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Yan S, Jin S, Wang PF, Yan LZ, Shang JJ, Shi XL, Wu XJ, Zhai YY, Yao WQ, Wang J, Yao Y, Fu CC. [Efficacy and safety of VRD regimen of autologous hematopoietic stem cell transplantation in patients with newly diagnosed multiple myeloma]. Zhonghua Nei Ke Za Zhi 2023; 62:819-825. [PMID: 37394852 DOI: 10.3760/cma.j.cn112138-20220918-00694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Objective: To explore the stem cell collection rate and efficacy and safety of patients aged 70 and below with newly diagnosed multiple myeloma (MM) treated with the VRD (bortezomib, lenalidomide and dexamethasone) regimen followed by autologous stem cell transplantation (ASCT). Methods: Retrospective case series study. The clinical data of 123 patients with newly diagnosed MM from August 1, 2018, to June 30, 2020, at the First Affiliated Hospital of Soochow University and Suzhou Hopes Hematology Hospital, who were eligible for VRD regimen sequential ASCT, were collected. The clinical characteristics, efficacy after induction therapy, mobilization regimen of autologous stem cells, autologous stem cell collection rate, and side effects and efficacy of ASCT were retrospectively analyzed. Results: Of the 123 patients, 67 were males. The median patient age was 56 (range: 31-70) years. Patients with IgG, IgA, IgD, and light-chain types accounted for 47.2% (58/123), 23.6% (29/123), 3.2% (4/123), and 26.0% (32/123) of patients, respectively. In addition, 25.2% (31/123) of patients had renal insufficiency (creatinine clearance rate<40 ml/min). Patients with Revised-International Staging System (R-ISS) Ⅲ accounted for 18.2% (22/121) of patients. After induction therapy, the rates of partial response and above, very-good partial response (VGPR) and above, and complete response (CR)+stringent CR were 82.1% (101/123), 75.6% (93/123), and 45.5% (56/123), respectively. Overall, 90.3% (84/93) of patients were mobilized with cyclophosphamide+granulocyte colony-stimulating factor (G-CSF) and 8 patients with G-CSF or G-CSF+plerixafor due to creatinine clearance rate<30 ml/min and one of them was mobilized with DECP (cisplatin, etoposide, cyclophosphamide and dexamethasone)+G-CSF for progressive disease. The rate of autologous stem cell collection (CD34+cells≥2×106/kg) after four courses of VRD regimen was 89.1% (82/92), and the rate of collection (CD34+cells≥5×106/kg) was 56.5% (52/92). Seventy-seven patients treated with the VRD regimen sequential ASCT. All patients had grade 4 neutropenia and thrombocytopenia. Among the nonhematologic adverse events during ASCT, the highest incidence was observed for gastrointestinal reactions (76.6%, 59/77), followed by oral mucositis (46.8%, 36/77), elevated aminotransferases (44.2%, 34/77), fever (37.7%, 29/77), infection (16.9%, 13/77) and heart-related adverse events (11.7%, 9/77). Among the adverse events, grade 3 adverse events included nausea (6.5%, 5/77), oral mucositis (5.2%, 4/77), vomiting (3.9%, 3/77), infection (2.6%, 2/77), elevated blood pressure after infusion (2.6%, 2/77), elevated alanine transaminase (1.3%, 1/77), and perianal mucositis (1.3%, 1/77); there were no grade 4 or above nonhematologic adverse events. The proportion of patients who achieved VGPR and above after VRD sequential ASCT was 100% (75/75), and the proportion of patients who were minimal residual disease-negative (<10-4 level) was 82.7% (62/75). Conclusion: In patients aged 70 and below with newly diagnosed MM treated with VRD induction therapy, the collection rate of autologous stem cells was good, and good efficacy and tolerability were noted after follow-up ASCT.
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Affiliation(s)
- S Yan
- Department of Hematology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - S Jin
- Department of Hematology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - P F Wang
- Department of Hematology, Soochow Hopes Hematology Hospital, Suzhou 215128, China
| | - L Z Yan
- Department of Hematology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - J J Shang
- Department of Hematology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - X L Shi
- Department of Hematology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - X J Wu
- Department of Hematology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - Y Y Zhai
- Department of Hematology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - W Q Yao
- Department of Hematology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - J Wang
- Department of Hematology, Soochow Hopes Hematology Hospital, Suzhou 215128, China
| | - Y Yao
- Department of Hematology, Soochow Hopes Hematology Hospital, Suzhou 215128, China
| | - C C Fu
- Department of Hematology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
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Wang J, Yao Y, Shang JJ, Ma X, Fu CC, Wu DP, Jin S. [Efficacy and safety of bendamustine combined with pomalidomide and dexamethasone in patients with relapsed and refractory multiple myeloma]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:504-507. [PMID: 37550209 PMCID: PMC10450555 DOI: 10.3760/cma.j.issn.0253-2727.2023.06.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Indexed: 08/09/2023]
Affiliation(s)
- J Wang
- Department of Hematology, Soochow Hopes Hematology Hospital, Suzhou 215128, China
| | - Y Yao
- Department of Hematology, Soochow Hopes Hematology Hospital, Suzhou 215128, China
| | - J J Shang
- Department of Hematology, the First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Suzhou 215006, China
| | - X Ma
- Department of Hematology, the First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Suzhou 215006, China
| | - C C Fu
- Department of Hematology, the First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Suzhou 215006, China
| | - D P Wu
- Department of Hematology, the First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Suzhou 215006, China
| | - S Jin
- Department of Hematology, the First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Suzhou 215006, China
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Zhou M, Kang HZ, Gu CY, Liu YJ, Wang Y, Miao M, Fu JH, Tang XW, Qiu HY, Fu CC, Jin ZM, Li CX, Chen SN, Sun AN, Wu DP, Han Y. [Efficacy and safefy of Polymyxin B treatment for neutropenic patients suffering from refractory Gram-negative bacterial bloodstream infection]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:484-489. [PMID: 37550204 PMCID: PMC10450549 DOI: 10.3760/cma.j.issn.0253-2727.2023.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Indexed: 08/09/2023]
Abstract
Objective: To assess the efficacy and safety of polymyxin B in neutropenic patients with hematologic disorders who had refractory gram-negative bacterial bloodstream infection. Methods: From August 2021 to July 2022, we retrospectively analyzed neutropenic patients with refractory gram-negative bacterial bloodstream infection who were treated with polymyxin B in the Department of Hematology of the First Affiliated Hospital of the Soochow University between August 2021 to July 2022. The cumulative response rate was then computed. Results: The study included 27 neutropenic patients with refractory gram-negative bacterial bloodstream infections. Polymyxin B therapy was effective in 22 of 27 patients. The median time between the onset of fever and the delivery of polymyxin B was 3 days [interquartile range (IQR) : 2-5]. The median duration of polymyxin B treatment was 7 days (IQR: 5-11). Polymyxin B therapy had a median antipyretic time of 37 h (IQR: 32-70). The incidence of acute renal dysfunction was 14.8% (four out of 27 cases), all classified as "injury" according to RIFLE criteria. The incidence of hyperpigmentation was 59.3%. Conclusion: Polymyxin B is a viable treatment option for granulocytopenia patients with refractory gram-negative bacterial bloodstream infections.
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Affiliation(s)
- M Zhou
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, National Clinical Research Center for Hematologic Diseases, Suzhou 215006, China
| | - H Z Kang
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, National Clinical Research Center for Hematologic Diseases, Suzhou 215006, China
| | - C Y Gu
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, National Clinical Research Center for Hematologic Diseases, Suzhou 215006, China
| | - Y J Liu
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, National Clinical Research Center for Hematologic Diseases, Suzhou 215006, China
| | - Y Wang
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, National Clinical Research Center for Hematologic Diseases, Suzhou 215006, China
| | - M Miao
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, National Clinical Research Center for Hematologic Diseases, Suzhou 215006, China
| | - J H Fu
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, National Clinical Research Center for Hematologic Diseases, Suzhou 215006, China
| | - X W Tang
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, National Clinical Research Center for Hematologic Diseases, Suzhou 215006, China
| | - H Y Qiu
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, National Clinical Research Center for Hematologic Diseases, Suzhou 215006, China
| | - C C Fu
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, National Clinical Research Center for Hematologic Diseases, Suzhou 215006, China
| | - Z M Jin
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, National Clinical Research Center for Hematologic Diseases, Suzhou 215006, China
| | - C X Li
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, National Clinical Research Center for Hematologic Diseases, Suzhou 215006, China
| | - S N Chen
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, National Clinical Research Center for Hematologic Diseases, Suzhou 215006, China
| | - A N Sun
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, National Clinical Research Center for Hematologic Diseases, Suzhou 215006, China
| | - D P Wu
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, National Clinical Research Center for Hematologic Diseases, Suzhou 215006, China
| | - Y Han
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, National Clinical Research Center for Hematologic Diseases, Suzhou 215006, China
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Xu W, Jia X, Mei Z, Gu X, Lu Y, Fu CC, Zhang R, Gu Y, Chen X, Luo X, Li N, Bai B, Li Q, Yan J, Zhai H, Guan L, Gong B, Zhao K, Fang Q, He C, Zhan W, Luo T, Zhang H, Dong Y, Zhou J. Generalizability and Diagnostic Performance of AI Models for Thyroid US. Radiology 2023; 307:e221157. [PMID: 37338356 DOI: 10.1148/radiol.221157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/21/2023]
Abstract
Background Artificial intelligence (AI) models have improved US assessment of thyroid nodules; however, the lack of generalizability limits the application of these models. Purpose To develop AI models for segmentation and classification of thyroid nodules in US using diverse data sets from nationwide hospitals and multiple vendors, and to measure the impact of the AI models on diagnostic performance. Materials and Methods This retrospective study included consecutive patients with pathologically confirmed thyroid nodules who underwent US using equipment from 12 vendors at 208 hospitals across China from November 2017 to January 2019. The detection, segmentation, and classification models were developed based on the subset or complete set of images. Model performance was evaluated by precision and recall, Dice coefficient, and area under the receiver operating characteristic curve (AUC) analyses. Three scenarios (diagnosis without AI assistance, with freestyle AI assistance, and with rule-based AI assistance) were compared with three senior and three junior radiologists to optimize incorporation of AI into clinical practice. Results A total of 10 023 patients (median age, 46 years [IQR 37-55 years]; 7669 female) were included. The detection, segmentation, and classification models had an average precision, Dice coefficient, and AUC of 0.98 (95% CI: 0.96, 0.99), 0.86 (95% CI: 0.86, 0.87), and 0.90 (95% CI: 0.88, 0.92), respectively. The segmentation model trained on the nationwide data and classification model trained on the mixed vendor data exhibited the best performance, with a Dice coefficient of 0.91 (95% CI: 0.90, 0.91) and AUC of 0.98 (95% CI: 0.97, 1.00), respectively. The AI model outperformed all senior and junior radiologists (P < .05 for all comparisons), and the diagnostic accuracies of all radiologists were improved (P < .05 for all comparisons) with rule-based AI assistance. Conclusion Thyroid US AI models developed from diverse data sets had high diagnostic performance among the Chinese population. Rule-based AI assistance improved the performance of radiologists in thyroid cancer diagnosis. © RSNA, 2023 Supplemental material is available for this article.
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Affiliation(s)
- WenWen Xu
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - XiaoHong Jia
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - ZiHan Mei
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - XiaoLin Gu
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - Yang Lu
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - Chi-Cheng Fu
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - RuiFang Zhang
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - Ying Gu
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - Xia Chen
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - XiaoMao Luo
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - Ning Li
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - BaoYan Bai
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - QiaoYing Li
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - JiPing Yan
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - Hong Zhai
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - Ling Guan
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - Bing Gong
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - KeYang Zhao
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - Qu Fang
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - Chuan He
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - WeiWei Zhan
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - Ting Luo
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - HuiTing Zhang
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - YiJie Dong
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
| | - JianQiao Zhou
- From the Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 Ruijin Er Road, 200025, Shanghai, China (W.W.X., X.H.J., Z.H.M., W.W.Z., T.L., H.T.Z., Y.J.D., J.Q.Z.); Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China (X.L.G., Y.L., C.C.F., K.Y.Z., Q.F., C.H.); Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China (R.F.Z.); Department of Medical Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, China (Y.G., X.C.); Department of Medical Ultrasound, Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University, Kunming, China (X.M.L.); Department of Ultrasound, Yunnan Kungang Hospital, The Seventh Affiliated Hospital of Dali University, Anning, China (N.L.); Department of Ultrasound, Affiliated Hospital of Yan'an University, Yan'an, China (B.Y.B.); Department of Ultrasound, Tangdu Hospital, Fourth Military Medical University, Xi'an, China (Q.Y.L.); Department of Ultrasound, Shanxi Provincial People's Hospital, Taiyuan, China (J.P.Y.); Department of Ultrasound, Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region, China (H.Z.); Department of Ultrasound, Gansu Provincial Cancer Hospital, Lanzhou, China (L.G.); Department of Ultrasound, Jilin Central General Hospital, Jilin, China (B.G.); and College of Health Science and Technology, Shanghai Jiaotong University School of Medicine, Shanghai, China (J.Q.Z.)
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Wang QQ, Yao L, Zhu MQ, Yan LZ, Jin S, Shang JJ, Shi XL, Zhai YY, Yan S, Yao WQ, You HY, Wu DP, Fu CC. [Comparison of next-generation flow cytometry and next-generation sequencing in the assessment of minimal residual disease in multiple myeloma]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:328-332. [PMID: 37357003 DOI: 10.3760/cma.j.issn.0253-2727.2023.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 06/27/2023]
Affiliation(s)
- Q Q Wang
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, NHC Key Laboratory of Thrombosis and Hemostasis, the First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - L Yao
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, NHC Key Laboratory of Thrombosis and Hemostasis, the First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - M Q Zhu
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, NHC Key Laboratory of Thrombosis and Hemostasis, the First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - L Z Yan
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, NHC Key Laboratory of Thrombosis and Hemostasis, the First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - S Jin
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, NHC Key Laboratory of Thrombosis and Hemostasis, the First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - J J Shang
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, NHC Key Laboratory of Thrombosis and Hemostasis, the First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - X L Shi
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, NHC Key Laboratory of Thrombosis and Hemostasis, the First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - Y Y Zhai
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, NHC Key Laboratory of Thrombosis and Hemostasis, the First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - S Yan
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, NHC Key Laboratory of Thrombosis and Hemostasis, the First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - W Q Yao
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, NHC Key Laboratory of Thrombosis and Hemostasis, the First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - H Y You
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, NHC Key Laboratory of Thrombosis and Hemostasis, the First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - D P Wu
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, NHC Key Laboratory of Thrombosis and Hemostasis, the First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - C C Fu
- Jiangsu Institute of Hematology, National Clinical Research Center for Hematologic Diseases, NHC Key Laboratory of Thrombosis and Hemostasis, the First Affiliated Hospital of Soochow University, Suzhou 215000, China
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Pu Y, Zhou X, Zhang D, Guan Y, Xia Y, Tu W, Lu Y, Zhang W, Fu CC, Fang Q, de Bock GH, Liu S, Fan L. Re-Defining High Risk COPD with Parameter Response Mapping Based on Machine Learning Models. Int J Chron Obstruct Pulmon Dis 2022; 17:2471-2483. [PMID: 36217330 PMCID: PMC9547550 DOI: 10.2147/copd.s369904] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 07/21/2022] [Indexed: 11/05/2022] Open
Abstract
Purpose To explore optimal threshold of FEV1% predicted value (FEV1%pre) for high-risk chronic obstructive pulmonary disease (COPD) using the parameter response mapping (PRM) based on machine learning classification model. Patients and Methods A total of 561 consecutive non-COPD subjects who were screened for chest diseases in our hospital between August and October 2018 and who had complete questionnaire surveys, pulmonary function tests (PFT), and paired respiratory chest CT scans were enrolled retrospectively. The CT quantitative parameter for small airway remodeling was PRM, and 72 parameters were obtained at the levels of whole lung, left and right lung, and five lobes. To identify a more reasonable thresholds of FEV1% predicted value for distinguishing high-risk COPD patients from the normal, 80 thresholds from 50% to 129% were taken with a partition of 1% to establish a random forest classification model under each threshold, such that novel PFT-parameter-based high-risk criteria would be more consistent with the PRM-based machine learning classification model. Results Machine learning-based PRM showed that consistency between PRM parameters and PFT was better able to distinguish high-risk COPD from the normal, with an AUC of 0.84 when the threshold was 72%. When the threshold was 80%, the AUC was 0.72 and when the threshold was 95%, the AUC was 0.64. Conclusion Machine learning-based PRM is feasible for redefining high-risk COPD, and setting the optimal FEV1% predicted value lays the foundation for redefining high-risk COPD diagnosis.
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Affiliation(s)
- Yu Pu
- Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, People’s Republic of China
| | - Xiuxiu Zhou
- Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, People’s Republic of China
| | - Di Zhang
- Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, People’s Republic of China
| | - Yu Guan
- Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, People’s Republic of China
| | - Yi Xia
- Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, People’s Republic of China
| | - Wenting Tu
- Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, People’s Republic of China
| | - Yang Lu
- Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, People’s Republic of China
| | - Weidong Zhang
- Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, People’s Republic of China
| | - Chi-Cheng Fu
- Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, People’s Republic of China
| | - Qu Fang
- Department of Scientific Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, People’s Republic of China
| | - Geertruida H de Bock
- Department of Epidemiology, University Medical Center Groningen, Groningen, the Netherlands
| | - Shiyuan Liu
- Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, People’s Republic of China,Correspondence: Shiyuan Liu; Li Fan, Department of Radiology, ChangZheng Hospital, Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003, People’s Republic of China, Tel +86 21 81886012; Tel +86 21 81886012, Fax +86 21 63587668, Email ;
| | - Li Fan
- Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, People’s Republic of China
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Yan Z, Chen GH, Yao WQ, Yan LZ, Jin S, Shang JJ, Shi XL, Wu DP, Fu CC. [The expression level of secretory mature B cell surface antigen in primary diagnosed multiple myeloma and its clinical significance]. Zhonghua Yi Xue Za Zhi 2022; 102:2351-2356. [PMID: 35970793 DOI: 10.3760/cma.j.cn112137-20211231-02933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To explorer Secretory mature B cell surface antigen (sBCMA) expression level, changes during treatment and clinical significance in newly diagnosed MM patients. Methods: Clinical data of 158 MM patients admitted to the Department of Hematology, the First Affiliated Hospital of Soochow University from August 2018 to September 2020 were analyzed retrospectively. The concentration of sBCMA in the patients was determined by BCMA ELISA and compared with the normal range. The results were compared with clinical efficacy, age, type, R-ISS stage, renal impairment, and humoral immune function. Results: The median age of the patients was 57 (31-73 years old), 86 (54.5%) males and 72 (45.5%) females, mainly IgG type, 81 patients(51.2%). SBCMA value M(Q1,Q3) was 76.50 (55.50, 94.40) μg/L, 100% higher than the upper limit of normal value. According to the efficacy evaluation, the patients were divided into complete remission(CR) group, very good partial remission(VGPR) group, partial remission(PR) group and ineffiecacy group, the results showed the level of sBCMA in CR group[80.10 (58.05, 96.90) vs 15.70 (9.85, 28.65) μg/L] and VGPR group[74.60 (52.20, 93.00) vs 17.20 (13.30, 38.80) μg/L]was significantly higher than that before treatment(all P<0.001), and there was no significant difference in PR group and ineffective group before and after treatment (all P>0.05).The amount of serum intact protein M protein was positively correlated with the level of sBCMA expression in newly diagnosed patients (r=0.22, P=0.040), and there was no correlation between the proportion of bone marrow plasma cells and sBCMA expression (r=0.07, P=0.449).The correlation between sBCMA levels at initial diagnosis and MM type[IgG type, IgA type vs light chain type:(78.6±3.5), (72.4±5.4) vs (83.8±6.9)μg/L], age[≥65 vs<65 years: (73.6±5.5)vs (79.3±3.1)μg/L], R-ISS stage[stage Ⅰ, Ⅱ vs Ⅲ:(80.2±3.1) vs (69.4±6.1)μg/L], renal impairment [Creatinine clearance rate (Ccr) ≤30 vs>30 ml/min:(81.6±4.8) vs (76.5±3.4)μg/L], and high-risk karyotype[high-risk vs standard-risk:(73.6±5.7) vs (80.2±3.2)μg/L] were not associated (all P>0.05). Expression levels of sBCMA were negatively correlated with IgM levels in MM patients (r=-0.39, P=0.002) and after treatment (r=-0.25, P=0.015). Conclusions: The expression of sBCMA in MM patients is a reliable indicator of the clinical efficacy of MM and is related to the occurrence of MM immune deficiency and recovery after treatment. sBCMA can be used as a new independent marker for monitoring and predicting the efficacy of MM patients.
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Affiliation(s)
- Z Yan
- Department of Hematology, First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - G H Chen
- Department of Hematology, First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - W Q Yao
- Department of Hematology, First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - L Z Yan
- Department of Hematology, First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - S Jin
- Department of Hematology, First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - J J Shang
- Department of Hematology, First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - X L Shi
- Department of Hematology, First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - D P Wu
- Department of Hematology, First Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - C C Fu
- Department of Hematology, First Affiliated Hospital of Soochow University, Suzhou 215000, China
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Wang X, Gao M, Xie J, Deng Y, Tu W, Yang H, Liang S, Xu P, Zhang M, Lu Y, Fu C, Li Q, Fan L, Liu S. Development, Validation, and Comparison of Image-Based, Clinical Feature-Based and Fusion Artificial Intelligence Diagnostic Models in Differentiating Benign and Malignant Pulmonary Ground-Glass Nodules. Front Oncol 2022; 12:892890. [PMID: 35747810 PMCID: PMC9209648 DOI: 10.3389/fonc.2022.892890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 04/22/2022] [Indexed: 11/13/2022] Open
Abstract
Objective This study aimed to develop effective artificial intelligence (AI) diagnostic models based on CT images of pulmonary nodules only, on descriptional and quantitative clinical or image features, or on a combination of both to differentiate benign and malignant ground-glass nodules (GGNs) to assist in the determination of surgical intervention. Methods Our study included a total of 867 nodules (benign nodules: 112; malignant nodules: 755) with postoperative pathological diagnoses from two centers. For the diagnostic models to discriminate between benign and malignant GGNs, we adopted three different artificial intelligence (AI) approaches: a) an image-based deep learning approach to build a deep neural network (DNN); b) a clinical feature-based machine learning approach based on the clinical and image features of nodules; c) a fusion diagnostic model integrating the original images and the clinical and image features. The performance of the models was evaluated on an internal test dataset (the “Changzheng Dataset”) and an independent test dataset collected from an external institute (the “Longyan Dataset”). In addition, the performance of automatic diagnostic models was compared with that of manual evaluations by two radiologists on the ‘Longyan dataset’. Results The image-based deep learning model achieved an appealing diagnostic performance, yielding AUC values of 0.75 (95% confidence interval [CI]: 0.62, 0.89) and 0.76 (95% CI: 0.61, 0.90), respectively, on both the Changzheng and Longyan datasets. The clinical feature-based machine learning model performed well on the Changzheng dataset (AUC, 0.80 [95% CI: 0.64, 0.96]), whereas it performed poorly on the Longyan dataset (AUC, 0.62 [95% CI: 0.42, 0.83]). The fusion diagnostic model achieved the best performance on both the Changzheng dataset (AUC, 0.82 [95% CI: 0.71-0.93]) and the Longyan dataset (AUC, 0.83 [95% CI: 0.70-0.96]), and it achieved a better specificity (0.69) than the radiologists (0.33-0.44) on the Longyan dataset. Conclusion The deep learning models, including both the image-based deep learning model and the fusion model, have the ability to assist radiologists in differentiating between benign and malignant nodules for the precise management of patients with GGNs.
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Affiliation(s)
- Xiang Wang
- Department of Radiology, Changzheng Hospital, Navy Medical University, Shanghai, China
| | - Man Gao
- Department of Radiology, Changzheng Hospital, Navy Medical University, Shanghai, China
| | - Jicai Xie
- Department of Radiology, The Second People’s Hospital of Yuhuan, Yuhuan, China
| | - Yanfang Deng
- Department of Radiology, Longyan First Affiliated Hospital of Fujian Medical University, Fujian, China
| | - Wenting Tu
- Department of Radiology, Changzheng Hospital, Navy Medical University, Shanghai, China
| | - Hua Yang
- Department of Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China
| | - Shuang Liang
- Department of Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China
| | - Panlong Xu
- Department of Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China
| | - Mingzi Zhang
- Department of Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China
| | - Yang Lu
- Department of Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China
| | - ChiCheng Fu
- Department of Research, Shanghai Aitrox Technology Corporation Limited, Shanghai, China
| | - Qiong Li
- Department of Radiology, Sun Yat-sen University Cancer Center (SYSUCC), Guangzhou, China
- *Correspondence: Qiong Li, ; Li Fan, ; Shiyuan Liu,
| | - Li Fan
- Department of Radiology, Changzheng Hospital, Navy Medical University, Shanghai, China
- *Correspondence: Qiong Li, ; Li Fan, ; Shiyuan Liu,
| | - Shiyuan Liu
- Department of Radiology, Changzheng Hospital, Navy Medical University, Shanghai, China
- *Correspondence: Qiong Li, ; Li Fan, ; Shiyuan Liu,
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9
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Huang Z, Chen L, Lv L, Fu CC, Jin Y, Zheng Q, Wang B, Ye Q, Fang Q, Li Y. A new AI-assisted scoring system for PD-L1 expression in NSCLC. Comput Methods Programs Biomed 2022; 221:106829. [PMID: 35660765 DOI: 10.1016/j.cmpb.2022.106829] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 03/29/2022] [Accepted: 04/20/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Artificial intelligence (AI) analysis may serve as a scoring tool for programmed cell death ligand-1 (PD-L1) expression. In this study, a new AI-assisted scoring system for pathologists was tested for PD-L1 expression assessment in non-small cell lung cancer (NSCLC). METHODS PD-L1 expression was evaluated using the tumor proportion score (TPS) categorized into three levels: negative (TPS < 1%), low expression (TPS 1-49%), and high expression (TPS ≥ 50%). In order to train, validate, and test the Aitrox AI segmentation model at the whole slide image (WSI) level, 54, 53, and 115 cases were used as training, validation, and test datasets, respectively. TPS reading results from five experienced pathologists, six inexperienced and the Aitrox AI model were analyzed on 115 PD-L1 stained WSIs. The Gold Standard for TPS was derived from the review of three expert pathologists. Spearman's correlation coefficient was calculated and compared between the results. RESULTS Aitrox AI Model correlated strongly with the TPS Gold Standard and was comparable with the results of three of the five experienced pathologists. In contrast, the results of four of the six inexperienced pathologists correlated only moderately with the TPS Gold Standard. Aitrox AI Model performed better than the inexperienced pathologists and was comparable to experienced pathologists in both negative and low TPS groups. Despite the fact that the low TPS group showed 5.09% of cases with large fluctuations, the Aitrox AI Model still showed a higher correlation than the inexperienced pathologists. However, the AI model showed unsatisfactory performance in the high TPS groups, especially lower values than the Gold Standard in images with large regions of false-positive cells. CONCLUSION The Aitrox AI Model demonstrates potential in assisting routine diagnosis of NSCLC by pathologists through scoring of PD-L1 expression.
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Affiliation(s)
- Ziling Huang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lijun Chen
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lei Lv
- Shanghai Aitrox Technology Corporation Limited, Shanghai, China
| | - Chi-Cheng Fu
- Shanghai Aitrox Technology Corporation Limited, Shanghai, China
| | - Yan Jin
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Qiang Zheng
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Boyang Wang
- Shanghai Aitrox Technology Corporation Limited, Shanghai, China
| | - Qiuyi Ye
- Shanghai Aitrox Technology Corporation Limited, Shanghai, China
| | - Qu Fang
- Shanghai Aitrox Technology Corporation Limited, Shanghai, China
| | - Yuan Li
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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Yu Q, Huang Y, Li X, Pavlides M, Liu D, Luo H, Ding H, An W, Liu F, Zuo C, Lu C, Tang T, Wang Y, Huang S, Liu C, Zheng T, Kang N, Liu C, Wang J, Akçalar S, Çelebioğlu E, Üstüner E, Bilgiç S, Fang Q, Fu CC, Zhang R, Wang C, Wei J, Tian J, Örmeci N, Ellik Z, Asiller ÖÖ, Ju S, Qi X. An imaging-based artificial intelligence model for non-invasive grading of hepatic venous pressure gradient in cirrhotic portal hypertension. Cell Rep Med 2022; 3:100563. [PMID: 35492878 PMCID: PMC9040173 DOI: 10.1016/j.xcrm.2022.100563] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Revised: 12/19/2021] [Accepted: 02/17/2022] [Indexed: 12/15/2022]
Abstract
The hepatic venous pressure gradient (HVPG) is the gold standard for cirrhotic portal hypertension (PHT), but it is invasive and specialized. Alternative non-invasive techniques are needed to assess the hepatic venous pressure gradient (HVPG). Here, we develop an auto-machine-learning CT radiomics HVPG quantitative model (aHVPG), and then we validate the model in internal and external test datasets by the area under the receiver operating characteristic curves (AUCs) for HVPG stages (≥10, ≥12, ≥16, and ≥20 mm Hg) and compare the model with imaging- and serum-based tools. The final aHVPG model achieves AUCs over 0.80 and outperforms other non-invasive tools for assessing HVPG. The model shows performance improvement in identifying the severity of PHT, which may help non-invasive HVPG primary prophylaxis when transjugular HVPG measurements are not available. aHVPG is an automated HVPG quantitative estimation model based on CT aHVPG has the potential to assess HVPG and outperforms other non-invasive tools Non-invasive tools may help PHT monitoring when invasive HVPG is not available
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Affiliation(s)
- Qian Yu
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Yifei Huang
- CHESS Center, Institute of Portal Hypertension, First Hospital of Lanzhou University, Lanzhou, China
| | - Xiaoguo Li
- CHESS Center, Institute of Portal Hypertension, First Hospital of Lanzhou University, Lanzhou, China
| | - Michael Pavlides
- Radcliffe Department of Medicine, Oxford Centre for Magnetic Resonance Research, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Dengxiang Liu
- CHESS Working Party, Xingtai People's Hospital, Xingtai, China
| | - Hongwu Luo
- Department of General Surgery, Third Xiangya Hospital of Central South University, Changsha, China
| | - Huiguo Ding
- Department of Gastroenterology and Hepatology, Beijing You'an Hospital, Capital Medical University, Beijing, China
| | - Weimin An
- Department of Radiology, Fifth Medical Center of PLA General Hospital, Beijing, China
| | - Fuquan Liu
- Department of Interventional Therapy, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Changzeng Zuo
- CHESS Working Party, Xingtai People's Hospital, Xingtai, China
| | - Chunqiang Lu
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Tianyu Tang
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Yuancheng Wang
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Shan Huang
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Chuan Liu
- CHESS Center, Institute of Portal Hypertension, First Hospital of Lanzhou University, Lanzhou, China
| | - Tianlei Zheng
- CHESS Center, Institute of Portal Hypertension, First Hospital of Lanzhou University, Lanzhou, China
| | - Ning Kang
- CHESS Center, Institute of Portal Hypertension, First Hospital of Lanzhou University, Lanzhou, China
| | - Changchun Liu
- Department of Radiology, Fifth Medical Center of PLA General Hospital, Beijing, China
| | - Jitao Wang
- CHESS Working Party, Xingtai People's Hospital, Xingtai, China
| | - Seray Akçalar
- Department of Radiology, Ankara University School of Medicine, Ankara, Turkey
| | - Emrecan Çelebioğlu
- Department of Radiology, Ankara University School of Medicine, Ankara, Turkey
| | - Evren Üstüner
- Department of Radiology, Ankara University School of Medicine, Ankara, Turkey
| | - Sadık Bilgiç
- Department of Radiology, Ankara University School of Medicine, Ankara, Turkey
| | - Qu Fang
- Shanghai Aitrox Technology Corporation, Shanghai, China
| | - Chi-Cheng Fu
- Shanghai Aitrox Technology Corporation, Shanghai, China
| | - Ruiping Zhang
- Department of Radiology, Shanxi Bethune Hospital, Third Hospital of Shanxi Medical University, Shanxi, China
| | - Chengyan Wang
- Human Phenome Institute, Fudan University, Shanghai, China
| | - Jingwei Wei
- Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,Beijing Key Laboratory of Molecular Imaging, Beijing, China
| | - Jie Tian
- Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,Beijing Key Laboratory of Molecular Imaging, Beijing, China
| | - Necati Örmeci
- Department of Gastroenterology, Ankara University School of Medicine, Ankara, Turkey
| | - Zeynep Ellik
- Department of Gastroenterology, Ankara University School of Medicine, Ankara, Turkey
| | - Özgün Ömer Asiller
- Department of Gastroenterology, Ankara University School of Medicine, Ankara, Turkey
| | - Shenghong Ju
- Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Xiaolong Qi
- CHESS Center, Institute of Portal Hypertension, First Hospital of Lanzhou University, Lanzhou, China
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Wang J, Shang JJ, Jin S, Yao Y, Yan Z, Wu DP, Fu CC. [Efficacy of total oral regimens containing ixazomib in patients with relapsed and refractory multiple myeloma]. Zhonghua Nei Ke Za Zhi 2022; 61:95-98. [PMID: 34979777 DOI: 10.3760/cma.j.cn112138-20210117-00045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
To investigate the efficacy and safety of total oral regimen containing ixazomib in multidrug-resistant relapsed and refractory multiple myeloma(RRMM). A total of 38 patients were retrospectively analyzed from August 2018 to January 2020 in the First Affiliated Hospital of Soochow University. The overall response rate (ORR)was 36.8%. Among them, the very good partial response (VGPR) or better rate was 23.7%, and the complete response (CR) rate was 5.3%. The ORR was 41.7% in patients receiving ixazomib-lenalidomide-dexamethasone (IRD) regimen. Median PFS was 5 months and median OS was 7.5 months. The ORR was 50% after second-line therapy, 40% after third-line therapy and 12.5% after forth-line therapy or more. The ORR was 29.0% in bortezomib-refractory patients, 38.0% in lenalidomide-refractory patients, 21.4% in bortezmoib & lenalidomide dual refractory patients. Grade 3-4 hematological adverse events (AEs) were reported in 21% patients. Common hematological AEs included lymphopenia, neutropenia, thrombocytopenia. Other usual AEs were fatigue and diarrhea. No grade 3-4 peripheral neuropathy was recorded. In the treatment of relapsed/refractory multiple myeloma patients with multidrug resistance, the total oral regimens containing ixazomib demonstrate reliable efficacy and safety. Early administration of ixazomib at first or second relapse is suggested for more favorable clinical outcome.
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Affiliation(s)
- J Wang
- Department of Hematology, Soochow Hopes Hematology Hospital, Suzhou 215128, China
| | - J J Shang
- Department of Hematology, the First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Suzhou 215006, China
| | - S Jin
- Department of Hematology, the First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Suzhou 215006, China
| | - Y Yao
- Department of Hematology, Soochow Hopes Hematology Hospital, Suzhou 215128, China
| | - Z Yan
- Department of Hematology, the First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Suzhou 215006, China
| | - D P Wu
- Department of Hematology, Soochow Hopes Hematology Hospital, Suzhou 215128, China Department of Hematology, the First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Suzhou 215006, China
| | - C C Fu
- Department of Hematology, Soochow Hopes Hematology Hospital, Suzhou 215128, China Department of Hematology, the First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Suzhou 215006, China
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Guo Y, Song Q, Jiang M, Guo Y, Xu P, Zhang Y, Fu CC, Fang Q, Zeng M, Yao X. Histological Subtypes Classification of Lung Cancers on CT Images Using 3D Deep Learning and Radiomics. Acad Radiol 2021; 28:e258-e266. [PMID: 32622740 DOI: 10.1016/j.acra.2020.06.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2020] [Revised: 06/05/2020] [Accepted: 06/05/2020] [Indexed: 12/24/2022]
Abstract
RATIONALE AND OBJECTIVES Histological subtypes of lung cancers are critical for clinical treatment decision. In this study, we attempt to use 3D deep learning and radiomics methods to automatically distinguish lung adenocarcinomas (ADC), squamous cell carcinomas (SCC), and small cell lung cancers (SCLC) respectively on Computed Tomography images, and then compare their performance. MATERIALS AND METHODS 920 patients (mean age 61.2, range, 17-87; 340 Female and 580 Male) with lung cancer, including 554 patients with ADC, 175 patients with lung SCC and 191 patients with SCLC, were included in this retrospective study from January 2013 to August 2018. Histopathologic analysis was available for every patient. The classification models based on 3D deep learning (named the ProNet) and radiomics (named com_radNet) were designed to classify lung cancers into the three types mentioned above according to histopathologic results. The training, validation and testing cohorts counted 0.70, 0.15, and 0.15 of the whole datasets respectively. RESULTS The ProNet model used to classify the three types of lung cancers achieved the F1-scores of 90.0%, 72.4%, 83.7% in ADC, SCC, and SCLC respectively, and the weighted average F1-score of 73.2%. For com_radNet, the F1-scores achieved 83.1%, 75.4%, 85.1% in ADC, SCC, and SCLC, and the weighted average F1-score was 72.2%. The area under the receiver operating characteristic curve of the ProNet model and com_radNet were 0.840 and 0.789, and the accuracy were 71.6% and 74.7% respectively. CONCLUSION The ProNet and com_radNet models we developed can achieve high performance in distinguishing ADC, SCC, and SCLC and may be promising approaches for non-invasive predicting histological subtypes of lung cancers.
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Yao L, Chen Y, Zhai YY, Shi XL, Cen JN, Yan LZ, Fu CC, Chen SN. [Characteristics of immunoglobulin heavy-chain gene clonal rearrangements by next-generation sequencing of patients with multiple myeloma]. Zhonghua Xue Ye Xue Za Zhi 2021; 42:683-686. [PMID: 34547877 PMCID: PMC8501283 DOI: 10.3760/cma.j.issn.0253-2727.2021.08.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- L Yao
- National Clinical Research Center for Hematologic Diseases, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - Y Chen
- National Clinical Research Center for Hematologic Diseases, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - Y Y Zhai
- National Clinical Research Center for Hematologic Diseases, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - X L Shi
- National Clinical Research Center for Hematologic Diseases, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - J N Cen
- National Clinical Research Center for Hematologic Diseases, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - L Z Yan
- National Clinical Research Center for Hematologic Diseases, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - C C Fu
- National Clinical Research Center for Hematologic Diseases, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - S N Chen
- National Clinical Research Center for Hematologic Diseases, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
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Fu CC. [Chimeric antigen receptor T cells: the challenge to current treatment of multiple myeloma]. Zhonghua Nei Ke Za Zhi 2020; 59:495-497. [PMID: 32594682 DOI: 10.3760/cma.j.cn112138-20200330-00317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- C C Fu
- Department of Hematology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
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Yao WQ, Zhu MQ, Yan LZ, Jin S, Shang JJ, Yao Y, Yan S, Liu Y, Wu DP, Fu CC. [Clinical implication of minimal residual disease monitoring by 10-color flow cytometry in multiple myeloma]. Zhonghua Xue Ye Xue Za Zhi 2019; 40:720-725. [PMID: 31648471 PMCID: PMC7342455 DOI: 10.3760/cma.j.issn.0253-2727.2019.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
目的 采用十色流式细胞术监测多发性骨髓瘤(MM)患者治疗后骨髓微小残留病(MRD),探讨其对MM患者预后的预测价值。 方法 回顾性分析2015年7月至2017年7月苏州大学附属第一医院收治的150例MM患者的临床资料,十色流式细胞术检测MRD水平。 结果 ①诱导治疗结束后采用十色流式细胞术监测MRD的87例MM患者中,MRD阴性者34例(39.1%)。自体造血干细胞移植后1年内行十色流式细胞术监测MRD的69例患者中,MRD阴性者34例(49.3%),诱导治疗结束和移植后MRD阴性患者的无进展生存(PFS)期优于MRD阳性患者(未达到对21个月,P=0.022;未达到对18个月,P<0.001)。②根据移植前后MRD的动态改变将MM患者分为MRD持续阴性、阳性转阴性、持续阳性、阴性转阳性四组,四组的2年PFS率分别为83%、82%、44%、0(P=0.002)。③多因素分析显示诱导治疗结束后的MRD水平是影响PFS的独立预后因素[P=0.002,HR=4.808(95%CI 1.818~12.718)]。 结论 治疗后MRD转阴提示更好的临床预后,MRD水平对于MM患者的预后价值优于血清学疗效评估,可以联合R-ISS分期及细胞遗传学异常评估患者预后。
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Affiliation(s)
- W Q Yao
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Suzhou 215006, China
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Li Q, Li QC, Cao RT, Wang X, Chen RT, Liu K, Fan L, Xiao Y, Zhang ZT, Fu CC, Song Q, Liu W, Fang Q, Liu SY. Detectability of pulmonary nodules by deep learning: results from a phantom study. ACTA ACUST UNITED AC 2019. [DOI: 10.1007/s42058-019-00015-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Yang F, Cai WZ, Huang XW, Xue SL, Fu CC, Tang XW, Sun AN, Wu DP, Qiu HY. [Comparison of efficacy of first-line administration of generic dasatinib or imatinib in patients with Philadelphia chromosome positive acute lymphoblastic leukemia treated by hematopoietic stem cell transplantation]. Zhonghua Xue Ye Xue Za Zhi 2019; 39:661-667. [PMID: 30180468 PMCID: PMC7342843 DOI: 10.3760/cma.j.issn.0253-2727.2018.08.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the efficacy of first-line administration of generic dasatinib or first-generation TKI (imatinib) in patients with Philadelphia chromosome positive acute lymphoblastic leukemia (Ph(+) ALL) treated by hematopoietic stem cell transplantation (HSCT). Methods: Clinical features and prognoses of 63 newly diagnosed Ph(+) ALL patients from Jan 2014 to June 2017 treated by HSCT combined with first-line administration of generic dasatinib or imatinib were retrospective analyzed. Results: Of 63 Ph(+) ALL patients, 31 cases were administered generic dasatinib, and the other 32 ones imatinib. Complete remission (CR) rates at the fourth week of induction therapy in generic dasatinib and imatinib groups were 96.8% and 93.8% (P=1.000) , respectively. Meanwhile major molecular response (MMR; BCR-ABL/ABL reduce 3log) rates were 41.9% and 43.8% (χ(2)=0.021, P=0.884), respectively. Relapse rates before transplantation were 6.5% and 12.5% (P=0.672), respectively. MMR rates before HSCT were 83.9% and 68.8% (χ(2)=1.985, P=0.159), respectively. The 20-monthes overall survival (OS) rates of generic dasatinib and imatinib groups were 95.5% and 76.5% (χ(2)=0.990, P=0.320) respectively; 20-monthes event-free survival (EFS) rates were 93.5% and 61.4% (χ(2)=5.926, P=0.015), respectively. Statistically significant differences of EFS were reached. Multiple factors analysis showed that generic dasatinib (HR=0.201, 95% CI 0.045-0.896, P=0.035) and MMR before transplantation (HR=0.344, 95% CI 0.124-0.956, CI=0.041) could improve EFS. Conclusions: First-line administration of generic dasatinib could improve EFS for Ph(+)ALL patients treated by HSCT when compered with imatinib.
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Affiliation(s)
- F Yang
- Jiangsu Institute of Hematology, the First Affiliated Hospital of Soochow University, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, Jiangsu Clinical Medicine Center, Suzhou 215006, China
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Liu LM, Zhang YM, Zhou HF, Wang QY, Qiu HY, Tang XW, Han Y, Fu CC, Jin ZM, Sun AN, Miao M, Wu DP. [Outcome of combination of HLA-haploidentical hematopoietic SCT with an unrelated cord blood unit for 127 patients with acquired severe aplastic anemia]. Zhonghua Xue Ye Xue Za Zhi 2019; 39:624-628. [PMID: 30180460 PMCID: PMC7342829 DOI: 10.3760/cma.j.issn.0253-2727.2018.08.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
目的 评价单倍型造血干细胞移植(haplo-HSCT)联合第三方脐血干细胞移植治疗重型再生障碍性贫血(SAA)的疗效及安全性。 方法 对2011年9月至2017年4月间接受haplo-HSCT联合第三方脐血干细胞移植的127例SAA患者进行回顾性研究。 结果 全部127例SAA患者中,男74例,女53例,中位年龄23.5(3~54)岁,其中极重型再生障碍性贫血65例。诊断至移植中位时间2(0.5~180)个月。单倍型造血干细胞来源为骨髓+外周血。脐血均选用单份,HLA配型≥4/6相合。127例患者均接受改良Bu/Cy+ATG/ALG预处理方案(白消安+环磷酰胺+抗胸腺细胞球蛋白/抗淋巴细胞球蛋白)。以环孢素A、霉酚酸酯联合短程甲氨蝶呤预防GVHD。回输单倍型供者单个核细胞10.87(3.61~24.00)×108/kg,CD34+细胞3.49(1.02~8.89)×106/kg;回输脐血单个核细胞2.22(1.10~7.30)×107/kg,CD34+细胞0.56(0.16~2.27)×105/kg。127例患者中5例发生早期死亡。在可评估的122例患者中,1例发生原发植入失败,其余121例患者成功植入(均为单倍型造血干细胞植入)。中性粒细胞、血小板植入时间分别为11(9~28)d、15(9~330)d,5例患者发生血小板植入不良。移植过程中74例(58.27%)发生感染。存活患者中位随访20.5(4.0~60.0)个月,Ⅱ~Ⅳ度急性GVHD发生率为24.79%(30/121),中/重度慢性GVHD发生率为14.15%(15/106),预期4年总生存率为(78.5±4.3)%,无失败生存率为(77.4±4.3)%。 结论 haplo-HSCT联合第三方脐血干细胞移植治疗SAA疗效确切且安全性较好,在无全相合供者情况下可作为有价值的治疗选择。
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Affiliation(s)
- L M Liu
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, Collaborative Innovation Center of Hematology, Suzhou 215006, China
| | | | | | | | | | | | | | | | | | | | - M Miao
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, Collaborative Innovation Center of Hematology, Suzhou 215006, China
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Li WY, Feng YF, Ma X, Qiu HY, Fu CC, Tang XW, Han Y, Wu DP, Sun AN. [Comparison of the efficacy of decitabine combined with micro-transplantation or priming regimen as consolidation treatment for older patients with acute myeloid leukemia]. Zhonghua Xue Ye Xue Za Zhi 2019; 39:305-309. [PMID: 29779327 PMCID: PMC7342141 DOI: 10.3760/cma.j.issn.0253-2727.2018.04.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
目的 探索老年急性髓系白血病(AML)第1次完全缓解(CR1)后采用地西他滨联合微移植巩固治疗的疗效与安全性。 方法 回顾性分析2012年11月至2015年9月诊治的37例CR1老年(≥60岁)AML患者病例资料,比较分析地西他滨联合微移植(微移植组,19例)与地西他滨联合预激方案巩固治疗(化疗组,18例)的疗效和不良反应。 结果 两组患者起病时的年龄、WBC水平、疾病状态差异均无统计学意义(P值均>0.05)。两种巩固治疗方案的耐受性均良好,微移植组与化疗组的CTC 3~4级非血液学不良反应发生率差异无统计学意义[36.8%(7/19)对27.8%(5/18),χ2=0.347,P=0.728]。微移植组与化疗组中性粒细胞恢复的中位时间分别为12和13 d(z=1.599,P=0.110),血小板恢复的中位时间分别为14和12 d(z=−1.314,P=0.189)。微移植组患者均未发生移植物抗宿主病。微移植组与化疗组的2年无白血病生存率分别为50.7%和24.3%(P=0.047),2年总生存率分别为54.9%和30.0%(P=0.071)。 结论 对于老年AML患者,地西他滨联合微移植可能是一种安全有效的巩固方案。
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Affiliation(s)
- W Y Li
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Suzhou 215006, China
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Wang QL, Huang HW, Jin ZM, Tang XW, Qiu HY, Fu CC, Han Y, Miao M, Chang HR, Sun AN, Wu DP. [Comparison of allogeneic or autologous hematopoietic stem cell transplant for high-risk peripheral T cell lymphomas]. Zhonghua Xue Ye Xue Za Zhi 2018; 37:952-956. [PMID: 27995879 PMCID: PMC7348511 DOI: 10.3760/cma.j.issn.0253-2727.2016.11.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
目的 比较自体造血干细胞移植(auto-HSCT)和异基因造血干细胞移植(allo-HSCT)治疗高危外周T细胞淋巴瘤(PTCL)疗效的差异。 方法 回顾性分析苏州大学附属第一医院60例接受HSCT治疗的高危PTCL患者临床资料。 结果 60例PTCL患者均为高危组患者(IPI评分≥3分),接受移植时中位年龄31 (12~58)岁。包括PTCL非特指型22例、ALK阴性的间变大细胞淋巴瘤22例、血管免疫母细胞淋巴瘤16例。其中接受auto-HSCT的有39例(63.5%),接受allo-HSCT的有21例(36.5%)。移植前40例完全缓解(CR),2例部分缓解(PR),18例未缓解(NR)。40例CR患者中10例接受allo-HSCT, 30例接受auto-HSCT。20例PR+NR患者中11例接受allo-HSCT, 9例接受auto-HSCT。移植后中位随访时间为39 (1~96)个月,auto-HSCT和allo-HSCT组的5年无进展生存率分别为61%和60%(P=0.724)。auto-HSCT和allo-HSCT组的5年总生存率分别为62%和61%(P=0.724)。auto-HSCT和allo-HSCT组的5年移植相关死亡率分别为22.7%和41.8%(P=0.250)。截至末次随访时间,auto-HSCT中7例患者复发,allo-HSCT组中2例复发,auto-HSCT和allo-HSCT组的5年累计复发率分别为37.2%和10.1%(P=0.298)。 结论 高危PTCL患者选择auto-HSCT或allo-HSCT治疗长期生存无明显差异,但allo-HSCT组患者移植前多为NR状态,表明对于NR患者,allo-HSCT效果可能较好。
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Affiliation(s)
- Q L Wang
- Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Key Laboratory of Thrombosis and Hemstasis of Ministry of Health, Collaborative Innovation Center of Hematology, Suzhou 215006, China
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Liu D, Ke P, Huo L, Hu XH, Fu CC, Li CX, Huang HW, Xue SL, Qiu HY, Wu DP, Ma X. [Safety and efficacy of chimeric antigen receptor T cell in the treatment of elderly patients with hematological malignancies]. Zhonghua Xue Ye Xue Za Zhi 2018; 39:952-955. [PMID: 30486596 PMCID: PMC7342352 DOI: 10.3760/cma.j.issn.0253-2727.2018.11.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Indexed: 11/12/2022]
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - X Ma
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health, Collaborative Innovation Center of Hematology, Suzhou 215006, China
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Tomlinson B, Chan JCN, Chan WB, Chen WWC, Chow FCC, Li SK, Kong APS, Ma RCW, Siu DCW, Tan KCB, Wong LKS, Yeung VTF, But BWM, Cheung PT, Fu CC, Tung JYL, Wong WC, Yau HC. Guidance on the management of familial hypercholesterolaemia in Hong Kong: an expert panel consensus viewpoint. Hong Kong Med J 2018; 24:408-415. [DOI: 10.12809/hkmj187215] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
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Yan LZ, Chen SN, He XF, Zhao Y, Zhang XY, Wu LL, Ping NN, Xu XY, Sun AN, Qiu HY, Tang XW, Han Y, Fu CC, Jin ZM, Miao M, Wu DP. [Expression level and clinical significance of MEF2C gene in adult acute myeloid leukemia]. Zhonghua Xue Ye Xue Za Zhi 2018; 39:682-685. [PMID: 30180473 PMCID: PMC7342833 DOI: 10.3760/cma.j.issn.0253-2727.2018.08.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/21/2018] [Indexed: 11/05/2022]
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Fu CC, Jin S, Wu DP. [The guidelines for the diagnosis and management of multiple myeloma in China (2017 revision): interpretation of initial treatment]. Zhonghua Nei Ke Za Zhi 2017; 56:798-799. [PMID: 29136705 DOI: 10.3760/cma.j.issn.0578-1426.2017.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
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Yeh EC, Fu CC, Hu L, Thakur R, Feng J, Lee LP. Self-powered integrated microfluidic point-of-care low-cost enabling (SIMPLE) chip. Sci Adv 2017; 3:e1501645. [PMID: 28345028 PMCID: PMC5362183 DOI: 10.1126/sciadv.1501645] [Citation(s) in RCA: 204] [Impact Index Per Article: 29.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2015] [Accepted: 02/09/2017] [Indexed: 05/07/2023]
Abstract
Portable, low-cost, and quantitative nucleic acid detection is desirable for point-of-care diagnostics; however, current polymerase chain reaction testing often requires time-consuming multiple steps and costly equipment. We report an integrated microfluidic diagnostic device capable of on-site quantitative nucleic acid detection directly from the blood without separate sample preparation steps. First, we prepatterned the amplification initiator [magnesium acetate (MgOAc)] on the chip to enable digital nucleic acid amplification. Second, a simplified sample preparation step is demonstrated, where the plasma is separated autonomously into 224 microwells (100 nl per well) without any hemolysis. Furthermore, self-powered microfluidic pumping without any external pumps, controllers, or power sources is accomplished by an integrated vacuum battery on the chip. This simple chip allows rapid quantitative digital nucleic acid detection directly from human blood samples (10 to 105 copies of methicillin-resistant Staphylococcus aureus DNA per microliter, ~30 min, via isothermal recombinase polymerase amplification). These autonomous, portable, lab-on-chip technologies provide promising foundations for future low-cost molecular diagnostic assays.
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Affiliation(s)
- Erh-Chia Yeh
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA
- Berkeley Sensor and Actuator Center, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Chi-Cheng Fu
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA
- Berkeley Sensor and Actuator Center, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Lucy Hu
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Rohan Thakur
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Jeffrey Feng
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Luke P. Lee
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA
- Berkeley Sensor and Actuator Center, University of California, Berkeley, Berkeley, CA 94720, USA
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720, USA
- Biophysics Graduate Program, University of California, Berkeley, Berkeley, CA 94720, USA
- Corresponding author.
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Ren Y, Zhou BQ, Xu Y, Fu CC, Shen HJ, Ding ZX, Wu DP. [The clinical features of patients with lymphoplasmacytic diseases harboring MyD88 L265P mutation]. Zhonghua Xue Ye Xue Za Zhi 2016; 37:1054-1059. [PMID: 28088969 PMCID: PMC7348489 DOI: 10.3760/cma.j.issn.0253-2727.2016.12.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2016] [Indexed: 12/03/2022]
Abstract
Objective: To explore the clinical features of lymphoplasmacytic diseases with MyD88 L265P mutation. Methods: To analyze the distribution of MYD88 L265P mutation in patients with lymphoplasmacytic diseases by using of ARMS PCR-CE. Results: There were 25(30.9%) MyD88 L265P mutated patients in 81 patients. The mutation was frequently observed in 14 patients with WM (77.8%, 14/18), 2 patients with lymphoplasmacytic lymphoma (66.7%, 2/3), 1 acute lymphocytic leukemia patient (50.0%, 1/2), 3 multiple myeloma patients (30.0%, 3/10), 1 patient with monoclonal gammopathy of undetermined significance (25%, 1/4), 3 patients with chronic lymphocytic leukemia (13.0%, 3/23) and 1 lymphoma patient (4.8%, 1/21). 20 (80%, 20/25) patients were identified with IgM subtype. Compared with wild-type group of 56 cases, mutated patients were older (median age: 67 years vs 55 years, P< 0.001), with lower WBC count (median count: 5.23 × 109/L vs 10.80 × 109/L, P=0.001), lower HGB level (median count: 85 g/L vs 119 g/L, P<0.001). Conclusion: MyD88 L265P mutation was mainly observed in patients with IgM subtype lymphoplasmacytic diseases, and Waldenstrom' s macroglobulinemia was the most common disease. Compared with the wild-type group, patients with MyD88 L265P mutation were older and had lower WBC count, lower level of HGB. However, further studies were needed to test the prognostic value of MyD88 L265P mutation.
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Affiliation(s)
- Y Ren
- First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis under Ministry of Health, Collaborative Innovation Center of Hematology, Institute of Blood and Marrow Transplantation, Soochow University, Suzhou 215006, China
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Wang PF, Xu Y, Yan S, Yao Y, Zheng HF, Ma L, Jin S, Xu Y, Gong FR, Zhou JZ, Chang HR, Fu CC. [The roles of serum free light chain ratio in the diagnosis and prognosis of newly diagnosed multiple myeloma]. Zhonghua Xue Ye Xue Za Zhi 2016; 37:377-82. [PMID: 27210871 PMCID: PMC7348314 DOI: 10.3760/cma.j.issn.0253-2727.2016.05.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
目的 分析血清游离轻链(sFLC)κ/λ比率(sFLCR)在初诊多发性骨髓瘤(MM)患者诊断和预后中的作用。 方法 回顾性分析2012年9月至2015年7月收治的82例初诊MM患者的临床资料,采用血清蛋白电泳(SPE)和免疫固定电泳(IFE)法检测血清单克隆蛋白(M蛋白)的表达,采用免疫比浊法检测sFLCκ、λ的表达水平,分析初诊时sFLCR在MM患者诊断和预后中的作用。 结果 初诊时82例患者中SPE法检测M蛋白阳性率为85.5%,IFE法检测M蛋白阳性率为93.9%,sFLC异常以及sFLCR异常者占96.3%。初诊时高比率组(sFLCR≥100或≤0.01,42例)与低比率组(0.01 <sFLCR<100,40例)患者40个月的总生存率分别为87%和61%,差异有统计学意义(P=0.034)。与低比率组患者比较,高比率组患者初诊时血肌酐值、浆细胞数、β2微球蛋白增高,血红蛋白降低,肾功能不全及需要透析者、DS分期Ⅲ期B组者、ISS分期Ⅲ期者、FISH检查异常者、λ轻链异常者较多,κ轻链异常者较少(P值均<0.05)。两组患者经过3~4个疗程诱导治疗后,高比率组和低比率组患者的治疗有效率(非常好的部分缓解及其以上)差异有统计学意义(45.2%对72.5%,P=0.012)。初诊肾功能不全者(肌酐≥178 µmol/L, 14例)与肾功能正常者(68例)的2年总生存率差异无统计学意义(85.7%对91.2%,P=0.894)。 结论 初诊时sFLC的检测相对于SPE和IFE法检测M蛋白对诊断MM有更高的敏感性;初诊时sFLCR明显异常的患者可能具有更高的肿瘤负荷和更强的侵袭性,可提示患者预后不良;初诊时伴有肾功能不全的MM患者经积极治疗后可获得与肾功能正常患者同样的疗效。
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Affiliation(s)
- P F Wang
- First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Key Laboratory of thrombosis and hemostasis of Ministry of health , Hematology Collaborative Innovation Center , Suzhou 215006, China
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Gu B, Chen GH, Shen HJ, Ma X, Fu CC, Han Y, Tang XW, Miao M, Qiu HY, Sun AN, Wu DP. [Improved clinical outcome of acute myeloid leukemia with FLT3-ITD mutation treated with sorafenib]. Zhonghua Nei Ke Za Zhi 2016; 55:293-7. [PMID: 27030618 DOI: 10.3760/cma.j.issn.0578-1426.2016.04.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To analyze the efficacy of sorafenib on the treatment of patients diagnosed as acute myeloid leukemia(AML) with FLT3-ITD mutation. METHODS From January 2012 to February 2015, 42 cases of AML with FLT3-ITD mutation according to MICM (morphology, immunology, cytogenetics and molecular) diagnosis system in our hospital were retrospectively analyzed. Thirty-two cases were refractory to chemotherapy or relapsed, who were treated with sorafenib or combined with chemotherapy. Ten patients relapsed after allogeneic hematopoietic stem cell transplantation (allo-HSCT), who were retreated with sorafenib or combined with donor lymphocyte infusion (DLI) or chemotherapy. In the first group, 13 of 32 patients accepted allo-HSCT. RESULTS The overall response rate of all 42 patients was 73.8%, including 4 (9.5%) complete molecular remission (CMR), 9 (21.4%) complete remission (CR), 8 (19%) complete remission with incomplete hematologic recovery (CRi), 10 (23.8%) partial remission (PR), and 11 (26.2%) none remission (NR). The response rate of sorafenib alone for 17 patients was 70.6%, and that of sorafenib plus chemotherapy was 66.7% (P=0.555). Thirteen patients who received allo-HSCT included 6 CMR/CR/CRi, 4 PR, and 3 NR before transplant. The 2-year overall survival (OS) rate and progress free survival (PFS) rate in all patients were 36.9% and 28.7%, and the corresponding median time were 18 months and 9 months respectively. The 2-year OS rate in 23 patients who received sorafenib combined with allo-HSCT was superior to that in 19 patients not receiving allo-HSCT (45.5% vs 23.9%, P=0.041), so was PFS rate (44.0% vs 9.7%, P=0.014). Twelve cases died of disease progression, four of infection, and one of chronic graft versus host disease after transplant. CONCLUSIONS Sorafenib combined with chemotherapy improves response rate of AML patients with FLT3-ITD mutation. Those who are treated with sorafenib plus allo-HSCT obtain better long-term survival.
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Affiliation(s)
- B Gu
- The First Affiliated Hospital of Soochow University, Jiangsu Institute of Hematology, Collaborative Innovation Center of Hematology, Suzhou Institute of Blood and Marrow Transplantation, Suzhou 215006, China
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Yang CP, Fu CC, Sugino K, Liu Z, Ren Q, Liu LY, Yao X, Lee LP, Lee T. Transcriptomes of lineage-specific Drosophila neuroblasts profiled by genetic targeting and robotic sorting. Development 2015; 143:411-21. [PMID: 26700685 DOI: 10.1242/dev.129163] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Accepted: 12/11/2015] [Indexed: 12/21/2022]
Abstract
A brain consists of numerous distinct neurons arising from a limited number of progenitors, called neuroblasts in Drosophila. Each neuroblast produces a specific neuronal lineage. To unravel the transcriptional networks that underlie the development of distinct neuroblast lineages, we marked and isolated lineage-specific neuroblasts for RNA sequencing. We labeled particular neuroblasts throughout neurogenesis by activating a conditional neuroblast driver in specific lineages using various intersection strategies. The targeted neuroblasts were efficiently recovered using a custom-built device for robotic single-cell picking. Transcriptome analysis of mushroom body, antennal lobe and type II neuroblasts compared with non-selective neuroblasts, neurons and glia revealed a rich repertoire of transcription factors expressed among neuroblasts in diverse patterns. Besides transcription factors that are likely to be pan-neuroblast, many transcription factors exist that are selectively enriched or repressed in certain neuroblasts. The unique combinations of transcription factors present in different neuroblasts may govern the diverse lineage-specific neuron fates.
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Affiliation(s)
- Ching-Po Yang
- Howard Hughes Medical Institute, Janelia Research Campus, 19700 Helix Drive, Ashburn, VA 20147, USA
| | - Chi-Cheng Fu
- Howard Hughes Medical Institute, Janelia Research Campus, 19700 Helix Drive, Ashburn, VA 20147, USA Departments of Bioengineering, Electrical Engineering and Computer Science, and Biophysics Graduate Program, University of California, Berkeley, CA 94720, USA
| | - Ken Sugino
- Howard Hughes Medical Institute, Janelia Research Campus, 19700 Helix Drive, Ashburn, VA 20147, USA
| | - Zhiyong Liu
- Howard Hughes Medical Institute, Janelia Research Campus, 19700 Helix Drive, Ashburn, VA 20147, USA
| | - Qingzhong Ren
- Howard Hughes Medical Institute, Janelia Research Campus, 19700 Helix Drive, Ashburn, VA 20147, USA
| | - Ling-Yu Liu
- Howard Hughes Medical Institute, Janelia Research Campus, 19700 Helix Drive, Ashburn, VA 20147, USA
| | - Xiaohao Yao
- Howard Hughes Medical Institute, Janelia Research Campus, 19700 Helix Drive, Ashburn, VA 20147, USA
| | - Luke P Lee
- Departments of Bioengineering, Electrical Engineering and Computer Science, and Biophysics Graduate Program, University of California, Berkeley, CA 94720, USA
| | - Tzumin Lee
- Howard Hughes Medical Institute, Janelia Research Campus, 19700 Helix Drive, Ashburn, VA 20147, USA
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Liu Z, Yang CP, Sugino K, Fu CC, Liu LY, Yao X, Lee LP, Lee T. Opposing intrinsic temporal gradients guide neural stem cell production of varied neuronal fates. Science 2015; 350:317-20. [PMID: 26472907 DOI: 10.1126/science.aad1886] [Citation(s) in RCA: 86] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Neural stem cells show age-dependent developmental potentials, as evidenced by their production of distinct neuron types at different developmental times. Drosophila neuroblasts produce long, stereotyped lineages of neurons. We searched for factors that could regulate neural temporal fate by RNA-sequencing lineage-specific neuroblasts at various developmental times. We found that two RNA-binding proteins, IGF-II mRNA-binding protein (Imp) and Syncrip (Syp), display opposing high-to-low and low-to-high temporal gradients with lineage-specific temporal dynamics. Imp and Syp promote early and late fates, respectively, in both a slowly progressing and a rapidly changing lineage. Imp and Syp control neuronal fates in the mushroom body lineages by regulating the temporal transcription factor Chinmo translation. Together, the opposing Imp/Syp gradients encode stem cell age, specifying multiple cell fates within a lineage.
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Affiliation(s)
- Zhiyong Liu
- Howard Hughes Medical Institute, Janelia Research Campus, 19700 Helix Drive, Ashburn, VA, USA
| | - Ching-Po Yang
- Howard Hughes Medical Institute, Janelia Research Campus, 19700 Helix Drive, Ashburn, VA, USA
| | - Ken Sugino
- Howard Hughes Medical Institute, Janelia Research Campus, 19700 Helix Drive, Ashburn, VA, USA
| | - Chi-Cheng Fu
- Howard Hughes Medical Institute, Janelia Research Campus, 19700 Helix Drive, Ashburn, VA, USA. Departments of Bioengineering, Electrical Engineering, and Computer Science, and Biophysics Graduate Program, University of California Berkeley, 408C Stanley Hall, Berkeley, CA, USA
| | - Ling-Yu Liu
- Howard Hughes Medical Institute, Janelia Research Campus, 19700 Helix Drive, Ashburn, VA, USA
| | - Xiaohao Yao
- Howard Hughes Medical Institute, Janelia Research Campus, 19700 Helix Drive, Ashburn, VA, USA
| | - Luke P Lee
- Departments of Bioengineering, Electrical Engineering, and Computer Science, and Biophysics Graduate Program, University of California Berkeley, 408C Stanley Hall, Berkeley, CA, USA
| | - Tzumin Lee
- Howard Hughes Medical Institute, Janelia Research Campus, 19700 Helix Drive, Ashburn, VA, USA.
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Diaz JA, Choi I, Fu CC, Lee SH, Lee LP. On-Chip Fast Plasmonic Detection of Single Molecule Mirna for Cancer Diagnosis. Biophys J 2014. [DOI: 10.1016/j.bpj.2013.11.3415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Digman MA, Fu CC, Ossato G, Lee LP, Gratton E, Khine M. Biometallic Nano-Structures: A Thousand-Fold Fluorescence Enhancement with Nanopetals. Biophys J 2010. [DOI: 10.1016/j.bpj.2009.12.4092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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Lin PK, Lin KH, Fu CC, Lee KC, Wei PK, Pai WW, Tsao PH, Chen YL, Fann WS. One-Dimensional Dynamics and Transport of DNA Molecules in a Quasi-Two-Dimensional Nanoslit. Macromolecules 2009. [DOI: 10.1021/ma8021037] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Po-Keng Lin
- Department of Physics, National Taiwan University, Taipei 10617, Taiwan, Republic of China; Institute of Physics, Research Center for Applied Sciences, and Institute of Atomic and Molecular Science, Academia Sinica, Taipei 11529, Taiwan, Republic of China; and Center for Condensed Matter Sciences and Institute of Polymer Science and Engineering, National Taiwan University, Taipei 10617, Taiwan, Republic of China
| | - Keng-hui Lin
- Department of Physics, National Taiwan University, Taipei 10617, Taiwan, Republic of China; Institute of Physics, Research Center for Applied Sciences, and Institute of Atomic and Molecular Science, Academia Sinica, Taipei 11529, Taiwan, Republic of China; and Center for Condensed Matter Sciences and Institute of Polymer Science and Engineering, National Taiwan University, Taipei 10617, Taiwan, Republic of China
| | - Chi-Cheng Fu
- Department of Physics, National Taiwan University, Taipei 10617, Taiwan, Republic of China; Institute of Physics, Research Center for Applied Sciences, and Institute of Atomic and Molecular Science, Academia Sinica, Taipei 11529, Taiwan, Republic of China; and Center for Condensed Matter Sciences and Institute of Polymer Science and Engineering, National Taiwan University, Taipei 10617, Taiwan, Republic of China
| | - K.-C. Lee
- Department of Physics, National Taiwan University, Taipei 10617, Taiwan, Republic of China; Institute of Physics, Research Center for Applied Sciences, and Institute of Atomic and Molecular Science, Academia Sinica, Taipei 11529, Taiwan, Republic of China; and Center for Condensed Matter Sciences and Institute of Polymer Science and Engineering, National Taiwan University, Taipei 10617, Taiwan, Republic of China
| | - Pei-Kuen Wei
- Department of Physics, National Taiwan University, Taipei 10617, Taiwan, Republic of China; Institute of Physics, Research Center for Applied Sciences, and Institute of Atomic and Molecular Science, Academia Sinica, Taipei 11529, Taiwan, Republic of China; and Center for Condensed Matter Sciences and Institute of Polymer Science and Engineering, National Taiwan University, Taipei 10617, Taiwan, Republic of China
| | - Woei-Wu Pai
- Department of Physics, National Taiwan University, Taipei 10617, Taiwan, Republic of China; Institute of Physics, Research Center for Applied Sciences, and Institute of Atomic and Molecular Science, Academia Sinica, Taipei 11529, Taiwan, Republic of China; and Center for Condensed Matter Sciences and Institute of Polymer Science and Engineering, National Taiwan University, Taipei 10617, Taiwan, Republic of China
| | - Pei-Hsi Tsao
- Department of Physics, National Taiwan University, Taipei 10617, Taiwan, Republic of China; Institute of Physics, Research Center for Applied Sciences, and Institute of Atomic and Molecular Science, Academia Sinica, Taipei 11529, Taiwan, Republic of China; and Center for Condensed Matter Sciences and Institute of Polymer Science and Engineering, National Taiwan University, Taipei 10617, Taiwan, Republic of China
| | - Y.-L. Chen
- Department of Physics, National Taiwan University, Taipei 10617, Taiwan, Republic of China; Institute of Physics, Research Center for Applied Sciences, and Institute of Atomic and Molecular Science, Academia Sinica, Taipei 11529, Taiwan, Republic of China; and Center for Condensed Matter Sciences and Institute of Polymer Science and Engineering, National Taiwan University, Taipei 10617, Taiwan, Republic of China
| | - W. S. Fann
- Department of Physics, National Taiwan University, Taipei 10617, Taiwan, Republic of China; Institute of Physics, Research Center for Applied Sciences, and Institute of Atomic and Molecular Science, Academia Sinica, Taipei 11529, Taiwan, Republic of China; and Center for Condensed Matter Sciences and Institute of Polymer Science and Engineering, National Taiwan University, Taipei 10617, Taiwan, Republic of China
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Lim TS, Fu CC, Lee KC, Lee HY, Chen K, Cheng WF, Pai WW, Chang HC, Fann W. Fluorescence enhancement and lifetime modification of single nanodiamonds near a nanocrystalline silver surface. Phys Chem Chem Phys 2009; 11:1508-14. [DOI: 10.1039/b817471g] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Chang YR, Lee HY, Chen K, Chang CC, Tsai DS, Fu CC, Lim TS, Tzeng YK, Fang CY, Han CC, Chang HC, Fann W. Mass production and dynamic imaging of fluorescent nanodiamonds. Nat Nanotechnol 2008; 3:284-8. [PMID: 18654525 DOI: 10.1038/nnano.2008.99] [Citation(s) in RCA: 392] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2008] [Accepted: 04/03/2008] [Indexed: 05/20/2023]
Abstract
Fluorescent nanodiamond is a new nanomaterial that possesses several useful properties, including good biocompatibility, excellent photostability and facile surface functionalizability. Moreover, when excited by a laser, defect centres within the nanodiamond emit photons that are capable of penetrating tissue, making them well suited for biological imaging applications. Here, we show that bright fluorescent nanodiamonds can be produced in large quantities by irradiating synthetic diamond nanocrystallites with helium ions. The fluorescence is sufficiently bright and stable to allow three-dimensional tracking of a single particle within the cell by means of either one- or two-photon-excited fluorescence microscopy. The excellent photophysical characteristics are maintained for particles as small as 25 nm, suggesting that fluorescent nanodiamond is an ideal probe for long-term tracking and imaging in vivo, with good temporal and spatial resolution.
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Lin PK, Fu CC, Chen YL, Chen YR, Wei PK, Kuan CH, Fann WS. Static conformation and dynamics of single DNA molecules confined in nanoslits. Phys Rev E Stat Nonlin Soft Matter Phys 2007; 76:011806. [PMID: 17677483 DOI: 10.1103/physreve.76.011806] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2006] [Revised: 03/30/2007] [Indexed: 05/16/2023]
Abstract
Nearly thirty years ago, Daoud and de Gennes derived the scaling predictions for the linear polymer chains trapped in a slit with dimension close to the Kuhn length; however, these predictions have yet to be compared with experiments. We have fabricated nanoslits with vertical dimension similar to the Kuhn length of ds-DNA (110nm) using standard photolithography techniques. Fluorescently labeled single DNA molecules with contour lengths L ranging from 4 to 75 microm were successfully injected into the slits and the chain molecules undergoing Brownian motions were imaged by fluorescence microscopy. The distributions of the chain radius of gyration and the two-dimensional asphericity were measured. It is found that the DNA molecules exhibit highly anisotropic shape and the mean asphericity is chain length independence. The shape anisotropy of DNA in our measurements is between two and three dimensions (2D and 3D). The static scaling law of the chain extension and the radius of gyration <R parallel>, <Rg> approximately L(nu) were observed with nuR(parallel)=0.65+/-0.02 and nu(Rg)=0.68+/-0.05. These results are close to the average value between two (nuR parallel,Rg=0.75) and three (nuR parallel,Rg=0.6) -dimensional theoretical value. The scaling of the extensional and rotational relaxation time are between Rouse model in nanoslits and Zimm model in the bulk solution, respectively. We show that the conformation and chain relaxation of DNA confined in a slit close to Kuhn length exhibit the quasi-two-dimensional behavior.
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Affiliation(s)
- Po-Keng Lin
- Department of Physics, National Taiwan University, Taipei 10617, Taiwan, Republic of China
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Fu CC, Lee HY, Chen K, Lim TS, Wu HY, Lin PK, Wei PK, Tsao PH, Chang HC, Fann W. Characterization and application of single fluorescent nanodiamonds as cellular biomarkers. Proc Natl Acad Sci U S A 2007; 104:727-32. [PMID: 17213326 PMCID: PMC1783382 DOI: 10.1073/pnas.0605409104] [Citation(s) in RCA: 430] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Type Ib diamonds emit bright fluorescence at 550-800 nm from nitrogen-vacancy point defects, (N-V)(0) and (N-V)(-), produced by high-energy ion beam irradiation and subsequent thermal annealing. The emission, together with noncytotoxicity and easiness of surface functionalization, makes nano-sized diamonds a promising fluorescent probe for single-particle tracking in heterogeneous environments. We present the result of our characterization and application of single fluorescent nanodiamonds as cellular biomarkers. We found that, under the same excitation conditions, the fluorescence of a single 35-nm diamond is significantly brighter than that of a single dye molecule such as Alexa Fluor 546. The latter photobleached in the range of 10 s at a laser power density of 10(4) W/cm(2), whereas the nanodiamond particle showed no sign of photobleaching even after 5 min of continuous excitation. Furthermore, no fluorescence blinking was detected within a time resolution of 1 ms. The photophysical properties of the particles do not deteriorate even after surface functionalization with carboxyl groups, which form covalent bonding with polyL-lysines that interact with DNA molecules through electrostatic forces. The feasibility of using surface-functionalized fluorescent nanodiamonds as single-particle biomarkers is demonstrated with both fixed and live HeLa cells.
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Affiliation(s)
- Chi-Cheng Fu
- *Institute of Atomic and Molecular Sciences, Academia Sinica, Taipei 106, Taiwan
| | - Hsu-Yang Lee
- Department of Physics, National Taiwan University, Taipei 106, Taiwan; and
| | - Kowa Chen
- *Institute of Atomic and Molecular Sciences, Academia Sinica, Taipei 106, Taiwan
| | - Tsong-Shin Lim
- *Institute of Atomic and Molecular Sciences, Academia Sinica, Taipei 106, Taiwan
| | - Hsiao-Yun Wu
- *Institute of Atomic and Molecular Sciences, Academia Sinica, Taipei 106, Taiwan
| | - Po-Keng Lin
- Department of Physics, National Taiwan University, Taipei 106, Taiwan; and
| | | | - Pei-Hsi Tsao
- Department of Physics, National Taiwan University, Taipei 106, Taiwan; and
| | - Huan-Cheng Chang
- *Institute of Atomic and Molecular Sciences, Academia Sinica, Taipei 106, Taiwan
- Genomics Research Center, Academia Sinica, Taipei 115, Taiwan
- To whom correspondence may be addressed. E-mail:
or
| | - Wunshain Fann
- *Institute of Atomic and Molecular Sciences, Academia Sinica, Taipei 106, Taiwan
- Department of Physics, National Taiwan University, Taipei 106, Taiwan; and
- To whom correspondence may be addressed. E-mail:
or
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38
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Abstract
OBJECTIVE To study the prevalence of and risk factors for abnormal glucose tolerance in transfusion-dependent beta-thalassemic patients. RESEARCH DESIGN AND METHODS A total of 89 transfusion-dependent beta-thalassemic patients were interviewed. Diabetes was previously diagnosed in 14 of them. In the remaining 75 patients, 68 participated in an oral glucose tolerance test. Potential risk factors were identified using the independent t test, chi2 test, and Fisher's exact test. Logistic regression analysis was used to select the independent risk factors that best predicted abnormal glucose tolerance A two-tailed P value of <0.05 was considered to be statistically significant. RESULTS The prevalence of impaired glucose tolerance was 8.5% (7 of 82) and that of diabetes was 19.5% (16 of 82). Presentation with diabetic ketoacidosis was 31.1% (5 of 16). The risk factors for abnormal glucose tolerance found in transfusion-dependent beta-thalassemic patients were serum ferritin concentration and hepatitis C infection. CONCLUSIONS The interaction of iron overload and hepatitis C infection worsened the prognosis of thalassemic patients. Aggressive iron-chelation therapy as well as prevention and treatment of hepatitis C infection should be mandatory in managing glucose homeostasis in transfusion-dependent beta-thalassemic patients in Taiwan.
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Affiliation(s)
- J P Chern
- Department of Family Medicine, Tao-Yuan Hospital, Taiwan, Republic of China
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39
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Sheu JR, Fu CC, Tsai ML, Chung WJ. Effect of U-995, a potent shark cartilage-derived angiogenesis inhibitor, on anti-angiogenesis and anti-tumor activities. Anticancer Res 1998; 18:4435-41. [PMID: 9891506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
BACKGROUND A potent angiogenesis inhibitor, U-995, has been purified from the cartilage of the blue shark (Prionace glauca). U-995 is composed of two single peptides with molecular mass of 10 and 14 kDa, respectively. MATERIALS AND METHODS U-995 was designed to study human umbilical vein endothelial cell (HUVEC) migration and proliferation in vitro and angiogenesis induced by TNF alpha in chicken chorioallantoic membrane (CAM). Furthermore, we determined the ability of U-995 to inhibiting tumor cell growth and metastasis. RESULTS U-995 (15 and 30 micrograms/ml) markedly inhibited HUVEC migration and, at 15-50 micrograms/ml produced a dose-dependent decline in [3H]-thymidine incorporation. 30 and 50 micrograms/ml of U-995, when added to TNF alpha-induced angiogenesis caused discontinuous and disrupted blood vessels. Moreover, U-995 (30 micrograms/ml) markedly prevented collagenase-induced collagenolysis. In addition, when 200 micrograms U-995 was injected i.p. into mice it suppressed sarcoma-180 cell growth and B16-F10 mouse melanoma cell metastasis in vivo. CONCLUSIONS These results suggest that the anti-angiogenic effects of U-995 may be be due to interference with the proliferation and migration of HUVECs as well as inhibition of collagenolysis, thereby leading to inhibition of both angiogenesis and tumor cell growth.
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MESH Headings
- Allantois
- Animals
- Antineoplastic Agents/isolation & purification
- Antineoplastic Agents/therapeutic use
- Antineoplastic Agents/toxicity
- Cartilage
- Cell Division/drug effects
- Cell Movement/drug effects
- Chick Embryo
- Chorion
- Endothelium, Vascular/cytology
- Endothelium, Vascular/drug effects
- Endothelium, Vascular/physiology
- Humans
- Lung Neoplasms/blood supply
- Lung Neoplasms/prevention & control
- Lung Neoplasms/secondary
- Matrix Metalloproteinase Inhibitors
- Melanoma, Experimental/blood supply
- Melanoma, Experimental/drug therapy
- Melanoma, Experimental/pathology
- Melanoma, Experimental/secondary
- Mice
- Neoplasm Metastasis
- Neovascularization, Pathologic/prevention & control
- Neovascularization, Physiologic/drug effects
- Neovascularization, Physiologic/physiology
- Peptides
- Proteins/isolation & purification
- Proteins/therapeutic use
- Proteins/toxicity
- Sarcoma 180/blood supply
- Sarcoma 180/drug therapy
- Sarcoma 180/pathology
- Sharks
- Thymidine/metabolism
- Tumor Necrosis Factor-alpha/pharmacology
- Umbilical Veins
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Affiliation(s)
- J R Sheu
- Cancer Research Center, Gwo-Chyang GMP Pharmaceutical Co., Ltd., Tainan, Taiwan.
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40
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Chen MS, Kao CS, Fu CC, Chen CJ, Tai TY. Incidence and progression of diabetic retinopathy among non-insulin-dependent diabetic subjects: a 4-year follow-up. Int J Epidemiol 1995; 24:787-95. [PMID: 8550277 DOI: 10.1093/ije/24.4.787] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND To assess the incidence and progression of diabetic retinopathy and explore risk factors associated with them among non-insulin-dependent diabetes mellitus (NIDDM) patients. METHODS A total of 471 NIDDM subjects aged > or 40 were recruited from four primary health care centres of northern Taiwan in 1986 and followed up for 4 years. Their ocular fundi were clearly visible by ophthalmoscopy and the status of diabetic retinopathy could be graded. A structured questionnaire interview was conducted to collect basic data. Overnight fasting venous blood was collected every year to measure the levels of glucose, glycosylated haemoglobin (HbA1c), cholesterol and high density lipoprotein cholesterol. RESULTS Among the 344 subjects who had no retinopathy initially, 66 subjects developed retinopathy 4 years later giving a 4-year cumulative incidence of 19.2%. Of the 120 subjects initially with background or preproliferative retinopathy, evidence of deterioration developed in 36 subjects. The cumulative incidence of progression was 30%. Seven subjects developed proliferative retinopathy giving a cumulative incidence of progression to proliferative retinopathy of 5.8%. The univariate analysis disclosed that the development of retinopathy was correlated with mean fasting blood glucose (MFBG) and HbA1c, diabetic duration, diabetic treatment and residential area. The progression of retinopathy correlated with MFBG and proteinuria, and the progression to proliferative retinopathy correlated with MFBG. Stepwise logistic regression analysis revealed that MFBG and HbA1c were the significant risk factors related to the development of retinopathy. CONCLUSIONS Diabetic control assessed by MFBG or HbA1c was the significant risk factor correlated with the incidence and progression of retinopathy.
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Affiliation(s)
- M S Chen
- Department of Ophthalmology, College of Medicine, National Taiwan University, Taipei, Taiwan
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41
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Abstract
BACKGROUND The role of mitochondrial inheritance in type 2 diabetes mellitus has received much attention recently. In this study, three existing datasets in Taiwan are analysed to examine this theory. METHODS Two of the datasets were community surveys and one a hospital case series. Subjects who had information regarding their paternal or maternal diabetic status were selected for the present study. In the first dataset, 745 subjects had information about paternal diabetic status and 765 had information about maternal diabetic status. In the second dataset, 255 and 267 subjects had the paternal and maternal information, respectively. In the third, a total of 3625 subjects had information about both their paternal and maternal diabetic status. Diabetic status of the study subjects was determined by fasting plasma glucose levels and/or oral glucose tolerance test; their parental diabetic status was collected by interview. RESULTS The three datasets consistently demonstrated a significantly elevated odds ratio (OR) for reporting maternal diabetes (OR = 2.64, 95% confidence interval: 1.12-5.71) in diabetic patients as compared to non-diabetic subjects. The reporting of paternal diabetes, however, was not significantly different between diabetics and non-diabetics. In addition, the OR for reporting paternal diabetes were not significantly different between groups of different age-at-onset. With respect to maternal history, the OR increased significantly when age-at-onset was younger (test-for-trend P < 0.001). CONCLUSIONS Our findings support mitochondrial inheritance of type 2 diabetes mellitus in the human population. The age-modifying effect was also in accordance with the mitochondrial oxidative phosphorylation paradigm for degenerative diseases.
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Affiliation(s)
- R S Lin
- College of Public Health, National Taiwan University, Tapiei
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42
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Song Y, Yao GD, Fu CC. [Retinal S-antigen and retinoblastoma--an immunohistochemical study]. Zhonghua Yan Ke Za Zhi 1994; 30:41-3. [PMID: 8082475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
A strain of monoclonal antibody, MabAgC6, which defines an epitope in S-antigen, was used to study S-antigen expression in 10 cases of retinoblastoma, where S-antigen immunoactivity was observed in different patterns: the "normal" photoreceptor elements incorporated in 3 cases of growing tumors, 3 of 4 fleurettes and E-W rosettes, and scattered tumor cells in 50% of the cases were stained positive. The results suggest that the expression of S-antigen in retinoblastoma may be used to assess the degree of tumor differentiation, as another of the tumor markers.
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Affiliation(s)
- Y Song
- Department of Ophthalmology, Second Clinical College, Norman Bethune University of Medical Sciences, Changchun
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43
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Fu CC, Chang CJ, Tseng CH, Chen MS, Kao CS, Wu TJ, Wu HP, Chuang LM, Chen CJ, Tai TY. Development of macrovascular diseases in NIDDM patients in northern Taiwan. A 4-yr follow-up study. Diabetes Care 1993; 16:137-43. [PMID: 8422768 DOI: 10.2337/diacare.16.1.137] [Citation(s) in RCA: 21] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To assess the development of macrovascular diseases and explore major associative factors in NIDDM. RESEARCH DESIGN AND METHODS A total of 479 NIDDM patients > or = 40 yr of age were recruited from four community primary care health centers of northern Taiwan in July 1986 for a cohort study with a 4-yr follow-up. No patient required insulin therapy within 1 yr of diagnosis nor had a history of diabetic ketoacidosis. All were able to participate independently in the activities of daily living. BP and ECG were measured, and a structured questionnaire was asked of each patient. Venous blood after overnight fasting was collected every year to measure cholesterol, HDL cholesterol, plasma glucose, and HbA1c. RESULTS The duration of diabetes was associated with the development of stroke with a relative risk of 1.063 for every 1-yr increment (P = 0.07). As for HVDs, the significant risk factors were serum cholesterol and HbA1c. For every 1-mg/dl increase in mean total cholesterol level, the relative risk of developing HVD increased 1.016-fold (P = 0.04). For every 1% increase in HbA1c, the relative risk of developing HVD increased 1.170-fold (P = 0.01). With regard to leg VDs, sex and cigarette smoking were significant risk factors. Women diabetic subjects had a higher relative risk than men. Cigarette smoking was significantly associated with leg VD with a relative risk of 6.9 for smokers compared with nonsmokers. The most significant risk factor for LVD was the total cholesterol level. For every 1-mg/dl increase in mean serum cholesterol level, the relative risk of LVD increased 1.013-fold. CONCLUSIONS In the prevention of macrovascular diseases, effective intervention of the nondiabetic cardiovascular risk factors may be as important as or even more important than the good control of diabetes.
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Affiliation(s)
- C C Fu
- Department of Family Medicine, Provincial Tao-Yuan Hospital, Taiwan, Republic of China
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44
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Chen MS, Kao CS, Chang CJ, Wu TJ, Fu CC, Chen CJ, Tai TY. Prevalence and risk factors of diabetic retinopathy among noninsulin-dependent diabetic subjects. Am J Ophthalmol 1992; 114:723-30. [PMID: 1463042 DOI: 10.1016/s0002-9394(14)74051-6] [Citation(s) in RCA: 72] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
In a population-based study in Taiwan, 11,478 subjects aged 40 years or older were screened for diabetes in one urban and five rural areas. Among the 715 subjects proven to have diabetes, 527 subjects underwent ophthalmoscopy. Diabetic retinopathy was present in 184 of the 527 subjects (35.0%), including background diabetic retinopathy in 157 subjects (30.0%), preproliferative diabetic retinopathy in 15 subjects (2.8%), and proliferative diabetic retinopathy in 12 subjects (2.2%). Diabetic retinopathy was correlated with the duration of diabetes and age at onset of diabetes, type of diabetes treatment, higher serum creatinine levels, and lower serum cholesterol levels. Several other factors, including gender, age, residential area, family income, educational level, control and family history of diabetes, body mass index, physical activity, exercise, cigarette smoking, stroke, ischemic heart disease, leg vessel disease, hypertension, and proteinuria, had no significant association with retinopathy. By multiple logistic regression analysis, duration of diabetes was the most important risk factor related to retinopathy. Diabetic subjects treated with insulin had a higher risk of developing retinopathy than those treated with dietary control (relative risk, 1.57; .05 < P < .10). The univariate analysis disclosed that proliferative diabetic retinopathy was related to older age at examination, older age at onset of diabetes, type of diabetes treatment, and presence of leg vessel disease. Insulin-treated diabetic subjects also had a higher risk of proliferative diabetic retinopathy than patients in whom diabetes was controlled by diet, with a relative risk of 2.51 (.05 < P < .10) in the multiple logistic regression analysis.
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Affiliation(s)
- M S Chen
- Department of Ophthalmology, College of Medicine, National Taiwan University, Taipei, Republic of China
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45
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Tchen PH, Fu CC, Chiu HC. Motor-evoked potentials in diabetes mellitus. J Formos Med Assoc 1992; 91:20-3. [PMID: 1352329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/25/2023] Open
Abstract
By using magnetic stimulation of the motor cortex and in the cervical region, conduction time in the central motor pathway was measured in 35 patients with diabetes mellitus (DM) and in 41 control subjects. Motor-evoked potentials (MEPs) were recorded from the contralateral thenar muscles. Central conduction time (CCT) was obtained by subtracting the latency of the spinal MEP from that of the scalp MEP. To compare central and peripheral nerve functions, the motor nerve conduction velocity (MCV) of the median nerve was also tested in patients with DM. In the 35 cases of DM, the mean latency of the cortical MEPs showed a significant increase, compared with normal controls; the mean CCT was also significantly prolonged in the patient group. There was a good correlation between central motor abnormalities and the duration of DM, as well as with impairment of the peripheral nervous system. Latencies of greater than two standard deviations were defined as abnormal. The abnormal rate in patients with DM was 29% for latency of the cortical MEP, 20% for latency of the cervical MEP and 37% for the CCT. In addition, there was a 35% abnormal rate for distal latency of the median MCV and a 40% abnormal rate for the median MCV. These findings support the theory that the metabolic disturbance in DM affects both the central and peripheral nervous systems in man. MEP studies provide objective measurements of central motor pathways.
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Affiliation(s)
- P H Tchen
- Department of Neurology, Provincial Taoyuan General Hospital, Taoyuan, Taipei, Taiwan R.O.C
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46
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Lin HJ, Chiu HC, Tchen PH, Fu CC. Cutaneous thermal thresholds in normal subjects and diabetic patients without symptoms of peripheral neuropathy. J Formos Med Assoc 1990; 89:857-62. [PMID: 1981772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
An automated system operating on the Peltier principle and using a two-alternative forced-choice testing technique was applied to measure the heat and cold thermal thresholds (HT and CT) in 63 normal subjects and 68 diabetic patients who had no clinical symptoms of peripheral neuropathy. To compare large and small nerve fiber functions, 34 of the diabetic group were also tested for vibration perception threshold (VPT) and nerve conduction velocity (NCV). The testing algorithm of the devices selected for used, including reference temperature and number of turns, was investigated for assessment of variability and reliability. The age effect on thermal thresholds was found in the normal group (p less than 0.001). There was a significant difference between HT and CT in an individual (p less than 0.01). CT was greater than HT in 68% of the subjects. The diabetic group had significantly higher thermal thresholds than the normal group (HT, 0.30 +/- 0.32 degree C vs 0.10 +/- 0.05 degree C, p less than 0.005; CT, 0.39 +/- 0.43 degree C vs 0.15 +/- 0.09 degree C, p less than 0.005). Thermal thresholds greater than the linear regression estimate for age plus three standard errors of estimate were defined as abnormal. The abnormality rate in diabetics was 33.8% for HT and 22.1% for CT. Of the 34 patients, 91.1% had abnormal results in at least one of the three tests: 47.1% abnormal for HT or CT, 67.6% for VPT, and 26.4% for NCV. No correlation existed between the thermal threshold and VPT (p greater than 0.05).(ABSTRACT TRUNCATED AT 250 WORDS)
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Affiliation(s)
- H J Lin
- Department of Neurology, National Taiwan University Hospital, Taipei, R.O.C
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47
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Tseng CH, Chang CJ, Fu CC, Chen MS, Kao CS, Wu TJ, Wu HP, Chuang LM, Tai TY. A comparison of diabetic control status between urban and rural diabetic patients in Taiwan. J Formos Med Assoc 1990; 89:666-71. [PMID: 1981228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Between 1985 and 1987, in two urban and five rural areas in Taiwan, a total of 16,636 subjects aged 40 or over were screened for diabetes mellitus according to the WHO criteria. Four hundred and fifty-two previously diagnosed patients and 274 newly diagnosed patients were found. All were non-insulin-dependent diabetics. The blood glucose control status was compared between the urban and rural previously diagnosed diabetics. Those living in the rural areas were found to have better control with a higher percentage under regular treatment. Stepwise multiple regression failed to discover a significant correlation between control status and any of the following factors: sex, age, body mass index (BMI), diabetic duration, treatment regularity, exercise, occupation, education, family income and the presence of hypertension or large vessel diseases. About 30% of the patients in rural areas and 40% in urban areas were poorly controlled. This indicates that our diabetic control program should be strengthened.
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Affiliation(s)
- C H Tseng
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, R.O.C
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48
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Fu CC, Chang CJ, Chiang TL, Chen SH, Jang BR, Lee SD, Hsieh WC. [Utilization and medical cost of patients with different insurance coverage among group practice centers]. J Formos Med Assoc 1990; 89:613-20, 604. [PMID: 1979607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
In order to explore the utilization and medical cost of patients with different insurance coverage in group practice centers, we collected patient data in three centers from September 1, 1987 to February 28, 1988. We classified the payments as self-payment,partial-reimbursement and total-reimbursement. There were 42,234 visits by 8,111 patients. The average frequency of visits within 6 months was 6.1 in total-reimbursement patients, 5.2 in partial-reimbursement patients and 2.6 in self-payment patients. We found that the frequency of visits increased with age in patients with total-reimbursement and partial-reimbursement. On the other hand, the frequency decreased after the age of 65 in patients with self-payment; whether it was related to the economic problems of the elderly needs further study. The highest medical cost per visit was NT$. 343 in total reimbursement patients, followed by NT$. 281 in partial-reimbursement patients. The lowest cost was NT$. 208 in self-payment patients. Yet, the highest ratio of total drug cost by total medical cost per visit was 73.7% in partial-reimbursement patients followed by 63.6% in total-reimbursement patients. The lowest ratio was 56.7% in self-payment patients. Although the partial-reimbursement system could not decrease the ratio of total drug cost by total medical cost per visit, it would be beneficial in group practice centers to decrease the patients' visits and the medical cost per visit. Therefore, this system should be executed in the future.
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Affiliation(s)
- C C Fu
- Department of Family Medicine, Provincial Tao-Yuan General Hospital, Taiwan, R.O.C
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49
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Chang CJ, Fu CC, Chen MS, Yang CL, Chen YJ, Chuang LM, Wu TJ, Tai TY. A comparison of newly and previously diagnosed diabetics in Taiwan. J Formos Med Assoc 1990; 89:264-9. [PMID: 1976742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Between 1985 and 1986, during a population survey of diabetes in 1 urban and 5 rural areas of Taiwan, a total of 11,478 adults aged 40 or older were screened. Capillary whole blood glucose was determined with a glucometer (Ames Co.) The diabetic criteria followed the WHO designations. From this survey, a comparison of 225 newly diagnosed and 383 previously diagnosed diabetics was conducted. Multiple regression analysis revealed a highly significant correlation for all diabetics with regard to age, body mass index, family history and hypertension, but no specific correlation to habitat. Mean fasting glucose levels in previously and newly diagnosed diabetics were 172 and 158 (males 158 vs 147 and females 184 vs 165) mg/dl, respectively, which suggest that treatment is apparently inadequate in this population. The prevalent rate (%) of retinopathy for previously and newly diagnosed diabetics was 45.2 and 28.3 (males 42.8 vs 33.3 and females 47.5 vs 24.8), respectively. The prevalence is as common as those reported in western countries. In conclusion, previously diagnosed diabetics had higher fasting glucose concentrations and prevalent rates of retinopathy than newly diagnosed diabetics, and these findings were particularly prominent in females.
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Affiliation(s)
- C J Chang
- Department of Family Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan, R.O.C
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50
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Tchen PH, Chiu HC, Fu CC. Vibratory perception threshold in diabetic neuropathy. J Formos Med Assoc 1990; 89:23-9. [PMID: 1973706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
A total of 263 diabetic patients and 129 normal controls were enrolled in a study of vibratory perception threshold (VPT) using an electromagnetic vibrometer at two sites, the dorsum of the metacarpal bone of the index finger (IF) and the dorsomedial aspect of the metatarsal bone of the great toe (GT). The results showed that the mean values of VPT for both IF and GT were significantly higher in diabetics than in normal subjects. In both control and diabetic groups, the VPT values at GT only were elevated with increasing age. Furthermore, the mean VPTs at both IF and GT were related to the duration of illness and the severity of diabetes mellitus in the patient group. Eighty cases of diabetes mellitus received nerve stimulation tests including motor and sensory nerve conduction velocities of the upper and lower limbs. The results from these cases demonstrated good correlation between VPT and motor conduction velocity (MCV), but not between VPT and sensory conduction velocity (SCV). There was a negative correlation between VPT at IF and median MCV (p less than 0.0005) in the upper limbs, as well as VPT at GT and tibial MCV (p less than 0.0005) in the lower limbs. For clinical applications, VPT values seemed to be more sensitive than MCV in detecting neuropathic change in diabetic patients. Hence, impairment of vibratory perception can be taken as a subtle clinical sign of diabetic neuropathy, and measurement of VPT can be used as an index of a patient's current subclinical state.
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Affiliation(s)
- P H Tchen
- Department of Neurology, College of Medicine, National Taiwan University, Taipei, R.O.C
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