IOAKEIM SAPANTZOGLOU

Dr. IOAKEIM SAPANTZOGLOU

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Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

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

Representative Publications

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15 June 2023 in Diagnostics
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Journal Article
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AKAntonios Koutras
Antonios Koutras
PPParaskevas Perros
Paraskevas Perros
IPIoannis Prokopakis
Ioannis Prokopakis
TNTHOMAS NTOUNIS
THOMAS NTOUNIS
ZFZacharias Fasoulakis
Zacharias Fasoulakis
EKEmmanuel Kontomanolis
Emmanuel Kontomanolis
Ovarian cancer (OC) is the seventh most common malignancy diagnosed among women, the eighth leading cause of cancer mortality globally, and the most common cause of death among all gynecological cancers. Even though recent advances in technology have allowed for more accurate radiological and laboratory diagnostic tests, approximately 60% of OC cases are diagnosed at an advanced stage. Given the high mortality rate of advanced stages of OC, early diagnosis remains the main prognostic factor. Our aim is to focus on the sonographic challenges in ovarian cancer screening and to highlight the importance of sonographic evaluation, the crucial role of the operator΄s experience, possible limitations in visibility, emphasizing the importance and the necessity of quality assurance protocols that health workers have to follow and finally increasing the positive predictive value. We also analyzed how ultrasound can be combined with biomarkers (ex. CA-125) so as to increase the sensitivity of early-stage OC detection or, in addition to the gold standard examination, the CT (Computed tomography) scan in OC follow–up. Improvements in the performance and consistency of ultrasound screening could reduce the need for repeated examinations and, mainly, ensure diagnostic accuracy. Finally, we refer to new very promising techniques such as liquid biopsies. Future attempts in order to improve screening should focus on the identification of features that are unique to OC and that are present in early-stage tumors.

13 June 2025 in Biomedicines
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Journal Article
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Dimitrios PapageorgiouDimitrios Papageorgiou
Dimitrios Papageorgiou
ISIOAKEIM SAPANTZOGLOU
IOAKEIM SAPANTZOGLOU
IPIoannis Prokopakis
Ioannis Prokopakis
EZEleftherios Zachariou
Eleftherios Zachariou
The most frequent form of ectopic pregnancy, known as tubal pregnancy, leads to a dangerous situation where the fertilized ovum implants inside a fallopian tube, which can result in tubal rupture and severe bleeding. The purpose of this narrative review is to evaluate all existing data regarding epidemiology, risk factors, pathophysiology, clinical presentation, diagnosis, and management of tubal ectopic pregnancy in order to provide a comprehensive understanding of this common yet difficult clinical condition. Prior ectopic pregnancy, together with tubal pathology and assisted reproduction, represent the main risk factors for this condition. The diagnosis relies on serial β-hCG tests combined with transvaginal ultrasonography, but laparoscopy serves as the diagnostic tool for cases with uncertain results. The treatment plan depends on the fallopian tube integrity, along with the patient’s hemodynamic condition. Patients with unruptured pregnancies who are hemodynamically stable receive methotrexate treatment as the preferred option, but surgical intervention with salpingectomy or salpingostomy becomes necessary in case of tubal rupture or when medical treatment fails. The development of laparoscopic procedures has led to better results and improved possibilities for fertility preservation. The psychological effects on patients require both counseling and follow-up care. Early detection, along with personalized management, helps decrease maternal complications and optimize reproductive outcomes.

22 June 2025 in Biomedicines
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Dimitrios PapageorgiouDimitrios Papageorgiou
Dimitrios Papageorgiou
Galateia LioutaGalateia Liouta
Galateia Liouta
EPEvangelia Pliakou
Evangelia Pliakou
EZEleftherios Zachariou
Eleftherios Zachariou
ISIOAKEIM SAPANTZOGLOU
IOAKEIM SAPANTZOGLOU
EKEmmanuel Kontomanolis
Emmanuel Kontomanolis
Ovarian cancer is the most lethal gynecologic malignancy, which causes 313,959 new cases and 207,252 deaths worldwide annually. The lack of specific symptoms, together with no effective screening tools, results in 75% of patients receiving their diagnosis at an advanced stage. The combination of cytoreductive surgery with platinum-based chemotherapy plays a pivotal role in the treatment of advanced epithelial ovarian cancer, but patients still experience poor long-term survival because of frequent relapses and chemotherapy resistance. The treatment landscape has evolved because bevacizumab and Poly-ADP Ribose Polymerase inhibitors now serve as frontline and maintenance therapies for homologous recombination-deficient tumors. Treatment decisions for recurrent disease depend on platinum sensitivity assessment, which determines the appropriate therapeutic approach, while targeted agents deliver significant benefits to specific patient groups. The development of antibody-drug conjugates such as mirvetuximab soravtansine and immunotherapy, including checkpoint inhibitors and cancer vaccines, demonstrates promising investigative potential. The precision of therapy improves through the use of emerging biomarkers and molecular profiling techniques. The future management of this disease may change because of innovative approaches that include adoptive cell therapy, cytokine therapy, and oncolytic viruses. The progress made in ovarian cancer treatment still faces challenges when it comes to drug resistance, survival improvement, and life quality preservation. The development of translational research alongside clinical trials remains essential to bridge treatment gaps while creating personalized therapies based on molecular and clinical tumor characteristics.

Verified
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Charalampos VorosCharalampos Voros
Charalampos Voros
SSSofoklis Stavros
Sofoklis Stavros
ISIOAKEIM SAPANTZOGLOU
IOAKEIM SAPANTZOGLOU
DMDespoina Mavrogianni
Despoina Mavrogianni
MDMaria Anastasia Daskalaki
Maria Anastasia Daskalaki
George DaskalakisGeorge Daskalakis
George Daskalakis
Background: Mitochondria are essential for placental function as they regulate energy metabolism, oxidative balance, and apoptotic signaling. Increasing evidence suggests that placental mitochondrial dysfunction may play a role in the development of many poor perinatal outcomes, including preeclampsia, intrauterine growth restriction (IUGR), premature birth, and stillbirth. Nonetheless, no systematic review has thoroughly investigated this connection across human research. This study aims to consolidate evidence from human research concerning the link between placental mitochondrial dysfunction and negative birth outcomes. Methods: A systematic search of PubMed, Scopus, and Web of Science identified human research examining placental mitochondrial features (e.g., mtDNA copy number, ATP production, oxidative stress indicators) in connection with adverse pregnancy outcomes. Methodological variety resulted in narrative data extraction and synthesis. Results: Twenty-nine studies met the inclusion criteria. Mitochondrial dysfunction was consistently associated with PE, IUGR, FGR, and PTB. The most often observed outcomes included diminished mtDNA copy number, decreased ATP production, elevated reactive oxygen species (ROS), and disrupted mitochondrial dynamics, characterized by increased DRP1 and decreased MFN2. Early-onset preeclampsia and symmetric fetal growth restriction exhibited particularly severe mitochondrial abnormalities, indicating a primary placental origin of the condition. Conclusions: A significant factor contributing to adverse pregnancy outcomes is the dysfunction of placental mitochondria. The analogous molecular signatures across many disorders suggest promising avenues for developing targeted therapies aimed at improving maternal–fetal health and predictive biomarkers.

Verified
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MGMaria Giourga
Maria Giourga
IPIoannis Petropoulos
Ioannis Petropoulos
SSSofoklis Stavros
Sofoklis Stavros
Anastasios PotirisAnastasios Potiris
Anastasios Potiris
AGAngeliki Gerede
Angeliki Gerede
EDEkaterini Domali
Ekaterini Domali
Background/Objectives: This study aims to create a strong binary classifier and evaluate the performance of pre-trained convolutional neural networks (CNNs) to effectively distinguish between benign and malignant ovarian tumors from still ultrasound images. Methods: The dataset consisted of 3510 ultrasound images from 585 women with ovarian tumors, 390 benign and 195 malignant, that were classified by experts and verified by histopathology. A 20% to80% split for training and validation was applied within a k-fold cross-validation framework, ensuring comprehensive utilization of the dataset. The final classifier was an aggregate of three pre-trained CNNs (VGG16, ResNet50, and InceptionNet), with experimentation focusing on the aggregation weights and decision threshold probability for the classification of each mass. Results: The aggregate model outperformed all individual models, achieving an average sensitivity of 96.5% and specificity of 88.1% compared to the subjective assessment’s (SA) 95.9% sensitivity and 93.9% specificity. All the above results were calculated at a decision threshold probability of 0.2. Notably, misclassifications made by the model were similar to those made by SA. Conclusions: CNNs and AI-assisted image analysis can enhance the diagnosis and aid ultrasonographers with less experience by minimizing errors. Further research is needed to fine-tune CNNs and validate their performance in diverse clinical settings, potentially leading to even higher sensitivity and overall accuracy.

30 June 2023 in Medicina
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Journal Article
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ISIOAKEIM SAPANTZOGLOU
IOAKEIM SAPANTZOGLOU
ARAngeliki Rouvalis
Angeliki Rouvalis
AKAntonios Koutras
Antonios Koutras
MCMaria Ioanna Chatziioannou
Maria Ioanna Chatziioannou
IPIoannis Prokopakis
Ioannis Prokopakis
KPKALLIOPI PAPPA
KALLIOPI PAPPA
Twin pregnancies demonstrate a 2–3-fold higher chance of developing PE compared to singletons, and recent evidence has demonstrated that the sFLT1/PIGF ratio is strongly associated with PE, adverse pregnancy outcomes, as well as imminent deliveries due to PE complications. The primary objective of this systematic review was to summarise the available data on the levels of sFLT1, PlGF and their ratios in twin pregnancies and to investigate their association with the development of PE, adverse pregnancy outcomes and the timing of the delivery. A systematic search of Ovid Embase, Web of Science, Science Direct, PubMed, Ovid Medline, Google Scholar and CINAHL was carried out. sFLT1 levels and the sFLT1/PIGF ratio appeared higher in twins compared to singleton pregnancies, especially in the third trimester, while PlGF levels appeared higher up until the third trimester, with their values showing no difference or being even lower than in singletons thereafter. The sFLT1/PIGF ratio has been reported to be an independent marker of adverse outcomes related to pre-eclampsia and is associated with the mean time until delivery in an inverse manner. Further research is required in order to establish the optimal sFLT1/PIGF cut-off values and to stratify the risk of adverse outcomes in twin pregnancies.