The incidence of gastrointestinal malignancies has increased over the past decade at an alarming rate.Colorectal and gastric cancers are the third and fifth most commonly diagnosed cancers worldwide but are cited as t...The incidence of gastrointestinal malignancies has increased over the past decade at an alarming rate.Colorectal and gastric cancers are the third and fifth most commonly diagnosed cancers worldwide but are cited as the second and third leading causes of mortality.Early institution of appropriate therapy from timely diagnosis can optimize patient outcomes.Artificial intelligence(AI)-assisted diagnostic,prognostic,and therapeutic tools can assist in expeditious diagnosis,treatment planning/response prediction,and post-surgical prognostication.AI can intercept neoplastic lesions in their primordial stages,accurately flag suspicious and/or inconspicuous lesions with greater accuracy on radiologic,histopathological,and/or endoscopic analyses,and eliminate over-dependence on clinicians.AI-based models have shown to be on par,and sometimes even outperformed experienced gastroenterologists and radiologists.Convolutional neural networks(state-of-the-art deep learning models)are powerful computational models,invaluable to the field of precision oncology.These models not only reliably classify images,but also accurately predict response to chemotherapy,tumor recurrence,metastasis,and survival rates post-treatment.In this systematic review,we analyze the available evidence about the diagnostic,prognostic,and therapeutic utility of artificial intelligence in gastrointestinal oncology.展开更多
BACKGROUND Cancer diagnosis is increasing around the world and in the Democratic Republic of the Congo(DRC).The proportion of thyroid cancer has increased over the past three decades.There are very few studies on canc...BACKGROUND Cancer diagnosis is increasing around the world and in the Democratic Republic of the Congo(DRC).The proportion of thyroid cancer has increased over the past three decades.There are very few studies on cancer epidemiology,and in particular on thyroid cancer in the DRC.AIM To establish the most recent proportion of thyroid cancer in the DRC compared to other cancers.METHODS This is a retrospective and descriptive study of 6106 consecutive cancer cases listed in the pathological registers of 4 Laboratories in the city of Kinshasa.This study included all cancer cases recorded in the registers between 2005 and 2019.RESULTS From a sample of 6106 patients,including all cancer types,68.3%cases were female and 31.7%were male.Breast and cervical cancer were the most common types of cancer in women and,prostate and skin cancer were the most common types in men.Thyroid cancer was sixth in proportion in women and eleventh in men compared to all cancers.Papillary carcinoma was the most common of thyroid cancers.Rare cancers such as anaplastic and medullary thyroid carcinomas had a proportion of 7%and 2%,respectively.CONCLUSION Newer diagnostic tools led to a surge in cancer diagnoses in the DRC.Thyroid cancer has more than doubled its proportion over the last several decades in the country.展开更多
文摘The incidence of gastrointestinal malignancies has increased over the past decade at an alarming rate.Colorectal and gastric cancers are the third and fifth most commonly diagnosed cancers worldwide but are cited as the second and third leading causes of mortality.Early institution of appropriate therapy from timely diagnosis can optimize patient outcomes.Artificial intelligence(AI)-assisted diagnostic,prognostic,and therapeutic tools can assist in expeditious diagnosis,treatment planning/response prediction,and post-surgical prognostication.AI can intercept neoplastic lesions in their primordial stages,accurately flag suspicious and/or inconspicuous lesions with greater accuracy on radiologic,histopathological,and/or endoscopic analyses,and eliminate over-dependence on clinicians.AI-based models have shown to be on par,and sometimes even outperformed experienced gastroenterologists and radiologists.Convolutional neural networks(state-of-the-art deep learning models)are powerful computational models,invaluable to the field of precision oncology.These models not only reliably classify images,but also accurately predict response to chemotherapy,tumor recurrence,metastasis,and survival rates post-treatment.In this systematic review,we analyze the available evidence about the diagnostic,prognostic,and therapeutic utility of artificial intelligence in gastrointestinal oncology.
文摘BACKGROUND Cancer diagnosis is increasing around the world and in the Democratic Republic of the Congo(DRC).The proportion of thyroid cancer has increased over the past three decades.There are very few studies on cancer epidemiology,and in particular on thyroid cancer in the DRC.AIM To establish the most recent proportion of thyroid cancer in the DRC compared to other cancers.METHODS This is a retrospective and descriptive study of 6106 consecutive cancer cases listed in the pathological registers of 4 Laboratories in the city of Kinshasa.This study included all cancer cases recorded in the registers between 2005 and 2019.RESULTS From a sample of 6106 patients,including all cancer types,68.3%cases were female and 31.7%were male.Breast and cervical cancer were the most common types of cancer in women and,prostate and skin cancer were the most common types in men.Thyroid cancer was sixth in proportion in women and eleventh in men compared to all cancers.Papillary carcinoma was the most common of thyroid cancers.Rare cancers such as anaplastic and medullary thyroid carcinomas had a proportion of 7%and 2%,respectively.CONCLUSION Newer diagnostic tools led to a surge in cancer diagnoses in the DRC.Thyroid cancer has more than doubled its proportion over the last several decades in the country.
