Current Organizations / Institutes

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Previous Organizations / Institutes

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Fuad Damirov has a total of 30 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Major Postoperative Complications and Survival After Lung Cancer Resection in Patients Aged ≥80 Years: Risk Factor Analysis

    by Fuad Damirov, Junli Ke, Javad Karimbayli, Mircea G. Stoleriu, Sascha Dreher, Enole Boedeker, Sibylle Gerz, Rudolf A. Hatz, Gerhard Preissler

    This study aimed to identify risk factors for major postoperative complications (TMM) and their impact on overall survival in patients aged ≥80 years undergoing lung cancer surgery, a group at increased risk of morbidity. A total of 88 patients aged ≥80 years who underwent anatomical lung resections were retrospectively analyzed. Postoperative complications were classified into minor or no complications (TMM 0–2) and major (TMM ≥ 3) complications. Logistic regression analysis was performed to identify independent predictors of major complications. Kaplan–Meier estimates were used to measure overall survival. Major complications occurred in 24 patients (27.3%). Multivariable regression analysis identified perioperative blood transfusion as an independent risk factor for major complications (p = 0.0009). Patients with major complications exhibited significantly reduced overall survival (p = 0.0009). Subgroup analysis revealed that patients who underwent minimally invasive surgery had significantly better survival (p = 0.01). Moreover, perioperative transfusion correlated with diminished overall survival (p = 0.0027). In patients aged ≥80 years undergoing lung resections, the occurrence of major postoperative complications is associated with significantly impaired survival. Minimally invasive surgical approaches and blood conservation strategies may mitigate complications and enhance long-term outcomes in this high-risk group.

  • Open Access

    Evaluating the Role of Advanced Age and Risk Factors in Postoperative Outcomes Following Major Lung Cancer Resection

    by Fuad Damirov, Javad Karimbayli, Junli Ke, Mircea Gabriel Stoleriu, Ughur Aghamaliyev, Sascha Dreher, Enole Boedeker, Sibylle Gerz, Rudolf Alexander Hatz, Gerhard Preissler

    Background: The incidence of lung cancer increases with age. On average, patients diagnosed with lung cancer are about 70 years. It is known that older patients are more prone to complications after major lung resection due to physiological changes; however, there is still a lack of knowledge of predictive factors associated with a higher complication risk. Aims: In this study the association of age and postoperative complication rates in lung cancer patients is analyzed. Further, predictors of postoperative complications in the era of minimally invasive surgery in older patients are identified. Methods: We retrospectively analyzed 180 consecutive patients with pathologically proven lung adenocarcinoma and squamous cell carcinoma. Patients were categorized into septuagenarians and octogenarians. Univariate and multivariate analyses were conducted to detect risk factors of postoperative morbidity. Results: There were 141 (78.33%) and 39 patients (21.67%) in the septuagenarian group and octogenarian group, respectively. 67 (37.2%) patients experienced postoperative complications. The thirty‐day mortality rate was 1.6%. The groups did not differ in terms of postoperative complications. Upon multivariate analysis, ECOG score ≥ 1 ( p = 0.032), lowered FEV1/FVC ( p = 0.029), and hypoalbuminemia ( p = 0.027) were significant predictors for the development of major complications after lung cancer surgery. Conclusion: Age over 80 years was not found to be an independent risk factor for the complication rates after lung cancer surgery. However, ECOG performance status ≥ 1, reduced FEV1/FVC, and lower serum albumin levels were independently associated with major postoperative complications.


  • Open Access

    Perioperative Predictive Factors for Tumor Regression and Survival in Non-Small Cell Lung Cancer Patients Undergoing Neoadjuvant Treatment and Lung Resection

    by Fuad Damirov, Mircea Gabriel Stoleriu, Farkhad Manapov, Enole Boedeker, Sascha Dreher, Sibylle Gerz, Thomas Hehr, Evelin Sandner, German Ott, Rudolf Alexander Hatz, et al.

    Our study aimed to identify predictors for the effectiveness of tumor regression in lung cancer patients undergoing neoadjuvant treatment and cancer resections. Patients admitted between 2016 and 2022 were included in the study. Based on the histology of the tumor, patients were categorized into a lung adenocarcinoma group (LUAD) and squamous cell carcinoma group (SQCA). Ninety-five patients with non-small-cell lung cancer were included in the study. A total of 58 (61.1%) and 37 (38.9%) patients were included in the LUAD and SQCA groups, respectively. Additionally, 9 (9.5%), 56 (58.9%), and 30 (31.6%) patients were categorized with a tumor regression score of I, II, and III, respectively. In multivariable analyses, histology of the primary tumor (SQCA), lymph node size in the preoperative CT scan (>1.7 cm), and absolute tumor size reduction after neoadjuvant treatment (>2.6 cm) independently predict effectiveness of tumor regression (OR [95% confidence interval, p-value] of 6.88 [2.40–19.77, p < 0.0001], 3.13 [1.11–8.83, p = 0.0310], and 3.76 [1.20–11.81, p = 0.0233], respectively). Age > 70 years, extended resection > one lobe, and tumor recurrence or metastasis were identified as significant independent predictors of reduced overall survival. Assessment of tumor size before and after neoadjuvant treatment might help to identify high-risk patients with decreased survival and to improve patient management and care.

  • Open Access

    Histology of the Primary Tumor, Lymph Node, and Tumor Size upon Neoadjuvant Treatment Predict Effectiveness of Complete Pathologic Response in Patients Undergoing Primary Lung Cancer Resections

    by Fuad Damirov, Mircea Gabriel Stoleriu, Farkhad Manapov, Enole Boedeker, Sascha Dreher, Sibylle Gerz, Thomas Hehr, Evelin Sandner, German Ott, Rudolf Alexander Hatz, et al.

    Our study aimed to identify predictors for the effectiveness of tumor regression in lung cancer patients undergoing neoadjuvant treatment and cancer resections. Patients admitted between 2016 and 2022 were included in the study. Based on the histology of the tumor, patients were categorized into lung adenocarcinoma group (LUAD), and squamous cell carcinoma group (SQCA). Ninety-five patients with non-small cell lung cancer were included in the study. Fifty-eight (61.1%) and 37 (38.9%) patients were included in the LUAD and SQCA groups, respectively. Nine (9.5%), 56 (58.9%), and 30 (31.6%) patients were categorized with a tumor regression score of I, II, and III respectively. In multivariable analyses, histology of the primary tumor (SQCA), lymph node size in the preoperative CT scan (>1.7cm) and absolute tumor size reduction after neoadjuvant treatment (>2.6 cm) independently predict effectiveness of tumor regression (OR, [95% Confidence interval, p-value] of 6.88 [2.40-19.77, p70 years, extended resection >one lobe, and tumor recurrence or metastasis were identified as significant independent predictors of reduced overall survival. Assessment of tumor size before and after neoadjuvant treatment might help to identify high-risk patients with decreased survival and to improve patient management and care.

  • Open Access

    Histology of the Primary Tumor Correlates with False Positivity of Integrated 18F-FDG-PET/CT Lymph Node Staging in Resectable Lung Cancer Patients

    by Fuad Damirov, Mircea Gabriel Stoleriu, Farkhad Manapov, Karen Büsing, Julia Dorothea Michels, Gerhard Preissler, Rudolf A. Hatz, Peter Hohenberger, Eric D. Roessner

    This study aimed to evaluate the diagnostic accuracy and false positivity rate of lymph node (LN) staging assessed by integrated 18F-fluorodeoxyglucose positron emission computed tomography (18F-FDG-PET/CT) in patients with operable lung cancer to the tumor histology. In total, 129 consecutive patients with non-small-cell lung cancer (NSCLC) undergoing anatomical lung resections were included. Preoperative LN staging was evaluated in the relationship to the histology of the resected specimens (group 1: lung adenocarcinoma/LUAD; group 2: squamous cell carcinoma/SQCA). Statistical analysis was performed by the Mann–Whitney U-test, the chi2 test, and binary logistic regression analysis. To establish an easy-to-use algorithm for the identification of LN false positivity, a decision tree including clinically meaningful parameters was generated. In total, 77 (59.7%) and 52 (40.3%) patients were included in the LUAD and SQCA groups, respectively. SQCA histology, non-G1 tumors, and tumor SUVmax > 12.65 were identified as independent predictors of LN false positivity in the preoperative staging. The corresponding ORs and their 95% CIs were 3.35 [1.10–10.22], p = 0.0339; 4.60 [1.06–19.94], p = 0.0412; and 2.76 [1.01–7.55], and p = 0.0483. The preoperative identification of false-positive LNs is an important aspect of the treatment regimen for patients with operable lung cancer; thus, these preliminary findings should be further evaluated in larger patient cohorts.


  • Open Access

    Preoperative Hilar and Mediastinal Lymph Node Staging in Patients with Suspected or Diagnosed Lung Cancer: Accuracy of 18F-FDG-PET/CT:A Retrospective Cohort Study of 138 Patients

    by Fuad Damirov, Karen Büsing, Gökce Yavuz, Rudolf Hatz, Farkhad Manapov, Julia Michels, Peter Hohenberger, Eric Roessner

    The aim of this study was to evaluate the diagnostic accuracy of integrated 18F-fluorodeoxyglucose positron emission computed tomography (18F-FDG-PET/CT) in hilar and mediastinal lymph node (HMLN) staging of suspected or proven lung cancer, and to investigate potential risk factors for false negative and false positive HMLN metastases. We retrospectively analyzed 162 consecutive patients with suspected or pathologically proven non-small cell lung cancer (NSCLC). The receiver operating characteristic (ROC) curve was generated to determine the diagnostic efficacy of 18F-FDG-PET/CT. Univariate and multivariate analyses were conducted to detect risk factors of false positives and false negatives. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of integrated 18F-FDG-PET/CT in detecting HMLN metastases were 59.1% (26/44), 69.1% (65/94), 47.3% (26/55), 78.3% (65/83), and 65.9% (91/138), respectively. The ROC curve showed an area under the curve (AUC) of 0.625 (95%-CI 0.468–0.782). The incidence of false negative and false positive HMLN metastases was 21.7% (18/83) and 52.7% (29/55), respectively. Our data shows that integrated 18F-FDG-PET/CT staging provides lower specificity and sensitivity. This confirms the ESTS guideline on lymph node staging for PET-positive HMLN. Yet it advocates more invasive staging even for PET-negative HMLN.


  • Antibiotic therapy for acute uncomplicated appendicitis: a systematic review and meta-analysis

    by Daniela Prechal, Fuad Damirov, Maurizio Grilli, Ulrich Ronellenfitsch

    Appendectomy has been the gold standard for every form of appendicitis. In recent years, though, it has repeatedly been claimed that for acute uncomplicated appendicitis, antibiotic therapy can be an equivalent treatment. The aim of this meta-analysis was to determine if antibiotic therapy is a safe and effective alternative to appendectomy for acute uncomplicated appendicitis.