Home Medicine Application of a diagnosis flow draft based on appearance impression for detection of vulvar disease
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Application of a diagnosis flow draft based on appearance impression for detection of vulvar disease

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Published/Copyright: December 26, 2023

Abstract

Objectives

The aims of this retrospective study were to evaluate the clinical applicability of the latest International Society for the Study of Vulvovaginal Disease (ISSVD) and International Federation for Cervical Pathology and Colposcopy (IFCPC) terminology for vulvar diseases, and to explore a new evaluation flow to optimize decision-making on diagnosis.

Methods

A total of 1,068 patients with 5,340 qualified vulvar images were evaluated by observers using 2011 ISSVD and 2011 IFCPC terminology systems. The sensitivity, specificity, positive predictive value, negative predictive value, Youden Index and Overall Diagnostic Value (ODV) were calculated for each finding in the two systems. Then the disease diagnosis order and a diagnosis flow draft (DFD) were obtained.

Results

A total of 15 kinds of vulvar diseases were diagnosed. The proportion of patients accompanied with cervical or vaginal intraepithelial neoplasia was highest (83.3 %) in vulvar Paget’s disease group (p<0.001). Total area of lesions was larger in vulvar Paget’s disease, lichen simplex chronicus and lichen sclerosus group (p<0.001). Among the top five findings of ODV, some findings inferred several (≥6) kinds of diseases, while some findings only exist in a certain disease. When the DFD was used, the agreement between the initial impression and histopathology diagnosis was 68.8 %, higher than those when ISSVD an IFCPC terminology systems used (p=0.028), and it didn’t change with the experience of the observer (p=0.178).

Conclusions

Based on the findings in ISSVD and IFCPC terminology systems, we explored a DFD for observers with different experience on the detection of vulvar disease.

Introduction

Vulvar disease represents an area of particular diagnostic difficulty for clinicians, since it lies at the cross-section of gynecology, dermatology, and women’s health, and the diagnosis of vulvar disease depends on the visual sense and experience of the observers [1]. Clinicians from multiple specialties, such as gynecologists, dermatologists, pathologists, physical therapists, psychologists, and sex therapists, cannot reach a consensus on the appropriate names or classification of vulvar dermatological disorders, which may be attributable to inflammatory dermatoses, infections, neoplasms, hormonal changes, neuropathies, psychologic comorbidities, or multifactor. In addition, despite serving as the primary provider for patients with vulvar disease, both gynecologists and dermatologists typically receive limited training on vulvar diseases, which is an underserved category and not commonly a focus within training programs [2].

To define and promulgate an international nomenclature for vulvar disease, the International Society for the Study of Vulvovaginal Disease (ISSVD) was founded in 1971 and revised vulvar disease terminology and classification system constantly on the basis of consensus among experts in multiple disciplines [3]. In 2006, the ISSVD Classification of Vulvar Dermatoses was formulated based on the most common histological patterns with standard dermatological terminology [4]. In 2011, the ISSVD published a new terminology and classification system to assist clinicians in different disciplines in formulating the description of a lesion and clustering diseases with similar clinical presentations into groups [5]. However, the terminology for colposcopic patterns of the vulva was not included in the 2011 ISSVD system. Many female patients with vulvar dermatological disorders are referred to colposcopy clinics for care, but reports of vulvar findings have been inconsistent due to the lack of colposcopic terminology for vulvar patterns [6, 7]. The International Federation for Cervical Pathology and Colposcopy (IFCPC), founded in 1972, provides standardized interpretations of colposcopic findings and organizes a comprehensive classification by revising the versions in 1975, 1990, and 2002 [8]. In 2011, the IFCPC presented vulvar (including anal) clinical and colposcopic terminology, which was based on the new ISSVD vulvar terminology and added other specific terminology for colposcopic examination at the 2011 World Congress in Rio de Janeiro [6]. However, owing to limited reports, clinical evaluation studies on the applicability of the latest 2011 ISSVD and 2011 IFCPC terminology for vulvar diseases are extremely scant. An operable and relatively simplified diagnostic approach, which can combine the characteristics of the two terminology systems, is required [9].

In this study, we utilized the latest 2011 ISSVD and 2011 IFCPC terminology systems to describe the appearance impression of vulvar diseases and explored a diagnosis flow draft (DFD) based on the two systems. Finally, we evaluated the clinical application of the diagnosis flow draft and provided a new idea for the diagnosis of vulvar diseases before invasive detection.

Materials and methods

Study design and population

In this retrospective study, from January 2020 to December 2022, the population of patients with clinically suspected vulvar disease who underwent colposcopy-guided punch biopsy of the vulva at the Obstetrics and Gynaecology Hospital of Fudan University were enrolled, with a total of 2,724 patients. The exclusion criteria were as follows: (1) patients with unqualified vulvar images; (2) patients with undefined histopathological diagnosis; (3) patients with incomplete history records. Finally, a total of 1,068 patients with 5,340 qualified vulvar images and defined histopathological diagnosis were evaluated for the study. All patients signed informed consent forms before the study, and Institutional Review Board approval was obtained properly (2023–25).

In this study, the 5,340 qualified vulvar images were evaluated by observers using different terminology systems. The observers, who had qualifications in colposcopy and diagnosis of vulva diseases after training, were blinded to the vulvar histological diagnosis, and divided into five groups (Group A, B, C, D, E) based on work experience in colposcopy. All the data were documented in the hospital database.

Detection of vulvar disease using ISSVD terminology and classification system

Three observers (Group A) with more than 10 years of experience in colposcopy evaluated all the vulvar images in five steps, which were listed in the 2011 ISSVD terminology and classification [5]. Step 1. Lesions were defined by choosing one or more of the following nouns: blister, bulla (>0.5 cm), cyst, edema, erosion, excoriation, fissure, lesion, macule (<1.0 cm), nodule (>1.0 cm), papule (<1.0 cm), patch (>1.0 cm), plaque (>1.0 cm), pustule, rash, ulcer, vesicle (<0.5 cm), eczema, surface disruption, and lichenification. Step 2. Choose appropriate adjectives to modify the noun(s) previously chosen: color, surface, margination, and configuration. Step 3. Formulate a list of differential diagnoses. Step 4. Reduce the number of diagnoses in the list of differential diagnoses. Step 5. Confirm a clinical diagnosis. If there was disagreement among the observers, a consensus was reached through discussion. According to the 2013 Lower Anogenital Squamous Terminology, vulvar low-grade squamous intraepithelial lesion (LSIL) is the equivalent of vulvar intraepithelial neoplasia 1 (VIN 1), and vulvar high-grade squamous intraepithelial lesion (HSIL) includes VIN 2 and VIN 3 [3]. The terms LSIL and HSIL were used to describe human papillomavirus-associated squamous lesions of vulva in this study.

Detection of vulvar disease using IFCPC terminology system

Another three observers (Group B) with more than 10 years of experience in colposcopy evaluated all the vulvar images based on six sections, which were included in the 2011 IFCPC terminology system [6]. Section 1. Basic definitions: various anatomical structures and composition (squamous epithelium: hairy/non-hairy, mucosa). Section 2. Normal findings included micropapillomatosis, sebaceous glands (fordyce spots), and vestibular redness. Section 3. Abnormal findings including size in centimeters and location: macule (<1.5 cm), patch (>1.5 cm), papule (<1.5 cm), plaque (>1.5 cm), nodule (>1.5 cm), cyst, vesicle (<0.5 cm), bulla (>0.5 cm), pustule, lesion color, eczema, lichenification, excoriation, purpura, scarring, ulcer, erosion, fissure, wart. Section 4. Miscellaneous findings: trauma and malformation. Section 5. Suspicion of malignancy: gross neoplasm, ulceration, necrosis, bleeding, exophytic lesion, and hyperkeratosis with or without white, gray, red, or brown discoloration. Section 6. Abnormal colposcopic/other magnification findings: (thin or dense) acetowhite epithelium, (fine or coarse) punctuation, (fine or coarse) mosaic, atypical vessels, surface irregularities. Finally, the observers recorded the description of the vulvar appearance findings and made an initial impression through discussion.

Developing a DFD

Calculate the diagnostic and predictive parameters of each findings for the disease

The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and Youden Index (YI, sensitivity+specificity−1) were used to assess the accuracy and predictability of findings in the ISSVD and IFCPC systems, respectively. Some of the findings in the two systems overlap, some are different, and some have the same name but different definitions, such as the spot and papule (the diameters are different in the two systems). We also considered and analyzed some new features such as exudation, atrophy, thickening, and lesion texture (softness, medium hardness, hardness, and fragility), although they were not included in the ISSVD or IFCPC system.

Calculate the overall diagnostic value (ODV) of findings and obtain the top five in diseases

According to the sensitivity, specificity, PPV, NPV, and YI, all findings were ranked from high to low. The first, second, and third top ranking findings were scored as three, two and one, respectively. Sensitivity, specificity, PPV, NPV, and YI were given different coefficients, and the ODV of each finding in the ISSVD and IFCPC systems was calculated as follows: ODV=ranking score (in sensitivity)*1+ranking score (in specificity)*1+ ranking score (in PPV)*1+ranking score (in NPV)*1+ranking score (in YI)*2. Finally, for each disease, the top five ODV findings were obtained for the two systems.

Obtain the disease diagnosis order for each finding

Based on the above findings, which were considered to have high diagnostic value, vulvar diseases were ranked from high to low based on the ODV. A possible disease diagnosis order can be obtained for each finding in the ISSVD and IFCPC systems.

Draw a DFD based on the results of the two systems

Based on the possible disease diagnosis order of each finding in the ISSVD and IFCPC systems, we drew a DFD. The diseases in the diagnosis order at the first, second, third, and fourth positions are marked with numbers and blue arrows of different thicknesses and brightness. The higher the sort, the thicker and darker is the arrow. The flow paths in the ISSVD are marked in yellow, those in the IFCPC systems are marked in green, and the overlapping paths are marked in purple.

Assessment of the DFD on clinical application

Based on the DFD, all the vulvar images were evaluated by another nine observers respectively, who were divided into three groups according to their work experience in colposcopy: those with more than 10 years (3 observers, Group C), those with 5–10 years (3 observers, Group D), and those with less than 5 years (3 observers, Group E). The agreement between the initial impression and histopathological diagnosis was compared among groups A, B, and C, and among Groups C, D, and E, respectively.

Statistical analysis

Statistical analysis was performed using Statistical Package for Social Sciences Version 29.0 Software (SPSS 29.0). Age data were expressed as mean±standard deviation (SD). If the variance was homogeneous, a one-way analysis of variance was used to compare the differences in quantitative variables. If the variance was not homogeneous, Welch’s test was used. The chi-squared test or Kruskal–Wallis test was used to compare the differences between categorical variables. A p-value less than 0.05 was considered to indicate a statistically significant result.

Results

Analysis of basic characteristics of patients

A total of 1,068 patients with vulvar diseases diagnosed by histopathology at the Obstetrics and Gynecology Hospital of Fudan University between January 2020 and December 2022 were included in this study. There were 15 types of vulvar diseases with the proportions of patients as follows: squamous cell carcinoma (SCC, 14/1,068, 1.3 %), HSIL (78/1,068, 7.3 %), vulvar Paget’s disease (12/1,068, 1.1 %), LSIL (397/1,068, 37.2 %), condyloma acuminatum (40/1,068, 3.7 %), vulvitis (252/1,068, 23.6 %), papillomatosis (39/1,068, 3.7 %), lichen simplex chronicus (28/1,068, 2.6 %), lichen sclerosus (55/1,068, 5.1 %), molluscum contagiosum (19/1,068, 1.8 %), epithelia keratinization (46/1,068, 4.3 %), pigment incontinence (25/1,068, 2.3 %), syringoma (16/1,068, 1.5 %), nevus (26/1,068, 2.4 %) and fibroepithelial polyp (21/1,068, 2.0 %). The mean age of all patients was 42.6±15.4 years (range: 16–85 years). As shown in Figure 1A, the differences in the mean age of patients between the SCC group (60.2±16.5 years) and condyloma acuminatum group (36.2±15.1 years), lichen sclerosus group (53.6±15.5 years) and HSIL (43.5±15.0 years), LSIL (39.9±15.0 years) (p<0.05), condyloma acuminatum (36.2±15.1 years), and papillomatosis groups (37.7±11.9 years) were significantly different (p<0.01).

Figure 1: 
The basic characteristics of patients. (A) The age of patients in the 15 groups. Data are expressed as the means±SD. *p<0.05, compared with SCC group; #p<0.05, compared with lichen sclerosus group. (B) The proportion of patients accompanied with CIN or VaIN. The percentages above the stacked bars mean the proportions of patients accompanied CIN or VaIN in each group. (C) The proportions of patients with mucosa lesion, patients with skin lesion, and patients with both lesions. The sum of white and gray bars represents the number of patients with lesions involved the mucosa. The sum of gray and black bars represents the number of patients with lesions involved the skin. SCC, squamous cell carcinoma; HSIL, high-grade squamous intraepithelial lesion; LSIL, low-grade squamous intraepithelial lesion; CIN, cervical intraepithelial neoplasia; VaIN, vaginal intraepithelial neoplasia.
Figure 1:

The basic characteristics of patients. (A) The age of patients in the 15 groups. Data are expressed as the means±SD. *p<0.05, compared with SCC group; #p<0.05, compared with lichen sclerosus group. (B) The proportion of patients accompanied with CIN or VaIN. The percentages above the stacked bars mean the proportions of patients accompanied CIN or VaIN in each group. (C) The proportions of patients with mucosa lesion, patients with skin lesion, and patients with both lesions. The sum of white and gray bars represents the number of patients with lesions involved the mucosa. The sum of gray and black bars represents the number of patients with lesions involved the skin. SCC, squamous cell carcinoma; HSIL, high-grade squamous intraepithelial lesion; LSIL, low-grade squamous intraepithelial lesion; CIN, cervical intraepithelial neoplasia; VaIN, vaginal intraepithelial neoplasia.

Regarding the proportion of patients with cervical or vaginal intraepithelial neoplasia, the differences among the 15 groups were significant (p<0.001), as shown in Figure 1B. The proportion (accompanied CIN or VaIN patients/group patients) in groups decreased from high to low: the vulvar Paget’s disease (10/12, 83.3 %), LSIL (210/397, 52.9 %), HSIL (38/78, 48.7 %), papillomatosis (13/39, 33.3 %), condyloma acuminatum (12/40, 30.0 %), vulvitis (63/252, 25.0 %), nevus (6/26, 23.1 %), SCC (3/14, 21.4 %), syringoma (3/16, 18.8 %), pigment incontinence (4/25, 16.0 %), molluscum contagiosum (3/19, 15.8 %), epithelia keratinization (5/46, 10.9 %), lichen simplex chronicus (3/28, 10.7 %), fibroepithelial polyp (1/21, 4.8 %) and lichen sclerosus (2/55, 3.6 %).

To determine which vulvar lesions are likely to involve the mucosa or skin, the numbers of patients with mucosal lesions, patients with skin lesions, and patients with both lesions were counted, and the differences in these proportions among the 15 groups were significant (p<0.001). As shown in Figure 1C, the highest proportion of mucosa involved [(patients with mucosal lesion+patients with both lesions)/group patients] was condyloma acuminatum (82.5 %), SCC (64.3 %), LSIL (64.2 %), and HSIL (53.8 %), whereas the lesions of lichen simplex chronicus, lichen sclerosus, molluscum contagiosum, syringoma, and fibroepithelial polyp were only found in the skin.

Diagnostic and predictive parameters of each finding in ISSVD and IFCPC systems

The sensitivity, specificity, PPV, NPV, and YI of each finding in the ISSVD and IFCPC systems were calculated and the details are listed in Supplementary Table 1. These data will be used as the basis for the follow-up calculation and analysis of ODV, disease diagnosis order, and DFD.

We then measured the total lesion size and maximum size of a single lesion in the 15 groups (Figure 2A). The total area of lesions in vulvar Paget’s disease, lichen simplex chronicus, lichen sclerosus, papillomatosis, syringoma, and nevus was significantly different from those in the other multiple groups (>10 groups) (p<0.001). The largest total area of lesions was found in vulvar Paget’s disease, and the nevus was the smallest.

Figure 2: 
The total lesion size, the maximum size of single lesion and the mean number of lesions in the 15 groups. (A) The total lesion size in the 15 groups. Data are expressed as the means±SD. (B) The differences in the total lesion size between each two groups. p≥0.05, no straight line; 0.01≤p<0.05, blue straight line; 0.001≤p<0.01, red thin straight line; p<0.001, red thick straight line. (C) The maximum size of single lesion in the 15 groups. Data are expressed as the means±SD. (D) The differences in the maximum size of single lesion between each two groups. p≥0.05, no straight line; 0.01≤p<0.05, blue straight line; 0.001≤p<0.01, red thin straight line; p<0.001, red thick straight line. (E) The mean number of lesions in the 15 groups. Data are expressed as the means±SD. (F) The differences in the mean number of lesions between each two groups. p≥0.05, no straight line; 0.01≤p<0.05, blue straight line; 0.001≤p<0.01, red thin straight line; p<0.001, red thick straight line. SCC, squamous cell carcinoma; HSIL, high-grade squamous intraepithelial lesion; LSIL, low-grade squamous intraepithelial lesion.
Figure 2:

The total lesion size, the maximum size of single lesion and the mean number of lesions in the 15 groups. (A) The total lesion size in the 15 groups. Data are expressed as the means±SD. (B) The differences in the total lesion size between each two groups. p≥0.05, no straight line; 0.01≤p<0.05, blue straight line; 0.001≤p<0.01, red thin straight line; p<0.001, red thick straight line. (C) The maximum size of single lesion in the 15 groups. Data are expressed as the means±SD. (D) The differences in the maximum size of single lesion between each two groups. p≥0.05, no straight line; 0.01≤p<0.05, blue straight line; 0.001≤p<0.01, red thin straight line; p<0.001, red thick straight line. (E) The mean number of lesions in the 15 groups. Data are expressed as the means±SD. (F) The differences in the mean number of lesions between each two groups. p≥0.05, no straight line; 0.01≤p<0.05, blue straight line; 0.001≤p<0.01, red thin straight line; p<0.001, red thick straight line. SCC, squamous cell carcinoma; HSIL, high-grade squamous intraepithelial lesion; LSIL, low-grade squamous intraepithelial lesion.

The largest maximum size of a single lesion was in the vulvar Paget’s disease group and was significantly different from those of the other 10 groups (p<0.05). The smallest was in the molluscum contagiosum which was significantly different from the other 12 groups (p<0.05), as shown in Figure 2B.

The mean number of lesions in the syringoma group was the largest, with an average of 11.4 lesions per patient, which was different from that in the other 14 groups (p<0.05). The number of SCC lesions was the smallest, with an average of 1.08, which was different from the other six groups (p<0.05), as shown in Figure 2C.

A DFD obtained from ODV of each finding in ISSVD and IFCPC systems

To assess the ODV of findings in the ISSVD and IFCPC systems, the ODV composited comprehensively for sensitivity, specificity, PPV, NPV, and YI for each finding was calculated. A total of 35 findings in the ISSVD system and 33 findings in the IFCPC system were included; the top five findings of ODV for each vulvar disease are listed in Table 1. The highest value of ODV obtained was 18, which exist in the following cases: exudation for diagnosis of vulvar Paget’s disease, round for diagnosis of molluscum contagiosum, brown for diagnosis of syringoma, atypical vessels/exotic region/necross bleeding/red gross neoplasm/fragility for diagnosis of SCC.

Table 1:

The top five findings of overall diagnostic value in the 15 vulvar disease groups.

Rank SCC HSIL Vulvar Paget’s disease LSIL Condyloma acuminatum Vulvitis Papillomatosis Lichen simplex chronicus Lichen sclerosus Molluscum contagiosum Epithelia keratinization Pigment incontinence Syringoma Nevus Fibroepithelial polyp
Finding ODV Finding ODV Finding ODV Finding ODV Finding ODV Finding ODV Finding ODV Finding ODV Finding ODV Finding ODV Finding ODV Finding ODV Finding ODV Finding ODV Finding ODV
(A) According to ISSVD system

1 Fragility 18 Rough 12 Exudation 18 Rough 10 Cristate 14 Smooth 10 Rough 12 Medium hardness 14 Medium hardness 15 Round 18 Irregular shape 11 Smooth 10 Brown 18 Round 11 Papule 14
2 Hardness 14 Sharply marginated 10 Erosion 12 Softness 6 Rough 8 Macule 6 Papule 8 Lichenification 11 Lichenification 10 Pink 14 Poorly marginated 10 White 6 Round 14 Smooth 10 Smooth 11
3 Rough 6 Softness 6 Red 8 Villiform 6 Sharply marginated 6 Nodule 6 Sharply marginated 6 Thickening 6 White 4 Papule 10 Spherical 6 Softness 6 Poorly marginated 9 Black 7 Irregular round 8
4 Sharply marginated 6 Gray 4 Ulcer 7 Papule 4 Softness 6 Softness 6 Softness 6 Smooth 6 Thickening 3 Smooth 7 Verrucosa 6 Strip-type 6 Papule 6 Sharply marginated 6 Irregular shape 8
5 Ulcer 4 Brown 4 Plaque 6 Fingerlike 4 Pink 5 Patch 3 Cauliflower-like 6 Strip-type 6 Erosion 3 Sharply marginated 6 Purpura 6 Macule 4 Smooth 6 Softness 6 Softness 6

(B) According to IFCPC system

1 Atypical vessels 18 Dense acetowhite epithelium 15 Exudation 18 Thin acetowhite epithelium 15 Thin acetowhite epithelium 15 Macule 13 Papule 12 Medium hardness 15 Medium hardness 15 Pink 18 Thickening 8 White 13 Brown 18 Black 14 Papule 15
2 Exophytic lesion 18 Coarse punctation 7 Erosion 12 Papule 9 Papule 9 Patch 8 Gray 11 Lichenification 12 Lichenification 10 Papule 14 Softness 6 Macule 8 Papule 14 Papule 13 Skin-colored 14
3 Necrosis bleeding 18 Softness 6 Red 8 Fine punctation 7 Pink 6 Softness 7 Softness 9 White 5 White 4 Softness 10 Purpura 6 Softness 6 Softness 10 Brown 10 Softness 9
4 Red gross neoplasm 18 Fine mosaic 6 Surface irregularities 7 Softness 6 Softness 6 Nodule 5 Plaque 3 Thickening 5 Thickening 3 Lichenification 4 Patch 3 Softness 6 Pink 5
5 Fragility 18 Papule 3 Ulcer 7 Plaque 3 Red 3 Black 3 White 1 Fissure 3 Erosion 3 Excoriation 4 Brown 3 Gray 3
  1. ISSVD, International Society for the Study of Vulvovaginal Disease; SCC, squamous cell carcinoma; HSIL, high-grade squamous intraepithelial lesion; LSIL, low-grade squamous intraepithelial lesion; ODV, overall diagnostic value; IFCPC, International Federation for Cervical Pathology and Colposcopy.

The possible disease diagnosis order was then obtained according to the ODV, as shown in Table 2. We then created a DFD based on the disease diagnosis order (Figure 3). Some findings inferred several kinds of diseases with high diagnostic value, such as smooth, sharply marginated, soft, and papular, which indicated ≥6 kinds of diseases. In contrast, some findings had high diagnostic value only for certain diseases, such as nodules, exudation, petechia, fingerlike, cristate, villiform, black, fragility, hardness, ulcer, coarse punctation, fine mosaic, and atypical vessels, which only indicated a certain disease. To summarize the two systems, the DFD includes all the findings in the two systems, in which the DFD for all findings can be found. The thicker and darker the arrow, the more directional the diagnosis.

Table 2:

The possible disease diagnosis order for each finding according to the overall diagnostic value.

Finding Disease ranking (ODV)
No. 1 No. 2 No. 3 No. 4 No. 5 No. 6
(A) In ISSVD system

Primary lesion Macule Vulvitis (6) Pigment incontinence (4)
Patch Vulvitis (3)
Papule Fibroepithelial polyp (14) Molluscum contagiosum (10) Papillomatosis (8) Syringoma (6) LSIL (4)
Plaque Vulvar Paget’s disease (6)
Nodule Vulvitis (6)
Secondary morphology Ulcer Vulvar Paget’s disease (7) SCC (4)
Erosion Vulvar Paget’s disease (12) Lichen sclerosus (3)
Lichenification Lichen simplex chronicus (11) Lichen sclerosus (10)
Purpura Epithelia keratinization (6)
Surface Rough HSIL/Papillomatosis (12) LSIL (10) Condyloma acuminatum (8) SCC (6)
Smooth Vulvitis/nevus/pigment incontinence (10) Molluscum contagiosum (7) Lichen simplex chronicus/Syringoma (6)
Margination Sharply marginated HSIL (10) SCC/Condyloma acuminatum/Papillomatosis/Molluscum contagiosum/Nevus (6)
Poorly marginated Epithelia keratinization (10) Syringoma (9)
Appearance Thickening Lichen simplex chronicus (6) Lichen sclerosus (3)
Exudation Vulvar Paget’s disease (18)
Configuration Fingerlike LSIL (4)
Cristate Condyloma acuminatum (14)
Villiform LSIL (6)
Cauliflower-like Condyloma acuminatum (6) SCC (5)
Strip-type Lichen simplex chronicus/pigment incontinence (6)
Spherical Molluscum contagiosum (18) Syringoma (14) Nevus (11)
Irregular shape Epithelia keratinization (11) Fibroepithelial polyp (8)
Round Epithelia keratinization (6)
Verrucosa Epithelia keratinization (6)
Irregular round Fibroepithelial polyp (8)
Color Red Vulvar Paget’s disease (8)
Gray HSIL (4)
Pink Molluscum contagiosum (14) Condyloma acuminatum (5)
Brown Syringoma (18) HSIL (4)
White Pigment incontinence (6) Lichen sclerosus (4)
Black Nevus (7)
Lesion texture Fragility SCC (18)
Hardness SCC (14)
Medium hardness Lichen sclerosus (15) Lichen simplex chronicus (14)
Softness HSIL/LSIL/Condyloma acuminatum/vulvitis/Papillomatosis/pigment incontinence/nevus/fibroepithelial polyp (6)

(B) In IFCPC system

Primary lesion Macule Vulvitis (13) Pigment incontinence (8)
Patch Vulvitis (8) Pigment incontinence (3)
Papule Fibroepithelial polyp (15) Syringoma/Molluscum contagiosum (14) Nevus (13) Papillomatosis (12) LSIL/Vulvitis(9) HSIL(3)
Plaque LSIL/Papillomatosis (3)
Nodule Vulvitis (5)
Secondary morphology Erosion Vulvar Paget’s disease (12) Lichen sclerosus (3)
Ulcer Vulvar Paget’s disease (7)
LLichenification Lichen simplex chronicus (12) Lichen sclerosus (10) Epithelia keratinization (4)
Fissure Lichen simplex chronicus (3)
Purpura Epithelia keratinization (6)
Excoriation Epithelia keratinization (4)
Appearance Thickening Epithelia keratinization (8) Lichen simplex chronicus (5) Lichen sclerosus (3)
Exudation Vulvar Paget’s disease (18)
Lesion texture Medium hardness Lichen simplex chronicus/Lichen sclerosus (15)
Softness Molluscum contagiosum/Syringoma (10) Papillomatosis/fibroepithelial polyp (9) Vulvitis (7) HSIL/LSIL/Condyloma acuminatum/epithelia keratinization/pigment incontinence/nevus (6)
Color Gray Papillomatosis (11) Nevus (3)
Red Vulvar Paget’s disease (8) Condyloma acuminatum (3)
Pink Molluscum contagiosum (18) Condyloma acuminatum (6) Fibroepithelial polyp (5)
Black Nevus (14) Vulvitis (3)
Brown Syringoma (18) Nevus (10) Pigment incontinence (3)
Skin-colored Fibroepithelial polyp (14)
White Pigment incontinence (13) Lichen simplex chronicus (5) Lichen sclerosus (4) Papillomatosis (1)
Colposcopic findings Dense AWE HSIL (15)
Coarse punctation HSIL (7)
Fine mosaic HSIL (6)
Thin AWE LSIL/Condyloma acuminatum (15)
Fine punctation LSIL (7)
Surface irregularities Vulvar Paget’s disease (7)
Atypical vessels SCC (18)
Exophytic lesion SCC (18)
Necrosis bleeding SCC (18)
Red gross neoplasm SCC (18)
Fragility SCC (18)
  1. The italic value means the overall diagnostic value of the finding for a certain vulvar disease. ISSVD, International Society for the Study of Vulvovaginal Disease; ODV, overall diagnostic value; No., number; LSIL, low-grade squamous intraepithelial lesion; SCC, squamous cell carcinoma; HSIL, high-grade squamous intraepithelial lesion; IFCPC, International Federation for Cervical Pathology and Colposcopy; AWE, acetowhite epithelium.

Figure 3: 
The diagnosis flow draft (DFD). The diseases in the diagnosis order at the first, second, third, and fourth positions are marked with numbers and blue arrows of different thicknesses and brightness. The higher the sort, the thicker and darker is the arrow. The flow paths in ISSVD are marked in yellow, those in IFCPC systems are marked in green, and overlapping ones are marked in purple. SCC, squamous cell carcinoma; HSIL, high-grade squamous intraepithelial lesion; LSIL, low-grade squamous intraepithelial lesion; AWE, acetowhite epithelium.
Figure 3:

The diagnosis flow draft (DFD). The diseases in the diagnosis order at the first, second, third, and fourth positions are marked with numbers and blue arrows of different thicknesses and brightness. The higher the sort, the thicker and darker is the arrow. The flow paths in ISSVD are marked in yellow, those in IFCPC systems are marked in green, and overlapping ones are marked in purple. SCC, squamous cell carcinoma; HSIL, high-grade squamous intraepithelial lesion; LSIL, low-grade squamous intraepithelial lesion; AWE, acetowhite epithelium.

Validation on the concordance between initial impression based on DFD and histopathologic diagnosis

The concordance rate of the diagnosis between initial impression based on DFD and histopathologic diagnosis was compared among observers with different experiences. As shown in Table 3A, the agreements between the initial impression and histopathology diagnosis for observers with more than 10 years of experience, 5–10 years of experience and less than 5 years of experience were 68.8 , 65.6 and 65.4 %, respectively, and there was no significant difference among them (χ 2=3.448, p=0.178).

Table 3:

Agreement between the initial impression and histopathology diagnosis in observers with (A) different working experience according to diagnosis flow draft; (B) more than 10 years of working experience according to different terminology systems.

Initial impression and histopathology diagnosis, n
Matched Unmatched Total Agreement, %
(A) Working experience of observers

More than 10 years (Group C) 735 333 1,068 68.8
5–10 years (Group D) 701 367 1,068 65.6
Less than 5 years (Group E) 699 369 1,068 65.4
Total 2,135 1,069 3,204

(B) Terminology systems

ISSVD (Group A) 678 390 1,068 63.5
IFCPC (Group B) 695 373 1,068 65.1
DFD (Group C) 735 333 1,068 68.8
Total 2,108 1,096 3,204
  1. ISSVD, International Society for the Study of Vulvovaginal Disease; IFCPC, International Federation for Cervical Pathology and Colposcopy; DFD: diagnosis flow draft.

Relative to the different terminology systems, as shown in Table 3B, the concordance rate for observers with more than 10 years of experience in the ISSVD group, IFCPC group and DFD group were 63.5 , 65.1 and 68.8 %, respectively, where the differences were significant among the three groups (χ 2=7.125, p=0.028).

Discussion

For years, the 2011 ISSVD and 2011 IFCPC terminology and classification systems have been used to describe the findings and lesions in the vulva. The ISSVD terminology system represents a classification system according to the pathophysiology of the disease, but it does not include pattern recognition [9]. In contrast, the IFCPC terminology system can be very useful for describing clinical findings in the vulva, but its classification was not as detailed as that of ISSVD’s, which makes it difficult to compare the clinical findings with the final histological results from the punch biopsy [9]. In addition, clinical evaluation studies on the applicability of these two classification systems for vulvar diseases are extremely scarce. In the present study, we analyzed the clinical diagnostic value of findings in the two systems and developed a DFD based on vulvar appearance impression of the two terminology systems. We also evaluated the clinical application of the DFD in the diagnosis of vulvar diseases.

In this study, 15 types of vulvar diseases were included, including noninfectious inflammation, viral infection, pigmented lesions of the vulva, and neoplasms. Our data showed that patients with SCC (60.2±16.5) and lichen sclerosus (53.6±15.5 years) were generally older, while those with condyloma acuminatum (36.2±15.1 years) were younger. Similar to our results, the median age of patients with vulvar malignancy was 68 years in Virarkar’s report, and the mean age of lichen sclerosus was 55.1 years in women in Torres et al. [10, 11]. This suggests that for vulvar malignancy and lichen sclerosus, particular attention should be paid to older and postmenopausal women [12]. Diţescu et al. reported the onset ages of condyloma acuminatum range from 17 to 33 years in 80 % of cases, which was similar to our results [13]. Condyloma acuminatum associated with HPV infection may be more likely to occur in sexually active young patients [14]. There was a high proportion (accompanied by CIN or VaIN patients/group patients) in the vulvar Paget’s disease (83.3 %), LSIL (52.9 %), and HSIL (48.7 %) groups, indicating that HPV-related disease can manifest throughout the anogenital region rather than being confined to a particular organ [15]. The association between HPV infection and vulvar Paget’s disease remains controversial [1617]. Our data showed a close association between vulvar Paget’s disease and lower genital tract intraepithelial neoplasia with HPV infection, and we suggest making a complete evaluation of the lower genital tract (with cytology, HPV testing, and colposcopy) for patients with vulvar Paget’s disease [16]. According to our results, vulvar dermatosis, molluscum contagiosum, syringoma, and fibroepithelial polyps mainly affect the vulvar skin, while vulvar diseases associated with HPV infection usually involve both the skin and mucosa.

In this study, the largest total area of lesions and the largest maximum size of a single lesion were found in the vulvar Paget’s disease group. This is in line with other reports that extramammary Paget disease has the main characteristics of malignant potential, multiple sites involved, and large size of the lesion [18], [19], [20]. As chronic inflammatory dermatosis without unknown etiology, lichen simplex chronicus and lichen sclerosus currently have no cure and high relapse rate, which may cause the lesion to expand gradually [21, 22]. The main characteristics of molluscum contagiosum are dome-shaped, smooth-surfaced, pearly, firm, skin-colored, pink, yellow, or white papules, 2–5 mm in diameter with central umbilication, and the lesions should be differentiated from those in genital warts, herpes simplex, and herpes zoster [23]. Similar to previous reports, we found that syringomas are frequently multiple with tiny, firm, and skin-colored subcutaneous papules [24, 25].

The application of IFCPC terminology, which provides standardized interpretations and classifications of colposcopic findings in the lower genital tract, including the cervix, vagina, vulva, and anus, has been a concern. Some studies reported the application of the IFCPC system on diagnosis of lower genital tract neoplasia [9, 26, 27]. In some studies, the clinical application of the 2011 IFCPC terminology for the detection of CIN and VaIN were explored, and the diagnostic value of some findings were evaluated [8, 28]. Therefore, we utilized the latest 2011 ISSVD and 2011 IFCPC terminology systems to describe vulvar diseases in this study. Findings that were considered to have high diagnostic value were screened out based on the ODV and combined with both systems. Furthermore, we draw a DFD on the basis of the possible disease diagnosis order, in which the findings and diseases are listed and connected by arrows. Based on vulvar appearance impression, initial impression diagnosis can be soon suggested. We used the ODV, which was composed of sensitivity, specificity, PPV, NPV, and YI, to comprehensively assess the diagnostic value of each finding in the ISSVD and IFCPC systems. The finding with the highest ODV (value=18) was considered to have high diagnostic value for certain vulvar diseases, such as exudation for vulvar Paget’s disease, round for molluscum contagiosum, brown for syringoma, and atypical vessels for SCC. Among the top five findings for each disease, some findings (such as smoothness and softness) were found to infer several (≥6) kinds of diseases, which probably indicated that although they had high diagnostic value for diseases, they were not conducive to differential diagnosis. In contrast, some findings (such as exudation and atypical vessels) only exist in certain diseases, showing that these findings are of high value in distinguishing other diseases.

The aim of the IFCPC was to create terminology that would take into account the 2011 ISSVD vulvar terminology, as well as add terminologies specific to other regions and compatible with colposcopy, so some of the findings in the two systems overlap [6]. For example, the names (such as macules and patches) and color of the lesions are both described in the two systems. Although macule, patch, papule, plaque and nodule are defined differently in diameter in the two systems, this may not affect the identification of the lesion, since measurements are approximate and overlap may occur between “small” and “large” lesions [5]. Some of the findings for the two systems were different. The ISSVD includes the description of the surface (such as smooth and rough), margination (such as sharply marginated and poorly marginated), and configuration (the shape of the lesion), while structures and composition of the vulva, lesion size and location, and colposcopic terminology are added to the IFCPC. Some new features (such as exudation and lesion texture), which were not included in the ISSVD or IFCPC system, were also considered because of their high frequency and diagnostic value in some vulvar diseases.

It is challenging for observers to make an accurate diagnosis of vulvar disease, and one of the most common reasons is lack of training and experience [29]. In this study, the differences in agreements between the initial impression and histopathology diagnosis among the observers with differing amounts of experience in colposcopy were not significant when the DFD was used. Stuebs et al. reported that the overall concordance rate in detecting early vulvar neoplasia using the new classification was 53.9 %, which was lower than that in our study [9]. Furthermore, when different terminology systems were used by examiners with similar experience, the concordance rate in the DFD group was higher than those in the ISSVD and IFCPC groups. For a long time, it has been considered that the judgement and evaluation of vulvar disease are subjective and dependent on the visual sense and experience of observers. The present study showed that observers could obtain a high diagnostic rate even with less experience when using an objectively reliable assistant diagnostic method [8].

However, vulvar diseases are so complex and heterogeneous that trying to simplify them into an algorithm is difficult and can lead to unnecessary biopsies and erroneous treatments. To achieve good management of vulvar diseases, it is still recommended that the specialist be the one to carry out the diagnosis and treatment. Despite the large number of patients in total in this study, the contribution of some diseases is small in numbers, so comparisons can be biased. Thus, more kinds of vulvar disease are needed to be considered. The DFD could be useful for observers with little training in vulvar diseases. However, more precise and refined classification is warranted to be improved. In addition, emphasis should be put on alternative assessments or adjunct technologies (such as immunohistochemical findings, fluorescence labeling and artificial intelligence), which could benefit objective evaluation of the vulva.

Conclusions

In summary, we explored a diagnosis flow draft based on vulvar appearance impression of the two terminology systems for detection of vulvar disease, in which initial impression diagnosis can be soon suggested. The diagnosis flow draft may be of the potential benefit to the diagnosis of vulvar disease in the fields of gynecology, dermatology, venereology, and urogenital departments.


Corresponding authors: Jingxin Ding, Long Sui and Yanyun Li, Obstetrics and Gynecology Hospital of Fudan University, No. 128 Shenyang Road, Shanghai 200090, P.R. China, Phone: +86 021 33189900, E-mail: (J. Ding), (L. Sui), (Y. Li)
Qi Zhou, Fang Chen and Yan Wang contributed equally to this work.

Funding source: Shanghai Nature Science Foundation

Award Identifier / Grant number: 21ZR1410400

Award Identifier / Grant number: 22ZR1408800

Award Identifier / Grant number: 21Y11906500

Award Identifier / Grant number: 82272970

Acknowledgments

The authors thank the Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases. All participants in this study are appreciated.

  1. Research ethics: Institutional Review Board approval was obtained properly (2023–25).

  2. Informed consent: Informed consent was obtained from all individuals included in this study.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Competing interests: The authors state no conflict of interest.

  5. Research funding: This study was supported by the Science and Technology Commission of Shanghai Municipality (No. 21Y11906500), the National Natural Science Foundation of China (Grant No. 82272970) and Shanghai Nature Science Foundation (Grant No. 21ZR1410400 and No. 22ZR1408800).

  6. Data availability: The raw data can be obtained on request from the corresponding author.

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/dx-2023-0146).


Received: 2023-10-15
Accepted: 2023-12-07
Published Online: 2023-12-26

© 2023 the author(s), published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

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