Background 18F-fluorodeoxyglucose (FDG) PET/CT is recommended for evaluation of intermediate-risk indeterminate pulmonary nodules (IPNs). While highly sensitive, the specificity of FDG remains suboptimal for differentiating malignant from benign nodules, particularly in areas where fungal lung diseases are prevalent. Thus, a cancer-specific imaging probe is greatly needed. In this study, we tested the hypothesis that a PET radiotracer (S)-4-(3-[18F]-fluoropropyl)-L-glutamic acid (FSPG) improves the diagnostic accuracy of IPNs compared to 18F-FDG PET/CT. Methods This study was conducted at a major academic medical center and an affiliated VA medical center. Twenty-six patients with newly discovered IPNs 7-30mm diameter or newly diagnosed lung cancer completed serial PET/CT scans utilizing 18F-FDG and 18F-FSPG, without intervening treatment of the lesion. The scans were independently reviewed by two dual-trained diagnostic radiology and nuclear medicine physicians. Characteristics evaluated included quantitative SUVmax values of the pulmonary nodules and metastases. Results A total of 17 out of 26 patients had cancer and 9 had benign lesions. 18F-FSPG was negative in 6 of 9 benign lesions compared to 7 of 9 with 18F-FDG. 18F-FSPG and 18F-FDG were positive in 14 of 17 and 12 of 17 malignant lesions, respectively. 18F-FSPG detected brain and intracardiac metastases missed by 18F-FDG PET in one case, while 18F-FDG detected a metastasis to the kidney missed by 18F-FSPG. Conclusion In this pilot study, there was no significant difference in overall diagnostic accuracy between 18F-FSPG and 18F-FDG for the evaluation of IPNs and staging of lung cancer. Additional studies will be needed to determine the clinical utility of this tracer in the management of IPNs and lung cancer.

Objectives: To investigate the potential utility of intra-oral ultrasound (IOUS) in guiding deep margin clearance and measuring depth of invasion (DOI) of oral tongue carcinomas (OTC). 3Materials and Methods: Retrospective chart review of consecutive patients with T1-T3 OTC who underwent intraoperative ultrasound-guided resection and a comparator group that had undergone resection without the use of IOUS both by a single surgeon. Data was extracted from operative, pathology and radiology reports. Deep margins and DOI were reviewed by a dedicated head and neck pathologist. Correlation between histologic and ultrasound DOI was assessed using Pearson correlation. Results: A total of 23 patients were included in the study cohort with a comparator group of 21 patients in the control group. None of the patients in the study cohort had a positive (cut-through) deep margin and the mean deep margin clearance was 8.5 +/- 4.9 and 6.7 +/- 3.8 for the IOUS and non-IOUS groups respectively (p-value 0.18) showing a non-significant improvement in the IOUS group. As a secondary outcome, there was a strong correlation between histologic and ultrasound DOI (0.9449). Conclusion: Ultrasound appears to be a potentially effective tool in guiding OTC resections. In this small series, IOUS facilitated deep margin clearance and resulted in a non-statistically significant increase in deep margin clearance. Intraoral ultrasound can accurately measure lesional DOI.

Rationale: Patients with indeterminate pulmonary nodules (IPNs) at risk of cancer undergo high rates of invasive, costly, and morbid procedures. Objectives: To train and externally validate a risk prediction model that combined clinical, blood, and imaging biomarkers to improve the noninvasive management of IPNs. Methods: In this prospectively collected, retrospective blinded evaluation study, probability of cancer was calculated for 456 patient nodules using the Mayo Clinic model, and patients were categorized into low-, intermediate-, and high-risk groups. A combined biomarker model (CBM) including clinical variables, serum high sensitivity CYFRA 21-1 level, and a radiomic signature was trained in cohort 1 (n = 170) and validated in cohorts 2-4 (total n = 286). All patients were pooled to recalibrate the model for clinical implementation. The clinical utility of the CBM compared with current clinical care was evaluated in 2 cohorts. Measurements and Main Results: The CBM provided improved diagnostic accuracy over the Mayo Clinic model with an improvement in area under the curve of 0.124 (95% bootstrap confidence interval, 0.091-0.156; P < 2 x 10(-16)). Applying 10% and 70% risk thresholds resulted in a bias-corrected clinical reclassification index for cases and control subjects of 0.15 and 0.12, respectively. A clinical utility analysis of patient medical records estimated that a CBM-guided strategy would have reduced invasive procedures from 62.9% to 50.6% in the intermediate-risk benign population and shortened the median time to diagnosis of cancer from 60 to 21 days in intermediate-risk cancers. Conclusions: Integration of clinical, blood, and image biomarkers improves noninvasive diagnosis of patients with IPNs, potentially reducing the rate of unnecessary invasive procedures while shortening the time to diagnosis.

Rationale: A prospective longitudinal cohort of individuals at high risk of developing lung cancer was established to build a biorepository of carefully annotated biological specimens and low-dose computed tomography (LDCT) chest images for derivation and validation of candidate biomarkers for early detection of lung cancer. Objectives: The goal of this study is to characterize individuals with high risk for lung cancer, accumulating valuable biospecimens and LDCT chest scans longitudinally over 5 years. Methods: Participants 55-80 years of age with a 5-year estimated risk of developing lung cancer.1.5% were recruited and enrolled from clinics at the Vanderbilt University Medical Center, Veteran Affairs Medical Center, andMeharry Medical Center. Individual demographic characteristics were assessed via questionnaire at baseline. Participants underwent an LDCT scan, spirometry, sputum cytology, and research bronchoscopy at the time of enrollment. Participants will be followed yearly for 5 years. Positive LDCT scans are followed-up according to standard of care. The clinical, imaging, and biospecimen data are collected prospectively and stored in a biorepository. Participants are offered smoking cessation counseling at each study visit. Results: A total of 480 participants were enrolled at study baseline and consented to sharing their data and biospecimens for research. Participants are followed with yearly clinic visits to collect imaging data and biospecimens. To date, a total of 19 cancers (13 adenocarcinomas, four squamous cell carcinomas, one large cell neuroendocrine, and one small-cell lung cancer) have been identified. Conclusions: We established a unique prospective cohort of individuals at high risk for lung cancer, enrolled at three institutions, for whom full clinical data, well-annotated LDCT scans, and biospecimens are being collected longitudinally. This repository will allow for the derivation and independent validation of clinical, imaging, and molecular biomarkers of risk for diagnosis of lung cancer.

Sudden sensorineural hearing loss (SSNHL) is uncommon and oftentimes idiopathic. We describe the unique presentation of SSNHL in an HBO chamber employee following a parotidectomy, whose chief complaint was otalgia and aural fullness during dives. She ultimately recovered completely due to timely diagnosis and a high-dose steroid taper.

Colorectal cancer (CRC) is the third most common cause of malignancy in both men and women. The incidence rate has decreased over the last two decades partially due to an increase in screening. The American Cancer Society (ACS) estimates that there are approximately 149,000 new cases of CRC per year and approximately 50,000 patients per year die from this disease in the USA, representing 10% of new cases and 8% of all cancer deaths. Approximately 70–80% of patients are treated with curative intent, mostly by surgery. Chemotherapy alone, or in combination with radiation (for rectal cancer), is given before or after surgery to most patients whose tumor has penetrated the bowel wall or spread to lymph nodes. The overall survival at 1 and 5 years is 82 and 64%, respectively. The 5-year survival is 90% for localized stage, 68%when there is regional spread, and 10%when there are distant metastases.

With increasing head and neck Cancer survival, survivorship care is increasingly stressed by guidelines and patients alike. However, an understanding of the patient’s perspectives is lacking. This study assesses patient views on the value and burdens of survivorship care. A cross-sectional survey gathered data from adult patients with squamous cell carcinoma of mucosal head and neck sites. Patients with active disease or less than 3 months from treatment completion were excluded. A novel survey tool assessed income, employment and the financial, logistical and psychological burdens of clinic visits (assessed on continuous 100% scales). Retrospective chart review gathered clinical data. Results were compared based on sex, time from diagnosis, and desired visit frequency using univariate tests. Multivariate linear regression models were created to identify factors associated with increased stress. To date, 63 of 200 patients have completed this study. Respondents were 71.4% male, 87.3% white, with mean age of 62.5 years and follow up ranging 3-36 months. Household income was <$30,000 for 29 (46.0%) and 22 (34.9%) live alone. Most patients were satisfied with the frequency of tests (73.0%) and visits (74.6%). Patients desiring more visits were less often white (50.0% vs 81.8%, P=.046), had less advanced disease (stage IV 25% vs 64%, P=.515), lower incomes (<$30,000 100% vs 72.7%, P=.108), and lived alone (75.5% vs 54.5%, P=.050). These patients reported less spousal support (P=.039) and more often required medical transport (50% vs 27.3%, P=.087). Concern for recurrence was most stressful (61.5%), followed by medical care costs (38.6%), travel logistics (26.3%), and time away (22.5%) and cost of travel (22.7%). Patients desiring more visits reported more stress (62.1% vs 29.3%, P<.001), especially from recurrence (93.8% vs 69.6%, P=.04) and cost of travel (63.8% vs 32.3%, P=.001). In the multivariate model, higher overall stress was only significantly associated with dual modality treatment compared with surgery alone (P<.05). HNC survivors are generally satisfied with survivorship care. Patients with higher stress related to visits and less spousal support desire more frequent visits. This may be attributable to a high concern for recurrence and the associated relief if no recurrence is found. These results will help guide patient-centered survivorship care.

Purpose The purpose of the following commentary is to discuss recent controversies in the use of radioactive iodine for differentiated thyroid cancer (DTC). Methods R. M. Tuttle (Thyroid 2010; 20:257–263), at Memorial Sloan Kettering Cancer Center, has enumerated the well-accepted goals of radioactive iodine therapy (RAIT) in DTC: (1) ablate residual thyroid to facilitate future surveillance, (2) “adjuvant therapy” for residual radioactive iodine–avid disease, and (3) a post-RAIT scan may reveal unknown local and/or distant metastases. Using these goals as a guide, the authors have critically reviewed a recent movement to decrease the use of RAIT in DTC that is being advocated by some investigators. Results As a result, a recent article has highlighted this new treatment philosophy. A 2017 publication in the Journal of Clinical Oncology (Molenaar et al, 2017 0:JCO.2017.75.0232) recommends that RAIT not be used in low- or intermediate-risk DTC. In this article, the authors claim that the RAIT risks in DTC, particularly leukemia, outweigh its potential benefits. This change, if adopted, in our opinion will have profound deleterious consequences on patient outcomes. We also have identified a major problem with the article of Molenaar et al. The authors use the American Thyroid Association's criteria for staging thyroid cancer. In our opinion, this method of staging is severely flawed. We also quantitatively compare the article's alleged risk of RAIT-induced leukemia with the benefits of RAIT for DTC. Conclusions In summary, this matter must be debated before eliminating RAIT in low- or intermediate-risk DTC. If RAIT is eliminated for these patients, many such patients will no longer benefit from the RAIT goals listed by R. M. Tuttle, including the critical advantage of potentially improved overall and event-free survival.

Background: Granulomas caused by infectious lung diseases present as indeterminate pulmonary nodules (IPNs) on radiography. Newly available serum enzyme immunoassay (EIA) for histoplasmosis has not been studied for the evaluation of IPNs. We investigated serum biomarkers of histoplasmosis antibodies as an indication of benign disease in IPNs from a highly endemic region. Methods: A total of 152 serum samples from patients presenting with pulmonary nodules ≤30 mm in maximum diameter were analyzed for histoplasmosis antibodies by immunodiffusion and EIA IgG and IgM tests. Serology and FDG-PET/CT scan diagnostic test characteristics were estimated and compared. Results: Cancer prevalence was 55% (n = 83). Thirty-nine (26%) individuals were positive for IgG histoplasmosis antibodies. Twelve samples were IgM antibody positive. Immunodiffusion serology was similar to IgM antibody results with 13 positive tests. Diagnostic likelihood ratios for benign disease were 0.62, 0.33, and 0.28 for FDG-PET/CT, IgG, and IgM antibodies, respectively. When both IgG and IgM were positive (n = 8), no nodules were cancerous and six were FDG-PET/CT avid. Conclusions: A positive EIA test for both IgM and IgG strongly suggested histoplasmosis etiology and benign granuloma for 12% of benign nodules arising from a highly endemic region. Presence of either IgG or IgM histoplasma antibodies was associated with benign disease. The EIA test was more sensitive in assessing histoplasma exposure than immunodiffusion serology. Impact: A new CLIA-certified histoplasmosis antibody EIA test measures histoplasmosis exposure, offers a possible alternative clinical diagnosis for benign IPNs, and may improve IPN evaluation while avoiding harmful invasive biopsies.

Radiopharmaceuticals targeting cell surface expression of somatostatin receptors (SSTRs) are particularly useful in the evaluation of neuroendocrine tumors. Gallium-68 DOTA-Tyr-octreotatate (Ga-DOTATATE) primarily binds to SSTR type 2 receptors. Ga DOTATATE PET/CT is proven to have high impact on the management of neuroendocrine patients compared to traditional anatomical imaging as well as provides additional information over that of conventional nuclear medicine studies (indium-III DTPA-octreotide). It can result in change in management of approximately 75% of patients with neuroendocrine tumors. Ga DOTATATE and F FDG PET/CT imaging are complementary, with the degree of uptake varying depending on the degree of differentiation of the tumor. Well-differentiated tumors maintain their SSTRs and are positive on Ga DOTATATE PET/CT scan, while dedifferentiated tumors are less likely to demonstrate uptake of Ga DOTATATE but will demonstrate uptake with F FDG PET/CT. In addition, Ga DOTATATE PET/CT identifies patients with SSTR expression in their tumors, who have progressed on somatostatin analog therapy, for treatment with Lu DOTATATE.

PET/CT imaging is frequently used for cancer diagnosis and restaging as metabolically active cells, including cancer, utilize glucose for proliferation. F-FDG is the most commonly utilized radiopharmaceutical in PET/CT imaging. Limitations of F-FDG imaging include intense physiologic uptake in benign tissues such as the brain and myocardium. We present a case of non-small cell lung cancer with myocardial and pericardial metastases obscured by physiologic F-FDG cardiac uptake but detected with the investigational PET radiotracer (4S)-4-(3-F-fluoropropyl)-L-glutamate (F-FSPG), which targets a pathway associated with glutathione biosynthesis. This case demonstrates the added value of F-FSPG PET/CT imaging.

Despite the increasing utilization of non-surgical therapies for advanced laryngeal cancer, total laryngectomy is recommended for some patients. A recent national database study associated refusal of surgery for advanced laryngeal cancer with a 10% 5-year survival decrease. However, important confounders could not be assessed with the registry data. The present study was undertaken to confirm the national database findings and better understand patients’ decision process. Adult patients with stage II-IVa laryngeal squamous cell carcinoma diagnosed from 2006-2014 were identified from an institutional cancer database. Demographic and oncologic data were obtained from the database, then confirmed and augmented via comprehensive chart review. Patients who did not undergo curative treatment were excluded. Patients refusing laryngectomy in favor of chemoradiation were compared to those receiving surgery using paired t-tests and chi-squared tests for continuous and categorical variables, respectively. Patients refusing laryngectomy were then matched to those undergoing laryngectomy using propensity scoring with a 1:3 case:control ratio. Kaplan-Meier curves were developed for overall survival and compared by log-rank testing. The study cohort consisted of 141 patients with median of 67 months follow-up. Six patients were identified as refusing surgery from registry data and an additional 3 from chart reviews, representing 12.6% refusal among 70 patients recommended surgery. Compared to patients undergoing laryngectomy, the 9 refusing patients were more often black (66.7% vs 18.0%, P=.006), female (55.6% vs 26.2%, P=.161) and current alcohol users (88.9% vs 44.3%, P=.086). Age, subsite, and comorbidities were similar between groups. Overall survival curves were similar between patients refusing laryngectomy and matched controls (median 69 vs 51 months, P=.470). Reasons for refusing laryngectomy included fear of surgery, uncertainty of recovery, and a stated desire to avoid a permanent stoma. Many patients who may benefit from laryngectomy are apprehensive about surgery, and a subset will refuse this treatment despite the recommendation of their treatment teams. After controlling for potential confounding factors, including those not available in prior registry-derived studies, no survival difference was found associated with refusal.

Cutaneous spindle cell malignancy is associated with a broad differential diagnosis, particularly in the absence of a known primary melanocytic lesion. We present an unusually challenging patient who presented with clinical symptoms involving cranial nerves VII and VIII and a parotid-region mass, which was S100-positive while lacking in melanocytic pigment and markers. Over a year after resection of the parotid mass, both a cutaneous primary lentigo maligna melanoma and a metastatic CP angle melanoma were diagnosed in the same patient, prompting reconsideration of the diagnosis in the original parotid-region mass. Next-generation sequencing of a panel of cancer-associated genes demonstrated 19 identical, clinically significant mutations as well as a high tumor mutation burden in both the parotid-region and CP angle tumors, indicating a metastatic relationship between the two and a melanocytic identity of the parotid-region tumor.

Lung adenocarcinoma (ADC), the most common lung cancer type, is recognized increasingly as a disease spectrum. To guide individualized patient care, a non-invasive means of distinguishing indolent from aggressive ADC subtypes is needed urgently. Computer-Aided Nodule Assessment and Risk Yield (CANARY) is a novel computed tomography (CT) tool that characterizes early ADCs by detecting nine distinct CT voxel classes, representing a spectrum of lepidic to invasive growth, within an ADC. CANARY characterization has been shown to correlate with ADC histology and patient outcomes. This study evaluated the inter-observer variability of CANARY analysis. Three novice observers segmented and analyzed independently 95 biopsy-confirmed lung ADCs from Vanderbilt University Medical Center/Nashville Veterans Administration Tennessee Valley Healthcare system (VUMC/TVHS) and the Mayo Clinic (Mayo). Inter-observer variability was measured using intra-class correlation coefficient (ICC). The average ICC for all CANARY classes was 0.828 (95% CI 0.76, 0.895) for the VUMC/TVHS cohort, and 0.852 (95% CI 0.804, 0.901) for the Mayo cohort. The most invasive voxel classes had the highest ICC values. To determine whether nodule size influenced inter-observer variability, an additional cohort of 49 sub-centimeter nodules from Mayo were also segmented by three observers, with similar ICC results. Our study demonstrates that CANARY ADC classification between novice CANARY users has an acceptably low degree of variability, and supports the further development of CANARY for clinical application.

Abstract This study assessed the inter-user reproducibility of Computer-Aided Nodule Assessment and Risk Yield (CANARY), a novel analytical tool that risk stratifies lung adenocarcinomas (ADCs) according to defined computed tomography (CT) structural characteristics. CANARY detects nine distinct voxel signatures in ADCs based on standard CT imaging, thereby defining nodule characteristics correlating with patient outcomes, and corresponding to invasion or lepidic growth histologically. A software user segments the borders of each ADC prior to voxel analysis, introducing potential variability into the assessment. While CANARY is a promising method, it requires validation of the analytical variability between users and prediction of accuracy in an independent cohort. To evaluate the reproducibility of CANARY analysis, three independent users who are not part of the CANARY development team segmented and analyzed 50 biopsy-confirmed primary lung ADCs from Vanderbilt University Medical Center. The CT scans of ADCs were selected retrospectively based on the following criteria: ADC-histology proven on biopsy, diagnosed between 2009-2015, less than 3cm in greatest diameter, and stages IA-IV. Users followed a standard operating procedure established at the Mayo Clinic, and were blinded to clinical characteristics and patient outcomes. Results: To measure inter-user variability of ADC voxel composition, the intraclass correlation coefficient (ICC) was calculated based upon the percentage of each voxel subtype within the whole ADC. An ICC of 1 reflects high reproducibility between users. Amongst all 50 ADCs, the average ICC for all nine voxel types was 0.828 (95% CI 0.76, 0.895). The ICC of the four voxel types associated with invasive features on CT was 0.865 (95% CI 0.805, 0.924). ICCs were also calculated using a logarithmic transformation for data normalization, generating an ICC of 0.745 (95% CI 0.663, 0.826) for all nine voxel types, and an ICC of 0.995 (95% CI 0.993, 0.997) for the four voxel types associated with invasion. Conclusions: (1) CANARY analysis of lung ADC voxel signatures appears to be reproducible amongst users, making it a reliable tool for the evaluation of ADC voxel density. (2) Correlation of invasive signatures associated with more aggressive ADCs was nearly perfect amongst users. Additional validation metrics for CANARY with larger datasets are being evaluated, including the accuracy of tumor prognostic predictions between users and analysis of ADC datasets from other institutions. Citation Format: Erica C. Nakajima, Michael P. Frankland, Tucker Johnson, Sanja L. Antic, Ronald A. Karwoski, Bennett Landman, Heidi Chen, Ronald C. Walker, Brian J. Bartholmai, Tobias Peikert, Srinivasan Rajagopalan, Pierre P. Massion, Fabien Maldonado. Assessing the reproducibility of computer-aided nodule assessment and risk yield (CANARY) method to characterize lung adenocarcinomas [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3723. doi:10.1158/1538-7445.AM2017-3723

BACKGROUND:Aside from cancer mortality, patients with head and neck cancer have increased mortality risk. Identifying patients with the greatest loss of cancer-independent life expectancy can guide comprehensive survivorship programs.METHODS:Age-based survival data from the Surveillance, Epidemiology, and End Result (SEER) database for patients with head and neck cancer were censored for mortality from the index cancer. Life expectancy and years of life lost (YLL) referenced to the general population were calculated. Cox proportional regression models produced hazard ratios (HRs).RESULTS:Cancer-independent life expectancy for patients with head and neck cancer is 6.5 years shorter than expected. The greatest hazard and impact of other-cause mortality was associated with black race (HR 1.23; YLL 8.55), stage IV (HR 1.60; YLL 7.92), Medicaid (HR 1.55; YLL 12.9), and previous marriage (HR 1.49; YLL 11.4).CONCLUSION:Patients with head and neck cancer lives are foreshortened independent of their cancer diagnosis necessitating management of noncancer mortality to maximize overall survival.

PURPOSE:18F-FDG PET/CT is widely used to evaluate indeterminate pulmonary nodules (IPNs). False positive results occur, especially from active granulomatous nodules. A PET-based imaging agent with superior specificity to 18F-FDG for IPNs, is badly needed, especially in areas of endemic granulomatous nodules. Somatostatin receptors (SSTR) are expressed in many malignant cells including small cell and non-small cell lung cancers (NSCLCs). 68Ga-DOTATATE, a positron emitter labeled somatostatin analog, combined with PET/CT imaging, may improve the diagnosis of IPNs over 18F-FDG by reducing false positives. Our study purpose was to test this hypothesis in our region with high endemic granulomatous IPNs. METHODS:We prospectively performed 68Ga-DOTATATE PET/CT and 18F-FDG PET/CT scans in the same 30 patients with newly diagnosed, treatment-naïve lung cancer (N = 14) or IPNs (N = 15) and one metastatic nodule. 68Ga-DOTATATE SUVmax levels at or above 1.5 were considered likely malignant. We analyzed the scan results, correlating with ultimate diagnosis via biopsy or 2-year chest CT follow-up. We also correlated 68Ga-DOTATATE uptake with immunohistochemical (IHC) staining for SSTR subtype 2A (SSTR2A) in pathological specimens. RESULTS:We analyzed 31 lesions in 30 individuals, with 14 (45%) being non-neuroendocrine lung cancers and 1 (3%) being metastatic disease. McNemar's result comparing the two radiopharmaceuticals (p = 0.65) indicates that their accuracy of diagnosis in this indication are equivalent. 68Ga-DOTATATE was more specific (94% compared to 81%) and less sensitive 73% compared to 93%) than 18F-FDG. 68Ga-DOTATATE uptake correlated with SSTR2A expression in tumor stroma determined by immunohistochemical (IHC) staining in 5 of 9 (55%) NSCLCs. CONCLUSION:68Ga-DOTATATE and 18F-FDG PET/CT had equivalent accuracy in the diagnosis of non-neuroendocrine lung cancer and 68Ga-DOTATATE was more specific than 18F-FDG for the diagnosis of IPNs. IHC staining for SSTR2A receptor expression correlated with tumor stroma but not tumor cells.

We examined somatostatin receptor type 2A (SSTR2A) expression in primary and metastatic small intestinal neuroendocrine tumors (SI-NETs). We retrieved 156 liver metastases from 26 patients (10 males, 16 females) who had two or more liver lesions resected. A representative formalin-fixed paraffin-embedded section of tumor tissue from each liver metastasis and from the primary tumor, when available, were immunohistochemically stained for SSTR2A. SSTR2A expression was evaluated by the Her2/neu-scoring system and the scoring system proposed by Volante et al. Based on the Her2/neu-scoring system, moderate to strong SSTR2A expression was observed in 121 of 156 (78%) liver metastases. In 15 (58%) subjects, all liver metastases showed moderate to strong SSTR2A expression, whereas in 11 (42%) one or more liver tumors had weak or no expression. Of the 16 stained primaries, 11 (69%) showed heterogeneous SSTR2A expression. The corresponding liver metastases showed only weak to no expression in one, moderate to strong in five, and both weak to no and moderate to strong expression in five of the 11 cases. Using the Volante scoring system, no tumor was scored 0 (0%), two were scored 1 (1%), 38 were scored 2 (24%), and 116 were scored 3 (74%). No statistically significant association was observed between SSTR2A expression and Ki67 index (p = 0.56). Fifteen of 18 (83%) metastatic tumors with a Ki67 index > 20% showed moderate to strong SSTR2A. Most liver tumors with weak SSTR2A expression or an IHC score of 2 were detected by OctreoScan. SSTR2A expression in liver metastases of SI-NETs can be variable, even between lesions in the same patient. Expression in metastatic lesions is not always similar to that in the primary tumor. SSTR2A expression is not associated with the Ki67 index.

Background: We propose a systematic methodology to quantify incidentally identified lung nodules based on observed radiological traits on a point scale. These quantitative traits classification model was used to predict cancer status.Materials and Methods: We used 102 patients' low dose computed tomography (LDCT) images for this study, 24 semantic traits were systematically scored from each image. We built a machine learning classifier in cross validation setting to find best predictive imaging features to differentiate malignant from benign lung nodules.Results: The best feature triplet to discriminate malignancy was based on long axis, concavity and lymphadenopathy with average AUC of 0.897 (Accuracy of 76.8%, Sensitivity of 64.3%, Specificity of 90%). A similar semantic triplet optimized on Sensitivity/Specificity (Youden's J index) included long axis, vascular convergence and lymphadenopathy which had an average AUC of 0.875 (Accuracy of 81.7%, Sensitivity of 76.2%, Specificity of 95%).Conclusions: Quantitative radiological image traits can differentiate malignant from benign lung nodules. These semantic features along with size measurement enhance the prediction accuracy.