Faculty Bibliography

Cardiac amyloid A (AA) amyloidosis is rare. We present the case of a 72-year-old woman with obstructive hypertrophic cardiomyopathy (HCM) and biopsy-proven renal AA amyloidosis whose dyspnea and exercise intolerance had worsened over the previous year. Her AA amyloidosis was suspected to be secondary to chronic diverticulitis for which she had undergone hemicolectomy and sigmoidectomy 3 years prior. Echocardiographic findings were consistent with worsening left ventricular outflow tract obstruction at rest. Cardiac magnetic resonance imaging revealed patchy areas of midwall late gadolinium enhancement. Right ventricular endomyocardial biopsy did not reveal amyloid deposition, and cardiac technetium-99m pyrophosphate scintigraphy did not suggest transthyretin amyloidosis. The patient underwent septal myectomy with resection of an accessory papillary muscle. Pathological examination of the myectomy specimen was consistent with HCM. In addition, there was a thick layer of diffuse endocardial and vascular amyloid deposition that was identified as AA type by laser-microdissection with liquid chromatography-coupled tandem-mass spectrometry. This case report highlights the presence of 2 distinct disease processes occurring simultaneously and the importance of tissue diagnosis of AA amyloidosis, a condition that is not commonly associated with HCM.

Background: There is considerable interobserver variability in the pathological diagnosis of UIP and other ILD. The variability in finding "ground truth" presents a difficult problem during the development of deep learning platforms designed to diagnose ILD using AI. We describe the use of a smartphone application that allows for the collection of multiple opinions from sixteen pulmonary pathologists from nine countries as a novel method for finding "ground truth" for UIP diagnoses.
Design(s): Whole slide images from 14 consecutive interstitial lung disease cases were scanned by Aperio CS2 at 20x objective and sliced into multiple individual 7x7mm images, resulting in 355 JPEG image patches. These individual images were randomized and shown over the internet to 16 expert pathologists from 9 countries using the novel smartphone application, BonBon system. Expert lung pathologists were asked to classify each image into one of 8 categories: UIP/IPF; CTD/UIP; CHP/UIP; UIP/other cause; Non-UIP; "not sure"; "normal"; and "exclude". Images classified as "exclude" by any of the experts were deleted from analysis. All individual diagnostic classes selected for individual images were grouped by case, and the predominant class for each case, was used as "diagnosis". All diagnoses were analyzed using clustering analysis and Kaplan Meier statistics using JMP. Interobserver agreement was calculated by Fleiss kappa coefficient using R.
Result(s): The diagnosis of each of the 14 cases by each of the 16 pathologists showed that interobserver agreement using the 7 categories was poor (k=0.19). None of the cases were classified as CHP-UIP or UIP/others by a majority of pathologists. In order to simplify the diagnoses into more clinically relevant classes, the categories UIP/IPF, CHP-UIP, and UIP/others were grouped into UIP and Non-UIP and CTD-UIP into Non-UIP as shown in Figure 1. Clustering analysis stratified the diagnoses of each case into 3 clusters as shown in Figure 2A (k= 0.77, 0.63, and 0.03, respectively), validating cluster A and B were meaningful. Log rank test showed significant survival difference between UIP and Non-UIP groups only for cases in cluster A (P=0.017) (Fig 2B) but not for cases in cluster B (Fig 2 C). Eventually, 269 H&E images with high agreement of UIP and non-UIP group were selected as "ground truth" for AI training. (Figure presented)
Conclusion(s): Classification of image patches from WSI over APP offers a useful method to standardize UIP diagnosis and to develop diagnostic AI

Background: When the first diagnosis of a well-differentiated neuroendocrine neoplasm (WDNEN) is made on a biopsy, crush artifact may impede mitotic counting, and the Ki-67 proliferative index (KPI) plays a more important role in grading. Few studies have examined the reliability of KPI in the grading of metastatic (met) WDNEN.
Design(s): Cases were retrieved from 2008-19. For each primary (1degree) and met, a 40x hotspot image of a Ki-67 stained slide was taken. KPI was analyzed by the ImmunoRatio Plugin using ImageJ software. All were validated by independent manual counting. In 1 case, crush artifact precluded use of ImageJ. If multiple mets were present, the largest was selected. Cytology and cases with fewer than 100 cells were omitted. Tumors were graded as G1(KPI<3%), G2(KPI 3-20%), or G3(KPI>20%). Grade and KPI were compared between each 1degree and met.
Result(s): 67 cases, including 38 mets from 29 1degree WDNEN, were evaluated. There were 12, 2, 2, 1, 17, and 4 mets from lung, thymus, middle ear, pancreas, small bowel, & colon respectively. The greatest variations in KPI from 1degree to met were seen in lung compared to all other sites. In 24/38(63%) of all mets, the grade was the same as 1degree. In 14/38(37%) of all mets, the grade was different: 4/14(29%) were lower while 10/14(71%) were higher than 1degree. In mets from lung, 2 had lower, 6 had the same, & 4 had higher grade. In mets from middle ear, the grades increased. In mets from small bowel 2 had lower, 12 had the same, and 3 had higher grade. In mets from colon 3 had the same and 1 had higher grade. And in mets from thymus & pancreas, the grades remained the same. See Fig 1. 3 mets were diagnosed before 1degree (2 days to 2 months). Mets with higher grade than 1degree tended to have longer time interval between 1degree and met, but this was not significant at the 95% confidence level (Kruskal-Wallis test, p=0.08). 28 mets were regional and 10 were distant. There was no correlation between met site and grade change (Person Chi-square, p=0.33). Also see Table 1. (Table presented)
Conclusion(s): Our study showed that in most met WDNEN (63%), the grade remained the same as the 1degree. The grade was higher in 10/38(26%) and lower in 4/38(11%). There was a trend toward higher grade in mets that occurred at a longer time interval after the 1degree. Fig 2 shows a potential diagnostic pitfall when the met shows much higher KPI than 1degree. In conclusion, if a met WDNEN is suspected as a firsttime diagnosis, KPI must be used cautiously for classification of WDNEN since over/under-grading may occur

Background: Molecular screening for therapeutically targetable alterations is considered standard of care in the management of non-small cell lung cancer. However, most molecular assays utilize tumor tissue, which may not always be available. This has led to the development of "liquid biopsies": Plasma-based Next Generation Sequencing (NGS) tests that use circulating tumor DNA as a substrate to identify relevant targets. In this study, we sought to determine the level of agreement between the two tests as they are used in clinical practice and to investigate the utility of concurrent plasma/tissue testing.
Design(s): We identified 47 cases of lung adenocarcinoma diagnosed over the past 2 years, who received concurrent testing (within 24 weeks) with both our institution's tissue (DNA and RNA based) NGS assay and a commercial plasma-based NGS assay. The results were reviewed to establish concordance in the identification of mutations or fusions deemed clinically relevant or for which a targeted therapy was available.
Result(s): Patients in our cohort represented both new diagnoses (31 cases, 66%) and disease progression on treatment (16 cases, 34%). The majority (83%) had stage 4 disease. Tissue NGS identified clinically relevant mutations in 39 cases (83%), including in 14 (88%) of the previously treated cases. By comparison, plasma NGS identified clinically relevant mutations in 20 cases (43%, p<0.001), including 6 treated cases (38%, p=0.01). Tissue NGS identified therapeutic targets in 55% of cases and 75% of previously treated cases; while plasma NGS identified targets in 28% and 25% respectively (p<0.001 and p=0.01 respectively). All clinically relevant mutations identified by plasma NGS were also detected by tissue NGS, while plasma NGS detected only 51% those identified by tissue NGS. Discrepant cases involved hotspot mutations and actionable fusions including those in EGFR, KRAS, and ROS1 (Table 1).(Table presented)
Conclusion(s): Tissue NGS detects more clinically relevant alterations and therapeutic targets compared to plasma NGS, especially in the post-treatment setting, suggesting that tissue NGS should be the preferred method for molecular testing of lung adenocarcinoma. Additionally, all clinically relevant mutations identified by plasma NGS were also detected by tissue NGS, suggesting that tissue/plasma cotesting provides little additional benefit over tissue NGS alone. Plasma NGS can detect clinically relevant targets, and still plays an important role when tissue testing is impractical or not possible

Background: Spread through air spaces (STAS) has been reported to be associated with a worse prognosis in adenocarcinoma of lung. Recently it has been proposed that STAS be reported on frozen sections (FS) as an indication for more aggressive surgery (lobectomy vs sublobar resection). We undertook this study to evaluate the reliability of STAS assessment on FS compared to FS controls (FSC) and non-frozen remaining tumor (RT).
Design(s): Cases of adenocarcinoma that had FS of the tumor were identified retrospectively from two institutions. For each case, the following was recorded: Presence(+)/absence(-) of STAS on FS, FSC, and RT; and % of tumor patterns: Lepidic(L), acinar(A), papillary(P), micropapillary(M), solid(S). Grades were defined as follows: G1=L predominant with A/P G2=A/P predominant with <20% M/S G3=M/S predominant or >=20% M/S Cross-tabulations and Spearman's correlations (rs) were performed in SPSS (see Table). rs 0.3-<0.5 = low correlation.
Result(s): 165 cases were found. In 2 cases the tumor was only present on FS/FSC slides. STAS+ was present on FS in 47/165(28%), of which 28/47(60%) had STAS+ on FSC (rs=0.39) and 22/46(48%) had STAS+ on RT (rs=0.34) (1 tumor was only present on FS/FSC). Of the 40 STAS+ cases on RT, 18/40(45%) did not have STAS (STAS-) on FS (rs=0.34). 118/165 of cases were STAS- on FS; of these, 18/117(15%) were STAS+ on RT (rs=0.34) (1 tumor was only present on FS/FSC). Fig 1. Of the 47 cases with STAS+ on FS, 4(15%) were G1, 15(32%) were G2, and 28(60%) were G3 (rs =0.30). Of the 15 G2 cases with STAS+ on FS, 7 had 10% to <20% high grade pattern (M/S). Of the 28 G3 cases with STAS+ on FS, 13 had >= 30% high grade pattern. Of the 40 cases with STAS+ on RT, 1(2.5%) case was G1, 7(18%) cases were G2, and 32(80%) cases were G3 (rs=0.46). Fig 2. (Table presented)
Conclusion(s): The correlations among FS, FSC, and RT are low. FS STAS+ cases remain STAS+ only in 60% of FSC and 48% of RT. STAS shows higher correlation with grade on RT than it does on FS. These results show a lack of reliability in the assessment of STAS on FS, and do not support the proposal of reporting STAS in FS to make intraoperative clinical decisions, as doing so may subject patients to unnecessarily aggressive surgery

INTRODUCTION/BACKGROUND:Molecular and immunologic breakthroughs are transforming the management of thoracic cancer, although advances have not been as marked for malignant pleural mesothelioma (MPM) where pathologic diagnosis has been essentially limited to three histologic subtypes. METHODS:A multidisciplinary group (pathologists, molecular biologists, surgeons, radiologists and oncologists), sponsored by EURACAN/IASLC met in 2018, to critically review the current classification. RESULTS:Recommendations include: 1) classification should be updated to include architectural patterns, and stromal and cytologic features that refine prognostication 2) subject to data accrual, malignant mesothelioma in situ could be an additional category, 3) grading of epithelioid MPMs should be routinely undertaken, 4) favorable/unfavorable histologic characteristics should be routinely reported, 5) clinically relevant molecular data (PD-L1, BAP1, CDKN2A) should be incorporated into reports, if undertaken, 6) other molecular data should be accrued as part of future trials 7) resection specimens (i.e. extended pleurectomy/decortication and extrapleural pneumonectomy) should be pathologically staged with smaller specimens being clinically staged, 8) ideally, at least 3 separate areas should be sampled from the pleural cavity, including areas of interest identified on pre-surgical imaging, 9) image-acquisition protocols/imaging terminology should be standardized to aid research/refine clinical staging, 10) multidisciplinary tumor boards should include pathologists to ensure appropriate treatment options are considered, 11) all histologic subtypes should be considered potential candidates for chemotherapy, 12) patients with sarcomatoid or biphasic mesothelioma should not be excluded from first line clinical trials unless there is a compelling reason, 13) tumor subtyping should be further assessed in relation to duration of response to immunotherapy, 14) systematic screening of all patients for germline mutations is not recommended, in the absence of a family history suspicious for BAP1 syndrome. CONCLUSION/CONCLUSIONS:These multidisciplinary recommendations for pathology classification and application will allow more informative pathologic reporting and potential risk stratification, to support clinical practice, research investigation and clinical trials.

Anterior mediastinal lesions while rare, are heterogeneous in etiology, with broad differential considerations that may be narrowed by drawing on discriminating clinical, radiologic, and histopathologic features. This manuscript will review the radiographic and pathologic correlation of anterior mediastinal lesions of thymic, lymphomatous, and germ-cell origin.

The purpose of this study was to identify the optimal tracer kinetic model from T₁ -weighted dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data and evaluate whether parameters estimated from the optimal model predict tumor aggressiveness determined from histopathology in patients with papillary thyroid carcinoma (PTC) prior to surgery. In this prospective study, 18 PTC patients underwent pretreatment DCE-MRI on a 3 T MR scanner prior to thyroidectomy. This study was approved by the institutional review board and informed consent was obtained from all patients. The two-compartment exchange model, compartmental tissue uptake model, extended Tofts model (ETM) and standard Tofts model were compared on a voxel-wise basis to determine the optimal model using the corrected Akaike information criterion (AICc) for PTC. The optimal model is the one with the lowest AICc. Statistical analysis included paired and unpaired t-tests and a one-way analysis of variance. Bonferroni correction was applied for multiple comparisons. Receiver operating characteristic (ROC) curves were generated from the optimal model parameters to differentiate PTC with and without aggressive features, and AUCs were compared. ETM performed best with the lowest AICc and the highest Akaike weight (0.44) among the four models. ETM was preferred in 44% of all 3419 voxels. The ETM estimates of K^trans in PTCs with the aggressive feature extrathyroidal extension (ETE) were significantly higher than those without ETE (0.78 ± 0.29 vs. 0.34 ± 0.18 min^-1 , P = 0.005). From ROC analysis, cut-off values of K^trans , v_e and v_p , which discriminated between PTCs with and without ETE, were determined at 0.45 min^-1 , 0.28 and 0.014 respectively. The sensitivities and specificities were 86 and 82% (K^trans ), 71 and 82% (v_e ), and 86 and 55% (v_p ), respectively. Their respective AUCs were 0.90, 0.71 and 0.71. We conclude that ETM K^trans has shown potential to classify tumors with and without aggressive ETE in patients with PTC.

AIMS/OBJECTIVE:The 2015 WHO classification for lung adenocarcinoma (ACA) provides criteria for adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA) and invasive adenocarcinoma (INV), but differentiating these entities can be difficult. As our understanding of prognostic significance increases, inconsistent classification is problematic. This study assesses agreement within an international panel of lung pathologists and identifies factors contributing to inconsistent classification. METHODS AND RESULTS/RESULTS:Sixty slides of small lung ACAs were reviewed digitally by six lung pathologists in three rounds, with consensus conferences and examination of elastic stains in round 3. The panel independently reviewed each case to assess final diagnosis, invasive component size and predominant pattern. The kappa value for AIS and MIA versus INV decreased from 0.44 (round 1) to 0.30 and 0.34 (rounds 2 and 3). Interobserver agreement for invasion (AIS versus other) decreased from 0.34 (round 1) to 0.29 and 0.29 (rounds 2 and 3). The range of the measured invasive component in a single case was up to 19.2 mm among observers. Agreement was excellent in tumours with high-grade cytology and fair with low-grade cytology. CONCLUSIONS:Interobserver agreement in small lung ACAs was fair to moderate, and improved minimally with elastic stains. Poor agreement is primarily attributable to subjectivity in pattern recognition, but high-grade cytology increases agreement. More reliable methods to differentiate histological patterns may be necessary, including refinement of the definitions as well as recognition of other features (such as high-grade cytology) as a formal part of routine assessment.

Electronic-cigarettes (E-cigs) are marketed as a safe alternative to tobacco to deliver the stimulant nicotine, and their use is gaining in popularity, particularly among the younger population. We recently showed that mice exposed to short-term (12 wk) E-cig smoke (ECS) sustained extensive DNA damage in lungs, heart, and bladder mucosa and diminished DNA repair in lungs. Nicotine and its nitrosation product, nicotine-derived nitrosamine ketone, cause the same deleterious effects in human lung epithelial and bladder urothelial cells. These findings raise the possibility that ECS is a lung and bladder carcinogen in addition to nicotine. Given the fact that E-cig use has become popular in the past decade, epidemiological data on the relationship between ECS and human cancer may not be known for a decade to come. In this study, the carcinogenicity of ECS was tested in mice. We found that mice exposed to ECS for 54 wk developed lung adenocarcinomas (9 of 40 mice, 22.5%) and bladder urothelial hyperplasia (23 of 40 mice, 57.5%). These lesions were extremely rare in mice exposed to vehicle control or filtered air. Current observations that ECS induces lung adenocarcinomas and bladder urothelial hyperplasia, combined with our previous findings that ECS induces DNA damage in the lungs and bladder and inhibits DNA repair in lung tissues, implicate ECS as a lung and potential bladder carcinogen in mice. While it is well established that tobacco smoke poses a huge threat to human health, whether ECS poses any threat to humans is not yet known and warrants careful investigation.