Deep learning-based solid component measuring enabled interpretable prediction of tumor invasiveness for lung adenocarcinoma.

BACKGROUND: The nature of the solid component of subsolid nodules (SSNs) can indicate tumor pathological invasiveness. However, preoperative solid component assessment still lacks a reference standard. METHODS: In this retrospective study, an AI algorithm was proposed for measuring the solid components ratio in SSNs, which was used to assess the diameter ratio (1D), area ratio (2D), and volume ratio (3D). The radiologist measured each SSN's consolidation to tumor ratio (CTR) twice, four weeks apart. The area under the receiver-operating characteristic (ROC) curve (AUC) was calculated for each method used to discriminate an Invasive Adenocarcinoma (IA) from a non-IA. The AUC and the time cost of each measurement were compared. Furthermore, we examined the consistency of measurements made by the radiologist on two separate occasions. RESULTS: A total of 379 patients (the primary dataset n = 278, the validation dataset n = 101) were included. In the primary dataset, compared to the manual approach (AUC: 0.697), the AI algorithm (AUC: 0.811) had better predictive performance (P =.0027) in measuring solid components ratio in 3D. Algorithm measurement in 3D had an AUC no inferior to 1D (AUC: 0.806) and 2D (AUC: 0.796). In the validation dataset, the AI 3D method also achieved superior diagnostic performance compared to the radiologist (AUC: 0.803 vs 0.682, P =.046). The two measurements of the CTR in the primary dataset, taken 4 weeks apart, have 7.9 % cases in poor consistency. The measurement time cost by the radiologist is about 60 times that of the AI algorithm (P <.001). CONCLUSION: The 3D measurement of solid components using AI, is an effective and objective approach to predict the pathological invasiveness of SSNs. It can be a preoperative interpretable indicator of pathological invasiveness in patients with lung adenocarcinoma.

Survival Outcomes of Sublobectomy and Lobectomy in Elderly Patients with Peripheral Solid-Dominant Non-small Cell Lung Cancer.

BACKGROUND: According to the JCOG0802 study, there were many non-cancer-related deaths in the lobectomy group. Meanwhile, the median age of the enrolled patients in the JCOG0802 study was 67 years old. Whether this difference in perioperative outcomes and survival outcomes is related to age remains unknown. We aim to investigate whether the sublobectomy was comparable to lobectomy in elderly (≥ 75 years old) patients with peripheral solid-dominant [50% ≤ consolidation tumor ratio (CTR) ≤ 1] and diameter ≤ 2 cm non-small cell lung cancer (NSCLC). METHODS: We retrospectively included 10,830 patients who underwent surgery treatment at two large-volume medical centers, Taizhou Hospital of Zhejiang Province and Shanghai Chest Hospital, from January 2016 to January 2018. Of these, 164 patients aged ≥ 75 years, tumor ≤ 2 cm, and 50% ≤ CTR ≤ 1 who received lobectomy or sublobectomy were included in our study. The perioperative outcomes, survival analyses, analysis of death patterns, tumor recurrence patterns, and Cox regression analyses were performed. RESULTS: On perioperative outcomes, sublobectomy was associated with a shorter operation time (p < 0.001), and in terms of survival outcomes, the 5-year overall survival (OS, p = 0.85) and 5-year disease-free surivial (DFS, p = 0.58) did not differ significantly between the two groups. The Cox regression analyses showed that CTR value, visceral pleural infiltration, and smoking were independent risk factors for worse OS. Furthermore, tumor recurrence pattern and death patterns between the two groups did not differ significantly. CONCLUSIONS: Sublobectomy could achieve superior perioperative outcomes and equivalent oncological efficacy in comparison with lobectomy in elderly patients (≥ 75 years old) with peripheral solid-dominant and diameter ≤ 2 cm NSCLC.

Dynamic Changes in Lung Function and Imaging in Patients with COVID-19.

Purpose: To investigate the recovery of lung function and chest imaging in patients with COVID-19 three months after clinical cure and discharge and the correlation between them. Methods: This study collected 80 patients diagnosed with 2019-nCoV infection who were discharged from the Taizhou Public Health Medical Center in Zhejiang Province between January 31, 2020, and March 10, 2020. Lung function examinations and lung CT scans were performed at discharge and three months after discharge. The dynamic changes examined at discharge and three months after discharge were observed, and their correlation was analyzed. All data collection ended on June 25, 2020. Results: Among the 80 COVID-19 patients discharged from the hospital, the rate of abnormality indicated by lung CT images was 97.5%, mainly presenting as patchy shadows (95%), ground-glass shadows (75%), grid-like lesions, interlobular septal thickening or fiber strip shadows (30%), consolidation shadows, and nodules (10 cases each). At discharge, 72 patients (90%) had pulmonary dysfunction, 64 (80%) had restrictive ventilatory dysfunction, and 48 (60%) had small airway dysfunction. Three months after discharge, the rate of abnormality indicated by lung CT images was 12.5%. Eight cases (10%) showed residual patchy shadows, but the density was weak, and the scope was reduced. Two cases (2.5%) showed nodular shadows. Three months after discharge, 18 patients (22.5%) had residual restrictive ventilatory dysfunction, 28 patients (35%) had small airway dysfunction, and 32 patients (40%) had diffuse dysfunction. Moreover, patients with more severe chest imaging manifestations (bilateral lesions and ground-glass shadows combined with interstitial lesions) also had more obvious lung function impairment. Conclusion: Three months after being clinically cured, patients with COVID-19 had good chest imaging absorption and no residual fibrosis. Some patients had mild to moderate pulmonary dysfunction, mainly restricted ventilation dysfunction, small airway dysfunction, and diffuse dysfunction.

Relevant analyses of pathogenic bacteria and inflammatory factors in neonatal purulent meningitis.

Pathogenic bacteria and inflammatory factors in neonatal purulent meningitis (PM) were investigated to explore the diagnostic value of inflammatory factors in PM, to clarify the etiology, and to provide evidence for rational clinical treatment. Seventy-four neonates who were diagnosed with PM and were bacteriogically positive in Daqing Longnan Hospital from January 2012 to December 2015 were retrospectively analyzed and used as observation group. Another 74 neonates simultaneously hospitalized with non-PM factors were selected as control group. The levels of C-reactive protein (CRP) and ß 2 microglobulin (ß2MG) in cerebrospinal fluid in pediatric patients were measured, and the separation culture and identification of pathogenic bacteria were carried out at the same time. The results showed that i) neonatal PM often lacked specific clinical manifestations; ii) high risk factors of neonatal PM included gestational age, body weight <2,500 g, neonatal asphyxia, premature rupture of membranes, and umbilical or pulmonary infection; iii) the levels of CRP and ß2MG in the cerebrospinal fluid in the neonatal PM group were significantly higher than those in the control group (P<0.05), and the neonatal PM group had obviously decreased levels of CRP and ß2MG in the cerebrospinal fluid after treatment compared with those before treatment (P<0.05); iv) the positive rate of Gram-negative bacilli (G-bacilli) showed an increasing trend year by year in the past 4 years. Seventy-four strains of bacteria were isolated from the cerebrospinal fluid in neonatal PM group, including 45 strains of Gram-positive cocci (G+cocci, accounting for 60.81%) and 29 strains of G-bacilli (accounting for 39.19%). Among them, the top three were Escherichia coli, coagulase-negative staphylococci (CNS) and Streptococcus. These findings indicated that for suspected PM pediatric patients with high risk factors, the inflammatory factors in cerebrospinal fluid and the etiology should be investigated via lumbar puncture as early as possible to confirm the diagnosis. Pathogenic bacteria of meningitis mainly are Escherichia coli, CNS and Streptococcus, and the characteristics of pathogenic bacteria should be considered during experiential medication. The incidence rate of PM due to Streptococcus has an upward tendency and great damage, needing to arouse high attention in clinic.

Transcriptome analysis of Cd-treated switchgrass root revealed novel transcripts and the importance of HSF/HSP network in switchgrass Cd tolerance.

KEY MESSAGE: Transcriptome analysis of Cd-treated switchgrass roots not only revealed novel switchgrass transcripts and gene structures but also highlighted the indispensable role of HSF/HSP network in switchgrass Cd tolerance. Switchgrass (Panicum virgatum L.), a C4 perennial tall grass, can be used for revegetation of Cd-contaminated soil. In the present study, a comparative transcriptome analysis of Cd-treated switchgrass roots was conducted. The result revealed a total of 462 novel transcripts and refined gene structures of 2337 transcripts. KEGG pathway and Gene Ontology analyses of the differentially expressed genes (DEGs) suggested that activation of redox homeostasis and oxidation-related metabolic processes were the primary response to Cd stress in switchgrass roots. In particular, 21 out of 23 differentially expressed shock transcription factor genes (HSFs), and 22 out of 23 differentially expressed heat shock protein genes (HSPs) had increased expression levels after Cd treatment. Furthermore, over-expressing one HSP-encoding gene in Arabidopsis significantly improved plant Cd tolerance. The result highlighted the activation of the redox homeostasis and the involvement of the HSF/HSP network in re-establishing normal protein conformation and thus cellular homeostasis in switchgrass upon Cd stress. These DEGs, especially those of the HSF/HSP network, could be used as candidate genes for further functional studies toward improved plant Cd tolerance in switchgrass and related species.