Ovarian cancer(OC)remains one of the most lethal gynecological malignancies globally.Despite the implementation of various medical imaging approaches for OC screening,achieving accurate differential diagnosis of ovari...Ovarian cancer(OC)remains one of the most lethal gynecological malignancies globally.Despite the implementation of various medical imaging approaches for OC screening,achieving accurate differential diagnosis of ovarian tumors continues to pose significant challenges due to variability in image performance,resulting in a lack of objectivity that relies heavily on the expertise of medical professionals.This challenge can be addressed through the emergence and advancement of radiomics,which enables high-throughput extraction of valuable information from conventional medical images.Furthermore,radiomics can integrate with genomics,a novel approach termed radiogenomics,which allows for a more comprehensive,precise,and personalized assessment of tumor biological features.In this review,we present an extensive overview of the application of radiomics and radiogenomics in diagnosing and predicting ovarian tumors.The findings indicate that artificial intelligence methods based on imaging can accurately differentiate between benign and malignant ovarian tumors,as well as classify their subtypes.Moreover,these methods are effective in forecasting survival rates,treatment outcomes,metastasis risk,and recurrence for patients with OC.It is anticipated that these advancements will function as decision-support tools for managing OC while contributing to the advancement of precision medicine.展开更多
BACKGROUND Venous hemangioma is a benign and non-invasive type of tumor,which is rarely identified due to the absence of clinical manifestations.A retroperitoneal benign tumor is comparatively rare,and hemangioma is e...BACKGROUND Venous hemangioma is a benign and non-invasive type of tumor,which is rarely identified due to the absence of clinical manifestations.A retroperitoneal benign tumor is comparatively rare,and hemangioma is exceptional.Because of the different types and locations of hemangioma,presentations are varied;thus,establishing an accurate diagnosis before surgery is challenging.CASE SUMMARY A 45-year-old female patient visited our hospital with the complaint of a retroperitoneal mass without symptoms discovered during a medical examination.An abdominal and pelvic computed tomography(CT)revealed a giant hypodense mass that extended from the lower edge of the liver down to the right groin and showed no marked enhancement in the arterial phase of the enhanced CT.On magnetic resonance imaging,the retroperitoneal mass was hyperintense on the T2-weighted image and hypointense on the T1-weighted image.The mass was completely resected and confirmed as a venous hemangioma by pathology.CONCLUSION Venous hemangioma is rare in adults,and an accurate diagnosis before surgery is challenging.Surgery is the curative treatment for venous hemangioma,and the definitive diagnosis relies on pathology.展开更多
基金supported by the National Natural Science Foundation of China(82001846)the 345 Talent Project of Shengjing Hospital of China Medical University.
文摘Ovarian cancer(OC)remains one of the most lethal gynecological malignancies globally.Despite the implementation of various medical imaging approaches for OC screening,achieving accurate differential diagnosis of ovarian tumors continues to pose significant challenges due to variability in image performance,resulting in a lack of objectivity that relies heavily on the expertise of medical professionals.This challenge can be addressed through the emergence and advancement of radiomics,which enables high-throughput extraction of valuable information from conventional medical images.Furthermore,radiomics can integrate with genomics,a novel approach termed radiogenomics,which allows for a more comprehensive,precise,and personalized assessment of tumor biological features.In this review,we present an extensive overview of the application of radiomics and radiogenomics in diagnosing and predicting ovarian tumors.The findings indicate that artificial intelligence methods based on imaging can accurately differentiate between benign and malignant ovarian tumors,as well as classify their subtypes.Moreover,these methods are effective in forecasting survival rates,treatment outcomes,metastasis risk,and recurrence for patients with OC.It is anticipated that these advancements will function as decision-support tools for managing OC while contributing to the advancement of precision medicine.
文摘BACKGROUND Venous hemangioma is a benign and non-invasive type of tumor,which is rarely identified due to the absence of clinical manifestations.A retroperitoneal benign tumor is comparatively rare,and hemangioma is exceptional.Because of the different types and locations of hemangioma,presentations are varied;thus,establishing an accurate diagnosis before surgery is challenging.CASE SUMMARY A 45-year-old female patient visited our hospital with the complaint of a retroperitoneal mass without symptoms discovered during a medical examination.An abdominal and pelvic computed tomography(CT)revealed a giant hypodense mass that extended from the lower edge of the liver down to the right groin and showed no marked enhancement in the arterial phase of the enhanced CT.On magnetic resonance imaging,the retroperitoneal mass was hyperintense on the T2-weighted image and hypointense on the T1-weighted image.The mass was completely resected and confirmed as a venous hemangioma by pathology.CONCLUSION Venous hemangioma is rare in adults,and an accurate diagnosis before surgery is challenging.Surgery is the curative treatment for venous hemangioma,and the definitive diagnosis relies on pathology.
