Hysteroscopy: Past, Present and Future

Tarneja, P; Duggal, BS

doi:10.1016/s0377-1237(02)80079-x

Cited by 14 publications

(8 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…8,4 Endometrial polyp and submucous fibroid was observed in 4.9% and 7.40% cases respectively in our study while in studies of Jyotsana et al, Sheetal et al, Dasgupta et al, and Reethu et al it was 20.3% and 17%, 9% and 11%, 12.4% and 18.1% and 8% and 10% respectively. 5,8,6,2 One important finding in our study was carcinoma endometrium which was suspected in 3.08% of cases on hysteroscopy and was confirmed in 1.85% cases on histopthology. It was close to that observed in study by Jyotsana et al and Sheetal G et al i.e.…”

Section: Discussionsupporting

confidence: 59%

Role of hysteroscopy in management of abnormal uterine bleeding in perimenopausal women

Kaur

Agarwal

2016

Int J Reprod Contracept Obstet Gynecol

View full text Add to dashboard Cite

Section: Discussionsupporting

confidence: 59%

Role of hysteroscopy in management of abnormal uterine bleeding in perimenopausal women

Kaur

Agarwal

2016

Int J Reprod Contracept Obstet Gynecol

View full text Add to dashboard Cite

“…Having an in vivo inner view of the uterus could be achieved by Pantaleoni for the first time [1]. Following the development of a video computer chip in 1986, projection of images onto television screens could be carried out, so more and more endoscopic operations were performed including hysteroscopies and laparoscopies instead of open surgery and laparotomy [2].…”

Section: Introductionmentioning

confidence: 99%

Digital Image Analysis with Fully Connected Convolutional Neural Network to Facilitate Hysteroscopic Fibroid Resection

Török

Harangi

2018

Gynecol Obstet Invest

View full text Add to dashboard Cite

Aims: The study aimed to determine the accuracy of deep neural network in identifying the plane between myoma and normal myometrium. Methods: On the images of surgery, different structures were signed and annotated for the training phase. After the appropriate training of the deep neural network with 4,688 images from that training set, 1,600 formerly unseen images were used for testing. Indication for surgery was heavy menstrual bleeding and hysteroscopic finding was submucous fibroid. Operative intervention was fibroid resection. Recorded videos of transcervical resection of myoma in 13 cases were used for the study. Different filters and procedures were applied by the fully convolutional neural network (FCNN) for identifying previously annotated structures. Results: Previously manually annotated images and the manually drawn bitmasks were used for training the applied FCNN and then this pre-trained network was used for automatic segmentation of normal myometrium in an unseen video frame. The segmentation pixel-wise accuracy achieved the 86.19% considering the Hausdorff metric. Conclusion: Using deep learning technique in analyzing process of endoscopic video frame could help in real-time identification of structures while performing endoscopic surgery.

show abstract

“…It can accurately detect endometrial hyperplasia and aids in the early diagnosis of endometrial carcinoma, uterine polyps and submucosal myoma. 7,8 It is recommended to further evaluate the endometrium in women with abnormal bleeding when the endometrial echo is normal on TVS. 9 This study has been taken up to analyse the place of hysteroscopy and TVS in the evaluation of abnormal uterine bleeding and to corelate hysteroscopic with that of TVS findings which help in provisional/final diagnosis.…”

mentioning

confidence: 99%

A comparative study of hysteroscopy and transvaginal ultrasonography in diagnosis of endometrial pathology in abnormal uterine bleeding

Swathi¹,

Nataraja

Shetty

2020

Int J Reprod Contracept Obstet Gynecol

View full text Add to dashboard Cite

Background: Abnormal uterine bleeding is the most common complaint in gynaecology and an important source of morbidity. The ideal diagnostic tool to determine the cause for the same continues to be debated. Objective of this study was to compare accuracy of hysteroscopy and transvaginal sonography in diagnosis of endometrial pathology in abnormal uterine bleeding.Methods: A total 100 women attending gynaecological outpatient in hospital attached to J. J. M. Medical College, Davangere with abnormal uterine bleeding fitting into the inclusion criteria during November 2014 to August 2016, were admitted and evaluated with Transvaginal sonography (TVS) and hysteroscopy. Data was collected and analysed.Results: Among 100 patients of AUB in this study, majority of the patients were in perimenopausal age group. Menorrhagia is the most common presentation (45%) followed by postmenopausal bleeding (20%). Anaemia was detected in 79% of patients. Hysteroscopy was taken as gold standard and TVS findings were compared. The sensitivity of TVS in detecting polyps, submucous fibroid were 22.2%, 11% respectively and for the normal variants like proliferative and secretory it was 50% and 79.2% respectively. TVS showed good correlation with hysteroscope findings for normal variants of endometrium, but poor correlation for intracavitary pathologies.Conclusions: Hysteroscopy is a rapid, safe, well tolerated and highly accurate means of diagnosing the cause of abnormal uterine bleeding in perimenopausal age group. Thus, it is advised as a first line investigation in evaluation of AUB.

show abstract

Hysteroscopy: Past, Present and Future

Cited by 14 publications

References 8 publications

Role of hysteroscopy in management of abnormal uterine bleeding in perimenopausal women

Role of hysteroscopy in management of abnormal uterine bleeding in perimenopausal women

Digital Image Analysis with Fully Connected Convolutional Neural Network to Facilitate Hysteroscopic Fibroid Resection

A comparative study of hysteroscopy and transvaginal ultrasonography in diagnosis of endometrial pathology in abnormal uterine bleeding

Contact Info

Product

Resources

About