Large cell neuroendocrine carcinoma arising from the anterior mediastinum.

Anterior mediastinal large cell neuroendocrine carcinomas (LCNECs) are extremely rare, extremely aggressive malignancies that carry a dismal prognosis. We discuss a woman aged 60 years who presented with a 2-month history of recurrent severe constant epigastric pain. Abdominal examination revealed massive hepatomegaly and a CT scan of the liver confirmed coarse liver lesions. Histology from a liver biopsy was consistent with a large cell (non-small cell) neuroendocrine carcinoma. A CT scan of the chest showed a large anterior mediastinal mass unrelated to the lung, suggesting that the anterior mediastinum was the primary origin of the tumour. The patient was planned to receive platinum/etoposide chemotherapy for a metastatic mediastinal large cell neuroendocrine carcinoma. Unfortunately, her health deteriorated, and she was unfit to undergo any further treatment. She was treated palliatively and died 2 months after the diagnosis.

Exploring imaging features of molecular subtypes of large cell neuroendocrine carcinoma (LCNEC).

OBJECTIVES: Radiological characteristics and radiomics signatures can aid in differentiation between small cell lung carcinoma (SCLC) and non-small cell lung carcinoma (NSCLC). We investigated whether molecular subtypes of large cell neuroendocrine carcinoma (LCNEC), i.e. SCLC-like (with pRb loss) vs. NSCLC-like (with pRb expression), can be distinguished by imaging based on (1) imaging interpretation, (2) semantic features, and/or (3) a radiomics signature, designed to differentiate between SCLC and NSCLC. MATERIALS AND METHODS: Pulmonary oncologists and chest radiologists assessed chest CT-scans of 44 LCNEC patients for 'small cell-like' or 'non-small cell-like' appearance. The radiologists also scored semantic features of 50 LCNEC scans. Finally, a radiomics signature was trained on a dataset containing 48 SCLC and 76 NSCLC scans and validated on an external set of 58 SCLC and 40 NSCLC scans. This signature was applied on scans of 28 SCLC-like and 8 NSCLC-like LCNEC patients. RESULTS: Pulmonary oncologists and radiologists were unable to differentiate between molecular subtypes of LCNEC and no significant differences in semantic features were found. The area under the receiver operating characteristics curve of the radiomics signature in the validation set (SCLC vs. NSCLC) was 0.84 (95% confidence interval (CI) 0.77-0.92) and 0.58 (95% CI 0.29-0.86) in the LCNEC dataset (SCLC-like vs. NSCLC-like). CONCLUSION: LCNEC appears to have radiological characteristics of both SCLC and NSCLC, irrespective of pRb loss, compatible with the SCLC-like subtype. Imaging interpretation, semantic features and our radiomics signature designed to differentiate between SCLC and NSCLC were unable to separate molecular LCNEC subtypes, which underscores that LCNEC is a unique disease.

Application of contrast-enhanced ultrasonography for large cell neuroendocrine carcinoma in the urinary bladder: a case report.

BACKGROUND: Large cell neuroendocrine carcinoma (LCNEC) of the urinary bladder is an uncommon malignant bladder tumor, and the overall prognosis is poor. Contrast-enhanced ultrasound (CEUS) provides a new effective modality for tumor detection and diagnosis. CASE PRESENTATION: A 30-year-old man complained of repeated painless gross haematuria for half a month. Conventional ultrasound demonstrated a hypoechoic solitary lesion with hyperechoic margins measuring 3.4 × 3.1 cm in the anterior wall of the bladder. Superb microvascular imaging (SMI) showed a strong flow signal in the mass. CEUS revealed that the lesion was characterized by hyper-enhancement in the early phase and hypo-enhancement in the late phase. The entire bladder wall was disrupted by homogeneous hyper-enhanced tumor tissue on CEUS. Time-intensity curves (TICs) showed a rapid wash-in with a high maximum signal intensity (SI) and quick wash-out. Finally, partial cystectomy was performed and the pathological examination confirmed the diagnosis of LCNEC with invasion into the whole layer of the bladder wall. CONCLUSION: This case suggested that CEUS was a valuable imaging method to detect and diagnose LCNEC in the bladder, and that CEUS can provide information related to the depth of wall invasion and the microvasculature.

Sequential screening for lung cancer in a high-risk group: randomised controlled trial: LungSEARCH: a randomised controlled trial of Surveillance using sputum and imaging for the EARly detection of lung Cancer in a High-risk group.

BACKGROUND: Low-dose computed tomography (LDCT) screening detects early-stage lung cancer and reduces mortality. We proposed a sequential approach targeted to a high-risk group as a potentially efficient screening strategy. METHODS: LungSEARCH was a national multicentre randomised trial. Current/ex-smokers with mild/moderate chronic obstructive pulmonary disease (COPD) were allocated (1:1) to have 5 years surveillance or not. Screened participants provided annual sputum samples for cytology and cytometry, and if abnormal were offered annual LDCT and autofluorescence bronchoscopy (AFB). Those with normal sputum provided annual samples. The primary end-point was the percentage of lung cancers diagnosed at stage I/II (nonsmall cell) or limited disease (small cell). RESULTS: 1568 participants were randomised during 2007-2011 from 10 UK centres. 85.2% of those screened provided an adequate baseline sputum sample. There were 42 lung cancers among 785 screened individuals and 36 lung cancers among 783 controls. 54.8% (23 out of 42) of screened individuals versus 45.2% (14 out of 31) of controls with known staging were diagnosed with early-stage disease (one-sided p=0.24). Relative risk was 1.21 (95% CI 0.75-1.95) or 0.82 (95% CI 0.52-1.31) for early-stage or advanced cancers, respectively. Overall sensitivity for sputum (in those randomised to surveillance) was low (40.5%) with a cumulative false-positive rate (FPR) of 32.8%. 55% of cancers had normal sputum results throughout. Among sputum-positive individuals who had AFB, sensitivity was 45.5% and cumulative FPR was 39.5%; the corresponding measures for those who had LDCT were 100% and 16.1%, respectively. CONCLUSIONS: Our sequential strategy, using sputum cytology/cytometry to select high-risk individuals for AFB and LDCT, did not lead to a clear stage shift and did not improve the efficiency of lung cancer screening.

Organ sparing potential and inter-fraction robustness of adaptive intensity modulated proton therapy for lung cancer.

Background: The aim of this study was to compare adaptive intensity modulated proton therapy (IMPT) robustness and organ sparing capabilities with that of adaptive volumetric arc photon therapy (VMAT).Material and methods: Eighteen lung cancer patients underwent a planning 4DCT (p4DCT) and 5 weekly repeated 4DCT (r4DCT) scans. Target volumes and organs at risk were manually delineated on the three-dimensional (3D) average scans of the p4DCT (av_p4DCT) and of the r4DCT scans (av_r4DCT). Planning target volume (PTV)-based VMAT plans and internal clinical target volume (ICTV)-based robust IMPT plans were optimized in 3D on the av_p4DCT and re-calculated on the av_r4DCTs. Re-planning on av_r4DCTs was performed when indicated and accumulated doses were evaluated on the av_p4DCT.Results: Adaptive VMAT and IMPT resulted in adequate ICTV coverage on av_r4DCT in all patients and adequate accumulated-dose ICTV coverage on av_p4DCT in 17/18 patients (due to a shrinking target in one patient). More frequent re-planning was needed for IMPT than for VMAT. The average mean heart dose reduction with IMPT compared with VMAT was 4.6 Gy (p = .001) and it was >5 Gy for five patients (6, 7, 8, 15, and 22 Gy). The average mean lung dose reduction was 3.2 Gy (p < .001). Significant reductions in heart and lung V5 Gy were observed with IMPT.Conclusion: Robust-planned IMPT required re-planning more often than VMAT but resulted in similar accumulated ICTV coverage. With IMPT, heart and lung mean dose values and low dose regions were significantly reduced. Substantial cardiac sparing was obtained in a subgroup of five patients (28%).

Large cell neuroendocrine carcinoma of the submandibular gland: a case report and literature review.

Neuroendocrine tumors (NET) are a heterogeneous group of malignancies with a broad spectrum of histomorphologies, tissue origins, and clinical outcomes, which arise from neural crest cells with neuroendocrine differentiation. Salivary gland tumors account for 3-6% of all head and neck neoplasms, while large cell neuroendocrine carcinomas (LCNEC) of the salivary gland are extremely rare, with few cases reported in literature, and only 5 cases involving submandibular gland. The rarity of these tumors in salivary glands is probably related to the scarcity of neuroendocrine cells in this tissue, whose presence is still a matter of debate. Regardless of their low frequency, it is imperative to differentiate these tumors from the much more common squamous cell carcinomas and metastatic NETs, due to different therapeutic approach and prognosis. In this paper, we report the case of a 21-year-old man, with a LCNEC involving a submandibular gland followed by several recurrences over the years. In addition, we include a comprehensive review of the available literature on this topic.

Large cell neuroendocrine carcinoma of the uterine cervix.

We report a case of large cell neuroendocrine carcinoma of the uterine cervix. A 33-year-old woman presented with a 4-month history of irregular vaginal bleeding and suspicious cervix. Transvaginal ultrasound showed a 3×3.8 cm cervical mass with a marked increase in the blood flow. MRI pelvis showed an exophytic tumour with left external iliac lymph node metastasis. Immunohistochemistry of the tumour cells showed strong positivity for the neuroendocrine markers synaptophysin and a very high Ki67 proliferation index. A diagnosis of high-grade large cell neuroendocrine carcinoma of the uterine cervix was made with FIGO stage IIA2. She was treated with chemotherapy and palliative radiotherapy but died 21 months after presenting. Neuroendocrine tumour of the uterine cervix is an extremely aggressive cancer with the late presentation-the need for a more rigorous treatment protocol as well as potential screening methods could improve outcomes for these patients.

Role of Low-Dose Computerized Tomography in Lung Cancer Screening among Never-Smokers.

INTRODUCTION: The incidence of lung cancer among never-smokers has been increasing rapidly. The U. S. National Lung Screening Trial and the NELSON trial showed that screening using low-dose computerized tomography (LDCT) effectively reduced lung cancer mortality among heavy smokers. However, its effectiveness in never-smokers has not been well investigated. This study investigated the role of LDCT in lung cancer screening among never-smokers. METHODS: The study was designed as a single-center, retrospective cohort study. We analyzed the data on patients who underwent LDCT screening between May 2003 and June 2016. Nodules detected by computerized tomography were classified according to the Lung Imaging Reporting and Data System criteria. The detection rate and lung cancer outcomes (type of cancer, staging of lung cancer, and mortality) according to smoking history were determined. RESULTS: Of the 28,807 enrolled patients, 12,176 were never-smokers; of these patients, 7744 (63.6%) were women and 1218 (10.0%) were found to have lung nodules. Overall, lung cancer was diagnosed in 55 never-smokers (0.45%). In contrast, lung cancer was diagnosed in 143 (0.86%) of the 16,631 ever-smokers. Of the never-smokers with lung cancer, 51 (92.7%) presented with stage I disease, and all patients had adenocarcinomas. CONCLUSIONS: In the never-smoker population, LDCT screening helped to detect a significant number of lung cancers. Most of these lung cancers were detected at a very early stage. The positive results of the National Lung Screening Trial in the United States and the NELSON trial may have established the value of LDCT screening for heavy smokers, but future research should consider the value of using LDCT screening in the never-smoker population.

Successful treatment with temozolomide in an elderly woman with advanced pulmonary large-cell neuroendocrine carcinoma: A case report.

RATIONALE: Pulmonary large-cell neuroendocrine carcinoma (LCNEC) is a rare type of lung cancer, and 40% of patients are in stage IV at initial diagnosis. It has an extremely poor prognosis with a 1-year survival rate of 27%. Patients with LCNEC are predominantly male, older, and heavy smokers. There has been no clinical trial conducted to determine the best treatment for advanced LCNEC. Temozolomide (TMZ) has been successfully used to treat a variety of malignancies, such as glioblastoma multiforme, astrocytoma, non-small-cell lung carcinoma. However, its efficacy in advanced stage pulmonary LCNEC has rarely been studied. PATIENT CONCERNS: We present the rare case of a 69-year-old woman with advanced pulmonary LCNEC. She complained of recurrent dry cough for more than 1 month. DIAGNOSES: After chest computed tomography (CT) and biopsies of supraclavicular lymph nodes, the diagnosis of stage IIIB LCNEC of the lung was made. INTERVENTIONS: Four cycles of chemotherapy with etoposide and cisplatin was administered as the first-line regimen. As the disease progressed, we administered icotinib and liposomal paclitaxel. Finally, we administrated TMZ as the third-line regimen. OUTCOMES: The patient showed partial response after 5 months. She has survived for 19 months from the time of diagnosis with a good performance status. LESSONS: TMZ appears to be an efficacious option to treat elderly patients with advanced LCNEC.

[Pulmonary Non-tuberculous Mycobacteriosis Complicated with Pulmonary Large Cell Neuroendocrine Carcinoma;Report of a Case].

A 64-year-old man with pulmonary non-tuberculous mycobacteriosis(pulmonary NTM) who had been treated by antituberculous chemotherapy, developed a new nodule of 8 mm in size in the segment 3 of the right upper lobe. The cavity of 4.0 cm in size in the segment 1+2 of the left upper lobe due to Mycobacterium avium infection was preexisted. Radiologically, new nodule of the right lung was suspected to be lung cancer. Left upper lobe apical trisegmentectomy was performed at first. Three months later, enlarging of the right lung nodule with increased fluoro-2-deoxy-D-glucose(FDG) activity was noted, and the diagnosis of lung cancer was made by transbronchial lung biopsy(TBLB). Then, right upper lobectomy with systematic nodal dissection were performed.

Usability of Transthoracic Shear Wave Elastography in Differentiation of Subpleural Solid Masses.

In this study, the effectiveness of transthoracic ultrasound elastography in the benign and malign distinction of subpleural/pleural solid lesions was investigated.Between July 2015 and December 2016, 33 consecutive patients with subpleural solid lesions detected via computed tomography (CT) of the thorax were identified and prospectively included in this study. The average for each lesion's shear wave velocity (SWV) value was detected, and benign and malignant lesions' SWV values are statistically compared. The CT and pathology results were used as a reference to compare these values. A receiver operating characteristic analysis was used to determine the cutoff value for benign/malignant neoplasms.The 33 patients (10 female, 23 male) included in the study had a mean age of 56.2 ± 15.40 years (range, 17-84 years), and the mean SWV value of the lesions in 13 (39%) cases evaluated benign after a CT scan, histopathological examination, or both 2.18 ± 0.49 m/s. The mean SWV value of the lesions which were histopathologically diagnosed as malign in 23 (61%) cases was 3.50 ± 0.69 m/s. (P < 0.001). When the cutoff value was set as 2.47 m/s for the SVW value, sensitivity and specificity were determined to be 97.7%.The present study has shown that transthoracic ultrasound shear wave elastography can be an effective radiological examination method in the benign and malign differentiation of subpleural lesions and has the potential for use in the routine clinical application of transthoracic ultrasound elastography, a noninvasive method for evaluating the malignancy potentials of such lesions.

Prognostic Value of Pretreatment FDG-PET Parameters in High-dose Image-guided Radiotherapy for Oligometastatic Non-Small-cell Lung Cancer.

BACKGROUND: Emerging data support aggressive local treatment of oligometastatic non-small-cell lung cancer (NSCLC) patients. We sought to determine whether the metabolic burden of disease found by fluorodeoxyglucose positron emission tomography at the time of high-dose radiotherapy (RT) for oligometastatic NSCLC can serve as a prognostic biomarker. MATERIALS AND METHODS: We conducted a retrospective cohort study of 67 RT treatment courses in 55 patients with oligometastatic NSCLC who had undergone high-dose RT to all sites of active disease at our institution. The metabolic tumor volume, total lesion glycolysis (TLG), and maximum standardized uptake value of all lesions were measured on the pretreatment fluorodeoxyglucose positron emission tomography scans. Cox regression analysis was used to assess the influence of imaging and clinical factors on overall survival (OS). RESULTS: On univariate analysis, a greater metabolic tumor volume and TLG were predictive of shorter OS (hazard ratio of death, 2.42 and 2.14, respectively; P = .009 and P = .004, respectively). The effects remained significant on multivariate analysis. Neither the maximum standardized uptake value nor the number of lesions was significantly associated with OS. Patients within the highest quartile of TLG values (> 86.8 units) had a shorter median OS than those within the lower 3 quartiles (12.4 vs. 30.1 months; log-rank P = .014). CONCLUSION: The metabolic tumor burden was prognostic of OS and might help to better select oligometastatic NSCLC patients for locally ablative therapy.

Lung Cancer: Clinical Presentation and Diagnosis.

In the absence of screening, most patients with lung cancer are not diagnosed until later stages, when the prognosis is poor. The most common symptoms are cough and dyspnea, but the most specific symptom is hemoptysis. Digital clubbing, though rare, is highly predictive of lung cancer. Symptoms can be caused by the local tumor, intrathoracic spread, distant metastases, or paraneoplastic syndromes. Clinicians should suspect lung cancer in symptomatic patients with risk factors. The initial study should be chest x-ray, but if results are negative and suspicion remains, the clinician should obtain a computed tomography scan with contrast. The diagnostic evaluation for suspected lung cancer includes tissue diagnosis, staging, and determination of functional capacity, which are completed simultaneously. Tissue samples should be obtained using the least invasive method possible. Management is based on the individual tumor histology, molecular testing results, staging, and performance status. The management plan is determined by a multidisciplinary team consisting of a pulmonology subspecialist, medical oncology subspecialist, radiation oncology subspecialist, and thoracic surgeon. The family physician should remain involved with the patient to ensure that patient priorities are supported and, if necessary, to arrange for end-of-life care.

Pathological diagnosis of pulmonary large cell neuroendocrine carcinoma by endobronchial ultrasound-guided transbronchial needle aspiration.

BACKGROUND: Pulmonary large cell neuroendocrine carcinoma (LCNEC) is a relatively rare subtype of lung malignancy. According to revised 2015 World Health Organization (WHO) criteria for the pathological diagnosis of LCNEC, neuroendocrine markers must be examined by immunohistochemistry. In this study, we reevaluated endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) samples of patients previously diagnosed with LCNEC using the revised WHO criteria. METHODS: Clinical tissue samples that had been obtained by EBUS-TBNA between January 2004 and December 2011, and that had been pathologically diagnosed as LCNEC according to the previous criteria, were reevaluated according to the revised WHO criteria. RESULTS: The records of 471 lung cancer patients with mediastinal or hilar lymph node metastasis diagnosed by EBUS-TBNA were analyzed. Thirteen patients were diagnosed with LCNEC; one of which was diagnosed based on cytology alone because the histological material was insufficient for a histological examination. Among the 12 cases in which a histological examination was performed, nine were diagnosed with possible LCNEC based on neuroendocrine marker positivity, while three were diagnosed with suspected LCNEC because they did not meet the immunostaining criteria. The patient who was cytologically diagnosed was found to have non-small cell carcinoma with neuroendocrine morphology. CONCLUSION: LCNEC could be pathologically diagnosed based on 2015 WHO criteria using EBUS-TBNA samples.

Metabolic characteristics of programmed cell death-ligand 1-expressing lung cancer on 18 F-fluorodeoxyglucose positron emission tomography/computed tomography.

Programmed cell death-1 (PD-1) and programmed cell death-ligand 1 (PD-L1) have been identified as novel targets of immunotherapy of lung cancer. In present study, we evaluated the metabolic characteristics of lung cancer by using 18 F-fluorodeoxyglucose positron emission tomography/computed tomography (18 F-FDG PET/CT) with regard to PD-L1 protein expression. PD-L1 protein expression was evaluated by immunohistochemistry with the antibody clone SP142 in 579 surgically resected primary lung cancer patients. Cases with less than 5% tumor membrane staining were considered negative. We examined the association between the frequency of PD-L1 protein expression and the maximum standardized uptake value (SUVmax) in preoperative 18 F-FDG PET/CT. The cut-off values for SUVmax were determined by receiver operating characteristic curve analyses. The SUVmax was significantly higher in nonsmall cell lung cancer (NSCLC) patients with PD-L1 protein expression compared with those without PD-L1 protein expression (P < 0.0001). However, there was no correlation between SUVmax and PD-L1 protein expression in patients with neuroendocrine tumors (P = 0.6545). Multivariate analysis revealed that smoking, the presence of pleural invasion, and high SUVmax were independent predictors of PD-L1 positivity. PD-L1-expressing NSCLC had a high glucose metabolism. The SUVmax in preoperative 18 F-FDG PET/CT was a predictor of PD-L1 protein expression in patients with NSCLC.

Predicting tumor hypoxia in non-small cell lung cancer by combining CT, FDG PET and dynamic contrast-enhanced CT.

BACKGROUND: Most solid tumors contain inadequately oxygenated (i.e., hypoxic) regions, which tend to be more aggressive and treatment resistant. Hypoxia PET allows visualization of hypoxia and may enable treatment adaptation. However, hypoxia PET imaging is expensive, time-consuming and not widely available. We aimed to predict hypoxia levels in non-small cell lung cancer (NSCLC) using more easily available imaging modalities: FDG-PET/CT and dynamic contrast-enhanced CT (DCE-CT). MATERIAL AND METHODS: For 34 NSCLC patients, included in two clinical trials, hypoxia HX4-PET/CT, planning FDG-PET/CT and DCE-CT scans were acquired before radiotherapy. Scans were non-rigidly registered to the planning CT. Tumor blood flow (BF) and blood volume (BV) were calculated by kinetic analysis of DCE-CT images. Within the gross tumor volume, independent clusters, i.e., supervoxels, were created based on FDG-PET/CT. For each supervoxel, tumor-to-background ratios (TBR) were calculated (median SUV/aorta SUVmean) for HX4-PET/CT and supervoxel features (median, SD, entropy) for the other modalities. Two random forest models (cross-validated: 10 folds, five repeats) were trained to predict the hypoxia TBR; one based on CT, FDG, BF and BV, and one with only CT and FDG features. Patients were split in a training (trial NCT01024829) and independent test set (trial NCT01210378). For each patient, predicted, and observed hypoxic volumes (HV) (TBR > 1.2) were compared. RESULTS: Fifteen patients (3291 supervoxels) were used for training and 19 patients (1502 supervoxels) for testing. The model with all features (RMSE training: 0.19 ± 0.01, test: 0.27) outperformed the model with only CT and FDG-PET features (RMSE training: 0.20 ± 0.01, test: 0.29). All tumors of the test set were correctly classified as normoxic or hypoxic (HV > 1 cm3) by the best performing model. CONCLUSIONS: We created a data-driven methodology to predict hypoxia levels and hypoxia spatial patterns using CT, FDG-PET and DCE-CT features in NSCLC. The model correctly classifies all tumors, and could therefore, aid tumor hypoxia classification and patient stratification.

Feature selection methodology for longitudinal cone-beam CT radiomics.

BACKGROUND: Cone-beam CT (CBCT) scans are typically acquired daily for positioning verification of non-small cell lung cancer (NSCLC) patients. Quantitative information, derived using radiomics, can potentially contribute to (early) treatment adaptation. The aims of this study were to (1) describe and investigate a methodology for feature selection of a longitudinal radiomics approach (2) investigate which time-point during treatment is potentially useful for early treatment response assessment. MATERIAL AND METHODS: For 90 NSCLC patients CBCT scans of the first two fractions of treatment (considered as 'test-retest' scans) were analyzed, as well as weekly CBCT images. One hundred and sixteen radiomic features were extracted from the GTV of all scans and subsequently absolute and relative differences were calculated between weekly CBCT images and the CBCT of the first fraction. Test-retest scans were used to determine the smallest detectable change (C = 1.96 * SD) allowing for feature selection by choosing a minimum number of patients for which a feature should change more than 'C' to be considered as relevant. Analysis of which features change at which moment during treatment was used to investigate which time-point is potentially relevant to extract longitudinal radiomics information for early treatment response assessment. RESULTS: A total of six absolute delta features changed for at least ten patients at week 2 of treatment and increased to 61 at week 3, 79 at week 4 and 85 at week 5. There was 93% overlap between features selected at week 3 and the other weeks. CONCLUSIONS: This study describes a feature selection methodology for longitudinal radiomics that is able to select reproducible delta radiomics features that are informative due to their change during treatment, which can potentially be used for treatment decisions concerning adaptive radiotherapy. Nonetheless, the prognostic value of the selected delta radiomic features should be investigated in future studies.

[Effectiveness of Nivolumab in Large-Cell Neuroendocrine Carcinoma of the Lung - A Report of Two Cases].

BACKGROUND: The anti-programmed death-1 antibody nivolumab is an important treatment option for non-small-cell lung carcinoma.However, its effectiveness for large-cell neuroendocrine carcinomas(LCNEC)is still controversial.Here, we report 2 cases of LCNECs that responded to nivolumab.Case 1: A 62-year-old man received chemotherapy and radiotherapy for stage III A lung adenocarcinoma.One year later, another lung lesion was observed and diagnosed as LCNEC using surgical lung biopsy.Although he subsequently received some chemotherapy regimens, the patient developed new brain metastasis, expanded mediastinal lesion, and increased levels of the tumor marker pro-gastrin releasing peptide(ProGRP).We started nivolumab as the sixth-line treatment.In response, ProGRP levels significantly decreased and the mediastinal lesion became smaller.Case 2: A 55-year-old man was diagnosed with stage III A LCNEC and received chemotherapy and radiotherapy.The primary lesion was controlled; however, lung metastases developed and chemotherapy was unable to control them.We provided treatment with nivolumab as the third-line therapy.The tumor marker ProGRP decreased and the lung metastases became smaller. CONCLUSION: Nivolumab can be a valuable treatment option for LCNEC.

Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC.

INTRODUCTION: Noninvasive biomarkers that capture the total tumor burden could provide important complementary information for precision medicine to aid clinical decision making. We investigated the value of radiomic data extracted from pretreatment computed tomography images of the primary tumor and lymph nodes in predicting pathological response after neoadjuvant chemoradiation before surgery. METHODS: A total of 85 patients with resectable locally advanced (stage II-III) NSCLC (median age 60.3 years, 65% female) treated from 2003 to 2013 were included in this institutional review board-approved study. Radiomics analysis was performed on 85 primary tumors and 178 lymph nodes to discriminate between pathological complete response (pCR) and gross residual disease (GRD). Twenty nonredundant and stable features (10 from each site) were evaluated by using the area under the curve (AUC) (all p values were corrected for multiple hypothesis testing). Classification performance of each feature set was evaluated by random forest and nested cross validation. RESULTS: Three radiomic features (describing primary tumor sphericity and lymph node homogeneity) were significantly predictive of pCR with similar performances (all AUC = 0.67, p < 0.05). Two features (quantifying lymph node homogeneity) were predictive of GRD (AUC range 0.72-0.75, p < 0.05) and performed significantly better than the primary features (AUC = 0.62). Multivariate analysis showed that for pCR, the radiomic features set alone had the best-performing classification (median AUC = 0.68). Furthermore, for GRD classification, the combination of radiomic and clinical data significantly outperformed all other feature sets (median AUC = 0.73). CONCLUSION: Lymph node phenotypic information was significantly predictive for pathological response and showed higher classification performance than radiomic features obtained from the primary tumor.

The American College of Radiology Lung Imaging Reporting and Data System: Potential Drawbacks and Need for Revision.

Lung cancer screening using low-dose CT scanning reduces lung-cancer-specific and overall mortality in high-risk patients. A significant limitation of lung cancer screening is the false-positive rate. The American College of Radiology Lung Imaging Reporting and Data System (Lung-RADS) was designed to standardize reporting of low-dose lung cancer screening results and to decrease the false-positive rate without significantly compromising sensitivity. Implementing Lung-RADS can also improve cost-effectiveness. However, Lung-RADS has never been studied in a prospective fashion. It also does not have a specific reporting category for patients with isolated hilar and mediastinal adenopathy or pleural effusion in the absence of lung nodules. We report four such cases from our lung cancer screening program. We believe that this is a significant limitation of Lung-RADS and should be revised in its new version.