1.Clinical and imaging manifestations of posterior tibial tendon dysfunction
Yingli REN ; Jie FAN ; Yunhai MO ; Taoming DU
Journal of Practical Radiology 2025;41(6):1017-1020
Objective To explore the clinical and imaging manifestations of posterior tibial tendon dysfunction(PTTD).Methods A retrospective selection was conducted on 61 patients with clinically diagnosed PTTD.According to the classification criteria of Johnson and Strom,8 patients were classified as stage 1,17 as stage 2,20 as stage 3,and 16 as stage 4.The clinical manifestations and imaging features of patients were summarized at each stage.Results Among the 8 patients with stage 1 PTTD,no abnormalities were found on X-ray examination of the weight-bearing foot,while MRI revealed posterior tibial tendon(PTT)tendinitis in 4 cases(50.0%).For stage 2 patients(n=17),X-ray examination of the weight-bearing foot showed a decrease in the longitudinal arch of the foot in 15 patients(88.2%).MRI mainly revealed PTT degeneration in 12 cases(70.6%),PTT tears in 2 cases(11.8%),and other structural injuries in 5 cases(29.4%).For stages 3-4 patients(n=36),X-ray examination of the weight-bearing foot showed flatfoot in all cases.MRI mainly revealed PTT degeneration in 12 cases(33.3%),PTT tears in 24 cases(66.7%),spring ligament injuries in 33 cases(91.7%),and deltoid ligament injuries in 23 cases(63.9%).Conclusion Patients with stage 1 PTTD often have a normal foot longitudinal arch and may present with PTT tendinitis.Middle-aged females are more commonly affected by advanced PTTD,which is characterized by gradual decrease and collapse of the foot arch,accompanied by varying degrees of PTT degeneration and tears.The spring ligament injuries and deltoid ligament are frequently involved in structural injuries associated with PTTD.
2.Feasibility study of low-dose chest CT with deep learning reconstruction algorithm combined with axial scan in children with mycoplasma pneumoniae pneumonia
Linmei HAN ; Yingli REN ; Yiman LI ; Fen HUANG ; Taoming DU
The Journal of Practical Medicine 2025;41(21):3428-3434
Objective To explore the diagnostic value of deep learning image reconstruction(DLIR)com-bined with low-dose chest computed tomography(CT)with axial scan in the diagnosis of mycoplasma pneumoniae pneumonia(MPP)in children,and to provide reference for clinical practice.Methods 160 cases MPP children from February 2024 to June 2025 were selected as study subjects,and low-dose chest CT with axial scan was performed on all patients.DLIR and conventional adaptive iterative reconstruction-V(ASIR-V)were used for image reconstruction.The objective image quality[background noise(SD),signal-to-noise ratio(SNR),and contrast-to-noise ratio(CNR)],subjective image quality,and CT sign detection rate were compared,and the consistency of DLIR and ASIR-V in the diagnosis of MPP severity and clinical diagnosis was compared.Results As the intensity of DLIR and the weight of ASIR increasd,SD gradually decreased,while SNR and CNR gradually increased.The high-strength DLIR(DLIR-H)SD was lower than that of ASIR with a blending level of 80%(ASIR-V80%).The SNR and CNR were higher than those of ASIR-V80%,showing statistical significance(P<0.05).Ridit test showed that DLIR-H had the best subjective image quality score under different DLIR intensities,and ASIR-V80%had the best subjective image quality score under different ASIR weights.Furthermore,the subjective image quality score of DLIR-H was higher that of ASIR-V80%,and the differences were statistically significant(P<0.05).Using DLIR-H,the detection rates of air bronchogram,pulmonary consolidation,and interstitial infiltration(69.38%,86.88%,20.63%,respectively)were higher than those using ASIR-V80%(50.00%,71.88%,7.50%,respectively),and the differences were statistically significant(P<0.05).Consistency analysis showed that the Kappa value between the diagnostic results of MPP severity using DLIR-H and clinical diagnosis was 0.856(95%CI:0.771~0.996),while that between the diagnostic results of MPP severity using ASIR-V80%and clinical diagnosis was 0.498(95%CI:0.346~0.650).ROC analysis showed that the area under the curve(AUC)for diagnosing MPP severity was 0.925(95%CI:0.872~0.960)for DLIR-H and 0.729(95%CI:0.653~0.796)for ASIR-V80%,and the diagnostic value of DLIR-H was superior to that of ASIR-V80%(Z=3.952,P<0.001).Conclusion DLIR can effectively improve image quality.DLIR-H combined with low-dose chest CT with axial scan has high diagnostic value for the severity of MPP,and can serve as a feasible solution for clinical diagnosis of MPP severity and reducing radiation dose.
3.Feasibility study of low-dose chest CT with deep learning reconstruction algorithm combined with axial scan in children with mycoplasma pneumoniae pneumonia
Linmei HAN ; Yingli REN ; Yiman LI ; Fen HUANG ; Taoming DU
The Journal of Practical Medicine 2025;41(21):3428-3434
Objective To explore the diagnostic value of deep learning image reconstruction(DLIR)com-bined with low-dose chest computed tomography(CT)with axial scan in the diagnosis of mycoplasma pneumoniae pneumonia(MPP)in children,and to provide reference for clinical practice.Methods 160 cases MPP children from February 2024 to June 2025 were selected as study subjects,and low-dose chest CT with axial scan was performed on all patients.DLIR and conventional adaptive iterative reconstruction-V(ASIR-V)were used for image reconstruction.The objective image quality[background noise(SD),signal-to-noise ratio(SNR),and contrast-to-noise ratio(CNR)],subjective image quality,and CT sign detection rate were compared,and the consistency of DLIR and ASIR-V in the diagnosis of MPP severity and clinical diagnosis was compared.Results As the intensity of DLIR and the weight of ASIR increasd,SD gradually decreased,while SNR and CNR gradually increased.The high-strength DLIR(DLIR-H)SD was lower than that of ASIR with a blending level of 80%(ASIR-V80%).The SNR and CNR were higher than those of ASIR-V80%,showing statistical significance(P<0.05).Ridit test showed that DLIR-H had the best subjective image quality score under different DLIR intensities,and ASIR-V80%had the best subjective image quality score under different ASIR weights.Furthermore,the subjective image quality score of DLIR-H was higher that of ASIR-V80%,and the differences were statistically significant(P<0.05).Using DLIR-H,the detection rates of air bronchogram,pulmonary consolidation,and interstitial infiltration(69.38%,86.88%,20.63%,respectively)were higher than those using ASIR-V80%(50.00%,71.88%,7.50%,respectively),and the differences were statistically significant(P<0.05).Consistency analysis showed that the Kappa value between the diagnostic results of MPP severity using DLIR-H and clinical diagnosis was 0.856(95%CI:0.771~0.996),while that between the diagnostic results of MPP severity using ASIR-V80%and clinical diagnosis was 0.498(95%CI:0.346~0.650).ROC analysis showed that the area under the curve(AUC)for diagnosing MPP severity was 0.925(95%CI:0.872~0.960)for DLIR-H and 0.729(95%CI:0.653~0.796)for ASIR-V80%,and the diagnostic value of DLIR-H was superior to that of ASIR-V80%(Z=3.952,P<0.001).Conclusion DLIR can effectively improve image quality.DLIR-H combined with low-dose chest CT with axial scan has high diagnostic value for the severity of MPP,and can serve as a feasible solution for clinical diagnosis of MPP severity and reducing radiation dose.
4.Clinical and imaging manifestations of posterior tibial tendon dysfunction
Yingli REN ; Jie FAN ; Yunhai MO ; Taoming DU
Journal of Practical Radiology 2025;41(6):1017-1020
Objective To explore the clinical and imaging manifestations of posterior tibial tendon dysfunction(PTTD).Methods A retrospective selection was conducted on 61 patients with clinically diagnosed PTTD.According to the classification criteria of Johnson and Strom,8 patients were classified as stage 1,17 as stage 2,20 as stage 3,and 16 as stage 4.The clinical manifestations and imaging features of patients were summarized at each stage.Results Among the 8 patients with stage 1 PTTD,no abnormalities were found on X-ray examination of the weight-bearing foot,while MRI revealed posterior tibial tendon(PTT)tendinitis in 4 cases(50.0%).For stage 2 patients(n=17),X-ray examination of the weight-bearing foot showed a decrease in the longitudinal arch of the foot in 15 patients(88.2%).MRI mainly revealed PTT degeneration in 12 cases(70.6%),PTT tears in 2 cases(11.8%),and other structural injuries in 5 cases(29.4%).For stages 3-4 patients(n=36),X-ray examination of the weight-bearing foot showed flatfoot in all cases.MRI mainly revealed PTT degeneration in 12 cases(33.3%),PTT tears in 24 cases(66.7%),spring ligament injuries in 33 cases(91.7%),and deltoid ligament injuries in 23 cases(63.9%).Conclusion Patients with stage 1 PTTD often have a normal foot longitudinal arch and may present with PTT tendinitis.Middle-aged females are more commonly affected by advanced PTTD,which is characterized by gradual decrease and collapse of the foot arch,accompanied by varying degrees of PTT degeneration and tears.The spring ligament injuries and deltoid ligament are frequently involved in structural injuries associated with PTTD.
5.T2WI MR-Based Radiomics Nomogram for Predicting Deep Stromal Invasion of Early-Stage Cervical Cancer
Huizhen SONG ; Yu WANG ; Maoyuan LI ; Xue LI ; Taoming DU
Chinese Journal of Medical Imaging 2024;32(9):928-933
Purpose To investigate the value of T2WI MR-based radiomics nomogram for predicting deep stromal invasion of cervical cancer preoperatively.Materials and Methods Retrospective analysis of 164 consecutive patients with early-stage cervical cancer with postoperative pathological findings and preoperative MR images admitted to two medical centers in the Affiliated Hospital of Southwest Medical University(first center)and the Huaihe Hospital of Henan University(second center)from May 2018 to August 2022.The data in the first center(n=1 14)and the second center(n=50)were divided into the training and validation cohorts,respectively.To segment T2WI images in the 3D Slicer software and to extract image features in the python software.The radiomic features were selected in the training cohort.Based on the selected features,support vector machine prediction model was constructed.Univariate Logistic regression was used to select clinicopathological risk factors,then,multi-variate Logistic regression combined with radiomics score was used to construct radiomics nomogram,diagnostic performance of the radiomics model,clinical prediction model and radiomics nomogram model were assessed by receiver operating characteristic analysis.The predictive efficacy of the different models were compared.Results The 12 radiomics features were selected out.The FIGO staging and radiomics score were included in the multifactor Logistic regression to build the radiomics nomogram for predicting deep stromal invasion.The results showed that the predictive performance for the radiomics nomogram model was better than the clinical prediction model(in validation cohort:area under the curve was 0.845 vs.0.717;Z=2.728,P=0.006).Conclusion Radiomics nomogram based on T2WI is of high value for predicting deep stromal invasion of cervical cancer preoperatively.

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