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OBJECTIVE: To investigate the radiological classification, gene-mutation status, and surgical prognosis of synchronous multiple primary lung cancer (sMPLC). METHODS: From January 2013 to October 2019, 192 consecutive patients with sMPLC were investigated. The clinical, CT, molecular, and pathological features of all patients were analyzed. Furthermore, the prognosis of 89 patients who only underwent surgical resection was evaluated. RESULTS: Among 192 patients, all lesions pathologically confirmed or highly suspected as tumors based on radiological findings were retrospectively analyzed, and the CT findings of sMPLC were classified into three types: (I) all lesions manifested as solid nodules/masses (14.06%, 27/192), (II) all lesions manifested as subsolid nodules/masses (43.23%, 83/192), and (III) tumor lesions manifested as a combination of ≥ 2 of the following patterns: solid nodules/masses, subsolid nodules/masses, cystic airspace, and focal consolidation (42.71%, 82/192). For 252 tumors undergoing epidermal growth factor receptor (EGFR)-mutation testing, the EGFR-mutation rate was higher in subsolid tumors than that in solid tumors (p < 0.05). Among 19 patients with all tumors undergoing surgery and driver-gene testing, genetic heterogeneity was prevalent among the multiple tumors (63.16%,12/19). The highest clinical stage of non-I, ipsilateral distribution of tumors, and CT classification of I indicated a poor prognosis for patients with sMPLC (all p < 0.05). CONCLUSION: Subsolid lesions are the most common presentation of sMPLC. Genetic heterogeneity in driver mutations among sMPLC may be present. Prognosis in patients with sMPLC is determined by the highest clinical TNM stage, distribution, and radiological classification among the multiple tumors. KEY POINTS: ⢠Synchronous multiple primary lung cancer (sMPLC) has three types of CT findings. ⢠Genetic heterogeneity may be prevalent among the multiple tumors. ⢠Prognosis in patients with sMPLC is associated with the highest clinical TNM stage, distribution, and radiological classification among the multiple tumors.
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Neoplasias Pulmonares , Neoplasias Primárias Múltiplas , Receptores ErbB/genética , Humanos , Neoplasias Pulmonares/diagnóstico por imagem , Neoplasias Pulmonares/genética , Neoplasias Pulmonares/cirurgia , Mutação , Neoplasias Primárias Múltiplas/diagnóstico por imagem , Neoplasias Primárias Múltiplas/genética , Neoplasias Primárias Múltiplas/cirurgia , Prognóstico , Estudos RetrospectivosRESUMO
BACKGROUND: Only few studies have focused on differentiating focal pneumonia-like lung cancer (F-PLC) from focal pulmonary inflammatory lesion (F-PIL). This exploratory study aimed to evaluate the clinical value of a combined model incorporating computed tomography (CT)-based radiomics signatures, clinical factors, and CT morphological features for distinguishing F-PLC and F-PIL. METHODS: In total, 396 patients pathologically diagnosed with F-PLC and F-PIL from two medical institutions between January 2015 and May 2021 were retrospectively analyzed. Patients from center 1 were included in the training (n = 242) and internal validation (n = 104) cohorts. Moreover, patients from center 2 were classified under the external validation cohort (n = 50). The clinical and CT morphological characteristics of both groups were compared first. And then, a clinical model incorporating clinical and CT morphological features, a radiomics model reflecting the radiomics signature of lung lesions, and a combined model were developed and validated, respectively. RESULTS: Age, gender, smoking history, respiratory symptoms, air bronchogram, necrosis, and pleural attachment differed significantly between the F-PLC and F-PIL groups (all P < 0.05). For the clinical model, age, necrosis, and pleural attachment were the most effective factors to differentiate F-PIL from F-PLC, with the area under the curves (AUCs) of 0.838, 0.819, and 0.717 in the training and internal and external validation cohorts, respectively. For the radiomics model, five radiomics features were found to be significantly related to the identification of F-PLC and F-PIL (all P < 0.001), with the AUCs of 0.804, 0.877, and 0.734 in the training and internal and external validation cohorts, respectively. For the combined model, five radiomics features, age, necrosis, and pleural attachment were independent predictors for distinguishing between F-PLC and F-PIL, with the AUCs of 0.915, 0.899, and 0.805 in the training and internal and external validation cohorts, respectively. The combined model exhibited a better performance than had the clinical and radiomics models. CONCLUSIONS: The combined model, which incorporates CT-based radiomics signatures, clinical factors, and CT morphological characteristics, is effective in differentiating F-PLC from F-PIL.
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Neoplasias Pulmonares , Pneumonia , Humanos , Pulmão/diagnóstico por imagem , Pulmão/patologia , Neoplasias Pulmonares/diagnóstico por imagem , Neoplasias Pulmonares/patologia , Necrose , Pneumonia/diagnóstico por imagem , Estudos RetrospectivosRESUMO
BACKGROUND: Necrotic pulmonary lesions manifest as relatively low-density internally on contrast-enhanced computed tomography (CT). However, using CT to differentiate malignant and benign necrotic pulmonary lesions is challenging, as these lesions have similar peripheral enhancement. With the introduction of dual-energy spectral CT (DESCT), more quantitative parameters can be obtained and the ability to differentiate material compositions has been highly promoted. This study investigated the use of kVp-switching DESCT in differentiating malignant from benign necrotic lung lesions. METHODS: From October 2016 to February 2019, 40 patients with necrotic lung cancer (NLC) and 31 with necrotic pulmonary mass-like inflammatory lesion (NPMIL) were enrolled and underwent DESCT. The clinical characteristics of patients, CT morphological features, and DESCT quantitative parameters of lesions were compared between the two groups. Binary logistic regression analysis was performed to identify the independent prognostic factors differentiating NPMIL from NLC. Receiver operating characteristic (ROC) curves were used to assess the diagnostic performance of single-parameter and multiparametric analyses. RESULTS: Significant differences in age, C-reactive protein concentration, the slope of the spectral curve from 40 to 65 keV (K40-65 keV) of necrosis in non-contrast-enhanced scanning (NCS), arterial phase (AP) and venous phase (VP), effective atomic number of necrosis in NCS, and iodine concentration (IC) of the solid component in VP were observed between groups (all p < 0.05). The aforementioned parameters had area under the ROC curve (AUC) values of 0.747, 0.691, 0.841, 0.641, 0.660, 0.828, and 0.754, respectively, for distinguishing between NLC and NPMIL. Multiparametric analysis showed that age, K40-65 keV of necrosis in NCS, and IC of the solid component in VP were the most effective factors for differentiating NLC from NPMIL, with an AUC of 0.966 and percentage of correct class of 88.7%. CONCLUSIONS: DESCT can differentiate malignant from benign necrotic lung lesions with a relatively high accuracy.
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Neoplasias Pulmonares/diagnóstico por imagem , Pulmão/patologia , Tomografia Computadorizada por Raios X/métodos , Adulto , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Proteína C-Reativa/análise , Meios de Contraste , Diagnóstico Diferencial , Feminino , Humanos , Iodo/análise , Pulmão/diagnóstico por imagem , Neoplasias Pulmonares/patologia , Masculino , Pessoa de Meia-Idade , Necrose/diagnóstico por imagem , Necrose/patologia , Prognóstico , Curva ROC , Análise de RegressãoRESUMO
OBJECTIVE. The purpose of this study was to investigate the correlation between iodine concentration (IC) derived from spectral CT and angiogenesis and the relationships between IC and clinical-pathologic features associated with lung cancer prognosis. SUBJECTS AND METHODS. Sixty patients with lung cancer were enrolled and underwent spectral CT. The IC, IC difference (ICD), and normalized IC (NIC) of tumors were measured in the arterial phase, venous phase (VP), and delayed phase. The microvessel densities (MVDs) of CD34-stained specimens were evaluated. Correlation analysis was performed for IC and MVD. The relationships between the IC index showing the best correlations with MVD and clinical-pathologic findings of pathologic types, histologic differentiation, tumor size, lymph node status, pathologic TNM stage, and intratumoral necrosis were investigated. RESULTS. The mean (± IQR) MVD of all tumors was 42.00 ± 27.50 vessels per field at ×400 magnification, with two MVD distribution types. The MVD of lung cancer correlated positively with the IC, ICD, and NIC on three-phase contrast-enhanced scanning (r range, 0.581-0.800; all p < 0.001), and the IC in the VP showed the strongest correlation with MVD (r = 0.800; p < 0.001). The correlations between IC and MVD, ICD and MVD, and NIC and MVD varied depending on whether the same scanning phase or same IC index was used. The IC in the VP showed statistically significant differences in the pathologic types of adenocarcinoma and squamous cell carcinoma, histologic differentiation, tumor size, and status of intratumoral necrosis of lung cancer (p < 0.05), but was not associated with nodal metastasis and pathologic TNM stages (p > 0.05). CONCLUSION. IC indexes derived from spectral CT, especially the IC in the VP, were useful indicators for evaluating tumor angiogenesis and prognosis.
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Neoplasias Pulmonares/diagnóstico por imagem , Neovascularização Patológica/diagnóstico por imagem , Tomografia Computadorizada por Raios X/métodos , Adulto , Idoso , Idoso de 80 Anos ou mais , Meios de Contraste , Feminino , Humanos , Iohexol , Neoplasias Pulmonares/patologia , Masculino , Pessoa de Meia-Idade , Neovascularização Patológica/patologia , Prognóstico , Estudos Prospectivos , Carga TumoralRESUMO
BACKGROUND: Imaging methods for the plantar fascia have included radiography, ultrasound and magnetic resonance imaging (MRI), all of which have provided valuable information. This study assessed the reliability of ultrasonography examinations of the plantar fascia using a comparative study. METHODS: Fifty healthy adult volunteers (25 males and 25 females, mean age 31.6 ± 3.5 years) were included in this study. Images of the plantar fascia from 100 ft were acquired with ultrasonography, CT and MRI. Ultrasound was used to measure the thickness of the plantar fascia. Imaging data from CT and MRI in a DICOM format were transformed into the Materialise Mimics Innovation Suite 16.0 software for digital analysis. SPSS software (SPSS, USA) was used for statistical analysis. The reliability was established by a t-test. Moreover, 42 patients with unilateral plantar fasciitis were examined by ultrasonography. RESULTS: There were no significant differences between the three imaging modalities for patients of the same sex (P > 0.05). There were no statistically significant differences between the left and right sides for patients of the same sex (P > 0.05), but the difference between males and females was statistically significant (P < 0.01). There were no significant differences between US, CT and MRI in the normal group, but there were significant differences in the plantar fasciitis group evaluated with ultrasound. The plantar fascii of normal male subjects are significantly thicker than those of the normal female. CONCLUSION: Ultrasonography can be a relatively simple and reliable method for the measurement of plantar fascia thickness.
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Fasciíte Plantar/diagnóstico por imagem , Imageamento por Ressonância Magnética/métodos , Tomografia Computadorizada por Raios X/métodos , Ultrassonografia/métodos , Adulto , Estudos de Casos e Controles , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Sensibilidade e Especificidade , Caracteres Sexuais , Software , Adulto JovemRESUMO
OBJECTIVES: To evaluate the clinical and non-contrast computed tomography (CT) features of patients with benign pulmonary subsolid nodules (SSNs) with a solid component ≤ 5 mm and their development trends via follow-up CT. METHODS: We retrospectively collected 436 data from patients who had SSNs with a solid component ≤ 5 mm, including 69 with absorbable benign SSNs (AB-SSNs), 70 with nonabsorbable benign SSNs (NB-SSNs), and 297 with malignant SSNs (M-SSNs). Models 1, 2, and 3 for distinguishing the different types of SSNs were then developed and validated. RESULTS: Patients with AB-SSNs were younger and exhibited respiratory symptoms more frequently than those with M-SSNs. The frequency of nodules detected during follow-up CT was in the following order: AB-SSNs > NB-SSNs > M-SSNs. NB-SSNs were smaller than M-SSNs, and ill-defined margins were more frequent in AB-SSNs than in NB-SSNs and M-SSNs. Benign SSNs exhibited irregular shape, target sign, and lower CT values more frequently compared to M-SSNs, whereas the latter demonstrated bubble lucency more commonly compared to the former. Furthermore, AB-SSNs showed more thickened interlobular septa and satellite lesions than M-SSNs and M-SSNs had more pleural retraction than AB-SSNs (all p < 0.017). The three models had AUCs ranging 0.748-0.920 and 0.790-0.912 in the training and external validation cohorts, respectively. A follow-up CT showed nodule progression in four benign SSNs. CONCLUSIONS: The three SSN types have different clinical and imaging characteristics, with some benign SSNs progressing to resemble malignancy. CRITICAL RELEVANCE STATEMENT: A good understanding of the imaging features and development trends of benign SSNs may help reduce unnecessary follow-up or interventions. This retrospective study explores the CT characteristics of benign SSNs with a solid component ≤ 5 mm by comparing AB-SSNs, NB-SSNs, and M-SSNs and delineates their development trends via follow-up CT. KEY POINTS: 1. Different subsolid nodule types exhibit distinct clinical and imaging features. 2. A miniscule number of benign subsolid nodules can progress to resemble malignancy. 3. Knowing the clinical and imaging features and development trends of benign subsolid nodules can improve management.
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Background: Computed tomography (CT) has been widely known to be the first choice for the diagnosis of solid solitary pulmonary nodules (SSPNs). However, the smaller the SSPN is, the less the differential CT signs between benign and malignant SSPNs there are, which brings great challenges to their diagnosis. Therefore, this study aimed to investigate the differential CT features between small (≤15 mm) benign and malignant SSPNs with different sizes. Methods: From May 2018 to November 2021, CT data of 794 patients with small SSPNs (≤15 mm) were retrospectively analyzed. SSPNs were divided into benign and malignant groups, and each group was further classified into three cohorts: cohort I (diameter ≤6 mm), cohort II (6 mm < diameter ≤8 mm), and cohort III (8 mm < diameter ≤15 mm). The differential CT features of benign and malignant SSPNs in three cohorts were identified. Multivariable logistic regression analyses were conducted to identify independent factors of benign SSPNs. Results: In cohort I, polygonal shape and upper-lobe distribution differed significantly between groups (all P<0.05) and multiparametric analysis showed polygonal shape [adjusted odds ratio (OR): 12.165; 95% confidence interval (CI): 1.512-97.872; P=0.019] was the most effective variation for predicting benign SSPNs, with an area under the receiver operating characteristic curve (AUC) of 0.747 (95% CI: 0.640-0.855; P=0.001). In cohort II, polygonal shape, lobulation, pleural retraction, and air bronchogram differed significantly between groups (all P<0.05), and polygonal shape (OR: 8.870; 95% CI: 1.096-71.772; P=0.041) and the absence of pleural retraction (OR: 0.306; 95% CI: 0.106-0.883; P=0.028) were independent predictors of benign SSPNs, with an AUC of 0.778 (95% CI: 0.694-0.863; P<0.001). In cohort III, 12 CT features showed significant differences between groups (all P<0.05) and polygonal shape (OR: 3.953; 95% CI: 1.508-10.361; P=0.005); calcification (OR: 3.710; 95% CI: 1.305-10.551; P=0.014); halo sign (OR: 6.237; 95% CI: 2.838-13.710; P<0.001); satellite lesions (OR: 6.554; 95% CI: 3.225-13.318; P<0.001); and the absence of lobulation (OR: 0.066; 95% CI: 0.026-0.167; P<0.001), air space (OR: 0.405; 95% CI: 0.215-0.764; P=0.005), pleural retraction (OR: 0.297; 95% CI: 0.179-0.493; P<0.001), bronchial truncation (OR: 0.165; 95% CI: 0.090-0.303; P<0.001), and air bronchogram (OR: 0.363; 95% CI: 0.208-0.633; P<0.001) were independent predictors of benign SSPNs, with an AUC of 0.869 (95% CI: 0.840-0.897; P<0.001). Conclusions: CT features vary between SSPNs with different sizes. Clarifying the differential CT features based on different diameter ranges may help to minimize ambiguities and discriminate the benign SSPNs from malignant ones.
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OBJECTIVE: To investigate the dynamic changes during follow-up computed tomography (CT), histological subtypes, gene mutation status, and surgical prognosis for different morphological presentations of solitary lung adenocarcinomas (SLADC). MATERIALS AND METHODS: This retrospective study compared dynamic tumor changes and volume doubling time (VDT) in 228 patients with SLADC (morphological types I-IV) who had intermittent growth during follow-ups. The correlation between the morphological classification and histological subtypes, gene mutation status, and surgical prognosis was evaluated. RESULTS: Among the 228 patients, 66 (28.9%) were classified as type I, 123 (53.9%) as type II, 16 (7%) as type III, and 23 (10.1%) as type IV. Type I had the shortest VDT (254 days), followed by types IV (381 days) and III (501 days), and then type II (993 days) (p < 0.05 each). Type I had a greater proportion of solid/micropapillary-predominant pattern than type II, and the lepidic-predominant pattern was more common in type II and III than in type I (p < 0.05 each). Furthermore, type II and IV SLADCs were correlated with positive epidermal growth factor receptor mutation (p < 0.05 each). Lastly, the Kaplan-Meier curves showed that the disease-free survival was longest for patients with type II tumors, followed by those with type III and IV tumors, and then those with type I tumors (p < 0.001 each). CONCLUSION: A good understanding of the natural progression and pathological-molecular characteristics of different morphological SLADC types can help make accurate diagnoses, develop individual treatment strategies, and predict patient outcomes. CRITICAL RELEVANCE STATEMENT: A good understanding of the natural progression and pathological-molecular characteristics of different morphological solitary lung adenocarcinoma types can help make accurate diagnoses, develop individual treatment strategies, and predict patient outcomes. KEY POINTS: ⢠Type I-IV solitary lung adenocarcinomas exhibit varying natural progression on serial CT scans. ⢠Morphological classification of solitary lung adenocarcinomas predicts histological subtype, gene status, and surgical prognosis. ⢠This classification of solitary lung adenocarcinomas may help improve diagnostic, therapeutic, and prognosticating abilities.
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PURPOSE: To assess the value of multiplanar computed tomography (CT) in the diagnosis of nonperforated duodenal bulb ulcer (NPDBU). METHOD: We retrospectively analyzed data from 135 patients with NPDBU (ulcer group) and 150 patients with a normal duodenal bulb (control group) who underwent contrast-enhanced abdominal CT and were diagnosed via upper endoscopy from January 2018 to February 2022. The clinical and CT features were compared between the two groups. Independent prognostic factors for diagnosing NPDBU were determined using binary logistic regression analysis. An external validation cohort to determine the model's efficiency comprised 80 patients from another center. RESULTS: Gastrointestinal bleeding was more frequent in patients with NPDBU than in those without (p < 0.001). No significant differences in age and sex were observed between the groups (all p > 0.05). The duodenal bulbar wall was significantly thicker in the ulcer group than in the control group, as determined using CT (p < 0.001). Irregular mucosal surface, layered enhancement, and blurred fat space around the duodenal bulb were more common in the ulcer group than in the control group (all p < 0.001). Binary logistic regression analysis revealed that gastrointestinal bleeding, wall thickness of ≥ 4.85 mm, irregular mucosal surface, and blurred peripheral fat space were the most significant variations associated with NPDBU, with an area under the curve (AUC) of 0.974. The external validation cohort had an AUC of 0.916. CONCLUSIONS: Careful multiplanar CT interpretation suggests the underlying presence of NPDBU and allows timely endoscopic verification and appropriate treatment.
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Úlcera Duodenal , Úlcera , Humanos , Úlcera/complicações , Estudos Retrospectivos , Úlcera Duodenal/complicações , Úlcera Duodenal/diagnóstico , Tomografia Computadorizada por Raios X , Hemorragia GastrointestinalRESUMO
OBJECTIVE: To analyze the subtypes of primary diffuse large B cell lymphoma of the central nervous system (CNS DLBCL) and to explore the relationship between the subtype classification and prognosis. METHODS: Immunohistochemical staining was used to determine the expression of CD20, CD3, CD10, Bcl-6, Mum-1, CD5, Bcl-2, Ki-67, FOXP-1, GCET-1, BLIMP-1 and LMO-2 antigens on paraffin-embedded sections of 47 cases. Hans, Choi and Tally subtypes were classified, and univariate and multivariate analyses were used to elucidate the relationship between the subtypes and prognosis. RESULTS: In the 47 cases, the expression of Bcl-2 in the tumor cells was 46.8%, CD10 4.3%, Bcl-6 70.2%, Mum-1 53.2%, GCET-1 36.2%, BLIMP-1 4.3%, FOXP-1 63.8% and LMO-2 19.2%. The positive rate of Ki-67 was 30% to 95%, with a median of 80%, of which 12 cases (25.5%) was > or = 90%. The Hans subtype classification showed 16 cases (34.0%) were of GCB type and 31 cases (66.0%) of non-GCB type. The Choi subtype classification showed 16 cases (34.0%) were of GCB type and 31 cases (66.0%) of ABC type. The Tally subtype classification showed 6 cases (12.8%) were of GCB type and 41 cases (87.2%) of non-GCB type. CONCLUSIONS: The results of this study show that there is no significant correlation between the three subtypes and prognosis. The prognosis is correated with post-operative radiotherapy, chemotherapy and MTX therapy.
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Neoplasias do Sistema Nervoso Central/classificação , Imunofenotipagem/métodos , Linfoma Difuso de Grandes Células B/classificação , Proteínas Adaptadoras de Transdução de Sinal/metabolismo , Adulto , Idoso , Idoso de 80 Anos ou mais , Protocolos de Quimioterapia Combinada Antineoplásica/uso terapêutico , Neoplasias do Sistema Nervoso Central/metabolismo , Neoplasias do Sistema Nervoso Central/patologia , Neoplasias do Sistema Nervoso Central/terapia , Ciclofosfamida/uso terapêutico , Doxorrubicina/uso terapêutico , Feminino , Seguimentos , Fatores de Transcrição Forkhead/metabolismo , Humanos , Fatores Reguladores de Interferon/metabolismo , Antígeno Ki-67/metabolismo , Proteínas com Domínio LIM/metabolismo , Linfoma Difuso de Grandes Células B/metabolismo , Linfoma Difuso de Grandes Células B/patologia , Linfoma Difuso de Grandes Células B/terapia , Masculino , Metotrexato/uso terapêutico , Pessoa de Meia-Idade , Proteínas de Neoplasias/metabolismo , Neprilisina/metabolismo , Fator 1 de Ligação ao Domínio I Regulador Positivo , Prednisona/uso terapêutico , Prognóstico , Proteínas Proto-Oncogênicas/metabolismo , Proteínas Proto-Oncogênicas c-bcl-2/metabolismo , Proteínas Proto-Oncogênicas c-bcl-6/metabolismo , Proteínas Repressoras/metabolismo , Estudos Retrospectivos , Serpinas/metabolismo , Taxa de Sobrevida , Vincristina/uso terapêutico , Adulto JovemRESUMO
BACKGROUND: In clinical practice, a number of delayed diagnoses of localized pneumonic-type lung adenocarcinoma (L-PLADC) mimicking pneumonia have been identified due to the lack of knowledge regarding the radiological findings associated with this condition. Here, we defined L-PLADC as a special type of lung adenocarcinoma that presents as a focal consolidation involving < 50% of the area of a lobe and aimed to investigate the differential clinical and imaging features between L-PLADC and localized pulmonary inflammatory lesion (L-PIL). RESULTS: The data of 120 patients with L-PLADC and 125 patients with L-PIL who underwent contrast-enhanced chest computed tomography (CT) scan were retrospectively analyzed. For clinical characteristics, older age, women, nonsmokers, and no symptom were more common in L-PLADC (all p < 0.001). With regard to CT features, air bronchogram, irregular air bronchogram, ground-glass opacity (GGO) component, and pleural retraction were more frequently observed in L-PLADC, while necrosis, satellite lesions, halo sign, bronchial wall thickening, interlobular septa thickening, pleural attachment, and pleural thickening were more commonly seen in L-PIL (all p < 0.001). Multivariate analysis showed age ≥ 58 years, female sex, GGO component, irregular air bronchogram, pleural retraction, and the absence of necrosis and pleural attachment were the most effective variations associated with L-PLADC with an AUC of 0.979. Furthermore, an external validation cohort containing 62 patients obtained an AUC of 0.929. CONCLUSIONS: L-PLADC and L-PIL have different clinical and imaging characteristics. An adequate understanding of these differential features can contribute to the early diagnosis of L-PLADC and the subsequent therapeutic strategy.
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Background: To investigate the value of computed tomography (CT)-based radiomics signatures in combination with clinical and CT morphological features to identify epidermal growth factor receptor (EGFR)-mutation subtypes in lung adenocarcinoma (LADC). Methods: From February 2012 to October 2019, 608 patients were confirmed with LADC and underwent chest CT scans. Among them, 307 (50.5%) patients had a positive EGFR-mutation and 301 (49.5%) had a negative EGFR-mutation. Of the EGFR-mutant patients, 114 (37.1%) had a 19del -mutation, 155 (50.5%) had a L858R-mutation, and 38 (12.4%) had other rare mutations. Three combined models were generated by incorporating radiomics signatures, clinical, and CT morphological features to predict EGFR-mutation status. Patients were randomly split into training and testing cohorts, 80% and 20%, respectively. Model 1 was used to predict positive and negative EGFR-mutation, model 2 was used to predict 19del and non-19del mutations, and model 3 was used to predict L858R and non-L858R mutations. The receiver operating characteristic curve and the area under the curve (AUC) were used to evaluate their performance. Results: For the three models, model 1 had AUC values of 0.969 and 0.886 in the training and validation cohorts, respectively. Model 2 had AUC values of 0.999 and 0.847 in the training and validation cohorts, respectively. Model 3 had AUC values of 0.984 and 0.806 in the training and validation cohorts, respectively. Conclusion: Combined models that incorporate radiomics signature, clinical, and CT morphological features may serve as an auxiliary tool to predict EGFR-mutation subtypes and contribute to individualized treatment for patients with LADC.
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Purpose: To investigate the differential clinical and computed tomography (CT) characteristics of pulmonary nonabsorbable inflammatory and malignant subsolid nodules (SSNs) with a solid component ≤5 mm. Patients and Methods: We retrospectively analyzed 576 consecutive patients who underwent surgical resection and had SSNs with a solid component ≤5 mm on CT images. These patients were divided into inflammatory and malignant groups according to pathology. Their clinical and imaging data were analyzed and compared. Multiple logistic regression analysis was used to identify independent prognostic factors differentiating inflammatory from malignant SSNs. Furthermore, 146 consecutive patients were included as internal validation cohort to test the prediction efficiency of this model. Results: Significant differences in 11 clinical characteristics and CT features were found between both groups (P < 0.05). Presence of respiratory symptoms, distribution of middle/lower lobe, irregular shape, part-solid nodule (PSNs), CT value of ground-glass opacity (GGO) areas <-657 Hu, presence of abnormal intra-nodular vessel sign, and interlobular septal thickening were the most effective factors for diagnosing nonabsorbable inflammatory SSNs, with an AUC (95% CI), accuracy, sensitivity, and specificity of 0.843 (95% CI: 0.811-0.872), 89.76%, 72.86%, and 81.23%, respectively. The internal validation cohort obtained an AUC (95% CI), accuracy, sensitivity, and specificity of 0.830 (95% CI: 0.759-0.887), 83.56%, 73.91%, and 76.42%, respectively. Conclusion: Nonabsorbable inflammatory and malignant SSNs with a solid component ≤5 mm exhibited different clinical and imaging characteristics.
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OBJECTIVE: To study the immunophenotype and prognostic significance of primary gastrointestinal diffuse large B-cell lymphoma, with reference to Hans, Choi and Tally algorithms. METHODS: The clinicopathologic features and follow-up data in 90 cases of primary gastrointestinal diffuse large B-cell lymphoma were analyzed by Kaplan-Meier method, Log-rank test and Cox regression model. Immunohistochemistry was carried out using EliVision and EnVision methods for CD20, CD3ε, CD10, bcl-6, MUM-1, CD5, bcl-2, GCET1, FOXP1, LMO2, BLIMP1 and Ki-67. RESULTS: The age of patients ranged from 27 to 83 years (mean = 58 years). The male-to-female ratio was 1.31:1. Amongst the 90 cases studied, 64.4% (58/90) involved the stomach and 35.6% (32/90) involved the intestine. The immunohistochemical findings were as follows: 100% positivity for CD20, 0% for CD3ε and CD5, 17.8% (16/90) for CD10, 75.6% (68/90) for bcl-6, 52.2% (47/90) for MUM-1 (cut off was 30%), 43.3% (39/90) for MUM-1 (cut off was 80%), 50.0% (45/90) for GCET1, 45.6% (41/90) for FOXP1, 23.3% (21/90) for LMO2, 42.2% (38/90) for bcl-2 and 8.9% (8/90) for BLIMP1. The Ki-67 index ranged from 20% to 95% (median = 80%). According to Hans algorithm, 51.1% of the cases belonged to germinal center B-cell (GCB) subtype and 48.9% belonged to non-GCB subtype. In contrast, Choi algorithm classified 55.6% cases as GCB subtype and 44.4% as activated B-cell (ABC) subtype. According to Tally algorithm, 34.4% were of GCB subtype and 65.6% of non-GCB subtype. Most of the patients (67.8%, 61/90) received chemotherapy and 68.9% (62/90) underwent surgical resection. The overall 2, 3 and 5-year survival rates were 58.5%, 52.8% and 49.8%, respectively. The overall 2, 3 and 5-year survival rates in the CHOP therapy group were 68.5%, 61.2% and 52.9%, respectively. CONCLUSIONS: There is no significant difference in ratio between the GCB and non-GCB/ABC subtypes by Hans and Choi algorithms. The non-GCB subtype seems to be more prevalent according to Tally algorithm. Although there is no significant difference in survival between GCB and non-GCB/ABC subtypes by the 3 algorithms, GCB subtype tends to show a better survival. In univariate analysis, LDH level, international prognostic index, chemotherapy, surgical resection, B symptoms, number of involved sites and clinical stage are found to have prognostic significance. In multivariate analysis, Choi algorithm, Tally algorithm, chemotherapy, surgical resection, LDH level and clinical stage are independent prognostic factors.
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Imunofenotipagem , Neoplasias Intestinais , Linfoma Difuso de Grandes Células B , Neoplasias Gástricas , Proteínas Adaptadoras de Transdução de Sinal , Adulto , Idoso , Idoso de 80 Anos ou mais , Antígenos CD20/metabolismo , Protocolos de Quimioterapia Combinada Antineoplásica/uso terapêutico , Ciclofosfamida/uso terapêutico , Proteínas de Ligação a DNA/metabolismo , Doxorrubicina/uso terapêutico , Feminino , Fatores de Transcrição Forkhead/metabolismo , Centro Germinativo/patologia , Humanos , Fatores Reguladores de Interferon/metabolismo , Neoplasias Intestinais/classificação , Neoplasias Intestinais/tratamento farmacológico , Neoplasias Intestinais/metabolismo , Neoplasias Intestinais/patologia , Neoplasias Intestinais/cirurgia , Estimativa de Kaplan-Meier , Proteínas com Domínio LIM , Linfoma Difuso de Grandes Células B/classificação , Linfoma Difuso de Grandes Células B/tratamento farmacológico , Linfoma Difuso de Grandes Células B/metabolismo , Linfoma Difuso de Grandes Células B/patologia , Linfoma Difuso de Grandes Células B/cirurgia , Masculino , Metaloproteínas/metabolismo , Pessoa de Meia-Idade , Proteínas de Neoplasias/metabolismo , Neprilisina/metabolismo , Prednisona/uso terapêutico , Modelos de Riscos Proporcionais , Proteínas Proto-Oncogênicas , Proteínas Proto-Oncogênicas c-bcl-6/metabolismo , Proteínas Repressoras/metabolismo , Serpinas/metabolismo , Neoplasias Gástricas/classificação , Neoplasias Gástricas/tratamento farmacológico , Neoplasias Gástricas/metabolismo , Neoplasias Gástricas/patologia , Neoplasias Gástricas/cirurgia , Taxa de Sobrevida , Vincristina/uso terapêuticoRESUMO
BACKGROUND: Many delayed diagnoses of lung adenocarcinoma (LADC) are identified due to poor understanding of protean imaging findings. Moreover, clarifying the relationship between computed tomography (CT) morphological classification and epidermal growth factor receptor (EGFR) mutations of LADC might inform therapeutic decision-making while obtaining pathological specimens is difficult. Here, we retrospectively analyzed CT manifestations of LADC and investigated the morphological classification of tumors in relation to EGFR mutation status. METHODS: We included 1075 LADC patients undergoing chest CT and EGFR genotype examinations from January 2013 to January 2019. CT morphological characteristics of tumors were carefully evaluated and their correlation with EGFR mutation status was analyzed using the chi-squared test. RESULTS: Tumors were divided into eight types: I (peripheral solid nodule/mass; 526/1075, 48.93%), II (central solid nodule/mass; 220/1075, 20.47%), III (subsolid nodule/mass; 92/1075, 8.56%), IV (focal consolidation; 32/1075, 2.98%), V (cystic airspace; 14/1075, 1.30%), VI (multiple lesions with similar appearances to I-V; 85/1075, 7.91%), VII (diffuse consolidation; 53/1075, 4.93%), VIII (occult lesion usually obscured by nonobstructive atelectasis; 53/1075, 4.93%). Type III and IV tumors were more frequent in patients with EGFR mutation, whereas type II and VII tumors were more common in patients without EGFR mutation (all P < 0.05). However, we did not identify any significant associations between other tumor types and EGFR mutation status (all P > 0.05). Among patients with type VI tumors, EGFR mutation status was closely related to tumor density (all P < 0.05). Furthermore, type VII tumors were associated with 19 deletion mutation positive and non-L858R mutation positive (all P < 0.05). CONCLUSION: LADC can be categorized into eight types based on CT imaging. Improving our understanding of the morphological classification and correlation with EGFR mutation status may contribute to the accurate diagnosis of LADC, while suggesting the presence of underlying EGFR genetic mutations.
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BACKGROUND: Based on the "seed and soil" theory proposed by previous studies, we aimed to develop and validate a combined model of machine learning for predicting lymph node metastasis (LNM) in patients with peripheral lung adenocarcinoma (PLADC). METHODS: Radiomics models were developed in a primary cohort of 390 patients (training cohort) with pathologically confirmed PLADC from January 2016 to August 2018. The patients were divided into the LNM (-) and LNM (+) groups. Thereafter, the patients were subdivided according to TNM stages N0, N1, N2, and N3. Radiomic features from unenhanced computed tomography (CT) were extracted. Radiomic signatures of the primary tumor (R1) and adjacent pleura (R2) were built as predictors of LNM. CT morphological features and clinical characteristics were compared between both groups. A combined model incorporating R1, R2, and CT morphological features, and clinical risk factors was developed by multivariate analysis. The combined model's performance was assessed by receiver operating characteristic (ROC) curve. An internal validation cohort containing 166 consecutive patients from September 2018 to November 2019 was also assessed. RESULTS: Thirty-one radiomic features of R1 and R2 were significant predictors of LNM (all P < 0.05). Sex, smoking history, tumor size, density, air bronchogram, spiculation, lobulation, necrosis, pleural effusion, and pleural involvement also differed significantly between the groups (all P < 0.05). R1, R2, tumor size, and spiculation in the combined model were independent risk factors for predicting LNM in patients with PLADC, with area under the ROC curves (AUCs) of 0.897 and 0.883 in the training and validation cohorts, respectively. The combined model identified N0, N1, N2, and N3, with AUCs ranging from 0.691-0.927 in the training cohort and 0.700-0.951 in the validation cohort, respectively, thereby indicating good performance. CONCLUSION: CT phenotypes of the primary tumor and adjacent pleura were significantly associated with LNM. A combined model incorporating radiomic signatures, CT morphological features, and clinical risk factors can assess LNM of patients with PLADC accurately and non-invasively.
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OBJECTIVES: To investigate the value of combining clinicopathological characteristics with computed tomographic (CT) features of tumours for predicting occult lymph node metastasis (OLNM) in peripheral solid non-small cell lung cancer (PS-NSCLC). METHODS: The study included 478 NSCLC clinically N0 (cN0) patients who underwent lobectomy and systemic lymph node dissection from January 2014 to August 2019. Patients were classified into OLNM and negative lymph node metastasis (NLNM) groups. The CT features of non-metastatic and metastatic lymph nodes with a largest short-diameter > 5 mm were compared in the OLNM group. Thereafter, the clinicopathological characteristics and CT morphological features of tumours were compared between both groups. Multivariable logistic regression analysis and receiver-operating characteristic curve were developed. RESULTS: CT images detected 103 metastatic and 705 non-metastatic lymph nodes, and no significant differences in CT features of lymph nodes were found in all 161 OLNM patients (P > 0.05). For both groups, sex, carcinoembryonic antigen and pathological type differed significantly (all P < 0.05), while tumour size, necrosis, calcification, vascular convergence, pleural involvement, and the shortest interval of tumour-pleura differed significantly on CT images (all P < 0.05). Multivariable logistic regression analysis showed that carcinoembryonic antigen > 5.00 ng/ml, adenocarcinoma, absence of vascular convergence, and pleural involvement of Type II (one linear or cord-like pleural tag or tumour abut to the pleura with a broad base observed on both lung and mediastinal window images) were independent predicting factors of OLNM. CONCLUSIONS: CT findings of lymph nodes can provide limited value and integrating clinicopathological characteristics with the CT morphological features of tumours is helpful in predicting OLNM in patients with PS-NSCLC.
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Carcinoma Pulmonar de Células não Pequenas , Neoplasias Pulmonares , Carcinoma Pulmonar de Células não Pequenas/diagnóstico por imagem , Carcinoma Pulmonar de Células não Pequenas/patologia , Humanos , Neoplasias Pulmonares/diagnóstico por imagem , Neoplasias Pulmonares/patologia , Metástase Linfática/diagnóstico por imagem , Estadiamento de Neoplasias , Tomografia Computadorizada por Raios XRESUMO
BACKGROUND: Pneumonic-type lung adenocarcinoma (PLADC) with different ranges might exhibit different imaging and clinicopathological features. This study divided PLADC into localized PLADC (L-PLADC) and diffuse PLADC (D-PLADC) based on imaging and aimed to clarify the differences in clinical, imaging, and pathologic characteristics between the two new subtypes. RESULTS: The data of 131 patients with L-PLADC and 117 patients with D-PLADC who were pathologically confirmed and underwent chest computed tomography (CT) at our institute from December 2014 to December 2020 were retrospectively collected. Patients with L-PLADC were predominantly female, non-smokers, and without respiratory symptoms and elevated white blood cell count and C-reactive protein level, whereas those with D-PLADC were predominantly male, smokers, and had respiratory symptoms and elevated white blood cell count and C-reactive protein level (all p < 0.05). Pleural retraction was more common in L-PLADC, whereas interlobular fissure bulging, hypodense sign, air space, CT angiogram sign, coexisting nodules, pleural effusion, and lymphadenopathy were more frequent in D-PLADC (all p < 0.001). Among the 129 patients with surgically resected PLADC, the most common histological subtype of L-PLADC was acinar-predominant growth pattern (76.7%, 79/103), whereas that of D-PLADC was invasive mucinous adenocarcinoma (80.8%, 21/26). Among the 136 patients with EGFR mutation status, L-PLADC had a significantly higher EGFR mutation rate than D-PLADC (p < 0.001). CONCLUSIONS: L-PLADC and D-PLADC have different clinical, imaging, and pathological characteristics. This new imaging-based classification may help improve our understanding of PLADC and develop personalized treatment plans, with concomitant implications for patient outcomes.
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OBJECTIVE: To investigate the clinicopathologic and immunophenotypic features of primary breast lymphoma (PBL) and to discuss the diagnosis of the tumor. METHODS: Twenty-one cases of PBL with follow up data were clinically reviewed. The histologic diagnosis of the tumor was based on the updated WHO Classification of tumors of hematopoietic and lymphoid tissues (2008). Immunohistochemistry was performed by SP method and antibodies selected were as follows: CD20, CD3epsilon, CD10, Bcl-6, MUM-1, CD5, Bcl-2, CD23, CD10, cyclin D1, CD43 and Ki67. RESULTS: (1) All 21 patients were female and the median age of patients was 48 years. The right and the left breasts were involved in 11 (52.4%) and 10 patients (47.6%), respectively. According to Ann Arbor staging system, 20 cases were stage I-II (95.2%), and the remaining case was stage IV (4.8%). For the international prognostic index (IPI), 19 cases were score 0-1, and 2 cases were score 2-3. For ECOG score, 19 cases were 0, and the remaining 2 cases were 1. (2) Histologically, all 21 cases (100%) were DLBCL. Immunohistochemically, the frequency of antigen expression was as follows: CD20 (100%), MUM-1 (14/21, 66.7%), bcl-6 (5/21, 23.8%), CD10 (0), bcl-2 (13/21, 61.9%), CD5 (1/21, 4.8%); Ki-67 index: 10 cases (47.6%) were less than 59%, with the expression of seven cases (33.3%) being 60% - 89%, and more than 90% in the remaining four cases (19.1%). The median Ki-67 index was 60%. All the cases were considered non germinal center B-cell-like type of DLBCL. (3) Follow-up data was available in 64% of the cases. One, two and five-year survival rates were 11 cases, 7 cases and 3 cases, respectively. CONCLUSION: All the cases of PBL in the current study were DLBCL, non germinal center B-cell-like type, and a diagnosis of PBL can only be established after excluding breast involvement in systemic lymphoma.
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Antígenos CD20/metabolismo , Neoplasias da Mama/patologia , Linfoma Difuso de Grandes Células B/patologia , Adulto , Idoso , Protocolos de Quimioterapia Combinada Antineoplásica/uso terapêutico , Neoplasias da Mama/tratamento farmacológico , Neoplasias da Mama/metabolismo , Neoplasias da Mama/cirurgia , Ciclofosfamida/uso terapêutico , Doxorrubicina/uso terapêutico , Feminino , Seguimentos , Humanos , Imuno-Histoquímica , Fatores Reguladores de Interferon/metabolismo , Antígeno Ki-67/metabolismo , Linfoma Difuso de Grandes Células B/tratamento farmacológico , Linfoma Difuso de Grandes Células B/metabolismo , Linfoma Difuso de Grandes Células B/cirurgia , Mastectomia Radical , Pessoa de Meia-Idade , Estadiamento de Neoplasias , Prednisona/uso terapêutico , Proteínas Proto-Oncogênicas c-bcl-6/metabolismo , Estudos Retrospectivos , Taxa de Sobrevida , Vincristina/uso terapêutico , Adulto JovemRESUMO
OBJECTIVE: To evaluate the diagnostic utility of Warthin-Starry silver stain, immunohistochemistry and transmission electron microscopy in the detection of human Bartonella henselae infection and pathologic diagnosis of cat scratch disease (CSD). METHODS: The paraffin-embedded lymph node tissues of 77 histologically-defined cases of cat scratch disease collected during the period from January, 1998 to December, 2008 were retrieved and studied using Warthin-Starry silver stain (WS stain) and mouse monoclonal antibody against Bartonella henselae (BhmAB stain). Five cases rich in bacteria were selected for transmission electron microscopy. RESULTS: Under electron microscope, the organisms Bartonella henselae appeared polymorphic, round, elliptical, short rod or bacilliform shapes, ranged from 0.489 to 1.110 microm by 0.333 to 0.534 microm and often clustered together. Black short rod-shaped bacilli arranged in chains or clumps were demonstrated in 61.0% (47/77) of CSD by WS stain. The organisms were located outside the cells and lie mainly in the necrotic debris, especially near the nodal capsule. In 72.7% (56/77) of the cases, dot-like, granular as well as few linear positive signals were observed using BhmAB immunostain and showed similar localization. Positive results for both stains were identified in 59.7% (46/77) of the cases. When applying both stains together, Bartonella henselae was observed in 74.0% (57/77) of the case. The difference between the results obtained by WS stain and BhmAB immunostain was of statistical significance (P < 0.05). CONCLUSIONS: Bartonella henselae is the causative pathogen of cat scratch disease. WS stain, BhmAB immunostain and transmission electron microscopy are helpful in confirming the histologic diagnosis. Immunostaining using BhmAB can be a better alternative than WS stain in demonstrating the organisms.