Cardiovascular disease and cancer are the two leading chronic conditions contributing to global mortality. With the rising incidence of cancer, the prevalence of cancer therapy-related cardiovascular complications has also increased, driving the development of the emerging field of cardio-oncology. The advancement of precision medicine offers new opportunities for the individualized and targeted management of cardiovascular toxicities associated with cancer treatment. Artificial intelligence (AI) has the potential to overcome traditional limitations in medical data integration, dynamic monitoring, and interdisciplinary collaboration, thereby accelerating the application of precision medicine in cardio-oncology. By enabling personalized treatment and reducing cardiovascular complications in cancer patients, AI serves as a critical tool in this domain. This article provides an in-depth interpretation of the “Artificial intelligence to enhance precision medicine in cardio-oncology: a scientific statement from the American Heart Association” aiming to inform the integration of AI into precision medicine in China. The goal is to promote its application in the management of cardiovascular diseases related to cancer therapy and to achieve precision management in this context.
Non-small cell lung cancer is one of the cancers with the highest incidence and mortality rate in the world, and precise prognostic models can guide clinical treatment plans. With the continuous upgrading of computer technology, deep learning as a breakthrough technology of artificial intelligence has shown good performance and great potential in the application of non-small cell lung cancer prognosis model. The research on the application of deep learning in survival and recurrence prediction, efficacy prediction, distant metastasis prediction, and complication prediction of non-small cell lung cancer has made some progress, and it shows a trend of multi-omics and multi-modal joint, but there are still shortcomings, which should be further explored in the future to strengthen model verification and solve practical problems in clinical practice.
ObjectiveTo explore the value of multidisciplinary team (MDT) discussion in the comprehensive treatment of HER-2 positive breast cancer.MethodThe clinical data of 2 patients with HER-2 positive breast cancer admitted to the Affiliated Hospital of Southwest Medical University after MDT discussions were analyzed retrospectively.ResultsCase 1 was a 32-year-old woman diagnosed with left breast non-special type invasive carcinoma at admission, cT2N1M0, stage ⅡB, WHO grade 2, ER (–), PR (–), HER-2 (+++), Ki-67 (+, 20%). After MDT discussion, the patient was treated with neoadjuvant chemotherapy for 6 cycles, and the efficacy evaluation was partial response, received left breast conserving surgery and axillary lymph node dissection (ALND), postoperative staging ypT1aN1ycM0, stage ⅡA, Miller-Payne grade 4, the patient was satisfied with the shape of breast, received radiotherapy and anti-HER-2 therapy after surgery. At present, there was no recurrence and metastasis during anti-HER-2 therapy. Case 2 was diagnosed with right breast non-special type invasive carcinoma at admission, cT3N0M0, stage ⅡB, WHO grade 3, ER (–), PR (–), HER-2 (+++), Ki-67 (+, 40%), local advanced breast cancer. After MDT discussion, the patient was treated with neoadjuvant chemotherapy for 2 cycles, and the efficacy evaluation was progressive disease. After the replacement of two neoadjuvant chemotherapy regimen, the efficacy evaluation was still progressive disease. Finally after MDT discussion, the patient received right breast mastectomy and ALND, postoperative staging ypT4bN1ycM0, stage ⅢB, Miller-Payne grade 1, received radiotherapy, adjuvant treatment with pyrotinib and capecitabine after surgery. The patient was followed up for 3 months by telephone, the patient did not follow the doctor’ instructions, no recurrence and metastasis was found in the review.ConclusionUnder the precision medical system, comprehensive treatment of breast cancer based on the MDT model could target patients’ disease characteristics, physical conditions, previous diagnosis and treatment, family situation, and other individual factors, formulate the best personal treatment plan for patients, and bring greater benefits to patients.
ObjectiveTo review and evaluate the research progress of the robot-assisted joint arthroplasty.MethodsThe domestic and foreign related research literature on robot-assisted joint arthroplasty was extensively consulted. The advantages, disadvantages, effectiveness, and future prospects were mainly reviewed and summarized.ResultsThe widely recognized advantages of robot-assisted joint arthroplasty are digital and intelligent preoperative planning, accurate intraoperative prosthesis implantation, and quantitative soft tissue balance, as well as good postoperative imaging prosthesis position and alignment. However, the advantages of effectiveness are still controversial. The main disadvantages of robot-assisted joint arthroplasty are the high price of the robot system, the prolonged operation time, and the increased radioactive damage of the imaging-dependent system.ConclusionCompared to traditional arthroplasty, robot-assisted joint arthroplasty can improve the accuracy of the prosthesis position and assist in the quantitative assessment of soft tissue tension, and the repeatability rate is high. In the future, further research is needed to evaluate the clinical function and survival rate of the prosthesis, as well as to optimize the robot system.
Objective To investigate the safety and feasibility of transcatheter arterial chemoembolization (TACE) assisted by transradial approach and cone beam computed tomography (CBCT) three-dimensional vascular reconstruction in the treatment of primary liver cancer. Methods The clinical data of 124 patients with primary liver cancer who underwent precision TACE via radial artery in our hospital from May 2018 to December 2019 were retrospectively collected. Results Among the 124 patients, 118 patients were successfully punctured through the left radial artery and completed the TACE operation. The operation time was (109.57±31.32) min, and the median of postoperative hospitalization was 3 d. One patient changed to the right radial artery to complete TACE due to chronic renal failure and left brachial artery and vein puncture and catheterization before operation. The operation time was 119 minutes, and the patient was discharged after 5 days of hospitalization. After successful puncture of the left radial artery in one patient, the forearm artery was twisted into a loop and the guide wire catheter failed to pass, and the right femoral artery was used to complete TACE. The operation time was 123 minutes, and the patient was discharged after 4 days of improvement. The radial artery puncture was unsuccessful in four patients, and the right femoral artery approach was used to complete the operation; the operation time was (111.66±32.77) min, and the median of postoperative hospitalization was 3 d. One of the patients successfully completed up to 5 consecutive TACE via the radial artery. All patients underwent precision TACE with superselective cannulation assisted by CBCT three-dimensional vascular reconstruction. No vascular injury andocclusion, urinary retention, subcutaneous hemorrhage, and other complications occurred in all patients. Conclusions Trans-radial arterial precision TACE is safe and effective, which can be repeated many times and has few complications and high patient comfort. It can be used as one of the routine approaches of TACE.
Lung cancer is one of the leading causes of cancer deaths worldwide. Many options including surgery, radiotherapy, chemotherapy, targeted therapy and immunotherapy have been applied in the treatment for lung cancer patients. However, how to develop individualized treatment plans for patients and accurately determine the prognosis of patients is still a very difficult clinical problem. In recent years, radiomics, as an emerging method for medical image analysis, has gradually received the attention from researchers. It is based on the assumption that medical images contain a vast amount of biological information about patients that is difficult to identify with naked eyes but can be accessed by computer. One of the most common uses of radiomics is the diagnosis and treatment of non-small cell lung cancer (NSCLC). In this review, we reviewed the current researches on chest CT-based radiomics in the diagnosis and treatment of NSCLC and provided a brief summary of the current state of research in this field, covering various aspects of qualitative diagnosis, efficacy prediction, and prognostic analysis of lung cancer. We also briefly described the main current technical limitations of this technology with the aim of gaining a broader understanding of its potential role in the diagnosis and treatment of NSCLC and advancing its development as a tool for individualized management of NSCLC patients.
Neurofibromatosis type 1 (NF1) is an autosomal dominant genetic disease caused by the mutations in the NF1 gene, with an incidence of approximately 1/3 000. Affecting multiple organs and systems throughout the body, NF1 caused a wide variety of clinical symptoms. A comprehensive multidisciplinary diagnostic and treatment model is needed to meet the diverse needs of NF1 patients and improve their quality of life. In recent years, the emergence of targeted therapies has further benefited NF1 patients, and the number of clinical consultations has increased dramatically. However, due to the rarity of the disease itself and insufficient attention previously, the standardized, systematic, and precise diagnosis and treatment model of NF1 still needs to be further improved. In this paper, we reviewed the current status of comprehensive diagnosis and treatment of NF1 in China, combine with our long-term experiences in diagnosis and treatment of this disease. Meanwhile, we propose future directions and several suggestions for the comprehensive diagnosis and treatment model for Chinese NF1 patients.
Image interpolation is often required during medical image processing and analysis. Although interpolation method based on Gaussian radial basis function (GRBF) has high precision, the long calculation time still limits its application in field of image interpolation. To overcome this problem, a method of two-dimensional and three-dimensional medical image GRBF interpolation based on computing unified device architecture (CUDA) is proposed in this paper. According to single instruction multiple threads (SIMT) executive model of CUDA, various optimizing measures such as coalesced access and shared memory are adopted in this study. To eliminate the edge distortion of image interpolation, natural suture algorithm is utilized in overlapping regions while adopting data space strategy of separating 2D images into blocks or dividing 3D images into sub-volumes. Keeping a high interpolation precision, the 2D and 3D medical image GRBF interpolation achieved great acceleration in each basic computing step. The experiments showed that the operative efficiency of image GRBF interpolation based on CUDA platform was obviously improved compared with CPU calculation. The present method is of a considerable reference value in the application field of image interpolation.
Cancer presents a significant global public health challenge, impacting human health on a broad scale. In recent years, the rapid advancement of big data-based bioinformatics has unveiled crucial potential in precision oncology through various omics research methods. The advent of radiomics has notably expanded the application scope of medical imaging in the field. However, due to the multi-level and multifactorial nature of tumor initiation and progression, a single omics information remains insufficient to meet the demands for advancing precision oncology strategies. Multi-omics research has become an emerging trend. The research paradigm integrating radiomics with other omics offers a novel perspective for personalized decision-making in oncology. Nevertheless, there persists a need to introduce more integrated new technologies and theories to expedite the progress of this field.
