Vital Tumor Tissue Research Articles

Importance and implementation of radiological modalities in the diagnostics of soft tissue tumors

Malignant soft tissue tumors, in particular, require amultimodal treatment concept involving interdisciplinary cooperation between radiologists, pathologists, surgeons and oncologists at special tumor centers. The foundations of the treatment decision are the imaging diagnostics and the diagnosis confirmation based on tissue samples. The (local) extent and growth behavior of atumor are among the most important findings of imaging as they have adirect influence on the surgical procedure. The most important diagnostic procedure here is magnetic resonance imaging (MRI). The T1-weighted and fat-suppressed sequences after i.v. contrast administration are used to visualize the extent of the tumor. In synopsis with diffusion-weighted and T2-weighted sequences, adifferentiation between vital tumor tissue and tumor necrosis is additionally possible. This also enables targeted sampling from vital tumor parts so that the patient can be assigned to the appropriate treatment concept as quickly as possible.

Abstract 254: Triggering head and neck cancer cell cornification leads to mucosa-like differentiation, chromatin remodeling, and loss of cell malignancy

Abstract Head and neck squamous cell carcinoma (HNSCC) is the 6th most common tumor disease worldwide with a death rate of about 50%. As mortality and morbidity of affected patients were not substantially improved in recent decades, new treatment options are urgently needed. HNSCCs that are negative for the human papillomavirus are characterized by areas of differentiated keratinized tissue. Dissecting the mechanisms regulating this terminal differentiation of HNSCC cells may unravel targets with high potential for anti-tumor therapy. Using primary tumor-initiating spheroid cells, we established a model of HNSCC cell differentiation by cornification and observed a deprivation of cell malignancy leading to the adhesion of spheroid cells, loss of single-cell cloning capacity, and diminished tumor-initiating potential in immunodeficient mice. Analysis of our differentiation model employing ATAC-seq, RNA-seq, and proteomics showed an increased accessibility of small promoter regions despite overall genome closure, activation of a wound healing-associated signaling program, and upregulation of the stress keratin 17 (KRT17) as well as cornification markers including SPRR3. These results suggest that the differentiation of HNSCC cells resembles the differentiation process in other stem cell-maintained tissue systems. Multi-marker immunofluorescence analysis of human tissue revealed a reversion of the role of KRT17 from a basal stem-cell marker in normal mucosa to an early differentiation marker in HNSCC tissue and dysplastic mucosa preceding cornification. This proposes KRT17 as potential biomarker for HNSCC prevention screening. Human tissue analysis identified distinct cell differentiation states shared between HNSCC tissue and normal mucosa that were detected in higher and lower differentiated tumor tissue of distinct anatomical sub-locations. Cornification was observed to be induced at the interface between vital tumor tissue and necrotic, immune-infiltrated areas in human HNSCCs, suggesting a promoting influence of pro-inflammatory stimuli on cell differentiation. Treatment of tumor spheroids with inflammatory mediators resulted in cell attachment and cornification, indicating a potential strategy to stop the self-renewal of HNSCC cells. Our study thus reveals that the targeted differentiation of HNSCC tumor-initiating cells could be used as a future therapy approach against squamous cell carcinomas of the head and neck and other tissues. Citation Format: Felix Oppel, Sarah Gendreizig, Laura Martinez-Ruiz, Javier Florido, Alba López-Rodríguez, Harkiren Pabla, Lakshna Loganathan, Leonie Hose, Philipp Kühnel, Pascal Schmidt, Matthias Schürmann, Judith M. Neumann, Flavian Viyof Ful, Lars Uwe Scholtz, Ingo Todt, Ligum Dina, Frank Brasch, Niehaus Karsten, Germaine Escames, Tobias Busche, Jörn Kalinowski, Peter Goon, Holger Sudhoff. Triggering head and neck cancer cell cornification leads to mucosa-like differentiation, chromatin remodeling, and loss of cell malignancy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 254.

Multi-modal 3-Dimensional Visualization of Pediatric Neuroblastoma: Aiding Surgical Planning Beyond Anatomical Information

BackgroundPatient-specific 3D models of neuroblastoma and relevant anatomy are useful tools for surgical planning. However, these models do not represent the heterogenous biology of neuroblastoma. This heterogeneity is visualized with the ADC and 123I-MIGB-SPECT-CT imaging. Combining these multi-modal data into preoperative 3D heatmaps, may allow differentiation of the areas of vital and non-vital tumor tissue. We developed a workflow to create multi-modal preoperative 3D models for neuroblastoma surgery. MethodsWe included 7 patients who underwent neuroblastoma surgery between 2022 and 2023. We developed 3D models based on the contrast enhanced T1-weighted MRI scans. Subsequently, we aligned the corresponding ADC and 123I-MIBG-SPECT-CT images using rigid transformation. We estimated registration precision using the Dice score and the target registration error (TRE). 3D heatmaps were computed based on ADC and 123I-MIBG uptake. ResultsThe registration algorithm had a median Dice score of 0.81 (0.75–0.90) for ADC and 0.77 (0.65–0.91) for 123I-MIBG-SPECT. For the ADC registration, the median TRE of renal vessels was 4.90 mm (0.86–10.18) and of the aorta 4.67 mm (1.59–12.20). For the 123I -MIBG-SPECT imaging the TRE of the renal vessels was 5.52 mm (1.71–10.97) and 5.28 mm (3.33–16.77) for the aorta. ConclusionsWe successfully developed a registration workflow to create multi-modal 3D models which allows the surgeon to visualize the tumor and its biological behavior in relation to the surrounding tissue. Future research will include linking of pathological results to imaging data, to validate these multi-modal 3D models. Level of EvidenceLevel IV. Type of StudyClinical Research.

Computational Assessment of Spectral Heterogeneity within Fresh Glioblastoma Tissue Using Raman Spectroscopy and Machine Learning Algorithms.

Understanding and classifying inherent tumor heterogeneity is a multimodal approach, which can be undertaken at the genetic, biochemical, or morphological level, among others. Optical spectral methods such as Raman spectroscopy aim at rapid and non-destructive tissue analysis, where each spectrum generated reflects the individual molecular composition of an examined spot within a (heterogenous) tissue sample. Using a combination of supervised and unsupervised machine learning methods as well as a solid database of Raman spectra of native glioblastoma samples, we succeed not only in distinguishing explicit tumor areas-vital tumor tissue and necrotic tumor tissue can correctly be predicted with an accuracy of 76%-but also in determining and classifying different spectral entities within the histomorphologically distinct class of vital tumor tissue. Measurements of non-pathological, autoptic brain tissue hereby serve as a healthy control since their respective spectroscopic properties form an individual and reproducible cluster within the spectral heterogeneity of a vital tumor sample. The demonstrated decipherment of a spectral glioblastoma heterogeneity will be valuable, especially in the field of spectroscopically guided surgery to delineate tumor margins and to assist resection control.

P15.06.A HYBRID [18F]FET PET-MRI; A VALUABLE ADVANCED IMAGING TOOL TO DISCRIMINATE BETWEEN TUMOR RECURRENCE AND PSEUDOPROGRESSION IN GLIOMA PATIENTS

Abstract BACKGROUND One of the well-known challenges in the response assessment of glioma patients is differentiating tumor recurrence from treatment-related effects, i.e. pseudoprogression. The PET tracer O-(2-18F-fluoroethyl)-L-tyrosine ([18F]FET) visualizes increased amino acid metabolism and can potentially aid differentiation between vital tumor tissue and reactive changes, and can herewith guide clinical decision-making and surgical planning. This study aimed to assess the diagnostic yield of hybrid [18F]FET PET-MRI in a series of pre-treated patients suspected of glioma recurrence. MATERIAL AND METHODS This retrospective study included histologically-confirmed glioma patients who had undergone standard-of-care therapy consisting of gross-total resection surgery and/or radiotherapy. [18F]FET PET-MRI scans were performed between 04/2022 and 03/2023. Patient received 204 MBq (median, range: 180-242) [18F]FET intravenously, followed directly by a 45 minute dynamic PET and simultaneous MRI including DWI and gadolinium-based sequences (PWI). Time-activity-curves (TACs), showing the mean tissue radioactivity in tumor regions of interest as a function of time, were compared to the TAC in healthy tissue. Static PET images for qualitative visual analysis were reconstructed by accumulating the 20-40 minute timeframes. Tumor recurrence (i.e., a positive scan) was defined as focal uptake exceeding uptake in healthy brain parenchyma according to the joint EANM/EANO/RANO practice guideline/SNMMI procedure standard. Outcomes were compared to previously-obtained MRIs, post-operative pathology, and clinical/radiological follow-up. RESULTS Thirteen patients, 31% female, median age 39 (range: 28-50), with astrocytoma (grade 2_n=2; grade 3_n=1; grade 4_n=2), oligodendroglioma (grade 2_n=6; grade 3_n=1), and glioblastoma (n=1) were included. [18F]FET PET-MRI was positive in 9/13 patients (70%), which in 5/9 (55%) was confirmed by pathology (n=3) or clinical follow-up (n=2). In 6/9 patients with a positive scan (66%), the previously-obtained MRI (time interval range: 0.5-4.1 months) showed negative (n=4) or unclear (n=2) DWI and PWI findings. Four/13 (30%) patients had a negative [18F]FET PET-MRI and did not show signs of tumor progression after an average follow-up of 3, 5, 11 and 12 months, respectively. CONCLUSION Simultaneous [18F]FET PET-MRI shows high potential for accurate differentiation between true tumor progression and treatment-related pseudoprogression in glioma patients with equivocal findings on MRI including DWI and PWI. The diagnostic yield of this hybrid imaging technique exceeded that of MRI-only in our case series, and thus provides a promising advanced imaging tool in the follow-up of glioma patients. We aim at prospective studies to validate the clinical value of this multimodal approach.

Size and depth of residual tumor after neoadjuvant chemoradiotherapy in rectal cancer - implications for the development of new imaging modalities for response assessment.

With the shift towards organ preserving treatment strategies in rectal cancer it has become increasingly important to accurately discriminate between a complete and good clinical response after neoadjuvant chemoradiotherapy (CRT). Standard of care imaging techniques such as CT and MRI are well equipped for initial staging of rectal tumors, but discrimination between a good clinical and complete response remains difficult due to their limited ability to detect small residual vital tumor fragments. To identify new promising imaging techniques that could fill this gap, it is crucial to know the size and invasion depth of residual vital tumor tissue since this determines the requirements with regard to the resolution and imaging depth of potential new optical imaging techniques. We analyzed 198 pathology slides from 30 rectal cancer patients with a Mandard tumor regression grade 2 or 3 after CRT that underwent surgery. For each patient we determined response pattern, size of the largest vital tumor fragment or bulk and the shortest distance from the vital tumor to the luminal surface. The response pattern was shrinkage in 14 patients and fragmentation in 16 patients. For both groups combined, the largest vital tumor fragment per patient was smaller than 1mm for 38% of patients, below 0.2mm for 12% of patients and for one patient as small as 0.06mm. For 29% of patients the vital tumor remnant was present within the first 0.01mm from the luminal surface and for 87% within 0.5mm. Our results explain why it is difficult to differentiate between a good clinical and complete response in rectal cancer patients using endoscopy and MRI, since in many patients submillimeter tumor fragments remain below the luminal surface. To detect residual vital tumor tissue in all patients included in this study a technique with a spatial resolution of 0.06mm and an imaging depth of 8.9mm would have been required. Optical imaging techniques offer the possibility of detecting majority of these cases due to the potential of both high-resolution imaging and enhanced contrast between tissue types. These techniques could thus serve as a complimentary tool to conventional methods for rectal cancer response assessment.

CNSC-15. DECIPHERING RAMAN-SPECTRAL TISSUE HETEROGENEITY IN GLIOBLASTOMA

Abstract Raman Spectroscopy is able to provide a fast identification method for healthy and pathological tissues without the need for sample preparation. This makes it highly interesting for intraoperative use in identifying tumor types and borders. However, the capability of a machine-learning classifier to recognize known tissues based on Raman spectra relies on a solid ground truth that is usually provided by measuring small tissue samples first and analyzing the sample later by histopathology. This approach is limited in very closely interspersed tissues that cannot be identified macroscopically, such as glioblastoma where vital tumor tissue, necrosis and peritumoral tissue with characteristic changes to healthy brain tissue are tightly arranged. These areas have been shown to be distinct in their spectral properties, which makes tumor border identification aided by Raman Spectroscopy challenging. As infiltrative tumors leaving no tumor-cell-free brain tissue, borders need to be defined on a clinical scale, where extensive resection must be weighed against retaining functional brain tissue. For this, spectral analysis beyond tumor identification is necessary. In a computational approach we use methods of unsupervised learning and K-means Clustering to investigate heterogeneity within glioblastomas in the native state in order to reduce the complexity of this tumor type. Thereby, it was possible to extract spectra of necrotic tumor areas and to calculate a prediction probability for necrotic tissue within glioblastomas. Several clusters with spectral similarity to each other could be identified, which might represent the different areas of a glioblastoma. Two of these clusters were identified as probable grey and white matter, respectively, by comparison with autopsy tissue. In addition, this assignment independently confirmed the prediction of the classifier as non-necrotic tissue. Deciphering the spectral heterogeneity of glioblastoma in this way may be a great advantage for the surgeon to identify tumor borders and assist in resection control.

Chimeric Antigen Receptor T-cell Therapy: Imaging Response Criteria and Relation to Progression-free and Overall Survival.

Chimeric Antigen Receptor T-cell Therapy: Imaging Response Criteria and Relation to Progression-free and Overall Survival.

Overview and Future Perspectives on Tumor-Targeted Positron Emission Tomography and Fluorescence Imaging of Pancreatic Cancer in the Era of Neoadjuvant Therapy.

Simple SummaryPatients diagnosed with pancreatic cancer have a poor prognosis at time of diagnosis, with a 5-year survival rate of merely 10%. The only treatment with curative intent is surgical resection of the tumor and adjacent tumor-containing lymph nodes. To improve surgical outcome and survival, additional (imaging) tools are needed that support complete surgical tumor resection. Firstly, more accurate monitoring of tumor response to neoadjuvant treatment and subsequent determination of resectability is needed. Secondly, an imaging tool is needed for intraoperative guidance allowing accurate identification, delineation, and complete resection of the tumor and suspected lymph nodes. Therefore, both tumor-targeted PET/CT before surgery and real time fluorescence-guidance during surgery could be helpful to improve patient outcome. This review focusses on literature considering tumor-targeted PET/CT and near-infrared fluorescence (NIRF) imaging. Several tumor-targeted agents are under clinical evaluation, and several other promising agents are currently tested preclinically, both with promising results. Their additional diagnostic value and feasibility for future implementation in standard clinical care of PDAC has yet to be established in phase III clinical trials.Background: Despite recent advances in the multimodal treatment of pancreatic ductal adenocarcinoma (PDAC), overall survival remains poor with a 5-year cumulative survival of approximately 10%. Neoadjuvant (chemo- and/or radio-) therapy is increasingly incorporated in treatment strategies for patients with (borderline) resectable and locally advanced disease. Neoadjuvant therapy aims to improve radical resection rates by reducing tumor mass and (partial) encasement of important vascular structures, as well as eradicating occult micrometastases. Results from recent multicenter clinical trials evaluating this approach demonstrate prolonged survival and increased complete surgical resection rates (R0). Currently, tumor response to neoadjuvant therapy is monitored using computed tomography (CT) following the RECIST 1.1 criteria. Accurate assessment of neoadjuvant treatment response and tumor resectability is considered a major challenge, as current conventional imaging modalities provide limited accuracy and specificity for discrimination between necrosis, fibrosis, and remaining vital tumor tissue. As a consequence, resections with tumor-positive margins and subsequent early locoregional tumor recurrences are observed in a substantial number of patients following surgical resection with curative intent. Of these patients, up to 80% are diagnosed with recurrent disease after a median disease-free interval of merely 8 months. These numbers underline the urgent need to improve imaging modalities for more accurate assessment of therapy response and subsequent re-staging of disease, thereby aiming to optimize individual patient’s treatment strategy. In cases of curative intent resection, additional intra-operative real-time guidance could aid surgeons during complex procedures and potentially reduce the rate of incomplete resections and early (locoregional) tumor recurrences. In recent years intraoperative imaging in cancer has made a shift towards tumor-specific molecular targeting. Several important molecular targets have been identified that show overexpression in PDAC, for example: CA19.9, CEA, EGFR, VEGFR/VEGF-A, uPA/uPAR, and various integrins. Tumor-targeted PET/CT combined with intraoperative fluorescence imaging, could provide valuable information for tumor detection and staging, therapy response evaluation with re-staging of disease and intraoperative guidance during surgical resection of PDAC. Methods: A literature search in the PubMed database and (inter)national trial registers was conducted, focusing on studies published over the last 15 years. Data and information of eligible articles regarding PET/CT as well as fluorescence imaging in PDAC were reviewed. Areas covered: This review covers the current strategies, obstacles, challenges, and developments in targeted tumor imaging, focusing on the feasibility and value of PET/CT and fluorescence imaging for integration in the work-up and treatment of PDAC. An overview is given of identified targets and their characteristics, as well as the available literature of conducted and ongoing clinical and preclinical trials evaluating PDAC-targeted nuclear and fluorescent tracers.

PATH-43. RAMAN SPECTROSCOPY AS A TOOL IN NEUROSURGERY

Abstract BACKGROUND Raman Spectra have been shown to be sufficiently characteristic to their samples of origin that they can be used in a wide range of applications including distinction of intracranial tumors. While not replacing pathological analysis, the advantage of non-destructive sample analysis and extremely fast feedback make this technique an interesting tool for surgical use. METHODS We sampled intractanial tumors from more than 300 patients at the Centre Hospitalier Luxembourg over a period of three years and compared the spectra of different tumor entities, different tumor subregions and healthy surrounding tissue. We created machine-learning based classifiers that include tissue identification as well as diagnostics. RESULTS To this end, we solved several classes in the intracranial tumor classification, and developed classifiers to distinguish primary central nervous system lymphoma from glioblastoma, which is an important differential diagnosis, as well as meningioma from the surrounding healthy dura mater for identification of tumor tissue. Within glioblastoma, we resolve necrotic, vital tumor tissue and peritumoral infiltration zone.We are currently developing a multi-class classifier incorporating all tissue types measured. CONCLUSIONS Raman Spectroscopy has the potential to aid the surgeon in the surgery theater by providing a quick assessment of the tissue analyzed with regards to both tumor identity and tumor margin identification. Once a reliable classifier based on sufficient patient samples is developed, this may even be integrated into a surgical microscope or a neuronavigation system.

Metabolic Tumor Microenvironment Characterization of Contrast Enhancing Brain Tumors Using Physiologic MRI.

The tumor microenvironment is a critical regulator of cancer development and progression as well as treatment response and resistance in brain neoplasms. The available techniques for investigation, however, are not well suited for noninvasive in vivo characterization in humans. A total of 120 patients (59 females; 61 males) with newly diagnosed contrast-enhancing brain tumors (64 glioblastoma, 20 brain metastases, 15 primary central nervous system (CNS) lymphomas (PCNSLs), and 21 meningiomas) were examined with a previously established physiological MRI protocol including quantitative blood-oxygen-level-dependent imaging and vascular architecture mapping. Six MRI biomarker maps for oxygen metabolism and neovascularization were fused for classification of five different tumor microenvironments: glycolysis, oxidative phosphorylation (OxPhos), hypoxia with/without neovascularization, and necrosis. Glioblastoma showed the highest metabolic heterogeneity followed by brain metastasis with a glycolysis-to-OxPhos ratio of approximately 2:1 in both tumor entities. In addition, glioblastoma revealed a significant higher percentage of hypoxia (24%) compared to all three other brain tumor entities: brain metastasis (7%; p < 0.001), PCNSL (8%; p = 0.001), and meningioma (8%; p = 0.003). A more aggressive biological brain tumor behavior was associated with a higher percentage of hypoxia and necrosis and a lower percentage of remaining vital tumor tissue and aerobic glycolysis. The proportion of oxidative phosphorylation, however, was rather similar (17–26%) for all four brain tumor entities. Tumor microenvironment (TME) mapping provides insights into neurobiological differences of contrast-enhancing brain tumors and deserves further clinical cancer research attention. Although there is a long roadmap ahead, TME mapping may become useful in order to develop new diagnostic and therapeutic approaches.

High rate of complete histopathological response in hepatocellular carcinoma patients after combined transarterial chemoembolization and stereotactic body radiation therapy.

BACKGROUNDLiver transplantation (LT) presents a curative treatment option in patients with early stage hepatocellular carcinoma (HCC) who are not eligible for resection or ablation therapy. Due to a risk of up 30% for waitlist drop-out upon tumor progression, bridging therapies are used to halt tumor growth. Transarterial chemoembolization (TACE) and less commonly stereotactic body radiation therapy (SBRT) or a combination of TACE and SBRT, are used as bridging therapies in LT. However, it remains unclear if one of those treatment options is superior. The analysis of explant livers after transplantation provides the unique opportunity to investigate treatment response by histopathology.AIMTo analyze histopathological response to a combination of TACE and SBRT in HCC in comparison to TACE or SBRT alone. METHODSIn this multicenter retrospective study, 27 patients who received liver transplantation for HCC were analyzed. Patients received either TACE or SBRT alone, or a combination of TACE and SBRT as bridging therapy to liver transplantation. Liver explants of all patients who received at least one TACE and/or SBRT were analyzed for the presence of residual vital tumor tissue by histopathology to assess differences in treatment response to bridging therapies. Statistical analysis was performed using Fisher-Freeman-Halton exact test, Kruskal-Wallis and Mann-Whitney-U tests.RESULTSFourteen patients received TACE only, four patients SBRT only, and nine patients a combination therapy of TACE and SBRT. There were no significant differences between groups regarding age, sex, etiology of underlying liver disease or number and size of tumor lesions. Strikingly, analysis of liver explants revealed that almost all patients in the TACE and SBRT combination group (8/9, 89%) showed no residual vital tumor tissue by histopathology, whereas TACE or SBRT alone resulted in significantly lower rates of complete histopathological response (0/14, 0% and 1/4, 25%, respectively, P value < 0.001). CONCLUSIONOur data suggests that a combination of TACE and SBRT increases the rate of complete histopathological response compared to TACE or SBRT alone in bridging to liver transplantation.

RARE-20. A RARE CASE OF A PRIMARY CENTRAL NERVOUS SYSTEM NEUROENDOCRINE CARCINOMA AND SUCCESSFULL THERAPY IN A FIVE-YEAR-OLD CHILD

Neuroendocrine tumors (NETs) are rare neoplasms predominantly arising in the GI-tract or the lungs of adults. To date, only ten cases of primary CNS NETs have been reported with just three of them describing a neuroendocrine carcinoma (NEC) in patients aged 34–77 years and none occurring in a child. We report on a previously healthy 5-year-old boy, who presented with headaches, nausea and vomiting and was diagnosed with a left cerebellar solid mass with a cystic component, radiologically suggestive of a pilocytic astrocytoma. After gross-total resection, histological analysis revealed an epithelial tumor growing in a nest-like pattern with a very high mitotic frequency, staining positive for CK8, CK18 and CK19. Chromogranin A and synaptophysin expression indicated a neuroendocrine differentiation. Molecular analysis of the tumor tissue revealed a KRAS- splice-site mutation (c451-3C>T). After extensive search for an extracranial primary, including Ga-68 DOTANOC-PET-CT, the diagnosis of a primary CNS NEC was made, and proton irradiation was performed. However, the patient developed an in-field recurrence just five weeks after the end of radiotherapy. The tumor was re-resected en-bloc, showing vital tumor tissue, demonstrating its aggressiveness. Chemotherapy consisting of etoposide, cisplatin and ifosfamide was initiated. After two cycles chemotherapy was continued with etoposide and carboplatin for another four cycles. The patient remains disease free one year after the end of relapse-treatment, supporting the beneficial effect of platinum- and etoposide-based chemotherapy for this tumor entity. Physical exam revealed a sagittal synostosis with a mild dolichocephaly. Interestingly, the KRAS-mutation was discovered to be a maternal germline mutation, previously described as likely benign. However, alterations of the RAS/MAPK pathway have been described in NECs and in craniosynostosis cases. It remains to be elucidated whether the KRAS-mutation is merely a variant of uncertain significance or might have been implicated in the development of this exceptional tumor.

Applying machine learning to optical coherence tomography images for automated tissue classification in brain metastases

PurposeA precise resection of the entire tumor tissue during surgery for brain metastases is essential to reduce local recurrence. Conventional intraoperative imaging techniques all have limitations in detecting tumor remnants. Therefore, there is a need for innovative new imaging methods such as optical coherence tomography (OCT). The purpose of this study is to discriminate brain metastases from healthy brain tissue in an ex vivo setting by applying texture analysis and machine learning algorithms for tissue classification to OCT images.MethodsTumor and healthy tissue samples were collected during resection of brain metastases. Samples were imaged using OCT. Texture features were extracted from B-scans. Then, a machine learning algorithm using principal component analysis (PCA) and support vector machines (SVM) was applied to the OCT scans for classification. As a gold standard, an experienced pathologist examined the tissue samples histologically and determined the percentage of vital tumor, necrosis and healthy tissue of each sample. A total of 14.336 B-scans from 14 tissue samples were included in the classification analysis.ResultsWe were able to discriminate vital tumor from healthy brain tissue with an accuracy of 95.75%. By comparing necrotic tissue and healthy tissue, a classification accuracy of 99.10% was obtained. A generalized classification between brain metastases (vital tumor and necrosis) and healthy tissue was achieved with an accuracy of 96.83%.ConclusionsAn automated classification of brain metastases and healthy brain tissue is feasible using OCT imaging, extracted texture features and machine learning with PCA and SVM. The established approach can prospectively provide the surgeon with additional information about the tissue, thus optimizing the extent of tumor resection and minimizing the risk of local recurrences.

DCE-MRI in Glioma, Infiltration Zone and Healthy Brain to Assess Angiogenesis: A\xa0Biopsy Study

PurposeTo explore the focal predictability of vascular growth factor expression and neovascularization using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in glioma.Methods120 brain biopsies were taken in vital tumor, infiltration zone and normal brain tissue of 30 glioma patients: 17 IDH(isocitrate dehydrogenase)-wildtype glioblastoma (GBM), 1 IDH-wildtype astrocytoma °III (together prognostic group 1), 3 IDH-mutated GBM (group 2), 3 anaplastic astrocytomas IDH-mutated (group 3), 4 anaplastic oligodendrogliomas and 2 low-grade oligodendrogliomas (together prognostic group 4). A mixed linear model evaluated the predictabilities of microvessel density (MVD), vascular area ratio (VAR), mean vessel size (MVS), vascular endothelial growth factor and receptors (VEGF-A, VEGFR‑2) and vascular endothelial-protein tyrosine phosphatase (VE-PTP) expression from Tofts model kinetic and model-free curve parameters.ResultsAll kinetic parameters were associated with VEGF‑A (all p < 0.001) expression. Ktrans, kep and ve were associated with VAR (p = 0.006, 0.004 and 0.01, respectively) and MVS (p = 0.0001, 0.02 and 0.003, respectively) but not MVD (p = 0.84, 0.74 and 0.73, respectively). Prognostic groups differed in Ktrans (p = 0.007) and ve (p = 0.004) values measured in the infiltration zone. Despite significant differences of VAR, MVS, VEGF‑A, VEGFR‑2, and VE-PTP in vital tumor tissue and the infiltration zone (p = 0.0001 for all), there was no significant difference between kinetic parameters measured in these zones.ConclusionThe DCE-MRI kinetic parameters show correlations with microvascular parameters in vital tissue and also reveal blood-brain barrier abnormalities in the infiltration zones adequate to differentiate glioma prognostic groups.

Benefit of Static FET PET in Pretreated Pediatric Brain Tumor Patients with Equivocal Conventional MRI Results.

MRI has shortcomings in differentiation between tumor tissue and post-therapeutic changes in pretreated brain tumor patients. We assessed 22 static FET-PET/CT-scans of 17 pediatric patients (median age 12 years, range 2-16 years, ependymoma n=4, medulloblastoma n=4, low-grade glioma n=6, high-grade glioma n=3, germ cell tumor n=1, choroid plexus tumor n=1, median follow-up: 112 months) with multimodal treatment. FET-PET/CT-scans were analyzed visually by 3 independent nuclear medicine physicians. Additionally quantitative FET-Uptake for each lesion was determined by calculating standardized uptake values (SUVmaxT/SUVmeanB, SUVmeanT/SUVmeanB). Histology or clinical follow-up served as reference. Static FET-PET/CT reliably distinguished between tumor tissue and post-therapeutic changes in 16 out of 17 patients. It identified correctly vital tumor tissue in 13 patients and post-therapeutic changes in 3 patients. SUV-based analyses were less sensitive than visual analyses. Except from a choroid plexus carcinoma, all tumor entities showed increased FET-uptake. Our study comprises a limited number of patients but results corroborate the ability of FET to detect different brain tumor entities in pediatric patients and discriminate between residual/recurrent tumor and post-therapeutic changes. We observed a clear benefit from additional static FET-PET/CT-scans when conventional MRI identified equivocal lesions in pretreated pediatric brain tumor patients. These results warrant prospective studies that should include dynamic scans.

Diffusion-weighted MRI improves response assessment after definitive radiotherapy in patients with NSCLC

BackgroundComputed tomography (CT) is the standard procedure for follow-up of non-small-cell lung cancer (NSCLC) after radiochemotherapy. CT has difficulties differentiating between tumor, atelectasis and radiation induced lung toxicity (RILT). Diffusion-weighted imaging (DWI) may enable a more accurate detection of vital tumor tissue. The aim of this study was to determine the diagnostic value of MRI versus CT in the follow-up of NSCLC.MethodsTwelve patients with NSCLC stages I-III scheduled for radiochemotherapy were enrolled in this prospective study. CT with i.v. contrast agent and non enhanced MRI were performed before and 3, 6 and 12 months after treatment. Standardized ROIs were used to determine the apparent diffusion weighted coefficient (ADC) within the tumor. Tumor size was assessed by the longest longitudinal diameter (LD) and tumor volume on DWI and CT. RILT was assessed on a 4-point-score in breath-triggered T2-TSE and CT.ResultsThere was no significant difference regarding LD and tumor volume between MRI and CT (p ≥ 0.6221, respectively p ≥ 0.25). Evaluation of RILT showed a very high correlation between MRI and CT at 3 (r = 0.8750) and 12 months (r = 0.903). Assessment of the ADC values suggested that patients with a good tumor response have higher ADC values than non-responders.ConclusionsDWI is equivalent to CT for tumor volume determination in patients with NSCLC during follow up. The extent of RILT can be reliably determined by MRI. DWI could become a beneficial method to assess tumor response more accurately. ADC values may be useful as a prognostic marker.

Molecular targets for diagnostic and intraoperative imaging of pancreatic ductal adenocarcinoma after neoadjuvant FOLFIRINOX treatment

Neoadjuvant systemic treatment is increasingly being integrated in the standard treatment of pancreatic ductal adenocarcinoma (PDAC) patients to improve oncological outcomes. Current available imaging techniques remain unreliable in assessing response to therapies, as they cannot distinguish between (vital) tumor tissue and therapy induced fibrosis (TIF). Consequently, resections with tumor positive margins and subsequent early post-operative recurrences occur and patients eligible for potential radical resection could be missed. To optimize patient selection and monitor results of neoadjuvant treatment, PDAC-specific diagnostic and intraoperative molecular imaging methods are required. This study aims to evaluate molecular imaging targets for PDAC after neoadjuvant FOLFIRINOX treatment. Expression of integrin αvβ6, carcinoembryonic antigen cell adhesion molecule 5 (CEACAM5), mesothelin, prostate-specific membrane antigen (PSMA), urokinase-type plasminogen activator receptor, fibroblast activating receptor, integrin α5 subunit and epidermal growth factor receptor was evaluated using immunohistochemistry. Immunoreactivity was determined using the semiquantitative H-score. Resection specimens from patients after neoadjuvant FOLFIRINOX treatment containing PDAC (n = 32), tumor associated pancreatitis (TAP) and TIF (n = 15), normal pancreas parenchyma (NPP) (n = 32) and tumor positive (n = 24) and negative (n = 56) lymph nodes were included. Integrin αvβ6, CEACAM5, mesothelin and PSMA stainings showed significantly higher expression in PDAC compared to TAP and NPP. No expression of αvβ6, CEACAM5 and mesothelin was observed in TIF. Integrin αvβ6 and CEACAM5 allow for accurate metastatic lymph node detection. Targeting integrin αvβ6, CEA, mesothelin and PSMA has the potential to distinguish vital PDAC from fibrotic tissue after neoadjuvant FOLFIRINOX treatment. Integrin αvβ6 and CEACAM5 detect primary tumors and tumor positive lymph nodes.

Flexible Endoscopic Biopsy: Identifying Factors to Increase Accuracy in Diagnosing Benign and Malignant Laryngopharyngeal Pathology

To assess the influence that several factors, such as the amount of obtained biopsies, difficult procedures, biopsy site and the experience of the attending physician, have on accuracy of flexible endoscopic biopsy (FEB). 203 FEB procedures for benign or malignant laryngopharyngeal lesions were prospectively included. During the procedure, three representative biopsies (macroscopically containing vital tumor tissue and not only necrosis or healthy tissue) were obtained. The accuracy of each biopsy was separately analyzed. Difficulties during the procedures leading to failure of acquiring three representative biopsies were recorded and classified into tumor, patient and procedural factors. Histological results of FEB were defined correct when consistent with clinical context, additional biopsies or Positron emission tomography-computed tomography (PET-CT) revealed equivalent pathology, or the lesion was stable or resolved in >6 months follow-up. The first representative biopsy yielded a correct diagnosis in 65% of the cases. After the second representative biopsy, 78% was correctly diagnosed. The contribution of the third and fourth representative biopsies to accuracy was 3%. The overall accuracy of FEB was 85%. Difficult procedures were more likely to result in misdiagnosis, whereas biopsy site or experience of the attending physician did not influence results. FEB was accurate in diagnosing laryngopharyngeal lesions when at least two representative biopsies were obtained. Accuracy of FEB could be further improved by limiting possible constraints during the procedures, for example by selecting, informing, and anesthetizing patients carefully.

Tumour response in non-small-cell lung cancer patients treated with chemoradiotherapy - Can spectral CT predict recurrence?

Tumour response in lung cancer treatment is monitored by measuring lesion size in computed tomography (CT). Spectral CT (SCT) offers additional information on tumour tissue besides morphology. We evaluated SCT iodine content (IC) and performed spectral slope analysis to assess the response of non-small-cell lung cancer (NSCLC) to chemoradiotherapy (CRT). Eighty-three patients with advanced NSCLC treated by CRT prospectively underwent single-phase, contrast-enhanced SCT. Evaluation of all patients included treatment response (RECIST 1.1), quantitative measurements as well as SCT IC determination and spectral slope analysis in NSCLC primaries. Measurements were performed at the maximum cross-diameter of tumours and in areas with high iodine values (hotspot analysis). Iodine difference (ΔIC) was calculated. Secondary outcome parameters were IC and spectral slopes in mediastinal lymph nodes (n=61). Twenty-four patients (29%) showed complete remission after CRT. Thirty-four patients (41%) had stable disease (SDSCT ) or partial regression (PRSCT ). Progressive disease (PDSCT ) was seen in 25 patients (30%). Hotspot analysis showed significantly higher iodine values in PDSCT than in SDSCT /PRSCT (P<0.001). Ten patients (12%) with initially stable disease in SCT showed progressive disease during follow-up for up to 18months (PDFU ). These patients also had significantly higher hotspot iodine values and ΔIC in the initial scan compared to patients with SD throughout the follow-up period (SDFU ) (29%) (P<0.001). Enlarged lymph nodes showed significantly lower iodine content and a lower spectral slope pitch than normal-sized nodes (P=0.003 to 0.029). Spectral CT-derived iodine content of NSCLC following CRT may help in predicting recurrence. Hotspot analysis and iodine heterogeneity allow the identification of residual vascularisation as an indicator of vital tumour tissue, indicating that IC might be a suitable imaging biomarker for predicting tumour progression. Iodine content and spectral slope analysis might also help in identifying metastatic lymph nodes.