keyword
https://read.qxmd.com/read/38500112/development-and-validation-of-a-cadaveric-porcine-pseudotumor-model-for-oral-cancer-biopsy-and-resection-training
#21
JOURNAL ARTICLE
Claire Melchior, Peter Isfort, Till Braunschweig, Max Witjes, Vincent Van den Bosch, Ashkan Rashad, Jan Egger, Matías de la Fuente, Rainer Röhrig, Frank Hölzle, Behrus Puladi
OBJECTIVE: The gold standard of oral cancer (OC) treatment is diagnostic confirmation by biopsy followed by surgical treatment. However, studies have shown that dentists have difficulty performing biopsies, dental students lack knowledge about OC, and surgeons do not always maintain a safe margin during tumor resection. To address this, biopsies and resections could be trained under realistic conditions outside the patient. The aim of this study was to develop and to validate a porcine pseudotumor model of the tongue...
March 7, 2024: BMC Medical Education
https://read.qxmd.com/read/38499846/evaluation-of-the-national-cancer-institute-nci-pathway-to-independence-award-k99-r00-program
#22
JOURNAL ARTICLE
Michael Schmidt, Corinne Boulanger-Espeut, Grace Liou, Nan Ma, Sasha Torres, Susan Cersosimo, Oliver Bogler, Nastaran Zahir
The National Cancer Institute (NCI) K99/R00 award is intended to help postdoctoral scholars transition in a timely manner to research independence and to foster their development of an impactful cancer research program that is competitive for subsequent independent funding. Here we analyzed factors that impact peer review outcomes and evaluated whether NCI K99/R00 awardees have achieved the goals of the K99/R00 funding mechanism. Our analysis of the K99/R00 review criterion scores demonstrates that while all review criterion scores are positively correlated with the overall impact score, the Research Plan criterion is the strongest predictor of the overall impact score and funding outcomes...
March 18, 2024: Journal of Cancer Education: the Official Journal of the American Association for Cancer Education
https://read.qxmd.com/read/38498966/technical-considerations-for-isolated-limb-perfusion-a-consensus-paper
#23
REVIEW
Andrew J Hayes, David J Coker, Lukas Been, Veerle Wsm Boecxstaens, Sylvie Bonvalot, Franco De Cian, Luis de la Cruz-Merino, Carlos Duarte, Alexander Eggermont, Victor Farricha, Marco Fiore, Dirk Grünhagen, Robert Grützmann, Charles Honoré, Jens Jakob, Marko Hocevar, Winan van Houdt, Joseph Klauzner, Christoph Kettelhack, Angela Märten, Hector Martinez-Said, Maurice Matter, Audrey Michot, Maya Niethard, Elisabetta Pennacchioli, Lars E Podleska, Gregorio Rabago, Marco Rastrelli, Sophie Reijers, Matilde Ribeiro, Matthias Schwarzbach, Hayden A Snow, Miroslav Spacek, Stephan Stoldt, Alessandro Testori, Odysseas Zoras, Roger Olofsson Bagge
BACKGROUND: Isolated limb perfusion (ILP) is a well-established surgical procedure for the administration of high dose chemotherapy to a limb for the treatment of advanced extremity malignancy. Although the technique of ILP was first described over 60 years ago, ILP is utilised in relatively few specialist centres, co-located with tertiary or quaternary cancer centres. The combination of high dose cytotoxic chemotherapy and the cytokine tumour necrosis factor alpha (TNFα), mandates leakage monitoring to prevent potentially serious systemic toxicity...
March 6, 2024: European Journal of Surgical Oncology
https://read.qxmd.com/read/38498173/enhancing-the-prediction-of-symptomatic-radiation-pneumonitis-for-locally-advanced-non-small-cell-lung-cancer-by-combining-3d-deep-learning-derived-imaging-features-with-dose-volume-metrics-a%C3%A2-two-center-study
#24
JOURNAL ARTICLE
Yan Kong, Mingming Su, Yan Zhu, Xuan Li, Jinmeng Zhang, Wenchao Gu, Fei Yang, Jialiang Zhou, Jianjiao Ni, Xi Yang, Zhengfei Zhu, Jianfeng Huang
OBJECTIVE: This study aims to examine the ability of deep learning (DL)-derived imaging features for the prediction of radiation pneumonitis (RP) in locally advanced non-small-cell lung cancer (LA-NSCLC) patients. MATERIALS AND METHODS: The study cohort consisted of 90 patients from the Fudan University Shanghai Cancer Center and 59 patients from the Affiliated Hospital of Jiangnan University. Occurrences of RP were used as the endpoint event. A total of 512 3D DL-derived features were extracted from two regions of interest (lung-PTV and PTV-GTV) delineated on the pre-radiotherapy planning CT...
March 18, 2024: Strahlentherapie und Onkologie: Organ der Deutschen Röntgengesellschaft ... [et Al]
https://read.qxmd.com/read/38497085/clinical-pharmacists-knowledge-attitude-perception-and-beliefs-about-the-role-of-pharmacogenetic-testing-for-genes-polymorphisms-when-prescribing-mercaptopurine
#25
JOURNAL ARTICLE
Norah O Abanmy, Sara A Alghamdi, Raneem K Aljudaie, Omar A Almohammed
BACKGROUND: Single nucleotide polymorphisms in the gene encoding proteins involved in mercaptopurine metabolism can influence drug efficacy and safety. This study aims to assess clinical pharmacists' knowledge about mercaptopurine-related genes and their polymorphisms and investigate their attitudes, perceptions, and beliefs about the need for and importance of pharmacogenetic testing for mercaptopurine. METHODS: A cross-sectional descriptive study was conducted among oncology/hematology clinical pharmacists in Saudi Arabia using an online-questionnaire developed by experts in the field...
April 2024: Saudi Pharmaceutical Journal: SPJ: the Official Publication of the Saudi Pharmaceutical Society
https://read.qxmd.com/read/38494562/jeffrey-a-norton-and-the-multiple-endocrine-neoplasia-syndromes
#26
EDITORIAL
Samuel A Wells
BACKGROUND: Jeffrey A. Norton could have been a professional football player but instead he chose to pursue a career in medicine and in the process became an outstanding academic surgeon. This story recounts his ascent from a small town in Massachusetts to the pinnacle of academic surgery. METHODS: After graduating from high school in Albany, New York, Jeff continued his education at Dartmouth University, the State University of New York Upstate Medical University at Syracuse (SUNY Upstate Medical University), and the Department of Surgery at the Duke University School of Medicine...
March 17, 2024: Annals of Surgical Oncology
https://read.qxmd.com/read/38492096/diffusion-weighted-imaging-based-radiomics-model-using-automatic-machine-learning-to-differentiate-cerebral-cystic-metastases-from-brain-abscesses
#27
JOURNAL ARTICLE
Linyang Cui, Zheng Qin, Siyuan Sun, Weihua Feng, Mingyuan Hou, Dexin Yu
OBJECTIVES: To develop a radiomics model based on diffusion-weighted imaging (DWI) utilizing automated machine learning method to differentiate cerebral cystic metastases from brain abscesses. MATERIALS AND METHODS: A total of 186 patients with cerebral cystic metastases (n = 98) and brain abscesses (n = 88) from two clinical institutions were retrospectively included. The datasets (129 from institution A) were randomly portioned into separate 75% training and 25% internal testing sets...
March 16, 2024: Journal of Cancer Research and Clinical Oncology
https://read.qxmd.com/read/38485628/-national-survey-of-advanced-practice-nurses-in-oncology-haematology-evaluation-of-activity-and-continuing-education
#28
JOURNAL ARTICLE
Elvire Pons-Tostivint, Laure De Decker, Gaëlle Haudebert, Pauline Hulo, Jeanne Chen, Jaafar Bennouna, Thierry Mira
INTRODUCTION: The number of Advanced Practice Nurses (APNs) has significantly increased in France since 2019, with the number of graduates expected to reach 1700 by the end of 2023, up from approximately 60. Fifteen percent of them specialize in oncology-hematology (APN-OH). Data on their activities, access to continuing education, and expectations are limited. METHODS: We conducted an observational study among practicing APN-OHs in France. A questionnaire was distributed from June to September 2023...
March 13, 2024: Bulletin du Cancer
https://read.qxmd.com/read/38484491/impact-of-sarcopenia-on-the-short-term-and-long-term-outcomes-of-intrahepatic-cholangiocarcinoma-undergoing-hepatectomy-a-multi-center-study
#29
JOURNAL ARTICLE
Rizhao Li, Bo Chen, Ziyan Chen, Qing Su, Qikuan He, Jinhuan Yang, Puchuang Xu, Jiawei Hu, Yuepeng Jin, Zhiyuan Bo
BACKGROUND: Sarcopenia is associated with adverse prognosis of intrahepatic cholangiocarcinoma (iCCA) after surgery. METHODS: 321 patients with iCCA undergoing surgery were retrospectively recruited and assigned to training and validation cohort. Skeletal muscle index (SMI) was assessed to define sarcopenia. Logistic regression and cox regression analysis were used to identify risk factors. A novel sarcopenia-based nomogram was constructed and validated by ROC curves, calibration curves, and DCA curves...
March 4, 2024: European Journal of Surgical Oncology
https://read.qxmd.com/read/38483698/identification-of-a-disulfidptosis-related-lncrna-signature-for-the-prognostic-and-immune-landscape-prediction-in-head-and-neck-squamous-cell-carcinoma
#30
JOURNAL ARTICLE
Zhengyu Wei, Chongchang Zhou, Yi Fang, Hongxia Deng, Zhisen Shen
PURPOSE: Disulfidptosis, a newly identified form of cell death, is triggered by disulfide stress. Herein, a unique signature was developed based on disulfidptosis-related lncRNAs (DRlncRNAs) for the prognostic and immune landscape prediction of head and neck squamous cell carcinoma (HNSCC). METHODS: Transcriptome, somatic mutation, and clinical data were acquired at The Cancer Genome Atlas database. Individuals were partitioned into training and test cohorts at a 1:1 ratio to facilitate the development of a DRlncRNA signature using the least absolute shrinkage and selection operation method...
March 14, 2024: Discover. Oncology
https://read.qxmd.com/read/38479645/cancer-advocacy-in-residency-education-from-principles-to-competencies
#31
REVIEW
Klaus Puschel, Beti Thompson, Andrea Rioseco, Augusto Leon, Carolina Goic, Isabella Fuentes, Zdenka Vescovi
INTRODUCTION: The global cancer burden is increasing. Current global evidence indicates there will be a 47% rise of cancer cases for the period 2020 to 2040. The cancer rate differential also is evident within countries and regions. Efforts have been used to reduce the health disparities; however, the inequity prevails. One potential way to help reduce the disparity is through advocacy by physicians. METHODS: Two recent systematic review articles on advocacy among physicians note that physicians are unlikely to be taught advocacy in medical education, and also note there are no advocacy competencies or skill sets that are either taught or valued in medical education...
March 11, 2024: Journal of Cancer Policy
https://read.qxmd.com/read/38479441/predicting-overall-survival-and-prophylactic-cranial-irradiation-benefit-in-small-cell-lung-cancer-with-ct-based-deep-learning-a-retrospective-multicenter-study
#32
JOURNAL ARTICLE
Xiaomin Zheng, Kaicai Liu, Na Shen, Yankun Gao, Chao Zhu, Cuiping Li, Chang Rong, Shuai Li, Baoxin Qian, Jianying Li, Xingwang Wu
BACKGROUND AND PURPOSE: To develop a computed tomography (CT)-based deep learning model to predict overall survival (OS) among small-cell lung cancer (SCLC) patients and identify patients who could benefit from prophylactic cranial irradiation (PCI) based on OS signature risk stratification. MATERIALS AND METHODS: This study retrospectively included 556 SCLC patients from three medical centers. The training, internal validation, and external validation cohorts comprised 309, 133, and 114 patients, respectively...
March 12, 2024: Radiotherapy and Oncology
https://read.qxmd.com/read/38477370/multimodal-prehabilitation-in-elective-oncological-colorectal-surgery-enhances-preoperative-physical-fitness-a-single-center-prospective-real-world-data-analysis
#33
JOURNAL ARTICLE
David W G Ten Cate, Charissa R Sabajo, Charlotte J L Molenaar, Loes Janssen, Bart C Bongers, Gerrit D Slooter
BACKGROUND: Surgery can lead to curation in colorectal cancer (CRC) but is associated with significant morbidity. Prehabilitation plays an important role in increasing preoperative physical fitness to reduce morbidity risk; however, data from real-world practice is scarce. This study aimed to evaluate the change in preoperative physical fitness and to evaluate which patients benefit most from prehabilitation. MATERIALS AND METHODS: In this single-arm prospective cohort study, consecutive patients undergoing elective colorectal oncological surgery were offered a 3- to 4-week multimodal prehabilitation program (supervised physical exercise training, dietary consultation, protein and vitamin supplementation, smoking cessation, and psychological support)...
February 21, 2024: Acta Oncologica
https://read.qxmd.com/read/38473383/preventing-and-treating-pain-and-anxiety-during-needle-based-procedures-in-children-with-cancer-in-low-and-middle-income-countries
#34
JOURNAL ARTICLE
Michael J McNeil, Ximena Garcia Quintero, Miriam Gonzalez, Yawen Zheng, Cecilia Ugaz Olivares, Roxana Morales, Erica Boldrini, Débora Rebollo de Campos, Daiane Ferreira, Kamalina Coopasamy, Joliza Caneba, Maria Louisa Padernilla, Stefan Friedrichsdorf, Justin N Baker, Paola Friedrich
Introduction : Children with cancer experience significant pain and anxiety during needle-based procedures. Undertreated pain in children has long-lasting consequences and reduces the efficacy of subsequent analgesic efforts. A validated quality improvement (QI) intervention, known as the "Children's Comfort Promise", includes (1) topical anesthetics, (2) sucrose or breastfeeding for infants, (3) comfort positioning, and (4) distraction techniques, and has been shown to be highly effective in decreasing procedural pain and anxiety in children...
March 1, 2024: Cancers
https://read.qxmd.com/read/38472675/enhanced-artificial-intelligence-strategies-in-renal-oncology-iterative-optimization-and-comparative-analysis-of-gpt-3-5-versus-4-0
#35
JOURNAL ARTICLE
Rui Liang, Anguo Zhao, Lei Peng, Xiaojian Xu, Jianye Zhong, Fan Wu, Fulin Yi, Shaohua Zhang, Song Wu, Jianquan Hou
BACKGROUND: The rise of artificial intelligence (AI) in medicine has revealed the potential of ChatGPT as a pivotal tool in medical diagnosis and treatment. This study assesses the efficacy of ChatGPT versions 3.5 and 4.0 in addressing renal cell carcinoma (RCC) clinical inquiries. Notably, fine-tuning and iterative optimization of the model corrected ChatGPT's limitations in this area. METHODS: In our study, 80 RCC-related clinical questions from urology experts were posed three times to both ChatGPT 3...
March 12, 2024: Annals of Surgical Oncology
https://read.qxmd.com/read/38471504/an-accessible-deep-learning-tool-for-voxel-wise-classification-of-brain-malignancies-from-perfusion-mri
#36
JOURNAL ARTICLE
Alonso Garcia-Ruiz, Albert Pons-Escoda, Francesco Grussu, Pablo Naval-Baudin, Camilo Monreal-Aguero, Gretchen Hermann, Roshan Karunamuni, Marta Ligero, Antonio Lopez-Rueda, Laura Oleaga, M Álvaro Berbís, Alberto Cabrera-Zubizarreta, Teodoro Martin-Noguerol, Antonio Luna, Tyler M Seibert, Carlos Majos, Raquel Perez-Lopez
Noninvasive differential diagnosis of brain tumors is currently based on the assessment of magnetic resonance imaging (MRI) coupled with dynamic susceptibility contrast (DSC). However, a definitive diagnosis often requires neurosurgical interventions that compromise patients' quality of life. We apply deep learning on DSC images from histology-confirmed patients with glioblastoma, metastasis, or lymphoma. The convolutional neural network trained on ∼50,000 voxels from 40 patients provides intratumor probability maps that yield clinical-grade diagnosis...
March 5, 2024: Cell reports medicine
https://read.qxmd.com/read/38468110/institution-wide-retreats-foster-organizational-learning-and-action-at-a-comprehensive-cancer-center
#37
JOURNAL ARTICLE
Benjamin R Schrank, John A Fuller, Colleen M Gallagher, Van K Morris, Emma B Holliday, Kelly Merriman, Lynne Nguyen, Lou Weaver, Kelly Nelson, Elizabeth Chiao, Albert C Koong, Ernest Hawk, Shine Chang
Providing safe and informed healthcare for sexual and gender minority (SGM) individuals with cancer is stymied by the lack of sexual orientation and gender identity (SOGI) data reliably available in health records and by insufficient training for staff. Approaches that support institutional learning, especially around sensitive topics, are essential for hospitals seeking to improve practices impacting patient safety and research. We engineered annual institutional retreats to identify and unify stakeholders, promote awareness of gaps and needs, identify initiatives, minimize redundant projects, and coordinate efforts that promote improvements in SGM cancer care, education, and research...
March 12, 2024: Journal of Cancer Education: the Official Journal of the American Association for Cancer Education
https://read.qxmd.com/read/38467160/-the-covid-pandemic-and-specialist-training-in-head-and-neck-oncology-a-survey-among-physicians
#38
JOURNAL ARTICLE
Naomi Pollet, Maike Trommer, Sami Shabli, Simone Marnitz, Shachi Jenny Sharma
OBJECTIVE: The COVID-19 pandemic has had a profound impact on the healthcare system and medical education. In this publication, the influence of the pandemic on the education of physicians active in Head and Neck oncology was examined using a survey. METHODS: A survey comprising 53 questions was conducted to gather data on work settings, daily activities, team events, and educational aspects during the pandemic. A total of 497 oncologists participated, including 131 individuals working in the field of Head and Neck oncology...
March 11, 2024: Laryngo- Rhino- Otologie
https://read.qxmd.com/read/38466701/menet-a-mitscherlich-function-based-ensemble-of-cnn-models-to-classify-lung-cancer-using-ct-scans
#39
JOURNAL ARTICLE
Surya Majumder, Nandita Gautam, Abhishek Basu, Arup Sau, Zong Woo Geem, Ram Sarkar
Lung cancer is one of the leading causes of cancer-related deaths worldwide. To reduce the mortality rate, early detection and proper treatment should be ensured. Computer-aided diagnosis methods analyze different modalities of medical images to increase diagnostic precision. In this paper, we propose an ensemble model, called the Mitscherlich function-based Ensemble Network (MENet), which combines the prediction probabilities obtained from three deep learning models, namely Xception, InceptionResNetV2, and MobileNetV2, to improve the accuracy of a lung cancer prediction model...
2024: PloS One
https://read.qxmd.com/read/38463354/nomogram-model-including-lats2-expression-was-constructed-to-predict-the-prognosis-of-advanced-gastric-cancer-after-surgery
#40
JOURNAL ARTICLE
Nan Sun, Bi-Bo Tan, Yong Li
BACKGROUND: Gastric cancer is a leading cause of cancer-related deaths worldwide. Prognostic assessments are typically based on the tumor-node-metastasis (TNM) staging system, which does not account for the molecular heterogeneity of this disease. LATS2 , a tumor suppressor gene involved in the Hippo signaling pathway, has been identified as a potential prognostic biomarker in gastric cancer. AIM: To construct and validate a nomogram model that includes LATS2 expression to predict the survival prognosis of advanced gastric cancer patients following radical surgery, and compare its predictive performance with traditional TNM staging...
February 27, 2024: World Journal of Gastrointestinal Surgery
keyword
keyword
70787
2
3
Fetch more papers »
Fetching more papers... Fetching...
Remove bar
Read by QxMD icon Read
×

Save your favorite articles in one place with a free QxMD account.

×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"

We want to hear from doctors like you!

Take a second to answer a survey question.