. In addition, the composition of nasopharyngeal microbiota and the number of tumor-infiltrating microbiota can influence the prognosis and treatment response in patients with NPC. To the best of our knowledge, this is the first review discussing the impacts of the host microbiota on nasopharyngeal cancer pathogenesis, progression, and treatment response.

The Metastatic Spread of Breast Cancer Accelerates during Sleep: How the Study Design can Affect the Results.

Metastasis is the most common event that determines survival in patients with breast cancer. The benefits of appropriate sleep in enhancing cancer patients' prognosis have been demonstrated. Likewise, emerging evidence has noted the positive impacts of regular circadian rhythm on cancer survival. Proper sleep and regular circadian rhythm can help to improve the cancer prognosis by enhancing the immune system. Besides, circadian rhythm disruption can assist cancer progression by promoting systemic inflammation. However, a recent study by Diamantopoulou et al. titled "The Metastatic Spread of Breast Cancer Accelerates during Sleep" demonstrated that sleep can aggravate breast cancer metastasis. This article outlines how the study design can affect this controversy.

Mitochondrial metabolism: a predictive biomarker of radiotherapy efficacy and toxicity.

INTRODUCTION: Radiotherapy is a mainstay of cancer treatment. Clinical studies revealed a heterogenous response to radiotherapy, from a complete response to even disease progression. To that end, finding the relative prognostic factors of disease outcomes and predictive factors of treatment efficacy and toxicity is essential. It has been demonstrated that radiation response depends on DNA damage response, cell cycle phase, oxygen concentration, and growth rate. Emerging evidence suggests that altered mitochondrial metabolism is associated with radioresistance. METHODS: This article provides a comprehensive evaluation of the role of mitochondria in radiotherapy efficacy and toxicity. In addition, it demonstrates how mitochondria might be involved in the famous 6Rs of radiobiology. RESULTS: In terms of this idea, decreasing the mitochondrial metabolism of cancer cells may increase radiation response, and enhancing the mitochondrial metabolism of normal cells may reduce radiation toxicity. Enhancing the normal cells (including immune cells) mitochondrial metabolism can potentially improve the tumor response by enhancing immune reactivation. Future studies are invited to examine the impacts of mitochondrial metabolism on radiation efficacy and toxicity. Improving radiotherapy response with diminishing cancer cells' mitochondrial metabolism, and reducing radiotherapy toxicity with enhancing normal cells' mitochondrial metabolism.

Top cited publications for treatment of keloid with radiotherapy: A Bibliometric analysis.

ABSTRACTS: The use of radiation to treat keloid scars has gained popularity during the last few decades. However, few bibliometric analyses have been performed on the published articles. This research aimed to demonstrate and evaluate the trends, top-cited articles, and frontier areas. In this cross-sectional study, Web of Science (WOS) and Scopus database literature was searched for all MESH terms related to "keloid" and "radiotherapy." The bibliometric analysis was carried out by VOSviewer 1.6.15. Articles with Web of Science-based citations of ≥20 were included. The citation per year index (CPYI) of articles was calculated for further inclusion of papers if they had CPYI higher than the mean value. There were 95 papers on keloid radiation that satisfied the inclusion criteria and were published between 1942 and 2019. The CPYI ranged from 0.38 to 11.3. Most studies were published in the "International Journal of Radiation Oncology, Biology, and Physics" (9 papers). The United States has the most papers (14), followed by Japan (9), the Netherlands (7), and Germany (5). To the best of our knowledge, this is the first bibliometric analysis of top-cited papers on keloid radiotherapy. From 2014 to the present, it seems that this title has resurfaced as a popular topic, with radiotherapy within 24 h of surgery being the most commonly recommended treatment plan. Since around 2011, high-dose-rate brachytherapy (HDR-BT) has been used as an effective treatment for keloid control. Individualization of therapy and dose/technique based on the location is strongly suggested.

Prediction of chronic kidney disease in abdominal cancers radiation therapy using the functional assays of normal tissue complication probability models.

Aim: The purpose of this study is to predict chronic kidney disease (CKD) in the radiotherapy of abdominal cancers by evaluating clinical and functional assays of normal tissue complication probability (NTCP) models. Materials and Methods: Radiation renal damage was analyzed in 50 patients with abdominal cancers 12 months after radiotherapy through a clinical estimated glomerular filtration rate (eGFR). According to the common terminology criteria for the scoring system of adverse events, Grade 2 CKD (eGFR ≤30-59 ml/min/1.73 m2) was considered as the radiation therapy endpoint. Modeling and parameter estimation of NTCP models were performed for the Lyman-equivalent uniform dose (EUD), the logit-EUD critical volume (CV), the relative seriality, and the mean dose model. Results: The confidence interval of the fitted parameters was 95%. The parameter value of D50 was obtained 22-38 Gy, and the n and s parameters were equivalent to 0.006 -3 and 1, respectively. According to the Akaike's information criterion, the mean dose model predicts radiation-induced CKD more accurately than the other models. Conclusion: Although the renal medulla consists of many nephrons arranged in parallel, each nephron has a seriality architecture as renal functional subunits. Therefore, based on this principle and modeling results in this study, the whole kidney organs may have a serial-parallel combination or a secret architecture.

Oncological Outcomes of Neoadjuvant Gemcitabine plus Carboplatin versus Gemcitabine plus Cisplatin in Locally Advanced Bladder Cancer: A Retrospective Analysis.

PURPOSE: Cisplatin-based neoadjuvant chemotherapy (NAC) is the standard of care in non-metastatic muscle-invasive bladder cancer (MIBC). There are limited data regarding the alternative choices for cisplatin-ineligible patients. This study has investigated the oncological outcomes of gemcitabine plus cisplatin (Gem/Cis) and gemcitabine plus carboplatin (Gem/Carbo) in this setting. MATERIALS AND METHODS: One hundred forty consecutive patients with MIBC (cT2-T4a) receiving neoadjuvant Gem/Cis or Gem/Carbo before chemoradiation (CRT) or radical cystectomy (RC) were retrospectively evaluated between April 2009 and April 2019. Patients with ECOG performance status 2, creatinine clearance < 60 mL/min, hydronephrosis, ejection fraction < 50%, or single kidney received Gem/Carbo. The complete clinical response (cCR) and overall survival (OS) of NAC regimens were compared. Prognostic significance was assessed with Cox proportional hazards model. RESULTS: In total, 79 patients (56.4%) received Gem/Cis. The cCR was not significantly different between Gem/Cis and Gem/Carbo regimens (38.7% vs. 36.2%, P = .771). After NAC, 79 patients (56.4%) received CRT, and other cases underwent RC. After a median follow-up of 43 months, patients in the Gem/Cis group had significantly better OS than Gem/Carbo (median OS: 41.0 vs. 26.0 months, P = .008). Multivariable Cox proportional hazards models identified cT4a stage (95% confidence interval [95% CI]: 1.001-4.85, hazard ratio [HR] = 2.08, P = .03) and cCR (95% CI: 0.26-0.99, HR = 0.51, P = .04) as the only independent prognostic factors of OS, and ruled out the type of NAC regimen. CONCLUSION: The choice of NAC (between Gem/Cis and Gem/Carbo) is not the predictor of survival and both regimens had similar cCR.

Review on the Oncology Practice in the Midst of COVID-19 Crisis: The Challenges and Solutions.

As of late 2019, the outbreak of novel coronavirus disease (COVID-19) -that started in China- has rapidly afflicted all over the world. The COVID-19 pandemic has challenged health-care facilities to provide optimal care. In this context, cancer care requires special attention because of its peculiar status by including patients who are commonly immunocompromised and treatments that are often highly toxic. In this review article, we have classified the main impacts of the COVID-19 pandemic on oncology practices -followed by their solutions- into ten categories, including impacts on (1) health care providers, (2) medical equipment, (3) access to medications, (4) treatment approaches, (5) patients' referral, (6) patients' accommodation, (7) patients' psychological health, (8) cancer research, (9) tumor board meetings, and (10) economic income of cancer centers. The effective identification and management of all these challenges will improve the standards of cancer care over the viral pandemic and can be a practical paradigm for possible future crises.
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Dietary total antioxidant capacity and colorectal cancer and colorectal adenomatous polyps: a case-control study.

Colorectal cancer (CRC) is the third most common and the third most deadly cancer worldwide. In Iran, CRC is the third and fifth most common cancer in females and males, respectively. Chronic oxidative stress has been implicated in the development of CRC and its precursor, colorectal adenomatous polyps (CAP). While there were a few studies that suggested a favorable role of individuals antioxidants on the CRC risk, the total antioxidant capacity (TAC) of diet has been less investigated. Consequently, the aim of this study is to investigate the association of TAC with the odds of CRC and CAP. This is a case-control study. The participants were 130 cases with incident, histologically confirmed CRC, 134 cases with incident of CAP and 243 hospital-based controls. TAC has been assessed with dietary ferric-reducing antioxidant potential and oxygen radical absorbance capacity method based on collected dietary intake data through a reproducible and valid food frequency questionnaire. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for the association between the TAC and CRC and CAP odds were estimated by multiple logistic regression. After controlling for potential confounders, TAC was significantly associated with CRC and CAP odds. (ORQ3-Q1 for CRC = 0.25, 95% CI: 0.13-0.46, Ptrend = 0.001. ORQ3-Q1 for CAP = 0.48, 95% CI: 0.27-0.85, Ptrend = 0.01). The findings of this study suggested an inverse association between TAC and CRC and CAP risk.

Cross-Cultural Adaptation and Validation of the Persian Version of the M. D. Anderson Dysphagia Inventory

Abstract Introduction Dysphagia is a common issue in patients with head and neck cancer (HNC) and is known to negatively impact their quality of life. To evaluate the impact of dysphagia on the quality of life of HNC patients, the M. D. Anderson Dysphagia Inventory (MDADI) questionnaire was developed. Objective The present study aimed to culturally adapt and validate the MDADI for Persian-speaking individuals. The MDADI is a self-administered questionnaire designed to assess the impact of dysphagia on the quality of life of HNC patients. Methods The original MDADI questionnaire was translated into Persian using the forward-backward method, following the guidelines of the World Health Organization (WHO) for cultural adaptation. The content validity of the Persian version, MDADI-P, was assessed by 10 speech-language pathologists using the content validity index (CVI). Seventy-five HNC patients completed the MDADI-P to evaluate its convergent validity, which was determined by comparing the results with the Short-Form 36 (SF-36) questionnaire. Internal consistency and test-retest reliability were assessed using Cronbach α coefficient and intraclass correlation (ICC), respectively. Results The scale content validity index (S-CVI) for the MDADI-P was 0.90, indicating good content validity. The MDADI-P demonstrated satisfactory internal consistency (Cronbach α coefficient = 0.728) and test-retest reliability (ICC = 0.91). The total MDADI-P score exhibited a significant correlation with the physical and mental components of the SF-36 (0.456 and 0.349, respectively, p < 0.05). Conclusion The findings of the present study confirm the suitability of the MDADI-P in terms of content validity, construct validity, internal consistency, and test-retest reliability.

Dietary patterns and the risk of colorectal cancer and adenoma: a case control study in Iran.

AIM: The aim of this study is to examine the relationship between dietary patterns and the risk of Colorectal Cancer (CRC) and adenomas. BACKGROUND: Dietary patterns have been shown to be associated with risk of CRC, but there are a few data on this context and its relationship with risk of colorectal adenomas as the precursors of the CRC. METHODS: This hospital-based case-control study was conducted in three major general hospitals in Tehran province, Iran. Data was collected (October 2016 to May 2018) from 129 colorectal cancer and 130 colorectal adenoma patients that confirmed by pathology and colonoscopy findings and 240 controls with non-neoplastic conditions and not afflicted with diet related chronic diseases. Dietary data were evaluated by 147-items semi-quantitative food frequency questionnaire. Multivariate logistic regression was used to estimate the relationship between dietary patterns and risk of colorectal cancer and colorectal adenoma. RESULTS: Three dietary patterns (healthy, western and traditional) were derived. After adjusting for confounders, the Healthy dietary pattern was associated with a decreased risk of Colorectal Cancer (OR=0.22, 95% CI=0.14-0.37) and Colorectal Adenoma (OR=0.43, 95% CI=0.27-0.69). Higher intake of the Westernized pattern was positively associated with risk of Colorectal Cancer (OR=3.5, 95% CI=2.13-5.19) and Colorectal Adenoma (OR=2.47, 95% CI=1.49-4.08). There was no significant association between traditional pattern and the Colorectal Cancer (OR=99, 95% CI=0.61-1.59) and Colorectal Adenoma (OR=0.85, 95% CI=0.54-1.35) risk. CONCLUSION: Our study suggested that the "Healthy" dietary pattern reduces the risk of Colorectal Cancer and Colorectal Adenoma, while the "Western" dietary pattern increases the risk of both Colorectal Cancer and Colorectal Adenoma.

Dietary Inflammatory Index and Odds of Colorectal Cancer and Colorectal Adenomatous Polyps in A Case-Control Study from Iran.

BACKGROUND: Chronic inflammation is implicated in the development of colorectal cancer (CRC) and its precursor; colorectal adenomatous polyps (CAP). Some dietary factors are important triggers for systemic inflammation. Therefore, the present study aimed to investigate the association between the dietary inflammatory index (DII®) and the risk of CRC and CAP in an Iranian case-control study. METHODS: 134 newly diagnosed CRC patients, 130 newly diagnosed CAP patients, and 240 hospitalized controls were recruited using convenience sampling. Energy-adjusted DII (E-DII) scores were computed based on dietary intake assessed using a reproducible and valid 148-item food frequency questionnaire. Logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CI) after adjusting for confounders. RESULTS: The E-DII score ranged between -4.23 (the most anti-inflammatory score) to +3.89 (the most pro-inflammatory score). The multivariable-adjusted ORs for participants in the 3rd tertile compared to the 1st tertile was 5.08 (95%CI: 2.70-9.56; P-trend < 0.0001) for CRC and 2.33 (95% CI: 1.30-4.02; P-trend = 0.005) for CAP. CONCLUSIONS: Our findings suggest that more pro-inflammatory diets, indicated by higher E-DII scores, might increase the risk of both CRC and CAP. Future steps should include testing these associations in a prospective setting in Iran.

Prospective evaluation of the early effects of radiation on the auditory system frequencies of patients with head and neck cancers and brain tumors after radiotherapy.

Patients with head and neck cancer after radiotherapy often suffer disability such as hearing disorders. In this study, the effect of radiotherapy (RT) on hearing function of patients with head and neck cancer after RT was determined according to the total dose delivered to specific parts of the auditory system. A total of 66 patients treated with primary or postoperative radiation therapy for various cancers in the head and neck region were selected. All patients had audiologic evaluation with pure tone audiometry for the frequencies of 250, 500, 1,000, 2,000, 3,000, 4,000, 6,000, and 8,000 Hz before and immediately after completion of treatment and again 3 months later. The cochlea dose volume histograms of the patients were derived from their computed-tomography-based treatment plans. At study's end, RT-induced auditory complications developed in 33% of patients. The greatest hearing loss (changes >15 dB) occurred immediately after RT at frequencies of 3,000 (14.5%), 4,000 (12.9%), 6,000 (13.6%), and 8,000 Hz (10.6%), and after 3 months of follow-up, at 3,000 (6.8%), 4,000 (7.7%), 6,000 (10.7%), and 8,000 Hz (12.1%). Univariate and multivariate analyses indicated a positive relationship between dose delivered to the cochlea and hearing loss (p < 0.001, r = 0.484). An increased risk of hearing loss was present for patients receiving ≥40 Gy as their mean dose compared with those receiving <30 Gy. We conclude that radiation dose has negative effects on the auditory system. This effect occurs more in high-frequency hearing. The received dose to the cochlea was the main cause of damage to hearing.

A novel algorithm for PET and MRI fusion based on digital curvelet transform via extracting lesions on both images.

BACKGROUND AND AIM: Merging multimodal images is a useful tool for accurate and efficient diagnosis and analysis in medical applications. The acquired data are a high-quality fused image that contains more information than an individual image. In this paper, we focus on the fusion of MRI gray scale images and PET color images. METHODS: For the fusion of MRI gray scale images and PET color images, we used lesion region extracting based on the digital Curvelet transform (DCT) method. As curvelet transform has a better performance in detecting the edges, regions in each image are perfectly segmented. Curvelet decomposes each image into several low- and high-frequency sub-bands. Then, the entropy of each sub-band is calculated. By comparing the entropies and coefficients of the extracted regions, the best coefficients for the fused image are chosen. The fused image is obtained via inverse Curvelet transform. In order to assess the performance, the proposed method was compared with different fusion algorithms, both visually and statistically. RESULT: The analysis of the results showed that our proposed algorithm has high spectral and spatial resolution. According to the results of the quantitative fusion metrics, this method achieves an entropy value of 6.23, an MI of 1.88, and an SSIM of 0.6779. Comparison of these experiments with experiments of four other common fusion algorithms showed that our method is effective. CONCLUSION: The fusion of MRI and PET images is used to gather the useful information of both source images into one image, which is called the fused image. This study introduces a new fusion algorithm based on the digital Curvelet transform. Experiments show that our method has a high fusion effect.

Coping Strategies and Experiences in Women with a Primary Breast Cancer Diagnosis

Background: Women with breast cancer experience problems in multiple aspects of their lives, but applying effective strategies can result in enhancing their quality of life and their psychosocial adaptation to the disease. However, there is little information about the strategies that women use to cope with complications associated with their experiences following a breast cancer diagnosis. Objectives: The aim of this study was to explore the experience of coping behavior and the main strategies that women use in dealing with a breast cancer diagnosis. Methods: This study was conducted according to a qualitative phenomenological design to investigate women's experiences in living with breast cancer and the related complications and how they cope with these issues. Purposive sampling was used for recruiting participants with breast cancer, and data collection was conducted by semi-structured, in-depth interviews with 22 patients. The transcribed interviews were analyzed using Van Manen's thematic approach. Results: The age range of the women was 32-68. Most were married and received adjuvant therapy (i.e., mastectomy surgery and chemo-radiation). Three dominant themes that emerged from the interviews were emotional turmoil, avoidance, and logical efforts. Conclusion: The findings highlight the importance of addressing psycho-oncology intervention programs to address the unmet pyscho-social and palliative care needs of patients suffering from breast cancer.

A Novel Active Contour Model for MRI Brain Segmentation used in Radiotherapy Treatment Planning.

INTRODUCTION: Brain image segmentation is one of the most important clinical tools used in radiology and radiotherapy. But accurate segmentation is a very difficult task because these images mostly contain noise, inhomogeneities, and sometimes aberrations. The purpose of this study was to introduce a novel, locally statistical active contour model (ACM) for magnetic resonance image segmentation in the presence of intense inhomogeneity with the ability to determine the position of contour and energy diagram. METHODS: A Gaussian distribution model with different means and variances was used for inhomogeneity, and a moving window was used to map the original image into another domain in which the intensity distributions of inhomogeneous objects were still Gaussian but were better separated. The means of the Gaussian distributions in the transformed domain can be adaptively estimated by multiplying a bias field by the original signal within the window. Then, a statistical energy function is defined for each local region. Also, to evaluate the performance of our method, experiments were conducted on MR images of the brain for segment tumors or normal tissue as visualization and energy functions. RESULTS: In the proposed method, we were able to determine the size and position of the initial contour and to count iterations to have a better segmentation. The energy function for 20 to 430 iterations was calculated. The energy function was reduced by about 5 and 7% after 70 and 430 iterations, respectively. These results showed that, with increasing iterations, the energy function decreased, but it decreased faster during the early iterations, after which it decreased slowly. Also, this method enables us to stop the segmentation based on the threshold that we define for the energy equation. CONCLUSION: An active contour model based on the energy function is a useful tool for medical image segmentation. The proposed method combined the information about neighboring pixels that belonged to the same class, thereby making it strong to separate the desired objects from the background.