Retrospective Study Open Access
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Aug 6, 2024; 12(22): 4932-4939
Published online Aug 6, 2024. doi: 10.12998/wjcc.v12.i22.4932
Ovarian-adnexal reporting and data system ultrasound evaluation and pathological characteristics of ovarian collision tumor
Chan Yin, Department of Ultrasound, Hunan University of Arts and Sciences Affiliated Changde Maternal and Child Health Hospital, Changde 415000, Hunan Province, China
Yong Wang, Department of Ultrasound, People's Hospital of Shimen County, Changde 415300, Hunan Province, China
Zhi-Hui Fei, Department of Ultrasound Medicine, The Maternal and Child Health Hospital of Changde, Changde 415000, Hunan Province, China
Li-Hong Sun, Department of Psychology, The Maternal and Child Health Hospital of Changde, Changde 415000, Hunan Province, China
Wei-Ai Zhou, Department of Gynaecology, Hunan University of Arts and Sciences Affiliated Changde Maternal and Child Health Hospital, Changde 415000, Hunan Province, China
Heng Li, Department of Ultrasound, The First People's Hospital of Changde, Changde 415000, Hunan Province, China
ORCID number: Wei-Ai Zhou (0009-0000-2680-6625); Heng Li (0009-0007-5399-7683).
Co-first authors: Chan Yin and Yong Wang.
Co-corresponding authors: Wei-Ai Zhou and Heng Li.
Author contributions: Yin C contributed data analysis and manuscript writing; Wang Y contributed data management, manuscript writing; Fei ZH contributed data collection and manuscript editing; Zhou WA contributed project development and management; Li H contributed data collection and manuscript writing; All the author has read and approved the manuscript.
Supported by Hunan Provincial Natural Science Foundation Regional Joint Fund, No. 2023JJ50050.
Institutional review board statement: This study was approved by the Ethics Committee of the Maternal and Child Health Hospital of Changde City. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent statement: Written informed consent was obtained from the pregnant woman or patient’s parent for their personal or clinical details along with identifying images to be published in this study.
Conflict-of-interest statement: The authors declare that they have no competing interests.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: Https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Wei-Ai Zhou, MD, Chief Doctor, Department of Gynaecology, Hunan University of Arts and Sciences Affiliated Changde Maternal and Child Health Hospital, No. 1058 Dongting Avenue, Changde 415000, Hunan Province, China. cdfycsk@163.com
Received: March 14, 2024
Revised: June 5, 2024
Accepted: June 17, 2024
Published online: August 6, 2024
Processing time: 110 Days and 6.5 Hours

Abstract
BACKGROUND

Collision tumor are neoplasms, including two histologically distinct tumors that coexist in the same mass without histological admixture. The incidence of collision tumor is low and is rare clinically.

AIM

To investigate ultrasound images and application of ovarian-adnexal reporting and data system (O-RADS) to evaluate the risk and pathological characteristics of ovarian collision tumor.

METHODS

This study retrospectively analyzed 17 cases of ovarian collision tumor diagnosed pathologically from January 2020 to December 2023. All clinical features, ultrasound images and histopathological features were collected and analyzed. The O-RADS score was used for classification. The O-RADS score was determined by two senior doctors in the gynecological ultrasound group. Lesions with O-RADS score of 1-3 were classified as benign tumors, and lesions with O-RADS score of 4 or 5 were classified as malignant tumors.

RESULTS

There were 17 collision tumors detected in 16 of 6274 patients who underwent gynecological surgery. The average age of 17 women with ovarian collision tumor was 36.7 years (range 20-68 years), in whom, one occurred bilaterally and the rest occurred unilaterally. The average tumor diameter was 10 cm, of which three were 2-5 cm, 11 were 5-10 cm, and three were > 10 cm. Five (29.4%) tumors with O-RADS score 3 were endometriotic cysts with fibroma/serous cystadenoma, and unilocular or multilocular cysts contained a small number of parenchymal components. Eleven (64.7%) tumors had an O-RADS score of 4, including two in category 4A, six in category 4B, and three in category 4C; all of which were multilocular cystic tumors with solid components or multiple papillary components. One (5.9%) tumor had an O-RADS score of 5. This case was a solid mass, and a small amount of pelvic effusion was detected under ultrasound. The pathology was high-grade serous cystic cancer combined with cystic mature teratoma. There were nine (52.9%) tumors with elevated serum carbohydrate antigen (CA)125 and two (11.8%) with elevated serum CA19-9. Histological and pathological results showed that epithelial-cell-derived tumors combined with other tumors were the most common, which was different from previous results.

CONCLUSION

The ultrasound images of ovarian collision tumor have certain specificity, but diagnosis by preoperative ultrasound is difficult. The combination of epithelial and mesenchymal cell tumors is one of the most common types of ovarian collision tumor. The O-RADS score of ovarian collision tumor is mostly ≥ 4, which can sensitively detect malignant tumors.

Key Words: Ovarian collision tumor, Ovarian-adnexal reporting and data system, Epithelial tumor, Serous cystadenoma, Ultrasound images

Core Tip: The ultrasound image characteristics of ovarian collision tumor have certain specificity, which can be divided into three types, but preoperative ultrasound is still difficult to make a clear diagnosis; The combination of epithelial cell tumor and mesenchymal cell tumor is the most common type of ovarian collision tumor; The o-rads system can sensitively detect malignant tumors when the o-rads score of ovarian collision tumors is mostly 4 or above.



INTRODUCTION

Collision tumors are neoplasms including two histologically distinct tumors that coexist in the same mass without histological admixture. The incidence of collision tumor is low and is rare clinically. Because there is no direct transition between the two tumor cells, they are viewed as separate primary neoplasms[1-3]. Ovarian collision tumors are not common, and lack specific ultrasound diagnostic features, which have mostly been reported previously in case reports. Retrospective studies with clear pathological diagnosis have found that ovarian collision tumors are mostly multilocular cystic tumors, which may contain parenchymal components, or papillary bulges, and their ultrasonic signs are different. This is a challenge for preoperative ultrasound diagnosis of ovarian collision tumors.

At present, there are three hypotheses about the pathogenesis of collision tumor. First, two tumors are accidentally concurrent, and two different types of tumors meet at the same site or the same organ by chance[4]. Second, the first tumor changes the microenvironment of surrounding tissues and then other different types of tumors occur[5,6]. Third, due to the heterogeneity of genetic phenotypes, clonal cells with homogeneous genetic genes will differentiate into two different histological types of tumor cells[7]. However, the mechanism of ovarian collision tumor is still unclear.

There have been few studies on ovarian-adnexal reporting and data system (O-RADS) ultrasound of ovarian collision tumor. O-RADS is a classification system proposed in recent years, which is applied to the management of ovarian lesions. It recommends six categories (O-RADS 0-5) that range from normal to high risk of malignancy. It comprehensively evaluates the risk of ovarian masses through accurate homogeneous classification management, and provides diagnosis and treatment guidance for clinicians. This study evaluated the malignant risk of ovarian expansive tumor using O-RADS, to determine the ultrasonic phenotypic characteristics of ovarian collision tumor combined with the histological pathology and clinical characteristics, so as to provide the basis for clinical diagnosis and treatment.

MATERIALS AND METHODS
Study design

This was a retrospective analysis of 17 ovarian collision tumors from 6274 female patients who underwent gynecological surgery in Changde region between January 2020 and December 2023. All clinical records, ultrasound images, biochemical examination and pathological findings were collected. The data collection was approved by Hunan Changde maternal and child health hospital and the ethics committee of Hunan University of Arts and Sciences (No. JSDX2022-00). Informed consent was waived. No private information from any patient was revealed.

The inclusion criteria were: (1) The coexistence of two histologically distinct tumors in one ovarian mass proven by histological findings; (2) Intact clinical, ultrasonography, and surgical records; and (3) An interval between ultrasonography and surgery of < 3 months.

All cases were examined by intravaginal ultrasound or vaginal ultrasound combined with abdominal ultrasound. The O-RADS risk classification was carried out according to the ultrasonic characteristics of the mass, including the shape and size, cystic and solid nature, internal structure, and vascularization. The O-RADS score and lexicon descriptors were determined by two senior doctors who were engaged in ovarian tumor ultrasonic imaging diagnosis for > 5 years. To improve the accuracy of O-RADS classification, we selected 200 cases of ovarian tumors and trained four doctors in the gynecological ultrasound group on the homogenization of O-RADS tumor classification to improve their experience.

We used the standard of O-RADS tumor scoring guidelines for gynecological oncology of the Chinese Medical Association: O-RADS score of 2, < 1% likelihood of malignancy; O-RADS score of 3, malignancy risk of 1%-10%; O-RADS score of 4, malignancy risk of 10%-50%; O-RADS score of 5, malignancy risk of > 50%. Lesions with O-RADS score of 1-3 were classified as benign tumors, and score of 4 or 5 were classified as malignant tumors.

Study equipment

PHILIPS7W, AFFINIT79, MINDRAY-I9, GE-E8, GE-E10. The probe frequency was 2-9 MHz, 1-6 MH. The examination method was mainly transvaginal ultrasound, combined with abdominal ultrasound.

Statistical analysis

This was a retrospective analysis of 17 ovarian collision tumors, and their ultrasound images, O-RADS score, and postoperative histology and pathology were analyzed.

RESULTS
General situation

We detected 17 collision tumors in 16 of 6274 patients who underwent gynecological surgery. The incidence was approximately 2.7%, which is lower than that in the study of Guo et al[1]. The details of 17 ovarian collision tumors are shown in Table 1.

Table 1 Ultrasound phenotype, ovarian-adnexal reporting and data system classification and pathology of 17 cases of ovarian collision tumor.
No.
Age (year)
O-RADS
Size (cm)
Biochemical indicators, CA125 (kU/L), CA19-9 normal
Site of occurrence
Operation
Preoperative ultrasound
Pathology
13235.4 × 5.5CA125: 31.5LeftLaparoscopeChocolate cyst; FibromaEndometriotic cyst with fibroma
22235.2 × 5.0CA125: 26.6LeftLaparoscopeChocolate cystEndometriotic cyst with serous cystadenoma
33235.4 × 4.3CA125: 29.5LeftLaparoscopeChocolate cystEndometriotic cyst with fibroma
43932.7 × 2.0CA125: 19.7LeftLaparoscopeChocolate cystMucinous cystadenoma with chocolate cyst
52232.8 × 2.4CA125: 17.3LeftLaparoscopeSerous cystadenomaEndometriotic cyst with serous cystadenoma
6274a22.1 × 18.0-RightLaparoscopeSerous cystadenomaSerous cystadenoma with fibroma
7274a19.2 × 14.6-RightLaparoscopeSerous cystadenomaSerous cystadenoma with cystic fibroma
8224b37.1 × 30.6CA125: 33.6LeftLaparoscopeCystadenomaMucinous cystadenoma with chocolate cyst
9204b6.4 × 4.9CA125: 47.8RightLaparoscopeTeratomaSerous cystadenoma with goiter
10604b12.0 × 9.5CA125: 42LeftLaparoscopeSerous cystadenomaSerous cystadenoma with ovarian goiter
11464b7.4 × 7.3CA125: 38.8RightLaparoscopeCystadenomaMucinous cystadenoma with teratoma
12274b3.2 × 2.0CA125: 65.6RightLaparoscopeTeratomaSerous cystadenoma with fibroma
13424b7.4 × 4.9CA125: 119RightLaparoscopeSerous cystadenomaSerous cystadenoma with fibroma
14584c8.5 × 4.0CA125: 147.2RightLaparotomyCystadenomaBorderline mucinous cystadenoma with epidermoid cyst
15434c9.0 × 8.0CA125: 156.1; CA19-9: 442.3Bilateral (left)LaparotomySerous cystadenomaSerous cystadenoma with fibroma; Focal junctional
16434c8.0 × 7.0CA125: 156.1; CA19-9: 442.3Bilateral (right)LaparotomySerous cystadenomaSerous cystadenoma with fibroma; Focal junctional
176856.2 × 4.1CA125: 275; CA19-9: 523.5RightLaparotomyOvarian carcinomaHigh-grade serous carcinoma with cystic mature teratoma
Clinical features and serological test results

There were 17 collision tumors detected in 16 of 6274 patients, with one occurring on both sides, 15 occurring on one side, seven on the left and eight on the right. The average age of the 16 patients with ovarian collision tumors was 36.7 years (range: 20-68 years). For seven patients (43.8%), the lesion was found during physical examination, and these patients did not present with significant symptoms. Two patients (12.5%) had prolonged menstruation. Two patients (12.5%) had pain in the groin area and distension in the lower abdomen. Four patients (25.0%) had increased abdominal circumference, and one (6.2%) had vaginal bleeding. Serological test results showed that nine patients (56.3%) had elevated serum CA125, which was classified as O-RADS score ≥ 4, and two patients (12.5%) had elevated serum CA19-9, including one with as O-RADS 4 and one with O-RADS 5.

Surgery and pathology

For surgical management, 13 (81.3%) patients underwent laparoscopic ovarian tumor dissection, two (12.5%) underwent open ovariectomy (one of which was a bilateral collision tumor), and one (6.2%) underwent radical surgery for ovarian carcinoma.

There were 15 epithelial-cell-derived combined with germ-cell- or mesenchymal-cell-derived tumors among the 17 ovarian collision tumors. Ten had combination of serous cystadenoma and (cystic) fibroma/mature cystic teratoma/ovarian goiter/chocolate cyst; four had mucinous cystadenoma combined with teratoma/epidermoid cyst; one had high-grade serous cystadenocarcinoma combined with cystic mature teratoma with cancer tissue invasion; and two had endometriotic cysts combined with fibroma. There were one patient with bilateral tumor and one with unilateral tumor as borderline or focal borderline collision tumor. Exophytic "cauliflower" was seen in the left tumor in patients with bilateral tumors (Figure 1). The histological and pathological results suggested that both sides were ovarian cystadenoma with fibroma. The pathological manifestations of ovarian cysts were serous epithelium, papillary processes on the inner wall, and fibrous stromal components. Tumor cells in some areas proliferated actively, and had focal borderline changes.

Figure 1
Figure 1 Ultrasound images and surgical images of borderline or focal borderline ovarian collision tumors. A: Bilateral ovarian collision tumor, serous cystadenoma with fibroma, vegetable pattern can be seen outside the left cyst wall (classified as type 3 ultrasound phenotype); B: Direct view of serous cystadenoma with fibroma surgery.
Ultrasonic imaging and O-RADS score

Five (29.4%) tumors had an O-RADS score of 3, and the maximum diameter was 4.1 cm. Two of them were endometriotic cysts combined with fibromas. The ultrasound phenotype was a combination of two types of tumors and the boundary was clear. They had the sonographic characteristics of chocolate cysts and fibromas, respectively (Figure 2A). We classified them as the first type of ultrasound phenotype: Two types of tumors combined into a tumor with clear boundaries, showing a "back-to-back" relationship[7]. Preoperative ultrasound suggested two independent masses and could not make a diagnosis. Two cases were chocolate cysts with serous cystadenoma, and one was chocolate cyst with mucinous cystadenoma. These three preoperative ultrasound images showed the characteristics of fine dot echo of chocolate cysts, showing several separations, suggesting chocolate cysts. Eleven (64.7%) tumors had O-RADS score of 4, and the maximum diameter was 12.7 cm. There were two in category 4A, six in 4B and three in 4C. The O-RADS score of 4 was multilocular cystic tumor. The higher the classification level of 4A-4C, the thicker and more uneven the ultrasound image separation, and the cyst wall was irregular or did not contain solid components. The higher the number and volume of nipple components, the higher the blood flow score.

Figure 2
Figure 2 Ultrasound image and surgical image of ovarian collision tumor. A: Endometriotic cyst with fibroma, consisting of two typical sonographic phenotypic features, collision tumor (classified as class 1 sonographic phenotype); B: The large cyst in the cyst is serous cystadenoma, and the small inner cyst is goiter (classified as type 2 ultrasound phenotype); C: Intraoperative findings of cyst sac: A 4-cm small cyst can be seen in the denuded large cyst; D: Gross specimen of cyst capsule, with serous cystadenoma cyst wall at the bottom and teratoma hair at the upper layer.

Collision tumors with an O-RADS score of 4 also showed two sonographic phenotypic characteristics: One of which we summarized as a type 2 sonographic phenotype: Tumor in capsule, large capsule with small capsule (Figure 2B). Its histological pathology was serous cystadenoma and goiter. The ultrasonic image showed that the lateral large cyst contained a liquid dark area with sparse dot like echo. The small cyst was located in the large cyst, and the internal structure was complex. It showed multiple round solid echoes with a clear boundary, smooth outline and different size. Multiple blood flow signals were seen on color Doppler flow imaging (CDFI). According to the surgical results, there was a 7-cm tumor in the right ovary. The capsule was about 2 cm thick and contained clear mucus. After the cyst wall was completely stripped, there was a small cystic mass of about 4 cm × 3 cm × 3 cm (Figure 2C). The interior of the small cyst contained yellow lipid and hair-like tissue (Figure 2D).

The other ultrasound phenotype in collision tumors with O-RADS score of 4 was classified as category 3. The two tumors fused to form a tumor without obvious demarcation. The ultrasound phenotype had typical features of one tumor, but the echo was more complex. Some features of another tumor were seen inside or on one side of the tumor (Figure 1A). It is difficult to diagnose this category of tumor with preoperative ultrasound. There was one (7.1%) tumor with the O-RADS score of 5, which was a malignant tumor. The ultrasound image comprised multiple hypoechoic solid structures of different sizes and irregular shapes. Each solid structure could be seen with a septum, a small amount of ascites could be detected, and CDFI showed abundant blood flow signals. There were five ultrasound phenotypic features in Category 1, 2 in Category 2, and 10 in Category 3 in 17 collision tumors of these 16 patients.

DISCUSSION

Ovaries are composed of epithelial, germ and mesenchymal cells, which can randomly form a variety of ovarian collision tumors; the most common of which is combination of epithelial and germ cell tumors, and the incidence of other types is low[6]. This study found that the combination of epithelial and mesenchymal cell tumors accounted for the highest proportion of ovarian collision tumors; serous cystadenoma combined with fibroma was the most common, followed by combination of epithelial and germ cell tumors. This is different from previous studies[1,6].

By studying the ultrasound image characteristics of 17 cases of collision tumor, we found that it can be summarized into three categories. The first category is that two tumors are combined rather than fused into a large tumor, and the boundaries of the two tumors are clear and have their own ultrasound imaging characteristics. The second type is the tumor in the capsule or the large capsule with small capsule. Both the outer large capsule and inner small capsule have their own ultrasonic imaging characteristics. The third category is a single mass, which has particular ultrasound imaging characteristics, but the image is more complex and cannot be summarized by a single ultrasound imaging feature.

The first type of ultrasound phenotype in this study is usually misdiagnosed as two separate tumors in daily life. In fact, the two tumors coexist in one organ (ovary), the edges are attached to each other, and there is no obvious tissue mixing[6]. The second type of ultrasound phenotype accounted for the smallest proportion. There were only two cases of collision tumors in 17 cases; one of which was a small capsule located in the center of the large capsule, and the small capsule was thickened. The other one was a small capsule located on one side of the large capsule, and the capsule was thin. Preoperative examination suggested that this type of tumor could not be clearly diagnosed. The third ultrasound phenotype accounted for the largest proportion, which indicates that the ultrasound imaging characteristics of ovarian collision tumors depend on the tumor composition of the collision tumors, and the composition proportion mode of the collision tumors. Therefore, ovarian collision tumors with the same histology and pathology can have significantly different ultrasound imaging characteristics. O-RADS can sensitively evaluate the benign and malignant of ovarian collision tumors, and provide accurate diagnostic imaging information.

The mechanism of ovarian collision tumor is still unclear, and there are few comprehensive studies on use of O-RADS for classification of ovarian collision tumor. Because of its nonspecific ultrasound images and clinical manifestations, and complex histopathological composition, the diagnosis rate of ovarian collision tumors is still low, even with preoperative needle biopsy, which is a major difficulty in preoperative diagnosis[7]. Based on the retrospective analysis of the pathological follow-up results, we found that the low incidence of ovarian collision tumor was the main reason for the difficulty with preoperative ultrasound diagnosis. It is also possible that our pathological diagnosis experts paid insufficient attention to rare ovarian collision tumors. By studying the ultrasound images and pathological characteristics of ovarian collision tumors in the past 3 years, we successfully diagnosed two cases of ovarian collision tumors by preoperative ultrasound, which were confirmed as cystadenoma and teratoma by histology and pathology.

The clinical symptoms of patients with ovarian collision tumor are different. Patients with tumor diameter > 5 cm have increased abdominal circumference, and lower abdominal or groin pain. There was one chocolate cyst with cystadenoma. The diameter of ovarian collision tumor was < 3 cm, and the clinical manifestations also included lower abdominal pain. One patient with malignant tumor with goiter had abnormal menstruation or bleeding, which was related to the size and pathology of the tumor.

CA125 is currently the most widely used biomarker for the diagnosis of epithelial ovarian cancer, and can also be used for disease severity monitoring[8]. The serum CA125 level in patients with ovarian collision tumor was significantly higher than the normal level, and CA199 increased in two cases; one of which was high-grade serous cystadenocarcinoma with cystic mature teratoma with cancer tissue invasion. Serum CA125 Level can reflect the progression of serous ovarian cancer, and can be used as an evaluation standard for tumor lesion grade, stage and lymph node metastasis.

The main limitation of this study was that ultrasound doctors and pathological diagnosis experts paid insufficient attention to rare ovarian collision tumors. It is also possible that the sample size was too small to analyze ovarian collision tumors comprehensively and objectively.

CONCLUSION

The ultrasound imaging characteristics of ovarian collision tumor have some specificity, which can be divided into three types, but it is still difficult to make a definitive diagnosis by preoperative ultrasound. The combination of epithelial and mesenchymal cell tumor is the most common type of ovarian collision tumor. O-RADS can sensitively detect malignant tumors when the score is ≥ 4.

ACKNOWLEDGEMENTS

We thank Professor Zhou QC from the Second Xiangya Hospital, Central South University for the guidance on this project, Dr. Li JC for providing clinical samples, Dr. Wang RS and Dr. Zhang WY from Hunan University of Arts and Sciences for proofreading the manuscript.

Footnotes

Provenance and peer review: Unsolicited article; Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Medicine, research and experimental

Country of origin: China

Peer-review report’s classification

Scientific Quality: Grade B

Novelty: Grade A

Creativity or Innovation: Grade B

Scientific Significance: Grade B

P-Reviewer: Stan FG S-Editor: Gao CC L-Editor: A P-Editor: Zhang L

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