Fuad Damirov

Dr. Fuad Damirov

Ludwig-Maximilians-Universität München, Munich, Bavaria, Germany
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orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 April 2019 in International Journal of Colorectal Disease
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Journal Article
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DPDaniela Prechal
Daniela Prechal
FDFuad Damirov
Fuad Damirov
MGMaurizio Grilli
Maurizio Grilli
Ulrich RonellenfitschUlrich Ronellenfitsch
Ulrich Ronellenfitsch

22 January 2023 in Diagnostics
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Journal Article
Open access
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FDFuad Damirov
Fuad Damirov
KBKaren Büsing
Karen Büsing
GYGökce Yavuz
Gökce Yavuz
RHRudolf Hatz
Rudolf Hatz
Farkhad ManapovFarkhad Manapov
Farkhad Manapov
EREric Roessner
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.

29 May 2023 in Diagnostics
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Journal Article
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FDFuad Damirov
Fuad Damirov
MSMircea Gabriel Stoleriu
Mircea Gabriel Stoleriu
Farkhad ManapovFarkhad Manapov
Farkhad Manapov
KBKaren Büsing
Karen Büsing
JMJulia Dorothea Michels
Julia Dorothea Michels
EREric Roessner
Eric 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.

1 May 2026 in Thoracic Cancer
Verified
Journal Article
Open access
FDFuad Damirov
Fuad Damirov
JKJavad Karimbayli
Javad Karimbayli
JKJunli Ke
Junli Ke
MSMircea Gabriel Stoleriu
Mircea Gabriel Stoleriu
UAUghur Aghamaliyev
Ughur Aghamaliyev
GPGerhard Preissler
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.

15 July 2024 in Preprints.org
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Preprint
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FDFuad Damirov
Fuad Damirov
MSMircea Gabriel Stoleriu
Mircea Gabriel Stoleriu
Farkhad ManapovFarkhad Manapov
Farkhad Manapov
EBEnole Boedeker
Enole Boedeker
SDSascha Dreher
Sascha Dreher
GPGerhard Preissler
Gerhard Preissler
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.

20 August 2024 in Cancers
Verified
Journal Article
Open access
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FDFuad Damirov
Fuad Damirov
MSMircea Gabriel Stoleriu
Mircea Gabriel Stoleriu
Farkhad ManapovFarkhad Manapov
Farkhad Manapov
EBEnole Boedeker
Enole Boedeker
SDSascha Dreher
Sascha Dreher
GPGerhard Preissler
Gerhard Preissler
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.