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@#Objective To investigate the prognostic survival status and influence factors for surgical treatment of esophageal squamous cell carcinoma (ESCC) in pathological stage T1b (pT1b). Methods The patients with ESCC in pT1b undergoing Ivor-Lewis or McKeown esophagectomy in Lanzhou University Second Hospital from 2012 to 2015 were collected, including 78 males (78.3%) and 17 females (21.7%) with an average age of 61.4±7.4 years. Results The most common postoperative complications were pneumonia (15.8%), anastomotic leakage (12.6%) and arrhythmia (8.4%). Ninety-three (97.9%) patients underwent R0 resection, with an average number of lymph node dissections of 14.4±5.6. The rate of lymph node metastasis was 22.1%, and the incidence of lymph vessel invasion was 13.7%. The median follow-up time was 60.4 months, during which 25 patients died and 27 patients relapsed. The overall survival rate at 3 years was 86.3%, and at 5 years was 72.7%. Multivariate Cox regression analysis showed that lymph node metastasis (P=0.012, HR=2.60, 95%CI 1.23-5.50) and lympovascular invasion (P=0.014, HR=2.73, 95%CI 1.22-6.09) were independent risk factors for overall survival of pT1b ESCC. Conclusion Esophagectomy via right chest approach combined with two-fields lymphadenectomy is safe and feasible for patients with pT1b ESCC. The progress of pT1b ESCC with lymph node metastasis or lymphovascular invasion is relatively poor.
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Objective:To evaluate the efficacy of artificial intelligence assisted pulmonary nodule diagnosis system in detection pulmonary nodule and predicting the malignant probability of pulmonary nodule.Methods:A retrospectively analyze the clinical data of 199 patients with lung nodules in the Thoracic Surgery Department of Lanzhou University Second Hospital from May 2016 to July 2020. The preoperative chest CT was imported into the artificial intelligence system to record the detected lung nodules, to measure nodal diameter and density classification and malignant probability prediction value of each nodule. The detection rate of pulmonary nodules by artificial intelligence system was calculated, and the sensitivity, specificity, positive likelihood ratio and negative likelihood ratio of artificial intelligence system in the differential diagnosis of benign and malignant pulmonary nodules were calculated and compared with manual film reading. and the sensitivity and specificity in the differential diagnosis of benign and malignant pulmonary nodules under the condition of different size and density of pulmonary nodules.Results:A total of 204 pulmonary nodules were pathologically diagnosed by surgical resection, and the detection rate of pulmonary nodules by artificial intelligence system was 100%. The artificial intelligence system can distinguish benign and malignant pulmonary nodules with a sensitivity of 95.83%(95% CI: 0.8967-0.9883), specificity 25.00%(95% CI: 0.1717-0.3425), and a positive likelihood ratio of 1.27(95% CI: 1.14-1.44), negative likelihood ratio 0.17(95% CI: 0.06-0.46), Manual reading for the differentiation of benign and malignant pulmonary nodules has a sensitivity of 87.36%(95% CI: 0.7850-0.9352), specificity 72.17%(95% CI: 0.6214-0.8079), and a positive likelihood ratio of 3.14(95% CI: 2.26-4.37), the negative likelihood ratio is 0.18(95% CI: 0.10-0.31). 5mm≤diameter of pulmonary nodule<10 mm, sensitivity 100%(95% CI: 0.6637-1.0000), specificity 50.00%(95% CI: 0.01258-0.98740), 10 mm≤diameter of pulmonary nodule <20 mm, sensitivity 94.29%(95% CI: 0.8084-0.9930), specificity 29.83%(95% CI: 0.1843-0.4340), 20 mm≤ diameter of pulmonary nodule ≤30 mm, sensitivity 96.15%(95% CI: 0.8679-0.9953), specificity 18.37%(95% CI: 0.0876-0.9953), sensitivity of subsolid lung nodules: 100%(95% CI: 0.9051-1.0000), specificity 20.00%(95% CI: 0.0051-0.7164), solid lung nodule sensitivity 93.22%(95% CI: 0.8354-0.9812), specificity 25.24%(95% CI: 0.1720-0.3476). Conclusion:The artificial intelligence assistant diagnosis system of pulmonary nodules has a strong performance in the detection of pulmonary nodules, but it can not meet the clinical requirements in the differentiation of benign and malignant pulmonary nodules. At present, the artificial intelligence system can be used as an auxiliary tool for doctors to detect pulmonary nodules and assist in the diagnosis of benign and malignant pulmonary nodules.
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Objective:To evaluate the effect of postoperative adjuvant therapy on patients with locally advanced pathologic T3N0M0 (pT3N0M0)esophageal squamous cell carcinoma(ESCC).Methods:In this retrospective study,we evaluated patients who underwent esophagectomy at Lanzhou University Second Hospital.Patients were divided into 4 groups:surgery-alone(S),surgery+radiotherapy group(S+RT),surgery+chemotherapy(S+CT),and surgery+chemoradiotherapy(S+CRT)groups.Both the clinicopathologic informa-tion and the long-term follow-up results were analyzed.Results:From January 2010 to April 2014,a total of 177 patients with a medi-an age of 61 years(range 43-78),were enrolled into the study.Among them,79 received surgery alone;the remaining 98 patients re-ceived adjuvant therapy,of whom 28 patients received adjuvant radiotherapy,38 received adjuvant chemotherapy,and 32 received ad-juvant chemoradiotherapy.Overall survival and disease-free survival were better in Group S+Adjuvant than in Group S(P=0.012,P=0.007,respectively).Comparisons among the four groups showed that the overall survival was higher in Group S+CRT than in Group S (P=0.031).Group S+RT was associated with better overall survival and disease-free survival than Group S(P=0.038,P=0.011,respec-tively).Conclusions:Patients with pT3N0M0 ESCC could benefit from adjuvant radiotherapy and chemoradiotherapy,as radiotherapy could help achieve better locoregional control.
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Objective To study the relativity between imageology and pathology during lung cancer,and estimate whether the lung cancer is preinvasive lesions,which can support evidences for the operation methods.Methods Clinical data of 624 patients who were diagnosed as lung adenocarcinoma and had solitary pulmonary nodule(diameter≤3 cm) were collected,all of them were scanned by thin layer CT scan(1 mm).The correlation between imageology and pathology data were analyzed.Results In 125 cases of GGO,the ratio of invasive lesions were 0 (0/72),6.1％ (3/49) and 100％ (4/4) in stage T1a,T1b and T1c respectively.In 285 cases of mGGO,if solid component was less than 0.5 cm,the ratio of invasive lesions were 1.7％ (1/58),6.9％ (2/29) and 50.0％ (2/4) in stage T~,T1b and Tic;but the ratio of invasive lesions were 81.3％ (13/16),94.1％ (96/102) and 97.4％ (74/76) respectively when the solid component was more than 0.5 cm.In 214 cases with solid nodules,the ratio of invasive lesions were 87.1％ (27/31),98.8％ (84/85) and 99.0％ (97/98) in stage T1 a,T1b and T1c.Conclusion The ratio of invasive lesions and solid component increased gradually along with the growing of tumor diameter in stage T1 lung cancer.CT imaging was highly correlated with the pathology diagnosis of preinvasive lesions and invasive lesions,which can be used as the guidance for operation methods.
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Objective To study the relativity between imageology and pathology during lung cancer,and estimate whether the lung cancer is preinvasive lesions,which can support evidences for the operation methods.Methods Clinical data of 624 patients who were diagnosed as lung adenocarcinoma and had solitary pulmonary nodule(diameter≤3 cm) were collected,all of them were scanned by thin layer CT scan(1 mm).The correlation between imageology and pathology data were analyzed.Results In 125 cases of GGO,the ratio of invasive lesions were 0 (0/72),6.1％ (3/49) and 100％ (4/4) in stage T1a,T1b and T1c respectively.In 285 cases of mGGO,if solid component was less than 0.5 cm,the ratio of invasive lesions were 1.7％ (1/58),6.9％ (2/29) and 50.0％ (2/4) in stage T~,T1b and Tic;but the ratio of invasive lesions were 81.3％ (13/16),94.1％ (96/102) and 97.4％ (74/76) respectively when the solid component was more than 0.5 cm.In 214 cases with solid nodules,the ratio of invasive lesions were 87.1％ (27/31),98.8％ (84/85) and 99.0％ (97/98) in stage T1 a,T1b and T1c.Conclusion The ratio of invasive lesions and solid component increased gradually along with the growing of tumor diameter in stage T1 lung cancer.CT imaging was highly correlated with the pathology diagnosis of preinvasive lesions and invasive lesions,which can be used as the guidance for operation methods.