Prediction of pulmonary metastasis in esophageal carcinoma patients with indeterminate pulmonary nodules.

BACKGROUND: Indeterminate pulmonary nodules (IPNs) are common after surgery for esophageal cancer. The paucity of data on postoperative IPNs for esophageal cancer causes a clinical dilemma. OBJECTIVE: The aim of this study was to identify the characteristics and clinical significance of IPNs after radical esophagectomy for metastatic esophageal cancer, determine the risk factors for pulmonary metastasis, and construct a risk score model to standardize the appropriate time to either follow up or treat the patient. METHODS: All consecutive patients with esophageal squamous cell carcinoma (ESCC) who underwent radical surgery between 2013 and 2016 were included in this retrospective study. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors and develop risk score models. RESULTS: A total of 816 patients were enrolled in the study. During a median follow-up period of 45 months, IPNs were detected in 221 (27.1%) patients, of whom 66 (29.9%) were diagnosed with pulmonary metastases. The following five variables maintained prognostic significance after multivariate analyses: the pathologic N category, number of IPNs, shape of IPNs, time of detection of IPNs, and size of IPNs. The Pulmonary Metastasis Prediction Model (PMPM) scale ranges from 0 to 15 points, and patients with higher scores have a higher probability of pulmonary metastases. The Hosmer-Lemeshow test showed a good calibration performance of the clinical prediction model (χ2 = 8.573, P = 0.380). After validation, the PMPM scale showed good discrimination with an AUC of 0.939. CONCLUSION: A PMPM scale for IPNs in patients who underwent esophagectomy for ESCC may be clinically useful for diagnostic and therapeutic decision-making.

Analysis of the interactions between small pulmonary nodules, clinical factors and the risk of malignancy in the chest following diagnosis of head and neck cancer.

BACKGROUND: This study aims to investigate radiological and clinical factors which predict malignancy in indeterminate pulmonary nodules in patients with head and neck cancer (HNC). METHODS: Prospective data were collected in 424 patients who were reviewed in the NHS Lothian HNC multidisciplinary meeting from May 2016 to May 2018. Staging and follow-up CT chest imaging were reviewed to identify and assess pulmonary nodules in all patients. RESULTS: About 61.8% of patients had at least one pulmonary nodule at staging CT. In total, 25 patients developed malignancy in the chest. Metastatic disease in the chest was significantly associated with unknown or negative p16 status (p < .0005). Pleural indentation and spiculation were associated with indeterminate nodules, subsequently being shown to represent metastatic disease (p > .0005 and p = .046, respectively). CONCLUSION: Negative or unknown p16 status was associated with an increased propensity to develop metastatic disease in the chest in patients with HNC.

Indeterminate Pulmonary Nodules in Osteosarcoma Are Associated With Increased Risk of Pulmonary Metastasis.

Osteosarcoma is the most common primary malignant bone tumor in children. In addition to pulmonary metastasis, computed tomography frequently detects indeterminate pulmonary nodules (IPN). We conducted this study to determine the clinical significance of IPN in terms of progression to pulmonary metastasis and its impact on survival. It was a retrospective cohort study of pediatric nonmetastatic osteosarcoma patients treated from January 2005 to December 2018. Baseline computed tomography scans were reviewed for the presence of IPN (defined as a single nodule of <10 mm or ≥3 nodules of <5 mm). Subsequent scans were reviewed for the development of pulmonary metastasis. Of 155 patients, 31.6% (n=49) had IPN at baseline. A total of 43% (n=21) of those with IPN subsequently progressed to pulmonary metastasis compared with only 26% (n=28) of those without IPN (P<0.001) with a relative risk of 1.6 (1.03 to 2.5) in the IPN group. Patients with ≥3 IPN at baseline were at significantly greater risk of pulmonary metastasis as compared with <3 IPN (P=0.013). Overall and event-free survival in patients with and without IPN was 58% and 35%, and 72% and 46%, respectively. Our results suggest that patients with IPN may be at greater risk for progressing to pulmonary metastasis.

Artificial intelligence for detecting small FDG-positive lung nodules in digital PET/CT: impact of image reconstructions on diagnostic performance.

OBJECTIVES: To evaluate the diagnostic performance of a deep learning algorithm for automated detection of small 18F-FDG-avid pulmonary nodules in PET scans, and to assess whether novel block sequential regularized expectation maximization (BSREM) reconstruction affects detection accuracy as compared to ordered subset expectation maximization (OSEM) reconstruction. METHODS: Fifty-seven patients with 92 18F-FDG-avid pulmonary nodules (all ≤ 2 cm) undergoing PET/CT for oncological (re-)staging were retrospectively included and a total of 8824 PET images of the lungs were extracted using OSEM and BSREM reconstruction. Per-slice and per-nodule sensitivity of a deep learning algorithm was assessed, with an expert readout by a radiologist/nuclear medicine physician serving as standard of reference. Receiver-operator characteristic (ROC) curve of OSEM and BSREM were assessed and the areas under the ROC curve (AUC) were compared. A maximum standardized uptake value (SUVmax)-based sensitivity analysis and a size-based sensitivity analysis with subgroups defined by nodule size was performed. RESULTS: The AUC of the deep learning algorithm for nodule detection using OSEM reconstruction was 0.796 (CI 95%; 0.772-0.869), and 0.848 (CI 95%; 0.828-0.869) using BSREM reconstruction. The AUC was significantly higher for BSREM compared to OSEM (p = 0.001). On a per-slice analysis, sensitivity and specificity were 66.7% and 79.0% for OSEM, and 69.2% and 84.5% for BSREM. On a per-nodule analysis, the overall sensitivity of OSEM was 81.5% compared to 87.0% for BSREM. CONCLUSIONS: Our results suggest that machine learning algorithms may aid detection of small 18F-FDG-avid pulmonary nodules in clinical PET/CT. AI performed significantly better on images with BSREM than OSEM. KEY POINTS: • The diagnostic value of deep learning for detecting small lung nodules (≤ 2 cm) in PET images using BSREM and OSEM reconstruction was assessed. • BSREM yields higher SUVmaxof small pulmonary nodules as compared to OSEM reconstruction. • The use of BSREM translates into a higher detectability of small pulmonary nodules in PET images as assessed with artificial intelligence.

Clinical significance of subcentimeter pulmonary nodules in patients undergoing hepatectomy for colorectal liver metastases.

BACKGROUND AND OBJECTIVES: The clinical significance of lung metastases regarded as subcentimeter pulmonary nodules (SPN) before hepatectomy for colorectal liver metastases (CLM) has not been assessed well. METHODS: The data from 569 patients undergoing hepatectomy for CLM from 2010 to 2016 were reviewed. The presence and final diagnosis of SPN were analyzed for their association with overall survival (OS). RESULTS: A total of 143 patients had SPN (25.1%). SPN were proved to be lung metastases in 43 patients (30.1%). Before hepatectomy, lung metastases were suspected in 25 patients (sensitivity: 58%; specificity: 100%). The 5-year OS of patients with lung metastases (45.4%) was worse than that of those with no pulmonary nodules (60.9%, P = .003). There was no significant difference in the 5-year OS between the patients with lung metastases diagnosed after hepatectomy (48.7%) and before hepatectomy (41.2%, P = .432). The 5-year OS of patients who underwent surgery for lung metastases after hepatectomy (60.5%) was similar to that of those with no pulmonary nodules and benign pulmonary nodules (60.9%, P = .6310; 44.0%, P = .899). CONCLUSION: Although diagnostic sensitivity for SPN before hepatectomy is low, timing of diagnosis does not affect OS. Conclusive lung resection offers OS similar to that of patients without lung metastases.

The yield of chest computed tomography in patients with locally advanced pancreatic cancer.

OBJECTIVE: To evaluate the incidence of pulmonary metastases on chest computed tomography (CT) in patients with locally advanced pancreatic cancer (LAPC). METHODS: All patients diagnosed with LAPC in a single tertiary center (Erasmus MC) between October 2011 and December 2017 were reviewed. The staging chest CT scan and follow-up chest CT scans were evaluated. Pulmonary nodules were divided into three categories: apparent benign, too small to characterize, and apparent malignant. RESULTS: In 124 consecutive patients diagnosed with LAPC, 119 (96%) patients underwent a staging chest CT scan at the initial presentation. In 88 (74%) patients no pulmonary nodules were found; in 16 (13%) patients an apparent benign pulmonary nodule was found, and in 15 (13%) patients a pulmonary nodule too small to characterize was found. Follow-up chest CT scan(s) were performed in 111 (93%) patients. In one patient with either no pulmonary nodule or an apparent benign pulmonary nodule at initial staging, an apparent malignant pulmonary nodule was found on a follow-up chest CT scan. However, a biopsy of the nodule was inconclusive. Of 15 patients in whom a pulmonary nodule too small to characterize was found at staging, 12 (80%) patients underwent a follow-up CT scan; in 4 (33%) of these patients, an apparent malignant pulmonary nodule was found. CONCLUSION: In patients with LAPC in whom at diagnosis a chest CT scan revealed either no pulmonary nodules or apparent benign pulmonary nodules, routine follow-up chest CT scans is not recommended. Patients with pulmonary nodules too small to characterize are at risk to develop apparent malignant pulmonary nodules during follow-up.

The diagnostic significance of pulmonary nodules on CT thorax in chondrosarcoma of bone.

AIM: To provide a diagnostic approach to pulmonary nodules in patients with chondrosarcoma. MATERIALS AND METHODS: A search of the oncology database at a specialist orthopaedic oncology referral centre was performed to identify all patients who were treated surgically for chondrosarcoma between January 2007 and December 2018. Reports from the computed tomography (CT) examinations of the thorax of these patients were reviewed. In patients who had pulmonary nodules/metastases identified on CT, data on the primary chondrosarcoma and pulmonary nodule characteristics were collected. RESULTS: Twenty point two percent of patients had a pulmonary nodule identified on either initial or follow-up staging CT of the thorax, of which 8.1% were pulmonary metastases. Patients with grade 3 and dedifferentiated chondrosarcoma were more likely to have pulmonary metastases than patients with grade 1/2 chondrosarcoma. The time interval to developing metastases was shorter in patients with grade 2/3 and dedifferentiated chondrosarcoma versus patients with grade 1 chondrosarcoma. A low proportion of patients with grade 1 chondrosarcoma developed metastases (12.5%), all of which were identified at the time of a local recurrence. Nodules ≥10mm, nodules with lobulate margins, nodules containing irregular or subtle calcification, and nodules seen bilaterally or both centrally and peripherally were more likely to represent pulmonary metastases than benign nodules. CONCLUSION: The diagnostic significance of pulmonary nodules (i.e., whether they represent pulmonary metastases or not) can be predicted by taking into account a number of factors, in particular, the histological grade of the patient's chondrosarcoma, the size and margins of the nodules, and the presence of subtle/irregular calcification.

A cloud-based computer-aided detection system improves identification of lung nodules on computed tomography scans of patients with extra-thoracic malignancies.

OBJECTIVES: To compare unassisted and CAD-assisted detection and time efficiency of radiologists in reporting lung nodules on CT scans taken from patients with extra-thoracic malignancies using a Cloud-based system. MATERIALS AND METHODS: Three radiologists searched for pulmonary nodules in patients with extra-thoracic malignancy who underwent CT (slice thickness/spacing 2 mm/1.7 mm) between September 2015 and March 2016. All nodules detected by unassisted reading were measured and coordinates were uploaded on a cloud-based system. CAD marks were then reviewed by the same readers using the cloud-based interface. To establish the reference standard all nodules ≥ 3 mm detected by at least one radiologist were validated by two additional experienced radiologists in consensus. Reader detection rate and reporting time with and without CAD were compared. The study was approved by the local ethics committee. All patients signed written informed consent. RESULTS: The series included 225 patients (age range 21-90 years, mean 62 years), including 75 patients having at least one nodule, for a total of 215 nodules. Stand-alone CAD sensitivity for lesions ≥ 3 mm was 85% (183/215, 95% CI: 82-91); mean false-positive rate per scan was 3.8. Sensitivity across readers in detecting lesions ≥ 3 mm was statistically higher using CAD: 65% (95% CI: 61-69) versus 88% (95% CI: 86-91, p<0.01). Reading time increased by 11% using CAD (296 s vs. 329 s; p<0.05). CONCLUSION: In patients with extra-thoracic malignancies, CAD-assisted reading improves detection of ≥ 3-mm lung nodules on CT, slightly increasing reading time. KEY POINTS: • CAD-assisted reading improves the detection of lung nodules compared with unassisted reading on CT scans of patients with primary extra-thoracic tumour, slightly increasing reading time. • Cloud-based CAD systems may represent a cost-effective solution since CAD results can be reviewed while a separated cloud back-end is taking care of computations. • Early identification of lung nodules by CAD-assisted interpretation of CT scans in patients with extra-thoracic primary tumours is of paramount importance as it could anticipate surgery and extend patient life expectancy.

An extremely rare case of adrenocortical cancer with cannon ball pulmonary metastasis.

Multiple pulmonary nodules on chest X-ray, known commonly as cannon ball secondaries, are the classical presentation of hematogenous dissemination of a malignant tumor to the lungs. This almost always indicates an advanced stage of the disease with a very grim outlook in terms of cure or survival. In this case report, we present a patient with very extensive cannon ball lung metastases due to adrenocortical carcinoma with a more favorable prognosis. This is the first case described in the literature of cannonball lung metastases from adrenocortical tumor in a man.

Are Staging Computed Tomography (CT) Scans of the Chest Necessary in Pancreatic Adenocarcinoma?

BACKGROUND: There is no consensus on the use of chest imaging in pancreatic ductal adenocarcinoma (PDAC) patients. Among PDAC patients, we examined the use of chest computed tomography (CT) over time and determined whether the use of chest CT led to a survival difference or change in management via identification of indeterminate lung nodules (ILNs). METHODS: Retrospective clinical data was collected for patients diagnosed with PDAC from 1998 to 2014. We examined the proportion of patients undergoing staging chest CT scan and those who had ILN, defined as ≥ 1 well-defined, noncalcified lung nodule(s) ≤ 1 cm in diameter. We determined time to overall survival (OS) using multivariate Cox regression. We also assessed changes in management of PDAC patients who later developed lung metastasis only. RESULTS: Of the 2710 patients diagnosed with PDAC, 632 (23%) had greater than one chest CT. Of those patients, 451 (71%) patients had ILNs, whereas 181 (29%) had no ILNs. There was no difference in median overall survival in patients without ILNs (16.4 [13.6, 19.0] months) versus those with ILN (14.8 [13.6, 15.8] months, P = 0.18). Examining patients who developed isolated lung metastases (3.3%), we found that staging chest CTs did not lead to changes in management of the primary abdominal tumor. CONCLUSIONS: Survival did not differ for PDAC patients with ILNs identified on staging chest CTs compared with those without ILNs. Furthermore, ILN identification did not lead to changes in management of the primary abdominal tumor, questioning the utility of staging chest CTs for PDAC patients.

Clinical implications of nonspecific pulmonary nodules identified during the initial evaluation of patients with head and neck squamous cell carcinoma.

OBJECTIVE: We aimed to identify the clinical implications of nonspecific pulmonary nodules (NPNs) detected in the initial staging workup for patients with head and neck squamous cell carcinoma (HNSCC). METHODS: Medical records of patients who had been diagnosed and treated in our hospital were retrospectively analysed. After definite treatment, changes of NPNs detected on initial evaluation were monitored via serial chest computed tomography. The associations between NPNs and the clinicopathological characteristics of primary HNSCC were evaluated. Survival analyses were performed according to the presence of NPNs. RESULTS: The study consisted of 158 (49.4%) patients without NPNs and 162 (50.6%) patients with NPNs. The cumulative incidence of probabilities of pulmonary malignancy (PM) development at 2 years after treatment were 9.0% and 6.2% in NPN-negative and NPN-positive patients, respectively. Overall and PM-free survival rates were not significantly different according to NPN status. Cervical lymph node (LN) involvement and a platelet-lymphocyte ratio (PLR) ≥126 increased the risk of PMs (both P <0.05). CONCLUSIONS: NPNs detected in the initial evaluation of patients with HNSCC did not predict the risk of pulmonary malignancies. Cervical LN involvement and PLR ≥126 may be independent prognostic factors affecting PM-free survival regardless of NPN status. KEY POINTS: • We aimed to identify the clinical implications of nonspecific pulmonary nodules (NPNs). • NPNs in head and neck cancer patients do not lead to pulmonary malignancies (PMs). • NPNs are not associated with overall or PM-free survival (PMFS). • Cervical lymph node involvement is an independent prognostic factor affecting PMFS. • Platelet-lymphocyte ratio ≥126 is another predictor of PMFS regardless of NPN presence.

Management of pulmonary nodules in head and neck cancer patients - Our experience and interpretation of the British Thoracic Society Guidelines.

BACKGROUND: and purpose of the study: The frequency of lung nodules in the head and neck cancer population is unknown, currently the only guidance available recommends following local policy. The aim of this study was to determine the incidence of pulmonary nodules in our head and neck cancer group and interpret the recently updated British Thoracic Society (BTS) Lung Nodule Guidelines in a head and neck cancer setting. METHODS: 100 patients were diagnosed with head and neck cancer between July 2013-March 2014, clinico-pathological, demographic and radiological data was extracted from the electronic records. Images with lung findings were re-reviewed by a single consultant radiologist for patients with lung pathology on the initial staging CT report. RESULTS: Twenty patients (20%) had discreet pulmonary findings on CT. Eleven (11%) had lung nodules, 6 (6%) had lesions suspicious for metastasis and 3 (3%) had co-incidental bronchogenic primary cancers. These patients were re-imaged between 6 and 18 months and in 1 patient the previously identified 7 mm nodule had progressed to 16 mm at 1 year. There was no set follow up imaging protocol used. CONCLUSION: The MDT in NHS Lothian has reviewed the BTS guidance and now has a local policy for the management of lung nodules in head and neck cancer patients. Lung Nodules in the head and neck cancer population are common >10%. Higher risk patients with larger nodules should be risk assessed with validated assessment tools. PET-CT has a place in the assessment of lung nodules when risk of malignancy is high.

Prediction of pulmonary metastasis in pulmonary nodules (≤10 mm) detected in patients with primary extrapulmonary malignancy at thin-section staging CT.

PURPOSE: To investigate the predictive clinical and imaging factors associated with pulmonary metastasis in pulmonary nodules (PNs) ≤10 mm in patients with primary extrapulmonary malignancy (PEPM) on initial CT as well as the inter-nodular imaging features in the non-solitary PNs patients, to make a more reliable diagnosis and appropriate management of the PNs at an earlier stage after detection. MATERIALS AND METHODS: 161 patients with PNs ≤10 mm were reviewed from April 2013 to December 2013. The nature of PNs were determined on the interval change in imaging features on serial CT images (158 patients) and histologically proven (three patients). Independent predictors of changed PNs on initial CT were examined by multivariate regression analysis. RESULTS: 36.6% of patients developed interval change in nodules size. The average interval of the first change was 65.0 days (29-144 days). Tumor staging of III (P = 0.011) and IV (P < 0.001), the nodules number of 2-4 (P = 0.016), 5-9 (P < 0.001) and 10-20 (P < 0.001), the nodules margin of being smooth (P = 0.001) and slight lobulated (P < 0.001), and nodules with no near short strips (P = 0.001) were significant predictors of changed PNs. For patients with non-solitary PNs, 40.2% had PNs with identical imaging features, the incidence rate of change of which (74.3%) was significantly higher compared with that of varied features (32.7%), P < 0.001; and 94.3% of patients had all nodules per patient showing consistent prognosis. CONCLUSIONS: For PNs ≤10 mm in patients with PEPM on baseline CT, the morphological characteristics and primary malignancies stage could differentiate the majority of the PNs. The interval for further CT evaluation of uncertain PNs should be early at 1-3 months after detection, and increased alert is needed for the possibility of pulmonary metastasis when an early interval change was detected.

Detection of Small Pulmonary Nodules with Ultrashort Echo Time Sequences in Oncology Patients by Using a PET/MR System.

PURPOSE: To investigate the utility of a free-breathing ultrashort echo time (UTE) sequence for the evaluation of small pulmonary nodules in oncology patients by using a hybrid positron emission tomography (PET)/magnetic resonance (MR) imaging system and to compare the nodule detection rate between UTE and a conventional three-dimensional gradient-recalled-echo (GRE) technique. MATERIALS AND METHODS: In this HIPAA-compliant, institutional review board-approved prospective study, 82 pulmonary nodules were identified in eight patients with extrathoracic malignancies. Patients underwent free-breathing UTE and dual-echo three-dimensional GRE imaging of the lungs in a hybrid PET/MR imaging unit immediately after clinical PET/computed tomography (CT). CT was considered the reference standard for nodule detection. Two reviewers identified nodules and obtained measurements on MR images. The McNemar test was used to evaluate differences in nodule detection rate between MR techniques, and interrater agreement was assessed by using Bland-Altman plots. RESULTS: Mean nodule diameter ± standard deviation was 6.2 mm ± 2.7 (range, 3-17 mm). The detection rate was higher for UTE imaging than for dual-echo GRE imaging for nodules of at least 4 mm (82% vs 34%, respectively; P < .001), with the largest difference in detection noted in the 4-8-mm nodule group (79% vs 21%, P < .001). UTE imaging displayed a higher detection rate than dual-echo GRE imaging for nodules without fluorodeoxyglucose avidity (68% vs 22%, respectively; P < .001). Interrater reliability of nodule detection with MR imaging was high (κ = 0.90 for UTE imaging and κ = 0.92 for dual-echo GRE imaging). CONCLUSION: A free-breathing UTE sequence has high sensitivity for the detection of small pulmonary nodules (4-8 mm) and outperformed a three-dimensional dual-echo GRE technique for the detection of small, non-fluorodeoxyglucose-avid nodules.

Spontaneous Regression of Hepatocellular Carcinoma with Multiple Lung Metastases: A Case Report and Review of the Literature.

Spontaneous regression of hepatocellular carcinoma (HCC) is a rare event. Here we present a case of spontaneous regression of metastatic HCC. A 53-year-old man with hepatitis C and alcoholic cirrhosis was found to have a large liver mass consistent with HCC based on its radiographic features. Imaging also revealed left portal and hepatic vein thrombosis, as well as multiple lung nodules concerning for metastases. Approximately 2 months after the initial diagnosis, both the primary liver lesion and the lung metastases decreased in size and eventually resolved without any intervention. Thereafter, the left hepatic vein thrombus progressed into the inferior vena cava and the right atrium, and the patient died due to right heart failure. In this case report and literature review, we discuss the potential mechanisms for and review the literature on spontaneous regression of metastatic HCC.

Clinical Significance of Multiple Pulmonary Metastasectomy for Hepatocellular Carcinoma.

BACKGROUND: The lung is the most common site of extrahepatic metastasis from hepatocellular carcinoma (HCC). The aim of this study was to evaluate the significance and long-term outcomes of pulmonary metastasectomy for HCC, especially in patients with multiple nodules or repeated pulmonary recurrence. METHODS: We retrospectively analyzed 19 patients who underwent pulmonary metastasectomy for HCC at our institution from 1993 to 2013. RESULTS: No in-hospital mortality occurred. The 19 patients included 14 men. The median age was 61 (range 20-76) years. Eight patients (42 %) had single pulmonary metastatic lesions, whereas 4 (21 %) had >10 lesions. Median follow-up after pulmonary metastasectomy was 23.1 (6.3-230) months. Twelve patients died, and the cause of death was HCC progression in nine. The 1-, 3-, 5-, and 10-year overall survival rates after pulmonary metastasectomy were 89, 48, 48, and 21 %, respectively. Seven patients developed pulmonary recurrence after initial pulmonary metastasectomy. Five of the seven underwent repeat metastasectomy, with a median survival time of 65 months, and 2- and 3-year survival rates of 100 and 67 %, respectively. The 2- and 3-year survival rates in the four patients with >10 pulmonary nodules were 75 and 50 %, respectively. CONCLUSIONS: Surgical resection is a safe and effective treatment in selected patients with pulmonary metastasis from HCC, even in those with multiple nodules. Repeated locoregional therapy for lung recurrence might help to improve survival in these patients.

Dual-energy computed tomography for evaluation of pulmonary nodules with emphasis on metastatic lesions.

BACKGROUND: The contrast enhancement of pulmonary nodules is a differential diagnostic criterion which can be helpful in staging investigations. PURPOSE: To investigate the impact of dual-energy computed tomography (DECT) with regards to the evaluation of pulmonary nodules with emphasis on metastatic lesions. MATERIAL AND METHODS: DECT scans of the thorax were performed in 70 consecutive patients. Data of the lung were acquired in the arterial and in delayed venous phase. The virtual native and overlay image data based on arterial and delayed venous phase of these lesions were compared using CT density values (HU) within the nodule tested for statistical significance. RESULTS: A total of 156 pulmonary lesions ≥5 mm were identified on 70 DECT scans. There were no significant differences between the CT-value measurements in the virtual native images based on the arterial and delayed venous phase (27.9+/-3.9 HU vs.28.1+/-4.2 HU, P = 0.89) and between the CT-value measurements in the overlay images based on the arterial und delayed venous phase (35.5+/-6.8 HU vs. 36.6+/-5.0 HU, P = 0.75). Metastases of colorectal carcinoma (51.4+/-9.4 HU vs. 32.5+/-8.9 HU, P = 0.0001), malignant melanoma (56.1+/-6.4 HU vs. 34.2+/-1.6 HU, P = 0.0045), and thyroid cancer (53.5+/-15.5 HU vs. 15.7+/-4.2 HU, P = 0.001) showed a distinct wash-out, whereas metastases of lung cancer (23.1+/-6.3 HU vs. 58.6+/-4.8 HU, P = 0.001), salivary gland cancer (41.4+/-20.3 HU vs. 65.7+/-15.7 HU, P = 0.023), and sarcoma (56.2+/-7.4 HU vs. 90.2+/-3.4 HU, P = 0.001) had an increased enhancement in the delayed venous phase. CONCLUSION: The contrast enhancement behavior of pulmonary metastases can be evaluated with DECT and depends on the type of the primary malignant tumor.

Malignant mesonephric tumor of the cervix with an initial manifestation as pulmonary metastasis: case report and review of the literature.

Malignant mesonephric tumor (MMT) is a relatively uncommon malignancy of the female genital tract. The diagnosis of metastatic MMT is difficult because cytological, pathological, immunohistochemical characteristics of MMT are under-recognized. The authors present a 55-year-old female with metastatic pulmonary nodules. The bronchial washing cytology revealed three dimensional clusters of bland epithelial cells with slight nuclear grooves. A corresponding lung histology had ductal or tubular clusters of epithelial cells with intraglandular eosinophilic materials. These epithelial cells were positive for immunohistochemical stain of CD10, suggesting metastasis from MMT. The cervical smear showed clusters of bland, gland-forming epithelial cells with intraglandular eosinophilic materials. On histologic examination, mesonephric adenocarcinoma with papillary and solid proliferation was identified in the uterine cervix. A review of the literature for 72 cases of MMT is also included. Clinical and cytopathological features of MMT are herein made available.

Pulmonary nodules in liver transplant candidates with hepatocellular carcinoma: Imaging characteristics and clinical outcomes.

No guidelines exist for the management of pulmonary nodules in patients with hepatocellular carcinoma (HCC) who are being evaluated for liver transplantation. The 172 patients with HCC who were listed for liver transplant at our institution received both pretransplant chest computed tomography (CT) and follow-up CT. Pulmonary nodules on CT were characterized and followed on subsequent scans by a blinded radiologist, with a consensus review with a second radiologist being performed for equivocal cases. Nodule characteristics and outcomes were examined with chi-square tests, and the posttransplant survival of patients with different nodule outcomes was compared. Cumulative probabilities of waiting-list removal for nontransplant patients and cumulative probabilities of undergoing transplantation for all patients were also compared between patients with and without pulmonary nodules. Of all the patients, 76.2% had at least 1 pulmonary nodule on pretransplant CT, with 301 total nodules characterized; 2.7% of nodules represented HCC metastases, 1.0% represented other bronchopulmonary malignancies, and 2.7% represented infections. None of the malignant nodules exhibited a triangular/lentiform shape or calcifications. There were no statistically significant differences in pulmonary nodule outcomes between patients who underwent transplantation and those who did not undergo transplantation. No significant differences in posttransplant survival were found between patients with different nodule outcomes. There was also no significant difference between patients with and without nodules in the cumulative probabilities of waiting-list removal. However, the cumulative probability of undergoing liver transplantation was borderline significantly higher in patients without pulmonary nodules. In conclusion, despite the low prevalence of malignant nodules, all pulmonary nodules besides triangular/lentiform-shaped or calcified nodules should be followed with serial CT while the patient is on the transplant list, with biopsy performed for new and/or enlarged nodules. Both malignancy and active infection must be excluded when one is confronted with enlarged pulmonary nodules. Clinicians should also be aware of the possibility of reactivation of a granulomatous infection after transplantation.