ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

OBJECTIVE: To assess changes of nutritional status by comprehensive nutrition assessment including nutritional risk screening, dietary assessment, blood biochemical index, and body composition in acute leukemia patients who had undergone chemotherapy. METHODS: A total of 169 patients with acute leukemia treated at The First Affiliated Hospital of Soochow University from June 2018 to August 2019 were recruited for this study. Before and after chemotherapy, the NRS-2002 and PG-SGA scales, dietary intake, blood biochemical index and body composition were evaluated to compare the changes of nutritional status. RESULTS: NRS-2002 score and PG-SGA score after chemotherapy were significantly increased than those before chemotherapy (P<0.001). Many patients had insufficient nutritional intake during chemotherapy, and the dietary intake score of patients with induction chemotherapy was significantly lower than that of patients with consolidation chemotherapy (P=0.043). The results of multivariate analysis showed that induction chemotherapy was the independent risk factor for the increase of PG-SGA scores and the decrease of dietary intake (all P<0.05). After chemotherapy, the white blood cell count, hemoglobin, and platelet count were significantly decreased (P<0.001), the prealbumin was significantly increased (P<0.001), and the blood glucose was increased (P=0.04), but albumin was not significantly changed. The weight, body mass index, fat-free mass, skeletal muscle mass and intracellular water were all significantly decreased (P<0.001), and visceral fat area was increased significantly after chemotherapy (P<0.05), especially in newly-diagnosed acute lymphoblastic leukemia patients after the induction of chemotherapy. CONCLUSION The nutritional status of patients with acute leukemia has undergone significant changes after chemotherapy. A single indicator has limited significance for nutritional status assessment. Comprehensive assessment of nutritional status by multiple tools is worthy of clinical application.
Acute Disease ; Humans ; Induction Chemotherapy/methods* ; Leukemia, Myeloid, Acute/drug therapy* ; Nutrition Assessment ; Nutritional Status ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/drug therapy*

Objective: To evaluate the effect of ultrasound diagnosis of thyroid micro-malignant nodules and accumulate practical experience for the management of active surveillance for them, so as to avoid overtreatment. Methods: A total of 949 patients who were diagnosed with thyroid malignant nodules using ultrasonography, with the nodules being less than 1 cm in size and without regional lymph node metastasis or distant metastasis, were included. They were treated by the same surgeon of the Department of Head and Neck Surgery, Cancer Hospital, Chinese Academy of Medical Sciences from February 2014 to December 2020. 112 patients chose immediate surgery. The rest patients were asked to accept ultrasound examination every 6 months to 1 year. Follow-up endpoints: tumor size growth of 3 mm, tumor volume increase greater than 50%, lymph node metastasis or distant metastasis. Results: The median follow-up time was 19 months. 713 patients underwent surveillance for more than 6 months. Of the 713 patients, 570 (79.9%) were women, with mean age at 43.5 years old. Tumor progression was observed in 47 (6.6%) patients with a cumulative incidence of 2.7% (1 year), 7.2% (2 years) and 9.5% (3 years). In multivariate analysis, patient age [HR=0.508, 95%CI: 0.275-0.939, P=0.031], lesion number [HR=2.945, 95%CI: 1.593-5.444, P=0.001] and tumor size [HR=2.245, 95%CI: 1.202-4.192, P=0.011] at the beginning of observation were independent risk factors for tumor progression in patients with minimal thyroid malignant nodules during follow-up. During a median (range) active surveillance of 19 (6-80) months, 74 patients chose surgery during the surveillance. Among the 186 patients who underwent surgery, only 3 patients were diagnosed with fibrotic nodules in pathology, while the rest were papillary thyroid carcinoma. The ultrasound accuracy reached 98.4%(183/186). Conclusions: Ultrasonography is an effective method of diagnosing malignant thyroid nodules. Thyroid micro-malignant nodules progress slowly. As a result, it is safe to observe them instead of taking immediate surgery. Patient age, lesion number and tumor size at the beginning of observation are independent risk factors for the tumor progression of malignant nodules.
Humans ; Female ; Adult ; Male ; Thyroid Nodule/surgery* ; Carcinoma, Papillary/surgery* ; Lymphatic Metastasis ; Thyroid Neoplasms/surgery* ; Thyroidectomy/methods* ; Watchful Waiting ; Ultrasonography ; Retrospective Studies

OBJECTIVES: To investigate the incidence of extrauterine growth retardation (EUGR) and its risk factors in very preterm infants (VPIs) during hospitalization in China. METHODS: A prospective multicenter study was performed on the medical data of 2 514 VPIs who were hospitalized in the department of neonatology in 28 hospitals from 7 areas of China between September 2019 and December 2020. According to the presence or absence of EUGR based on the evaluation of body weight at the corrected gestational age of 36 weeks or at discharge, the VPIs were classified to two groups: EUGR group (n=1 189) and non-EUGR (n=1 325). The clinical features were compared between the two groups, and the incidence of EUGR and risk factors for EUGR were examined. RESULTS: The incidence of EUGR was 47.30% (1 189/2 514) evaluated by weight. The multivariate logistic regression analysis showed that higher weight growth velocity after regaining birth weight and higher cumulative calorie intake during the first week of hospitalization were protective factors against EUGR (P<0.05), while small-for-gestational-age birth, prolonged time to the initiation of total enteral feeding, prolonged cumulative fasting time, lower breast milk intake before starting human milk fortifiers, prolonged time to the initiation of full fortified feeding, and moderate-to-severe bronchopulmonary dysplasia were risk factors for EUGR (P<0.05). CONCLUSIONS It is crucial to reduce the incidence of EUGR by achieving total enteral feeding as early as possible, strengthening breastfeeding, increasing calorie intake in the first week after birth, improving the velocity of weight gain, and preventing moderate-severe bronchopulmonary dysplasia in VPIs.
Female ; Fetal Growth Retardation ; Gestational Age ; Hospitalization ; Humans ; Incidence ; Infant ; Infant, Newborn ; Infant, Premature ; Infant, Very Low Birth Weight ; Prospective Studies ; Risk Factors

Coronavirus (CoVs) is a widespread pathogen that can infect humans and animals to cause serious acute and chronic respiratory diseases. Among them, SARS-CoV broke out in 2003, MERS-CoV was discovered and spread widely in 2012, and SARS-CoV-2 emerged at the end of 2019. They all belong to β-coronavirus. Peptidomimetic inhibitors targeting coronavirus main proteases (M^pro, 3CL^pro) have attracted much attention because of their broad spectrum and strong antiviral efficacy. In this review, peptidomimetic inhibitors of coronavirus main protease were classified and summarized according to the different "warheads" in design strategy. And also, the molecular structures, biological activity and design ideas of the inhibitors were analyzed and discussed, which is aimed to provide useful reference for further design and development of coronavirus inhibitors.

Objective: To investigate the efficacy and predictors of autologous hematopoietic stem cell transplantation (auto-HSCT) in the treatment of T lymphoblastic lymphoma (T-LBL) . Methods: 41 patients with T-LBL who underwent auto-HSCT from April 2006 to July 2017 in the Department of Hematology, the First Affiliated Hospital of Soochow University and the Department of Lymphoma, Peking University Cancer Hospital were analyzed retrospectively. Results: ①Among 41 patients, there were 30 males and 11 females with median age of 24 (11-53) years old. According to the Ann Arbor staging, 33 (80.5%) patients were in stage Ⅲ/Ⅳ. 12 (29.3%) patients have mediastinal involvement, and 20 (48.8%) patients have bone marrow (BM) involvement. Before transplantation, there were 26 (63.4%) patients who achieved first complete remission (CR(1)) , the other 15 (36.6%) patients were in the non-CR(1) group, and there were 29 (70.7%) patients in the low-intermediate risk group (IPI<3 scores) , the other 12 (34.1%) patients were in the middle-high risk group (IPI≥3 scores) . ②The median follow-up was 29 (3-98) months. The 3-year overall survival (OS) and progression-free survival (PFS) for 41 patients were (64.3±8.2) % and (66.0±7.8) %, respectively. 3-year cumulative recurrence rate (CIR) was (30.7±7.4) %, and 3-year non-recurring mortality (NRM) was (4.8±4.6) %. ③The 3-year OS of the CR(1) group and the non-CR(1) group were (83.4±7.6) % and (38.9±12.9) % (P=0.010) , and the 3-year PFS of two groups were (83.8±7.4) % and (40.0±12.6) % (P=0.006) , respectively. The 3-year CIR of these two groups were (16.2±7.4) % and (53.3±12.9) % (P=0.015) , and the 3-year NRM were 0 and (14.3±13.2) % (P=0.157) , respectively. ④The 3-year OS of the IPI low-intermediate risk group and the high-intermediate risk group were (76.9±8.4) % and (35.7±15.2) % (P=0.014) and the 3-year PFS were (77.4±8.2) % and (40.0±14.6) (P=0.011) , respectively. The 3-year CIR of these two groups were (18.1±7.3) % and (60.0±14.6) % (P=0.006) , and the 3-year NRM were (5.6±5.4) % and 0 (P=0.683) , respectively. The OS and PFS of patients with low-intermediate risk group were significantly higher than the other group. Conclusion: Auto-HSCT could improve the survival of T-LBL. Pre-transplant status and IPI score are important predictors for survival T-LBL patients with auto-HSCT.
Adolescent ; Adult ; Child ; Disease-Free Survival ; Female ; Hematopoietic Stem Cell Transplantation ; Humans ; Male ; Middle Aged ; Neoplasm Recurrence, Local ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/therapy* ; Prognosis ; Retrospective Studies ; T-Lymphocytes ; Transplantation, Autologous ; Treatment Outcome ; Young Adult

Adult ; Connexin 43 ; genetics ; Erythrokeratodermia Variabilis ; genetics ; Female ; Heterozygote ; Humans ; Male ; Mutation ; genetics ; Mutation, Missense ; genetics ; Pedigree

Next-generation sequencing has allowed identification of millions of somatic mutations in human cancer cells. A key challenge in interpreting cancer genomes is to distinguish drivers of cancer development among available genetic mutations. To address this issue, we present the first web-based application, consensus cancer driver gene caller (C), to identify the consensus driver genes using six different complementary strategies, i.e., frequency-based, machine learning-based, functional bias-based, clustering-based, statistics model-based, and network-based strategies. This application allows users to specify customized operations when calling driver genes, and provides solid statistical evaluations and interpretable visualizations on the integration results. C is implemented in Python and is freely available for public use at http://drivergene.rwebox.com/c3.

Objective:To investigate the effects of sling exercise therapy combined with Kinesio Taping on the balance and walking for stroke patients. Methods:From October, 2017 to August, 2018, 66 patients after stroke were randomly divided into routine group (n = 22), sling group (n = 22) and combined group (n = 22). All the groups accepted routine rehabilitation, while the sling group accepted sling exercise therapy based on routine group and the combined group accepted sling exercise therapy and Kinesio Taping. They were assessed with Berg Balance Scale (BBS) and Fugl-Meyer Assessment-Lower Extremities (FMA-LE), and their gait parameters were measured with Motion Analysis, before and four weeks after treatment. Results:There were obvious improvements in the BBS score, FMA-LE score and gait parameters in all the groups after treatment (P < 0.05), and it was ranked from better to worse as the combined group, the sling group and the routine group (P < 0.05). Conclusion:Sling exercise therapy combined with Kinesio Taping may further improve balance and walking for stroke patients.