scholarly journals Classification of Cancer Recurrence with Alpha-Beta BAM

2009 ◽  
Vol 2009 ◽  
pp. 1-14 ◽  
Author(s):  
María Elena Acevedo ◽  
Marco Antonio Acevedo ◽  
Federico Felipe
Keyword(s):  
Breast Cancer ◽  
Stable State ◽  
Cancer Recurrence ◽  
Breast Cancer Surgery ◽  
Associative Memories ◽  
Training Set ◽  
Perfect Recall ◽  
Alpha Beta ◽  
Leave One Out

Bidirectional Associative Memories (BAMs) based on first model proposed by Kosko do not have perfect recall of training set, and their algorithm must iterate until it reaches a stable state. In this work, we use the model of Alpha-Beta BAM to classify automatically cancer recurrence in female patients with a previous breast cancer surgery. Alpha-Beta BAM presents perfect recall of all the training patterns and it has a one-shot algorithm; these advantages make to Alpha-Beta BAM a suitable tool for classification. We use data from Haberman database, and leave-one-out algorithm was applied to analyze the performance of our model as classifier. We obtain a percentage of classification of 99.98%.

scholarly journals Associative Models for Storing and Retrieving Concept Lattices

2010 ◽  
Vol 2010 ◽  
pp. 1-27 ◽  
Author(s):  
María Elena Acevedo ◽  
Cornelio Yáñez-Márquez ◽  
Marco Antonio Acevedo
Keyword(s):  
Associative Memory ◽  
Concept Lattice ◽  
Human Being ◽  
Associative Memories ◽  
Associative Model ◽  
Bidirectional Associative Memory ◽  
Perfect Recall ◽  
Concept Lattices ◽  
Alpha Beta ◽  
Associative Models

Alpha-beta bidirectional associative memories are implemented for storing concept lattices. We use Lindig's algorithm to construct a concept lattice of a particular context; this structure is stored into an associative memory just as a human being does, namely, associating patterns. Bidirectionality and perfect recall of Alpha-Beta associative model make it a great tool to store a concept lattice. In the learning phase, objects and attributes obtained from Lindig's algorithm are associated by Alpha-Beta bidirectional associative memory; in this phase the data is stored. In the recalling phase, the associative model allows to retrieve objects from attributes or vice versa. Our model assures the recalling of every learnt concept.

scholarly journals Development of a FFQ for breast cancer survivors in Korea

2016 ◽  
Vol 116 (10) ◽  
pp. 1781-1786 ◽  
Author(s):  
Woo-kyoung Shin ◽  
Sihan Song ◽  
Eunkyung Hwang ◽  
Hyeong-Gon Moon ◽  
Dong-Young Noh ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Survivors ◽  
Breast Cancer Survivors ◽  
Cancer Recurrence ◽  
Epidemiological Studies ◽  
Cancer Prognosis ◽  
Breast Cancer Surgery ◽  
Breast Cancers ◽  
Dietary Records

AbstractDiet may play an important role in breast cancer recurrence or survival, and therefore assessment of long-term diet among breast cancer survivors is important in breast cancer survivorship research. Given that the diet of breast cancer survivors may differ from that of the general population, the use of a FFQ specific to this group may be needed. The objective of this study was to develop a FFQ for breast cancer survivors, the most commonly used tool to measure long-term dietary patterns in nutritional epidemiological studies. We collected information on the foods and amounts of foods consumed using 3-d dietary records from a total of 192 women who had been diagnosed with stage I–III breast cancers and had undergone breast cancer surgery at least 6 months before the baseline study. A total of 1254 foods and dishes consumed were re-grouped by the similarity of the main ingredients and/or serving units, and several dishes commonly consumed among the Korean population were added. After we performed contribution analyses and variability analyses to detect between-person variation for selected nutrients, we listed a total of 123 foods and dishes for the FFQ specific to breast cancer survivors. Our breast cancer survivor-specific FFQ can be used to estimate long-term dietary intake and to examine its association with breast cancer prognosis in epidemiological studies of breast cancer in Korea.

scholarly journals Can Acute Pain Treatment Reduce Postsurgical Comorbidity after Breast Cancer Surgery? A Literature Review

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Fumimasa Amaya ◽  
Toyoshi Hosokawa ◽  
Akiko Okamoto ◽  
Megumi Matsuda ◽  
Yosuke Yamaguchi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Acute Pain ◽  
Pain Treatment ◽  
Cancer Recurrence ◽  
Cancer Surgery ◽  
Breast Cancer Surgery ◽  
Regional Analgesia ◽  
Postsurgical Pain ◽  
Analgesic Regimen ◽  
Definition Of

Regional analgesia, opioids, and several oral analgesics are commonly used for the treatment of acute pain after breast cancer surgery. While all of these treatments can suppress the acute postsurgical pain, there is growing evidence that suggests that the postsurgical comorbidity will differ in accordance with the type of analgesic used during the surgery. Our current study reviewed the effect of analgesics used for acute pain treatments on the major comorbidities that occur after breast cancer surgery. A considerable number of clinical studies have been performed to investigate the relationship between the acute analgesic regimen and common comorbidities, including inadequate quality of recovery after the surgery, persistent postsurgical pain, and cancer recurrence. Previous studies have shown that the choice of the analgesic modality does affect the postsurgical comorbidity. In general, the use of regional analgesics has a beneficial effect on the occurrence of comorbidity. In order to determine the best analgesic choice after breast cancer surgery, prospective studies that are based on a clear definition of the comorbidity state will need to be undertaken in the future.

scholarly journals Predictive Factors for Patients who Need Treatment for Chronic Post-Surgical Pain (CPSP) after Breast Cancer Surgery

2021 ◽  
Author(s):  
Yasuaki Uemoto ◽  
Megumi Uchida ◽  
Naoto Kondo ◽  
Yumi Wanifuchi-Endo ◽  
Takashi Fujita ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Recurrence ◽  
Japanese Version ◽  
Cancer Surgery ◽  
Breast Cancer Recurrence ◽  
Breast Cancer Surgery ◽  
Cross Sectional ◽  
Postsurgical Pain ◽  
Post Surgery ◽  
Chronic Postsurgical Pain

Abstract Purpose: Although chronic postsurgical pain (CPSP) after breast cancer surgery is a common and prevalent postsurgical adverse event, the need for CPSP treatment has not been investigated. This study examined the proportion of patients who needed treatment for CPSP and associated predictors. Methods: We conducted a cross-sectional study with female patients who underwent breast cancer surgery at our institution. Participants were aged ≤65 years at the time of this study and were at least 1 year post surgery. The questionnaire examined the presence of and need for treatment for CPSP and included the Japanese version of the Concerns about Recurrence Scale (CARS-J). Multivariate analyses were used to identify independent predictors of needing treatment for CPSP.Results: In total, 305 patients completed the questionnaire. The mean time since surgery was 67.1 months; 151 (51%) patients developed CPSP after breast cancer surgery and 61 (39%) needed treatment for CPSP. Among patients that developed CPSP, the fear of breast cancer recurrence as assessed by the CARS-J (odds ratio [OR] 2.22, 95% confidence interval [CI]: 1.30–3.81, P=0.004) and >2 postsurgical pain regions (OR 2.52, 95% CI: 1.16–5.57, P=0.020) were independent predictors of needing treatment for CPSP.Conclusions: This study is the first to identify the proportion and predictors of patients who need treatment for CPSP. Fear of breast cancer recurrence and >2 postsurgical pain regions may predict the need for CPSP treatment among patients following breast cancer surgery.

scholarly journals Exercise Barriers and Facilitators for Breast Cancer Patients After Surgery: A Qualitative Content Analysis

2021 ◽  
Vol 30 (2) ◽  
pp. 192-204
Author(s):  
Su Jin Yeon ◽  
Ji Hee Min ◽  
Ji Yong Byeon ◽  
Jin Joo Min ◽  
Ji In Ryu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Exercise Intervention ◽  
Health Management ◽  
Qualitative Content Analysis ◽  
Cancer Recurrence ◽  
Breast Cancer Surgery ◽  
Breast Cancer Patients ◽  
Positive Effects ◽  
Barriers To Exercise ◽  
Education Support

PURPOSE: This study aimed to understand the barriers to exercise and facilitators of exercise for up to 4 weeks following breast cancer surgery.METHODS: A descriptive qualitative research method was used in this study. Twelve patients were recruited through purposive sampling immediately after breast cancer surgery.RESULTS: Physical aspects (pain at the surgery site, reduction in the range of motion, and decrease in fitness), environmental aspects (difficulty in movement due to drain, lack of information on exercise), and psychological aspects (concerns about side effects, fear of pain, and fear of injury during exercise) were identified as barriers to exercise. Expectation of positive effects (recovery from surgery, prevention of lymphedema, usefulness for future radiation therapy, prevention of cancer recurrence, and health management) of exercise and social support (hospital education, support from medical staff, and exercise information received via mass media) were identified as facilitators of exercise.CONCLUSIONS: We recognized different barriers to exercise and facilitators of exercise among patients who recently underwent breast cancer surgery. Future exercise intervention studies should consider minimizing such barriers and maximizing the facilitators identified in our study.

Mammography-based radiomics for predicting the risk of breast cancer recurrence: a multicenter study

2021 ◽  
pp. 20210348
Author(s):  
Ning Mao ◽  
Ping Yin ◽  
Haicheng Zhang ◽  
Kun Zhang ◽  
Xicheng Song ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Invasive Breast Cancer ◽  
Cancer Recurrence ◽  
Oncotype Dx ◽  
Breast Cancer Recurrence ◽  
Training Set ◽  
Er Positive ◽  
Test Sets ◽  
External Test ◽  
Radiomics Signature

Objective: This study aimed to establish a mammography-based radiomics model for predicting the risk of estrogen receptor (ER)-positive, lymph node (LN)-negative invasive breast cancer recurrence based on Oncotype DX and validated it by using multicenter data. Methods: A total of 304 potentially eligible patients with pre-operative mammography images and available Oncotype DX score were retrospectively enrolled from two hospitals. The patients were grouped as training set (168 patients), internal test set (72 patients), and external test set (64 patients). Radiomics features were extracted from the mammography images of each patient. Spearman correlation analysis, analysis of variance, and least absolute shrinkage and selection operator regression were performed to reduce the redundant features in the training set, and the least absolute shrinkage and selection operator algorithm was used to construct the radiomics signature based on selected features. Multivariate logistic regression was utilized to construct classification models that included radiomics signature and clinical risk factors to predict low vs intermediate and high recurrence risk of ER-positive, LN-negative invasive breast cancer in the training set. The models were evaluated with the receiver operating characteristic curve in the training set. The internal and external test sets were used to confirm the discriminatory power of the models. The clinical usefulness was evaluated by using decision curve analysis. Results: The radiomics signature consisting of three radiomics features achieved favorable prediction performance. The multivariate logistic regression model including radiomics signature and clinical risk factors (tumor grade and HER 2) showed good performance with areas under the curve of 0.92 (95% confidence interval [CI] 0.86 to 0.97), 0.88 (95% CI 0.75 to 1.00), and 0.84 (95% CI 0.69 to 0.99) in the training, internal and external test sets, respectively. The DCA indicated that when the threshold probability is ranges from 0.1 to 1.0, the radiomics model adds more net benefit than the “treat all” or “treat none” scheme in internal and external test sets. Conclusion: As a non-invasive pre-operative prediction tool, the mammography-based radiomics model incorporating radiomics and clinical factors show favorable predictive performance for predicting the risk of ER-positive, LN-negative invasive breast cancer recurrence based on Oncotype DX. Advances in knowledge: The mammography-based radiomics model incorporating radiomics and clinical factors shows favorable predictive performance for predicting the risk of ER-positive, LN-negative invasive breast cancer recurrence.

scholarly journals Total Intravenous Anesthesia versus Inhalation Anesthesia for Breast Cancer Surgery

2019 ◽  
Vol 130 (1) ◽  
pp. 31-40 ◽  
Author(s):  
Seokha Yoo ◽  
Han-Byoel Lee ◽  
Wonshik Han ◽  
Dong-Young Noh ◽  
Sun-Kyung Park ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Retrospective Cohort ◽  
Cancer Recurrence ◽  
Cancer Surgery ◽  
Breast Cancer Surgery ◽  
Recurrence Free Survival ◽  
Inhalation Anesthesia ◽  
Free Survival ◽  
Volatile Anesthesia

Abstract EDITOR’S PERSPECTIVE What We Know about This Topic IV anesthesia may impair anticancer immunity less than volatile anesthesia and therefore reduce recurrence risk What This Article Tells Us That Is New In a large propensity-matched retrospective cohort analysis, the authors compared total IV and volatile anesthesia for breast cancer surgery Recurrence hazard was similar with each approach Selection of IV or volatile anesthesia should be based on factors other than cancer recurrence Background The association between type of anesthesia used and recurrence of cancer remains controversial. This retrospective cohort study compared the influence of total IV anesthesia and inhalation anesthesia on the primary outcome of recurrence-free survival after breast cancer surgery. Methods The authors reviewed the electronic medical records of patients who had breast cancer surgery at a tertiary care teaching hospital between January 2005 and December 2013. The patients were grouped according to whether IV or inhalation anesthesia was used for surgery. Propensity score matching was used to account for differences in baseline characteristics. Kaplan–Meier survival curves were constructed to evaluate the influence of type of anesthesia on recurrence-free survival and overall survival. The risks of cancer recurrence and all-cause mortality were compared between each type of anesthesia. Results Of 7,678 patients who had breast cancer surgery during the study period, data for 5,331 patients were available for analysis (IV group, n = 3,085; inhalation group, n = 2,246). After propensity score matching, 1,766 patients remained in each group. Kaplan–Meier survival curves showed that there was no significant difference in recurrence-free survival or overall survival between the two groups, with 5-yr recurrence-free survival rates of 93.2% (95% CI, 91.9 to 94.5) in the IV group and 93.8% (95% CI, 92.6 to 95.1) in the inhalation group. Inhalation anesthesia had no significant impact on recurrence-free survival (hazard ratio, 0.96; 95% CI, 0.69 to 1.32; P = 0.782) or overall survival (hazard ratio, 0.96; 95% CI, 0.69 to 1.33, P = 0.805) when compared with total IV anesthesia. Conclusions The authors found no association between type of anesthesia used and the long-term prognosis of breast cancer. The results of this retrospective cohort study do not suggest specific selection of IV or inhalation anesthesia for breast cancer surgery.

scholarly journals Performance of Cancer Recurrence Algorithms After Coding Scheme Switch From International Classification of Diseases 9th Revision to International Classification of Diseases 10th Revision

2019 ◽  
pp. 1-9 ◽  
Author(s):  
Nikki M. Carroll ◽  
Debra P. Ritzwoller ◽  
Matthew P. Banegas ◽  
Maureen O’Keeffe-Rosetti ◽  
Angel M. Cronin ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Performance Measures ◽  
Cancer Recurrence ◽  
International Classification Of Diseases ◽  
International Classification ◽  
Receiver Operating Curve ◽  
Classification Of Diseases ◽  
The Impact ◽  
Receiver Operating

PURPOSE We previously developed and validated informatic algorithms that used International Classification of Diseases 9th revision (ICD9)–based diagnostic and procedure codes to detect the presence and timing of cancer recurrence (the RECUR Algorithms). In 2015, ICD10 replaced ICD9 as the worldwide coding standard. To understand the impact of this transition, we evaluated the performance of the RECUR Algorithms after incorporating ICD10 codes. METHODS Using publicly available translation tables along with clinician and other expertise, we updated the algorithms to include ICD10 codes as additional input variables. We evaluated the performance of the algorithms using gold standard recurrence measures associated with a contemporary cohort of patients with stage I to III breast, colorectal, and lung (excluding IIIB) cancer and derived performance measures, including the area under the receiver operating curve, average absolute prediction error, and correct classification rate. These values were compared with the performance measures derived from the validation of the original algorithms. RESULTS A total of 659 colorectal, 280 lung, and 2,053 breast cancer cases were identified. Area under the receiver operating curve derived from the updated algorithms was 89.0% (95% CI, 82.3% to 95.7%), 88.9% (95% CI, 79.3% to 98.2%), and 80.5% (95% CI, 72.8% to 88.2%) for the colorectal, lung, and breast cancer algorithms, respectively. Average absolute prediction errors for recurrence timing were 2.7 (SE, 11.3%), 2.4 (SE, 10.4%), and 5.6 months (SE, 21.8%), respectively, and timing estimates were within 6 months of actual recurrence for more than 80% of colorectal, more than 90% of lung, and more than 50% of breast cancer cases using the updated algorithm. CONCLUSION Performance measures derived from the updated and original algorithms had overlapping confidence intervals, suggesting that the ICD9 to ICD10 transition did not affect the RECUR Algorithm performance.

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