Advancement in Diagnostic Imaging of Thymic Tumors

Gentili, Francesco; Monteleone, Ilaria; Mazzei, Francesco Giuseppe; Luzzi, Luca; Roscio, Davide Del; Guerrini, Susanna; Volterrani, Luca; Mazzei, Maria Antonietta

doi:10.3390/cancers13143599

Cited by 10 publications

(9 citation statements)

References 49 publications

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“…[30,31] Some studies considered 70 KeV VMI accepted as a relatively standard energy level for routine reconstruction. [24] In this study, the radiomics models for nuclear grading and T-staging based on different VMI, IMDI, and MEI images obtained a certain value, The radomics model based on VMI obtained better results than MEI model. The AUC of 70 and 100 KeV models was larger than 150 KeV.…”

Section: Discussionmentioning

confidence: 62%

“…DECT can perform multi-parameter imaging vs single-parameter of conventional CT, and Compared with the hybrid energy images of single energy computed tomography, DECT can obtain a series of VEI and IMDI, moreover, the images can be obtained with a radiation exposure not significantly different from that of single-energy CT. [ 24 ] Many studies had applied DECT based radiomics in the tumor staging and nuclear grading and had achieved good results. [ 16 , 19 , 25 , 26 ] VMI were recommended for routine use in DECT of the abdomen by the White Paper of the Society of Computed Tomography and Magnetic Resonance [ 27 ] and a multi-institutional consensus.…”

Section: Discussionmentioning

confidence: 99%

“…[ 28 , 29 ] VMI had been shown to improve lesion detection at low KeV levels. [ 24 ] With the increase of energy, the diagnostic accuracy of renal lesions could decrease, 70 KeV VMI has the lowest noise magnitude and may provide the best trade-off between sensitivity and specificity. [ 30 , 31 ] Some studies considered 70 KeV VMI accepted as a relatively standard energy level for routine reconstruction.…”

Section: Discussionmentioning

confidence: 99%

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Study of radiomics based on dual-energy CT for nuclear grading and T-staging in renal clear cell carcinoma

Wang,

Bing,

et al. 2024

Medicine

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Introduction: Clear cell renal cell carcinoma (ccRCC) is the most lethal subtype of renal cell carcinoma with a high invasive potential. Radiomics has attracted much attention in predicting the preoperative T-staging and nuclear grade of ccRCC. Objective: The objective was to evaluate the efficacy of dual-energy computed tomography (DECT) radiomics in predicting ccRCC grade and T-stage while optimizing the models. Methods: 200 ccRCC patients underwent preoperative DECT scanning and were randomized into training and validation cohorts. Radiomics models based on 70 KeV, 100 KeV, 150 KeV, iodine-based material decomposition images (IMDI), virtual noncontrasted images (VNC), mixed energy images (MEI) and MEI + IMDI were established for grading and T-staging. Receiver operating characteristic analysis and decision curve analysis (DCA) were performed. The area under the curve (AUC) values were compared using Delong test. Results: For grading, the AUC values of these models ranged from 0.64 to 0.97 during training and from 0.54 to 0.72 during validation. In the validation cohort, the performance of MEI + IMDI model was optimal, with an AUC of 0.72, sensitivity of 0.71, and specificity of 0.70. The AUC value for the 70 KeV model was higher than those for the 100 KeV, 150 KeV, and MEI models. For T-staging, these models achieved AUC values of 0.83 to 1.00 in training and 0.59 to 0.82 in validation. The validation cohort demonstrated AUCs of 0.82 and 0.70, sensitivities of 0.71 and 0.71, and specificities of 0.80 and 0.60 for the MEI + IMDI and IMDI models, respectively. In terms of grading and T-staging, the MEI + IMDI model had the highest AUC in validation, with IMDI coming in second. There were statistically significant differences between the MEI + IMDI model and the 70 KeV, 100 KeV, 150 KeV, MEI, and VNC models in terms of grading (P < .05) and staging (P ≤ .001). DCA showed that both MEI + IDMI and IDMI models outperformed other models in predicting grade and stage of ccRCC. Conclusions: DECT radiomics models were helpful in grading and T-staging of ccRCC. The combined model of MEI + IMDI achieved favorable results.

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Section: Discussionmentioning

confidence: 62%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Study of radiomics based on dual-energy CT for nuclear grading and T-staging in renal clear cell carcinoma

Wang,

Bing,

et al. 2024

Medicine

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“…Mediastinal seminoma can invade adjacent tissues due to its large tumor volume, and the lung tissues, chest cavity, liver, and bone are the most involved sites [9]. In this case, the tumor adhered to the brachiocephalic veins and pericardial tissues, which induced traction-like pain in the chest wall and associated accompanying symptoms.…”

Section: Discussionmentioning

confidence: 97%

“…In this case, the AFP, LDH, and β-HCG results were all negative. PET-CT plays an important role in differentiating benign mediastinal tumors from malignant ones, and it is also of great signi cance for evaluating e cacy [9]. However, due to the fact that it can be manifested as homogeneous masses, there is often a lack of speci city for the imaging diagnosis of PMS, which may be di cult to be distinguished from lymphoma.…”

Section: Discussionmentioning

confidence: 99%

Primary mediastinal seminoma with chronic granulomatous inflammation and lymphoid follicular hyperplasia: A case report and literature review

Luo,

Zhang,

Luo

et al. 2023

Preprint

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Background: In this paper, a 22-year-old male patient with primary mediastinal seminoma (PMS), a rare extragonadal germ cell tumor, was described. Due to chest pain, this patient was admitted to the hospital and received the thoracic contrast-enhanced CT and further magnetic resonance imaging (MRI) examination, with the result of a mass in the anterior mediastinum, which indicated a benign tumor or tumor-like lesion such as thymic or thymomas. After the testicular metastasis was excluded after surgery, he was pathologically diagnosed with PMS, accompanied by secondary histological features, including a dense inflammatory infiltrate comprising a combination of lymphocytes and granulomatous inflammation that may obscure the underlying neoplasm, thus leading to missed diagnosis or misdiagnosis or delayed diagnosis. Therefore, a proper understanding of the histological features and rare accompanying features of this disease is essential for the correct diagnosis and postoperative treatment.

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Multiparametric Evaluation of Radiomics Features and Dual-Energy CT Iodine Maps for Discrimination and Outcome Prediction of Thymic Masses

Mahmoudi¹,

Gruenewald²,

Eichler³

et al. 2023

Academic Radiology

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Advancement in Diagnostic Imaging of Thymic Tumors

Cited by 10 publications

References 49 publications

Study of radiomics based on dual-energy CT for nuclear grading and T-staging in renal clear cell carcinoma

Study of radiomics based on dual-energy CT for nuclear grading and T-staging in renal clear cell carcinoma

Primary mediastinal seminoma with chronic granulomatous inflammation and lymphoid follicular hyperplasia: A case report and literature review

Multiparametric Evaluation of Radiomics Features and Dual-Energy CT Iodine Maps for Discrimination and Outcome Prediction of Thymic Masses

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