Differentiated thyroid cancer with osteo-granulomatousinflammation: A case report.

OBJECTIVE: Cryptococcus, a genus of fungi, primarily includes Cryptococcus neoformans and Cryptococcus gattii, both known to cause human infections. Skeletal infections are rare, and there have been no reported cases of bone cryptococcal infection in conjunction with differentiated thyroid carcinoma. SUBJECT AND METHODS: A 56-year-old female presented with a one-month history of "cough and throat irritation." Chest CT revealed scattered small nodules in both lungs,suggestive of metastasis.There was minimal inflammation in both lungs, and scattered lymph nodes were observed in the mediastinum and upper pulmonary hilum. RESULTS: The patient was diagnosed with differentiated thyroid carcinoma complicated by cryptococcal infection. Antifungal treatment with itraconazole 200mg/day was initiated, and after 3 months, clinical symptoms disappeared, with a reduction in lung nodules observed in follow-up chest CT. CONCLUSION: When diagnosing distant metastasis in differentiated thyroid carcinoma, a comprehensive analysis combining imaging studies and serum thyroid globulin plays a complementary role, as illustrated in this case of differentiated thyroid carcinoma concurrent with cryptococcal infection.

Differentiation of granulomatous nodules with lobulation and spiculation signs from solid lung adenocarcinomas using a CT deep learning model.

BACKGROUND: The diagnosis of solitary pulmonary nodules has always been a difficult and important point in clinical research, especially granulomatous nodules (GNs) with lobulation and spiculation signs, which are easily misdiagnosed as malignant tumors. Therefore, in this study, we utilised a CT deep learning (DL) model to distinguish GNs with lobulation and spiculation signs from solid lung adenocarcinomas (LADCs), to improve the diagnostic accuracy of preoperative diagnosis. METHODS: 420 patients with pathologically confirmed GNs and LADCs from three medical institutions were retrospectively enrolled. The regions of interest in non-enhanced CT (NECT) and venous contrast-enhanced CT (VECT) were identified and labeled, and self-supervised labels were constructed. Cases from institution 1 were randomly divided into a training set (TS) and an internal validation set (IVS), and cases from institutions 2 and 3 were treated as an external validation set (EVS). Training and validation were performed using self-supervised transfer learning, and the results were compared with the radiologists' diagnoses. RESULTS: The DL model achieved good performance in distinguishing GNs and LADCs, with area under curve (AUC) values of 0.917, 0.876, and 0.896 in the IVS and 0.889, 0.879, and 0.881 in the EVS for NECT, VECT, and non-enhanced with venous contrast-enhanced CT (NEVECT) images, respectively. The AUCs of radiologists 1, 2, 3, and 4 were, respectively, 0.739, 0.783, 0.883, and 0.901 in the (IVS) and 0.760, 0.760, 0.841, and 0.844 in the EVS. CONCLUSIONS: A CT DL model showed great value for preoperative differentiation of GNs with lobulation and spiculation signs from solid LADCs, and its predictive performance was higher than that of radiologists.

Development and validation of a preoperative CT­based radiomics nomogram to differentiate tuberculosis granulomas from lung adenocarcinomas: an external validation study.

BACKGROUND: An accurate and non-invasive approach is urgently needed to distinguish tuberculosis granulomas from lung adenocarcinomas. This study aimed to develop and validate a nomogram based on contrast enhanced-compute tomography (CE-CT) to preoperatively differentiate tuberculosis granuloma from lung adenocarcinoma appearing as solitary pulmonary solid nodules (SPSN). METHODS: This retrospective study analyzed 143 patients with lung adenocarcinoma (mean age: 62.4 ± 6.5 years; 54.5% female) and 137 patients with tuberculosis granulomas (mean age: 54.7 ± 8.2 years; 29.2% female) from two centers between March 2015 and June 2020. The training and internal validation cohorts included 161 and 69 patients (7:3 ratio) from center No.1, respectively. The external testing cohort included 50 patients from center No.2. Clinical factors and conventional radiological characteristics were analyzed to build independent predictors. Radiomics features were extracted from each CT-volume of interest (VOI). Feature selection was performed using univariate and multivariate logistic regression analysis, as well as the least absolute shrinkage and selection operator (LASSO) method. A clinical model was constructed with clinical factors and radiological findings. Individualized radiomics nomograms incorporating clinical data and radiomics signature were established to validate the clinical usefulness. The diagnostic performance was assessed using the receiver operating characteristic (ROC) curve analysis with the area under the receiver operating characteristic curve (AUC). RESULTS: One clinical factor (CA125), one radiological characteristic (enhanced-CT value) and nine radiomics features were found to be independent predictors, which were used to establish the radiomics nomogram. The nomogram demonstrated better diagnostic efficacy than any single model, with respective AUC, accuracy, sensitivity, and specificity of 0.903, 0.857, 0.901, and 0.807 in the training cohort; 0.933, 0.884, 0.893, and 0.892 in the internal validation cohort; 0.914, 0.800, 0.937, and 0.735 in the external test cohort. The calibration curve showed a good agreement between prediction probability and actual clinical findings. CONCLUSION: The nomogram incorporating clinical factors, radiological characteristics and radiomics signature provides additional value in distinguishing tuberculosis granuloma from lung adenocarcinoma in patients with a SPSN, potentially serving as a robust diagnostic strategy in clinical practice.

18 F-FDG Brain PET/MRI in Granulomatous Primary Angiitis of the Central Nervous System.

ABSTRACT: An 18-year-old man presented with encephalopathy, headache, tremor, and left hemiparesis. 18 F-FDG brain PET/MRI revealed pronounced hypometabolism in the right cerebral hemisphere corresponding to extensive T2/FLAIR signal abnormality, with accompanying miliary enhancement and microhemorrhages in this region. The differential diagnosis favored an autoimmune or inflammatory origin, rather than an infectious or neoplastic etiology. Brain biopsy demonstrated nonnecrotizing granulomatous inflammation affecting the vessel walls, without evidence of glial neoplasm, lymphoma, or infection. Treatment with corticosteroids was subsequently initiated, with favorable clinical response.

Elongated linear vessels simulating branching vessels and diffuse structureless orange areas as prominent dermoscopic features of diffuse flat facial and extrafacial granuloma faciale: A case series.

Dermoscopy can be an important help for the diagnosis of skin cancers and inflammatory cutaneous diseases. The list of the dermoscopic features reported in granuloma faciale is wide and includes vascular and non-vascular features. We report here three cases of diffuse flat facial and extrafacial granuloma faciale that exhibited elongated linear vessels simulating branching vessels and diffuse structureless orange areas. The differential diagnosis between flat-type granuloma faciale, basal cell carcinoma and cutaneous sarcoidosis can be extremely difficult, making histology mandatory before any treatment.

Radioiodine Uptake at Suture Site Granuloma Mimicking Neck Node Metastasis on 131 I Whole-Body Iodine Scintigraphy.

ABSTRACT: Differentiated thyroid carcinoma constitutes over 90% of all thyroid cancers. The standard treatment approach involves total or near-total thyroidectomy with or without neck dissection followed by 131 I whole-body scintigraphy (WBS) to detect local or distant metastases. Radioiodine offers high sensitivity and specificity for detection of metastatic disease in well differentiated thyroid carcinoma. However, despite its high accuracy, 131 I WBS demonstrates false-positive results, mostly at inflammatory or infective site. These false-positive radioiodine accumulation can lead to misdiagnosis and unwarranted radioiodine treatment. This case presents localization of 131 I to the suture site granuloma leading to false-positive results on 131 I WBS.

The role of multiparametric magnetic resonance imaging in the diagnosis of granulomatous prostatitis mimicking prostate cancer.

PURPOSE: Aimed to investigate the role of multiparametric magnetic resonance imaging (mp-MRI) in the diagnosis of granulomatous prostatitis caused by intravesical Bacillus Calmette-Guérin (BCG). METHODS: In this prospective, single-center study, 10 male patients who were given intravesical BCG due to intermediate- and high-risk bladder cancer were included. Before transurethral resection of bladder tumors (TURB), all patients were evaluated by mp-MRI, serum prostate-specific antigen (PSA), and digital rectal examination (DRE). Serum PSA levels and DRE findings were evaluated before and after intravesical BCG treatment. Prostate mp-MRI was performed for patients with elevated levels of serum PSA and/or with abnormal DRE findings. Then, MRI fusion + systematic prostate biopsy was performed. Demographic data of the patients before and after intravesical BCG were compared. RESULTS: The average age of the patients was 66.9 years (55-87 years). While PSA was 1.7 ng/ml before intravesical BCG treatment, it was 4.3 ng/ml after intravesical BCG treatment (p = 0.005). PSA density (PSAD) was 0.04 and 0.10 before and after the treatment, respectively (p = 0.012). DRE findings of all patients were normal before the treatment. However, abnormal findings were detected in 80% of them after the treatment (p = 0.008). PI-RADS ≥ 3 lesions were found to be significantly higher in all patients after intravesical BCG (p = 0.004). CONCLUSION: Granulomatous prostatitis is a rare complication of intravesical BCG. High PSA, abnormal DRE, and PI-RADS ≥ 3 lesions detected after intravesical BCG should suggest granulomatous prostatitis and unnecessary biopsies may be avoided.

A case of progressive xanthogranulomatous pancreatitis with splenic abscess.

Xanthogranulomatous inflammation is a chronic inflammatory reaction microscopically characterized by aggregation of foamy histiocytes, fibrous tissue, and infiltration of various inflammatory cells. In contrast to xanthogranulomatous inflammation in the gallbladder or kidney, xanthogranulomatous pancreatitis is rare. We herein present a case of xanthogranulomatous pancreatitis in a patient who underwent distal pancreatectomy with splenectomy under preoperative suspicion of a pancreatic pseudocyst or pancreatic tumor. A 77-year-old woman with a 1 month history of epigastric pain, anorexia, and general fatigue was admitted to our hospital. Contrast-enhanced computed tomography revealed a cystic mass with ill-defined margins at the pancreatic tail together with a splenic abscess. Contrast-enhanced endoscopic ultrasound detected a hyperechoic cystic lesion at the tail of the pancreas with heterogeneous internal echogenicity, and part of the intra-cystic content was enhanced by the contrast agent. Endoscopic retrograde cholangiopancreatography showed a cystic lesion at the tail of the pancreas that continued into the main pancreatic duct, and the main pancreatic duct was slightly narrowed downstream of the cystic lesion. Pancreatic juice cytology revealed suspicious cells, leading to the possibility of intraductal papillary mucinous carcinoma. Distal pancreatectomy with splenectomy was performed, and the histopathological diagnosis was xanthogranulomatous pancreatitis with no malignant findings.

CRDet: A circle representation detector for lung granulomas based on multi-scale attention features with center point calibration.

Lung granuloma is a very common lung disease, and its specific diagnosis is important for determining the exact cause of the disease as well as the prognosis of the patient. And, an effective lung granuloma detection model based on computer-aided diagnostics (CAD) can help pathologists to localize granulomas, thereby improving the efficiency of the specific diagnosis. However, for lung granuloma detection models based on CAD, the significant size differences between granulomas and how to better utilize the morphological features of granulomas are both critical challenges to be addressed. In this paper, we propose an automatic method CRDet to localize granulomas in histopathological images and deal with these challenges. We first introduce the multi-scale feature extraction network with self-attention to extract features at different scales at the same time. Then, the features will be converted to circle representations of granulomas by circle representation detection heads to achieve the alignment of features and ground truth. In this way, we can also more effectively use the circular morphological features of granulomas. Finally, we propose a center point calibration method at the inference stage to further optimize the circle representation. For model evaluation, we built a lung granuloma circle representation dataset named LGCR, including 288 images from 50 subjects. Our method yielded 0.316 mAP and 0.571 mAR, outperforming the state-of-the-art object detection methods on our proposed LGCR.

Granulomatous orchitis: A case report of misdiagnosis and review of the literature.

Granulomatous orchitis is a relatively rare clinical testicular lesion. The imaging manifestations and clinical symptoms are similar to those of testicular tumors. In order to improve the understanding of this disease, this article reports the ultrasonographic manifestations of a case of granulomatous orchitis and reviews the relevant literature with.

Human T-cell Lymphotropic Virus Type-1-associated Bronchioloalveolar Disorder with Non-necrotizing Granulomas: A Case Report and Literature Review.

Human T-cell lymphotropic virus type-1 (HTLV-1)-associated bronchioloalveolar disorder (HABA) is a pulmonary disorder characterized by lymphocytic infiltration of the peribronchiolar space and interstitium in HTLV-1 carriers and in adult T-cell leukemia/lymphoma (ATLL). We herein report an 85-year-old woman carrying HTLV-1 with HABA who presented with a miliary pattern of micronodules in both lungs on high-resolution computed tomography and a lymphocytic infiltrate with non-necrotizing granulomas on pathology. This rare case of HABA should be differentiated from sarcoidosis, hypersensitivity pneumonitis, or miliary tuberculosis.

Advances in cellular and tissue-based imaging techniques for sarcoid granulomas.

Sarcoidosis embodies a complex inflammatory disorder spanning multiple systems, with its origin remaining elusive. It manifests as the infiltration of inflammatory cells that coalesce into distinctive noncaseous granulomas within afflicted organs. Unraveling this disease necessitates the utilization of cellular or tissue-based imaging methods to both visualize and characterize the biochemistry of these sarcoid granulomas. Although hematoxylin and eosin stain, standard in routine use alongside cytological stains have found utility in diagnosis within clinical contexts, special stains such as Masson's trichrome, reticulin, methenamine silver, and Ziehl-Neelsen provide additional varied perspectives of sarcoid granuloma imaging. Immunohistochemistry aids in pinpointing specific proteins and gene expressions further characterizing these granulomas. Finally, recent advances in spatial transcriptomics promise to divulge profound insights into their spatial orientation and three-dimensional (3-D) molecular mapping. This review focuses on a range of preexisting imaging methods employed for visualizing sarcoid granulomas at the cellular level while also exploring the potential of the latest cutting-edge approaches like spatial transcriptomics and matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI), with the overarching goal of shedding light on the trajectory of sarcoidosis research.

Deep-learning models for differentiation of xanthogranulomatous cholecystitis and gallbladder cancer on ultrasound.

BACKGROUND: The radiological differentiation of xanthogranulomatous cholecystitis (XGC) and gallbladder cancer (GBC) is challenging yet critical. We aimed at utilizing the deep learning (DL)-based approach for differentiating XGC and GBC on ultrasound (US). METHODS: This single-center study comprised consecutive patients with XGC and GBC from a prospectively acquired database who underwent pre-operative US evaluation of the gallbladder lesions. The performance of state-of-the-art (SOTA) DL models (GBCNet-convolutional neural network [CNN] and RadFormer, transformer) for XGC vs. GBC classification in US images was tested and compared with popular DL models and a radiologist. RESULTS: Twenty-five patients with XGC (mean age, 57 ± 12.3, 17 females) and 55 patients with GBC (mean age, 54.6 ± 11.9, 38 females) were included. The performance of GBCNet and RadFormer was comparable (sensitivity 89.1% vs. 87.3%, p = 0.738; specificity 72% vs. 84%, p = 0.563; and AUC 0.744 vs. 0.751, p = 0.514). The AUCs of DenseNet-121, vision transformer (ViT) and data-efficient image transformer (DeiT) were significantly smaller than of GBCNet (p = 0.015, 0.046, 0.013, respectively) and RadFormer (p = 0.012, 0.027, 0.007, respectively). The radiologist labeled US images of 24 (30%) patients non-diagnostic. In the remaining patients, the sensitivity, specificity and AUC for GBC detection were 92.7%, 35.7% and 0.642, respectively. The specificity of the radiologist was significantly lower than of GBCNet and RadFormer (p = 0.001). CONCLUSION: SOTA DL models have a better performance than radiologists in differentiating XGC and GBC on the US.

Systemic sarcoidosis presenting as a rare combination of interstitial nephritis with necrotizing vasculitis and urinary retention due to prostate involvement: a case report.

BACKGROUND: Sarcoidosis affects multiple organs and exhibits diverse clinical manifestations. Although tubulointerstitial nephritis is a known feature of renal involvement, necrotizing vasculitis is rare. Furthermore, prostate involvement with urinary retention is unusual in patients with sarcoidosis. Here, we report a case of systemic sarcoidosis with a rare combination of manifestations and different acute kidney injuries. CASE PRESENTATION: A 66-year-old man developed sudden urinary retention and fever. He was diagnosed with prostatitis and admitted to our hospital. An indwelling urethral catheter was inserted, and antimicrobial therapy was initiated; however, the prostatitis was refractory. Computed tomography revealed enlarged mediastinal lymph nodes. Analysis of transbronchoscopic lymph node and prostate biopsies showed epithelioid cell granulomas, suggesting systemic sarcoidosis. During the clinical course, the serum creatinine level rapidly increased to 2.36 mg/dL without oliguria. A kidney biopsy revealed tubulointerstitial injury with moderate lymphohistiocytic infiltration and small-vessel vasculitis in the interstitium. Following oral administration of 60 mg/day prednisolone, the patient's renal function immediately improved, and urinary retention did not recur. CONCLUSIONS: To the best of our knowledge, this is the first reported case of sarcoidosis with two unusual complications. Given its clinical course and pathology, this case is clinically valuable.

Needle-based confocal laser endomicroscopy for real-time granuloma detection.

BACKGROUND AND OBJECTIVE: Needle-based confocal laser endomicroscopy (nCLE) allows real-time microscopic imaging at the needle tip. nCLE malignancy criteria are used for tool-in-lesion confirmation during bronchoscopic lung nodule analysis. However, to date, nCLE criteria for granulomas are lacking. The aim was to identify and validate nCLE granuloma criteria and assess if blinded raters can distinguish malignant from granulomatous nCLE videos. METHODS: In patients with suspected sarcoidosis, nCLE-imaging of mediastinal lymph nodes was performed during endoscopic ultrasound procedures, followed by needle aspiration. nCLE granuloma criteria were identified by comparison with pathology and final diagnoses. Additionally, nCLE-videos of granulomatous lung nodules part of prospective trials and clinical care were compared to the proposed nCLE granuloma criteria. Blinded raters validated nCLE videos of sarcoid and reactive mediastinal lymph nodes and malignant and granulomatous lung nodules twice. RESULTS: Granuloma criteria were identified (brighter-toned, homogeneous and well-demarcated lesions) based on nCLE-imaging in 14 sarcoidosis patients. Raters evaluated 26 nCLE-videos obtained in lymph nodes (n = 15 sarcoidosis; n = 11 reactive and total of 260 ratings). Granuloma criteria were recognized with 88% accuracy. The inter-observer (κ = 0.63, 95% CI 0.54-0.72) and intra-observer reliability (κ = 0.70 ± 0.06) were substantial. Based on 12 nCLE-videos obtained in lung nodules (n = 4 granulomas, n = 6 malignancy, n = 2 malignancy + granulomas and total of 120 ratings) granuloma and malignancy criteria were recognized with 92% and 75% accuracy. CONCLUSION: nCLE imaging facilitates real-time granuloma visualization. Blinded raters accurately and consistently recognized granulomas on nCLE-imaging and distinguished nCLE granuloma criteria from malignancy. Our data show the potential of nCLE as a real-time bronchoscopic guidance tool for lung nodule analysis.

Tattoo-associated sarcoidosis from a nuclear medicine perspective.

Tattoo-associated sarcoidosis is characterized by granulomas in tattoos with or without the involvement of other organ systems such as the lungs and eyes. 18F-fluorodeoxyglucose (18F-FDG PET is a nuclear medicine imaging study that can differentiate between metabolically over-active areas and normal tissue. Thus, this review finds that 18F-FDG-PET/CT imaging can be used to image inflammatory activity in tattoos and in case of papulonodular tattoo reaction be used to investigate possible systemic sarcoidosis.