Genomic ALK alterations in primary and relapsed neuroblastoma.

BACKGROUND: Genomic alterations of the anaplastic lymphoma kinase gene (ALK) occur recurrently in neuroblastoma, a pediatric malignancy of the sympathetic nervous system. However, information on their development over time has remained sparse. METHODS: ALK alterations were assessed in neuroblastomas at diagnosis and/or relapse from a total of 943 patients, covering all stages of disease. Longitudinal information on diagnostic and relapsed samples from individual patients was available in 101 and 102 cases for mutation and amplification status, respectively. RESULTS: At diagnosis, ALK point mutations occurred in 10.5% of all cases, with highest frequencies in stage 4 patients <18 months. At relapse, ALK alteration frequency increased by 70%, both in high-risk and non-high-risk cases. The increase was most likely due to de novo mutations, frequently leading to R1275Q substitutions, which are sensitive to pharmacological ALK inhibition. By contrast, the frequency of ALK amplifications did not change over the course of the disease. ALK amplifications, but not mutations, were associated with poor patient outcome. CONCLUSIONS: The considerably increased frequency of ALK mutations at relapse and their high prevalence in young stage 4 patients suggest surveying the genomic ALK status regularly in these patient cohorts, and to evaluate ALK-targeted treatment also in intermediate-risk patients.

Artificial Intelligence-Based Tool for Tumor Detection and Quantitative Tissue Analysis in Colorectal Specimens.

Digital pathology adoption allows for applying computational algorithms to routine pathology tasks. Our study aimed to develop a clinical-grade artificial intelligence (AI) tool for precise multiclass tissue segmentation in colorectal specimens (resections and biopsies) and clinically validate the tool for tumor detection in biopsy specimens. The training data set included 241 precisely manually annotated whole-slide images (WSIs) from multiple institutions. The algorithm was trained for semantic segmentation of 11 tissue classes with an additional module for biopsy WSI classification. Six case cohorts from 5 pathology departments (4 countries) were used for formal and clinical validation, digitized by 4 different scanning systems. The developed algorithm showed high precision of segmentation of different tissue classes in colorectal specimens with composite multiclass Dice score of up to 0.895 and pixel-wise tumor detection specificity and sensitivity of up to 0.958 and 0.987, respectively. In the clinical validation study on multiple external cohorts, the AI tool reached sensitivity of 1.0 and specificity of up to 0.969 for tumor detection in biopsy WSI. The AI tool analyzes most biopsy cases in less than 1 minute, allowing effective integration into clinical routine. We developed and extensively validated a highly accurate, clinical-grade tool for assistive diagnostic processing of colorectal specimens. This tool allows for quantitative deciphering of colorectal cancer tissue for development of prognostic and predictive biomarkers and personalization of oncologic care. This study is a foundation for a SemiCOL computational challenge. We open-source multiple manually annotated and weakly labeled test data sets, representing a significant contribution to the colorectal cancer computational pathology field.

Sensitivity and specificity of loss of heterozygosity analysis for the classification of rare germline variants in BRCA1/2: results of the observational AGO-TR1 study (NCT02222883).

Variant-specific loss of heterozygosity (LOH) analyses may be useful to classify BRCA1/2 germline variants of unknown significance (VUS). The sensitivity and specificity of this approach, however, remains unknown. We performed comparative next-generation sequencing analyses of the BRCA1/2 genes using blood-derived and tumour-derived DNA of 488 patients with ovarian cancer enrolled in the observational AGO-TR1 trial (NCT02222883). Overall, 94 pathogenic, 90 benign and 24 VUS were identified in the germline. A significantly increased variant fraction (VF) of a germline variant in the tumour indicates loss of the wild-type allele; a decreased VF indicates loss of the variant allele. We demonstrate that significantly increased VFs predict pathogenicity with high sensitivity (0.84, 95% CI 0.77 to 0.91), poor specificity (0.63, 95% CI 0.53 to 0.73) and poor positive predictive value (PPV; 0.71, 95% CI 0.62 to 0.79). Significantly decreased VFs predict benignity with low sensitivity (0.26, 95% CI 0.17 to 0.35), high specificity (1.0, 95% CI 0.96 to 1.00) and PPV (1.0, 95% CI 0.85 to 1.00). Variant classification based on significantly increased VFs results in an unacceptable proportion of false-positive results. A significantly decreased VF in the tumour may be exploited as a reliable predictor for benignity, with no false-negative result observed. When applying the latter approach, VUS identified in four patients can now be considered benign. Trial registration number NCT02222883.

Cervical Intraepithelial Neoplasia 3 (Cervical Intraepithelial Neoplasia 3/High-Grade Squamous Intraepithelial Lesion) in Human Papillomavirus-Vaccinated Women-Results From a Tertiary Referral Center.

OBJECTIVE: High-grade cervical intraepithelial neoplasia (CIN 3) still develops in some vaccinated women despite established effectiveness of prophylactic human papillomavirus (HPV) vaccination. The purpose of this study was to define characteristics of women with CIN 3 after HPV vaccination referred to a gynecological dysplasia unit. MATERIALS AND METHODS: Retrospective analysis of HPV-vaccinated women with CIN 3 in a single German center. Between July 2018 and September 2020, 791 women were referred to our university hospital-based dysplasia unit for colposcopic evaluation of abnormal cytological findings. Human papillomavirus vaccination status was retrieved. Human papillomavirus typing was performed in lesional biopsies and cervical swabs. RESULTS: Nine women were identified who had previously been vaccinated with the quadrivalent HPV vaccine (Q-HPV) and were diagnosed with histologically confirmed CIN 3/high-grade squamous intraepithelial lesion. The Q-HPV had been administered between 12 and 28 years of age and 1-13 years before CIN 3 diagnosis. Nine different high-risk (HR)-HPV types were found in the CIN 3 biopsies, 6 monoinfections (twice HPV 16, once HPV 18, HPV 31, HPV 52, HPV 58, respectively) and 3 dual infections (HPV 33 + 52, HPV 51 + 52, HPV 53 + 66). Seven of these 9 HR-HPV types are not covered by Q-HPV, but only 2 CIN 3 lesions carried HR-HPV types not included in the nonavalent HPV vaccine. CONCLUSIONS: It is important to implement vaccination recommendations and administer HPV vaccination as early as possible in HPV-naive individuals. Because not all HR-HPV types are covered by the available HPV vaccines, other types may still cause CIN 3/high-grade squamous intraepithelial lesion. This requires further screening after vaccination, especially in women who were previously vaccinated with the bivalent or the quadrivalent HPV vaccine.

Quality control stress test for deep learning-based diagnostic model in digital pathology.

Digital pathology provides a possibility for computational analysis of histological slides and automatization of routine pathological tasks. Histological slides are very heterogeneous concerning staining, sections' thickness, and artifacts arising during tissue processing, cutting, staining, and digitization. In this study, we digitally reproduce major types of artifacts. Using six datasets from four different institutions digitized by different scanner systems, we systematically explore artifacts' influence on the accuracy of the pre-trained, validated, deep learning-based model for prostate cancer detection in histological slides. We provide evidence that any histological artifact dependent on severity can lead to a substantial loss in model performance. Strategies for the prevention of diagnostic model accuracy losses in the context of artifacts are warranted. Stress-testing of diagnostic models using synthetically generated artifacts might be an essential step during clinical validation of deep learning-based algorithms.

Optimized PD-L1 scoring of gastric cancer.

BACKGROUND: PD-1/PD-L1-Immunotherapy has been approved for gastric carcinoma. PD-L1 assessment by immunohistochemistry is the principle biomarker. Are biopsies able to map the actual PD-L1 status of the entire tumor? METHODS: Whole tumor slides of 56 gastric carcinoma were analyzed to determine the distribution of PD-L1 positive cells in the entire tumor areas. Tissue micro arrays with four cores of the tumor surface, which represents the endoscopically accessible biopsy zone, were built from the same tumors. The PD-L1 CPS value was determined separately for each core. Preoperative diagnostic biopsies were available for 22 of the tumors. PD-L1 prevalence, sensitivity and specificity were analyzed using the whole tumor slides as reference scores. Molecular subtyping was performed and related to the PD-L1 status. RESULTS: 27.3% of cases were PD-L1 negative (CPS < 1), 43.6% showed low PD-L1 expression (CPS ≥ 1 to < 5), 12.7% moderate (CPS ≥ 5 to < 10) and 16.4% strong expression (CPS ≥ 10). The biopsies showed best test characteristics if four surface biopsies were analyzed combined, i.e., the CPS was calculated across all four biopsies. The prevalence showed a distribution similar to the resection specimens, sensitivity was 0.73 and specificity 1.0. Using fewer surface biopsies decreased sensitivity and specificity and caused false-negative classifications. Compared to the TMAs, the preoperative biopsies showed reduced sensitivity (0.412). CONCLUSIONS: This is the first comprehensive study to optimize PD-L1 assessment in gastric cancer using endoscopically available tissue. The obtained PD-L1 prevalence is consistent with data of current clinical studies. Calculation of the test characteristics shows that surface biopsies can be indicative of the true PD-L1 status based on the resection specimen. However, an adequate number of biopsies is required. In this study, n = 4 biopsies yielded best results.

Sex-specific prognostic effect of CD66b-positive tumor-infiltrating neutrophils (TANs) in gastric and esophageal adenocarcinoma.

BACKGROUND: Tumor-associated neutrophils (TANs) have recently been identified as a relevant component of the tumor microenvironment (TME) in solid tumors. Within the TME TANs mediate either tumor-promoting or tumor-inhibiting activities. So far, their prognostic relevance remains to be determined. This study aims to evaluate the prognostic relevance of TANs in different molecular subtypes of gastric and esophageal adenocarcinoma. METHODS: We analyzed a total of 1118 Caucasian patients divided into gastric adenocarcinoma (n = 458) and esophageal adenocarcinoma cohort (n = 660) of primarily resected and neoadjuvant-treated individuals. The amount of CD66b + TANs in the tumor stroma was determined using quantitative image analysis and correlated to both molecular, as well as clinical data. RESULTS: An accumulation of TANs in the tumor stroma of gastric carcinomas was associated to a significant favorable prognosis (p = 0.026). A subgroup analysis showed that this effect was primarily related to the molecular chromosomal instable subtype (CIN) of gastric carcinomas (p = 0.010). This was only observed in female patients (p = 0.014) but not in male patients (p = 0.315). The same sex-specific effect could be confirmed in adenocarcinomas of the esophagus (p = 0.027), as well as in female individuals after receiving neoadjuvant therapy (p = 0.034). CONCLUSIONS: Together, we show a sex-specific prognostic effect of TANs in gastric cancer within a Caucasian cohort. For the first time, we showed that this sex-specific prognostic effect of TANs can also be seen in esophageal cancer.

Modern day screening for Lynch syndrome in endometrial cancer: the KEM experience.

PURPOSE: Current guidelines for Lynch syndrome detection in endometrial cancer (EC) patients rely either on risk evaluation, based on personal/family history, or detection of mismatch repair (MMR) deficiency on tumor tissue. We present a combined screening algorithm for Lynch syndrome. METHODS: In this study, 213 consecutive patients treated for EC at Kliniken Essen-Mitte between 2014 and 2018 were included. Personal/family history was evaluated by the Amsterdam II, revised Bethesda/German-DKG criteria and prediction model PREMM5. MMR testing was performed by immunohistochemistry (IHC) and/or polymerase chain reaction (PCR) based microsatellite analysis on tumor tissue. MLH1 promoter methylation analysis was performed in case of MLH1 loss or microsatellite instability. RESULTS: Based on personal/family history 2/213 (Amsterdam II), 31/213 (revised Bethesda/German-DKG) and 149/213 (PREMM5) patients were identified as at risk for Lynch syndrome. MMR analysis was performed by IHC in 51.2%, by PCR in 32.4%, and in 16.4% of patients both methods were used. MMR deficiency was detected in 20.6% (44/213). Methylation analysis was performed in 27 patients of whom, 22 (81.4%) showed MLH1 promoter hypermethylation. Only 9% of MMR deficient patients were identified as at risk for Lynch syndrome by the revised Bethesda/German-DKG criteria. A pathogenic germline mutation was discovered in 3 out of 20 patients that underwent genetic testing. None of these patients were younger than 50 years or had a family history of Lynch syndrome-associated malignancies. CONCLUSION: General MMR assessment is a feasible strategy to improve the detection of Lynch Syndrome in patients with EC.

Transdiaphragmatic Mucormycosis.

Mucormycosis is a life-threatening infection. This is the first report of transdiaphragmatic mucormycosis in a series of 3 patients. We observed this phenomenon in 11% of patients. Clinicians should be aware of this possibly underreported entity, and as a consequence we envision more comprehensive imaging studies in patients with mucormycosis.

Amplification of KRAS and its heterogeneity in non-Asian gastric adenocarcinomas.

BACKGROUND: Gastric cancer is one of the deadliest cancer entities worldwide. While surgery is the only curative treatment option in early tumors, for locally advanced and metastatic patients further therapeutic targets are needed. Several studies not only reported mutations but also amplifications of the KRAS locus in different cancer entities. More recently, KRAS amplification was discussed as a new therapeutic target. Little is known about the (prognostic) relevance and (heterogenic) distribution of KRAS amplification in gastric adenocarcinomas, especially in Non-Asian patients. METHODS: Amplification of the KRAS locus and corresponding protein expression was analyzed in 582 gastric adenocarcinomas employing fluorescence in-situ hybridization (FISH) and immunohistochemistry. Amplification status was correlated with clinico-pathological features, clinical outcome and molecular tumor data including a correlation to the TCGA subtypes of gastric carcinoma. RESULTS: KRAS amplification was detected in 27 out of 470 analysable tumors (5.7%) and correlated with protein expression of KRAS in all amplified tumors. Within the KRAS amplified gastric tumors 14/27 (51.9%) showed a heterogeneous distribution with also KRAS non-amplified tumor parts. According to TCGA 24 tumors (88.8%) were related to chromosomal instable tumors (CIN). The survival analysis of the entire patient cohort did not show any difference in overall survival in dependence on the KRAS status. However, a significant survival difference with a worse outcome for patients with KRAS amplified tumors was identified when analysing patients without neoadjuvant pre-treatment. CONCLUSIONS: We confirm the unfavorable prognosis of KRAS amplified tumors reported by other studies in (Asian) patient groups, at least in patients without neoadjuvant pre-treatment. Within KRAS amplified tumors we revealed intratumoral heterogeneity that may define a (more aggressive) tumor cell population which is more frequently observed in patients with lymph node metastases. Despite the heterogeneous distribution of KRAS amplified tumor clones, KRAS amplified locally advanced or metastasized gastric adenocarcinomas represent a therapeutically highly relevant tumor subgroup.

Deleterious somatic variants in 473 consecutive individuals with ovarian cancer: results of the observational AGO-TR1 study (NCT02222883).

BACKGROUND: For individuals with ovarian cancer (OC), therapy options mainly depend on BRCA1/2 germline status. What is the prevalence of deleterious somatic variants, that is, does genetic tumour testing identify subgroups of individuals who also might benefit from targeted therapy? METHODS: Paired analysis of tumour-derived versus blood-derived DNA to determine the prevalence of deleterious somatic variants in OC predisposition genes (ATM, BRCA1/2, BRIP1, MSH2/6, PALB2, RAD51C/D and TP53) and the PIK3CA and PTEN genes in individuals with OC (AGO-TR1 study, NCT02222883). Results were complemented by BRCA1, PALB2 and RAD51C promoter methylation analyses and stratified by histological subtype; 473 individuals were included. RESULTS: The combined analyses revealed that deleterious germline variants in established OC predisposition genes (all: 125/473, 26.4%; BRCA1/2: 97/473, 20.5%), deleterious somatic variants in established OC predisposition genes excluding TP53 (all: 39/473, 8.2%; BRCA1/2: 30/473, 6.3%) and promoter methylation (all: 67/473, 14.2%; BRCA1: 57/473, 12.1%; RAD51C: 10/473, 2.1%; PALB2: 0/473) were mutually exclusive, with a few exceptions. The same holds true for deleterious somatic PIK3CA and/or PTEN variants (33/473, 7.0%) found to be enriched in endometrioid and clear cell OC (16/35, 45.7%); 84.3 % of the deleterious single-nucleotide/indel germline variants in established OC predisposition genes showed significantly higher variant fractions (VFs) in the tumour-derived versus blood-derived DNA, indicating a loss of the wild-type alleles. CONCLUSION: Tumour sequencing of the BRCA1, BRCA2, PIK3CA and PTEN genes along with BRCA1 and RAD51C promoter methylation analyses identified large subgroups of germline mutation-negative individuals who may be addressed in interventional studies using PARP or PI3K/AKT/mTOR inhibitors. TRIAL REGISTRATION NUMBER: NCT02222883.

A cohort study on breakthrough invasive fungal infections in high-risk patients receiving antifungal prophylaxis.

OBJECTIVES: Antifungal prophylaxis is recommended for haematological patients at high risk of invasive fungal infections (IFIs). Incidence, optimal therapeutic management and outcome of breakthrough IFIs (bIFIs) are largely unknown. METHODS: To assess bIFI incidence, treatment and outcomes, data on patients undergoing AML remission-induction and consolidation chemotherapy and from allogeneic HSCT recipients on antifungal prophylaxis with itraconazole, micafungin or posaconazole were extracted from the Cologne Cohort of Neutropenic Patients (CoCoNut). bIFIs were classified according to revised EORTC/MSG criteria. RESULTS: From January 2004 to April 2013, 250 AML patients with 329 hospitalizations and 409 HSCT patients with 496 hospitalizations were identified. In AML patients, there were 16 (6.4%) proven or probable bIFIs and 44 (17.6%) possible bIFIs. In HSCT patients, there were 14 (3.4%) proven or probable bIFIs and 37 (9.0%) possible bIFIs. Proven cases included five candidaemias, two mucormycoses, three aspergilloses and one fusariosis. The most frequent choice for bIFI treatment was liposomal amphotericin B in AML patients (21/60; 35.0%) and continuation of posaconazole prophylaxis in HSCT patients (16/51; 31.4%). In HSCT recipients, survival on day 365 was significantly lower in bIFI patients (AML, 63.3% versus 70.0%; P = 0.297; HSCT, 49.0% versus 66.8%; P = 0.012). Comparison of continuation of prophylaxis versus switch of antifungal class as first-line treatment showed no significant difference regarding response to treatment and survival. CONCLUSIONS: Rates of bIFIs observed in our population were comparable to previous data. There was no clear shift towards rare species, as previously reported. A high variety of treatment approaches was observed.

Our 2014 approach to mucormycosis.

Mucormycosis, previously termed as zygomycosis, is caused by fungi belonging to the order Mucorales and is a very severe disease in immunocompromised patients with an often unfavourable outcome. Given the high morbidity and mortality of mucormycosis, establishing a timely diagnosis followed by immediate treatment is of major importance. As randomised clinical trials are lacking, we present our current diagnostic and treatment pathways for mucormycosis in the immunocompromised host. Due to the difficulty to distinguish mucormycosis from other filamentous fungi, mucormycosis always has to be considered as differential diagnosis in predisposed patients. Diagnostic procedures comprise imaging, microscopy, culture and histopathology and need to be rigorously used. In patients with a high suspicion of mucormycosis, e.g. reversed halo sign on computed tomography scanning, our approach combines liposomal amphotericin B (LAmB) with surgical debridement. In light of the rapid deterioration and poor prognosis of these patients, we prefer a daily dose of LAmB of at least 5 mg kg(-1) despite nephrotoxicity. In patients with stable disease we switch to posaconazole 200 mg four times per day. In case of progression antifungal combination is an option.

Assignment of the biological value of solid breast masses based on quantitative evaluations of spectral CT examinations using electron density mapping, Zeffective mapping and iodine mapping.

OBJECTIVE: We aimed to asses, in a clinical setting, whether the newly available quantitative evaluation of electron density (ED) in spectral CT examinations of the breast provide information on the biological identity of solid breast masses and whether ED maps yield added value to the diagnostic information of iodine maps and Zeff maps calculated from the same CT image datasets. METHODS: All patients at the University Breast Cancer Center who underwent a clinically indicated Dual Layer Computed Tomography (DLCT) examination for staging of invasive breast cancer from 2018 to 2020 were prospectively included. Iodine concentration maps, Zeff maps and ED maps were automatically reconstructed from the DLCT datasets. Region of interest (ROI) based evaluations in the breast target lesions and in the aorta were performed semi-automatically in identical anatomical positions using dedicated evaluation software. Case-by-case evaluations were carried independently by 2 of 4 radiologists for each examination, respectively. Statistical analysis derived from the ROIs was done by calculating ROC/AUC curves and Youden indices. RESULTS: The evaluations comprised 166 DLCT examinations. In the ED maps the measurements in the breast target lesions yielded Youden cutpoints of 104.0% (reader 1) and 103.8% (reader 2) resulting in AUCs of 0.63 and 0.67 at the empirical cutpoints. The variables "Zeff" and "iodine content" derived from the target lesions showed superior diagnostical results, with a Youden cutpoint of 8.0 mg/ml in the iodine maps and cutpoints of 1.1/1.2 in the Zeff maps the AUCs ranging from 0.84 to 0.85 (p = 0.023 to <0.000). The computational combination of Zeff and ED measurements in the target lesions yielded a slight AUC increase (readers 1: 0.85-0.87; readers 2: 0.84-0.94). The ratios of the measured values in the target lesions normalized to the values measured in the aorta showed comparable results. The AUCs of ED derived from the cutpoints showed inferior results to those derived from the Zeff maps and iodine maps (ED: 0.64 and 0.66 for reader 1 and 2; Zeff: 0.86 for both readers; iodine content: 0.89 and 0.86 for reader 1 and 2, respectively). The computational combination of the ED results and the Zeff measurements did not lead to a clinically relevant diagnostic gain with AUCs ranging from 0.86 to 0.88. CONCLUSIONS: Quantitative assessments of Zeff, iodine content and ED all targeting the physical and chemical aspects of iodine uptake in solid breast masses confirmed diagnostically robust cutpoints for the differentiation of benign and malignant findings (Zeff < 7.7, iodine content of <0.8 mg/ml). The evaluations of the ED did not indicate any added diagnostic value beyond the quantitative assessments of Zeff and iodine content. Further research is warranted to develop suitable clinical indications for the use of ED maps.

Incidental FOXL2 mutated adult granulosa cell tumour of the ovary with thecoma-like foci.

We report on the incidental finding of a FOXL2 mutated adult granulosa cell tumour of the ovary with thecoma-like foci, a rare entity recently described by Jennifer N. Stall and Robert H. Young in a series of sixteen cases in 2019, displaying features differing from conventional adult granulosa cell tumour. Our aim is to specify the morphologic and molecular particularities of this presumably underrecognized finding, with a short presentation of the typical clinical context. Awareness of this rare and challenging neoplasm with indeterminate clinical course is crucial in routine diagnostics.

Intermodal correlation of quantitative CT-data and MRI-biomarkers derived from synchronous spectral CT-maps and breast MRI-examinations with molecular biomarkers in invasive ductal breast carcinomas.

OBJECTIVE: To asses the correlation of data derived from dual-layer (DL)-CT material-maps and breast MRI data with molecular biomarkers in invasive breast carcinomas. METHODS: All patients at the University Breast Cancer Center who underwent a clinically indicated DLCT-scan and a breast MRI for staging of invasive ductal breast cancer from 2016 to 2020 were prospectively included. Iodine concentration-maps, and Zeffective-maps were reconstructed from the CT-datasets. T1w- and T2w-signal intensities, ADC and the clustered shapes of the dynamic-curves (washout, plateau, persistent) were derived from the MRI-datasets. ROI-based evaluations of the cancers and the reference "musculature" were performed semi-automatically in identical anatomical positions using dedicated evaluation software. Statistical analysis was essentially descriptive using Spearmans rank correlation and (multivariable) partial correlation. RESULTS: The signal intensities measured in the 3rd phase of the contrast dynamics correlated at an intermediate level of significance with the iodine content and the Zeffective-values derived from the breast target lesions (Spearmans rank correlation-coefficient r = 0.237/0.236, p = 0.002/0.003). The bivariate and the multivariate analyses displayed correlations of an intermediate significance level of the iodine content and the Zeff-values measured in the breast target lesions with immunhistochemical subtyping (r = 0.211-0.243, p = 0.002-0.009, respectively). The Zeff-values showed the strongest correlations when normalized to the values measured in the musculature and in the aorta (r = -0.237 to -0.305, r=<0.001-0.003). The MRI-assessments showed correlations of intermediate to high significance and low to intermediate significance between the ratios of the T2w-signal intensities and the trends of the dynamic curves measured in the breast target lesions and in musculature and immunohistochemical cancer subtyping, respectively (T2w: r = 0.232-0.249, p = 0.003/0.002; dynamics: r = -0.322/-0.245, p=<0.001/0.002). The ratios of the clustered trends of the dynamic curves measured in the breast target lesions and in musculature correlated with tumor grading on intermediate significance level (r = -0.213 and -0.194, p = 0.007/0.016) and with Ki-67 on a low significance level (bivariate analysis: r = -0.160, p = 0.040). There was only a weak correlation between the ADC-values measured in the breast target lesions and HER2-expression (bivariate ansalysis: r = 0.191, p = 0.030). CONCLUSIONS: Our preliminary results indicate that evaluation of perfusion based DLCT-data and MRI-biomarkers show correlations with the immunhistochemical subtyping of invasive ductal breast carcinomas. Further clinical research is warranted in order to validate the value of the results and define clinical situations in which the use of the described DLCT-biomaker and MRI biomarkers may be helpful in clinical patient care.

First Clinical Experience With [68Ga]Ga-FAPI-46-PET/CT Versus [18F]F-FDG PET/CT for Nodal Staging in Cervical Cancer.

INTRODUCTION: In several solid tumors, fibroblast activation protein (FAP) is overexpressed by cancer-associated fibroblasts in the tumor microenvironment. Preliminary evidence suggests that detection and staging are feasible with PET/CT imaging using [68Ga]-radiolabeled inhibitors of FAP also in cervical cancer (CC). Our study aims to explore the accuracy of [68Ga]Ga-fibroblast activation protein inhibitor (FAPI)-46 PET/CT and [18F]F-FDG PET/CT compared with histopathological results of surgical lymph node (LN) staging before primary chemoradiation. METHODS: Seven consecutive women with treatment-naive and biopsy-proven locally advanced CC underwent both whole-body [68Ga]Ga-FAPI-46- and [18F]F-FDG PET/CT, for imaging nodal staging before systematic laparoscopic lymphadenectomy of the pelvic and para-aortic region. Location and number of suspicious LNs in PET imaging were recorded and compared with the results of histopathological analysis, including immunohistochemical staining for FAP. RESULTS: All 7 patients had focal uptake above background in their tumor lesions in [68Ga]Ga-FAPI-46 PET/CT. [68Ga]Ga-FAPI-46 PET/CT showed a higher tumor-to-background ratio (TBR) in primary tumor as well as in LN metastasis. Median TBRmax values using liver were 32.02 and 5.15 for [68Ga]Ga-FAPI-46 PET/CT and [18F]F-FDG PET/CT, respectively. Median TBRmax using blood pool was 18.45 versus 6.85 for [68Ga]Ga-FAPI-46 PET/CT and [18F]F-FDG PET/CT, respectively. Higher TBR also applies for nodal metastasis: TBRmax was 14.55 versus 1.39 (liver) and 7.97 versus 1.8 (blood pool) for [68Ga]Ga-FAPI-46 PET/CT and [18F]F-FDG PET/CT, respectively. Overall, [68Ga]Ga-FAPI-46 PET/CT detected more lesions compared with [18F]F-FDG PET/CT. Following surgical staging, a total of 5 metastatic LNs could be pathologically confirmed, of which 2 and 4 were positive by [18F]F-FDG PET/CT and [68Ga]Ga-FAPI-46 PET/CT, respectively. CONCLUSION: [68Ga]Ga-FAPI-46 PET/CT seems useful to improve detection of nodal metastasis in patients with CCs. Future studies should aim to compare [68Ga]Ga-FAPI-46 PET/CT to surgical staging of pelvic and para-aortic LNs in patients with locally advanced CC.

Artificial intelligence for tumour tissue detection and histological regression grading in oesophageal adenocarcinomas: a retrospective algorithm development and validation study.

BACKGROUND: Oesophageal adenocarcinoma and adenocarcinoma of the oesophagogastric junction are among the most common malignant epithelial tumours. Most patients receive neoadjuvant therapy before complete tumour resection. Histological assessment after resection includes identification of residual tumour tissue and areas of regressive tumour, data which are used to calculate a clinically relevant regression score. We developed an artificial intelligence (AI) algorithm for tumour tissue detection and tumour regression grading in surgical specimens from patients with oesophageal adenocarcinoma or adenocarcinoma of the oesophagogastric junction. METHODS: We used one training cohort and four independent test cohorts to develop, train, and validate a deep learning tool. The material consisted of histological slides from surgically resected specimens from patients with oesophageal adenocarcinoma and adenocarcinoma of the oesophagogastric junction from three pathology institutes (two in Germany, one in Austria) and oesophageal cancer cohort of The Cancer Genome Atlas (TCGA). All slides were from neoadjuvantly treated patients except for those from the TCGA cohort, who were neoadjuvant-therapy naive. Data from training cohort and test cohort cases were extensively manually annotated for 11 tissue classes. A convolutional neural network was trained on the data using a supervised principle. First, the tool was formally validated using manually annotated test datasets. Next, tumour regression grading was assessed in a retrospective cohort of post-neoadjuvant therapy surgical specimens. The grading of the algorithm was compared with that of a group of 12 board-certified pathologists from one department. To further validate the tool, three pathologists processed whole resection cases with and without AI assistance. FINDINGS: Of the four test cohorts, one included 22 manually annotated histological slides (n=20 patients), one included 62 sides (n=15), one included 214 slides (n=69), and the final one included 22 manually annotated histological slides (n=22). In the independent test cohorts the AI tool had high patch-level accuracy for identifying both tumour and regression tissue. When we validated the concordance of the AI tool against analyses by a group of pathologists (n=12), agreement was 63·6% (quadratic kappa 0·749; p<0·0001) at case level. The AI-based regression grading triggered true reclassification of resected tumour slides in seven cases (including six cases who had small tumour regions that were initially missed by pathologists). Use of the AI tool by three pathologists increased interobserver agreement and substantially reduced diagnostic time per case compared with working without AI assistance. INTERPRETATION: Use of our AI tool in the diagnostics of oesophageal adenocarcinoma resection specimens by pathologists increased diagnostic accuracy, interobserver concordance, and significantly reduced assessment time. Prospective validation of the tool is required. FUNDING: North Rhine-Westphalia state, Federal Ministry of Education and Research of Germany, and the Wilhelm Sander Foundation.

Tumour area infiltration and cell count in endoscopic biopsies of therapy-naive upper GI tract carcinomas by QuPath analysis: implications for predictive biomarker testing.

Guidelines regulate how many (tumour-bearing) tissue particles should be sampled during gastric cancer biopsy to obtain representative results in predictive biomarker testing. Little is known about how well these guidelines are applied, how the number of tissue particles correlates with the actual tumour-infiltrated area and how many absolute tumour cells are captured. The study included endoscopic biopsies of untreated carcinomas of the upper gastrointestinal (GI)-tract during the 2016-2020 review period. Archival (H&E)-stained histological sections were digitised and the tumour areas were manually annotated. The tumour-bearing tissue area and absolute carcinoma cell count per case were determined by image analysis and compared with a reference primary surgical specimen. Biopsies from 253 patients were analysed. The following mean values were determined: (a) tumour tissue particle number: 6.5 (range: 1-25, standard deviation (SD) = 3.33), (b) number of tumour-bearing tissue particles: 4.7 (range: 1-20, SD = 2.80), (c) tumour-infiltrated area: 7.5 mm2 (range: 0.18-59.46 mm2, SD = 6.67 mm2), (d) absolute tumour cell count: 13,492 (range: 193-92,834, SD = 14,185) and (e) tumour cell count in a primary surgical specimen (tumour size: 6.7 cm): 105,200,176. The guideline-recommended tissue particle count of 10 was not achieved in 208 patients (82.2%) and the required tumour-bearing tissue particle count of 5 was not achieved in 133 patients (52.6%). Tissue particle count, tumour-infiltrated area and tumour cell count were only weakly correlated. Most cases featured an infiltrated area ≥ 4.5 mm2 (156, 61.7%). Cases with more tissue particles showed only a moderate increase in infiltrated area and tumour cells compared to cases with fewer particles. Biopsies are often used to determine predictive biomarkers, particularly Her2/neu and PD-L1. Diagnostic standards to ensure representative material have been suggested in guidelines to reduce false-negative predictions. However, the real-world practice seems to substantially deviate from recommended standards. To the best of our knowledge, this is the first systematic study describing the relationships between endoscopic tissue fragment number, actual infiltrated tumour area and carcinoma cell number. The data question the tissue particle number as a quality assessment parameter. We advocate histopathological reports indicating on which basis statements on therapy-relevant biomarkers were made. Digital pathology has the potential to objectively quantify the tissue for documentation, quality assessment and future clinical studies.