Radiotherapy is main method in treating cervical cancer,and the rapid advancement of artificial intelligence(AI)technique is providing entirely new solutions for radiotherapy for cervical cancer.The AI means that is represented by deep learning is deeply integrating into the whole process of diagnosis,treatment and management for cervical cancer,which can promote intelligent and precise development of radiotherapy workflows.Currently,the applied cores of AI in radiotherapy for cervical cancer include image registration,target delineation,optimization of radiotherapy planning and risk assessment,which can significantly enhance efficiency and precision of treatment.But,AI is facing some challenges in clinical applications include data quality,and algorithm's robustness and interpretability at the same time.Depended on the above analyses,this paper systematically reviewed the frontier applications and progress in practice of AI in radiotherapy for cervical cancer,which especially analyzed technical advantages and limitations of AI in key link,and explored its development path and coping strategy in clinical promotion and standard application in future.It is purpose to provide theoretical references for clinical practice of precise and accurate radiotherapy for cervical cancer.

The detection of minimal residual lesions represented by circulating tumor DNA can detect residual cancer lesions that cannot be displayed by traditional imaging in advance. The positive status and dynamic changes are closely related to the prognosis evaluation of various solid tumors, the effectiveness of neoadjuvant therapy, the prediction of postoperative recurrence risk, and the precise implementation of adjuvant therapy. This article summarizes the advantages and challenges faced by the application of circulating tumor DNA testing in individualized multidisciplinary diagnosis and treatment of esophageal cancer, in order to better carry out precise diagnosis and treatment of esophageal cancer under the guidance of minimal residual lesion detection.

Objective:This study aims to develop a rapid identification technique for various genotypes of extended-spectrum β-lactamase (ESBL) producing Escherichia coli using matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) in conjunction with machine learning algorithms. Methods:A total of 158 Escherichia coli strains were isolated from the clinical laboratory of the First Hospital of Jilin University from August 2018 to December 2022. Polymerase chain reaction (PCR) was employed to detect the CTX-M-1, CTX-M-8, CTX-M-9, and SHV genes. Mass spectral data of the bacterial strains were acquired by MALDI-TOF MS with a cooperative matrix of (E)-propyl α-cyano-4-hydroxycinnamate (CHCA-C3). Models based on random forest (RF), logistic regression (LR), and support vector machine (SVM) algorithms were constructed. The performance of the constructed models was evaluated using metrics including accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC). Mass spectral peaks exhibiting sensitivity and specificity exceeding 80% in the models were designated as characteristic peaks. To validate the efficacy of the cooperative matrix of CHCA-C3, clinical isolates of ESBL-producing Escherichia coli were analyzed by MALDI-TOF MS using the conventional CHCA matrix for comparative purposes. Results:Among the 158 strains of Escherichia coli, 91 strains produced ESBL, all of which were CTX-M genotype. The AUC values for the respective models were as follows: CTX-M-1 genotype exhibited AUC values of 0.98 for LR, 1.00 for RF, and 0.73 for SVM; CTX-M-9 genotype exhibited AUC values of 0.93 for LR, 0.99 for RF, and 0.76 for SVM; for CTX-M-8, all models achieved an AUC of 1.00, indicating excellent classification performance with respect to accuracy, specificity, and sensitivity. The characteristic mass spectral peaks associated with each genotype included: CTX-M-1 genotype at m/z 6 390; CTX-M-8 genotype at m/z 5 224, m/z 5 393, and m/z 9 021; CTX-M-9 genotype at m/z 5 161 and m/z 5 273. In the MALDI-TOF MS analysis conducted with the conventional CHCA matrix, the characteristic peak at m/z 9 021 for CTX-M-8 was the only one detected, with the characteristic peaks for CTX-M-1 and CTX-M-9 remaining undetected. Conclusion:The application of cooperative matrix of CHCA-C3 in conjunction with MALDI-TOF MS and machine learning algorithms facilitates the rapid and precise identification of extended-spectrum β-lactamase (ESBL)-producing Escherichia coli. This approach offers a feasible solution for evidence-based clinical therapy and the control of healthcare-associated infections.

In the precision diagnosis and treatment of esophageal cancer, individualized stratification based on accurate preoperative clinical staging is crucial for formulating treatment strategies. The internationally widely used TNM staging system for esophageal cancer further divides T4-stage tumors into two subtypes according to the resectability of the primary tumor: cT4a (resectable) and cT4b (unresectable). However, in actual clinical practice, patients with borderline resectable esophageal cancer still face issues of unclear conceptual definitions and inaccurate staging, which may lead to biased treatment decisions. The Japan Esophageal Society has released the 12th Edition of Japanese Classification of Esophageal Cancer, which for the first time proposes the staging concepts of resectable cT3r and borderline resectable cT3br, along with corresponding imaging evaluation criteria, to guide the diagnosis of borderline resectable esophageal cancer. Improving the level of awareness regarding borderline resectable esophageal cancer, including clinical diagnosis and treatment planning, is crucial for further improving the prognosis of such patients. In the era of precision medicine, it is necessary to re-examine the diagnosis and treatment strategies for borderline resectable esophageal cancer. It is recommended to conduct multidisciplinary team discussions and adopt multidimensional preoperative examination methods to determine the accurate clinical stage of the tumor. While immunotherapy is developing rapidly, the value of radiotherapy in neoadjuvant therapy for borderline resectable esophageal cancer needs to be emphasized, which will provide an important tool for optimizing the comprehensive treatment model of borderline resectable esophageal cancer.

Objective:To investigate the treatment and prognosis of esophageal cancer patients with pulmonary resection history.Methods:The retrospective and descriptive study was conducted. The clinicopathological data of 58 esophageal cancer patients with pulmonary resection history who were admitted to Chest Hospital Affiliated to Shanghai Jiaotong University School of Medicine and Jiangxi Provincial People's Hospital from May 2019 to April 2024 were collected. There were 52 males and 6 females, aged (69±3)years. Observation indicators: (1) surgical and postopera-tive conditions; (2) postoperative pathological examination results; (3) follow-up; (4) stratified analysis. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of count data between groups was conducted using the chi-square test or Fisher exact probability. Comparison of ordinal data between groups was conducted using the non-parametric rank sum test. The Kaplan-Meier method was used to plot survival curve and calculate survival rate, and the Log-rank test was used for survival analysis. Results:(1) Surgical and postoperative conditions. Of the 58 esophageal cancer patients, 49 patients underwent transthoracic approach (26 cases of ipsilateral approach and 23 cases of contralateral approach of pulmonary resection history), and 9 patients underwent mediastinoscopic-laparoscopic approach. There were 57 cases with R 0 resection and 1 case with R 2 resection because of tumor invading carina. The total operation time of 58 patients was (246±27)minutes, and the volume of intraoperative blood loss was (114±29)mL. There was no unplanned reoperation or perioperative death for all patients. The duration of postoperative hospital stay of 58 patients was (10.4±4.6)days, and time for intensive care unit stay was (1.4±0.5)days, and no patient readmitted to intensive care unit due to changes in conditions. The postoperative total incidence of complications of 58 patients was 41.4%(24/58). The Clavien-Dindo grading of complications for all patients was 1-2 grade. (2) Postoperative pathological examination results. Results of postoperative pathological examination showed there were 51 cases of squamous cell carcinoma, 6 cases of adenocarcinoma, and 1 case of melanoma. Number of lymph node dissected of 58 patients was 27±6. The ratio of patient with positive lymph node was 37.9%(22/58). One patient may experience more than 1 region of positive lymph node metastasis. Results of postoperative pathological staging showed 5 cases of ⅠA stage, 2 cases of ⅠB stage, 13 cases of ⅡA stage, 15 cases of ⅡB stage, 4 cases of ⅢA stage, 16 cases of ⅢB stage, and 3 cases of ⅣA stage. Thirteen of the 58 patients underwent neoadjuvant therapy, with the pathological staging as 6 cases of Ⅰ stage, 4 cases of Ⅱ stage, 3 cases of ⅢB stage after therapy. Results of postoperative tumor regression grade for the 13 patients with neoadjuvant therapy showed 4 cases of grad 0, 3 cases of grade 1, 6 cases of grade 2. (3) Follow-up. All 58 patients were followed for 24 (4, 50)months, and no patient died within 90 days after surgery. During the follow-up period, 19 patients experienced tumor recurrence and metastasis and 17 patients died. Twenty-one patients underwent postoperative adjuvant therapy, including 7 cases with chemoradiotherapy, 7 cases with chemotherapy, 3 cases with chemotherapy and immunotherapy, 2 cases with immuno-therapy, 2 cases with radiotherapy. The postoperative 1-, 2-year overall survival rates of the 58 patients were 91.3%, 78.7%, respectively, of whom undergoing McKeown surgery and mediastinoscopic-laparoscopic surgery with postoperative 1-, 2-year overall survival rates as 89.2%, 83.1% and 85.7%, 53.6%, respectively. The postoperative 1-, 2-year esophageal cancer specific survival rates for patients undergoing McKeown surgery and mediastinoscopic-laparoscopic surgery were 94.4%, 87.9% and 85.7%, 71.4%, respectively. There was no significant difference in postoperative 1-, 2-year overall survival rates and postoperative 1-, 2-year esophageal cancer specific survival rates between patients undergoing McKeown surgery and mediastinoscopic-laparoscopic surgery ( P>0.05). (4) Stratified analysis. Of the 49 patients underwent transthoracic approach for esophageal cancer, there were significant differences in surgical method, surgical type, time of chest surgery, cases with upper mediastinal lymph node dissection, and duration of postoperative hospital stay between patients with pulmonary resection history as ipsilateral approach and contralateral approach ( χ2=11.74, 11.68, t=-2.25, χ2=8.45, t=-2.17, P<0.05), and there was no significant difference in total operation time, volume of intraoperative blood loss, the number of lymph node dissected, post-operative total complications, and postoperative pathological TNM staging ( P>0.05). For patients with pulmonary resection history as ipsilateral approach and contralateral approach, the postopera-tive 1-, 2-year esophageal cancer specific survival rates were 95.5%, 95.5% and 81.4%, 71.1%, showing a significant difference between them ( χ2=5.63, P<0.05). Conclusions:The transthoracic approach and mediastinoscopic-laparoscopic approach are safe and feasible for esophageal cancer patients with pulmonary resection history. Compared with patients with pulmonary resection history as contralateral approach, patients with pulmonary resection history as ipsilateral approach have a higher ratio of McKeown surgery, minimally invasive surgery and upper mediastinal lymph node dissection, shorter time of chest surgery and duration of postoperative hospital stay, better esophageal cancer specific survival rate. And there is no increase in perioperative risk.

Objective:To investigate the treatment and prognosis of esophageal cancer patients with pulmonary resection history.Methods:The retrospective and descriptive study was conducted. The clinicopathological data of 58 esophageal cancer patients with pulmonary resection history who were admitted to Chest Hospital Affiliated to Shanghai Jiaotong University School of Medicine and Jiangxi Provincial People's Hospital from May 2019 to April 2024 were collected. There were 52 males and 6 females, aged (69±3)years. Observation indicators: (1) surgical and postopera-tive conditions; (2) postoperative pathological examination results; (3) follow-up; (4) stratified analysis. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of count data between groups was conducted using the chi-square test or Fisher exact probability. Comparison of ordinal data between groups was conducted using the non-parametric rank sum test. The Kaplan-Meier method was used to plot survival curve and calculate survival rate, and the Log-rank test was used for survival analysis. Results:(1) Surgical and postoperative conditions. Of the 58 esophageal cancer patients, 49 patients underwent transthoracic approach (26 cases of ipsilateral approach and 23 cases of contralateral approach of pulmonary resection history), and 9 patients underwent mediastinoscopic-laparoscopic approach. There were 57 cases with R 0 resection and 1 case with R 2 resection because of tumor invading carina. The total operation time of 58 patients was (246±27)minutes, and the volume of intraoperative blood loss was (114±29)mL. There was no unplanned reoperation or perioperative death for all patients. The duration of postoperative hospital stay of 58 patients was (10.4±4.6)days, and time for intensive care unit stay was (1.4±0.5)days, and no patient readmitted to intensive care unit due to changes in conditions. The postoperative total incidence of complications of 58 patients was 41.4%(24/58). The Clavien-Dindo grading of complications for all patients was 1-2 grade. (2) Postoperative pathological examination results. Results of postoperative pathological examination showed there were 51 cases of squamous cell carcinoma, 6 cases of adenocarcinoma, and 1 case of melanoma. Number of lymph node dissected of 58 patients was 27±6. The ratio of patient with positive lymph node was 37.9%(22/58). One patient may experience more than 1 region of positive lymph node metastasis. Results of postoperative pathological staging showed 5 cases of ⅠA stage, 2 cases of ⅠB stage, 13 cases of ⅡA stage, 15 cases of ⅡB stage, 4 cases of ⅢA stage, 16 cases of ⅢB stage, and 3 cases of ⅣA stage. Thirteen of the 58 patients underwent neoadjuvant therapy, with the pathological staging as 6 cases of Ⅰ stage, 4 cases of Ⅱ stage, 3 cases of ⅢB stage after therapy. Results of postoperative tumor regression grade for the 13 patients with neoadjuvant therapy showed 4 cases of grad 0, 3 cases of grade 1, 6 cases of grade 2. (3) Follow-up. All 58 patients were followed for 24 (4, 50)months, and no patient died within 90 days after surgery. During the follow-up period, 19 patients experienced tumor recurrence and metastasis and 17 patients died. Twenty-one patients underwent postoperative adjuvant therapy, including 7 cases with chemoradiotherapy, 7 cases with chemotherapy, 3 cases with chemotherapy and immunotherapy, 2 cases with immuno-therapy, 2 cases with radiotherapy. The postoperative 1-, 2-year overall survival rates of the 58 patients were 91.3%, 78.7%, respectively, of whom undergoing McKeown surgery and mediastinoscopic-laparoscopic surgery with postoperative 1-, 2-year overall survival rates as 89.2%, 83.1% and 85.7%, 53.6%, respectively. The postoperative 1-, 2-year esophageal cancer specific survival rates for patients undergoing McKeown surgery and mediastinoscopic-laparoscopic surgery were 94.4%, 87.9% and 85.7%, 71.4%, respectively. There was no significant difference in postoperative 1-, 2-year overall survival rates and postoperative 1-, 2-year esophageal cancer specific survival rates between patients undergoing McKeown surgery and mediastinoscopic-laparoscopic surgery ( P>0.05). (4) Stratified analysis. Of the 49 patients underwent transthoracic approach for esophageal cancer, there were significant differences in surgical method, surgical type, time of chest surgery, cases with upper mediastinal lymph node dissection, and duration of postoperative hospital stay between patients with pulmonary resection history as ipsilateral approach and contralateral approach ( χ2=11.74, 11.68, t=-2.25, χ2=8.45, t=-2.17, P<0.05), and there was no significant difference in total operation time, volume of intraoperative blood loss, the number of lymph node dissected, post-operative total complications, and postoperative pathological TNM staging ( P>0.05). For patients with pulmonary resection history as ipsilateral approach and contralateral approach, the postopera-tive 1-, 2-year esophageal cancer specific survival rates were 95.5%, 95.5% and 81.4%, 71.1%, showing a significant difference between them ( χ2=5.63, P<0.05). Conclusions:The transthoracic approach and mediastinoscopic-laparoscopic approach are safe and feasible for esophageal cancer patients with pulmonary resection history. Compared with patients with pulmonary resection history as contralateral approach, patients with pulmonary resection history as ipsilateral approach have a higher ratio of McKeown surgery, minimally invasive surgery and upper mediastinal lymph node dissection, shorter time of chest surgery and duration of postoperative hospital stay, better esophageal cancer specific survival rate. And there is no increase in perioperative risk.

Radiotherapy is main method in treating cervical cancer,and the rapid advancement of artificial intelligence(AI)technique is providing entirely new solutions for radiotherapy for cervical cancer.The AI means that is represented by deep learning is deeply integrating into the whole process of diagnosis,treatment and management for cervical cancer,which can promote intelligent and precise development of radiotherapy workflows.Currently,the applied cores of AI in radiotherapy for cervical cancer include image registration,target delineation,optimization of radiotherapy planning and risk assessment,which can significantly enhance efficiency and precision of treatment.But,AI is facing some challenges in clinical applications include data quality,and algorithm's robustness and interpretability at the same time.Depended on the above analyses,this paper systematically reviewed the frontier applications and progress in practice of AI in radiotherapy for cervical cancer,which especially analyzed technical advantages and limitations of AI in key link,and explored its development path and coping strategy in clinical promotion and standard application in future.It is purpose to provide theoretical references for clinical practice of precise and accurate radiotherapy for cervical cancer.

Objective:This study aims to develop a rapid identification technique for various genotypes of extended-spectrum β-lactamase (ESBL) producing Escherichia coli using matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) in conjunction with machine learning algorithms. Methods:A total of 158 Escherichia coli strains were isolated from the clinical laboratory of the First Hospital of Jilin University from August 2018 to December 2022. Polymerase chain reaction (PCR) was employed to detect the CTX-M-1, CTX-M-8, CTX-M-9, and SHV genes. Mass spectral data of the bacterial strains were acquired by MALDI-TOF MS with a cooperative matrix of (E)-propyl α-cyano-4-hydroxycinnamate (CHCA-C3). Models based on random forest (RF), logistic regression (LR), and support vector machine (SVM) algorithms were constructed. The performance of the constructed models was evaluated using metrics including accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC). Mass spectral peaks exhibiting sensitivity and specificity exceeding 80% in the models were designated as characteristic peaks. To validate the efficacy of the cooperative matrix of CHCA-C3, clinical isolates of ESBL-producing Escherichia coli were analyzed by MALDI-TOF MS using the conventional CHCA matrix for comparative purposes. Results:Among the 158 strains of Escherichia coli, 91 strains produced ESBL, all of which were CTX-M genotype. The AUC values for the respective models were as follows: CTX-M-1 genotype exhibited AUC values of 0.98 for LR, 1.00 for RF, and 0.73 for SVM; CTX-M-9 genotype exhibited AUC values of 0.93 for LR, 0.99 for RF, and 0.76 for SVM; for CTX-M-8, all models achieved an AUC of 1.00, indicating excellent classification performance with respect to accuracy, specificity, and sensitivity. The characteristic mass spectral peaks associated with each genotype included: CTX-M-1 genotype at m/z 6 390; CTX-M-8 genotype at m/z 5 224, m/z 5 393, and m/z 9 021; CTX-M-9 genotype at m/z 5 161 and m/z 5 273. In the MALDI-TOF MS analysis conducted with the conventional CHCA matrix, the characteristic peak at m/z 9 021 for CTX-M-8 was the only one detected, with the characteristic peaks for CTX-M-1 and CTX-M-9 remaining undetected. Conclusion:The application of cooperative matrix of CHCA-C3 in conjunction with MALDI-TOF MS and machine learning algorithms facilitates the rapid and precise identification of extended-spectrum β-lactamase (ESBL)-producing Escherichia coli. This approach offers a feasible solution for evidence-based clinical therapy and the control of healthcare-associated infections.

The detection of minimal residual lesions represented by circulating tumor DNA can detect residual cancer lesions that cannot be displayed by traditional imaging in advance. The positive status and dynamic changes are closely related to the prognosis evaluation of various solid tumors, the effectiveness of neoadjuvant therapy, the prediction of postoperative recurrence risk, and the precise implementation of adjuvant therapy. This article summarizes the advantages and challenges faced by the application of circulating tumor DNA testing in individualized multidisciplinary diagnosis and treatment of esophageal cancer, in order to better carry out precise diagnosis and treatment of esophageal cancer under the guidance of minimal residual lesion detection.

In the precision diagnosis and treatment of esophageal cancer, individualized stratification based on accurate preoperative clinical staging is crucial for formulating treatment strategies. The internationally widely used TNM staging system for esophageal cancer further divides T4-stage tumors into two subtypes according to the resectability of the primary tumor: cT4a (resectable) and cT4b (unresectable). However, in actual clinical practice, patients with borderline resectable esophageal cancer still face issues of unclear conceptual definitions and inaccurate staging, which may lead to biased treatment decisions. The Japan Esophageal Society has released the 12th Edition of Japanese Classification of Esophageal Cancer, which for the first time proposes the staging concepts of resectable cT3r and borderline resectable cT3br, along with corresponding imaging evaluation criteria, to guide the diagnosis of borderline resectable esophageal cancer. Improving the level of awareness regarding borderline resectable esophageal cancer, including clinical diagnosis and treatment planning, is crucial for further improving the prognosis of such patients. In the era of precision medicine, it is necessary to re-examine the diagnosis and treatment strategies for borderline resectable esophageal cancer. It is recommended to conduct multidisciplinary team discussions and adopt multidimensional preoperative examination methods to determine the accurate clinical stage of the tumor. While immunotherapy is developing rapidly, the value of radiotherapy in neoadjuvant therapy for borderline resectable esophageal cancer needs to be emphasized, which will provide an important tool for optimizing the comprehensive treatment model of borderline resectable esophageal cancer.