Objectives To investigate the value of radiomics based on CT imaging in predicting invasive adenocarcinoma manifesting as pure ground-glass nodules (pGGNs). Methods This study enrolled 395 pGGNs with histopathology-confirmed benign nodules or adenocarcinoma. A total of 396 radiomic features were extracted from each labeled nodule. A Rad-score was constructed with the least absolute shrinkage and selection operator (LASSO) in the training set. Multivariate logistic regression analysis was conducted to establish the radiographic model and the combined radiographic-radiomics model. The predictive performance was validated by receiver operating characteristic (ROC) curve. Based on the multivariate logistic regression analysis, an individual prediction nomogram was developed and the clinical utility was assessed. Results Five radiomic features and four radiographic features were selected for predicting the invasive lesions. The combined radiographic-radiomics model (AUC 0.77; 95% CI, 0.69-0.86) performed better than the radiographic model (AUC 0.71; 95% CI, 0.62-0.81) and Rad-score (AUC 0.72; 95% CI, 0.63-0.81) in the validation set. The clinical utility of the individualized prediction nomogram developed using the Rad-score, margin, spiculation, and size was confirmed in the validation set. The decision curve analysis (DCA) indicated that using a model with Rad-score to predict the invasive lesion would be more beneficial than that without Rad-score and the clinical model. Conclusions The proposed radiomics-based nomogram that incorporated the Rad-score, margin, spiculation, and size may be utilized as a noninvasive biomarker for the assessment of invasive prediction in patients with pGGNs. Key Points • CT-based radiomics analysis helps invasive prediction manifested as pGGNs. • The combined radiographic-radiomics model may be utilized as a noninvasive biomarker for predicting invasive lesion for pGGNs. • Radiomics-based individual nomogram may serve as a vital decision support tool to identify invasive pGGNs, obviating further workup and blind follow-up.

Four achiral two-dimensional (2D) coordination polymers of [M(HIDC)(H 2 O)(prz) 0.5 ] n (M ) Fe, 1; Mn, 2; Cd, 3) and [Co(HIDC)(H 2 O)(pyz) 0.5 ] n (4), one chiral 2D coordination polymer of [Mn(HIDC)(H 2 O)] n (5), and one 2D coordination polymer of [Fe(HIDC)(H 2 O)] n (6) (H 3 IDC ) imidazole-4,5-dicarboxylic acid, prz ) piperazine, pyz ) pyrazine) were hydrothermally synthesized and characterized by single-crystal X-ray diffraction. In 1-3, the HIDC 2anions alternately bridge the M(II) cations to form a one-dimensional (1D) infinite helical chain of [M(HIDC)] ∞ along the 2 1 axis. The chirality of the original formed helical chain is transferred oppositely to neighboring helical chains through the parallel coordination interactions of prz molecules between two adjacent chains, resulting in an achiral 2D sheet of [M(HIDC)(H 2 O)(prz) 0.5 ] n , in which the helical chains are packed in an alternating left-and right-handed chirality. A similar achiral 2D coordination polymer of 4 was obtained when pyz was used as a linker. Compound 5 crystallizes in a chiral space group P2 1 . In 5, the HIDC 2anions also alternately bridge the Mn(II) to form a 1D right-handed helical chain of [MnHIDC] ∞ along the 2 1 axis, and the right-handed chirality of [MnHIDC] ∞ is transferred to neighboring helical chains through the zigzag interchain coordination interactions, leading to the formation of a homochiral 2D sheet, in which all the helical chains are packed in right-handed chirality. In addition, the bulk crystallization of 5 is enantiomeric excess rather than racemic, as evidenced by the results of solid-state vibrational circular dichroism (VCD) and CD spectroscopy. In the 2D structure of 6, the HIDC 2anions alternately bridge the Fe(II) to form a 1D zigzag chain of [FeHIDC] ∞ instead of a 1D helical chain, in which all the HIDC 2anions locate on the same side within the chain. Compound 3 displays strong blue fluorescent emission at room temperature. Magnetic susceptibility measurements of 2 and 5 exhibit antiferromagnetic interactions between the nearest Mn(II) within the sheet, with J ) -0.48 cm -1 , g ) 2.10 for 2, and J ) -0.51 cm -1 , g ) 2.03 for 5.

Up to 50% of Asian patients with NSCLC have EGFR gene mutations, indicating that selecting eligible patients for EGFR-TKIs treatments is clinically important. The aim of the study is to develop and validate radiomics-based nomograms, integrating radiomics, CT features and clinical characteristics, to non-invasively predict EGFR mutation status and subtypes. Materials and Methods: We included 637 patients with lung adenocarcinomas, who performed the EGFR mutations analysis in the current study. The whole dataset was randomly split into a training dataset (n = 322) and validation dataset (n = 315). A sub-dataset of EGFR-mutant lesions (EGFR mutation in exon 19 and in exon 21) was used to explore the capability of radiomic features for predicting EGFR mutation subtypes. Four hundred seventy-five radiomic features were extracted and a radiomics sore (R-score) was constructed by using the least absolute shrinkage and selection operator (LASSO) regression in the training dataset. A radiomics-based nomogram, incorporating clinical characteristics, CT features and R-score was developed in the training dataset and evaluated in the validation dataset. Results: The constructed R-scores achieved promising performance on predicting EGFR mutation status and subtypes, with AUCs of 0.694 and 0.708 in two validation datasets, respectively. Moreover, the constructed radiomics-based nomograms excelled the R-scores, clinical, CT features alone in terms of predicting EGFR mutation status and subtypes, with AUCs of 0.734 and 0.757 in two validation datasets, respectively. Conclusions: Radiomics-based nomogram, incorporating clinical characteristics, CT features and radiomic features, can non-invasively and efficiently predict the EGFR mutation status and thus potentially fulfill the ultimate purpose of precision medicine. The methodology is a possible promising strategy to predict EGFR mutation subtypes, providing the support of clinical treatment scenario.

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Copper nanowire (Cu NW) films have been widely studied due to their potential applications in optoelectronic devices, but there are rare reports of high-performance NW films without nanoparticles (NPs). In this paper, a waterhydrophobic organic solvent system was used to efficiently separate NPs from NWs. As a result, the transmittance of the purified Cu NW/PET films improved approximately 3% compared with the unpurified Cu NW/PET films at a given sheet resistance. And the high-quality Cu NW/PET films have a transmittance of 97.61% at 102.9 Ω sq −1 . A detailed mechanism of purification is also proposed. This facile purification method is highly efficient and widely applicable to improve the performance of flexible transparent conductive films, which will meet the need of commercial applications of NW films with excellent optoelectronic performance.

Reaction of (AuC≡CbpyC≡CAu)(n) (HC≡CbpyC≡CH = 5,5'-diethynyl-2,2'-bipyridine) with diphosphine ligands Ph(2)P(CH(2))(n)PPh(2) (n = 1 dppm, 3 dppp, 5 dpppen, 6 dpph), 1,1'-bis(diphenylphosphino)ferrocene (dppf), and 1,2-bis(diphenylphosphino)benzene (bdpp) in CH(2)Cl(2) afforded the corresponding dual luminescent gold(I) complexes [(AuC≡CbpyC≡CAu)(2)(μ-dppm)(2)] (1), [(AuC≡CbpyC≡CAu)(2)(μ-dppp)(2)] (2), [(AuC≡CbpyC≡CAu)(2)(μ-dpppen)(2)] (3), [(AuC≡CbpyC≡CAu)(2)(μ-dpph)(2)] (4), [(AuC≡CbpyC≡CAu)(2)(μ-dppf)(2)] (5), and [(AuC≡CbpyC≡CAu)(2)(μ-bdpp)(2)] (6). The solid structures of complexes 1 and 2 are confirmed to be tetranuclear macrocyclic rings by single crystal structure analysis, and those of complexes 3-6 are proposed to be similar to those of complexes 1 and 2 in structure because their good solubility in CH(2)Cl(2), their HRMS results, and the P···P separations of 20.405-20.697 Å in the same linear rigid P-Au-C≡CbpyC≡C-Au-P unit are all favorable to form such 2:4:2 macrocycles. Each of the absorption spectral titrations between complexes 1-6 and Yb(hfac)(3)(H(2)O)(2) (Hhfac = hexafluoroacetylacetone) gives a 2:1 ratio between the Yb(hfac)(3) unit and the complex 1-6 moieties. The energy transfer occurs efficiently from the gold(I) alkynyl antennas 1-6 to Yb(III) centers with the donor ability in the order of 1 ~ 2 ~ 3 ~ 4 > 6 > 5.

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Controversy and challenges remain regarding the cognition of lung adenocarcinomas presented as subcentimeter ground glass nodules (GGNs). Postoperative lymphatic involvement or intrapulmonary metastasis is found in approximately 15% to 20% of these cases. This study aimed to develop and validate a radiomics signature to identify the invasiveness of lung adenocarcinoma appearing as subcentimeter ground glass nodules. We retrospectively enrolled 318 subcentimeter GGNs with histopathology-confirmed adenocarcinomas in situ (AIS), minimally invasive adenocarcinomas (MIA) and invasive adenocarcinomas (IAC). The radiomics features were extracted from manual segmentation based on contrast-enhanced CT (CECT) and non-contrast enhanced CT (NCECT) images after imaging preprocessing. The Lasso algorithm was applied to construct radiomics signatures. The predictive performance of radiomics models was evaluated by receiver operating characteristic (ROC) analysis. A radiographic-radiomics combined nomogram was developed to evaluate its clinical utility. The radiomics signature on CECT (AUC: 0.896 [95% CI 0.815–0.977]) performed better than the radiomics signature on NCECT data (AUC: 0.851[95% CI 0.712–0.989]) in the validation set. An individualized prediction nomogram was developed using radiomics model on CECT and radiographic model including type, shape and vascular change. The C index of the nomogram was 0.915 in the training set and 0.881 in the validation set, demonstrating good discrimination. Decision curve analysis (DCA) revealed that the proposed model was clinically useful. The radiomics signature built on CECT could provide additional benefit to promote the preoperative prediction of invasiveness in patients with subcentimeter lung adenocarcinomas.