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https://www.readbyqxmd.com/read/29159811/a-deep-learning-method-for-classifying-mammographic-breast-density-categories
#1
Aly A Mohamed, Wendie A Berg, Hong Peng, Yahong Luo, Rachel C Jankowitz, Shandong Wu
PURPOSE: Mammographic breast density is an established risk marker for breast cancer and is visually assessed by radiologists in routine mammogram image reading, using four qualitative Breast Imaging and Reporting Data System (BI-RADS) breast density categories. It is particularly difficult for radiologists to consistently distinguish the two most common and most variably assigned BI-RADS categories, i.e., "scattered density" and "heterogeneously dense". The aim of this work was to investigate a deep learning-based breast density classifier to consistently distinguish these two categories, aiming at providing a potential computerized tool to assist radiologists in assigning a BI-RADS category in current clinical workflow...
November 21, 2017: Medical Physics
https://www.readbyqxmd.com/read/29159792/seom-clinical-guidelines-for-the-treatment-of-head-and-neck-cancer-2017
#2
L C Iglesias Docampo, V Arrazubi Arrula, N Baste Rotllan, A Carral Maseda, B Cirauqui Cirauqui, Y Escobar, J J Lambea Sorrosal, M Pastor Borgoñón, A Rueda, J J Cruz Hernández
Head and neck cancer (HNC) is defined as malignant tumours located in the upper aerodigestive tract and represents 5% of oncologic cases in adults in Spain. More than 90% of these tumours have squamous histology. In an effort to incorporate evidence obtained since 2013 publication, Spanish Society of Medical Oncology (SEOM) presents an update of HNC diagnosis and treatment guideline. The eighth edition of TNM classification, published in January 2017, introduces important changes for p16-positive oropharyngeal tumours, for lip and oral cavity cancer and for N3 category...
November 20, 2017: Clinical & Translational Oncology
https://www.readbyqxmd.com/read/29159773/japan-society-of-gynecologic-oncology-guidelines-2015-for-the-treatment-of-vulvar-cancer-and-vaginal-cancer
#3
Toshiaki Saito, Tsutomu Tabata, Hitoshi Ikushima, Hiroyuki Yanai, Hironori Tashiro, Hitoshi Niikura, Takeo Minaguchi, Toshinari Muramatsu, Tsukasa Baba, Wataru Yamagami, Kazuya Ariyoshi, Kimio Ushijima, Mikio Mikami, Satoru Nagase, Masanori Kaneuchi, Nobuo Yaegashi, Yasuhiro Udagawa, Hidetaka Katabuchi
BACKGROUND: Vulvar cancer and vaginal cancer are relatively rare tumors, and there had been no established treatment principles or guidelines to treat these rare tumors in Japan. The first version of the Japan Society of Gynecologic Oncology (JSGO) guidelines for the treatment of vulvar cancer and vaginal cancer was published in 2015 in Japanese. OBJECTIVE: The JSGO committee decided to publish the English version of the JSGO guidelines worldwide, and hope it will be a useful guide to physicians in a similar situation as in Japan...
November 20, 2017: International Journal of Clinical Oncology
https://www.readbyqxmd.com/read/29159742/validation-of-the-recent-psogi-pathological-classification-of-pseudomyxoma-peritonei-in-a-single-center-series-of-265-patients-treated-by-cytoreductive-surgery-and-hyperthermic-intraperitoneal-chemotherapy
#4
Dario Baratti, Shigeki Kusamura, Massimo Milione, Federica Bruno, Marcello Guaglio, Marcello Deraco
BACKGROUND: Controversies still persist regarding the terminology and pathologic classification of appendiceal mucinous neoplasms and associated pseudomyxoma peritonei (PMP). We assessed reproducibility and prognostic significance of the classification recently proposed by the Peritoneal Surface Oncology Group International (PSOGI). METHODS: A prospective database of 265 PMP patients uniformly treated by cytoreductive surgery and hyperthermic intraperitoneal chemotherapy (CRS/HIPEC) from 1995 to 2017 was reviewed...
November 20, 2017: Annals of Surgical Oncology
https://www.readbyqxmd.com/read/29159365/novel-stool-based-protein-biomarkers-for-improved-colorectal-cancer-screening-a-case-control-study
#5
Linda J W Bosch, Meike de Wit, Thang V Pham, Veerle M H Coupé, Annemieke C Hiemstra, Sander R Piersma, Gideon Oudgenoeg, George L Scheffer, Sandra Mongera, Jochim Terhaar Sive Droste, Frank A Oort, Sietze T van Turenhout, Ilhame Ben Larbi, Joost Louwagie, Wim van Criekinge, Rene W M van der Hulst, Chris J J Mulder, Beatriz Carvalho, Remond J A Fijneman, Connie R Jimenez, Gerrit A Meijer
Background: The fecal immunochemical test (FIT) for detecting hemoglobin is used widely for noninvasive colorectal cancer (CRC) screening, but its sensitivity leaves room for improvement. Objective: To identify novel protein biomarkers in stool that outperform or complement hemoglobin in detecting CRC and advanced adenomas. Design: Case-control study. Setting: Colonoscopy-controlled referral population from several centers...
November 21, 2017: Annals of Internal Medicine
https://www.readbyqxmd.com/read/29159255/comparative-diagnostic-performance-of-the-granulocyte-and-neutrophil-counts
#6
Nicola S Pether, Jessica L Brothwood, Cornelis van Berkel, Elaine H Dunwoodie, Robert L Blake, Christopher P Price, Richard G Jones, Karl S Baker, Geoff Hall
Objectives: Use of point-of-care testing is increasing, however many haematology analysers can only determine granulocyte count without further differentiation into neutrophils, eosinophils and basophils. Since the diagnosis of life-threatening neutropenia in cancer patients requires a distinct neutrophil count, this study aimed to determine the comparative performance between the neutrophil and granulocyte count. Design and methods: A database of 508 646 venous full blood count results measured on a laboratory reference analyser was mined from a large oncology unit...
December 2017: Pract Lab Med
https://www.readbyqxmd.com/read/29158785/breast-cancer-cell-line-classification-and-its-relevance-with-breast-tumor-subtyping
#7
REVIEW
Xiaofeng Dai, Hongye Cheng, Zhonghu Bai, Jia Li
Breast cancer cell lines have been widely used for breast cancer modelling which encompasses a panel of diseases with distinct phenotypical associations. Though cell lines provide unlimited homogenous materials for tumor studies and are relatively easy to culture, they are known to accumulate mutations duringthe initial establishment and subsequent series of cultivations. Thus, whether breast cancer cell line heterogeneity reflects that of carcinoma remains an important issue to resolve before drawing any reliable conclusion at the tumor level using cell lines...
2017: Journal of Cancer
https://www.readbyqxmd.com/read/29158043/six-years-after-the-nrc-review-of-epa-s-draft-iris-toxicological-review-of-formaldehyde-regulatory-implications-of-new-science-in-evaluating-formaldehyde-leukemogenicity
#8
Kenneth A Mundt, P Robinan Gentry, Linda D Dell, Joseph V Rodricks, Paolo Boffetta
Shortly after the International Agency for Research on Cancer (IARC) determined that formaldehyde causes leukemia, the United States Environmental Protection Agency (EPA) released its Draft IRIS Toxicological Review of Formaldehyde, also concluding that formaldehyde causes leukemia. Peer review of the EPA Draft IRIS Assessment by a National Academy of Science committee noted that "causal determinations are not supported by the narrative provided in the draft" {NRC 2011}. They offered recommendations for improving the IRIS review and identified several important research gaps...
November 17, 2017: Regulatory Toxicology and Pharmacology: RTP
https://www.readbyqxmd.com/read/29157458/robust-breast-cancer-prediction-system-based-on-rough-set-theory-at-national-cancer-institute-of-egypt
#9
Saeed Khodary M Hamouda, Mohammed E Wahed, Reda H Abo Alez, Khaled Riad
BACKGROUND: Breast cancer is one of the major death causing diseases of the women in the world. Every year more than million women are diagnosed with breast cancer more than half of them will die because of inaccuracies and delays in diagnosis of the disease. High accuracy in cancer prediction is important to improve the treatment quality and the survivability rate of patients. OBJECTIVES: In this paper, we are going to propose a new and robust breast cancer prediction and diagnosis system based on the Rough Set (RS)...
January 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/29157442/a-deep-learning-based-multi-model-ensemble-method-for-cancer-prediction
#10
Yawen Xiao, Jun Wu, Zongli Lin, Xiaodong Zhao
BACKGROUND AND OBJECTIVE: Cancer is a complex worldwide health problem associated with high mortality. With the rapid development of the high-throughput sequencing technology and the application of various machine learning methods that have emerged in recent years, progress in cancer prediction has been increasingly made based on gene expression, providing insight into effective and accurate treatment decision making. Thus, developing machine learning methods, which can successfully distinguish cancer patients from healthy persons, is of great current interest...
January 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/29157273/effect-of-daikenchuto-tj-100-on-gastrointestinal-symptoms-following-laparoscopic-colectomy-in-patients-with-colon-cancer-study-protocol-for-a-randomized-controlled-trial
#11
Nobuaki Hoshino, Kenji Kawada, Koya Hida, Toshiaki Wada, Ryo Takahashi, Mami Yoshitomi, Yoshiharu Sakai
BACKGROUND: Postoperative paralytic ileus can be a difficult complication for both surgeons and patients. Causes and treatments have been discussed for more than two centuries, but have not yet been fully resolved. Daikenchuto (TJ-100, DKT) is a traditional Japanese herbal medicine. Recently, some beneficial mechanisms of DKT to relieve paralytic ileus have been reported. DKT can suppress inflammation, increase intestinal blood flow, and accelerate bowel movements. Therefore, we have designed a randomized controlled trial to investigate the effects of DKT on postoperative gastrointestinal symptoms following laparoscopic colectomy in patients with left-sided colon cancer at a single institution...
November 21, 2017: Trials
https://www.readbyqxmd.com/read/29157215/integration-of-rna-seq-data-with-heterogeneous-microarray-data-for-breast-cancer-profiling
#12
Daniel Castillo, Juan Manuel Gálvez, Luis Javier Herrera, Belén San Román, Fernando Rojas, Ignacio Rojas
BACKGROUND: Nowadays, many public repositories containing large microarray gene expression datasets are available. However, the problem lies in the fact that microarray technology are less powerful and accurate than more recent Next Generation Sequencing technologies, such as RNA-Seq. In any case, information from microarrays is truthful and robust, thus it can be exploited through the integration of microarray data with RNA-Seq data. Additionally, information extraction and acquisition of large number of samples in RNA-Seq still entails very high costs in terms of time and computational resources...
November 21, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/29157115/subgroup-analysis-based-on-prognostic-and-predictive-gene-signatures-for-adjuvant-chemotherapy-in-early-stage-non-small-cell-lung-cancer-patients
#13
Hojin Moon, Yuan Zhao, Dustin Pluta, Hongshik Ahn
In treating patients diagnosed with early Stage I non-small-cell lung cancer (NSCLC), doctors must choose surgery alone, Adjuvant Cisplatin-Based Chemotherapy (ACT) alone or both. For patients with resected stages IB to IIIA, clinical trials have shown a survival advantage from 4-15% with the adoption of ACT. However, due to the inherent toxicity of chemotherapy, it is necessary for doctors to identify patients whose chance of success with ACT is sufficient to justify the risks. This research seeks to use gene expression profiling in the development of a statistical decision-making algorithm to identify patients whose survival rates will improve from ACT treatment...
November 20, 2017: Journal of Biopharmaceutical Statistics
https://www.readbyqxmd.com/read/29156751/identification-of-potential-tissue-specific-cancer-biomarkers-and-development-of-cancer-versus-normal-genomic-classifiers
#14
Akram Mohammed, Greyson Biegert, Jiri Adamec, Tomáš Helikar
Machine learning techniques for cancer prediction and biomarker discovery can hasten cancer detection and significantly improve prognosis. Recent "OMICS" studies which include a variety of cancer and normal tissue samples along with machine learning approaches have the potential to further accelerate such discovery. To demonstrate this potential, 2,175 gene expression samples from nine tissue types were obtained to identify gene sets whose expression is characteristic of each cancer class. Using random forests classification and ten-fold cross-validation, we developed nine single-tissue classifiers, two multi-tissue cancer-versus-normal classifiers, and one multi-tissue normal classifier...
October 17, 2017: Oncotarget
https://www.readbyqxmd.com/read/29156733/an-integrated-lncrna-microrna-and-mrna-signature-to-improve-prognosis-prediction-of-colorectal-cancer
#15
Yongfu Xiong, Rong Wang, Linglong Peng, Wenxian You, Jinlai Wei, Shouru Zhang, Xingye Wu, Jinbao Guo, Jun Xu, Zhenbing Lv, Zhongxue Fu
Although the outcome of patients with colorectal cancer (CRC) has improved significantly, prognosis evaluation still presents challenges due to the disease heterogeneity. Increasing evidences revealed the close correlation between aberrant expression of certain RNAs and the prognosis. We envisioned that combined multiple types of RNAs into a single classifier could improve postoperative risk classification and add prognostic value to the current stage system. Firstly, differentially expressed RNAs including mRNAs, miRNAs and lncRNAs were identified by two different algorithms...
October 17, 2017: Oncotarget
https://www.readbyqxmd.com/read/29156383/diagnosis-of-distant-metastasis-of-lung-cancer-based-on-clinical-and-radiomic-features
#16
Hongyu Zhou, Di Dong, Bojiang Chen, Mengjie Fang, Yue Cheng, Yuncun Gan, Rui Zhang, Liwen Zhang, Yali Zang, Zhenyu Liu, Hairong Zheng, Weimin Li, Jie Tian
OBJECTIVES: To analyze the distant metastasis possibility based on computed tomography (CT) radiomic features in patients with lung cancer. METHODS: This was a retrospective analysis of 348 patients with lung cancer enrolled between 2014 and February 2015. A feature set containing clinical features and 485 radiomic features was extracted from the pretherapy CT images. Feature selection via concave minimization (FSV) was used to select effective features. A support vector machine (SVM) was used to evaluate the predictive ability of each feature...
November 17, 2017: Translational Oncology
https://www.readbyqxmd.com/read/29156196/familial-myelodysplastic-syndrome-acute-myeloid-leukemia
#17
REVIEW
Jane E Churpek
A growing number of inherited genetic loci that contribute to myelodysplastic syndrome/acute myeloid leukemia (MDS/AML) development in both children as well as adults are rapidly being identified. In recognition of the clinical impact of this emerging field, the World Health Organization, National Comprehensive Cancer Network, and European LeukemiaNet have all added consideration of inherited predisposition to MDS/AML classification and management. Study of these disorders is providing unique insight into the biology of both sporadic and familial MDS/AML...
December 2017: Best Practice & Research. Clinical Haematology
https://www.readbyqxmd.com/read/29155996/hierarchical-attention-networks-for-information-extraction-from-cancer-pathology-reports
#18
Shang Gao, Michael T Young, John X Qiu, Hong-Jun Yoon, James B Christian, Paul A Fearn, Georgia D Tourassi, Arvind Ramanthan
Objective: We explored how a deep learning (DL) approach based on hierarchical attention networks (HANs) can improve model performance for multiple information extraction tasks from unstructured cancer pathology reports compared to conventional methods that do not sufficiently capture syntactic and semantic contexts from free-text documents. Materials and Methods: Data for our analyses were obtained from 942 deidentified pathology reports collected by the National Cancer Institute Surveillance, Epidemiology, and End Results program...
November 16, 2017: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/29155864/supraglottic-squamous-cell-carcinomas-have-distinctive-clinical-features-and-prognosis-based-on-subregion
#19
Weiquan Ding, Tianrun Liu, Jiangang Liang, Tingbao Hu, Shaoyun Cui, Guorong Zou, Weiwei Cai, Ankui Yang
OBJECTIVE: To analyze the clinicopathologic characteristics and prognosis of patients with squamous cell carcinoma localized to different supraglottic subregions. METHODS: Clinicopathologic data were reviewed retrospectively for 111 patients with supraglottic squamous cell carcinoma who were diagnosed between January 1, 1995 and December 31, 2005 and were initially treated with surgery. DNA from human papillomavirus (HPV) 16 and (or /and) HPV 18 were detected in all the 111 supraglottic carcinoma specimens using in situ hybridization...
2017: PloS One
https://www.readbyqxmd.com/read/29154447/roles-and-clinical-implications-of-micrornas-in-acute-lymphoblastic-leukemia
#20
REVIEW
Simona Ultimo, Alberto M Martelli, Giorgio Zauli, Marco Vitale, George A Calin, Luca M Neri
MicroRNAs (miRNAs) are a class of small noncoding RNAs which regulate the expression of target genes by binding to messenger RNAs. miRNAs play a role in various biological processes, including proliferation, apoptosis and tumorigenesis. Dysregulation of miRNAs is implicated in invasion and metastasis in several human cancer types, and leukemia is not an exception. Acute Lymphoblastic Leukemia (ALL) is an hematological malignancy characterized by the proliferation of early lymphoid precursors that replace normal hematopoietic cells of the bone marrow...
November 20, 2017: Journal of Cellular Physiology
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