scholarly journals Interstitial ectopic pregnancy diagnosis by three-dimensional ultrasound and its laparoscopic management: A case report

Author(s):  
Firoozeh Ahmadi ◽  
Fattaneh Pahlavan ◽  
Fariba Ramezanali ◽  
Farnaz Akhbari

Background: Interstitial Ectopic Pregnancy (IEP) is an uncommon type of ectopic pregnancy with the risk of rupturing and bleeding. The incidence of IEP is about 2-4% of all EPs. The diagnosis and management are challenging. We present a well-timed and managed case of IEP. Case: The case was a 37-yr-old woman presented at the Royan Institute with a chief complain of sudden onset of pelvic pain and moderate vaginal bleeding, three weeks after her positive pregnancy test. She had got pregnant with in-vitro fertilization procedure. She was admitted for a two-dimensional ultrasound (2DUS). The 2DUS findings showed a gestational sac with live embryo and yolk sac which was located high in the fundus and eccentric to the endometrium. The suspicion of IEP rose after the 2DUS findings, the confirmation of further diagnosis was then done by three-dimensional ultrasound, and the treatment was done by laparoscopy. The patient underwent laparoscopic left corneal resection. She was discharged after two days and her β-hCG achieved complete resolution (< 5 mIU/mL) after two weeks’ follow-up. Conclusion: According to the life-threatening complications that are associated with IEP, acquaintance and suspicion about IEP is important. Specified information that obtained by three-dimensional ultrasound could be useful for exact locating and detection. Key words: Pregnancy, Ectopic, Diagnostic, Ultrasound, Laparoscopic assisted surgery.

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yan Li ◽  
Jiaxuan Geng ◽  
Qiaohua He ◽  
Jin Lu ◽  
Jin Xu ◽  
...  

Abstract Background Abdominal ectopic pregnancy (AEP) is a rare form of ectopic pregnancy. As the number of in-vitro fertilization (IVF) procedures continues to increase, the incidence of AEP will also rise. However, the rarity and atypical presentation of AEP make early diagnosis challenging. Case presentation Herein, we report an AEP following frozen-thawed embryo transfer (FET) in an artificial cycle. The patient was misdiagnosed with implantation failure when the serum human chorionic gonadotropin (hCG) level was detected as 2.59mIU/ml at fourteenth day after embryo transfer. Therefore, she was suggested to stop luteal phase support. However, a ruptured AEP was developed 33 days following embryo transfer, which was diagnosed by laparoscopic surgery. Conclusions The case highlighted the delayed serum β-hCG and massive intraperitoneal hemorrhage may be clues to make early diagnosis of AEP. Clinicians must attach great importance to close monitoring and bear in mind the possibility of abdominal pregnancy.


Author(s):  
Ferruh Acet ◽  
Ege Nazan Tavmergen Goker ◽  
Ismet Hortu ◽  
Gulnaz Sahin ◽  
Erol Tavmergen

AbstractBilateral tubal ectopic pregnancy is a very rare form of ectopic pregnancy. The incidence is higher in women undergoing assisted reproductive techniques or ovulation induction. We report the case of bilateral tubal ectopic pregnancy. The patient was 30 years old and had a 3-year history of infertility; she was referred to the in-vitro fertilization (IVF) program because of tubal factor infertility. A pregnancy resulted from the transfer of two embryos during an artificial cycle. Despite the increase in β-hCG values during the follow-up, 22 days after the embryo transfer, the β-hCG levels were 2,408 U/L and the serum progesterone (P4) level was 10.53 ng/ml. After application with methotrexate, β-hCG levels did not decrease effectively. Moreover, the sonographic screening revealed a suspicious bilateral tubal focus for ectopic pregnancy. A mini-laparotomy was performed and a bilateral tubal pregnancy was found. In the case of unilateral tubal pregnancy after the transfer of two embryos, the situation of the other tube should be systematically checked and β-hCG levels should be monitored.


Author(s):  
Jin Peng ◽  
Shangge lv ◽  
Lin Liu ◽  
Shuai Feng ◽  
Naidong Xing

Abstract Purpose The present systematic review aimed to examine the relationship between lung neoplasm and human chorionic gonadotropin (HCG). Especially, women with lung neoplasm mimicking as ectopic pregnancy were explored. Methods A rare case of lung neoplasm with high serum β-HCG, which was initially thought to be ectopic pregnancy, was reported. A literature search was performed of the US National Library of Medicine (MEDLINE), EMBASE, PubMed, and the Cochrane Database of Systematic Reviews using appropriate keywords and subject headings to February 2020. Results Studies assessed lung neoplasm patients with positive HCG were included. Twenty studies, including 24 patients, were included. These cases illustrate the importance of considering the possibility of paraneoplastic secretion of β-HCG in patients who have a positive pregnancy test. This may prevent a delay in the diagnosis and treatment of malignancy in young women. Of the 24 cases, only 7 (29.17%) were managed surgically; others were managed conservatively or with chemotherapy or radiation. Conclusion The present systematic review shows the need to re-awaken awareness and high index of suspicion to lung neoplasm diagnosis in patients with positive pregnancy test.


2008 ◽  
Vol 90 (5) ◽  
pp. 2003.e17-2003.e20 ◽  
Author(s):  
Eniko Berkes ◽  
Gyorgy Szendei ◽  
Laszlo Csabay ◽  
Zsuzsanna Sipos ◽  
Jozsef Gabor Joo ◽  
...  

2021 ◽  
Author(s):  
Itay Erlich ◽  
Assaf Ben-Meir ◽  
Iris Har-Vardi ◽  
James A Grifo ◽  
Assaf Zaritsky

Automated live embryo imaging has transformed in-vitro fertilization (IVF) into a data-intensive field. Unlike clinicians who rank embryos from the same IVF cycle cohort based on the embryos visual quality and determine how many embryos to transfer based on clinical factors, machine learning solutions usually combine these steps by optimizing for implantation prediction and using the same model for ranking the embryos within a cohort. Here we establish that this strategy can lead to sub-optimal selection of embryos. We reveal that despite enhancing implantation prediction, inclusion of clinical properties hampers ranking. Moreover, we find that ambiguous labels of failed implantations, due to either low quality embryos or poor clinical factors, confound both the optimal ranking and even implantation prediction. To overcome these limitations, we propose conceptual and practical steps to enhance machine-learning driven IVF solutions. These consist of separating the optimizing of implantation from ranking by focusing on visual properties for ranking, and reducing label ambiguity.


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