Evolution
The diagnostic framework for AIP has evolved significantly over time. Initially the diagnosis of AIP was based on the Japanese Consensus, originally discussed in 2002 with subsequent modifications done in 2006 and 2011 [ 11 ]. Klöppel et al. from the Mayo Clinic came up with the histology, imaging, serology, other organ involvement and response to therapy (HISORt criteria) for diagnosis of AIP in 2006 [ 12 ]. To reach an international consensus for diagnostic criteria, ICDC were then defined by various experts in Honolulu in 2011 [ 13 ]. The diagnosis of AIP requires the following criteria: (1) imaging findings (parenchymal and ductal), (2) serologic findings, (3) other organ involvement (OOI), (4) histologic findings, (5) response to steroid therapy [ 14 ]. The ICDC is associated with high sensitivity (~ 90%) and specificity (~ 100%) for diagnosis of AIP [ 15 ]. The criteria hold true for both focal and diffuse forms of AIP and hence remains an integral part of the diagnostic algorithm [ 16 ]. Table 1 summarizes the different diagnostic criteria for AIP.
Table 1 Comparison of diagnostic criteria for autoimmune pancreatitis Feature JPS [ 11 ] ICDC [ 16 ] HISORt [ 13 ] Pancreatic imaging Diffuse/segmental enlargement with irregular narrowing of MPD Level 1: Typical imaging (diffuse enlargement, capsule-like rim); Level 2: Segmental changes Imaging evidence of pancreatitis (CT/MRI/ERCP) Serology Elevated IgG4 Level 1: ≥ 2 × ULN; Level 2: < 2 × ULN but above normal Elevated IgG4 level Histopathology Lymphoplasmacytic sclerosing pancreatitis (LPSP) features Type 1 AIP: LPSP (storiform fibrosis, obliterative phlebitis, IgG4 + cells); Type 2: IDCP (granulocytic EP) Pancreatic biopsy showing LPSP or steroid responsiveness Other organ involvement (OOI) Not mandatory Level 1: Typical (e.g. sclerosing cholangitis, retroperitoneal fibrosis); Level 2: Probable OOI OOI such as sclerosing cholangitis, sialadenitis Response to steroids Yes Considered supportive (response within 2–4 weeks is diagnostic if other features are indeterminate) Diagnostic if response is dramatic and other causes excluded ERCP findings Irregular narrowing of MPD Level 1: Long, narrow MPD stricture without upstream dilatation Pancreatogram showing irregular MPD narrowing Type classification Not applicable Differentiates Type 1 (IgG4-related) and Type 2 (idiopathic duct-centric pancreatitis) Focused on Type-1 AIP Unique features Focus on practicality in Japanese population; Most comprehensive criteria with levels of evidence; Distinction between definitive and probable for both Type 1 and Type 2 First to formally recognize Type-2 AIP; Strong emphasis on histology HISORt histology, imaging, serology, other organ involvement and response to therapy, ERCP endoscopic retrograde cholangiopancreatography, MPD main pancreatic duct, ULN upper limit of normal, AIP autoimmune pancreatitis, IgG4 immunoglobulin G4, IDCP idiopathic duct-centric pancreatitis, OOI other organ involvement, CT computerised tomography, MRI magnetic resonance imaging, EP Granulocytic epithelial lesion associated pancreatitis, ICDC International Consensus Diagnostic Criteria, JPS Japan Pancreas Society Criteria
Comparison of diagnostic criteria for autoimmune pancreatitis
HISORt histology, imaging, serology, other organ involvement and response to therapy, ERCP endoscopic retrograde cholangiopancreatography, MPD main pancreatic duct, ULN upper limit of normal, AIP autoimmune pancreatitis, IgG4 immunoglobulin G4, IDCP idiopathic duct-centric pancreatitis, OOI other organ involvement, CT computerised tomography, MRI magnetic resonance imaging, EP Granulocytic epithelial lesion associated pancreatitis, ICDC International Consensus Diagnostic Criteria, JPS Japan Pancreas Society Criteria
Conventional
EUS has emerged as a valuable diagnostic tool in the evaluation and management of AIP, owing to its high sensitivity, ability to assess both —pancreas and surrounding structures— and its role in guiding tissue sampling for histological analysis. There are no pathognomonic EUS imaging findings of AIP.
Diffuse pancreatic enlargement and altered echotexure is seen. Gland border is thickened and echogenic interlobular septa may be seen. There often is loss of normal salt and pepper pattern of the pancreas with bulky mildly hypoechoic parenchyma with hyperechoic strands seen within (Fig. 4 ). The MPD may appear narrowed, irregular with hyperechoic walls [ 19 , 20 ]. Peri-pancreatic fluid collections are less common and not specific for AIP [ 20 ]. However, in rare cases, pseudocysts may be seen.
Fig. 4 ( A ) Pancreatic head showing heterogenous echogenicity with undilated pancreatic duct. ( B ) Diffuse thickening of the bile duct seen on endoscopic ultrasound. ( C ) Biopsy taken from the pancreatic body which also appears heterogeneously hypoechoic. ( D ) Enlarged sub-carinal lymph node which was reactive seen in association with autoimmune pancreatitis
( A ) Pancreatic head showing heterogenous echogenicity with undilated pancreatic duct. ( B ) Diffuse thickening of the bile duct seen on endoscopic ultrasound. ( C ) Biopsy taken from the pancreatic body which also appears heterogeneously hypoechoic. ( D ) Enlarged sub-carinal lymph node which was reactive seen in association with autoimmune pancreatitis
Focal AIP can present as a solitary mass, often seen as a hypoechoic lesion, primarily located in the head of the pancreas. This mass may give the impression of invading nearby vessels and be associated with enlarged peri-pancreatic lymph nodes resembling locally advanced pancreatic cancer (PC) [ 19 , 20 ]. The main pancreatic duct (MPD) wall may appear thickened, narrowed within the lesion. However, pancreatic duct cut-off sign is not seen [ 19 , 20 ]. Despite well-established EUS features of AIP reported globally, there is a notable lack of data from Indian centres. In a previous study by Jain et al. [ 9 ], 41% patients were diagnosed using endoscopic ultrasound-guided biopsy. This gap highlights the critical need for robust, region-specific studies to validate these findings in the Indian context.
The biliary tree is the most common extra-pancreatic organ involvement in AIP and was found to affect 58% of patients in a Japanese survey [ 21 ]. EUS provides a comprehensive view of the entire common bile duct, helping to identify the cause for biliary strictures. A typical EUS feature of the common bile duct is homogeneous, regular thickening of the bile duct wall, known as the “sandwich-pattern”. This pattern is characterized by an echopoor intermediate layer with hyperechoic inner and outer layers (Fig. 3 ). Along with the bile duct, gallbladder wall thickening can also be seen in AIP [ 20 , 22 ]. Intra-ductal ultrasonography (IDUS) can also be used during endoscopic retrograde cholangiography to assess biliary stenosis. Naitoh et al. studied IDUS in 23 IgG4-related sclerosing cholangitis (IgG4-SC) patients and found that circular, symmetric wall thickness with smooth margins and a homogeneous intermediate layer were more common in AIP than cholangiocarcinoma. Additionally, wall thickness in non-strictured areas of IgG4-SC was greater than in Cholangiocarcinoma, with a thickness over 0.8 mm suggesting IgG4-SC [ 23 ].
The reported frequency of lymphadenopathy in AIP patients varies widely across EUS studies, ranging from 31.2% to 72% [ 15 , 24 , 25 ]. Hilar lymphadenopathy is among the most commonly reported extra-pancreatic findings. Enlarged lymph nodes are also observed in the peri-pancreatic and celiac regions [ 21 ]. However, the conventional EUS criteria for predicting malignant lymph nodes such as size (> 1 cm in diameter on the short axis), hypoechoic appearance, round shape and smooth border may not be reliable in pancreato-biliary disorders, making it challenging to distinguish them from those associated with AIP based on EUS features alone [ 26 , 27 ]. AIP can have vascular invasion of medium and large-sized vessels due to the inflammatory process. Peri-pancreatic vascular involvement is a common finding in AIP, detected in 44% to 67% of cases on CT. The most frequently observed vascular abnormalities include stenosis or occlusion of the splenic vein and/or superior mesenteric-portal vein, along with peri-gastric collateral formation [ 28 – 30 ]. In a study of 14 AIP patients, EUS suspected portal or mesenteric vein invasion in 21% of cases, compared to 14% on CT. Notably, none of these patients developed pancreatic cancer during follow-up [ 19 ].
AIP is classified into early-stage disease, which is characterized by a good response to corticosteroid therapy and advanced-stage disease, which is marked by stone and cyst formation resembling findings in chronic alcoholic pancreatitis [ 31 , 32 ]. EUS can help differentiate between the stages of AIP. Kubota et al. [ 33 ] demonstrated that lobularity and a hyperechoic pancreatic duct margin are characteristic EUS features of early AIP, compared to advanced AIP.
AIP constitutes a significant portion of pancreatic resections performed for suspected malignancy. In two surgical series, AIP accounted for 19.5% and 23.4%, respectively, of all cases where benign disease was diagnosed following pancreatic resection performed for suspected malignancy [ 34 , 35 ]. In an Indian study, AIP was initially misdiagnosed as pancreatic cancer due to overlapping clinical and imaging features [ 6 ]. In another series of IgG4-related gastrointestinal disease, one-third of cases were diagnosed after surgery, most of which were autoimmune pancreatitis [ 36 ]. Therefore, correctly diagnosing focal AIP and distinguishing it from PC is crucial, although it is challenging due to overlapping clinical and imaging features. In a study by Guo et al., EUS features for focal AIP included diffuse hypoechogenicity, hyperechoic foci, bile duct wall thickening and peripancreatic hypoechoic margins. In contrast, PC showed focal hypoechogenicity, absence of parenchymal heterogeneity, pancreatic duct dilation and vessel involvement. The model demonstrated excellent diagnostic accuracy, with sensitivity ranging from 83.7% to 91.8% and specificity from 93.3% to 95.6% [ 25 ]. Tacelli et al. [ 37 ] suggested that thickened pancreatic and bile duct walls, an elastic pattern and the absence of vessel infiltration were found to independently support the diagnosis of focal AIP1 over PC. Along with conventional EUS features, advanced EUS modalities such as EUS elastography and contrast-enhanced EUS (CE-EUS) can aid in diagnosing AIP and differentiating between focal AIP and PC. Table 2 summarizes the findings comparing AIP and pancreatic cancer.
Table 2 Differentiating autoimmune pancreatitis from pancreatic cancer using endoscopic ultrasound modalities Feature Autoimmune pancreatitis Pancreatic cancer Conventional EUS Pancreatic morphology Diffuse or focal enlargement with featureless borders; sausage-shaped pancreas Hypoechoic irregular mass, often focal Parenchymal echotexture Hypoechoic, homogenous or mildly heterogeneous Hypoechoic, heterogeneous Main pancreatic duct (MPD) Long segment narrowing with minimal upstream dilation Abrupt ductal cut-off with significant upstream dilation Peri-pancreatic rim Hypoechoic “capsule-like” rim often present Absent Lymphadenopathy Multiple, small, homogenous nodes; commonly non-malignant appearing Usually few, round, hypoechoic, irregular borders; higher suspicion of malignancy Vascular invasion Rare Common (especially with major vessel encasement or narrowing) Peri-vascular changes Peri - vascular hypoechoic cuffing or halo Rare Vessel wall thickening Diffuse concentric Focal, eccentric EUS Elastography Elastography pattern Homogeneous green pattern (softer tissue) Predominantly blue pattern (harder tissue) Strain ratio Low strain ratio ( 6–10) CH-EUS Enhancement pattern Homogeneous or iso-/hyperenhancement Hypoenhancement (due to hypo-perfusion of cancerous tissue) CH-EUS contrast-enhanced harmonic EUS, EUS endoscopic ultrasound
Differentiating autoimmune pancreatitis from pancreatic cancer using endoscopic ultrasound modalities
CH-EUS contrast-enhanced harmonic EUS, EUS endoscopic ultrasound
EUS elastography assesses the elasticity of pancreatic tissue, with regions of increased stiffness potentially indicating fibrosis, a characteristic feature of AIP. There are two main types of EUS elastography: strain elastography and shear-wave elastography (SWE). Strain elastography assesses tissue stiffness by measuring relative deformation in response to external or internal pressure, displaying results as a color-coded map. In AIP, qualitative elastography shows an inflamed area with a predominantly green pattern and slight red or yellow lines, while normal parenchyma appears uniformly green (Fig. 5 ) [ 38 ]. Elastography may also help differentiate AIP from PC, as AIP shows a diffuse stiffness increase, while PC has localized stiffness [ 39 ]. However, it is semi-quantitative and depends on subjective image selection.
Fig. 5 Endoscopic ultrasound showing heterogenous parenchymal echogenicity of the pancreas (left panel); On strain elastography the parenchyma appears diffusely firm (right panel)
Endoscopic ultrasound showing heterogenous parenchymal echogenicity of the pancreas (left panel); On strain elastography the parenchyma appears diffusely firm (right panel)
In contrast, SWE generates shear waves within the tissue and measures their propagation speed to provide absolute elasticity values, offering a more objective and reproducible assessment. A study evaluated the feasibility and clinical utility of EUS shear-wave elastography (EUS-SWE) in diagnosing and monitoring AIP. Tissue elasticity was measured in 160 patients, including 14 with AIP. EUS-SWE had a 97.6% success rate, with the median shear-wave velocity (Vs) in AIP patients (2.57 m/s) significantly higher than in normal controls (1.89 m/s, p = 0.0185). Steroid therapy reduced Vs from 3.32 to 2.46 m/s ( p = 0.0234). The study concluded that EUS-SWM is a feasible and reliable tool for diagnosing AIP and assessing treatment response [ 40 ].
CE-EUS is an advanced imaging technique that enhances the evaluation of pancreatic lesions by providing real-time visualization of microvasculature and tissue perfusion. Its sub-type, contrast-enhanced harmonic EUS (CH-EUS) offers clear, real-time imaging of blood vessels in the target tissue, without artifacts commonly seen with Doppler mode. Additionally, CH-EUS enables the creation of time-intensity curves (TICs) and graphing of the changes in brightness over time through contrast [ 41 ]. A study by Cho et al. assessed the usefulness of CH-EUS in differentiating focal AIP from PC. Among 80 patients, focal AIP showed significantly higher rates of hyper to iso-enhancement (89% vs. 13%), homogeneous contrast distribution (81% vs. 17%) and absence of irregular vessels (85% vs. 30%) compared to PC (all p < 0.05). Combining CH-EUS features improved specificity to 94%. These findings suggest CH-EUS is a valuable non-invasive tool for distinguishing f-AIP from PC [ 42 ].
In another study by Dong et al. [ 43 ], CE-EUS helped differentiate AIP from PC. Among 60 AIP and 16 PC cases, AIP lesions showed iso or hyperenhancement, while PC lesions were mostly hypoenhancing ( p < 0.01). Similarly, Ishikawa et al. investigated the role of CE-EUS in differentiating AIP from PC. Among 36 AIP and 36 PC patients, key EUS findings included hyperechoic areas in AIP and anechoic areas in PC, with PC exhibiting clearer borders and greater MPD dilation. CE-EUS revealed persistent enhancement in AIP (75%) and rapid contrast washout in PC (75%), achieving 75% sensitivity and 100% specificity. These results highlight the diagnostic value of EUS combined with CE-EUS in distinguishing AIP from PC [ 44 ].
A study by Imazu et al. evaluated whether quantitative perfusion analysis using the “Time Intensity Curve” (TIC) with CH-EUS can differentiate AIP from PC. TIC analysis in eight AIP and 22 PC patients showed significantly higher peak intensity (PI) and maximum intensity gain (MIG) in AIP. An MIG cut-off of 12.5 demonstrated high sensitivity and specificity. Thus, CH-EUS with TIC may improve the accuracy of distinguishing AIP from PC [ 45 ]. However, TIC analysis can be challenging as it requires precise techniques, specialized software and careful selection of the region of interest (ROI) to ensure accurate results. Another study by Ishikawa et al. evaluated a simplified multiphase CE-EUS method for differentiating pancreatic solid lesions without relying on a time-intensity curve (TIC). Among 210 patients, including 142 with PC, lesion enhancement patterns at 20, 40 and 60 seconds post-contrast were analyzed. Most PC cases showed an early enhancement followed by a hypovascular pattern, achieving 83.1% sensitivity, 86.8% specificity and 84.3% accuracy. Histopathological differences in tumor infiltration and neural invasion were noted. These findings suggest that multiphase CE-EUS is a practical and effective alternative to TIC for diagnosing pancreatic lesions [ 28 ].
The ICDC outline a multifaceted approach to diagnosing AIP. When imaging findings are characteristic, the diagnosis can often be made without histologic confirmation, allowing for prompt steroid therapy. However, in cases with atypical imaging or a mass-forming lesion, distinguishing AIP from PC becomes essential for determining the appropriate treatment. In such instances, pancreatic biopsy sampling serves as the gold standard for confirming AIP, distinguishing it from cancer and identifying whether it is Type-1 or Type-2 AIP [ 46 ].
EUS-guided fine needle aspiration (FNA) and fine needle biopsy (FNB) are commonly used for obtaining pancreatic tissue in suspected AIP, but their diagnostic performance differs. FNA, traditionally used for cytologic evaluation, often yields insufficient tissue for histopathologic assessment, limiting its utility in diagnosing AIP, which relies on architectural features such as storiform fibrosis and obliterative phlebitis. It can only evaluate one of the four diagnostic criteria (IgG4 + cells), which is insufficient for diagnosing AIP [ 47 ]. In contrast, FNB provides better-preserved core tissue samples, enhancing the ability to meet histologic criteria for AIP. Meta-analyses and comparative studies suggest that FNB has a significantly higher diagnostic yield than FNA while maintaining comparable safety profiles. Therefore, FNB is increasingly preferred over FNA for obtaining adequate histologic samples in AIP diagnosis (Fig. 5 ).
Yoon et al. conducted a meta-analysis to compare the efficacy of EUS-guided FNA and FNB in diagnosing AIP. Analyzing data from nine FNA studies (309 patients) and seven FNB studies (131 patients), they found that FNB had a significantly higher pooled diagnostic yield for level 1 or 2 histologic criteria of AIP (87.2% vs. 55.8%, p = 0.030), while histologic tissue procurement rates were similar between the two techniques (91.3% for FNA vs. 87.0% for FNB, p = 0.501). Adverse events were comparable between groups. Additionally, 19G needles had a superior diagnostic yield compared to 22G needles (88.9% vs. 60.6%, p = 0.023). These findings suggest that FNB may offer better diagnostic accuracy for AIP, highlighting the need for a standardized definition of histologic sample adequacy [ 48 ].
A recent meta-analysis by Facciorusso et al. evaluated the diagnostic performance of EUS-guided FNA and FNB in AIP across 15 studies with 631 patients. The overall diagnostic accuracy of EUS tissue acquisition was 54.7%, with FNB significantly outperforming FNA (63% vs. 45.7%, p < 0.001). FNB also provided a higher rate of level 1 histological diagnosis (44.2% vs. 21.9%, p < 0.001) and definitive histopathology (24.3% vs. 14.7%, p < 0.001). The procedure was safe, with less than 1% experiencing post-procedural acute pancreatitis. These findings highlight the modest overall accuracy of EUS-guided sampling in AIP, but support the superior diagnostic yield of FNB over FNA [ 49 ]. As a result, EUS-guided tissue acquisition is shifting from FNA to FNB. Initial reports on EUS-FNB utilized Tru-Cut biopsy needles; however, these are no longer available due to limited manoeuvrability. The first second-generation FNB device introduced was a side-fenestrated reverse-beveled needle, but it failed to show significant advantages over standard FNA. More recently, advanced FNB needles with forward-acquiring designs have been developed, including Franseen-tip, fork-tip, Menghini-type and side-fenestrated forward-cutting beveled needles. Studies have demonstrated that these new-generation FNB needles provide superior histologic and diagnostic yields compared to both traditional FNA and earlier reverse-beveled FNB needles for evaluating solid pancreatic lesions. A recent retrospective study by Takada et al. compared the diagnostic performance of three EUS-FNB needles (Franseen needle, Menghini-tip needle and Reverse-bevel needle) for solid pancreatic masses, finding the Franseen needle superior in histologic core procurement, sensitivity and accuracy [ 50 ]. Kurita et al. in their prospective, multicentre trial compared two EUS-FNB needles for diagnosing Type-1 AIP. Total 101 patients were evaluated using either a 22-gauge Franseen needle or a 20-gauge forward-bevel needle. The Franseen needle obtained significantly more high-power fields and diagnosed a higher percentage of patients with level 1 or 2 lymphoplasmacytic sclerosing pancreatitis (LPSP) (78% vs. 45%, p = 0.001). Given its superior performance, the 22-gauge Franseen needle is recommended for routine histologic diagnosis of Type-1 AIP [ 51 ]. While wet suction is said to be better than other suction techniques for tissue sampling of solid pancreatic lesions, there is no data available exclusively for a cohort of AIP [ 35 ]. Also since histopathology is a critical issue in diagnosis of AIP, macroscopic on-site examination (MOSE) appears more relevant than rapid on-site examination which usually only gives cytology [ 52 ]. Figure 6 summarizes the diagnostic algorithm for differentiating AIP and pancreatic cancer [ 53 ]. Ampullary biopsy can aid in diagnosing AIP, especially when serum IgG4 is normal or pancreatic tissue is inaccessible. IgG4-positive staining (> 10 cells/HPF) shows good specificity (89% to 100%) for AIP and the procedure is safe with no major reported complications. The ICDC recommends ampullary biopsy during endoscopic retrograde cholangiopancreatography (ERCP) when AIP is suspected [ 54 ]. Fig. 6 Diagnostic algorithm for suspected mass in pancreas and differentiation from autoimmune pancreatitis. CECT contrast-enhanced computed tomography, MPD main pancreatic duct, AIP autoimmune pancreatitis, IgG4 immunoglobulin G4, CA 19-9 carbohydrate antigen 19-9, EUS endoscopic ultrasound, FNB fine needle biopsy
Diagnostic algorithm for suspected mass in pancreas and differentiation from autoimmune pancreatitis. CECT contrast-enhanced computed tomography, MPD main pancreatic duct, AIP autoimmune pancreatitis, IgG4 immunoglobulin G4, CA 19-9 carbohydrate antigen 19-9, EUS endoscopic ultrasound, FNB fine needle biopsy
EUS can effectively visualize steroid-induced changes in the pancreatic parenchyma and ductal structures such as parenchymal hypertrophy, hyperechoic foci, hyperechoic strands, lobularity and a high-echoic margin of the main pancreatic duct. These features often respond to steroid therapy with atrophy seen after therapy (Fig. 5 ). Unlike abdominal ultrasound, EUS provides clearer imaging of these specific findings, offering a potential advantage in diagnosing and monitoring AIP [ 24 , 55 ].
With the ongoing advancements in technology, the integration of artificial intelligence (AI) into EUS imaging holds great promise for enhancing diagnostic accuracy. Marya et al. [ 56 ] developed an EUS-based convolutional neural network (CNN) to differentiate AIP from PC, chronic pancreatitis (CP) and normal pancreas (NP). Trained on EUS images and videos from 583 patients, the model showed high sensitivity and specificity, including 99% sensitivity and 98% specificity for distinguishing AIP from NP and 90% sensitivity with 93% specificity for AIP vs. PC. This CNN model offers the potential for earlier, more accurate diagnosis of AIP, improving patient outcomes and management [ 56 ].
In summary, EUS has become an increasingly valuable tool in the diagnosis and management of AIP, offering detailed imaging and tissue acquisition capabilities. EUS remains an underutilized but pivotal modality in India for the early and accurate diagnosis of AIP. Emerging technologies such as EUS-based artificial neural networks, hold promise for enhancing diagnostic precision but require further validation. To improve consistency in clinical practice, incorporating EUS-specific criteria into existing AIP diagnostic guidelines is essential. Despite these advancements, India lacks multicentre prospective studies—particularly those evaluating the role of EUS in AIP. There is a clear need for collaborative national registries and research networks to generate high-quality, region-specific data and to develop standardized diagnostic algorithms suited to the Indian population.
Introduction
Autoimmune pancreatitis (AIP) is an immune-mediated chronic fibroinflammatory condition of the pancreas that typically responds well to corticosteroid therapy [ 1 ]. It is a subset of chronic pancreatitis that has unique histologic, morphologic and clinical characteristics [ 2 ]. It has been reported to constitute up to 2% of all chronic pancreatitis cases, with a prevalence of less than one per 100,000 people [ 3 ]. Over the past few years, the global prevalence of AIP has risen as a result of improved characterization and increased awareness of the disease [ 4 , 5 ]. In a retrospective case series from a tertiary centre in north India, Noor et al. reported that autoimmune pancreatitis accounted for approximately 2.6% of chronic pancreatitis cases evaluated over a three-year period, highlighting the need for a high index of suspicion in diagnosing autoimmune pancreatitis [ 6 ].
According to The International Consensus Diagnostic Criteria (ICDC), there are two sub-types of AIP. Type-1 AIP (AIP1), also known as lymphoplasmacytic sclerosing pancreatitis, is the pancreatic manifestation of IgG4-related systemic disease. It is marked by high serum IgG4 and IgG4-rich lymphoplasmacytic infiltration with sclerosis [ 7 ]. While elevated serum IgG4 levels are a hallmark of Type-1 AIP, Indian studies have reported variability. In a north Indian cohort, Rana et al. noted that nearly 20% of patients with Type-1 AIP had normal IgG4 levels, indicating that reliance on this parameter alone may reduce diagnostic sensitivity in the Indian population [ 8 ]. In a large series from western India by Jain et al. [ 9 ], IgG4 was normal in 32% patients with IgG4-related digestive disease.
The disease commonly affects multiple organs, primarily the pancreatic-hepatobiliary system (45%), salivary glands (37%) and other organs. Predominantly seen in Asia, it typically presents with obstructive jaundice in elderly males and can be diagnosed without pancreatic biopsy when other diagnostic criteria are met [ 10 ]. In a previous study by Jain et al. [ 9 ], other organ involvement was seen in 18% patients with IgG4-related digestive disease. In contrast, Type-2 AIP (AIP2) features a distinctive histological pattern called idiopathic duct-centric pancreatitis with granulocytic epithelial lesions. More prevalent in Europe and the US, it typically affects younger patients in their 30s and 40s without gender predilection. Unlike AIP1, it presents primarily with abdominal pain and acute pancreatitis, remains confined to the pancreas and shows minimal to no IgG4 activity [ 11 ]. In a study by Rana et al. from PGIMER, north India, among 18 patients diagnosed with autoimmune pancreatitis, Type-1 AIP accounted for 72% (13 patients; four definite, nine probable), while Type-2 AIP was identified in only 11% (two patients). This highlights the predominance of Type-1 AIP in the Indian population, mirroring global trends [ 8 ].
A definitive diagnosis and differentiation into sub-types requires histological confirmation through tissue sampling [ 12 ]. Importantly, Type-1 and Type-2 AIP cannot be distinguished based on imaging, as both sub-types may present with either diffuse or focal pancreatic involvement [ 13 ]. While steroids effectively induce remission in over 95% of cases, disease relapse occurs in approximately 30% of Type-1 and 9% of Type-2 patients after initial remission [ 14 ]. Recently Type-3 AIP has also been described in patients receiving immune checkpoint inhibitor therapy for various cancers [ 15 ].